Welcome to Data retriever’s documentation!

Contents:

User Guide

We handle the data so you can focus on the science

Finding data is one thing. Getting it ready for analysis is another. Acquiring, cleaning, standardizing and importing publicly available data is time consuming because many datasets lack machine readable metadata and do not conform to established data structures and formats.

The Data Retriever automates the first steps in the data analysis pipeline by downloading, cleaning, and standardizing datasets, and importing them into relational databases, flat files, or programming languages. The automation of this process reduces the time for a user to get most large datasets up and running by hours, and in some cases days.

What data tasks does the Retriever handle

The Data Retriever handles a number of common tasks including:

1. Creating the underlying database structures, including automatically determining the data types

2. Downloading the data

3. Transforming data into appropriately normalized forms for database management systems (e.g., “wide” data into “long” data and splitting tables into proper sub-tables to reduce duplication)

4. Converting heterogeneous null values (e.g., 999.0, -999, NaN) into standard null values

5. Combining multiple data files into single tables

6. Placing all related tables in a single database or schema.

A couple of examples on the more complicated end include the Breeding Bird Survey of North America (breed-bird-survey) and the Alwyn Gentry Tree Transect data(gentry-forest-transects):

• Breeding bird survey data consists of multiple tables. The main table is divided into one file per region in 70 individual compressed files. Supplemental tables required to work with the data are posted in a variety of locations and formats. The Data Retriever automates: downloading all data files, extracting data from region-specific raw data files into single tables, correcting typographic errors, replacing non-standard null values, and adding a Species table that links numeric identifiers to actual species names.

• The Gentry forest transects data is stored in over 200 Excel spreadsheets, each representing an individual study site, and compressed in a zip archive. Each spreadsheet contains counts of individuals found at a given site and all stems measured from that individual; each stem measurement is placed in a separate column, resulting in variable numbers of columns across rows, a format that is difficult to work with in both database and analysis software. There is no information on the site in the data files themselves, it is only present in the names of the files. The Retriever downloads the archive, extracts the files, and splits the data they contain into four tables: Sites, Species, Stems, and Counts, keeping track of which file each row of count data originated from in the Counts table and placing a single stem on each row in the Stems table.

Adapted from Morris & White 2013.

Installing (binaries)

Precompiled binaries of the most recent release are available for Windows, OS X, and Ubuntu/Debian at the project website.

Installing From Source

Required packages

To install the Data Retriever from source, you’ll need Python 3.6.8+ with the following packages installed:

• xlrd

The following packages are optional

• PyMySQL (for MySQL)

• sqlite3 (for SQLite, v3.8 or higher required)

• psycopg2-binary (for PostgreSQL)

• pypyodbc (for MS Access)

Steps to install from source

1. Clone the repository

2. From the directory containing setup.py, run the following command: python setup.py install or use pip pip install . --upgrade to install and pip uninstall retriever to uninstall the retriever

3. After installing, type retriever from a command prompt to see the available options of the Data Retriever. Use retriever --version to confirm the version installed on your system.

Using the Data Retriever Commands

After installing, run retriever update to download all of the available dataset scripts. Run retriever ls to see the available datasets

To see the full list of command line options and datasets run retriever --help. The output will look like this:

usage: retriever [-h] [-v] [-q]
                 {download,install,defaults,update,new,new_json,edit_json,delete_json,ls,citation,reset,help,commit}
                 ...

positional arguments:
  {download,install,defaults,update,new,new_json,edit_json,delete_json,ls,citation,reset,help}
                        sub-command help
    download            download raw data files for a dataset
    install             download and install dataset
    defaults            displays default options
    update              download updated versions of scripts
    new                 create a new sample retriever script
    new_json            CLI to create retriever datapackage.json script
    edit_json           CLI to edit retriever datapackage.json script
    delete_json         CLI to remove retriever datapackage.json script
    ls                  display a list all available dataset scripts
    citation            view citation
    reset               reset retriever: removes configuration settings,
                        scripts, and cached data
    help
    commit              commit dataset to a zipped file
    log                 see log of a committed dataset

optional arguments:
  -h, --help            show this help message and exit
  -v, --version         show program's version number and exit
  -q, --quiet           suppress command-line output

To install datasets, use the install command.

Examples

Using install

The install command downloads the datasets and installs them in the desired engine.

$ retriever install -h (gives install options)

usage: retriever install [-h] [--compile] [--debug]
                         {mysql,postgres,sqlite,msaccess,csv,json,xml} ...
positional arguments:
  {mysql,postgres,sqlite,msaccess,csv,json,xml}
                        engine-specific help
    mysql               MySQL
    postgres            PostgreSQL
    sqlite              SQLite
    msaccess            Microsoft Access
    csv                 CSV
    json                JSON
    xml                 XML
optional arguments:
  -h, --help            show this help message and exit
  --compile             force re-compile of script before downloading
  --debug               run in debug mode

Examples using install

These examples use Breeding Bird Survey data (breed-bird-survey). The retriever has support for various databases and flat file formats (mysql, postgres, sqlite, msaccess, csv, json, xml). All the engines have a variety of options or flags. Run `retriever defaults to see the defaults. For example, the default options for mysql and postgres engines are given below.

retriever defaults

Default options for engine  MySQL
user   root
password
host   localhost
port   3306
database_name   {db}
table_name   {db}.{table}

Default options for engine  PostgreSQL
user   postgres
password
host   localhost
port   5432
database   postgres
database_name   {db}
table_name   {db}.{table}

Help information for a particular engine can be obtained by running retriever install [engine name] [-h] [–help], for example, retriever install mysql -h. Both mysql and postgres require the database user name --user [USER], -u [USER] and password --password [PASSWORD], -p [PASSWORD]. MySQL and PostgreSQL database management systems support the use of configuration files. The configuration files provide a mechanism to support using the engines without providing authentication directly. To set up the configuration files please refer to the respective database management systems documentation.

Install data into Mysql:

retriever install mysql –-user myusername –-password ***** –-host localhost –-port 8888 –-database_name testdbase breed-bird-survey
retriever install mysql –-user myusername breed-bird-survey (using attributes in the client authentication configuration file)

Install data into postgres:

retriever install postgres –-user myusername –-password ***** –-host localhost –-port 5432 –-database_name testdbase breed-bird-survey
retriever install postgres breed-bird-survey (using attributes in the client authentication configuration file)

Install data into sqlite:

retriever install sqlite breed-bird-survey -f mydatabase.db (will use mydatabase.db)
retriever install sqlite breed-bird-survey (will use or create default sqlite.db in working directory)

Install data into csv:

retriever install csv breed-bird-survey --table_name  "BBS_{table}.csv"
retriever install csv breed-bird-survey

Using download

The download command downloads the raw data files exactly as they occur at the source without any clean up or modification. By default the files will be stored in the working directory.

--path can be used to specify a location other than the working directory to download the files to. E.g., --path ./data

--subdir can be used to maintain any subdirectory structure that is present in the files being downloaded.

retriever download -h (gives you help options)
retriever download breed-bird-survey (download raw data files to the working directory)
retriever download breed-bird-survey –path  C:\Users\Documents (download raw data files to path)

Using citation

The citation command show the citation for the retriever and for the scripts.

retriever citation (citation of the Data retriever)
retriever citation breed-bird-survey (citation of Breed bird survey data)

To create new, edit, delete scripts please read the documentation on scripts

Storing database connection details

The retriever reads from the standard configuration files for the database management systems. If you want to store connection details they should be stored in those files. Make sure to secure these files appropriately.

For postgreSQL, create or modify ~/.pgpass. This is a file named .pgpass located in the users home directory. On Microsoft Windows, the file is named %APPDATA%postgresqlpgpass.conf (where %APPDATA% refers to the Application Data subdirectory in the user’s profile). It should take the general form:

hostname:port:database:username:password

where each word is replaced with the correct information for your database connection or replaced with an * to apply to all values for that section.

For MySQL, create or modify ~/.my.cnf. This is a file named .my.cnf located in the users home directory. The relevant portion of this file for the retriever is the client section which should take the general form:

[client]
host=hostname
port=port
user=username
password=password

where each word to the right of the = is replaced with the correct information for your database connection. Remove or comment out the lines for any values you don’t want to set.

Acknowledgments

Development of this software was funded by the Gordon and Betty Moore Foundation’s Data-Driven Discovery Initiative through Grant GBMF4563 to Ethan White and the National Science Foundation as part of a CAREER award to Ethan White.

Quick Start

The Data Retriever is written in Python and has a Python interface, a command line interface or an associated R package. It installs publicly available data into a variety of databases (MySQL, PostgreSQL, SQLite) and flat file formats (csv, json, xml).

Installation

Using conda:

$ conda install retriever -c conda-forge

or pip:

$ pip install retriever

To install the associated R package:

$ install.packages('rdataretriever')

Python interface

Import:

$ import retriever as rt

List available datasets:

$ rt.dataset_names()

Load data on GDP from the World bank:

$ rt.fetch('gdp')

Install the World Bank data on GDP into an SQLite databased named “gdp.sqlite”:

$ rt.install_sqlite('gdp', file='gdp.sqlite)

Command line interface

List available datasets:

$ retriever ls

Install the Portal dataset into a set of json files:

$ retriever install json portal

Install the Portal dataset into an SQLite database named “portal.sqlite”:

$ retriever install sqlite portal -f portal.sqlite

R interface

List available datasets:

$ rdataretriever::datasets()

Load data on GDP from the World bank:

$ rdataretriever::fetch(dataset = 'gdp')

Install the GDP dataset into SQLite:

$ rdataretriever::install('gdp', 'sqlite')

Learn more

Check out the rest of the documentation for more commands, details, and datasets.

Available install formats for all interfaces are: mysql, postgres, sqlite, csv, json, and xml.

Using the Data Retriever from R

rdataretriever

The rdataretriever provides an R interface to the Data Retriever so that the retriever’s data handling can easily be integrated into R workflows.

Installation

To use the R package rdataretriever, you first need to install the Data Retriever.

The rdataretriever can then be installed using install.packages("rdataretriever")

To install the development version, use devtools

# install.packages("devtools")
library(devtools)
install_github("ropensci/rdataretriever")

Note: The R package takes advantage of the Data Retriever’s command line interface, which must be available in the path. This path is given to the rdataretriever using the function use_RetrieverPath(). The location of retriever is dependent on the Python installation (Python.exe, Anaconda, Miniconda), the operating system and the presence of virtual environments in the system. The following instances exemplify this reliance and how to find retriever’s path.

Ubuntu OS with default Python:

If retriever is installed in default Python, it can be found out in the system with the help of which command in the terminal. For example:

$ which retriever
/home/<system_name>/.local/bin/retriever

The path to be given as input to use_RetrieverPath() function is /home/<system_name>/.local/bin/ as shown below:

library(rdataretriever)
use_RetrieverPath("/home/<system_name>/.local/bin/")

The which command in the terminal finds the location of retriever including the name of the program, but the path required by the function is the directory that contains retriever. Therefore, the retriever needs to be removed from the path before using it.

Ubuntu OS with Anaconda environment:

When retriever is installed in an virtual environment, the user can track its location only when that particular environment is activated. To illustrate, assume the virtual environment is py27:

$ conda activate py27
(py27) $ which retriever
/home/<system_name>/anaconda2/envs/py27/bin/retriever

This path can be used for rdataretriever after removing retriever as follows:

library(rdataretriever)
use_RetrieverPath("/home/<system_name>/anaconda2/envs/py27/bin/")

Note: rdataretriever will be able to locate retriever even if the virtual environment is deactivated.

rdataretriever functions:

datasets()

Description : The function returns a list of available datasets.

Arguments : No arguments needed.

Example :

rdataretriever::datasets()

fetch()

Description : Each datafile in a given dataset is downloaded to a temporary directory and then imported as a data.frame as a member of a named list.

Arguments :

• dataset (String): Name of dataset to be downloaded

• quiet (Bool): The argument decides if warnings need to be displayed (TRUE/FALSE)

• data_name (String): Name assigned to dataset once it is downloaded

Example :

rdataretriever :: fetch(dataset = 'portal')

download()

Description : Used to download datasets directly without cleaning them and when user does not have a specific preference for the format of the data and the kind of database.

Arguments :

• dataset (String): Name of the dataset to be downloaded.

• path (String): Specify dataset download path.

• quiet (Bool): Setting TRUE minimizes the console output.

• sub_dir (String): sub_dir downloaded dataset is stored into a custom subdirectory.

• debug (Bool): Setting TRUE helps in debugging in case of errors.

• use_cache (Bool): Setting FALSE reinstalls scripts even if they are already installed.

Example :

rdataretriever :: download("iris","/Users/username/Desktop")

Installation functions

Format specific installation

Description : rdataretriever supports installation of datasets in three file formats through different functions:

• csv (install_csv)

• json (install_json)

• xml (install_xml)

Arguments : These functions require same arguments.

• dataset (String): Name of the dataset to install.

• table_name (String): Specify the table name to install.

• data_dir (String): Specify the dir path to store data, defaults to working dir

• debug (Bool): Setting TRUE helps in debugging in case of errors.

• use_cache (Bool): Setting FALSE reinstalls scripts even if they are already installed.

Example :

rdataretriever :: install_csv("bird-size",table_name = "Bird_Size",debug = TRUE)

Database specific installation

Description : rdataretriever supports installation of datasets in four different databses through different functions:

• MySQL (install_mysql)

• PostgreSQL (install_postgres)

• SQLite (install_sqlite)

• MSAccess (install_msaccess)

Arguments for PostgreSQL and MySQL :

• database_name (String): Specify database name.

• debug (Bool): Setting True helps in debugging in case of errors.

• host (String): Specify host name for database.

• password (String): Specify password for database.

• port (Int): Specify the port number for installation.

• quiet (Bool): Setting True minimizes the console output.

• table_name (String): Specify the table name to install.

• use_cache (Bool): Setting False reinstalls scripts even if they are already installed.

• user (String): Specify the username.

Example :

rdataretriever :: install_postgres(dataset = 'portal', user='postgres', password='abcdef')

Arguments for MSAccess and SQLite :

• file (String): Enter file_name for database.

• table_name (String): Specify the table name to install.

• debug (Bool): Setting True helps in debugging in case of errors.

• use_cache (Bool): Setting False reinstalls scripts even if they are already installed.

Example :

rdataretriever :: install_sqlite(dataset = 'iris', file = 'sqlite.db',debug=FALSE, use_cache=TRUE)

get_updates()

Description : This function will check if the version of the retriever’s scripts in your local directory ‘ ~/.retriever/scripts/’ is up-to-date with the most recent official retriever release.

Example :

rdataretriever :: get_updates()

reset()

Description : The function will Reset the components of rdataretriever using scope [ all, scripts, data, connection]

Arguments :

• scope : Specifies what components to reset. Options include: ’scripts’, ’data’, ’connection’ and ’all’, where ’all’ is the default setting that resets all components.

Example :

rdataretriever :: reset(scope = 'data')

Examples

library(rdataretriever)

# List the datasets available via the retriever
rdataretriever::datasets()

# Install the Gentry forest transects dataset into csv files in your working directory
rdataretriever::install('gentry-forest-transects', 'csv')

# Download the raw Gentry dataset files without any processing to the
# subdirectory named data
rdataretriever::download('gentry-forest-transects', './data/')

# Install and load a dataset as a list
Gentry = rdataretriever::fetch('gentry-forest-transects')
names(gentry-forest-transects)
head(gentry-forest-transects$counts)

To get citation information for the rdataretriever in R use citation(package = 'rdataretriever'):

Using the retriever-recipes

retriever-recipes

The Data Retriever earlier used a simple CLI for developing new dataset scripts. This allowed users with no programming experience to quickly add most standard datasets to the Retriever by specifying the names and locations of the tables along with additional information about the configuration of the data. The script is saved as a JSON file, that follows the DataPackage standards.

This functionality has been moved to the retriever-recipes repository to separate the scripts from the core retriever functionalities to help with organization, maintenance, and testing. The retriever recipes repository thus holds all the scripts which were earlier shipped with retriever and also all the script adding/editing functionalities.

Installation

The retriever-recipes project can be installed from Github using the following steps:

git clone https://www.github.com/weecology/retriever-recipes.git
cd retriever-recipes
python setup.py install

Script Creation

To create a new script, there are 2 methods :-

1. Use retriever autocreate to automatically create a script template. Specify the type of data using -dt, the default data type is tabular. Download the files to a folder. In case of tabular data, the files should be CSV files. Autocreate can create a script template for each file using -f or use -d to create a single script template for all files in the directory.

usage: retriever autocreate [-h] [-dt [{raster,vector,tabular}]] [-f] [-d]
                            [-o [O]] [--skip-lines SKIP_LINES]
                            path

positional arguments:
  path                  path to the data file(s)

optional arguments:
  -h, --help            show this help message and exit
  -dt [{raster,vector,tabular}]
                        datatype for files
  -f                    turn files into scripts
  -d                    turn a directory and subdirectories into scripts
  -o [O]                write scripts out to a designated directory
  --skip-lines SKIP_LINES
                        skip a set number of lines before processing data

2. Manual script creation using retriever-recipes new_json, which starts the CLI tool for new script creation.

Required

1. name: A one word name for the dataset

Strongly recommended

1. title: Give the name of the dataset

2. description: A brief description of the dataset of ~25 words.

3. citation: Give a citation if available

4. homepage: A reference to the data or the home page

5. keywords: Helps in classifying the type of data (i.e using Taxon, Data Type, Spatial Scale, etc.)

Mandatory for any table added; Add Table? (y/N)

1. table-name: Name of the table, URL to the table

2. table-url: Name of the table, URL to the table

Basic Scripts

The most basic scripts structure requires only some general metadata about the dataset, i.e., the shortname of the database and table, and the location of the table.

Example of a basic script, example.script

Creating script from the CLI

name (a short unique identifier; only lowercase letters and - allowed): example-mammal
title: Mammal Life History Database - Ernest, et al., 2003
description:
citation: S. K. Morgan Ernest. 2003. Life history characteristics of placental non-volant mammals. Ecology 84:3402.
homepage (for the entire dataset):
keywords (separated by ';'): mammals ; compilation

Add Table? (y/N): y
table-name: species
table-url: http://esapubs.org/archive/ecol/E084/093/Mammal_lifehistories_v2.txt
missing values (separated by ';'):
replace_columns (separated by ';'):
delimiter:
do_not_bulk_insert (bool = True/False):
contains_pk (bool = True/False):
escape_single_quotes (bool = True/False):
escape_double_quotes (bool = True/False):
fixed_width (bool = True/False):
header_rows (int):
Enter columns [format = name, type, (optional) size]:


Add crosstab columns? (y,N): n

Add Table? (y/N): n

Created script

{
    "citation": "S. K. Morgan Ernest. 2003. Life history characteristics of placental non-volant mammals. Ecology 84:3402.",
    "description": "",
    "homepage": "",
    "keywords": [
        "Mammals",
        "Compilation"
    ],
    "name": "example-mammal",
    "resources": [
        {
            "dialect": {},
            "name": "species",
            "schema": {
                "fields": []
            },
            "url": "http://esapubs.org/archive/ecol/E084/093/Mammal_lifehistories_v2.txt"
        }
    ],
    "retriever": "True",
    "retriever_minimum_version": "2.0.dev",
    "title": "Mammal Life History Database - Ernest, et al., 2003"
    "version": "1.0.0"
}

Explanation for the keys:

• citation: Citation for the dataset

• description: Description for the dataset

• homepage: Homepage or website where the data is hosted

• keywords: Keywords/tags for the dataset (for searching and classification)

• name: Shortname for the dataset. Unique, URL-identifiable

• resources: List of tables within the dataset

  • dialect: Metadata for retriever to process the table

    • missingValues: (Optional) List of strings which represents missing values in tables

    • delimiter: (Optional) a character which represent boundary between two separate value(ex. ‘,’ in csv files)

    • header_rows: (Optional) number of header rows in table.

  • name: Name of the table

  • schema: List of the columns in the table

    • fields: (Optional-Recommended) List of columns and their types and (optional) size values

    • ct_column: (Optional) Cross-tab column with column names from dataset

  • url: URL of the table

• retriever: Auto generated tag for script identification

• retriever_minimum_version: Minimum version that supports this script

• title: Title/Name of the dataset

• urls: dictionary of table names and the respective urls

• version: “1.0.0”

Multiple Tables

A good example of data with multiple tables is Ecological Archives E091-124-D1, McGlinn et al. 2010. plant-comp-ok Vascular plant composition data. Since there are several csv files, we create a table for each of the files.

Assuming we want to call our dataset McGlinn2010, below is an example of the script that will handle this data

...
  "name": "McGlinn2010",
  "resources": [
      {
          "dialect": {},
          "name": "pres",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E091/124/TGPP_pres.csv"
      },
      {
          "dialect": {},
          "name": "cover",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E091/124/TGPP_cover.csv"
      },
      {
          "dialect": {},
          "name": "richness",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E091/124/TGPP_rich.csv"
      },
      {
          "dialect": {},
          "name": "species",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E091/124/TGPP_specodes.csv"
      },
      {
          "dialect": {},
          "name": "environment",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E091/124/TGPP_env.csv"
      },
      {
          "dialect": {},
          "name": "climate",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E091/124/TGPP_clim.csv"
      }
  ],
  "retriever": "True",
  "retriever_minimum_version": "2.0.dev",
  "title": "Vascular plant composition - McGlinn, et al., 2010",
  ...

Null Values

The Retriever can replace non-standard null values by providing a semi-colon separated list of those null values after the table in which the null values occur.

...
Table name: species
Table URL: http://esapubs.org/archive/ecol/E084/093/Mammal_lifehistories_v2.txt
nulls (separated by ';'): -999 ; 'NA'
...

For example, the Adler et al. 2010. mapped-plant-quads-ks script uses -9999 to indicate null values.

...
      {
          "dialect": {},
          "name": "quadrat_info",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E088/161/quadrat_info.csv"
      },
      {
          "dialect": {
              "missingValues": [
                  "NA"
              ]
          },
...

Headers

If the first row of a table is the headers then naming the columns will, be default, be handled automatically. If you want to rename an existing header row for some reason, e.g., it includes reserved keywords for a database management system, you can do so by adding a list of semi-colon separated column names, with the new columns provided after a comma for each such column.

...
Add Table? (y/N): y
Table name: species
Table URL: http://esapubs.org/archive/ecol/E091/124/TGPP_specodes.csv
replace_columns (separated by ';', with comma-separated values): jan, january ; feb, february ; mar, march
...

The mapped-plant-quads-ks script for the Adler et al. 2007. dataset from Ecological Archives includes this functionality:

...
 "name": "mapped-plant-quads-ks",
  "resources": [
      {
          "dialect": {},
          "name": "main",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E088/161/allrecords.csv"
      },
      {
          "dialect": {},
          "name": "quadrat_info",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E088/161/quadrat_info.csv"
      },
      {
          "dialect": {
              "missingValues": [
                  "NA"
              ]
          },
          "name": "quadrat_inventory",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E088/161/quadrat_inventory.csv"
      },
      {
          "dialect": {},
          "name": "species",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E088/161/species_list.csv"
      },
      {
          "dialect": {
              "missingValues": [
                  "NA"
              ],
              "replace_columns": [
                  [
                      "jan",
                      "january"
                  ],
                  [
                      "feb",
                      "february"
                  ],
                  [
                      "mar",
                      "march"
                  ],
                  [
                      "apr",
                      "april"
                  ],
                  [
                      "jun",
                      "june"
                  ],
                  [
                      "jul",
                      "july"
                  ],
                  [
                      "aug",
                      "august"
                  ],
                  [
                      "sep",
                      "september"
                  ],
                  [
                      "oct",
                      "october"
                  ],
                  [
                      "nov",
                      "november"
                  ],
                  [
                      "dec",
                      "december"
                  ]
              ]
          },
          "name": "monthly_temp",
          "schema": {},
          "url": "http://esapubs.org/archive/ecol/E088/161/monthly_temp.csv"
      },
  ...

Data Format

Data packages for different data formats can been added to Retriever now. To add data format add keys in the script for Data sources except in the case of csv.

Data formats which can be added are :-

1. JSON Data :- For JSON raw data, add the key word json_data to the resource. To add data formats for a given data package(nuclear-power-plants), add keys to the resource part as described below.

...
 "name": "nuclear-power-plants",
  "resources": [
      {
          "dialect": {
              "delimiter": ","
          },
          "name": "nuclear_power_plants",
          "path": "nuclear_power_plants.csv",
          "json_data": "nuclear_power_plants.json",
          "schema": {
              "fields": [
                  {
                      "name": "id",
                      "type": "int"
                  },
                  {
                      "name": "name",
                      "size": "40",
                      "type": "char"
                  },
  ...

2. XML Data :- For XML raw data, add the key words xml_data and empty_rows to the resource. To add data formats for a given data package(county-emergency-management-offices), add keys to the resource part as described below.

...
"name": "county-emergency-management-offices",
  "resources": [
      {
          "dialect": {
              "delimiter": ","
          },
          "name": "county_emergency_management_offices",
          "path": "County_Emergency_Management_Offices.csv",
          "xml_data": "emergency_offices.xml",
          "empty_rows": 1,
          "schema": {
              "fields": [
                  {
                      "name": "county",
                      "size": "11",
                      "type": "char"
                  },
                  {
                      "name": "emergency_manager",
                      "size": "20",
                      "type": "char"
  ...

3. SQlite Data :- For SQlite raw data, add the key word sqlite_data to the resource. To add data formats for a given data package(portal-project-test), add keys to the resource part as described below.

...
 "name": "portal-project-test",
  "resources": [
      {
          "dialect": {
              "delimiter": ","
          },
          "name": "species",
          "path": "species.csv",
          "sqlite_data": ["species","portal_project.sqlite"],
          "schema": {
              "fields": [
                  {
                      "name": "species_id",
                      "size": "2",
                      "type": "char"
                  },
                  {
                      "name": "genus",
                      "size": "16",
                      "type": "char"
                  },
  ...

4. GeoJSON Data :- For GeoJSON raw data, add the key word geojson_data to the resource. To add data formats for a given data package(lake-county-illinois-cancer-rates), add keys to the resource part as described below.

...
 "name": "lake-county-illinois-cancer-rates",
  "resources": [
      {
          "dialect": {
              "delimiter": ","
          },
          "name": "lakecounty_health",
          "path": "LakeCounty_Health.csv",
          "format": "tabular",
          "geojson_data": "mytest.geojson",
          "schema": {
              "fields": [
                  {
                      "name": "fid",
                      "type": "int"
                  },
                  {
                      "name": "zip",
                      "type": "int"
                  },

  ...

5. HDF5 Data :- For HDF5 raw data, add the key word hdf5_data to the resource. To add data formats for a given data package(sample-hdf), add keys to the resource part as described below.

...
 "name": "sample-hdf",
"title": "Test data raster bio1",
"description": "Test data sampled from bioclim bio1",
"citation": "N/A",
"keywords": [
  "tests"
],
"encoding": "latin-1",
"url": "https://github.com/ashishpriyadarshiCIC/My_data/raw/main/Test_table_image_data.h5",
"ref": "N/A",
"version": "1.0.0",
"retriever_minimum_version": "2.1.dev",
"driver": "GTiff",
"colums": 284,
"rows": 249,
"band_count": 1,
"datum": "N/A - Coordinate Reference System",
"projection": "GEOGCS[\"WGS 84\",DATUM[\"WGS_1984\",SPHEROID[\"WGS 84\",6378137,298.257223563,AUTHORITY[\"EPSG\",\"7030\"]],AUTHORITY[\"EPSG\",\"6326\"]],PRIMEM[\"Greenwich\",0],UNIT[\"degree\",0.0174532925199433],AUTHORITY[\"EPSG\",\"4326\"]]",
"file_size": "N/A",
"group_count": "N/A",
"dataset_count": "N/A",
"transform": {
  "xOrigin": -121.6250000000029,
  "pixelWidth": 0.041666666666667,
  "rotation_2": 0.0,
  "yOrigin": 42.79166666666632,
  "rotation_4": 0.0,
  "pixelHeight": -0.041666666666667
},
"resources": [
  {
    "dialect": {
      "delimiter": ","
    },
    "name": "table_data",
    "path": "table_data.csv",
    "hdf5_data": [
      "Test_table_image_data.h5",
      "csv",
      "G1/table_data"
    ],
    "schema": {
      "fields": [
        {
          "name": "region",
          "size": "33",
          "type": "char"
        },
        {
          "name": "country",
          "size": "32",
          "type": "char"
        },
        {
          "name": "item_type",
          "size": "15",
          "type": "char"
        },
        {
          "name": "sales_channel",
          "size": "7",
          "type": "char"
        },
        {
          "name": "order_id",
          "type": "int"
        },
        {
          "name": "total_profit",
          "type": "double"
        }
      ]
    },
    "url": "https://github.com/ashishpriyadarshiCIC/My_data/raw/main/Test_table_image_data.h5"
  },
  {
    "name": "test_image",
    "format": "raster",
    "hdf5_data": [
      "Test_table_image_data.h5",
      "image",
      "G1/G2/im"
    ],
    "path": "test_raster_bio1.tif",
    "extensions": [
      "tif"
    ],
    "no_data_value": -9999.0,
    "min": null,
    "max": null,
    "scale": 1.0,
    "color_table": null,
    "statistics": {
      "minimum": 0.0,
      "maximum": 0.0,
      "mean": 0.0,
      "stddev": -1.0
    },
  ...

Full control over column names and data types

By default the Retriever automatically detects both column names and data types, but you can also exercise complete control over the structure of the resulting database by adding column names and types.

It is recommended to describe the schema of the table while creating the JSON file. This enables processing of the data faster since column detection increases the processing time.

These values are stored in the fields array of the schema dict of the JSON script.

The fields value enables full control of the columns, which includes, renaming columns, skipping unwanted columns, mentioning primary key and combining columns.

The basic format for fields is as shown below:

...
Enter columns [format = name, type, (optional) size]:

count, int
name, char, 40
year, int
...

where name represents name of the column and type represents the type of data present in the column. The following can be used to describe the data type:

pk-auto: Auto generated primary key starting from 1
pk-[char,int,double]: primary key with data type
char: strings
int: integers
double:floats/decimals
ct-[int,double,char]:Cross tab data
skip: used to skip the column in database

pk-auto is used to create an additional column of type int which acts as a primary key with values starting from 1. While pk-[char,int,double] is used to make a primary key from existing columns of the table having data type of char/int/double.

The Smith et al. Masses of Mammals mammal-masses dataset script includes this type of functionality.

...
   "name": "mammal-masses",
  "resources": [
      {
          "dialect": {
              "missingValues": [
                  -999
              ],
              "header_rows": 0
          },
          "name": "MammalMasses",
          "schema": {
              "fields": [
                  {
                      "name": "record_id",
                      "type": "pk-auto"
                  },
                  {
                      "name": "continent",
                      "size": "20",
                      "type": "char"
                  },
                  {
                      "name": "status",
                      "size": "20",
                      "type": "char"
                  },
                  {
                      "name": "sporder",
                      "size": "20",
                      "type": "char"
                  },
                  {
                      "name": "family",
                      "size": "20",
                      "type": "char"
                  },
                  {
                      "name": "genus",
                      "size": "20",
                      "type": "char"
                  },
                  {
                      "name": "species",
                      "size": "20",
                      "type": "char"
                  },
                  {
                      "name": "log_mass_g",
                      "type": "double"
                  },
                  {
                      "name": "comb_mass_g",
                      "type": "double"
                  },
                  {
                      "name": "reference",
                      "type": "char"
                  }
              ]
          },
          "url": "http://www.esapubs.org/Archive/ecol/E084/094/MOMv3.3.txt"
      }
  ],
  "retriever": "True",
  "retriever_minimum_version": "2.0.dev",
  "title": "Masses of Mammals (Smith et al. 2003)",
...

Restructuring cross-tab data

It is common in ecology to see data where the rows indicate one level of grouping (e.g., by site), the columns indicate another level of grouping (e.g., by species), and the values in each cell indicate the value for the group indicated by the row and column (e.g., the abundance of species x at site y). This is referred as cross-tab data and cannot be easily handled by database management systems, which are based on a one record per line structure. The Retriever can restructure this type of data into the appropriate form. In scripts this involves telling the retriever the name of the column to store the data in and the names of the columns to be restructured.

...
Add crosstab columns? (y,N): y
Crosstab column name: <name of column to store cross-tab data>
Enter names of crosstab column values (Press return after each name):

ct column 1
ct column 2
ct column 3
...

The Moral et al 2010 script. mt-st-helens-veg takes advantage of this functionality.

...
"name": "mt-st-helens-veg",
  "resources": [
      {
          "dialect": {
              "delimiter": ","
          },
          "name": "species_plot_year",
          "schema": {
              "ct_column": "species",
              "ct_names": [
                  "Abilas",
                  "Abipro",
                  "Achmil",
                  "Achocc",
                  "Agoaur",
                  "Agrexa",
                  "Agrpal",
                  "Agrsca",
                  "Alnvir",
                  "Anamar",
                  "Antmic",
                  "Antros",
                  "Aqifor",
                  "Arcnev",
                  "Arnlat",
                  "Astled",
                  "Athdis",
                  "Blespi",
                  "Brocar",
                  "Brosit",
                  "Carmer",
                  "Carmic",
                  "Carpac",
                  "Carpay",
                  "Carpha",
                  "Carros",
                  "Carspe",
                  "Casmin",
                  "Chaang",
                  "Cirarv",
                  "Cisumb",
                  "Crycas",
                  "Danint",
                  "Descae",
                  "Elyely",
                  "Epiana",
                  "Eriova",
                  "Eripyr",
                  "Fesocc",
                  "Fravir",
                  "Gencal",
                  "Hiealb",
                  "Hiegra",
                  "Hyprad",
                  "Junmer",
                  "Junpar",
                  "Juncom",
                  "Leppun",
                  "Lommar",
                  "Luepec",
                  "Luihyp",
                  "Luplat",
                  "Luplep",
                  "Luzpar",
                  "Maiste",
                  "Pencar",
                  "Pencon",
                  "Penser",
                  "Phahas",
                  "Phlalp",
                  "Phldif",
                  "Phyemp",
                  "Pincon",
                  "Poasec",
                  "Poldav",
                  "Polmin",
                  "Pollon",
                  "Poljun",
                  "Popbal",
                  "Potarg",
                  "Psemen",
                  "Raccan",
                  "Rumace",
                  "Salsit",
                  "Saxfer",
                  "Senspp",
                  "Sibpro",
                  "Sorsit",
                  "Spiden",
                  "Trispi",
                  "Tsumer",
                  "Vacmem",
                  "Vervir",
                  "Vioadu",
                  "Xerten"
              ],
              "fields": [
                  {
                      "name": "record_id",
                      "type": "pk-auto"
                  },
                  {
                      "name": "plot_id_year",
                      "size": "20",
                      "type": "char"
                  },
                  {
                      "name": "plot_name",
                      "size": "4",
                      "type": "char"
                  },
                  {
                      "name": "plot_number",
                      "type": "int"
                  },
                  {
                      "name": "year",
                      "type": "int"
                  },
                  {
                      "name": "count",
                      "type": "ct-double"
                  }
              ]
          },
          "url": "http://esapubs.org/archive/ecol/E091/152/MSH_SPECIES_PLOT_YEAR.csv"
      },
...

Script Editing

Note: Any time a script gets updated, the minor version number must be incremented from within the script.

The JSON scripts created using the retriever-recipes CLI can also be edited using the CLI.

To edit a script, use the retriever-recipes edit_json command, followed by the script’s shortname;

For example, editing the mammal-life-hist (Mammal Life History Database - Ernest, et al., 2003) dataset, the editing tool will ask a series a questions for each of the keys and values of the script, and act according to the input.

The tool describes the values you want to edit. In the script below the first keyword is citation, citation ( <class 'str'> ) and it is of class string or expects a string.

dev@retriever:~$ retriever-recipes edit_json mammal-life-hist

  ->citation ( <class 'str'> ) :

  S. K. Morgan Ernest. 2003. Life history characteristics of placental non-volant mammals. Ecology 84:3402

  Select one of the following for the key 'citation'

  1. Modify value
  2. Remove from script
  3. Continue (no changes)


  Your choice: 3

    ->homepage ( <class 'str'> ) :

    http://esapubs.org/archive/ecol/E084/093/


  Select one of the following for the key 'homepage':

  1. Modify value
  2. Remove from script
  3. Continue (no changes)


  Your choice: 3

    ->description ( <class 'str'> ) :

    The purpose of this data set was to compile general life history characteristics for a variety of mammalian
    species to perform comparative life history analyses among different taxa and different body size groups.


  Select one of the following for the key 'description':

  1. Modify value
  2. Remove from script
  3. Continue (no changes)


  Your choice: 3

    ->retriever_minimum_version ( <class 'str'> ) :

    2.0.dev


  Select one of the following for the key 'retriever_minimum_version':

  1. Modify value
  2. Remove from script
  3. Continue (no changes)


  Your choice: 3

    ->version ( <class 'str'> ) :

    1.1.0


  Select one of the following for the key 'version':

  1. Modify value
  2. Remove from script
  3. Continue (no changes)


  Your choice: 3

    ->resources ( <class 'list'> ) :

    {'dialect': {}, 'schema': {}, 'name': 'species', 'url': 'http://esapubs.org/archive/ecol/E084/093/Mammal_lifehistories_v2.txt'}


  1 .  {'dialect': {}, 'schema': {}, 'name': 'species', 'url': 'http://esapubs.org/archive/ecol/E084/093/Mammal_lifehistories_v2.txt'}

  Edit this dict in 'resources'? (y/N): n
  Select one of the following for the key 'resources':

  1. Add an item
  2. Delete an item
  3. Remove from script
  4. Continue (no changes)
  ...

Data Retriever using Python

Data Retriever is written purely in python. The Python interface provides the core functionality supported by the CLI (Command Line Interface).

Installation

The installation instructions for the CLI and module are the same. Links have been provided below for convenience.

• Instructions for installing from binaries project website.

• Instructions for installing from source install from Source.

Note: The python interface requires version 2.1 and above.

Tutorial

Importing retriever

>>> import retriever

In this tutorial, the module will be referred to as rt.

>>> import retriever as rt

List Datasets

Listing available datasets using dataset_names function. The function returns a list of all the currently available scripts.

>>> rt.dataset_names()

['abalone-age',
 'antarctic-breed-bird',
 .
 .
 'wine-composition',
 'wine-quality']

For a more detailed description of the scripts installed in retriever, the datasets function can be used. This function returns a list of Scripts objects. From these objects, we can access the available Script’s attributes as follows.

>>> for dataset in rt.datasets():
      print(dataset.name)

abalone-age
airports
amniote-life-hist
antarctic-breed-bird
aquatic-animal-excretion
.
.

There are a lot of different attributes provided in the Scripts class. Some notably useful ones are:

- name
- citation
- description
- keywords
- title
- urls
- version

You can add more datasets locally by yourself. Adding dataset documentation.

Update Datasets

If there are no scripts available, or you want to update scripts to the latest version, check_for_updates will download the most recent version of all scripts.

>>> rt.check_for_updates()

Downloading scripts...
Download Progress: [####################] 100.00%
The retriever is up-to-date

Downloading recipes for all datasets can take a while depending on the internet connection.

Download Datasets

To directly download datasets without cleaning them use the download function

def download(dataset, path='./', quiet=False, subdir=False, debug=False):

A simple download for the iris dataset can be done using the following.

>>> rt.download("iris")

Output:

=> Downloading iris

Downloading bezdekIris.data...
100%  0 seconds Copying bezdekIris.data

The files will be downloaded into your current working directory by default. You can change the default download location by using the path parameter. Here, we are downloading the NPN dataset to our Desktop directory

>>> rt.download("NPN","/Users/username/Desktop")

Output:

=> Downloading NPN

Downloading 2009-01-01.xml...
11  MBB
Downloading 2009-04-02.xml...
42  MBB
.
.

path (String): Specify dataset download path.

quiet  (Bool): Setting True minimizes the console output.

subdir (Bool): Setting True keeps the subdirectories for archived files.

debug  (Bool): Setting True helps in debugging in case of errors.

Install Datasets

Retriever supports installation of datasets into 7 major databases and file formats.

- csv
- json
- msaccess
- mysql
- postgres
- sqlite
- xml

There are separate functions for installing into each of the 7 backends:

def install_csv(dataset, table_name=None, compile=False, debug=False,
            quiet=False, use_cache=True):

def install_json(dataset, table_name=None, compile=False,
             debug=False, quiet=False, use_cache=True, pretty=False):

def install_msaccess(dataset, file=None, table_name=None,
                 compile=False, debug=False, quiet=False, use_cache=True):

def install_mysql(dataset, user='root', password='', host='localhost',
              port=3306, database_name=None, table_name=None,
              compile=False, debug=False, quiet=False, use_cache=True):

def install_postgres(dataset, user='postgres', password='',
                 host='localhost', port=5432, database='postgres',
                 database_name=None, table_name=None,
                 compile=False, debug=False, quiet=False, use_cache=True):

def install_sqlite(dataset, file=None, table_name=None,
               compile=False, debug=False, quiet=False, use_cache=True):

def install_xml(dataset, table_name=None, compile=False, debug=False,
            quiet=False, use_cache=True):

A description of default parameters mentioned above:

compile         (Bool): Setting True recompiles scripts upon installation.

database_name (String): Specify database name. For postgres, mysql users.

debug           (Bool): Setting True helps in debugging in case of errors.

file          (String): Enter file_name for database. For msaccess, sqlite users.

host          (String): Specify host name for database. For postgres, mysql users.

password      (String): Specify password for database. For postgres, mysql users.

port             (Int): Specify the port number for installation. For postgres, mysql users.

pretty          (Bool): Setting True adds indentation in JSON files.

quiet           (Bool): Setting True minimizes the console output.

table_name    (String): Specify the table name to install.

use_cache       (Bool): Setting False reinstalls scripts even if they are already installed.

user          (String): Specify the username. For postgres, mysql users.

Examples to Installing Datasets:

Here, we are installing the dataset wine-composition as a CSV file in our current working directory.

rt.install_csv("wine-composition")

=> Installing wine-composition

Downloading wine.data...
100%  0 seconds Progress: 178/178 rows inserted into ./wine_composition_WineComposition.csv totaling 178

The installed file is called wine_composition_WineComposition.csv

Similarly, we can download any available dataset as a JSON file:

rt.install_json("wine-composition")

=> Installing wine-composition

Progress: 178/178 rows inserted into ./wine_composition_WineComposition.json totaling 17

The wine-composition dataset is now installed as a JSON file called wine_composition_WineComposition.json in our current working directory.

Retriever Provenance

Retriever allows committing of datasets and installation of the committed dataset into the database of your choice at a later date. This ensures that the previous outputs/results can be produced easily.

Provenance Directory

The directory to save your committed dataset can be defined by setting the environment variable PROVENANCE_DIR. However, you can still save the committed dataset in a directory of your choice by defining the path while committing the dataset.

Commit Datasets

Retriever supports committing of a dataset into a compressed archive.

def commit(dataset, commit_message='', path=None, quiet=False):

A description of the default parameters mentioned above:

dataset               (String): Name of the dataset.

commit_message        (String): Specify commit message for a commit.

path                  (String): Specify the directory path to store the compressed archive file.

quiet                   (Bool): Setting True minimizes the console output.

Example to commit dataset:

retriever commit abalone-age -m "Example commit" --path .
Committing dataset abalone-age
Successfully committed.

>>> from retriever import commit
>>> commit('abalone-age', commit_message='Example commit', path='/home/')

If the path is not provided the committed dataset is saved in the provenance directory.

Log Of Committed Datasets

You can view the log of commits of the datasets stored in the provenance directory.

def commit_log(dataset):

A description of the parameter mentioned above:

dataset       (String): Name of the dataset.

Example:

retriever log abalone-age

Commit message: Example commit
Hash: 02ee77
Date: 08/16/2019, 16:12:28

>>> from retriever import commit_log
>>> commit_log('abalone-age')

Installing Committed Dataset

You can install committed datasets by using the hash-value or by providing the path of the compressed archive. Installation using hash-value is supported only for datasets stored in the provenance directory.

For installing dataset from a committed archive you can provide the path to the archive in place of dataset name:

retriever install sqlite abalone-age-02ee77.zip

>>> from retriever import install_sqlite
>>> install_sqlite('abalone-age-02ee77.zip')

Also, you can install using the hash-value of the datasets stored in provenance directory. You can always look up the hash-value of your previous commits using the command retriever log dataset_name.

For installing dataset from provenance directory provide the hash-value of the commit.

retriever install sqlite abalone-age --hash-value 02ee77

>>> from retriever import install_sqlite
>>> install_sqlite('abalone-age', hash_value='02ee77')

Datasets Available

1. Ecoregions of the Conterminous United States

name

ecoregions-us

reference

ecoregions-us’s home link.

citation

[‘U.S. Environmental Protection Agency. 2011. Level III ecoregions of the conterminous United States. U.S. EPA, National Health and Environmental Effects Research Laboratory, Corvallis, Oregon, Map scale 1:3,000,000’, ‘U.S. Environmental Protection Agency. 2011. Level III and IV ecoregions of the conterminous United States. U.S. EPA, National Health and Environmental Effects Research Laboratory, Corvallis, Oregon.’]

description

Ecoregions of the Conterminous United States

2. Nematode traits and environmental constraints in 200 soil systems

name

nematode-traits

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3552057

citation

Christian Mulder and J. Arie Vonk. 2011. Nematode traits and environmental constraints in 200 soil systems:scaling within the 60–6000 µm body size range. Ecology 92:2004.

description

This data set includes information on taxonomy, life stage, sex, feeding habit, trophic level, geographic location, sampling period, ecosystem type, soil type, and soil chemistry

3. Mammal abundance indices in the northern portion of the Great Basin

name

great-basin-mammal-abundance

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3525485

citation

Rebecca A. Bartel, Frederick F. Knowlton, and Charles Stoddart. 2005. Mammal abundance indices in the northern portion of the Great Basin, 1962-1993. Ecology 86:3130.

description

Indices of abundance of selected mammals obtained for two study areas within the Great Basin.

4. Mapeamento de iniciativas (e catálogos) de dados abertos governamentais no Brasil.

name

catalogos-dados-brasil

reference

https://github.com/dadosgovbr/catalogos-dados-brasil

citation

Augusto Herrmann, Catálogos de dados abertos no Brasil, (2015), https://github.com/dadosgovbr/catalogos-dados-brasil

description

Um catálogo de dados é uma coleção curada de metadados a respeito de conjuntos de dados

5. Biomass and Its Allocation in Chinese Forest Ecosystems (Luo, et al., 2014)

name

forest-biomass-china

reference

forest-biomass-china’s home link.

citation

Yunjian Luo, Xiaoquan Zhang, Xiaoke Wang, and Fei Lu. 2014. Biomass and its allocation in Chinese forest ecosystems. Ecology 95:2026.

description

Forest biomass data set of China which includes tree overstory components (stems, branches, leaves, and roots, among all other plant material), the understory vegetation (saplings, shrubs, herbs, and mosses), woody liana vegetation, and the necromass components of dead organic matter (litterfall, suspended branches, and dead trees).

6. Poker Hand dataset

name

poker-hands

reference

http://archive.ics.uci.edu/ml/datasets/Poker+Hand

citation

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

description

A dataset used to predict poker hands

7. Phylogeny and metabolic rates in mammals (Ecological Archives 2010)

name

mammal-metabolic-rate

reference

https://figshare.com/collections/Phylogeny_and_metabolic_scaling_in_mammals/3303477

citation

Isabella Capellini, Chris Venditti, and Robert A. Barton. 2010. Phylogeny and metabolic rates in mammals. Ecology 20:2783-2793.

description

Data on basal metabolic rate (BMR) with experimental animal body mass, field metabolic rate (FMR) with wild animal body mass, and sources of the data. Ecological Archives E091-198-S1.

8. Database of Vertebrate Home Range Sizes - Tamburello et al., 2015

name

home-ranges

reference

http://datadryad.org/resource/doi:10.5061/dryad.q5j65/1

citation

Tamburello N, Cote IM, Dulvy NK (2015) Energy and the scaling of animal space use. The American Naturalist 186(2):196-211. http://dx.doi.org/10.1086/682070.

description

Database of mean species masses and corresponding empirically measured home range sizes for 569 vertebrate species from across the globe, including birds, mammals, reptiles, and fishes.

9. The effects of biodiversity on ecosystem community, and population variables reported 1974-2004

name

biodiversity-response

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3530822

citation

Bernhard Schmid, Andrea B. Pfisterer, and Patricia Balvanera. 2009. Effects of biodiversity on ecosystem community, and population variables reported 1974-2004. Ecology 90:853

description

10. USDA plant list - taxonomy for US plant species

name

plant-taxonomy-us

reference

http://plants.usda.gov

citation

USDA, NRCS. 2017. The PLANTS Database (http://plants.usda.gov, DATEOFDOWNLOAD). National Plant Data Team, Greensboro, NC 27401-4901 USA.

description

Plant taxonomy data for the United States from the USDA plants website

11. Foraging attributes for birds and mammals (Wilman, et al., 2014)

name

elton-traits

reference

elton-traits’s home link.

citation

Hamish Wilman, Jonathan Belmaker, Jennifer Simpson, Carolina de la Rosa, Marcelo M. Rivadeneira, and Walter Jetz. 2014. EltonTraits 1.0: Species-level foraging attributes of the world’s birds and mammals. Ecology 95:2027.

description

Characterization of species by physiological, behavioral, and ecological attributes that are subjected to varying evolutionary and ecological constraints and jointly determine their role and function in ecosystems.

12. Effects of biodiversity on the functioning of ecosystems:A summary of 164 experimental manipulations of species richness

name

species-exctinction-rates

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3530825

citation

Bradley J. Cardinale, Diane S. Srivastava, J. Emmett Duffy, Justin P. Wright, Amy L. Downing, Mahesh Sankaran, Claire Jouseau, Marc W. Cadotte, Ian T. Carroll, Jerome J. Weis, Andy Hector, and Michel Loreau. 2009. Effects of biodiversity on the functioning of ecosystems:A summary of 164 experimental manipulations of species richness. Ecology 90:854.

description

A summary of the results on the accelerating rates of species extinction

13. Abalone Age and Size Data

name

abalone-age

reference

http://archive.ics.uci.edu/ml/datasets/Abalone

citation

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

description

Database to aid in the prediction of the age of an Abalone given physical measurements

14. A database on visible diurnal spring migration of birds

name

bird-migration-data

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3551952

citation

Georg F. J. Armbruster, Manuel Schweizer, and Deborah R. Vogt. 2011. A database on visible diurnal spring migration of birds (Central Europe:Lake Constance). Ecology 92:1865.

description

Birds migration data

15. Barnacle, fucoid, and mussel recruitment in the Gulf of Maine, USA, from 1997 to 2007

name

marine-recruitment-data

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3530633

citation

Peter S. Petraitis, Harrison Liu, and Erika C. Rhile. 2009. Barnacle, fucoid, and mussel recruitment in the Gulf of Maine, USA, from 1997 to 2007. Ecology 90:571.

description

This data set provides access to recruitment data collected in the experimental plots from 1997 to 2007

16. Car Evaluation

name

car-eval

reference

http://archive.ics.uci.edu/ml/datasets/Car+Evaluation

citation

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

description

A database useful for testing constructive induction and structure discovery methods.

17. Wisconsin Breast Cancer Database

name

breast-cancer-wi

reference

http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29

citation

Lichman, M. (2013). UCI Machine Learning Repository [http://archive.ics.uci.edu/ml]. Irvine, CA: University of California, School of Information and Computer Science.

description

Database containing information on Wisconsin Breast Cancer Diagnostics

18. Demography of the endemic mint Dicerandra frutescens in Florida scrub

name

dicerandra-frutescens

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3529460

citation

Eric S. Menges. 2008. Demography of the endemic mint Dicerandra frutescens in Florida scrub. Ecology 89:1474.

description

Study of the demography of Dicerandra frutescens, an endemic and endangered mint restricted to Florida scrub

19. Sonoran Desert Lab perennials vegetation plots

name

veg-plots-sdl

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3555756

citation

Susana Rodriguez-Buritica, Helen Raichle, Robert H. Webb, Raymond M. Turner, and D. Lawrence Venable. 2013. One hundred and six years of population and community dynamics of Sonoran Desert Laboratory perennials. Ecology 94:976.

description

The data set constitutes all information associated with the Spalding-Shreve permanent vegetation plots from 1906 through 2012, which is the longest-running plant monitoring program in the world.

20. Transparency and Open Data Portals of Brazilian states and municipalities

name

transparencia-dados-abertos-brasil

reference

https://github.com/augusto-herrmann/transparencia-dados-abertos-brasil

citation

Augusto Herrmann, Transparency and Open Data Portals of Brazilian states and municipalities, (2017), GitHub repository, https://github.com/augusto-herrmann/transparencia-dados-abertos-brasil

description

Tabelas com o levantamento de portais estaduais e municipais de transparência e dados abertos, feito originalmente por Rodrigo Klein em sua tese de doutorado na PUC/RS, em 2017

21. The distribution and host range of the pandemic disease chytridiomycosis in Australia, spanning surveys from 1956-2007.

name

chytr-disease-distr

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3547077

citation

Kris Murray, Richard Retallick, Keith R. McDonald, Diana Mendez, Ken Aplin, Peter Kirkpatrick, Lee Berger, David Hunter, Harry B. Hines, R. Campbell, Matthew Pauza, Michael Driessen, Richard Speare, Stephen J. Richards, Michael Mahony, Alastair Freeman, Andrea D. Phillott, Jean-Marc Hero, Kerry Kriger, Don Driscoll, Adam Felton, Robert Puschendorf, and Lee F. Skerratt. 2010. The distribution and host range of the pandemic disease chytridiomycosis in Australia, spanning surveys from 1956-2007. Ecology 91:1557.

description

The data is of a distribution and host range of this invasive disease in Australia

22. National_Lakes_Assessment_Data

name

nla

reference

nla’s home link.

citation

NA

description

The National Aquatic Resource Surveys (NARS) are statistical surveys designed to assess the status of and changes in quality of the coastal waters of the nation, lakes and reservoirs, rivers and streams, and wetlands. Using sample sites selected at random, these surveys provide a snapshot of the overall condition of water belonging to the nation. Because the surveys use standardized field and lab methods, we can compare results from different parts of the country and between years. EPA works with state, tribal and federal partners to design and implement the National Aquatic Resource Surveys.

23. Mammal Community DataBase (Thibault et al. 2011)

name

mammal-community-db

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3552243

citation

Katherine M. Thibault, Sarah R. Supp, Mikaelle Giffin, Ethan P. White, and S. K. Morgan Ernest. 2011. Species composition and abundance of mammalian communities. Ecology 92:2316.

description

This data set includes species lists for 1000 mammal communities, excluding bats, with species-level abundances available for 940 of these communities.

24. GDP Data

name

gdp

reference

https://github.com/datasets/gdp/blob/master

citation

NA

description

Country, regional and world GDP in current US Dollars ($). Regional means collections of countries e.g. Europe & Central Asia. Data is sourced from the World Bank and turned into a standard normalized CSV.

25. Bird Body Size and Life History (Lislevand et al. 2007)

name

bird-size

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3527864

citation

Terje Lislevand, Jordi Figuerola, and Tamas Szekely. 2007. Avian body sizes in relation to fecundity, mating system, display behavior, and resource sharing. Ecology 88:1605.

description

A comprehensive compilation of data set on avian body sizes that would be useful for future comparative studies of avian biology.

26. Fire-related traits for plant species of the Mediterranean Basin. Ecology 90:1420

name

mediter-basin-plant-traits

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3531092

citation

19. Paula, M. Arianoutsou, D. Kazanis, Ç. Tavsanoglu, F. Lloret, C. Buhk, F. Ojeda, B. Luna, J. M. Moreno, A. Rodrigo, J. M. Espelta, S. Palacio, B. Fernández-Santos,, P. M. Fernandes, and J. G. Pausas. 2009. Fire-related traits for plant species of the Mediterranean Basin. Ecology 90:1420.

description

This data set compiles the most updated and comprehensive information on fire-related traits for vascular plant species of the Mediterranean Basin

27. species data on densities and percent cover in the 60 experimental plots from 1996 to 2002

name

macroalgal-communities

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3526004

citation

Peter S. Petraitis and Nicholas Vidargas. 2006. Marine intertidal organisms found in experimental clearings on sheltered shores in the Gulf of Maine, USA. Ecology 87:796.

description

Experimental clearings in macroalgal stands were established in 1996 to determine if mussel beds and macroalgal stands on protected intertidal shores of New England represent alternative community states

28. Partners_In_Flight_Species_Assessment_Data

name

partners-in-flight

reference

http://rmbo.org/pifassessment/Database.aspx

citation

Partners in Flight. 2017. Avian Conservation Assessment Database, version 2017. Available at http://pif.birdconservancy.org/ACAD. Accessed on 19.2.2018

description

The Partners in Flight (PIF) Species Assessment Database is now the Avian Conservation Assessment Database, Whereas the Species Assessment Database contained information only on landbirds in Canada, USA and Mexico, the Avian Conservation Assessment Database contains assessment data for all North American birds from Canada to Panama.

29. Cancer Rates Lake County

name

lake-county-illinois-cancer-rates

reference

https://catalog.data.gov/dataset/cancer-rates

citation

description

geospatial data of cancer rates in Lake County, Illinois

30. A stream gage database for evaluating natural and altered flow conditions in the conterminous United States.

name

streamflow-conditions

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3544358

citation

James A. Falcone, Daren M. Carlisle, David M. Wolock, and Michael R. Meador. 2010. GAGES:A stream gage database for evaluating natural and altered flow conditions in the conterminous United States. Ecology 91:621.

description

streamflow in ecosystems

31. Michigan forest canopy dynamics plots - Woods et al. 2009

name

forest-plots-michigan

reference

forest-plots-michigan’s home link.

citation

Kerry D. Woods. 2009. Multi-decade, spatially explicit population studies of canopy dynamics in Michigan old-growth forests. Ecology 90:3587.

description

The data set provides stem infomation from a regular grid of 256 permanent plots includes about 20% of a 100-ha old-growth forest at the Dukes Research Natural Area in northern Michigan, USA.

32. Global Biotic Interactions (GloBI) data

name

globi-interaction

reference

https://github.com/jhpoelen/eol-globi-data/wiki

citation

Poelen, J.H., Simons, J.D. and Mungall, C.J., 2014. Global biotic interactions: an open infrastructure to share and analyze species-interaction datasets. Ecological Informatics, 24, pp.148-159.

description

GloBI contains code to normalize and integrate existing species-interaction datasets and export the resulting integrated interaction dataset.

33. Portal Project Data (Ernest et al. 2016)

name

portal-dev

reference

https://github.com/weecology/PortalData

citation

19. 11. 13. Ernest, G. M. Yenni, G. Allington, E. M. Christensen, K. Geluso, J. R. Goheen, M. R. Schutzenhofer, S. R. Supp, K. M. Thibault, James H. Brown, and T. J. Valone. 2016. Long-term monitoring and experimental manipulation of a Chihuahuan desert ecosystem near Portal, Arizona (1977-2013). Ecology 97:1082.

description

The data set represents a Desert ecosystems using the composition and abundances of ants, plants, and rodents has occurred continuously on 24 plots.

34. Long term limnological measures in Acton Lake, database, 1992-2017

name

acton-lake

reference

acton-lake’s home link.

citation

Michael J Vanni, Maria J Gonzalez, and William H Renwick. 2019. Long term limnological measures in Acton Lake, a southwest Ohio reservoir, and its inflow streams: 1992-2017. Environmental Data Initiative.

description

Long-term data collected from Acton Lake and its inflow streams, on a suite of physical, chemical and biological variables investigating how Acton Lake, responds to changes in ecosystem subsidies of detritus (sediments) and nutrients.

35. The data was used to investigate patterns and causes of variation in NPP by the giant kelp, Macrocystis pyrifera, which is believed to be one of the fastest growing autotrophs on earth.

name

macrocystis-variation

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3529700

citation

Andrew Rassweiler, Katie K. Arkema, Daniel C. Reed, Richard C. Zimmerman, and Mark A. Brzezinski. 2008. Net primary production, growth, and standing crop of Macrocystis pyrifera in southern California. Ecology 89:2068.

description

36. Wine Quality

name

wine-quality

reference

wine-quality’s home link.

citation

16. Cortez, A. Cerdeira, F. Almeida, T. Matos and J. Reis.

description

Two datasets are included, related to red and white vinho verde wine samples, from the north of Portugal. The goal is to model wine quality based on physicochemical tests

37. Sagebrush steppe mapped plant quadrats (Zachmann et al. 2010)

name

mapped-plant-quads-id

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3550215

citation

Luke Zachmann, Corey Moffet, and Peter Adler. 2010. Mapped quadrats in sagebrush steppe:long-term data for analyzing demographic rates and plant-plant interactions. Ecology 91:3427.

description

This data set consists of 26 permanent 1-m2 quadrats located on sagebrush steppe in eastern Idaho, USA.

38. Shortgrass steppe mapped plants quads - Chu et al. 2013

name

mapped-plant-quads-co

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3556779

citation

Cover, density, and demographics of shortgrass steppe plants mapped 1997-2010 in permanent grazed and ungrazed quadrats. Chengjin Chu, John Norman, Robert Flynn, Nicole Kaplan, William K. Lauenroth, and Peter B. Adler. Ecology 2013 94:6, 1435-1435.

description

This data set maps and analyzes demographic rates of many common plant species in the shortgrass steppe of North America under grazed and ungrazed conditions.

39. The LakeCat Dataset

name

lakecats-final-tables

reference

https://www.epa.gov/national-aquatic-resource-surveys/lakecat

citation

Hill, Ryan A., Marc H. Weber, Rick Debbout, Scott G. Leibowitz, Anthony R. Olsen. 2018. The Lake-Catchment (LakeCat) Dataset: characterizing landscape features for lake basins within the conterminous USA. Freshwater Science doi:10.1086/697966.

description

This current lakecat dataset has 136 local catchment (Cat) and 136 watershed (Ws) metrics making a total of 272 metrics.

40. Mammal Life History Database - Ernest, et al., 2003

name

mammal-life-hist

reference

mammal-life-hist’s home link.

citation

19. 11. Morgan Ernest. 2003. Life history characteristics of placental non-volant mammals. Ecology 84:3402.

description

The purpose of this data set was to compile general life history characteristics for a variety of mammalian species to perform comparative life history analyses among different taxa and different body size groups.

41. Portal Project Data (Ernest et al. 2009)

name

portal

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3531317

citation

19. 11. Morgan Ernest, Thomas J. Valone, and James H. Brown. 2009. Long-term monitoring and experimental manipulation of a Chihuahuan Desert ecosystem near Portal, Arizona, USA. Ecology 90:1708.

description

The data set represents a Desert ecosystems using the composition and abundances of ants, plants, and rodents has occurred continuously on 24 plots. Currently includes only mammal data.

42. Long-term population dynamics of individually mapped Sonoran Desert winter annuals from the Desert Laboratory, Tucson AZ

name

sonoran-desert

reference

http://www.eebweb.arizona.edu/faculty/venable/LTREB/LTREB%20data.htm

citation

description

Long-term population dynamics of individually mapped Sonoran Desert winter annuals from the Desert Laboratory, Tucson AZ

43. Percentage leaf herbivory across vascular plant species

name

leaf-herbivory

reference

leaf-herbivory’s home link.

citation

Martin M. Turcotte, Christina J. M. Thomsen, Geoffrey T. Broadhead, Paul V. A. Fine, Ryan M. Godfrey, Greg P. A. Lamarre, Sebastian T. Meyer, Lora A. Richards, and Marc T. J. Johnson. 2014. Percentage leaf herbivory across vascular plant species. Ecology 95:788. http://dx.doi.org/10.1890/13-1741.1.

description

Spatially explicit measurements of population level leaf herbivory on 1145 species of vascular plants from 189 studies from across the globe.

44. Vascular plant composition - McGlinn, et al., 2010

name

plant-comp-ok

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3547209

citation

Daniel J. McGlinn, Peter G. Earls, and Michael W. Palmer. 2010. A 12-year study on the scaling of vascular plant composition in an Oklahoma tallgrass prairie. Ecology 91:1872.

description

The data is part of a monitoring project on vascular plant composition at the Tallgrass Prairie Preserve in Osage County, Oklahoma, USA.

45. Wine Composition

name

wine-composition

reference

Exploration, Classification and Correlation. Institute of Pharmaceutical

citation

Forina, M. et al, PARVUS - An Extendible Package for Data

description

A chemical analysis of wines grown in the same region in Italy but derived from three different cultivators.

46. Miscellaneous Abundance Database (figshare 2012)

name

community-abundance-misc

reference

Not available

citation

Baldridge, Elita, A Data-intensive Assessment of the Species Abundance Distribution(2013). All Graduate Theses and Dissertations. Paper 4276.

description

Community abundance data for fish, reptiles, amphibians, beetles, spiders, and birds, compiled from the literature by Elita Baldridge.

47. BioTIME species identities and abundances

name

biotime

reference

https://zenodo.org/record/1095628#.WskN7dPwYyn

citation

Dornelas M, Antão LH, Moyes F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology & Biogeography. 2018; 00:1 - 26. https://doi.org/10.1111/geb.12729.

description

The BioTIME database has species identities and abundances in ecological assemblages through time.

48. Dataset containing information on all airports on ouraiports.com

name

airports

reference

http://ourairports.com/data/

citation

OurAirports.com, Megginson Technologies Ltd.

description

Dataset containing information on all airports on ourairports.com

49. Antarctic Site Inventory breeding bird survey data, 1994-2013

name

antarctic-breed-bird

reference

antarctic-breed-bird’s home link.

citation

Heather J. Lynch, Ron Naveen, and Paula Casanovas. 2013. Antarctic Site Inventory breeding bird survey data, 1994-2013. Ecology 94:2653.

description

The data set represents the accumulation of 19 years of seabird population abundance data which was collected by the Antarctic Site Inventory, an opportunistic vessel-based monitoring program surveying the Antarctic Peninsula and associated sub-Antarctic Islands.

50. Croche understory vegetation data set

name

croche-vegetation-data

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3528707

citation

Alain Paquette, Etienne Laliberté, André Bouchard, Sylvie de Blois, Pierre Legendre, and Jacques Brisson. 2007. Lac Croche understory vegetation data set (1998-2006). Ecology 88:3209.

description

The Lac Croche data set covers a nine-year period (1998-2006) of detailed understory vegetation sampling of a temperate North American forest located in the Station de Biologie des Laurentides (SBL), Québec, Canada.

51. Breed-Bird-Survey-nlcd Data

name

breed-bird-survey-nlcd

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3554424

citation

Michael F. Small, Joseph A. Veech, and Jennifer L. R. Jensen. 2012. Local landscape composition and configuration around North American Breeding Bird Survey routes. Ecology 93:2298.

description

Landcover data for all North American Breeding Bird Survey routes from the 2006 National Land Cover Database at buffers from 200 m to 10 km..

52. Iris Plants Database

name

iris

reference

https://archive.ics.uci.edu/ml/datasets/iris

citation

18. 1. Fisher. 1936. The Use of Multiple Measurements in Taxonomic Problems. and Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science.

description

Famous dataset from R. A. Fisher. This dataset has been corrected. Information Source: Asuncion, A. & Newman, D.J. (2007). UCI Machine Learning Repository [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, School of Information and Computer Science.

53. Mount St. Helens vegetation recovery plots (del Moral 2010)

name

mt-st-helens-veg

reference

mt-st-helens-veg’s home link.

citation

Roger del Moral. 2010. Thirty years of permanent vegetation plots, Mount St. Helens, Washington. Ecology 91:2185.

description

Documenting vegetation recovery from volcanic disturbances using the most common species found in non-forested habitats on Mount St. Helens.

54. Nesting ecology and offspring recruitment in a long-lived turtle

name

turtle-offspring-nesting

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3531323

citation

Lisa E. Schwanz, Rachel M. Bowden, Ricky-John Spencer, and Fredric J. Janzen. 2009. Nesting ecology and offspring recruitment in a long-lived turtle. Ecology 90:1709. [https://doi.org/10.6084/m9.figshare.3531323.v1]

description

Valuable empirical resource for exploring important facets of nesting ecology and hatchling recruitment in a wild population of a long-lived species.

55. ND-Gain

name

nd-gain

reference

http://index.gain.org/

citation

Chen, C., Noble, I., Hellmann, J., Coffee, J., Murillo, M. and Chawla, N., 2015. University of Notre Dame Global Adaptation Index Country Index Technical Report. ND-GAIN: South Bend, IN, USA.

description

The ND-GAIN Country Index summarizes a country’s vulnerability to climate change and other global challenges in combination with its readiness to improve resilience. It aims to help governments, businesses and communities better prioritize investments for a more efficient response to the immediate global challenges ahead.

56. Masses of Mammals (Smith et al. 2003)

name

mammal-masses

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3523112

citation

Felisa A. Smith, S. Kathleen Lyons, S. K. Morgan Ernest, Kate E. Jones, Dawn M. Kaufman, Tamar Dayan, Pablo A. Marquet, James H. Brown, and John P. Haskell. 2003. Body mass of late Quaternary mammals. Ecology 84:3403.

description

A data set of compiled body mass information for all mammals on Earth.

57. MammalDIET

name

mammal-diet

reference

Not available

citation

Kissling WD, Dalby L, Flojgaard C, Lenoir J, Sandel B, Sandom C, Trojelsgaard K, Svenning J-C (2014) Establishing macroecological trait datasets:digitalization, extrapolation, and validation of diet preferences in terrestrial mammals worldwide. Ecology and Evolution, online in advance of print. doi:10.1002/ece3.1136

description

MammalDIET provides a comprehensive, unique and freely available dataset on diet preferences for all terrestrial mammals worldwide.

58. Prairie-forest ecotone of eastern Kansas/Foster Lab

name

prairie-forest

reference

https://foster.ku.edu/ltreb-datasets

citation

PI: Bryan L. Foster, University of Kansas, bfoster@ku.edu

description

Long-term studies of secondary succession and community assembly in the prairie-forest ecotone of eastern Kansas (NSF LTREB # 0950100)

59. Mapped plant quadrat time-series from Kansas (Adler et al. 2007)

name

mapped-plant-quads-ks

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3528368

citation

Peter B. Adler, William R. Tyburczy, and William K. Lauenroth. 2007. Long-term mapped quadrats from Kansas prairie:demographic information for herbaceaous plants. Ecology 88:2673.

description

Demographic data for testing current theories in plant ecology and forecasting the effects of global change.

60. New York City TreesCount

name

nyc-tree-count

reference

https://www.nycgovparks.org/trees/treescount

citation

TreeCount 2015 is citizen science project of NYC Parks’[https://www.nycgovparks.org/trees/treescount].

description

Dataset consist of every street tree of New York City on the block

61. 3-D maps of tree canopy geometries at leaf scale

name

tree-canopy-geometries

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3530507

citation

Hervé Sinoquet, Sylvain Pincebourde, Boris Adam, Nicolas Donès, Jessada Phattaralerphong, Didier Combes, Stéphane Ploquin, Krissada Sangsing, Poonpipope Kasemsap, Sornprach Thanisawanyangkura, Géraldine Groussier-Bout, and Jérôme Casas. 2009. 3-D maps of tree canopy geometries at leaf scale. Ecology 90:283

description

This data set reports the three-dimensional geometry of a set of fruit and rubber trees at the leaf scale

62. Spatial Population Data Alpine Butterfly - Matter et al 2014

name

butterfly-population-network

reference

butterfly-population-network’s home link.

citation

Matter, Stephen F., Nusha Keyghobadhi, and Jens Roland. 2014. Ten years of abundance data within a spatial population network of the alpine butterfly, Parnassius smintheus. Ecology 95:2985. Ecological Archives E095-258.

description

Stephen F. Matter, Nusha Keyghobadhi, and Jens Roland. 2014. Ten years of abundance data within a spatial population network of the alpine butterfly, Parnassius smintheus. Ecology 95:2985.

63. Fish parasite host ecological characteristics (Strona, et al., 2013)

name

fish-parasite-hosts

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3555378

citation

Giovanni Strona, Maria Lourdes D. Palomares, Nicolas Bailly, Paolo Galli, and Kevin D. Lafferty. 2013. Host range, host ecology, and distribution of more than 11800 fish parasite species. Ecology 94:544.

description

The data set includes 38008 fish parasite records (for Acanthocephala, Cestoda, Monogenea, Nematoda, Trematoda) compiled from scientific literature.

64. Fray Jorge community ecology database (Kelt et al. 2013)

name

fray-jorge-ecology

reference

fray-jorge-ecology’s home link.

citation

4. 1. Kelt, P. L. Meserve, J. R. Gutierrez, W. Bryan Milstead, and M. A. Previtali. 2013. Long-term monitoring of mammals in the face of biotic and abiotic influences at a semiarid site in north-central Chile. Ecology 94:977. http://dx.doi.org/10.1890/12-1811.1.

description

Long-term monitoring of small mammal and plant communities in the face of biotic and abiotic influences at a semiarid site in north-central Chile.

65. First-flowering dates of plants in the Northern Great Plains

name

ngreatplains-flowering-dates

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3531716

citation

Steven E. Travers and Kelsey L. Dunnell. 2009. First-flowering dates of plants in the Northern Great Plains. Ecology 90:2332.

description

Observations data of first-flowering time of native and nonnative plant species in North Dakota and Minnesota over the course of 51 years in the last century

66. Mapped plant quadrat time-series from Montana (Anderson et al. 2011)

name

mapped-plant-quads-mt

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3551799

citation

Jed Anderson, Lance Vermeire, and Peter B. Adler. 2011. Fourteen years of mapped, permanent quadrats in a northern mixed prairie, USA. Ecology 92:1703.

description

Long term plant quadrats of northern mixed prairie in Montana.

67. The ph_ownership_history dataset

name

harvard-forest

reference

http://harvardforest.fas.harvard.edu/

citation

Hall B. 2017. Historical GIS Data for Harvard Forest Properties from 1908 to Present. Harvard Forest Data Archive: HF110.

description

ph_ownership_history

68. BUPA liver disorders

name

bupa-liver-disorders

reference

https://archive.ics.uci.edu/ml/datasets/Liver+Disorders

citation

Richard S. Forsyth, 8 Grosvenor Avenue, Mapperley Park , Nottingham NG3 5DX, 0602-621676

description

The first 5 variables are all blood tests which are thought to be sensitive to liver disorders that might arise from excessive alcohol consumption. Each line in the dataset constitutes the record of a single male individual. The 7th field (selector) has been widely misinterpreted in the past as a dependent variable representing presence or absence of a liver disorder. This is incorrect. The 7th field was created by BUPA researchers as a train/test selector. It is not suitable as a dependent variable for classification. The dataset does not contain any variable representing presence or absence of a liver disorder.

69. Forest fire data for Montesinho natural park in Portugal

name

forest-fires-portugal

reference

http://archive.ics.uci.edu/ml/datasets/Forest+Fires

citation

16. Cortez and A. Morais. A Data Mining Approach to Predict Forest Fires using Meteorological Data. In J. Neves, M. F. Santos and J. Machado Eds., New Trends in Artificial Intelligence, Proceedings of the 13th EPIA 2007 - Portuguese Conference on Artificial Intelligence, December, Guimaraes, Portugal, pp. 512-523, 2007. APPIA, ISBN-13 978-989-95618-0-9.

description

A database for regression analysis with the aim of predicting burned areas of forestry using meteorological and other data.

70. Biovolumes for freshwater phytoplankton - Colin et al. 2014

name

phytoplankton-size

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3560628

citation

Colin T. Kremer, Jacob P. Gillette, Lars G. Rudstam, Pal Brettum, and Robert Ptacnik. 2014. A compendium of cell and natural unit biovolumes for >1200 freshwater phytoplankton species. Ecology 95:2984.

description

Sampling phytoplankton communities basing on cell size.

71. Bioclim 2.5 Minute Climate Data

name

bioclim

reference

http://worldclim.org/bioclim

citation

Hijmans, R.J., S.E. Cameron, J.L. Parra, P.G. Jones and A. Jarvis, 2005. Very high resolution interpolated climate surfaces for global land areas. International Journal of Climatology 25: 1965-1978.

description

Bioclimatic variables that are derived from the monthly temperature and rainfall values in order to generate more biologically meaningful variables.

72. Body sizes of consumers and their resources

name

predator-prey-body-ratio

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3525119

citation

Ulrich Brose, Lara Cushing, Eric L. Berlow, Tomas Jonsson, Carolin Banasek-Richter, Louis-Felix Bersier, Julia L. Blanchard, Thomas Brey, Stephen R. Carpenter, Marie-France Cattin Blandenier, Joel E. Cohen, Hassan Ali Dawah, Tony Dell, Francois Edwards, Sarah Harper-Smith, Ute Jacob, Roland A. Knapp, Mark E. Ledger, Jane Memmott, Katja Mintenbeck, John K. Pinnegar, Bjorn C. Rall, Tom Rayner, Liliane Ruess, Werner Ulrich, Philip Warren, Rich J. Williams, Guy Woodward, Peter Yodzis, and Neo D. Martinez10. 2005. Body sizes of consumers and their resources. Ecology 86:2545.

description

Body size ratios between predators and their prey,

73. Oosting Natural Area (North Carolina) plant occurrence (Palmer et al. 2007)

name

plant-occur-oosting

reference

https://figshare.com/articles/Data_Paper_Data_Paper/3528371

citation

Michael W. Palmer, Robert K. Peet, Rebecca A. Reed, Weimin Xi, and Peter S. White. 2007. A multiscale study of vascular plants in a North Carolina Piedmont forest. Ecology 88:2674.

description

A data set collected in 1989 of vascular plant occurrences in overlapping grids of nested plots in the Oosting Natural Area of the Duke Forest, Orange County, North Carolina, USA.

74. BAAD: a Biomass And Allometry Database for woody plants

name

biomass-allometry-db

reference

https://doi.org/10.6084/m9.figshare.c.3307692.v1

citation

Falster, D.S., Duursma, R.A., Ishihara, M.I., Barneche, D.R., FitzJohn, R.G., Varhammar, A., Aiba, M., Ando, M., Anten, N., Aspinwall, M.J. and Baltzer, J.L., 2015. BAAD: a Biomass And Allometry Database for woody plants.

description

The data set is a Biomass and allometry database (BAAD) for woody plants containing 259634 measurements collected in 176 different studies from 21084 individuals across 678 species.

75. USGS North American Breeding Bird Survey

name

breed-bird-survey

reference

http://www.pwrc.usgs.gov/BBS/

citation

Pardieck, K.L., D.J. Ziolkowski Jr., M.-A.R. Hudson. 2015. North American Breeding Bird Survey Dataset 1966 - 2014, version 2014.0. U.S. Geological Survey, Patuxent Wildlife Research Center

description

A Cooperative effort between the U.S. Geological Survey’s Patuxent Wildlife Research Center and Environment Canada’s Canadian Wildlife Service to monitor the status and trends of North American bird populations.

76. Vertnet Reptiles

name

vertnet-reptiles

reference

http://vertnet.org/resources/datatoolscode.html

citation

Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Reptilia_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Reptilia_Sep2016

description

Compilation of digitized museum records of reptiles including locations, dates of collection, and some trait data.

77. Tree growth, mortality, physical condition - Clark, 2006

name

la-selva-trees

reference

https://doi.org/10.6084/m9.figshare.c.3299324.v1

citation

David B. Clark and Deborah A. Clark. 2006. Tree growth, mortality, physical condition, and microsite in an old-growth lowland tropical rain forest. Ecology 87:2132.

description

The data set helps to examine the post-establishment ecology of 10 species of tropical wet forest trees selected to span a range of predicted life history patterns at the La Selva Biological Station in Costa Rica.

78. Commercial Fisheries Monthly Trade Data by Product, Country/Association

name

biotimesql

reference

https://zenodo.org/record/1095628#.WskN7dPwYyn

citation

Dornelas M, Antão LH, Moyes F, et al. BioTIME: A database of biodiversity time series for the Anthropocene. Global Ecology & Biogeography. 2018; 00:1 - 26. https://doi.org/10.1111/geb.12729.

description

The BioTIME database has species identities and abundances in ecological assemblages through time.

79. Gulf of Maine intertidal density/cover (Petraitis et al. 2008)

name

intertidal-abund-me

reference

intertidal-abund-me’s home link.

citation

Peter S. Petraitis, Harrison Liu, and Erika C. Rhile. 2008. Densities and cover data for intertidal organisms in the Gulf of Maine, USA, from 2003 to 2007. Ecology 89:588.

description

The data on densities and percent cover in the 60 experimental plots from 2003 to 2007 and to update data from 1996 to 2002 that are already published in Ecological Archives.Includes densities of mussels, herbivorous limpet, herbivorous snails, predatory snail, barnacle , fucoid algae and percent cover by mussels, barnacles, fucoids, and other sessile organisms.

80. Alwyn H. Gentry Forest Transect Dataset

name

gentry-forest-transects

reference

http://www.mobot.org/mobot/research/gentry/welcome.shtml

citation

Phillips, O. and Miller, J.S., 2002. Global patterns of plant diversity: Alwyn H. Gentry’s forest transect data set. Missouri Botanical Press.

description

81. A Southern Ocean dietary database

name

socean-diet-data

reference

https://figshare.com/articles/Full_Archive/3551304

citation

Ben Raymond, Michelle Marshall, Gabrielle Nevitt, Chris L. Gillies, John van den Hoff, Jonathan S. Stark, Marcel Losekoot, Eric J. Woehler, and Andrew J. Constable. 2011. A Southern Ocean dietary database. Ecology 92:1188.

description

Diet-related data from published and unpublished data sets and studies

82. Commercial Fisheries Monthly Trade Data by Product, Country/Association

name

fao-global-capture-product

reference

http://www.fao.org/fishery/statistics/global-capture-production/

citation

FAO. 2018. FAO yearbook. Fishery and Aquaculture Statistics 2016/FAO annuaire. Statistiques des pêches et de l’aquaculture 2016/FAO anuario. Estadísticas de pesca y acuicultura 2016. Rome/Roma. 104pp.

description

Commercial Fisheries statistics provides a summary of commercial fisheries product data by individual country.

83. Aquatic Animal Excretion

name

aquatic-animal-excretion

reference

http://onlinelibrary.wiley.com/doi/10.1002/ecy.1792/abstract

citation

Vanni, M. J., McIntyre, P. B., Allen, D., Arnott, D. L., Benstead, J. P., Berg, D. J., Brabrand, Å., Brosse, S., Bukaveckas, P. A., Caliman, A., Capps, K. A., Carneiro, L. S., Chadwick, N. E., Christian, A. D., Clarke, A., Conroy, J. D., Cross, W. F., Culver, D. A., Dalton, C. M., Devine, J. A., Domine, L. M., Evans-White, M. A., Faafeng, B. A., Flecker, A. S., Gido, K. B., Godinot, C., Guariento, R. D., Haertel-Borer, S., Hall, R. O., Henry, R., Herwig, B. R., Hicks, B. J., Higgins, K. A., Hood, J. M., Hopton, M. E., Ikeda, T., James, W. F., Jansen, H. M., Johnson, C. R., Koch, B. J., Lamberti, G. A., Lessard-Pilon, S., Maerz, J. C., Mather, M. E., McManamay, R. A., Milanovich, J. R., Morgan, D. K. J., Moslemi, J. M., Naddafi, R., Nilssen, J. P., Pagano, M., Pilati, A., Post, D. M., Roopin, M., Rugenski, A. T., Schaus, M. H., Shostell, J., Small, G. E., Solomon, C. T., Sterrett, S. C., Strand, O., Tarvainen, M., Taylor, J. M., Torres-Gerald, L. E., Turner, C. B., Urabe, J., Uye, S.-I., Ventelä, A.-M., Villeger, S., Whiles, M. R., Wilhelm, F. M., Wilson, H. F., Xenopoulos, M. A. and Zimmer, K. D. (2017), A global database of nitrogen and phosphorus excretion rates of aquatic animals. Ecology. Accepted Author Manuscript. doi:10.1002/ecy.1792

description

Dataset containing the nutrient cycling rates of individual animals.

84. Pantheria (Jones et al. 2009)

name

pantheria

reference

pantheria’s home link.

citation

Kate E. Jones, Jon Bielby, Marcel Cardillo, Susanne A. Fritz, Justin O’Dell, C. David L. Orme, Kamran Safi, Wes Sechrest, Elizabeth H. Boakes, Chris Carbone, Christina Connolly, Michael J. Cutts, Janine K. Foster, Richard Grenyer, Michael Habib, Christopher A. Plaster, Samantha A. Price, Elizabeth A. Rigby, Janna Rist, Amber Teacher, Olaf R. P. Bininda-Emonds, John L. Gittleman, Georgina M. Mace, and Andy Purvis. 2009. PanTHERIA:a species-level database of life history, ecology, and geography of extant and recently extinct mammals. Ecology 90:2648.

description

PanTHERIA is a data set of multispecies trait data from diverse literature sources and also includes spatial databases of mammalian geographic ranges and global climatic and anthropogenic variables.

85. vertnet:

name

vertnet

reference

http://vertnet.org/resources/datatoolscode.html

citation

Not currently available

description

86. Load US Census Boundary and Attribute Data as ‘tidyverse’ and ‘sf’-Ready Data Frames

name

tidycensus

reference

https://github.com/walkerke/tidycensus

citation

description

An integrated R interface to the decennial US Census and American Community Survey APIs andthe US Census Bureau’s geographic boundary files. Allows R users to return Census and ACS data astidyverse-ready data frames, and optionally returns a listcolumn with feature geometry for all Censusgeographies.

87. Global wood density database - Zanne et al. 2009

name

wood-density

reference

http://datadryad.org/resource/doi:10.5061/dryad.234

citation

Chave J, Coomes DA, Jansen S, Lewis SL, Swenson NG, Zanne AE (2009) Towards a worldwide wood economics spectrum. Ecology Letters 12(4): 351-366. http://dx.doi.org/10.1111/j.1461-0248.2009.01285.x and Zanne AE, Lopez-Gonzalez G, Coomes DA, Ilic J, Jansen S, Lewis SL, Miller RB, Swenson NG, Wiemann MC, Chave J (2009) Data from: Towards a worldwide wood economics spectrum. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.234

description

A collection and collation of data on the major wood functional traits, including the largest wood density database to date (8412 taxa), mechanical strength measures and anatomical features, as well as clade-specific features such as secondary chemistry.

88. Forest Inventory and Analysis

name

forest-inventory-analysis

reference

http://fia.fs.fed.us/

citation

DATEOFDOWNLOAD. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station. [Available only on internet: http://apps.fs.fed.us/fiadb-downloads/datamart.html]

description

WARNING: This dataset requires downloading many large files and will probably take several hours to finish installing.

89. USA National Phenology Network

name

npn

reference

http://www.usanpn.org/results/data

citation

Schwartz, M. D., Ault, T. R., & J. L. Betancourt, 2012: Spring Onset Variations and Trends in the Continental USA: Past and Regional Assessment Using Temperature-Based Indices. International Journal of Climatology (published online, DOI: 10.1002/joc.3625).

description

The data set was collected via Nature’s Notebook phenology observation program (2009-present), and (2) Lilac and honeysuckle data (1955-present)

90. USGS North American Breeding Bird Survey 50 stop

name

breed-bird-survey-50stop

reference

http://www.pwrc.usgs.gov/BBS/

citation

Pardieck, K.L., D.J. Ziolkowski Jr., M.-A.R. Hudson. 2015. North American Breeding Bird Survey Dataset 1966 - 2014, version 2014.0. U.S. Geological Survey, Patuxent Wildlife Research Center.

description

A Cooperative effort between the U.S. Geological Survey’s Patuxent Wildlife Research Center and Environment Canada’s Canadian Wildlife Service to monitor the status and trends of North American bird populations.

91. 3D Elevation Program (3DEP) high-quality U.S. Geological Survey topographic data

name

usgs-elevation

reference

https://pubs.er.usgs.gov/publication/fs20163022

citation

Lukas, Vicki, Stoker, J.M., 2016, 3D Elevation Program—Virtual USA in 3D: U.S. Geological Survey Fact Sheet 2016–3022, 1 p., http://dx.doi.org/10.3133/fs20163022.

description

The U.S. Geological Survey (USGS) 3D Elevation Program (3DEP) uses lidar to create a virtual reality maps.

92. Vertnet Amphibians

name

vertnet-amphibians

reference

http://vertnet.org/resources/datatoolscode.html

citation

Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Amphibia_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Amphibia_Sep2016

description

Compilation of digitized museum records of amphibians including locations, dates of collection, and some trait data.

93. Vertnet Mammals

name

vertnet-mammals

reference

http://vertnet.org/resources/datatoolscode.html

citation

Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Mammals_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Mammals_Sep2016

description

Compilation of digitized museum records of mammals including locations, dates of collection, and some trait data.

94. Marine Predator and Prey Body Sizes - Barnes et al. 2008

name

predator-prey-size-marine

reference

predator-prey-size-marine’s home link.

citation

3. Barnes, D. M. Bethea, R. D. Brodeur, J. Spitz, V. Ridoux, C. Pusineri, B. C. Chase, M. E. Hunsicker, F. Juanes, A. Kellermann, J. Lancaster, F. Menard, F.-X. Bard, P. Munk, J. K. Pinnegar, F. S. Scharf, R. A. Rountree, K. I. Stergiou, C. Sassa, A. Sabates, and S. Jennings. 2008. Predator and prey body sizes in marine food webs. Ecology 89:881.

description

The data set contains relationships between predator and prey size which are needed to describe interactions of species and size classes in food webs.

95. Commercial Fisheries Monthly Trade Data by Product, Country/Association

name

noaa-fisheries-trade

reference

noaa-fisheries-trade’s home link.

citation

No known Citation

description

Commercial Fisheries statistics provides a summary of commercial fisheries product data by individual country.

96. Indian Forest Stand Structure and Composition (Ramesh et al. 2010)

name

forest-plots-wghats

reference

forest-plots-wghats’s home link.

citation

2. 18. Ramesh, M. H. Swaminath, Santoshgouda V. Patil, Dasappa, Raphael Pelissier, P. Dilip Venugopal, S. Aravajy, Claire Elouard, and S. Ramalingam. 2010. Forest stand structure and composition in 96 sites along environmental gradients in the central Western Ghats of India. Ecology 91:3118.

description

This data set reports woody plant species abundances in a network of 96 sampling sites spread across 22000 km2 in central Western Ghats region, Karnataka, India.

97. Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark

name

flensburg-food-web

reference

https://figshare.com/articles/Full_Archive/3552066

citation

3. Dieter Zander, Neri Josten, Kim C. Detloff, Robert Poulin, John P. McLaughlin, and David W. Thieltges. 2011. Food web including metazoan parasites for a brackish shallow water ecosystem in Germany and Denmark. Ecology 92:2007.

description

This data is of a food web for the Flensburg Fjord, a brackish shallow water inlet on the Baltic Sea, between Germany and Denmark.

98. A database on the life history traits of the Northwest European flora

name

plant-life-hist-eu

reference

http://www.uni-oldenburg.de/en/biology/landeco/research/projects/leda/

citation

KLEYER, M., BEKKER, R.M., KNEVEL, I.C., BAKKER, J.P, THOMPSON, K., SONNENSCHEIN, M., POSCHLOD, P., VAN GROENENDAEL, J.M., KLIMES, L., KLIMESOVA, J., KLOTZ, S., RUSCH, G.M., HERMY, M., ADRIAENS, D., BOEDELTJE, G., BOSSUYT, B., DANNEMANN, A., ENDELS, P., GoeTZENBERGER, L., HODGSON, J.G., JACKEL, A-K., KueHN, I., KUNZMANN, D., OZINGA, W.A., RoeMERMANN, C., STADLER, M., SCHLEGELMILCH, J., STEENDAM, H.J., TACKENBERG, O., WILMANN, B., CORNELISSEN, J.H.C., ERIKSSON, O., GARNIER, E., PECO, B. (2008): The LEDA Traitbase: A database of life-history traits of Northwest European flora. Journal of Ecology 96: 1266-1274

description

The LEDA Traitbase provides information on plant traits that describe three key features of plant dynamics: persistence, regeneration and dispersal.

99. Vertnet Birds

name

vertnet-birds

reference

http://vertnet.org/resources/datatoolscode.html

citation

Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Aves_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Aves_Sep2016

description

Compilation of digitized museum records of birds including locations, dates of collection, and some trait data.

100. Tree demography in Western Ghats, India - Pelissier et al. 2011

name

tree-demog-wghats

reference

tree-demog-wghats’s home link.

citation

Raphael Pelissier, Jean-Pierre Pascal, N. Ayyappan, B. R. Ramesh, S. Aravajy, and S. R. Ramalingam. 2011. Twenty years tree demography in an undisturbed Dipterocarp permanent sample plot at Uppangala, Western Ghats of India. Ecology 92:1376.

description

A data set on demography of trees monitored over 20 years in Uppangala permanent sample plot (UPSP).

101. PRISM Climate Data

name

prism-climate

reference

http://prism.oregonstate.edu/

citation

Not currently available

description

The PRISM data set represents climate observations from a wide range of monitoring networks, applies sophisticated quality control measures, and develops spatial climate datasets to reveal short- and long-term climate patterns.

102. Mammal Super Tree

name

mammal-super-tree

reference

http://doi.org/10.1111/j.1461-0248.2009.01307.x

citation

Fritz, S. A., Bininda-Emonds, O. R. P. and Purvis, A. (2009), Geographical variation in predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecology Letters, 12: 538-549. doi:10.1111/j.1461-0248.2009.01307.x

description

Mammal Super Tree from Fritz, S.A., O.R.P Bininda-Emonds, and A. Purvis. 2009. Geographical variation in predictors of mammalian extinction risk: big is bad, but only in the tropics. Ecology Letters 12:538-549

103. Vertnet Fishes

name

vertnet-fishes

reference

http://vertnet.org/resources/datatoolscode.html

citation

Bloom, D., Wieczorek J., Russell, L. (2016). VertNet_Fishes_Sept. 2016. CyVerse Data Commons. http://datacommons.cyverse.org/browse/iplant/home/shared/commons_repo/curated/VertNet_Fishes_Sep2016

description

Compilation of digitized museum records of fishes including locations, dates of collection, and some trait data.

104. PREDICTS Database

name

predicts

reference

http://data.nhm.ac.uk/dataset/902f084d-ce3f-429f-a6a5-23162c73fdf7

citation

Lawrence N Hudson; Tim Newbold; Sara Contu; Samantha L L Hill et al. (2016). Dataset: The 2016 release of the PREDICTS database. http://dx.doi.org/10.5519/0066354

description

A dataset of 3,250,404 measurements, collated from 26,114 sampling locations in 94 countries and representing 47,044 species.

105. Amniote life History database

name

amniote-life-hist

reference

amniote-life-hist’s home link.

citation

Myhrvold, N.P., Baldridge, E., Chan, B., Sivam, D., Freeman, D.L. and Ernest, S.M., 2015. An amniote life-history database to perform comparative analyses with birds, mammals, and reptiles:Ecological Archives E096-269. Ecology, 96(11), pp.3109-000.

description

Compilation of life history traits for birds, mammals, and reptiles.

106. Fia georgia, GA

name

fia-georgia

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

107. Fia vermont, VT

name

fia-vermont

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

108. The US Forest Service, Forest Health Monitoring, Pennsylvania

name

forest-health-monitoring-pennsylvania

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

109. Virgin Islands National Park: Population Dynamics of Octocorals

name

virgin-islands-coral-octocorals-count

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Edmunds, P.J., Tsounis, G. & Lasker, H.R. Hydrobiologia (2016) 767: 347. https://doi.org/10.1007/s10750-015-2555-z

description

These data describe coral reef community structure by density based on the analysis of color photographs along the south coast of St. John from as early as 1987, http://coralreefs.csun.edu/legal/use-policy/

110. Portal Project Teaching

name

portal-project-teaching

reference

https://figshare.com/articles/Portal_Project_Teaching_Database/1314459

citation

description

The Portal Project Teaching Database is a simplified version of the Portal Project Database designed for teaching

111. USDA Global Branded Food Products Database (Branded Foods)

name

usda-mafcl-fooddatacenteral-brandedfoods

reference

usda-mafcl-fooddatacenteral-brandedfoods’s home link.

citation

U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov

description

The data is compiled from public-private partnership that provides values for nutrients in branded and private label foods that appear on the product label

112. Fia maine, ME

name

fia-maine

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

113. The North Carolina Piedmont Forest LTREB Project, Seedling and Sapling Plots

name

north-carolina-piedmont_seedlng_sampling

reference

http://labs.bio.unc.edu/Peet/PEL/df.htm

citation

description

The data shows the Seedling and Sapling Plots information from North Carolina Piedmont Forest LTREB Project

114. Fia american-samoa, AS

name

fia-american-samoa

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

115. Rainfall in India

name

rainfall-in-india

reference

https://data.gov.in/resources/sub-divisional-monthly-rainfall-1901-2017

citation

India Meteorological Department (IMD)

description

Month wise all India rainfall data from 1901-2017. The sub-division wise rainfall and its departure from normal for each month and season has been provided in the data.

116. British Columbia Detailed Soil Survey

name

british-columbia-detailed-soil-survey

reference

https://open.canada.ca/data/en/dataset/adf4d26a-9fc0-44c9-ba38-620531ca0dbe

citation

description

The British Columbia Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

117. The US Forest Service, Forest Health Monitoring, California

name

forest-health-monitoring-california

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

118. Fia minnesota, MN

name

fia-minnesota

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

119. Ontario Detailed Soil Survey

name

ontario-detailed-soil-survey

reference

https://open.canada.ca/data/en/dataset/a75c3d6c-354d-436d-999d-431fb3a9de79

citation

description

The Ontario Detailed Soil Survey dataset series is at a scale of 1: 50 000 and consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

120. The Global Root Trait, GRooT Database

name

groot

reference

https://github.com/GRooT-Database/GRooT-Data

citation

Guerrero-Ramirez N, Mommer L, Freschet GT, Iversen CM, McCormack M.L, Kattge J, Poorter H, van der Plas F, Bergmann J, Kuyper TW, York LM, Bruelheide H, Laughlin DC, Meier IC, Roumet C, Semchenko M, Sweeney CJ, van Ruijven J, Valverde-Barrantes OJ, Aubin I, Catford JA, Manning P, Martin A, Milla R, Minden V, Pausas JG, Smith SW, Soudzilovskaia NA, Ammer C, Butterfield B, Craine J, Cornelissen JHC, de Vries FT, Isaac ME, Kramer K, König C, Lamb EG, Onipchenko VG, Peñuelas J, Reich PB, Rillig MC, Sack L, Shipley B, Tedersoo L, Valladares F, van Bodegom P, Weigelt P, Wright JP, Weigelt A. 2020. Global Root Traits (GRooT) Database. Global Ecology and Biogeography. doi.org/10.1111/geb.13179

description

The GRooT database contains about 114,222 trait records on 38 continuous root traits.

121. Virgin Islands National Park: Coral Reef: Decadal-scale changes in community structure from 1987 to 2011

name

virgin-islands-coral-decadal-scale

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Edmunds PJ (2013) Decadal-scale changes in the community structure of coral reefs of St. John, US Virgin Islands. Mar Ecol Prog Ser 489:107-123. https://doi.org/10.3354/meps10424

description

Long-term Coral Reef Community Dynamics, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

122. Credit Card Fraud Detection Dataset

name

credit-card-fraud

reference

https://www.kaggle.com/mlg-ulb/creditcardfraud

citation

description

Anonymized credit card transactions labeled as fraudulent or genuine

123. Fia us-virgin-islands, VI

name

fia-us-virgin-islands

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

124. COVID-19 in Italy

name

coronavirus-italy

reference

https://www.kaggle.com/sudalairajkumar/covid19-in-italy

citation

description

Coronavirus Disease 2019 cases in Italy

125. Third-order and Upper watershed White Clay Creek and Boulton Run – Climate, Stable Isotopes, Stream Water Chemistry,Precipitation Stable Isotopes (2011-2012)

name

white-clay-creek-boulton-chemistry

reference

https://www.hydroshare.org/resource/ff7435cd22d94914ad3a674c40b229e9/

citation

Karwan, D., O. Lazareva, A. Aufdenkampe (2018). Third-order White Clay Creek and Boulton Run - Climate, Stable Isotopes, Stream Water Chemistry (2011-2012), HydroShare, https://doi.org/10.4211/hs.ff7435cd22d94914ad3a674c40b229e9

description

Deuterium and Oxygen-18 measured on stream water samples collected during baseflow, stormflow conditions, time-integrated and bulk precipitation

126. The US Forest Service, Forest Health Monitoring, Washington

name

forest-health-monitoring-washington

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

127. Fia new-mexico, NM

name

fia-new-mexico

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

128. Fia massachusetts, MA

name

fia-massachusetts

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

129. County Emergency Management Offices New York

name

county-emergency-management-offices

reference

https://catalog.data.gov/dataset/county-emergency-management-offices

citation

description

Dataset lists all contacts for Emergency Management Offices within NYS

130. Fia northern-mariana-islands, MP

name

fia-northern-mariana-islands

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

131. The US Forest Service, Forest Health Monitoring, Delaware

name

forest-health-monitoring-delaware

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

132. Fia montana, MT

name

fia-montana

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

133. fill

name

nlcd-urban-imperviousness-puerto-rico

reference

fill

citation

fill

description

pr_masked_imperv_10-25-08.img

134. Fernow experimental Forest in central Appalachia. LTREB WS 4 Biomass

name

fernow-biomass

reference

http://www.as.wvu.edu/fernow/data.html

citation

Tajchman, S.J., H. Fu, J.N. Kochenderfer, and C. Pan. 1995. Spatial characteristics of topography, energy exchange, and forest cover in a central Appalachian watershed. Proceedings, 10th Central Hardwood Forest Conference. USDA Forest Service Northeast Forest Experimental Station General Technical Report NE-197.

description

Fernow experimental Forest in central Appalachia. LTREB WS 4 Biomass, See Data policy

135. Fia north-carolina, NC

name

fia-north-carolina

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

136. Fia utah, UT

name

fia-utah

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

137. Fia nevada, NV

name

fia-nevada

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

138. The US Forest Service, Forest Health Monitoring, Michigan

name

forest-health-monitoring-michigan

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

139. fill

name

nlcd-urban-imperviousness-alaska

reference

fill

citation

fill

description

NLCD_2011_Urban_Descriptor_AK_20200724.img

140. COVID-19 Case Surveillance Public Use Data with Geography

name

covid-case-surveillance

reference

https://dev.socrata.com/foundry/data.cdc.gov/n8mc-b4w4

citation

description

This case surveillance public use dataset has 19 elements for all COVID-19 cases shared with CDC and includes demographics, geography (county and state of residence), any exposure history, disease severity indicators and outcomes, and presence of any underlying medical conditions and risk behaviors.

141. Fia louisiana, LA

name

fia-louisiana

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

142. The US Forest Service, Forest Health Monitoring, Wisconsin

name

forest-health-monitoring-wisconsin

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

143. Fia colorado, CO

name

fia-colorado

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

144. Sycamore Creek macroinvertebrate collections after flooding event

name

sycamore-creek-macroinvertebrate

reference

https://sustainability.asu.edu/caplter/data/view/knb-lter-cap.375.8/

citation

description

This data shows how long-term climate variability influences the structure and function of desert streams

145. Fia arkansas, AR

name

fia-arkansas

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

146. Virgin islands coral taxonomy

name

virgin-islands-coral-taxonomy

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

N/A

description

Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

147. Fia iowa, IA

name

fia-iowa

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

148. Fia kansas, KS

name

fia-kansas

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

149. The USA Final Fire Perimeter dataset, National USFS Final Fire Perimeter

name

national-usfs-finalfire-perimeter

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20210415. National USFS Final Fire Perimeter: S_USA.FinalFirePerimeter. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.FinalFirePerimeter.xml.

description

The FinalFirePerimeter polygon layer represents final mapped wildland fire perimeters

150. WorldClim [Bioclimatic] variables for WorldClim version 2

name

worldclim-twofive

reference

http://worldclim.org/version2

citation

Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.

description

WorldClim variables at 2.5 minutes, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

151. Fia oklahoma, OK

name

fia-oklahoma

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

152. Dietary Supplement Ingredient Database (DSID-4),

name

usda-dietary-supplement-ingredient-data

reference

https://dietarysupplementdatabase.usda.nih.gov/Data_Files.php

citation

US Department of Agriculture, Agricultural Research Service, Nutrient Data Laboratory and US Department of Health and Human Services, National Institutes of Health, Office of Dietary Supplements. Dietary Supplement Ingredient Database (DSID) release 4.0, August 2017. Available from: https://dsid.usda.nih.gov

description

This is the fourth release of the Dietary Supplement Ingredient Database (DSID-4) which reports national estimates for ingredient levels in dietary supplements (DS), based on chemical analysis

153. Fernow Experimental Forest daily streamflow

name

fernow-forest-streamflow

reference

https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0015

citation

Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest daily streamflow. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0015

description

The data contains daily streamflow for nine watersheds on the Fernow Experimental Forest from 1951 to 2015.

154. Fia rhode-island, RI

name

fia-rhode-island

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

155. Nuclear Power Plants Database

name

nuclear-power-plants

reference

https://github.com/cristianst85/GeoNuclearData

citation

description

Database with information about Nuclear Power Plants worldwide

156. Stroud Water Research Center - Precipitation, Meteorology (1996-2010)

name

white-clay-creek-swrc-meteorology

reference

white-clay-creek-swrc-meteorology’s home link.

citation

Tsang, Y.-P., Hourly Precipitation at Stroud Water Research Center 1996-2010

description

Meteorological data collected at Stroud Water Research Center

157. Foreign Exchange rates for 2000 to 2019

name

foreign-exchange-rates-2000-2019

reference

https://www.kaggle.com/brunotly/foreign-exchange-rates-per-dollar-20002019

citation

description

Federal Reserve’s time serie of foreign exchange rates per dollar from 2000 to 2019

158. Virgin Islands National Park: Coral Reef: Physical Measurements

name

virgin-islands-coral-physical-measurements

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Edmunds P. 2019. Virgin Islands National Park: Coral Reef: Physical Measurements. Environmental Data Initiative. https://doi.org/10.6073/pasta/f68ca3604ca632eabcd31712ca0cd622. Dataset accessed 10/10/2019.

description

Virgin Islands National Park Coral Reef Physical measurements, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

159. The US Forest Service, Forest Health Monitoring, Minnesota

name

forest-health-monitoring-minnesota

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

160. Prince Edward Island Detailed Soil Survey

name

prince-edward-island-detailed-soil-survey

reference

https://open.canada.ca/data/en/dataset/3adcf032-7fdb-4301-8d8e-ebf0e0f06e68

citation

description

The Prince Edward Island Detailed Soil Survey is a dataset series describing the spatial distribution of soils and associated landscapes in the Canadian province of Prince Edward Island.

161. The US Forest Service, Forest Health Monitoring, Maine

name

forest-health-monitoring-maine

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

162. The US Forest Service, Forest Health Monitoring, Missouri

name

forest-health-monitoring-missouri

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

163. Titanic: Machine Learning from Disaster

name

titanic

reference

https://www.kaggle.com/c/titanic

citation

description

Titanic passenger data use to predict survival on the Titanic

164. Fia north-dakota, ND

name

fia-north-dakota

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

165. The US Forest Service, Forest Health Monitoring, Vermont

name

forest-health-monitoring-vermont

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

166. fill

name

nlcd-imperviousness-conus

reference

fill

citation

description

NLCD imperviousness products. Default bounding box is [xmin,ymax,xmax,ymin][-110,50,-100,30]

167. Fernow Experimental Forest precipitation chemistry

name

fernow-precipitation-chemistry

reference

https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0016

citation

Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest precipitation chemistry. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0016

description

The data publication contains weekly precipitation chemistry from two weather stations on the Fernow Experimental Forest from 1983 to 2015

168. Fia virginia, VA

name

fia-virginia

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

169. Fia tennessee, TN

name

fia-tennessee

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

170. The US Forest Service, Forest Health Monitoring, Alabama

name

forest-health-monitoring-alabama

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

171. Fia mississippi, MS

name

fia-mississippi

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

172. Fia florida, FL

name

fia-florida

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

173. Maizuru Bay fish community

name

ushio-maizuru-fish-community

reference

https://github.com/ong8181/dynamic-stability

citation

Ushio M, Hsieh CH, Masuda R, Deyle RE, Ye H, Chang CW, Sugihara G, Kondoh M (2018) Fluctuating interaction entwork and time-varying stability of a natural fish community Nature 554 (7692): 360–363 doi:101038/nature25504

description

Fluctuating interaction network and time-varying stability of a natural fish community

174. Fia wisconsin, WI

name

fia-wisconsin

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

175. Food and Nutrient Database for Dietary Studies 2013-2014 (FNDDS 2013-2014)

name

usda-mafcl-fooddatacenteral-fndds

reference

usda-mafcl-fooddatacenteral-fndds’s home link.

citation

U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov

description

The data shows the nutrient and food component values and weights for foods and beverages reported in America dietary survey component of the National Health and Nutrition Examination Survey

176. Fia idaho, ID

name

fia-idaho

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

177. Fia puerto-rico, PR

name

fia-puerto-rico

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

178. PA Avondale 2N - Soil Moisture, Soil Temperature - NOAA CRN (2011-2015)

name

white-clay-creek-avondale-soil

reference

white-clay-creek-avondale-soil’s home link.

citation

Bell, J.E., M.A. Palecki, C.B. Baker, W.G. Collins, J.H. Lawrimore, R.D. Leeper, M.E. Hall, J. Kochendorfer, T.P. Meyers, T. Wilson, and H.J. Diamond. 2013: U.S. Climate Reference Network Soil Moisture and Temperature Observations. J. Hydrometeorol., doi: 10.1175/JHM-D-12-0146.1. See http://www.ncdc.noaa.gov/crn/publications.html.

description

The U.S. Climate Reference Network (USCRN) developed by the National Oceanic and Atmospheric Administration (NOAA) provide future long-term homogeneous temperature and precipitation observations that can be coupled to long-term historical observations for the detection and attribution of present and future climate change.

179. White Clay Creek – Well Water Levels (1988-2012)

name

white-clay-creek-waterlevels

reference

https://czo.stroudcenter.org/data/white-clay-creek-well-water-levels-1988-2012/

citation

Well Water Level data collected by Stroud Water Research Center

description

Well Water Level data collected by Stroud Water Research Center

180. Fia guam, GU

name

fia-guam

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

181. Fia palau, PW

name

fia-palau

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

182. The US Forest Service, Forest Health Monitoring, Wyoming

name

forest-health-monitoring-wyoming

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

183. The US Forest Service, Forest Health Monitoring, Massachusetts

name

forest-health-monitoring-massachusetts

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

184. The US Forest Service, Forest Health Monitoring, Colorado

name

forest-health-monitoring-colorado

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

185. The US Forest Service, Forest Health Monitoring, North Carolina

name

forest-health-monitoring-northcarolina

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

186. Alberta Detailed Soil Survey

name

alberta-detailed-soil-survey

reference

https://open.canada.ca/data/en/dataset/9150ad66-73f7-444f-a67c-4be5cf676453

citation

description

The Agricultural Region of Alberta Soil Inventory Database (AGRASID3.0) Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

187. Saskatchewan Detailed Soil Survey

name

saskatchewan-detailed-soil-survey

reference

https://open.canada.ca/data/en/dataset/3734623c-25c5-4e69-936d-26f764a2807f

citation

description

The Saskatchewan Detailed Soil Survey dataset series at a scale of 1:100 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF)

188. The New York Times Coronavirus (Covid-19) Data in the United States

name

nytimes-us-covid

reference

https://github.com/nytimes/covid-19-data

citation

Data from The New York Times, based on reports from state and local health agencies.

description

The New York Times’ data files with cumulative counts of coronavirus cases in the United States

189. Virgin islands coral scleractinian corals

name

virgin-islands-coral-scleractinian-corals

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

N/A

description

Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

190. Fia california, CA

name

fia-california

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

191. DS4C: Data Science for COVID-19 in South Korea

name

coronavirus-south-korea

reference

https://www.kaggle.com/kimjihoo/coronavirusdataset

citation

description

NeurIPS 2020 Data Science for COVID-19, South Korea

192. White Clay Creek – Chlorophyll – Pheophytin (2001-2012)

name

white-clay-creek-chlorophyll

reference

https://czo.stroudcenter.org/data/white-clay-creek-chlorophyll-pheophytin-2001-2012/

citation

Newbold, J. D.; Damiano, S. G. (2013). White Clay Creek - Chlorophyll (2001-2012). Stroud Water Research Center.

description

Stream Chlorophyll and Pheophytin data collected by Stroud Water Research Center

193. The US Forest Service, Forest Health Monitoring, Tennessee

name

forest-health-monitoring-tennessee

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

194. WorldClim variables WorldClim version 2 at 10 minutes (~340 km2)

name

worldclim-ten

reference

http://worldclim.org/version2

citation

Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.

description

WorldClim variables at 10 minutes, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

195. The US Forest Service, Forest Health Monitoring, Illinois

name

forest-health-monitoring-illinois

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

196. Christina River Basin – Stream Suspended Sediment (1993-2012)

name

white-clay-creek-christina-sediment

reference

white-clay-creek-christina-sediment’s home link.

citation

Aufdenkampe, A.K.; Newbold, J.D.; Anderson, B. A.; Richardson, D.; Damiano, S.G. (2013). Christina River Basin - Stream Suspended Sediment (1993-2012). Stroud Water Research Center.

description

The data contains the total suspended solids (TSS) and Volatile Suspended Solids (VSS) from White Clay Creek near the Stroud Water Research Center, Avondale, PA, USA

197. Soil Landscapes of Canada Version

name

soil-landscapes-of-canada

reference

https://open.canada.ca/data/en/dataset/4b0ae142-9ff0-4d8f-abf5-36b2b4edd52d

citation

description

The “Soil Landscapes of Canada (SLC) Version 2.2” dataset series provides a set of geo-referenced soil areas (polygons) that are linked to attribute data found in the associated Component Table (CMP), Landscape Table (LAT), Carbon Layer Table (CLYR), and Dom/Sub File (DOM_SUB)

198. The US Forest Service, Forest Health Monitoring, South Carolina

name

forest-health-monitoring-southcarolina

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

199. Long-Term Soil Productivity (LTSP) Experiment, Fernow experimental Forest, LTREB

name

fernow-soil-productivity

reference

http://www.as.wvu.edu/fernow/data.html

citation

description

Fernow experimental Forest, LTREB, Soil Productivity, See Data policy

200. Fernow Experimental Forest daily precipitation

name

fernow-precipitation

reference

https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0014

citation

Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest daily precipitation. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 19 September 2017. https://doi.org/10.2737/RDS-2011-0014

description

The data publication contains daily watershed-weighted precipitation measured for nine watersheds on the Fernow Experimental Forest from 1951 to 2015.

201. Fia pennsylvania, PA

name

fia-pennsylvania

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

202. Fia illinois, IL

name

fia-illinois

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

203. National Nutrient Database for Standard Reference Legacy Release (SR Legacy)

name

usda-mafcl-fooddatacenteral-srlegacy

reference

usda-mafcl-fooddatacenteral-srlegacy’s home link.

citation

U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov

description

The data provides a list of nutrient and food component values that are derived from analyses, calculations, and the published literature.

204. The USA Activity TimberHarvest dataset

name

activity-timberharvest

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20210407. Timber Harvests: S_USA.Activity_TimberHarvest. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_TimberHarvest.xml.

description

The TimeberHarvest feature class depicts the area planned and accomplished acres treated as a part of the Timber Harvest program of work

205. National Pedon Database Summary Layer

name

national-pedon-database-summary-layer

reference

https://open.canada.ca/data/en/dataset/6457fad6-b6f5-47a3-9bd1-ad14aea4b9e0

citation

description

The National Pedon Database Summary Layer is a limited, vetted dataset of eight tables containing over a hundred soil properties. Additionally, the National Pedon Database Summary layer is only a subset of the information contained within the National Pedon Database holdings (NPDB)

206. Virgin Islands National Park: Coral Reef: Juvenile Coral

name

virgin-islands-coral-juvenile

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Edmunds P. 2016. Virgin Islands National Park: Coral Reef: Juvenile Coral. Environmental Data Initiative. https://doi.org/10.6073/pasta/cd413c7d15f1d73f48def3f8167bf486. Dataset accessed 10/10/2019.

description

juvenile scleractinians data, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

207. Virgin Islands National Park: Population Dynamics of Diadema antillarum

name

virgin-islands-coral-diadema-antillarum

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Levitan, D.R., Edmunds, P.J. & Levitan, K.E. Oecologia (2014) 175: 117. https://doi.org/10.1007/s00442-013-2871-9

description

Long-term Coral Reef Community Dynamics, St. John, Virgin Islands National Park, CSUN. http://coralreefs.csun.edu/legal/use-policy/

208. Virgin Islands National Park: Coral Reef: Recruitment Tiles

name

virgin-islands-coral-recruitment-tiles

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Edmunds P. 2018. Virgin Islands National Park: Coral Reef: Recruitment Tiles. Environmental Data Initiative. https://doi.org/10.6073/pasta/c22c4c8064634988f680a004e8ed9876. Dataset accessed 10/10/2019.

description

Virgin Islands National Park: Coral Reef: Recruitment Tiles, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

209. fill

name

nlcd-urban-imperviousness-hawaii

reference

fill

citation

fill

description

hi_masked_imperv_9-30-08.img

210. The North Carolina Piedmont Forest LTREB Project, Permanent sample plots

name

north-carolina-piedmont-permanent-plots

reference

http://labs.bio.unc.edu/Peet/PEL/df.htm

citation

description

The data between 1931 and 1947 permanent sample plots (PSPs) with individually numbered trees were established in the Duke Forest

211. Fia nebraska, NE

name

fia-nebraska

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

212. Rodent data from trapping webs in the long-term Small Mammal Exclusion Study (SMES) at Jornada Basin LTER, 1995-2007

name

jornada-lter-rodent

reference

https://portal.lternet.edu/nis/mapbrowse?packageid=knb-lter-jrn.210086009.74

citation

Bestelmeyer B., D. Lightfoot, R. Schooley. 2019. Rodent data from trapping webs in the long-term Small Mammal Exclusion Study (SMES) at Jornada Basin LTER, 1995-2007. Environmental Data Initiative. https://doi.org/10.6073/pasta/0c38baecb2e10b4fe70d187ba6f08dda. Dataset accessed 1/30/2020.

description

This data package contains rodent trapping data from plots with various levels of herbivore exclusion on the Jornada Experimental Range (JER) and Chihuahuan Desert Rangeland Research Center (CDRRC) lands.

213. NTN Site WV18, Rain Chemistry data, National Atmospheric Deposition Program, State of West Virginia (WV)

name

fernow-nadp-rain-chemistry

reference

http://nadp.slh.wisc.edu/data/sites/siteDetails.aspx?net=NTN&id=WV18

citation

description

This data is the rain Chemistry data used in Fernow Experimental Forest Monitoring, part of National Atmospheric Deposition Program, State of West Virginia (WV),

214. Fia west-virginia, WV

name

fia-west-virginia

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

215. Fia new-jersey, NJ

name

fia-new-jersey

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

216. Long-term studies of secondary succession and community assembly in the prairie-forest ecotone of eastern Kansas (NSF LTREB # 0950100)

name

foster-ltreb

reference

https://foster.ku.edu/ltreb-datasets

citation

description

The data is used towards understanding and predicting the potential effects of accelerated human activity on biological diversity and ecosystem sustainability

217. Fia kentucky, KY

name

fia-kentucky

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

218. New York City Airbnb Open Data

name

new-york-city-airbnb-open-data

reference

https://www.kaggle.com/dgomonov/new-york-city-airbnb-open-data

citation

description

Airbnb listings and metrics in NYC, NY, USA (2019)

219. The US Forest Service, Forest Health Monitoring, Florida

name

forest-health-monitoring-florida

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

220. Fia south-carolina, SC

name

fia-south-carolina

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

221. The US Forest Service, Forest Health Monitoring, Georgia

name

forest-health-monitoring-georgia

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

222. Fia hawaii, HI

name

fia-hawaii

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

223. National Pedon Database Summary Layer

name

canada-soil-survey

reference

https://open.canada.ca/data/en/dataset/6457fad6-b6f5-47a3-9bd1-ad14aea4b9e0

citation

description

The Canada National Soil Data

224. Virgin Islands National Park: Population Projections for Orbicella annularis

name

virgin-islands-coral-population-projections

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Edmunds, P.J., 2015. A quarter-century demographic analysis of the Caribbean coral, Orbicella annularis, and projections of population size over the next century. Limnology and Oceanography, 60, pp.840-855.

description

Populations Dynamics and Population Projections data, Long-term Coral Reef Community Dynamics, http://coralreefs.csun.edu/legal/use-policy/

225. FoodData Central Data Supporting Data

name

usda-mafcl-fooddatacenteral-supportingdata

reference

usda-mafcl-fooddatacenteral-supportingdata’s home link.

citation

U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov

description

Supporting data for the FoodData Central Data

226. Virgin Islands National Park: Landscape-scale Variation in Community Structure

name

virgin-islands-coral-landscape-scale

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

N/A

description

Percent cover on tiles at landscape-scale sites, Download data after acceptance of MCR LTER Data Use Agreement, http://coralreefs.csun.edu/legal/use-policy/

227. Fia federated-states-micrones, FM

name

fia-federated-states-micrones

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

228. The USA Activity Range Vegetation Improvement dataset

name

activity-range-vegetation-improvement

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20210407. Activity Range Vegetation Improvement: S_USA.Activity_RngVegImprove. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_RngVegImprove.xml.

description

The Activity Range Vegetation Improvement depicts the area planned and accomplished areas treated as a part of the Range Vegetation Improvement program of work

229. All FoodData Central data types

name

usda-mafcl-fooddatacenteral-alldatatypes

reference

usda-mafcl-fooddatacenteral-alldatatypes’s home link.

citation

U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov

description

The datasets contains files for all of the FoodData Central data types

230. The US Forest Service, Forest Health Monitoring, Idaho

name

forest-health-monitoring-idaho

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

231. Fia maryland, MD

name

fia-maryland

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

232. Arsenic contamination of groundwater in Bangladesh data

name

arsenic-contamination-bangladesh

reference

http://www.bgs.ac.uk/research/groundwater/health/arsenic/Bangladesh/data.html

citation

BGS and DPHE. 2001. Arsenic contamination of groundwater in Bangladesh. Kinniburgh, D G and Smedley, P L (Editors). British Geological Survey Technical Report WC/00/19. British Geological Survey: Keyworth.

description

Bangladesh, Arsenic contamination of groundwater

233. The US Forest Service, Forest Health Monitoring, Utah

name

forest-health-monitoring-utah

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

234. The US Forest Service, Forest Health Monitoring, New Jersey

name

forest-health-monitoring-newjersey

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

235. The North Carolina Piedmont Forest LTREB Project, Mapped Forest Stands

name

north-carolina-piedmont-mapped-foreset

reference

http://labs.bio.unc.edu/Peet/PEL/df.htm

citation

description

Mapped Forest Stands of North Carolina Piedmont Forest LTREB Project

236. Cervical cancer (Risk Factors) Data Set

name

risk-factors-cervical-cancer

reference

http://archive.ics.uci.edu/ml/datasets/Cervical+cancer+%28Risk+Factors%29

citation

Kelwin Fernandes, Jaime S. Cardoso, and Jessica Fernandes. ‘Transfer Learning with Partial Observability Applied to Cervical Cancer Screening.’ Iberian Conference on Pattern Recognition and Image Analysis. Springer International Publishing, 2017.

description

This dataset focuses on the prediction of indicators/diagnosis of cervical cancer. The features cover demographic information, habits, and historic medical records.

237. Whole Watershed Acidification Experiment, Fernow experimental Forest, LTREB

name

fernow-watershed-acidification

reference

http://www.as.wvu.edu/fernow/data.html

citation

description

Fernow experimental Forest, LTREB, See Data policy

238. Zipcodes dataset

name

zipcodes

reference

http://federalgovernmentzipcodes.us/license.html

citation

Coven, D. S., (2012). Free Zipcode Database: [Unique Zipcode | All Locations data file]. Retrieved from http://federalgovernmentzipcodes.us

description

Zipcode data

239. Fia michigan, MI

name

fia-michigan

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

240. The National Atmospheric Deposition Program (NADP) precipitation chemistry

name

nadp-precipitation-chemistry

reference

http://nadp.slh.wisc.edu/data/

citation

description

The National Atmospheric Deposition Program (NADP) monitors precipitation chemistry. The data contains long term record of total mercury (Hg), ammonia gas

241. The US Forest Service, Forest Health Monitoring, Virginia

name

forest-health-monitoring-virginia

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

242. Christina River Basin – Stream Water Temperatures (2007-2014)

name

white-clay-creek-christina-temperatures

reference

white-clay-creek-christina-temperatures’s home link.

citation

Sweeney, B.; Funk, D.; Newbold, J. D.; Kaplan, L. A.; Damiano, S. G.; Kline, F.; West, H.(2013). Christina River Basin - Stream Water Temperatures (2007-2012). Stroud Water Research Center.

description

Stream Temperature data collected by Stroud Water Research Center

243. Restaurant in Baltimore city

name

baltimore-restaurants

reference

https://catalog.data.gov/dataset/restaurants-15baa

citation

description

List of restaurants on Baltimore City

244. Fia wyoming, WY

name

fia-wyoming

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

245. Fia missouri, MO

name

fia-missouri

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

246. Activity Silviculture Timber Stand Improvement

name

activity-silviculture-timber-stand-improvement

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20210407. Activity Silviculture Timber Stand Improvement: S_USA.Activity_SilvTSI. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_SilvTSI.xml.

description

The SilvTSI (Silviculture Timber Stand Improvement) feature class represents activities associated with the following performance measure: Forest Vegetation Improved (Release, Weeding, and Cleaning, Precommercial Thinning, Pruning and Fertilization).

247. IATA airport code

name

airport-codes

reference

https://datahub.io/core/airport-codes

citation

description

Compiled dataset of airport codes from around the world

248. The US Forest Service, Forest Health Monitoring, Oregon

name

forest-health-monitoring-oregon

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

249. Global Population Dynamics Database

name

global-population-dynamics

reference

https://knb.ecoinformatics.org/view/doi:10.5063/F1BZ63Z8

citation

John Prendergast, Ellen Bazeley-White, Owen Smith, John Lawton, Pablo Inchausti, et al. 2010. The Global Population Dynamics Database. Knowledge Network for Biocomplexity. doi:10.5063/F1BZ63Z8.

description

GDPP conatins animal and plant population data, with about five thousand separate time series, population counts, taxonomic details of about 1400 species.

250. Fernow Experimental Forest stream chemistry

name

fernow-stream-chemistry

reference

https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0017

citation

Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest stream chemistry. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0017

description

The data publication contains weekly or biweekly stream water chemistry from nine gauged watersheds on the Fernow Experimental Forest from 1983 to 2015.

251. Shortgrass Steppe Long Term Ecological Research (SGS-LTER) Program data

name

shortgrass-steppe-lter

reference

https://portal.lternet.edu/nis/mapbrowse?packageid=knb-lter-sgs.137.17

citation

Stapp P. 2013. SGS-LTER Long-Term Monitoring Project: Small Mammals on Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2006, ARS Study Number 118. Environmental Data Initiative. https://doi.org/10.6073/pasta/2e311b4e40fea38e573890f473807ba9. Dataset accessed 1/30/2020.

description

SGS-LTER Long-Term Monitoring Project: Small Mammals on Trapping Webs on the Central Plains Experimental Range, Nunn, Colorado, USA 1994 -2006, ARS Study Number 118

252. Fernow Experimental Forest daily air temperature

name

fernow-air-temperature

reference

https://www.fs.usda.gov/rds/archive/catalog/RDS-2011-0013

citation

Edwards, Pamela J.; Wood, Frederica. 2011. Fernow Experimental Forest daily air temperature. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northern Research Station. Data publication updated 17 August 2017. https://doi.org/10.2737/RDS-2011-0013

description

The data publication contains daily maximum and minimum air temperature measured at two weather stations on the Fernow Experimental Forest from 1951 to 2015

253. The US Forest Service, Forest Health Monitoring, Indiana

name

forest-health-monitoring-indiana

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

254. Yukon Detailed Soil Survey

name

yukon-detailed-soil-survey

reference

https://open.canada.ca/data/en/dataset/91c39230-fb8d-45f7-8af9-11257a549710

citation

description

The Yukon Detailed Soil Survey dataset series consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF)

255. The US Forest Service, Forest Health Monitoring, Maryland

name

forest-health-monitoring-maryland

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

256. The US Forest Service, Forest Health Monitoring, Connecticut

name

forest-health-monitoring-connecticut

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

257. Fia connecticut, CT

name

fia-connecticut

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

258. Hyperspectral benchmark dataset on soil moisture

name

felix-riese-hyperspectral-soilmoisture

reference

https://zenodo.org/record/2530634#.Xf7thC2ZOuU

citation

Felix M. Riese and Sina Keller, “Introducing a Framework of Self-Organizing Maps for Regression of Soil Moisture with Hyperspectral Data,” in 2018 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Valencia, Spain, 2018,

description

Hyperspectral and soil-moisture data from a field campaign based on a soil sample. Karlsruhe (Germany), 2017

259. Fia south-dakota, SD

name

fia-south-dakota

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

260. Test data raster bio1

name

sample-hdf

reference

N/A

citation

N/A

description

Test data sampled from bioclim bio1

261. The US Forest Service, Forest Health Monitoring, West Virginia

name

forest-health-monitoring-westvirginia

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

262. White Clay Creek Stage, Streamflow or Discharge (1968-2014)

name

white-clay-creek-streamflow

reference

white-clay-creek-streamflow’s home link.

citation

Continuous streamflow data collected by Stroud Water Research Center

description

Continuous streamflow data collected by the Stroud Water Research Center within the 3rd-order research watershed, White Clay Creek above McCue Road.

263. Virgin Islands National Park, Coral Reef, Population Dynamics: Scleractinian corals

name

virgin-islands-coral-yawzi-transects

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

Edmunds P. 2019. Virgin Islands National Park: Coral Reef: Population Dynamics: Scleractinian corals. Environmental Data Initiative. https://doi.org/10.6073/pasta/8e0b03fdc567b91aa2edc6e875291ff7. Dataset accessed 10/10/2019

description

Population Dynamics of Scleractinian Corals, Coral Time-Series Data from St John and St Thomas Islands, http://coralreefs.csun.edu/legal/use-policy/

264. Fia new-hampshire, NH

name

fia-new-hampshire

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

265. The USA MTBS Burn Area Boundary

name

mtbs-burn-area-boundary

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20190826. MTBS Burn Area Boundary: MTBS Burn Area Boundary. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_BURN_AREA_BOUNDARY.xml.

description

The Monitoring Trends in Burn Severity (MTBS) project assesses the frequency, extent, and magnitude (size and severity)

266. The US Forest Service, Forest Health Monitoring, Nevada

name

forest-health-monitoring-nevada

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

267. The US Forest Service, Forest Health Monitoring, New York

name

forest-health-monitoring-newyork

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

268. The US Forest Service, Forest Health Monitoring, New Hampshire

name

forest-health-monitoring-newhampshire

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

269. Land Grab Universities

name

land-grab-universities

reference

https://github.com/HCN-Digital-Projects/landgrabu-data

citation

Robert Lee, “Morrill Act of 1862 Indigenous Land Parcels Database,” High Country News, March 2020.

description

Expropriated Indigenous land by land grant university system.

270. BUILDBPS: Facilities and educational data for boston public schools

name

boston-buildbps

reference

boston-buildbps’s home link.

citation

description

Boston, BuildBPS compiles data that can be used to guide and inform decisions related to school building investments

271. The USA MTBS Fire Occurrence Points

name

mtbs-fire-occurrence

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20190826. MTBS Fire Occurrence Points: MTBS Fire Occurrence Points. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.MTBS_FIRE_OCCURRENCE_PT.xml.

description

Monitoring Trends in Burn Severity Project

272. Virgin Islands National Park, Geography of Sites

name

virgin-islands-coral-geography

reference

http://coralreefs.csun.edu/data/data-catalogue/

citation

N/A

description

This is a reference dataset containing the site locations, year established, and types of surveys, http://coralreefs.csun.edu/legal/use-policy/

273. Foundation Foods

name

usda-mafcl-fooddatacenteral-foundationfoods

reference

usda-mafcl-fooddatacenteral-foundationfoods’s home link.

citation

U.S. Department of Agriculture, Agricultural Research Service. FoodData Central, 2019. fdc.nal.usda.gov

description

The data includes nutrient and food component values on a diverse range of ingredient and commodity foods.

274. Fia delaware, DE

name

fia-delaware

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

275. Christina River Basin - Stream Water Chemistry (1977-2017)

name

white-clay-creek-christina-chemistry

reference

FILL

citation

Kaplan, L. A.; Newbold, J. D.; Aufdenkampe, A. K.; Anderson, B. A.; Damiano, S.G. (2013). Christina River Basin - Stream Water Chemistry (1977-2010). Stroud Water Research Center.

description

Stream Chemistry data collected by Stroud Water Research Center

276. Fia arizona, AZ

name

fia-arizona

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

277. Fia alaska, AK

name

fia-alaska

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

278. Fire Occurrence FIRESTAT yearly

name

fire-occurrence-firestat-yearly

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20210407. FIRESTAT Fire Occurrence - Yearly Update: Fire Occurrence FIRESTAT yearly. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Fire_Occurrence_FIRESTAT_YRLY.xml.

description

The FIRESTAT (Fire Statistics System) Fire Occurrence point layer represents ignition points, or points of origin, from which individual wildland fires started on National Forest System lands

279. Dissolved organic carbon concentrations in White Clay Creek, Pennsylvania, 1977-2017

name

white-clay-dissolved-carbon

reference

https://portal.edirepository.org/nis/mapbrowse?packageid=edi.386.1

citation

Kaplan L. A. 2019. Dissolved organic carbon concentrations in White Clay Creek, Pennsylvania, 1977-2017. Environmental Data Initiative. https://doi.org/10.6073/pasta/60deae3675ff30109bf7a35cceaf719d. Dataset accessed 10/15/2019.

description

The data is of dissolved organic carbon concentrations were measured over a period of 4 decades in a 3rd-order reach of White Clay Creek, a stream with a forested riparian zone in the Southeastern Pennsylvania Piedmont

280. Fia indiana, IN

name

fia-indiana

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

281. Fia oregon, OR

name

fia-oregon

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

282. Fia texas, TX

name

fia-texas

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

283. The US Forest Service, Forest Health Monitoring, Rhode Island

name

forest-health-monitoring-rhodeisland

reference

https://www.fia.fs.fed.us/tools-data/other_data/index.php

citation

description

The USDA Forest Service, Forest Health Monitoring (FHM) is a national program designed to determine the status, changes, and trends in indicators of forest condition on an annual basis.

284. coronavirus-belgium

name

coronavirus-belgium

reference

https://epistat.wiv-isp.be/covid/

citation

description

Dataset of COVID-19 in Belgium

285. WorldClim variables WorldClim version 2 at 5 minutes

name

worldclim-five

reference

http://worldclim.org/version2

citation

Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.

description

WorldClim variables at 5 minutes, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

286. The USA Activity SilvicultureReforestation.

name

usa-activity-silvreforestation

reference

https://data.fs.usda.gov/geodata/edw/datasets.php

citation

United States Department of Agriculture - Forest Service. 20210407. Activity SilvicultureReforestation: S_USA.SilvReforestation. https://data.fs.usda.gov/geodata/edw/edw_resources/meta/S_USA.Activity_SilvReforestation.xml.

description

The SilvReforestation feature class represents activities associated with the following performance measure: Forest Vegetation Establishment (Planting, Seeding, Site Preparation for Natural Regeneration and Certification of Natural Regeneration without Site Preparation).

287. Fia new-york, NY

name

fia-new-york

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

288. Fia ohio, OH

name

fia-ohio

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

289. Fia washington, WA

name

fia-washington

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

290. Nova Scotia Detailed Soil Survey

name

nova-scotia-detailed-soil-survey

reference

https://open.canada.ca/data/en/dataset/083534ca-d5b0-46f5-b540-f3a706dbc2de

citation

description

The Nova Scotia Detailed Soil Survey dataset series at a scale of 1:50 000 consists of geo-referenced soil polygons with linkages to attribute data found in the associated Component File (CMP), Soil Names File (SNF) and Soil Layer File (SLF).

291. 30 seconds WorldClim variables for WorldClim version 2

name

worldclim-thirty

reference

http://worldclim.org/version2

citation

Fick, S.E. and R.J. Hijmans, 2017. Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology.

description

WorldClim variables at 30 seconds, minimum temperature (°C), maximum temperature (°C), precipitation (mm), solar radiation (kJ m-2 day-1), wind speed (m s-1), water vapor pressure (kPa), Bioclimatic variables

292. Fia alabama, AL

name

fia-alabama

reference

https://www.fia.fs.fed.us/

citation

June 20, 2019. Forest Inventory and Analysis Database, St. Paul, MN: U.S. Department of Agriculture, Forest Service, Northern Research Station

description

The Forest Inventory and Analysis (FIA) Program of the U.S.

293. Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28

name

usda-mafcl-standard-reference

reference

usda-mafcl-standard-reference’s home link.

citation

US Department of Agriculture, Agricultural Research Service. 2016. Nutrient Data Laboratory. USDA National Nutrient Database for Standard Reference, Release 28 (Slightly revised). Version Current: May 2016. http://www.ars.usda.gov/nea/bhnrc/mafcl

description

The dataset contains nutrient data for Standard Reference

294. U.S. Department of Agriculture’s PLANTS Database

name

usda-agriculture-plants-database

reference

https://plants.sc.egov.usda.gov/download.html

citation

description

U.S. Department of Agriculture’s PLANTS Database

APIs Available

Socrata API

Total number of datasets supported : 85,244 out of 213,965

Rdatasets

1. Fair’s Extramarital Affairs Data

name

rdataset-aer-affairs

reference

rdataset-aer-affairs’s home link.

R package

aer

R Dataset

affairs

2. Consumer Price Index in Argentina

name

rdataset-aer-argentinacpi

reference

rdataset-aer-argentinacpi’s home link.

R package

aer

R Dataset

argentinacpi

3. Bank Wages

name

rdataset-aer-bankwages

reference

rdataset-aer-bankwages’s home link.

R package

aer

R Dataset

bankwages

4. Benderly and Zwick Data: Inflation, Growth and Stock Returns

name

rdataset-aer-benderlyzwick

reference

rdataset-aer-benderlyzwick’s home link.

R package

aer

R Dataset

benderlyzwick

5. Bond Yield Data

name

rdataset-aer-bondyield

reference

rdataset-aer-bondyield’s home link.

R package

aer

R Dataset

bondyield

6. CartelStability

name

rdataset-aer-cartelstability

reference

rdataset-aer-cartelstability’s home link.

R package

aer

R Dataset

cartelstability

7. California Test Score Data

name

rdataset-aer-caschools

reference

rdataset-aer-caschools’s home link.

R package

aer

R Dataset

caschools

8. Chinese Real National Income Data

name

rdataset-aer-chinaincome

reference

rdataset-aer-chinaincome’s home link.

R package

aer

R Dataset

chinaincome

9. Cigarette Consumption Data

name

rdataset-aer-cigarettesb

reference

rdataset-aer-cigarettesb’s home link.

R package

aer

R Dataset

cigarettesb

10. Cigarette Consumption Panel Data

name

rdataset-aer-cigarettessw

reference

rdataset-aer-cigarettessw’s home link.

R package

aer

R Dataset

cigarettessw

11. College Distance Data

name

rdataset-aer-collegedistance

reference

rdataset-aer-collegedistance’s home link.

R package

aer

R Dataset

collegedistance

12. Properties of a Fast-Moving Consumer Good

name

rdataset-aer-consumergood

reference

rdataset-aer-consumergood’s home link.

R package

aer

R Dataset

consumergood

13. Determinants of Wages Data (CPS 1985)

name

rdataset-aer-cps1985

reference

rdataset-aer-cps1985’s home link.

R package

aer

R Dataset

cps1985

14. Determinants of Wages Data (CPS 1988)

name

rdataset-aer-cps1988

reference

rdataset-aer-cps1988’s home link.

R package

aer

R Dataset

cps1988

15. Stock and Watson CPS Data Sets

name

rdataset-aer-cpssw04

reference

rdataset-aer-cpssw04’s home link.

R package

aer

R Dataset

cpssw04

16. Stock and Watson CPS Data Sets

name

rdataset-aer-cpssw3

reference

rdataset-aer-cpssw3’s home link.

R package

aer

R Dataset

cpssw3

17. Stock and Watson CPS Data Sets

name

rdataset-aer-cpssw8

reference

rdataset-aer-cpssw8’s home link.

R package

aer

R Dataset

cpssw8

18. Stock and Watson CPS Data Sets

name

rdataset-aer-cpssw9204

reference

rdataset-aer-cpssw9204’s home link.

R package

aer

R Dataset

cpssw9204

19. Stock and Watson CPS Data Sets

name

rdataset-aer-cpssw9298

reference

rdataset-aer-cpssw9298’s home link.

R package

aer

R Dataset

cpssw9298

20. Stock and Watson CPS Data Sets

name

rdataset-aer-cpssweducation

reference

rdataset-aer-cpssweducation’s home link.

R package

aer

R Dataset

cpssweducation

21. Expenditure and Default Data

name

rdataset-aer-creditcard

reference

rdataset-aer-creditcard’s home link.

R package

aer

R Dataset

creditcard

22. Dow Jones Index Data (Franses)

name

rdataset-aer-djfranses

reference

rdataset-aer-djfranses’s home link.

R package

aer

R Dataset

djfranses

23. Dow Jones Industrial Average (DJIA) index

name

rdataset-aer-djia8012

reference

rdataset-aer-djia8012’s home link.

R package

aer

R Dataset

djia8012

24. Australian Health Service Utilization Data

name

rdataset-aer-doctorvisits

reference

rdataset-aer-doctorvisits’s home link.

R package

aer

R Dataset

doctorvisits

25. TV and Radio Advertising Expenditures Data

name

rdataset-aer-dutchadvert

reference

rdataset-aer-dutchadvert’s home link.

R package

aer

R Dataset

dutchadvert

26. Dutch Retail Sales Index Data

name

rdataset-aer-dutchsales

reference

rdataset-aer-dutchsales’s home link.

R package

aer

R Dataset

dutchsales

27. Cost Function of Electricity Producers (1955, Nerlove Data)

name

rdataset-aer-electricity1955

reference

rdataset-aer-electricity1955’s home link.

R package

aer

R Dataset

electricity1955

28. Cost Function of Electricity Producers 1970

name

rdataset-aer-electricity1970

reference

rdataset-aer-electricity1970’s home link.

R package

aer

R Dataset

electricity1970

29. Number of Equations and Citations for Evolutionary Biology Publications

name

rdataset-aer-equationcitations

reference

rdataset-aer-equationcitations’s home link.

R package

aer

R Dataset

equationcitations

30. Transportation Equipment Manufacturing Data

name

rdataset-aer-equipment

reference

rdataset-aer-equipment’s home link.

R package

aer

R Dataset

equipment

31. European Energy Consumption Data

name

rdataset-aer-euroenergy

reference

rdataset-aer-euroenergy’s home link.

R package

aer

R Dataset

euroenergy

32. US Traffic Fatalities

name

rdataset-aer-fatalities

reference

rdataset-aer-fatalities’s home link.

R package

aer

R Dataset

fatalities

33. Fertility and Women’s Labor Supply

name

rdataset-aer-fertility

reference

rdataset-aer-fertility’s home link.

R package

aer

R Dataset

fertility

34. Fertility and Women’s Labor Supply

name

rdataset-aer-fertility2

reference

rdataset-aer-fertility2’s home link.

R package

aer

R Dataset

fertility2

35. Price of Frozen Orange Juice

name

rdataset-aer-frozenjuice

reference

rdataset-aer-frozenjuice’s home link.

R package

aer

R Dataset

frozenjuice

36. Unemployment in Germany Data

name

rdataset-aer-germanunemployment

reference

rdataset-aer-germanunemployment’s home link.

R package

aer

R Dataset

germanunemployment

37. Gold and Silver Prices

name

rdataset-aer-goldsilver

reference

rdataset-aer-goldsilver’s home link.

R package

aer

R Dataset

goldsilver

38. Determinants of Economic Growth

name

rdataset-aer-growthdj

reference

rdataset-aer-growthdj’s home link.

R package

aer

R Dataset

growthdj

39. Determinants of Economic Growth

name

rdataset-aer-growthsw

reference

rdataset-aer-growthsw’s home link.

R package

aer

R Dataset

growthsw

40. Grunfeld’s Investment Data

name

rdataset-aer-grunfeld

reference

rdataset-aer-grunfeld’s home link.

R package

aer

R Dataset

grunfeld

41. German Socio-Economic Panel 1994-2002

name

rdataset-aer-gsoep9402

reference

rdataset-aer-gsoep9402’s home link.

R package

aer

R Dataset

gsoep9402

42. US General Social Survey 1974-2002

name

rdataset-aer-gss7402

reference

rdataset-aer-gss7402’s home link.

R package

aer

R Dataset

gss7402

43. More Guns, Less Crime?

name

rdataset-aer-guns

reference

rdataset-aer-guns’s home link.

R package

aer

R Dataset

guns

44. Medical Expenditure Panel Survey Data

name

rdataset-aer-healthinsurance

reference

rdataset-aer-healthinsurance’s home link.

R package

aer

R Dataset

healthinsurance

45. Home Mortgage Disclosure Act Data

name

rdataset-aer-hmda

reference

rdataset-aer-hmda’s home link.

R package

aer

R Dataset

hmda

46. House Prices in the City of Windsor, Canada

name

rdataset-aer-houseprices

reference

rdataset-aer-houseprices’s home link.

R package

aer

R Dataset

houseprices

47. Economics Journal Subscription Data

name

rdataset-aer-journals

reference

rdataset-aer-journals’s home link.

R package

aer

R Dataset

journals

48. Klein Model I

name

rdataset-aer-kleini

reference

rdataset-aer-kleini’s home link.

R package

aer

R Dataset

kleini

49. Longley’s Regression Data

name

rdataset-aer-longley

reference

rdataset-aer-longley’s home link.

R package

aer

R Dataset

longley

50. Manufacturing Costs Data

name

rdataset-aer-manufactcosts

reference

rdataset-aer-manufactcosts’s home link.

R package

aer

R Dataset

manufactcosts

51. DEM/USD Exchange Rate Returns

name

rdataset-aer-markdollar

reference

rdataset-aer-markdollar’s home link.

R package

aer

R Dataset

markdollar

52. DEM/GBP Exchange Rate Returns

name

rdataset-aer-markpound

reference

rdataset-aer-markpound’s home link.

R package

aer

R Dataset

markpound

53. Massachusetts Test Score Data

name

rdataset-aer-maschools

reference

rdataset-aer-maschools’s home link.

R package

aer

R Dataset

maschools

54. Medicaid Utilization Data

name

rdataset-aer-medicaid1986

reference

rdataset-aer-medicaid1986’s home link.

R package

aer

R Dataset

medicaid1986

55. Fixed versus Adjustable Mortgages

name

rdataset-aer-mortgage

reference

rdataset-aer-mortgage’s home link.

R package

aer

R Dataset

mortgage

56. Motor Cycles in The Netherlands

name

rdataset-aer-motorcycles

reference

rdataset-aer-motorcycles’s home link.

R package

aer

R Dataset

motorcycles

57. Motor Cycles in The Netherlands

name

rdataset-aer-motorcycles2

reference

rdataset-aer-motorcycles2’s home link.

R package

aer

R Dataset

motorcycles2

58. MSCI Switzerland Index

name

rdataset-aer-msciswitzerland

reference

rdataset-aer-msciswitzerland’s home link.

R package

aer

R Dataset

msciswitzerland

59. Municipal Expenditure Data

name

rdataset-aer-municipalities

reference

rdataset-aer-municipalities’s home link.

R package

aer

R Dataset

municipalities

60. Determinants of Murder Rates in the United States

name

rdataset-aer-murderrates

reference

rdataset-aer-murderrates’s home link.

R package

aer

R Dataset

murderrates

61. Natural Gas Data

name

rdataset-aer-naturalgas

reference

rdataset-aer-naturalgas’s home link.

R package

aer

R Dataset

naturalgas

62. Demand for Medical Care in NMES 1988

name

rdataset-aer-nmes1988

reference

rdataset-aer-nmes1988’s home link.

R package

aer

R Dataset

nmes1988

63. Daily NYSE Composite Index

name

rdataset-aer-nysesw

reference

rdataset-aer-nysesw’s home link.

R package

aer

R Dataset

nysesw

64. Gasoline Consumption Data

name

rdataset-aer-oecdgas

reference

rdataset-aer-oecdgas’s home link.

R package

aer

R Dataset

oecdgas

65. OECD Macroeconomic Data

name

rdataset-aer-oecdgrowth

reference

rdataset-aer-oecdgrowth’s home link.

R package

aer

R Dataset

oecdgrowth

66. Television Rights for Olympic Games

name

rdataset-aer-olympictv

reference

rdataset-aer-olympictv’s home link.

R package

aer

R Dataset

olympictv

67. Orange County Employment

name

rdataset-aer-orangecounty

reference

rdataset-aer-orangecounty’s home link.

R package

aer

R Dataset

orangecounty

68. Parade Magazine 2005 Earnings Data

name

rdataset-aer-parade2005

reference

rdataset-aer-parade2005’s home link.

R package

aer

R Dataset

parade2005

69. Black and White Pepper Prices

name

rdataset-aer-pepperprice

reference

rdataset-aer-pepperprice’s home link.

R package

aer

R Dataset

pepperprice

70. Doctoral Publications

name

rdataset-aer-phdpublications

reference

rdataset-aer-phdpublications’s home link.

R package

aer

R Dataset

phdpublications

71. Program Effectiveness Data

name

rdataset-aer-programeffectiveness

reference

rdataset-aer-programeffectiveness’s home link.

R package

aer

R Dataset

programeffectiveness

72. Labor Force Participation Data

name

rdataset-aer-psid1976

reference

rdataset-aer-psid1976’s home link.

R package

aer

R Dataset

psid1976

73. PSID Earnings Data 1982

name

rdataset-aer-psid1982

reference

rdataset-aer-psid1982’s home link.

R package

aer

R Dataset

psid1982

74. PSID Earnings Panel Data (1976-1982)

name

rdataset-aer-psid7682

reference

rdataset-aer-psid7682’s home link.

R package

aer

R Dataset

psid7682

75. Recreation Demand Data

name

rdataset-aer-recreationdemand

reference

rdataset-aer-recreationdemand’s home link.

R package

aer

R Dataset

recreationdemand

76. Are Emily and Greg More Employable Than Lakisha and Jamal?

name

rdataset-aer-resumenames

reference

rdataset-aer-resumenames’s home link.

R package

aer

R Dataset

resumenames

77. Ship Accidents

name

rdataset-aer-shipaccidents

reference

rdataset-aer-shipaccidents’s home link.

R package

aer

R Dataset

shipaccidents

78. SIC33 Production Data

name

rdataset-aer-sic33

reference

rdataset-aer-sic33’s home link.

R package

aer

R Dataset

sic33

79. Do Workplace Smoking Bans Reduce Smoking?

name

rdataset-aer-smokeban

reference

rdataset-aer-smokeban’s home link.

R package

aer

R Dataset

smokeban

80. Endowment Effect for Sports Cards

name

rdataset-aer-sportscards

reference

rdataset-aer-sportscards’s home link.

R package

aer

R Dataset

sportscards

81. Project STAR: Student-Teacher Achievement Ratio

name

rdataset-aer-star

reference

rdataset-aer-star’s home link.

R package

aer

R Dataset

star

82. Strike Durations

name

rdataset-aer-strikeduration

reference

rdataset-aer-strikeduration’s home link.

R package

aer

R Dataset

strikeduration

83. Swiss Labor Market Participation Data

name

rdataset-aer-swisslabor

reference

rdataset-aer-swisslabor’s home link.

R package

aer

R Dataset

swisslabor

84. Impact of Beauty on Instructor’s Teaching Ratings

name

rdataset-aer-teachingratings

reference

rdataset-aer-teachingratings’s home link.

R package

aer

R Dataset

teachingratings

85. Technological Change Data

name

rdataset-aer-techchange

reference

rdataset-aer-techchange’s home link.

R package

aer

R Dataset

techchange

86. Trade Credit and the Money Market

name

rdataset-aer-tradecredit

reference

rdataset-aer-tradecredit’s home link.

R package

aer

R Dataset

tradecredit

87. Travel Mode Choice Data

name

rdataset-aer-travelmode

reference

rdataset-aer-travelmode’s home link.

R package

aer

R Dataset

travelmode

88. UK Manufacturing Inflation Data

name

rdataset-aer-ukinflation

reference

rdataset-aer-ukinflation’s home link.

R package

aer

R Dataset

ukinflation

89. Consumption of Non-Durables in the UK

name

rdataset-aer-uknondurables

reference

rdataset-aer-uknondurables’s home link.

R package

aer

R Dataset

uknondurables

90. Cost Data for US Airlines

name

rdataset-aer-usairlines

reference

rdataset-aer-usairlines’s home link.

R package

aer

R Dataset

usairlines

91. US Consumption Data (1940-1950)

name

rdataset-aer-usconsump1950

reference

rdataset-aer-usconsump1950’s home link.

R package

aer

R Dataset

usconsump1950

92. US Consumption Data (1970-1979)

name

rdataset-aer-usconsump1979

reference

rdataset-aer-usconsump1979’s home link.

R package

aer

R Dataset

usconsump1979

93. US Consumption Data (1950-1993)

name

rdataset-aer-usconsump1993

reference

rdataset-aer-usconsump1993’s home link.

R package

aer

R Dataset

usconsump1993

94. US Crudes Data

name

rdataset-aer-uscrudes

reference

rdataset-aer-uscrudes’s home link.

R package

aer

R Dataset

uscrudes

95. US Gasoline Market Data (1950-1987, Baltagi)

name

rdataset-aer-usgasb

reference

rdataset-aer-usgasb’s home link.

R package

aer

R Dataset

usgasb

96. US Gasoline Market Data (1960-1995, Greene)

name

rdataset-aer-usgasg

reference

rdataset-aer-usgasg’s home link.

R package

aer

R Dataset

usgasg

97. US Investment Data

name

rdataset-aer-usinvest

reference

rdataset-aer-usinvest’s home link.

R package

aer

R Dataset

usinvest

98. US Macroeconomic Data (1959-1995, Baltagi)

name

rdataset-aer-usmacrob

reference

rdataset-aer-usmacrob’s home link.

R package

aer

R Dataset

usmacrob

99. US Macroeconomic Data (1950-2000, Greene)

name

rdataset-aer-usmacrog

reference

rdataset-aer-usmacrog’s home link.

R package

aer

R Dataset

usmacrog

100. US Macroeconomic Data (1957-2005, Stock & Watson)

name

rdataset-aer-usmacrosw

reference

rdataset-aer-usmacrosw’s home link.

R package

aer

R Dataset

usmacrosw

101. Monthly US Macroeconomic Data (1947-2004, Stock & Watson)

name

rdataset-aer-usmacroswm

reference

rdataset-aer-usmacroswm’s home link.

R package

aer

R Dataset

usmacroswm

102. Quarterly US Macroeconomic Data (1947-2004, Stock & Watson)

name

rdataset-aer-usmacroswq

reference

rdataset-aer-usmacroswq’s home link.

R package

aer

R Dataset

usmacroswq

103. USMoney

name

rdataset-aer-usmoney

reference

rdataset-aer-usmoney’s home link.

R package

aer

R Dataset

usmoney

104. Index of US Industrial Production

name

rdataset-aer-usprodindex

reference

rdataset-aer-usprodindex’s home link.

R package

aer

R Dataset

usprodindex

105. Effects of Mandatory Seat Belt Laws in the US

name

rdataset-aer-usseatbelts

reference

rdataset-aer-usseatbelts’s home link.

R package

aer

R Dataset

usseatbelts

106. Monthly US Stock Returns (1931-2002, Stock & Watson)

name

rdataset-aer-usstockssw

reference

rdataset-aer-usstockssw’s home link.

R package

aer

R Dataset

usstockssw

107. Artificial Weak Instrument Data

name

rdataset-aer-weakinstrument

reference

rdataset-aer-weakinstrument’s home link.

R package

aer

R Dataset

weakinstrument

108. Antibiotics against Shipping Fever in Calves

name

rdataset-aod-antibio

reference

rdataset-aod-antibio’s home link.

R package

aod

R Dataset

antibio

109. Age, Period and Cohort Effects for Vital Rates

name

rdataset-aod-cohorts

reference

rdataset-aod-cohorts’s home link.

R package

aod

R Dataset

cohorts

110. Mortality of Djallonke Lambs in Senegal

name

rdataset-aod-dja

reference

rdataset-aod-dja’s home link.

R package

aod

R Dataset

dja

111. A Comparison of Site Preferences of Two Species of Lizard

name

rdataset-aod-lizards

reference

rdataset-aod-lizards’s home link.

R package

aod

R Dataset

lizards

112. Pregnant Female Mice Experiment

name

rdataset-aod-mice

reference

rdataset-aod-mice’s home link.

R package

aod

R Dataset

mice

113. Germination Data

name

rdataset-aod-orob1

reference

rdataset-aod-orob1’s home link.

R package

aod

R Dataset

orob1

114. Germination Data

name

rdataset-aod-orob2

reference

rdataset-aod-orob2’s home link.

R package

aod

R Dataset

orob2

115. Rabbits Foetuses Survival Experiment

name

rdataset-aod-rabbits

reference

rdataset-aod-rabbits’s home link.

R package

aod

R Dataset

rabbits

116. Rats Diet Experiment

name

rdataset-aod-rats

reference

rdataset-aod-rats’s home link.

R package

aod

R Dataset

rats

117. Salmonella Reverse Mutagenicity Assay

name

rdataset-aod-salmonella

reference

rdataset-aod-salmonella’s home link.

R package

aod

R Dataset

salmonella

118. ashkenazi

name

rdataset-asaur-ashkenazi

reference

rdataset-asaur-ashkenazi’s home link.

R package

asaur

R Dataset

ashkenazi

119. Channing House Data

name

rdataset-asaur-channinghouse

reference

rdataset-asaur-channinghouse’s home link.

R package

asaur

R Dataset

channinghouse

120. gasticXelox

name

rdataset-asaur-gastricxelox

reference

rdataset-asaur-gastricxelox’s home link.

R package

asaur

R Dataset

gastricxelox

121. hepatoCellular

name

rdataset-asaur-hepatocellular

reference

rdataset-asaur-hepatocellular’s home link.

R package

asaur

R Dataset

hepatocellular

122. pancreatic

name

rdataset-asaur-pancreatic

reference

rdataset-asaur-pancreatic’s home link.

R package

asaur

R Dataset

pancreatic

123. pancreatic2

name

rdataset-asaur-pancreatic2

reference

rdataset-asaur-pancreatic2’s home link.

R package

asaur

R Dataset

pancreatic2

124. pharmacoSmoking

name

rdataset-asaur-pharmacosmoking

reference

rdataset-asaur-pharmacosmoking’s home link.

R package

asaur

R Dataset

pharmacosmoking

125. prostateSurvival

name

rdataset-asaur-prostatesurvival

reference

rdataset-asaur-prostatesurvival’s home link.

R package

asaur

R Dataset

prostatesurvival

126. Bakers

name

rdataset-bakeoff-bakers (data)

reference

rdataset-bakeoff-bakers (data)’s home link.

R package

bakeoff

R Dataset

bakers (data)

127. Bakers (raw)

name

rdataset-bakeoff-bakers_raw (data)

reference

rdataset-bakeoff-bakers_raw (data)’s home link.

R package

bakeoff

R Dataset

bakers_raw (data)

128. Bakes (raw)

name

rdataset-bakeoff-bakes_raw (data)

reference

rdataset-bakeoff-bakes_raw (data)’s home link.

R package

bakeoff

R Dataset

bakes_raw (data)

129. Challenges

name

rdataset-bakeoff-challenges (data)

reference

rdataset-bakeoff-challenges (data)’s home link.

R package

bakeoff

R Dataset

challenges (data)

130. Episodes

name

rdataset-bakeoff-episodes (data)

reference

rdataset-bakeoff-episodes (data)’s home link.

R package

bakeoff

R Dataset

episodes (data)

131. Each episodes’ challenges (raw)

name

rdataset-bakeoff-episodes_raw (data)

reference

rdataset-bakeoff-episodes_raw (data)’s home link.

R package

bakeoff

R Dataset

episodes_raw (data)

132. Ratings

name

rdataset-bakeoff-ratings (data)

reference

rdataset-bakeoff-ratings (data)’s home link.

R package

bakeoff

R Dataset

ratings (data)

133. Each episode’s ratings (raw)

name

rdataset-bakeoff-ratings_raw (data)

reference

rdataset-bakeoff-ratings_raw (data)’s home link.

R package

bakeoff

R Dataset

ratings_raw (data)

134. Each baker’s results by episode (raw)

name

rdataset-bakeoff-results_raw (data)

reference

rdataset-bakeoff-results_raw (data)’s home link.

R package

bakeoff

R Dataset

results_raw (data)

135. Data about each season aired in the US (raw)

name

rdataset-bakeoff-seasons_raw (data)

reference

rdataset-bakeoff-seasons_raw (data)’s home link.

R package

bakeoff

R Dataset

seasons_raw (data)

136. Data about each series aired in the UK (raw)

name

rdataset-bakeoff-series_raw (data)

reference

rdataset-bakeoff-series_raw (data)’s home link.

R package

bakeoff

R Dataset

series_raw (data)

137. Spice Test

name

rdataset-bakeoff-spice_test_wide (data)

reference

rdataset-bakeoff-spice_test_wide (data)’s home link.

R package

bakeoff

R Dataset

spice_test_wide (data)

138. Partition-primed Probability Judgement Task for Car Dealership

name

rdataset-betareg-cartask

reference

rdataset-betareg-cartask’s home link.

R package

betareg

R Dataset

cartask

139. Proportion of Household Income Spent on Food

name

rdataset-betareg-foodexpenditure

reference

rdataset-betareg-foodexpenditure’s home link.

R package

betareg

R Dataset

foodexpenditure

140. Estimation of Gasoline Yields from Crude Oil

name

rdataset-betareg-gasolineyield

reference

rdataset-betareg-gasolineyield’s home link.

R package

betareg

R Dataset

gasolineyield

141. Imprecise Probabilities for Sunday Weather and Boeing Stock Task

name

rdataset-betareg-imprecisetask

reference

rdataset-betareg-imprecisetask’s home link.

R package

betareg

R Dataset

imprecisetask

142. Confidence of Mock Jurors in Their Verdicts

name

rdataset-betareg-mockjurors

reference

rdataset-betareg-mockjurors’s home link.

R package

betareg

R Dataset

mockjurors

143. Dyslexia and IQ Predicting Reading Accuracy

name

rdataset-betareg-readingskills

reference

rdataset-betareg-readingskills’s home link.

R package

betareg

R Dataset

readingskills

144. Dependency of Anxiety on Stress

name

rdataset-betareg-stressanxiety

reference

rdataset-betareg-stressanxiety’s home link.

R package

betareg

R Dataset

stressanxiety

145. Weather Task With Priming and Precise and Imprecise Probabilities

name

rdataset-betareg-weathertask

reference

rdataset-betareg-weathertask’s home link.

R package

betareg

R Dataset

weathertask

146. Monthly Excess Returns

name

rdataset-boot-acme

reference

rdataset-boot-acme’s home link.

R package

boot

R Dataset

acme

147. Delay in AIDS Reporting in England and Wales

name

rdataset-boot-aids

reference

rdataset-boot-aids’s home link.

R package

boot

R Dataset

aids

148. Failures of Air-conditioning Equipment

name

rdataset-boot-aircondit

reference

rdataset-boot-aircondit’s home link.

R package

boot

R Dataset

aircondit

149. Failures of Air-conditioning Equipment

name

rdataset-boot-aircondit7

reference

rdataset-boot-aircondit7’s home link.

R package

boot

R Dataset

aircondit7

150. Car Speeding and Warning Signs

name

rdataset-boot-amis

reference

rdataset-boot-amis’s home link.

R package

boot

R Dataset

amis

151. Remission Times for Acute Myelogenous Leukaemia

name

rdataset-boot-aml

reference

rdataset-boot-aml’s home link.

R package

boot

R Dataset

aml

152. Beaver Body Temperature Data

name

rdataset-boot-beaver

reference

rdataset-boot-beaver’s home link.

R package

boot

R Dataset

beaver

153. Population of U.S. Cities

name

rdataset-boot-bigcity

reference

rdataset-boot-bigcity’s home link.

R package

boot

R Dataset

bigcity

154. Spatial Location of Bramble Canes

name

rdataset-boot-brambles

reference

rdataset-boot-brambles’s home link.

R package

boot

R Dataset

brambles

155. Smoking Deaths Among Doctors

name

rdataset-boot-breslow

reference

rdataset-boot-breslow’s home link.

R package

boot

R Dataset

breslow

156. Calcium Uptake Data

name

rdataset-boot-calcium

reference

rdataset-boot-calcium’s home link.

R package

boot

R Dataset

calcium

157. Sugar-cane Disease Data

name

rdataset-boot-cane

reference

rdataset-boot-cane’s home link.

R package

boot

R Dataset

cane

158. Simulated Manufacturing Process Data

name

rdataset-boot-capability

reference

rdataset-boot-capability’s home link.

R package

boot

R Dataset

capability

159. Weight Data for Domestic Cats

name

rdataset-boot-catsm

reference

rdataset-boot-catsm’s home link.

R package

boot

R Dataset

catsm

160. Position of Muscle Caveolae

name

rdataset-boot-cav

reference

rdataset-boot-cav’s home link.

R package

boot

R Dataset

cav

161. CD4 Counts for HIV-Positive Patients

name

rdataset-boot-cd4

reference

rdataset-boot-cd4’s home link.

R package

boot

R Dataset

cd4

162. Channing House Data

name

rdataset-boot-channing

reference

rdataset-boot-channing’s home link.

R package

boot

R Dataset

channing

163. Population of U.S. Cities

name

rdataset-boot-city

reference

rdataset-boot-city’s home link.

R package

boot

R Dataset

city

164. Genetic Links to Left-handedness

name

rdataset-boot-claridge

reference

rdataset-boot-claridge’s home link.

R package

boot

R Dataset

claridge

165. Number of Flaws in Cloth

name

rdataset-boot-cloth

reference

rdataset-boot-cloth’s home link.

R package

boot

R Dataset

cloth

166. Carbon Monoxide Transfer

name

rdataset-boot-co.transfer

reference

rdataset-boot-co.transfer’s home link.

R package

boot

R Dataset

co.transfer

167. Dates of Coal Mining Disasters

name

rdataset-boot-coal

reference

rdataset-boot-coal’s home link.

R package

boot

R Dataset

coal

168. Darwin’s Plant Height Differences

name

rdataset-boot-darwin

reference

rdataset-boot-darwin’s home link.

R package

boot

R Dataset

darwin

169. Cardiac Data for Domestic Dogs

name

rdataset-boot-dogs

reference

rdataset-boot-dogs’s home link.

R package

boot

R Dataset

dogs

170. Incidence of Down’s Syndrome in British Columbia

name

rdataset-boot-downs.bc

reference

rdataset-boot-downs.bc’s home link.

R package

boot

R Dataset

downs.bc

171. Behavioral and Plumage Characteristics of Hybrid Ducks

name

rdataset-boot-ducks

reference

rdataset-boot-ducks’s home link.

R package

boot

R Dataset

ducks

172. Counts of Balsam-fir Seedlings

name

rdataset-boot-fir

reference

rdataset-boot-fir’s home link.

R package

boot

R Dataset

fir

173. Head Dimensions in Brothers

name

rdataset-boot-frets

reference

rdataset-boot-frets’s home link.

R package

boot

R Dataset

frets

174. Acceleration Due to Gravity

name

rdataset-boot-grav

reference

rdataset-boot-grav’s home link.

R package

boot

R Dataset

grav

175. Acceleration Due to Gravity

name

rdataset-boot-gravity

reference

rdataset-boot-gravity’s home link.

R package

boot

R Dataset

gravity

176. Failure Time of PET Film

name

rdataset-boot-hirose

reference

rdataset-boot-hirose’s home link.

R package

boot

R Dataset

hirose

177. Jura Quartzite Azimuths on Islay

name

rdataset-boot-islay

reference

rdataset-boot-islay’s home link.

R package

boot

R Dataset

islay

178. Average Heights of the Rio Negro river at Manaus

name

rdataset-boot-manaus

reference

rdataset-boot-manaus’s home link.

R package

boot

R Dataset

manaus

179. Survival from Malignant Melanoma

name

rdataset-boot-melanoma

reference

rdataset-boot-melanoma’s home link.

R package

boot

R Dataset

melanoma

180. Data from a Simulated Motorcycle Accident

name

rdataset-boot-motor

reference

rdataset-boot-motor’s home link.

R package

boot

R Dataset

motor

181. Neurophysiological Point Process Data

name

rdataset-boot-neuro

reference

rdataset-boot-neuro’s home link.

R package

boot

R Dataset

neuro

182. Toxicity of Nitrofen in Aquatic Systems

name

rdataset-boot-nitrofen

reference

rdataset-boot-nitrofen’s home link.

R package

boot

R Dataset

nitrofen

183. Nodal Involvement in Prostate Cancer

name

rdataset-boot-nodal

reference

rdataset-boot-nodal’s home link.

R package

boot

R Dataset

nodal

184. Nuclear Power Station Construction Data

name

rdataset-boot-nuclear

reference

rdataset-boot-nuclear’s home link.

R package

boot

R Dataset

nuclear

185. Neurotransmission in Guinea Pig Brains

name

rdataset-boot-paulsen

reference

rdataset-boot-paulsen’s home link.

R package

boot

R Dataset

paulsen

186. Animal Survival Times

name

rdataset-boot-poisons

reference

rdataset-boot-poisons’s home link.

R package

boot

R Dataset

poisons

187. Pole Positions of New Caledonian Laterites

name

rdataset-boot-polar

reference

rdataset-boot-polar’s home link.

R package

boot

R Dataset

polar

188. Cancer Remission and Cell Activity

name

rdataset-boot-remission

reference

rdataset-boot-remission’s home link.

R package

boot

R Dataset

remission

189. Water Salinity and River Discharge

name

rdataset-boot-salinity

reference

rdataset-boot-salinity’s home link.

R package

boot

R Dataset

salinity

190. Survival of Rats after Radiation Doses

name

rdataset-boot-survival

reference

rdataset-boot-survival’s home link.

R package

boot

R Dataset

survival

191. Tau Particle Decay Modes

name

rdataset-boot-tau

reference

rdataset-boot-tau’s home link.

R package

boot

R Dataset

tau

192. Tuna Sighting Data

name

rdataset-boot-tuna

reference

rdataset-boot-tuna’s home link.

R package

boot

R Dataset

tuna

193. Urine Analysis Data

name

rdataset-boot-urine

reference

rdataset-boot-urine’s home link.

R package

boot

R Dataset

urine

194. Australian Relative Wool Prices

name

rdataset-boot-wool

reference

rdataset-boot-wool’s home link.

R package

boot

R Dataset

wool

195. Experimenter Expectations

name

rdataset-cardata-adler

reference

rdataset-cardata-adler’s home link.

R package

cardata

R Dataset

adler

196. American Math Society Survey Data

name

rdataset-cardata-amssurvey

reference

rdataset-cardata-amssurvey’s home link.

R package

cardata

R Dataset

amssurvey

197. Moral Integration of American Cities

name

rdataset-cardata-angell

reference

rdataset-cardata-angell’s home link.

R package

cardata

R Dataset

angell

198. U. S. State Public-School Expenditures

name

rdataset-cardata-anscombe

reference

rdataset-cardata-anscombe’s home link.

R package

cardata

R Dataset

anscombe

199. Arrests for Marijuana Possession

name

rdataset-cardata-arrests

reference

rdataset-cardata-arrests’s home link.

R package

cardata

R Dataset

arrests

200. Methods of Teaching Reading Comprehension

name

rdataset-cardata-baumann

reference

rdataset-cardata-baumann’s home link.

R package

cardata

R Dataset

baumann

201. British Election Panel Study

name

rdataset-cardata-beps

reference

rdataset-cardata-beps’s home link.

R package

cardata

R Dataset

beps

202. Canadian Women’s Labour-Force Participation

name

rdataset-cardata-bfox

reference

rdataset-cardata-bfox’s home link.

R package

cardata

R Dataset

bfox

203. Exercise Histories of Eating-Disordered and Control Subjects

name

rdataset-cardata-blackmore

reference

rdataset-cardata-blackmore’s home link.

R package

cardata

R Dataset

blackmore

204. Fraudulent Data on IQs of Twins Raised Apart

name

rdataset-cardata-burt

reference

rdataset-cardata-burt’s home link.

R package

cardata

R Dataset

burt

205. Canadian Population Data

name

rdataset-cardata-canpop

reference

rdataset-cardata-canpop’s home link.

R package

cardata

R Dataset

canpop

206. 2011 Canadian National Election Study, With Attitude Toward Abortion

name

rdataset-cardata-ces11

reference

rdataset-cardata-ces11’s home link.

R package

cardata

R Dataset

ces11

207. Voting Intentions in the 1988 Chilean Plebiscite

name

rdataset-cardata-chile

reference

rdataset-cardata-chile’s home link.

R package

cardata

R Dataset

chile

208. The 1907 Romanian Peasant Rebellion

name

rdataset-cardata-chirot

reference

rdataset-cardata-chirot’s home link.

R package

cardata

R Dataset

chirot

209. Cowles and Davis’s Data on Volunteering

name

rdataset-cardata-cowles

reference

rdataset-cardata-cowles’s home link.

R package

cardata

R Dataset

cowles

210. Self-Reports of Height and Weight

name

rdataset-cardata-davis

reference

rdataset-cardata-davis’s home link.

R package

cardata

R Dataset

davis

211. Davis’s Data on Drive for Thinness

name

rdataset-cardata-davisthin

reference

rdataset-cardata-davisthin’s home link.

R package

cardata

R Dataset

davisthin

212. Minnesota Wolf Depredation Data

name

rdataset-cardata-depredations

reference

rdataset-cardata-depredations’s home link.

R package

cardata

R Dataset

depredations

213. Duncan’s Occupational Prestige Data

name

rdataset-cardata-duncan

reference

rdataset-cardata-duncan’s home link.

R package

cardata

R Dataset

duncan

214. The 1980 U.S. Census Undercount

name

rdataset-cardata-ericksen

reference

rdataset-cardata-ericksen’s home link.

R package

cardata

R Dataset

ericksen

215. Florida County Voting

name

rdataset-cardata-florida

reference

rdataset-cardata-florida’s home link.

R package

cardata

R Dataset

florida

216. Crowding and Crime in U. S. Metropolitan Areas

name

rdataset-cardata-freedman

reference

rdataset-cardata-freedman’s home link.

R package

cardata

R Dataset

freedman

217. Format Effects on Recall

name

rdataset-cardata-friendly

reference

rdataset-cardata-friendly’s home link.

R package

cardata

R Dataset

friendly

218. Data on Depression

name

rdataset-cardata-ginzberg

reference

rdataset-cardata-ginzberg’s home link.

R package

cardata

R Dataset

ginzberg

219. Refugee Appeals

name

rdataset-cardata-greene

reference

rdataset-cardata-greene’s home link.

R package

cardata

R Dataset

greene

220. Data from the General Social Survey (GSS) from the National Opinion Research Center of the University of Chicago.

name

rdataset-cardata-gssvocab

reference

rdataset-cardata-gssvocab’s home link.

R package

cardata

R Dataset

gssvocab

221. Anonymity and Cooperation

name

rdataset-cardata-guyer

reference

rdataset-cardata-guyer’s home link.

R package

cardata

R Dataset

guyer

222. Canadian Crime-Rates Time Series

name

rdataset-cardata-hartnagel

reference

rdataset-cardata-hartnagel’s home link.

R package

cardata

R Dataset

hartnagel

223. Highway Accidents

name

rdataset-cardata-highway1

reference

rdataset-cardata-highway1’s home link.

R package

cardata

R Dataset

highway1

224. Treatment of Migraine Headaches

name

rdataset-cardata-kosteckidillon

reference

rdataset-cardata-kosteckidillon’s home link.

R package

cardata

R Dataset

kosteckidillon

225. Data on Infant-Mortality

name

rdataset-cardata-leinhardt

reference

rdataset-cardata-leinhardt’s home link.

R package

cardata

R Dataset

leinhardt

226. Cancer drug data use to provide an example of the use of the skew power distributions.

name

rdataset-cardata-lobd

reference

rdataset-cardata-lobd’s home link.

R package

cardata

R Dataset

lobd

227. Contrived Collinear Data

name

rdataset-cardata-mandel

reference

rdataset-cardata-mandel’s home link.

R package

cardata

R Dataset

mandel

228. Canadian Interprovincial Migration Data

name

rdataset-cardata-migration

reference

rdataset-cardata-migration’s home link.

R package

cardata

R Dataset

migration

229. Status, Authoritarianism, and Conformity

name

rdataset-cardata-moore

reference

rdataset-cardata-moore’s home link.

R package

cardata

R Dataset

moore

230. Minneapolis Demographic Data 2015, by Neighborhood

name

rdataset-cardata-mplsdemo

reference

rdataset-cardata-mplsdemo’s home link.

R package

cardata

R Dataset

mplsdemo

231. Minneapolis Police Department 2017 Stop Data

name

rdataset-cardata-mplsstops

reference

rdataset-cardata-mplsstops’s home link.

R package

cardata

R Dataset

mplsstops

232. U.S. Women’s Labor-Force Participation

name

rdataset-cardata-mroz

reference

rdataset-cardata-mroz’s home link.

R package

cardata

R Dataset

mroz

233. O’Brien and Kaiser’s Repeated-Measures Data

name

rdataset-cardata-obrienkaiser

reference

rdataset-cardata-obrienkaiser’s home link.

R package

cardata

R Dataset

obrienkaiser

234. O’Brien and Kaiser’s Repeated-Measures Data in “Long” Format

name

rdataset-cardata-obrienkaiserlong

reference

rdataset-cardata-obrienkaiserlong’s home link.

R package

cardata

R Dataset

obrienkaiserlong

235. Interlocking Directorates Among Major Canadian Firms

name

rdataset-cardata-ornstein

reference

rdataset-cardata-ornstein’s home link.

R package

cardata

R Dataset

ornstein

236. Chemical Composition of Pottery

name

rdataset-cardata-pottery

reference

rdataset-cardata-pottery’s home link.

R package

cardata

R Dataset

pottery

237. Prestige of Canadian Occupations

name

rdataset-cardata-prestige

reference

rdataset-cardata-prestige’s home link.

R package

cardata

R Dataset

prestige

238. Four Regression Datasets

name

rdataset-cardata-quartet

reference

rdataset-cardata-quartet’s home link.

R package

cardata

R Dataset

quartet

239. Fertility and Contraception

name

rdataset-cardata-robey

reference

rdataset-cardata-robey’s home link.

R package

cardata

R Dataset

robey

240. Rossi et al.’s Criminal Recidivism Data

name

rdataset-cardata-rossi

reference

rdataset-cardata-rossi’s home link.

R package

cardata

R Dataset

rossi

241. Agricultural Production in Mazulu Village

name

rdataset-cardata-sahlins

reference

rdataset-cardata-sahlins’s home link.

R package

cardata

R Dataset

sahlins

242. Salaries for Professors

name

rdataset-cardata-salaries

reference

rdataset-cardata-salaries’s home link.

R package

cardata

R Dataset

salaries

243. Survey of Labour and Income Dynamics

name

rdataset-cardata-slid

reference

rdataset-cardata-slid’s home link.

R package

cardata

R Dataset

slid

244. Soil Compositions of Physical and Chemical Characteristics

name

rdataset-cardata-soils

reference

rdataset-cardata-soils’s home link.

R package

cardata

R Dataset

soils

245. Education and Related Statistics for the U.S. States

name

rdataset-cardata-states

reference

rdataset-cardata-states’s home link.

R package

cardata

R Dataset

states

246. Survival of Passengers on the Titanic

name

rdataset-cardata-titanicsurvival

reference

rdataset-cardata-titanicsurvival’s home link.

R package

cardata

R Dataset

titanicsurvival

247. Transaction data

name

rdataset-cardata-transact

reference

rdataset-cardata-transact’s home link.

R package

cardata

R Dataset

transact

248. National Statistics from the United Nations, Mostly From 2009-2011

name

rdataset-cardata-un

reference

rdataset-cardata-un’s home link.

R package

cardata

R Dataset

un

249. United Nations Social Indicators Data 1998]

name

rdataset-cardata-un98

reference

rdataset-cardata-un98’s home link.

R package

cardata

R Dataset

un98

250. Population of the United States

name

rdataset-cardata-uspop

reference

rdataset-cardata-uspop’s home link.

R package

cardata

R Dataset

uspop

251. Vocabulary and Education

name

rdataset-cardata-vocab

reference

rdataset-cardata-vocab’s home link.

R package

cardata

R Dataset

vocab

252. Weight Loss Data

name

rdataset-cardata-weightloss

reference

rdataset-cardata-weightloss’s home link.

R package

cardata

R Dataset

weightloss

253. Well Switching in Bangladesh

name

rdataset-cardata-wells

reference

rdataset-cardata-wells’s home link.

R package

cardata

R Dataset

wells

254. Canadian Women’s Labour-Force Participation

name

rdataset-cardata-womenlf

reference

rdataset-cardata-womenlf’s home link.

R package

cardata

R Dataset

womenlf

255. Post-Coma Recovery of IQ

name

rdataset-cardata-wong

reference

rdataset-cardata-wong’s home link.

R package

cardata

R Dataset

wong

256. Wool data

name

rdataset-cardata-wool

reference

rdataset-cardata-wool’s home link.

R package

cardata

R Dataset

wool

257. World Values Surveys

name

rdataset-cardata-wvs

reference

rdataset-cardata-wvs’s home link.

R package

cardata

R Dataset

wvs

258. Data on abortion legalization and sexually transmitted infections

name

rdataset-causaldata-abortion

reference

rdataset-causaldata-abortion’s home link.

R package

causaldata

R Dataset

abortion

259. Data from a survey of internet-mediated sex workers

name

rdataset-causaldata-adult_services

reference

rdataset-causaldata-adult_services’s home link.

R package

causaldata

R Dataset

adult_services

260. Automobile data from Stata

name

rdataset-causaldata-auto

reference

rdataset-causaldata-auto’s home link.

R package

causaldata

R Dataset

auto

261. Data on avocado sales

name

rdataset-causaldata-avocado

reference

rdataset-causaldata-avocado’s home link.

R package

causaldata

R Dataset

avocado

262. Data from “Black Politicians are More Intrinsically Motivated to Advance Blacks’ Interests”

name

rdataset-causaldata-black_politicians

reference

rdataset-causaldata-black_politicians’s home link.

R package

causaldata

R Dataset

black_politicians

263. Data on castle-doctrine statutes and violent crime

name

rdataset-causaldata-castle

reference

rdataset-causaldata-castle’s home link.

R package

causaldata

R Dataset

castle

264. Data from Card (1995) to estimate the effect of college education on earnings

name

rdataset-causaldata-close_college

reference

rdataset-causaldata-close_college’s home link.

R package

causaldata

R Dataset

close_college

265. A close-elections regression discontinuity study from Lee, Moretti, and Butler (2004)

name

rdataset-causaldata-close_elections_lmb

reference

rdataset-causaldata-close_elections_lmb’s home link.

R package

causaldata

R Dataset

close_elections_lmb

266. Observational counterpart to nsw_mixtape data

name

rdataset-causaldata-cps_mixtape

reference

rdataset-causaldata-cps_mixtape’s home link.

R package

causaldata

R Dataset

cps_mixtape

267. Data on Taiwanese Credit Card Holders

name

rdataset-causaldata-credit_cards

reference

rdataset-causaldata-credit_cards’s home link.

R package

causaldata

R Dataset

credit_cards

268. Gapminder data

name

rdataset-causaldata-gapminder

reference

rdataset-causaldata-gapminder’s home link.

R package

causaldata

R Dataset

gapminder

269. Google Stock Data

name

rdataset-causaldata-google_stock

reference

rdataset-causaldata-google_stock’s home link.

R package

causaldata

R Dataset

google_stock

270. Data from “Government Transfers and Political Support”

name

rdataset-causaldata-gov_transfers

reference

rdataset-causaldata-gov_transfers’s home link.

R package

causaldata

R Dataset

gov_transfers

271. Data from “Government Transfers and Political Support” for Density Tests

name

rdataset-causaldata-gov_transfers_density

reference

rdataset-causaldata-gov_transfers_density’s home link.

R package

causaldata

R Dataset

gov_transfers_density

272. Data from a fictional randomized heart transplant study

name

rdataset-causaldata-greek_data

reference

rdataset-causaldata-greek_data’s home link.

R package

causaldata

R Dataset

greek_data

273. Data from “How do Mortgage Subsidies Affect Home Ownership? Evidence from the Mid-Century GI Bills”

name

rdataset-causaldata-mortgages

reference

rdataset-causaldata-mortgages’s home link.

R package

causaldata

R Dataset

mortgages

274. U.S. Women’s Labor-Force Participation

name

rdataset-causaldata-mroz

reference

rdataset-causaldata-mroz’s home link.

R package

causaldata

R Dataset

mroz

275. National Health and Nutrition Examination Survey Data I Epidemiologic Follow-up Study

name

rdataset-causaldata-nhefs

reference

rdataset-causaldata-nhefs’s home link.

R package

causaldata

R Dataset

nhefs

276. NHEFS Codebook

name

rdataset-causaldata-nhefs_codebook

reference

rdataset-causaldata-nhefs_codebook’s home link.

R package

causaldata

R Dataset

nhefs_codebook

277. Complete-Data National Health and Nutrition Examination Survey Data I Epidemiologic Follow-up Study

name

rdataset-causaldata-nhefs_complete

reference

rdataset-causaldata-nhefs_complete’s home link.

R package

causaldata

R Dataset

nhefs_complete

278. Data from the National Supported Work Demonstration (NSW) job-training program

name

rdataset-causaldata-nsw_mixtape

reference

rdataset-causaldata-nsw_mixtape’s home link.

R package

causaldata

R Dataset

nsw_mixtape

279. Organ Donation Data

name

rdataset-causaldata-organ_donations

reference

rdataset-causaldata-organ_donations’s home link.

R package

causaldata

R Dataset

organ_donations

280. Data on Restaurant Inspections

name

rdataset-causaldata-restaurant_inspections

reference

rdataset-causaldata-restaurant_inspections’s home link.

R package

causaldata

R Dataset

restaurant_inspections

281. A simple simulated data set for calculating p-values

name

rdataset-causaldata-ri

reference

rdataset-causaldata-ri’s home link.

R package

causaldata

R Dataset

ri

282. Earnings and Loan Repayment in US Four-Year Colleges

name

rdataset-causaldata-scorecard

reference

rdataset-causaldata-scorecard’s home link.

R package

causaldata

R Dataset

scorecard

283. Data from John Snow’s 1855 study of the cause of cholera

name

rdataset-causaldata-snow

reference

rdataset-causaldata-snow’s home link.

R package

causaldata

R Dataset

snow

284. Data from “Social Networks and the Decision to Insure”

name

rdataset-causaldata-social_insure

reference

rdataset-causaldata-social_insure’s home link.

R package

causaldata

R Dataset

social_insure

285. Data on prison capacity expansion in Texas

name

rdataset-causaldata-texas

reference

rdataset-causaldata-texas’s home link.

R package

causaldata

R Dataset

texas

286. Data from HIV information experiment in Thornton (2008)

name

rdataset-causaldata-thornton_hiv

reference

rdataset-causaldata-thornton_hiv’s home link.

R package

causaldata

R Dataset

thornton_hiv

287. Data from the sinking of the Titanic

name

rdataset-causaldata-titanic

reference

rdataset-causaldata-titanic’s home link.

R package

causaldata

R Dataset

titanic

288. Simulated data from a job training program for a bias reduction method

name

rdataset-causaldata-training_bias_reduction

reference

rdataset-causaldata-training_bias_reduction’s home link.

R package

causaldata

R Dataset

training_bias_reduction

289. Simulated data from a job training program

name

rdataset-causaldata-training_example

reference

rdataset-causaldata-training_example’s home link.

R package

causaldata

R Dataset

training_example

290. Data on 19th century English Poverty from Yule (1899)

name

rdataset-causaldata-yule

reference

rdataset-causaldata-yule’s home link.

R package

causaldata

R Dataset

yule

291. European Union Agricultural Workforces

name

rdataset-cluster-agriculture

reference

rdataset-cluster-agriculture’s home link.

R package

cluster

R Dataset

agriculture

292. Attributes of Animals

name

rdataset-cluster-animals

reference

rdataset-cluster-animals’s home link.

R package

cluster

R Dataset

animals

293. Subset of C-horizon of Kola Data

name

rdataset-cluster-chorsub

reference

rdataset-cluster-chorsub’s home link.

R package

cluster

R Dataset

chorsub

294. Flower Characteristics

name

rdataset-cluster-flower

reference

rdataset-cluster-flower’s home link.

R package

cluster

R Dataset

flower

295. Plant Species Traits Data

name

rdataset-cluster-planttraits

reference

rdataset-cluster-planttraits’s home link.

R package

cluster

R Dataset

planttraits

296. Isotopic Composition Plutonium Batches

name

rdataset-cluster-pluton

reference

rdataset-cluster-pluton’s home link.

R package

cluster

R Dataset

pluton

297. Ruspini Data

name

rdataset-cluster-ruspini

reference

rdataset-cluster-ruspini’s home link.

R package

cluster

R Dataset

ruspini

298. Votes for Republican Candidate in Presidential Elections

name

rdataset-cluster-votes.repub

reference

rdataset-cluster-votes.repub’s home link.

R package

cluster

R Dataset

votes.repub

299. Bivariate Data Set with 3 Clusters

name

rdataset-cluster-xclara

reference

rdataset-cluster-xclara’s home link.

R package

cluster

R Dataset

xclara

300. affairs

name

rdataset-count-affairs

reference

rdataset-count-affairs’s home link.

R package

count

R Dataset

affairs

301. azcabgptca

name

rdataset-count-azcabgptca

reference

rdataset-count-azcabgptca’s home link.

R package

count

R Dataset

azcabgptca

302. azdrg112

name

rdataset-count-azdrg112

reference

rdataset-count-azdrg112’s home link.

R package

count

R Dataset

azdrg112

303. azpro

name

rdataset-count-azpro

reference

rdataset-count-azpro’s home link.

R package

count

R Dataset

azpro

304. azprocedure

name

rdataset-count-azprocedure

reference

rdataset-count-azprocedure’s home link.

R package

count

R Dataset

azprocedure

305. badhealth

name

rdataset-count-badhealth

reference

rdataset-count-badhealth’s home link.

R package

count

R Dataset

badhealth

306. fasttrakg

name

rdataset-count-fasttrakg

reference

rdataset-count-fasttrakg’s home link.

R package

count

R Dataset

fasttrakg

307. fishing

name

rdataset-count-fishing

reference

rdataset-count-fishing’s home link.

R package

count

R Dataset

fishing

308. lbw

name

rdataset-count-lbw

reference

rdataset-count-lbw’s home link.

R package

count

R Dataset

lbw

309. lbwgrp

name

rdataset-count-lbwgrp

reference

rdataset-count-lbwgrp’s home link.

R package

count

R Dataset

lbwgrp

310. loomis

name

rdataset-count-loomis

reference

rdataset-count-loomis’s home link.

R package

count

R Dataset

loomis

311. mdvis

name

rdataset-count-mdvis

reference

rdataset-count-mdvis’s home link.

R package

count

R Dataset

mdvis

312. medpar

name

rdataset-count-medpar

reference

rdataset-count-medpar’s home link.

R package

count

R Dataset

medpar

313. nuts

name

rdataset-count-nuts

reference

rdataset-count-nuts’s home link.

R package

count

R Dataset

nuts

314. rwm

name

rdataset-count-rwm

reference

rdataset-count-rwm’s home link.

R package

count

R Dataset

rwm

315. rwm1984

name

rdataset-count-rwm1984

reference

rdataset-count-rwm1984’s home link.

R package

count

R Dataset

rwm1984

316. rwm5yr

name

rdataset-count-rwm5yr

reference

rdataset-count-rwm5yr’s home link.

R package

count

R Dataset

rwm5yr

317. ships

name

rdataset-count-ships

reference

rdataset-count-ships’s home link.

R package

count

R Dataset

ships

318. smoking

name

rdataset-count-smoking

reference

rdataset-count-smoking’s home link.

R package

count

R Dataset

smoking

319. titanic

name

rdataset-count-titanic

reference

rdataset-count-titanic’s home link.

R package

count

R Dataset

titanic

320. titanicgrp

name

rdataset-count-titanicgrp

reference

rdataset-count-titanicgrp’s home link.

R package

count

R Dataset

titanicgrp

321. Precipitation Observations and Forecasts for Innsbruck

name

rdataset-crch-rainibk

reference

rdataset-crch-rainibk’s home link.

R package

crch

R Dataset

rainibk

322. Aberrant Crypt Foci in Rat Colons

name

rdataset-daag-acf1

reference

rdataset-daag-acf1’s home link.

R package

daag

R Dataset

acf1

323. Australian athletes data set

name

rdataset-daag-ais

reference

rdataset-daag-ais’s home link.

R package

daag

R Dataset

ais

324. Measurements on a Selection of Books

name

rdataset-daag-allbacks

reference

rdataset-daag-allbacks’s home link.

R package

daag

R Dataset

allbacks

325. Anesthetic Effectiveness

name

rdataset-daag-anesthetic

reference

rdataset-daag-anesthetic’s home link.

R package

daag

R Dataset

anesthetic

326. Averages by block of yields for the Antigua Corn data

name

rdataset-daag-ant111b

reference

rdataset-daag-ant111b’s home link.

R package

daag

R Dataset

ant111b

327. Averages by block of yields for the Antigua Corn data

name

rdataset-daag-antigua

reference

rdataset-daag-antigua’s home link.

R package

daag

R Dataset

antigua

328. Tasting experiment that compared four apple varieties

name

rdataset-daag-appletaste

reference

rdataset-daag-appletaste’s home link.

R package

daag

R Dataset

appletaste

329. Latitudes and longitudes for ten Australian cities

name

rdataset-daag-aulatlong

reference

rdataset-daag-aulatlong’s home link.

R package

daag

R Dataset

aulatlong

330. Population figures for Australian States and Territories

name

rdataset-daag-austpop

reference

rdataset-daag-austpop’s home link.

R package

daag

R Dataset

austpop

331. Biomass Data

name

rdataset-daag-biomass

reference

rdataset-daag-biomass’s home link.

R package

daag

R Dataset

biomass

332. Australian and Related Historical Annual Climate Data, by Region

name

rdataset-daag-bomregions

reference

rdataset-daag-bomregions’s home link.

R package

daag

R Dataset

bomregions

333. Australian and Related Historical Annual Climate Data, by Region

name

rdataset-daag-bomregions2018

reference

rdataset-daag-bomregions2018’s home link.

R package

daag

R Dataset

bomregions2018

334. Australian and Related Historical Annual Climate Data, by Region

name

rdataset-daag-bomregions2021

reference

rdataset-daag-bomregions2021’s home link.

R package

daag

R Dataset

bomregions2021

335. Southern Oscillation Index Data

name

rdataset-daag-bomsoi

reference

rdataset-daag-bomsoi’s home link.

R package

daag

R Dataset

bomsoi

336. Boston Housing Data - Corrected

name

rdataset-daag-bostonc

reference

rdataset-daag-bostonc’s home link.

R package

daag

R Dataset

bostonc

337. US Car Price Data

name

rdataset-daag-carprice

reference

rdataset-daag-carprice’s home link.

R package

daag

R Dataset

carprice

338. A Summary of the Cars93 Data set

name

rdataset-daag-cars93.summary

reference

rdataset-daag-cars93.summary’s home link.

R package

daag

R Dataset

cars93.summary

339. Percentage of Sugar in Breakfast Cereal

name

rdataset-daag-cerealsugar

reference

rdataset-daag-cerealsugar’s home link.

R package

daag

R Dataset

cerealsugar

340. Cape Fur Seal Data

name

rdataset-daag-cfseal

reference

rdataset-daag-cfseal’s home link.

R package

daag

R Dataset

cfseal

341. Populations of Major Canadian Cities (1992-96)

name

rdataset-daag-cities

reference

rdataset-daag-cities’s home link.

R package

daag

R Dataset

cities

342. Dose-mortality data, for fumigation of codling moth with methyl bromide

name

rdataset-daag-codling

reference

rdataset-daag-codling’s home link.

R package

daag

R Dataset

codling

343. P-values from biological expression array data

name

rdataset-daag-coralpval

reference

rdataset-daag-coralpval’s home link.

R package

daag

R Dataset

coralpval

344. Occupation and wage profiles of British cotton workers

name

rdataset-daag-cottonworkers

reference

rdataset-daag-cottonworkers’s home link.

R package

daag

R Dataset

cottonworkers

345. Labour Training Evaluation Data

name

rdataset-daag-cps1

reference

rdataset-daag-cps1’s home link.

R package

daag

R Dataset

cps1

346. Labour Training Evaluation Data

name

rdataset-daag-cps2

reference

rdataset-daag-cps2’s home link.

R package

daag

R Dataset

cps2

347. Labour Training Evaluation Data

name

rdataset-daag-cps3

reference

rdataset-daag-cps3’s home link.

R package

daag

R Dataset

cps3

348. Lifespans of UK 1st class cricketers born 1840-1960

name

rdataset-daag-cricketer

reference

rdataset-daag-cricketer’s home link.

R package

daag

R Dataset

cricketer

349. Comparison of cuckoo eggs with host eggs

name

rdataset-daag-cuckoohosts

reference

rdataset-daag-cuckoohosts’s home link.

R package

daag

R Dataset

cuckoohosts

350. Cuckoo Eggs Data

name

rdataset-daag-cuckoos

reference

rdataset-daag-cuckoos’s home link.

R package

daag

R Dataset

cuckoos

351. Dengue prevalence, by administrative region

name

rdataset-daag-dengue

reference

rdataset-daag-dengue’s home link.

R package

daag

R Dataset

dengue

352. Dewpoint Data

name

rdataset-daag-dewpoint

reference

rdataset-daag-dewpoint’s home link.

R package

daag

R Dataset

dewpoint

353. Periods Between Rain Events

name

rdataset-daag-droughts

reference

rdataset-daag-droughts’s home link.

R package

daag

R Dataset

droughts

354. EPICA Dome C Ice Core 800KYr Carbon Dioxide Data

name

rdataset-daag-edcco2

reference

rdataset-daag-edcco2’s home link.

R package

daag

R Dataset

edcco2

355. EPICA Dome C Ice Core 800KYr Temperature Estimates

name

rdataset-daag-edct

reference

rdataset-daag-edct’s home link.

R package

daag

R Dataset

edct

356. Elastic Band Data Replicated

name

rdataset-daag-elastic1

reference

rdataset-daag-elastic1’s home link.

R package

daag

R Dataset

elastic1

357. Elastic Band Data Replicated

name

rdataset-daag-elastic2

reference

rdataset-daag-elastic2’s home link.

R package

daag

R Dataset

elastic2

358. Elastic Band Data

name

rdataset-daag-elasticband

reference

rdataset-daag-elasticband’s home link.

R package

daag

R Dataset

elasticband

359. Fossil Fuel Data

name

rdataset-daag-fossilfuel

reference

rdataset-daag-fossilfuel’s home link.

R package

daag

R Dataset

fossilfuel

360. Possum Measurements

name

rdataset-daag-fossum

reference

rdataset-daag-fossum’s home link.

R package

daag

R Dataset

fossum

361. Frogs Data

name

rdataset-daag-frogs

reference

rdataset-daag-frogs’s home link.

R package

daag

R Dataset

frogs

362. Frosted Flakes data

name

rdataset-daag-frostedflakes

reference

rdataset-daag-frostedflakes’s home link.

R package

daag

R Dataset

frostedflakes

363. Electrical Resistance of Kiwi Fruit

name

rdataset-daag-fruitohms

reference

rdataset-daag-fruitohms’s home link.

R package

daag

R Dataset

fruitohms

364. Effect of pentazocine on post-operative pain (average VAS scores)

name

rdataset-daag-gaba

reference

rdataset-daag-gaba’s home link.

R package

daag

R Dataset

gaba

365. Seismic Timing Data

name

rdataset-daag-geophones

reference

rdataset-daag-geophones’s home link.

R package

daag

R Dataset

geophones

366. Yearly averages of Great Lake heights: 1918 - 2009

name

rdataset-daag-greatlakes

reference

rdataset-daag-greatlakes’s home link.

R package

daag

R Dataset

greatlakes

367. Alcohol consumption in Australia and New Zealand

name

rdataset-daag-grog

reference

rdataset-daag-grog’s home link.

R package

daag

R Dataset

grog

368. Minor Head Injury (Simulated) Data

name

rdataset-daag-headinjury

reference

rdataset-daag-headinjury’s home link.

R package

daag

R Dataset

headinjury

369. Scottish Hill Races Data

name

rdataset-daag-hills

reference

rdataset-daag-hills’s home link.

R package

daag

R Dataset

hills

370. Scottish Hill Races Data

name

rdataset-daag-hills2000

reference

rdataset-daag-hills2000’s home link.

R package

daag

R Dataset

hills2000

371. Hawaian island chain hotspot Potassium-Argon ages

name

rdataset-daag-hotspots

reference

rdataset-daag-hotspots’s home link.

R package

daag

R Dataset

hotspots

372. Hawaian island chain hotspot Argon-Argon ages

name

rdataset-daag-hotspots2006

reference

rdataset-daag-hotspots2006’s home link.

R package

daag

R Dataset

hotspots2006

373. Aranda House Prices

name

rdataset-daag-houseprices

reference

rdataset-daag-houseprices’s home link.

R package

daag

R Dataset

houseprices

374. Oxygen uptake versus mechanical power, for humans

name

rdataset-daag-humanpower1

reference

rdataset-daag-humanpower1’s home link.

R package

daag

R Dataset

humanpower1

375. Oxygen uptake versus mechanical power, for humans

name

rdataset-daag-humanpower2

reference

rdataset-daag-humanpower2’s home link.

R package

daag

R Dataset

humanpower2

376. Named US Atlantic Hurricanes

name

rdataset-daag-hurricnamed

reference

rdataset-daag-hurricnamed’s home link.

R package

daag

R Dataset

hurricnamed

377. Blood pressure versus Salt; inter-population data

name

rdataset-daag-intersalt

reference

rdataset-daag-intersalt’s home link.

R package

daag

R Dataset

intersalt

378. Iron Content Measurements

name

rdataset-daag-ironslag

reference

rdataset-daag-ironslag’s home link.

R package

daag

R Dataset

ironslag

379. Canadian Labour Force Summary Data (1995-96)

name

rdataset-daag-jobs

reference

rdataset-daag-jobs’s home link.

R package

daag

R Dataset

jobs

380. Kiwi Shading Data

name

rdataset-daag-kiwishade

reference

rdataset-daag-kiwishade’s home link.

R package

daag

R Dataset

kiwishade

381. Full Leaf Shape Data Set

name

rdataset-daag-leafshape

reference

rdataset-daag-leafshape’s home link.

R package

daag

R Dataset

leafshape

382. Full Leaf Shape Data Set

name

rdataset-daag-leafshape17

reference

rdataset-daag-leafshape17’s home link.

R package

daag

R Dataset

leafshape17

383. Leaf and Air Temperature Data

name

rdataset-daag-leaftemp

reference

rdataset-daag-leaftemp’s home link.

R package

daag

R Dataset

leaftemp

384. Full Leaf and Air Temperature Data Set

name

rdataset-daag-leaftemp.all

reference

rdataset-daag-leaftemp.all’s home link.

R package

daag

R Dataset

leaftemp.all

385. Mouse Litters

name

rdataset-daag-litters

reference

rdataset-daag-litters’s home link.

R package

daag

R Dataset

litters

386. Record times for Northern Ireland mountain running events

name

rdataset-daag-lognihills

reference

rdataset-daag-lognihills’s home link.

R package

daag

R Dataset

lognihills

387. Ontario Lottery Data

name

rdataset-daag-lottario

reference

rdataset-daag-lottario’s home link.

R package

daag

R Dataset

lottario

388. Cape Fur Seal Lung Measurements

name

rdataset-daag-lung

reference

rdataset-daag-lung’s home link.

R package

daag

R Dataset

lung

389. The Nine Largest Lakes in Manitoba

name

rdataset-daag-manitoba.lakes

reference

rdataset-daag-manitoba.lakes’s home link.

R package

daag

R Dataset

manitoba.lakes

390. Murray-Darling basin monthly temperatures

name

rdataset-daag-mdbavtjtod

reference

rdataset-daag-mdbavtjtod’s home link.

R package

daag

R Dataset

mdbavtjtod

391. Deaths in London from measles

name

rdataset-daag-measles

reference

rdataset-daag-measles’s home link.

R package

daag

R Dataset

measles

392. Family Medical Expenses

name

rdataset-daag-medexpenses

reference

rdataset-daag-medexpenses’s home link.

R package

daag

R Dataset

medexpenses

393. WHO Monica Data

name

rdataset-daag-mifem

reference

rdataset-daag-mifem’s home link.

R package

daag

R Dataset

mifem

394. Darwin’s Wild Mignonette Data

name

rdataset-daag-mignonette

reference

rdataset-daag-mignonette’s home link.

R package

daag

R Dataset

mignonette

395. Milk Sweetness Study

name

rdataset-daag-milk

reference

rdataset-daag-milk’s home link.

R package

daag

R Dataset

milk

396. Model Car Data

name

rdataset-daag-modelcars

reference

rdataset-daag-modelcars’s home link.

R package

daag

R Dataset

modelcars

397. WHO Monica Data

name

rdataset-daag-monica

reference

rdataset-daag-monica’s home link.

R package

daag

R Dataset

monica

398. Moths Data

name

rdataset-daag-moths

reference

rdataset-daag-moths’s home link.

R package

daag

R Dataset

moths

399. Airbag and other influences on accident fatalities

name

rdataset-daag-nasscds

reference

rdataset-daag-nasscds’s home link.

R package

daag

R Dataset

nasscds

400. Documentation of names of columns in nass9702cor

name

rdataset-daag-nasshead

reference

rdataset-daag-nasshead’s home link.

R package

daag

R Dataset

nasshead

401. Record times for Northern Ireland mountain running events

name

rdataset-daag-nihills

reference

rdataset-daag-nihills’s home link.

R package

daag

R Dataset

nihills

402. Labour Training Evaluation Data

name

rdataset-daag-nsw74demo

reference

rdataset-daag-nsw74demo’s home link.

R package

daag

R Dataset

nsw74demo

403. Labour Training Evaluation Data

name

rdataset-daag-nsw74psid1

reference

rdataset-daag-nsw74psid1’s home link.

R package

daag

R Dataset

nsw74psid1

404. Labour Training Evaluation Data

name

rdataset-daag-nsw74psid3

reference

rdataset-daag-nsw74psid3’s home link.

R package

daag

R Dataset

nsw74psid3

405. Labour Training Evaluation Data

name

rdataset-daag-nsw74psida

reference

rdataset-daag-nsw74psida’s home link.

R package

daag

R Dataset

nsw74psida

406. Labour Training Evaluation Data

name

rdataset-daag-nswdemo

reference

rdataset-daag-nswdemo’s home link.

R package

daag

R Dataset

nswdemo

407. Labour Training Evaluation Data

name

rdataset-daag-nswpsid1

reference

rdataset-daag-nswpsid1’s home link.

R package

daag

R Dataset

nswpsid1

408. Measurements on 12 books

name

rdataset-daag-oddbooks

reference

rdataset-daag-oddbooks’s home link.

R package

daag

R Dataset

oddbooks

409. Challenger O-rings Data

name

rdataset-daag-orings

reference

rdataset-daag-orings’s home link.

R package

daag

R Dataset

orings

410. Ozone Data

name

rdataset-daag-ozone

reference

rdataset-daag-ozone’s home link.

R package

daag

R Dataset

ozone

411. Heated Elastic Bands

name

rdataset-daag-pair65

reference

rdataset-daag-pair65’s home link.

R package

daag

R Dataset

pair65

412. Possum Measurements

name

rdataset-daag-possum

reference

rdataset-daag-possum’s home link.

R package

daag

R Dataset

possum

413. Possum Sites

name

rdataset-daag-possumsites

reference

rdataset-daag-possumsites’s home link.

R package

daag

R Dataset

possumsites

414. Deaths from various causes, in London from 1629 till 1881, with gaps

name

rdataset-daag-poxetc

reference

rdataset-daag-poxetc’s home link.

R package

daag

R Dataset

poxetc

415. Primate Body and Brain Weights

name

rdataset-daag-primates

reference

rdataset-daag-primates’s home link.

R package

daag

R Dataset

primates

416. Progression of Record times for track races, 1912 - 2008

name

rdataset-daag-progression

reference

rdataset-daag-progression’s home link.

R package

daag

R Dataset

progression

417. Labour Training Evaluation Data

name

rdataset-daag-psid1

reference

rdataset-daag-psid1’s home link.

R package

daag

R Dataset

psid1

418. Labour Training Evaluation Data

name

rdataset-daag-psid2

reference

rdataset-daag-psid2’s home link.

R package

daag

R Dataset

psid2

419. Labour Training Evaluation Data

name

rdataset-daag-psid3

reference

rdataset-daag-psid3’s home link.

R package

daag

R Dataset

psid3

420. Scottish Hill Races Data - 2000

name

rdataset-daag-races2000

reference

rdataset-daag-races2000’s home link.

R package

daag

R Dataset

races2000

421. Rainforest Data

name

rdataset-daag-rainforest

reference

rdataset-daag-rainforest’s home link.

R package

daag

R Dataset

rainforest

422. Rare and Endangered Plant Species

name

rdataset-daag-rareplants

reference

rdataset-daag-rareplants’s home link.

R package

daag

R Dataset

rareplants

423. Genetically Modified and Wild Type Rice Data

name

rdataset-daag-rice

reference

rdataset-daag-rice’s home link.

R package

daag

R Dataset

rice

424. Pacific Rock Art features

name

rdataset-daag-rockart

reference

rdataset-daag-rockart’s home link.

R package

daag

R Dataset

rockart

425. Lawn Roller Data

name

rdataset-daag-roller

reference

rdataset-daag-roller’s home link.

R package

daag

R Dataset

roller

426. School Science Survey Data

name

rdataset-daag-science

reference

rdataset-daag-science’s home link.

R package

daag

R Dataset

science

427. Barley Seeding Rate Data

name

rdataset-daag-seedrates

reference

rdataset-daag-seedrates’s home link.

R package

daag

R Dataset

seedrates

428. Social Support Data

name

rdataset-daag-socsupport

reference

rdataset-daag-socsupport’s home link.

R package

daag

R Dataset

socsupport

429. Measurements on a Selection of Paperback Books

name

rdataset-daag-softbacks

reference

rdataset-daag-softbacks’s home link.

R package

daag

R Dataset

softbacks

430. sorption data set

name

rdataset-daag-sorption

reference

rdataset-daag-sorption’s home link.

R package

daag

R Dataset

sorption

431. Closing Numbers for S and P 500 Index

name

rdataset-daag-sp500close

reference

rdataset-daag-sp500close’s home link.

R package

daag

R Dataset

sp500close

432. Closing Numbers for S and P 500 Index - First 100 Days of 1990

name

rdataset-daag-sp500w90

reference

rdataset-daag-sp500w90’s home link.

R package

daag

R Dataset

sp500w90

433. Spam E-mail Data

name

rdataset-daag-spam7

reference

rdataset-daag-spam7’s home link.

R package

daag

R Dataset

spam7

434. Averages by block of yields for the St. Vincent Corn data

name

rdataset-daag-stvincent

reference

rdataset-daag-stvincent’s home link.

R package

daag

R Dataset

stvincent

435. Sugar Data

name

rdataset-daag-sugar

reference

rdataset-daag-sugar’s home link.

R package

daag

R Dataset

sugar

436. Car Window Tinting Experiment Data

name

rdataset-daag-tinting

reference

rdataset-daag-tinting’s home link.

R package

daag

R Dataset

tinting

437. Root weights of tomato plants exposed to 4 different treatments

name

rdataset-daag-tomato

reference

rdataset-daag-tomato’s home link.

R package

daag

R Dataset

tomato

438. Toy Cars Data

name

rdataset-daag-toycars

reference

rdataset-daag-toycars’s home link.

R package

daag

R Dataset

toycars

439. Averages by block of corn yields, for treatment 111 only

name

rdataset-daag-vince111b

reference

rdataset-daag-vince111b’s home link.

R package

daag

R Dataset

vince111b

440. Video Lottery Terminal Data

name

rdataset-daag-vlt

reference

rdataset-daag-vlt’s home link.

R package

daag

R Dataset

vlt

441. Wages of Lancashire Cotton Factory Workers in 1833

name

rdataset-daag-wages1833

reference

rdataset-daag-wages1833’s home link.

R package

daag

R Dataset

wages1833

442. Deaths from whooping cough, in London

name

rdataset-daag-whoops

reference

rdataset-daag-whoops’s home link.

R package

daag

R Dataset

whoops

443. Record times for track and road races, at August 9th 2006

name

rdataset-daag-worldrecords

reference

rdataset-daag-worldrecords’s home link.

R package

daag

R Dataset

worldrecords

444. Ability and Intelligence Tests

name

rdataset-datasets-ability.cov

reference

rdataset-datasets-ability.cov’s home link.

R package

datasets

R Dataset

ability.cov

445. Passenger Miles on Commercial US Airlines, 1937-1960

name

rdataset-datasets-airmiles

reference

rdataset-datasets-airmiles’s home link.

R package

datasets

R Dataset

airmiles

446. Monthly Airline Passenger Numbers 1949-1960

name

rdataset-datasets-airpassengers

reference

rdataset-datasets-airpassengers’s home link.

R package

datasets

R Dataset

airpassengers

447. New York Air Quality Measurements

name

rdataset-datasets-airquality

reference

rdataset-datasets-airquality’s home link.

R package

datasets

R Dataset

airquality

448. Anscombe’s Quartet of ‘Identical’ Simple Linear Regressions

name

rdataset-datasets-anscombe

reference

rdataset-datasets-anscombe’s home link.

R package

datasets

R Dataset

anscombe

449. The Joyner-Boore Attenuation Data

name

rdataset-datasets-attenu

reference

rdataset-datasets-attenu’s home link.

R package

datasets

R Dataset

attenu

450. The Chatterjee-Price Attitude Data

name

rdataset-datasets-attitude

reference

rdataset-datasets-attitude’s home link.

R package

datasets

R Dataset

attitude

451. Quarterly Time Series of the Number of Australian Residents

name

rdataset-datasets-austres

reference

rdataset-datasets-austres’s home link.

R package

datasets

R Dataset

austres

452. Body Temperature Series of Two Beavers

name

rdataset-datasets-beaver1 (beavers)

reference

rdataset-datasets-beaver1 (beavers)’s home link.

R package

datasets

R Dataset

beaver1 (beavers)

453. Body Temperature Series of Two Beavers

name

rdataset-datasets-beaver2 (beavers)

reference

rdataset-datasets-beaver2 (beavers)’s home link.

R package

datasets

R Dataset

beaver2 (beavers)

454. Sales Data with Leading Indicator

name

rdataset-datasets-bjsales

reference

rdataset-datasets-bjsales’s home link.

R package

datasets

R Dataset

bjsales

455. Sales Data with Leading Indicator

name

rdataset-datasets-bjsales.lead (bjsales)

reference

rdataset-datasets-bjsales.lead (bjsales)’s home link.

R package

datasets

R Dataset

bjsales.lead (bjsales)

456. Biochemical Oxygen Demand

name

rdataset-datasets-bod

reference

rdataset-datasets-bod’s home link.

R package

datasets

R Dataset

bod

457. Speed and Stopping Distances of Cars

name

rdataset-datasets-cars

reference

rdataset-datasets-cars’s home link.

R package

datasets

R Dataset

cars

458. Weight versus age of chicks on different diets

name

rdataset-datasets-chickweight

reference

rdataset-datasets-chickweight’s home link.

R package

datasets

R Dataset

chickweight

459. Chicken Weights by Feed Type

name

rdataset-datasets-chickwts

reference

rdataset-datasets-chickwts’s home link.

R package

datasets

R Dataset

chickwts

460. Mauna Loa Atmospheric CO2 Concentration

name

rdataset-datasets-co2

reference

rdataset-datasets-co2’s home link.

R package

datasets

R Dataset

co2

461. Student’s 3000 Criminals Data

name

rdataset-datasets-crimtab

reference

rdataset-datasets-crimtab’s home link.

R package

datasets

R Dataset

crimtab

462. Yearly Numbers of Important Discoveries

name

rdataset-datasets-discoveries

reference

rdataset-datasets-discoveries’s home link.

R package

datasets

R Dataset

discoveries

463. Elisa assay of DNase

name

rdataset-datasets-dnase

reference

rdataset-datasets-dnase’s home link.

R package

datasets

R Dataset

dnase

464. Smoking, Alcohol and (O)esophageal Cancer

name

rdataset-datasets-esoph

reference

rdataset-datasets-esoph’s home link.

R package

datasets

R Dataset

esoph

465. Conversion Rates of Euro Currencies

name

rdataset-datasets-euro

reference

rdataset-datasets-euro’s home link.

R package

datasets

R Dataset

euro

466. Conversion Rates of Euro Currencies

name

rdataset-datasets-euro.cross (euro)

reference

rdataset-datasets-euro.cross (euro)’s home link.

R package

datasets

R Dataset

euro.cross (euro)

467. Daily Closing Prices of Major European Stock Indices, 1991-1998

name

rdataset-datasets-eustockmarkets

reference

rdataset-datasets-eustockmarkets’s home link.

R package

datasets

R Dataset

eustockmarkets

468. Old Faithful Geyser Data

name

rdataset-datasets-faithful

reference

rdataset-datasets-faithful’s home link.

R package

datasets

R Dataset

faithful

469. Monthly Deaths from Lung Diseases in the UK

name

rdataset-datasets-fdeaths (uklungdeaths)

reference

rdataset-datasets-fdeaths (uklungdeaths)’s home link.

R package

datasets

R Dataset

fdeaths (uklungdeaths)

470. Determination of Formaldehyde

name

rdataset-datasets-formaldehyde

reference

rdataset-datasets-formaldehyde’s home link.

R package

datasets

R Dataset

formaldehyde

471. Freeny’s Revenue Data

name

rdataset-datasets-freeny

reference

rdataset-datasets-freeny’s home link.

R package

datasets

R Dataset

freeny

472. Freeny’s Revenue Data

name

rdataset-datasets-freeny.x (freeny)

reference

rdataset-datasets-freeny.x (freeny)’s home link.

R package

datasets

R Dataset

freeny.x (freeny)

473. Freeny’s Revenue Data

name

rdataset-datasets-freeny.y (freeny)

reference

rdataset-datasets-freeny.y (freeny)’s home link.

R package

datasets

R Dataset

freeny.y (freeny)

474. Hair and Eye Color of Statistics Students

name

rdataset-datasets-haireyecolor

reference

rdataset-datasets-haireyecolor’s home link.

R package

datasets

R Dataset

haireyecolor

475. Harman Example 2.3

name

rdataset-datasets-harman23.cor

reference

rdataset-datasets-harman23.cor’s home link.

R package

datasets

R Dataset

harman23.cor

476. Harman Example 7.4

name

rdataset-datasets-harman74.cor

reference

rdataset-datasets-harman74.cor’s home link.

R package

datasets

R Dataset

harman74.cor

477. Pharmacokinetics of Indomethacin

name

rdataset-datasets-indometh

reference

rdataset-datasets-indometh’s home link.

R package

datasets

R Dataset

indometh

478. Infertility after Spontaneous and Induced Abortion

name

rdataset-datasets-infert

reference

rdataset-datasets-infert’s home link.

R package

datasets

R Dataset

infert

479. Effectiveness of Insect Sprays

name

rdataset-datasets-insectsprays

reference

rdataset-datasets-insectsprays’s home link.

R package

datasets

R Dataset

insectsprays

480. Edgar Anderson’s Iris Data

name

rdataset-datasets-iris

reference

rdataset-datasets-iris’s home link.

R package

datasets

R Dataset

iris

481. Edgar Anderson’s Iris Data

name

rdataset-datasets-iris3

reference

rdataset-datasets-iris3’s home link.

R package

datasets

R Dataset

iris3

482. Areas of the World’s Major Landmasses

name

rdataset-datasets-islands

reference

rdataset-datasets-islands’s home link.

R package

datasets

R Dataset

islands

483. Quarterly Earnings per Johnson & Johnson Share

name

rdataset-datasets-johnsonjohnson

reference

rdataset-datasets-johnsonjohnson’s home link.

R package

datasets

R Dataset

johnsonjohnson

484. Level of Lake Huron 1875-1972

name

rdataset-datasets-lakehuron

reference

rdataset-datasets-lakehuron’s home link.

R package

datasets

R Dataset

lakehuron

485. Monthly Deaths from Lung Diseases in the UK

name

rdataset-datasets-ldeaths (uklungdeaths)

reference

rdataset-datasets-ldeaths (uklungdeaths)’s home link.

R package

datasets

R Dataset

ldeaths (uklungdeaths)

486. Luteinizing Hormone in Blood Samples

name

rdataset-datasets-lh

reference

rdataset-datasets-lh’s home link.

R package

datasets

R Dataset

lh

487. Intercountry Life-Cycle Savings Data

name

rdataset-datasets-lifecyclesavings

reference

rdataset-datasets-lifecyclesavings’s home link.

R package

datasets

R Dataset

lifecyclesavings

488. Growth of Loblolly pine trees

name

rdataset-datasets-loblolly

reference

rdataset-datasets-loblolly’s home link.

R package

datasets

R Dataset

loblolly

489. Longley’s Economic Regression Data

name

rdataset-datasets-longley

reference

rdataset-datasets-longley’s home link.

R package

datasets

R Dataset

longley

490. Annual Canadian Lynx trappings 1821-1934

name

rdataset-datasets-lynx

reference

rdataset-datasets-lynx’s home link.

R package

datasets

R Dataset

lynx

491. Monthly Deaths from Lung Diseases in the UK

name

rdataset-datasets-mdeaths (uklungdeaths)

reference

rdataset-datasets-mdeaths (uklungdeaths)’s home link.

R package

datasets

R Dataset

mdeaths (uklungdeaths)

492. Michelson Speed of Light Data

name

rdataset-datasets-morley

reference

rdataset-datasets-morley’s home link.

R package

datasets

R Dataset

morley

493. Motor Trend Car Road Tests

name

rdataset-datasets-mtcars

reference

rdataset-datasets-mtcars’s home link.

R package

datasets

R Dataset

mtcars

494. Average Yearly Temperatures in New Haven

name

rdataset-datasets-nhtemp

reference

rdataset-datasets-nhtemp’s home link.

R package

datasets

R Dataset

nhtemp

495. Flow of the River Nile

name

rdataset-datasets-nile

reference

rdataset-datasets-nile’s home link.

R package

datasets

R Dataset

nile

496. Average Monthly Temperatures at Nottingham, 1920-1939

name

rdataset-datasets-nottem

reference

rdataset-datasets-nottem’s home link.

R package

datasets

R Dataset

nottem

497. Classical N, P, K Factorial Experiment

name

rdataset-datasets-npk

reference

rdataset-datasets-npk’s home link.

R package

datasets

R Dataset

npk

498. Occupational Status of Fathers and their Sons

name

rdataset-datasets-occupationalstatus

reference

rdataset-datasets-occupationalstatus’s home link.

R package

datasets

R Dataset

occupationalstatus

499. Growth of Orange Trees

name

rdataset-datasets-orange

reference

rdataset-datasets-orange’s home link.

R package

datasets

R Dataset

orange

500. Potency of Orchard Sprays

name

rdataset-datasets-orchardsprays

reference

rdataset-datasets-orchardsprays’s home link.

R package

datasets

R Dataset

orchardsprays

501. Results from an Experiment on Plant Growth

name

rdataset-datasets-plantgrowth

reference

rdataset-datasets-plantgrowth’s home link.

R package

datasets

R Dataset

plantgrowth

502. Annual Precipitation in US Cities

name

rdataset-datasets-precip

reference

rdataset-datasets-precip’s home link.

R package

datasets

R Dataset

precip

503. Quarterly Approval Ratings of US Presidents

name

rdataset-datasets-presidents

reference

rdataset-datasets-presidents’s home link.

R package

datasets

R Dataset

presidents

504. Vapor Pressure of Mercury as a Function of Temperature

name

rdataset-datasets-pressure

reference

rdataset-datasets-pressure’s home link.

R package

datasets

R Dataset

pressure

505. Reaction Velocity of an Enzymatic Reaction

name

rdataset-datasets-puromycin

reference

rdataset-datasets-puromycin’s home link.

R package

datasets

R Dataset

puromycin

506. Locations of Earthquakes off Fiji

name

rdataset-datasets-quakes

reference

rdataset-datasets-quakes’s home link.

R package

datasets

R Dataset

quakes

507. Random Numbers from Congruential Generator RANDU

name

rdataset-datasets-randu

reference

rdataset-datasets-randu’s home link.

R package

datasets

R Dataset

randu

508. Lengths of Major North American Rivers

name

rdataset-datasets-rivers

reference

rdataset-datasets-rivers’s home link.

R package

datasets

R Dataset

rivers

509. Measurements on Petroleum Rock Samples

name

rdataset-datasets-rock

reference

rdataset-datasets-rock’s home link.

R package

datasets

R Dataset

rock

510. Road Casualties in Great Britain 1969-84

name

rdataset-datasets-seatbelts

reference

rdataset-datasets-seatbelts’s home link.

R package

datasets

R Dataset

seatbelts

511. Student’s Sleep Data

name

rdataset-datasets-sleep

reference

rdataset-datasets-sleep’s home link.

R package

datasets

R Dataset

sleep

512. Brownlee’s Stack Loss Plant Data

name

rdataset-datasets-stack.loss (stackloss)

reference

rdataset-datasets-stack.loss (stackloss)’s home link.

R package

datasets

R Dataset

stack.loss (stackloss)

513. Brownlee’s Stack Loss Plant Data

name

rdataset-datasets-stack.x (stackloss)

reference

rdataset-datasets-stack.x (stackloss)’s home link.

R package

datasets

R Dataset

stack.x (stackloss)

514. Brownlee’s Stack Loss Plant Data

name

rdataset-datasets-stackloss

reference

rdataset-datasets-stackloss’s home link.

R package

datasets

R Dataset

stackloss

515. US State Facts and Figures

name

rdataset-datasets-state.abb (state)

reference

rdataset-datasets-state.abb (state)’s home link.

R package

datasets

R Dataset

state.abb (state)

516. US State Facts and Figures

name

rdataset-datasets-state.area (state)

reference

rdataset-datasets-state.area (state)’s home link.

R package

datasets

R Dataset

state.area (state)

517. US State Facts and Figures

name

rdataset-datasets-state.center (state)

reference

rdataset-datasets-state.center (state)’s home link.

R package

datasets

R Dataset

state.center (state)

518. US State Facts and Figures

name

rdataset-datasets-state.division (state)

reference

rdataset-datasets-state.division (state)’s home link.

R package

datasets

R Dataset

state.division (state)

519. US State Facts and Figures

name

rdataset-datasets-state.name (state)

reference

rdataset-datasets-state.name (state)’s home link.

R package

datasets

R Dataset

state.name (state)

520. US State Facts and Figures

name

rdataset-datasets-state.region (state)

reference

rdataset-datasets-state.region (state)’s home link.

R package

datasets

R Dataset

state.region (state)

521. US State Facts and Figures

name

rdataset-datasets-state.x77 (state)

reference

rdataset-datasets-state.x77 (state)’s home link.

R package

datasets

R Dataset

state.x77 (state)

522. Monthly Sunspot Data, from 1749 to “Present”

name

rdataset-datasets-sunspot.month

reference

rdataset-datasets-sunspot.month’s home link.

R package

datasets

R Dataset

sunspot.month

523. Yearly Sunspot Data, 1700-1988

name

rdataset-datasets-sunspot.year

reference

rdataset-datasets-sunspot.year’s home link.

R package

datasets

R Dataset

sunspot.year

524. Monthly Sunspot Numbers, 1749-1983

name

rdataset-datasets-sunspots

reference

rdataset-datasets-sunspots’s home link.

R package

datasets

R Dataset

sunspots

525. Swiss Fertility and Socioeconomic Indicators (1888) Data

name

rdataset-datasets-swiss

reference

rdataset-datasets-swiss’s home link.

R package

datasets

R Dataset

swiss

526. Pharmacokinetics of Theophylline

name

rdataset-datasets-theoph

reference

rdataset-datasets-theoph’s home link.

R package

datasets

R Dataset

theoph

527. Survival of passengers on the Titanic

name

rdataset-datasets-titanic

reference

rdataset-datasets-titanic’s home link.

R package

datasets

R Dataset

titanic

528. The Effect of Vitamin C on Tooth Growth in Guinea Pigs

name

rdataset-datasets-toothgrowth

reference

rdataset-datasets-toothgrowth’s home link.

R package

datasets

R Dataset

toothgrowth

529. Yearly Treering Data, -6000-1979

name

rdataset-datasets-treering

reference

rdataset-datasets-treering’s home link.

R package

datasets

R Dataset

treering

530. Diameter, Height and Volume for Black Cherry Trees

name

rdataset-datasets-trees

reference

rdataset-datasets-trees’s home link.

R package

datasets

R Dataset

trees

531. Student Admissions at UC Berkeley

name

rdataset-datasets-ucbadmissions

reference

rdataset-datasets-ucbadmissions’s home link.

R package

datasets

R Dataset

ucbadmissions

532. Road Casualties in Great Britain 1969-84

name

rdataset-datasets-ukdriverdeaths

reference

rdataset-datasets-ukdriverdeaths’s home link.

R package

datasets

R Dataset

ukdriverdeaths

533. UK Quarterly Gas Consumption

name

rdataset-datasets-ukgas

reference

rdataset-datasets-ukgas’s home link.

R package

datasets

R Dataset

ukgas

534. Accidental Deaths in the US 1973-1978

name

rdataset-datasets-usaccdeaths

reference

rdataset-datasets-usaccdeaths’s home link.

R package

datasets

R Dataset

usaccdeaths

535. Violent Crime Rates by US State

name

rdataset-datasets-usarrests

reference

rdataset-datasets-usarrests’s home link.

R package

datasets

R Dataset

usarrests

536. Lawyers’ Ratings of State Judges in the US Superior Court

name

rdataset-datasets-usjudgeratings

reference

rdataset-datasets-usjudgeratings’s home link.

R package

datasets

R Dataset

usjudgeratings

537. Personal Expenditure Data

name

rdataset-datasets-uspersonalexpenditure

reference

rdataset-datasets-uspersonalexpenditure’s home link.

R package

datasets

R Dataset

uspersonalexpenditure

538. Populations Recorded by the US Census

name

rdataset-datasets-uspop

reference

rdataset-datasets-uspop’s home link.

R package

datasets

R Dataset

uspop

539. Death Rates in Virginia (1940)

name

rdataset-datasets-vadeaths

reference

rdataset-datasets-vadeaths’s home link.

R package

datasets

R Dataset

vadeaths

540. Topographic Information on Auckland’s Maunga Whau Volcano

name

rdataset-datasets-volcano

reference

rdataset-datasets-volcano’s home link.

R package

datasets

R Dataset

volcano

541. The Number of Breaks in Yarn during Weaving

name

rdataset-datasets-warpbreaks

reference

rdataset-datasets-warpbreaks’s home link.

R package

datasets

R Dataset

warpbreaks

542. Average Heights and Weights for American Women

name

rdataset-datasets-women

reference

rdataset-datasets-women’s home link.

R package

datasets

R Dataset

women

543. The World’s Telephones

name

rdataset-datasets-worldphones

reference

rdataset-datasets-worldphones’s home link.

R package

datasets

R Dataset

worldphones

544. Internet Usage per Minute

name

rdataset-datasets-wwwusage

reference

rdataset-datasets-wwwusage’s home link.

R package

datasets

R Dataset

wwwusage

545. Band membership

name

rdataset-dplyr-band_instruments

reference

rdataset-dplyr-band_instruments’s home link.

R package

dplyr

R Dataset

band_instruments

546. Band membership

name

rdataset-dplyr-band_instruments2

reference

rdataset-dplyr-band_instruments2’s home link.

R package

dplyr

R Dataset

band_instruments2

547. Band membership

name

rdataset-dplyr-band_members

reference

rdataset-dplyr-band_members’s home link.

R package

dplyr

R Dataset

band_members

548. Starwars characters

name

rdataset-dplyr-starwars

reference

rdataset-dplyr-starwars’s home link.

R package

dplyr

R Dataset

starwars

549. Storm tracks data

name

rdataset-dplyr-storms

reference

rdataset-dplyr-storms’s home link.

R package

dplyr

R Dataset

storms

550. RuPaul’s Drag Race Episode-Contestant Data

name

rdataset-dragracer-rpdr_contep

reference

rdataset-dragracer-rpdr_contep’s home link.

R package

dragracer

R Dataset

rpdr_contep

551. RuPaul’s Drag Race Contestant Data

name

rdataset-dragracer-rpdr_contestants

reference

rdataset-dragracer-rpdr_contestants’s home link.

R package

dragracer

R Dataset

rpdr_contestants

552. RuPaul’s Drag Race Episode Data

name

rdataset-dragracer-rpdr_ep

reference

rdataset-dragracer-rpdr_ep’s home link.

R package

dragracer

R Dataset

rpdr_ep

553. Acifluorfen and diquat tested on Lemna minor.

name

rdataset-drc-acidiq

reference

rdataset-drc-acidiq’s home link.

R package

drc

R Dataset

acidiq

554. Volume of algae as function of increasing concentrations of a herbicide

name

rdataset-drc-algae

reference

rdataset-drc-algae’s home link.

R package

drc

R Dataset

algae

555. Effect of technical grade and commercially formulated auxin herbicides

name

rdataset-drc-auxins

reference

rdataset-drc-auxins’s home link.

R package

drc

R Dataset

auxins

556. Germination of common chickweed (_Stellaria media_)

name

rdataset-drc-chickweed

reference

rdataset-drc-chickweed’s home link.

R package

drc

R Dataset

chickweed

557. Germination of common chickweed (_Stellaria media_)

name

rdataset-drc-chickweed0

reference

rdataset-drc-chickweed0’s home link.

R package

drc

R Dataset

chickweed0

558. Daphnia test

name

rdataset-drc-daphnids

reference

rdataset-drc-daphnids’s home link.

R package

drc

R Dataset

daphnids

559. Performance of decontaminants used in the culturing of a micro-organism

name

rdataset-drc-decontaminants

reference

rdataset-drc-decontaminants’s home link.

R package

drc

R Dataset

decontaminants

560. Deguelin applied to chrysanthemum aphis

name

rdataset-drc-deguelin

reference

rdataset-drc-deguelin’s home link.

R package

drc

R Dataset

deguelin

561. Earthworm toxicity test

name

rdataset-drc-earthworms

reference

rdataset-drc-earthworms’s home link.

R package

drc

R Dataset

earthworms

562. Effect of erythromycin on mixed sewage microorganisms

name

rdataset-drc-etmotc

reference

rdataset-drc-etmotc’s home link.

R package

drc

R Dataset

etmotc

563. Example from Finney (1971)

name

rdataset-drc-finney71

reference

rdataset-drc-finney71’s home link.

R package

drc

R Dataset

finney71

564. Herbicide applied to Galium aparine

name

rdataset-drc-g.aparine

reference

rdataset-drc-g.aparine’s home link.

R package

drc

R Dataset

g.aparine

565. Germination of three crops

name

rdataset-drc-germination

reference

rdataset-drc-germination’s home link.

R package

drc

R Dataset

germination

566. Glyphosate and metsulfuron-methyl tested on algae.

name

rdataset-drc-glymet

reference

rdataset-drc-glymet’s home link.

R package

drc

R Dataset

glymet

567. Mortality of tobacco budworms

name

rdataset-drc-h.virescens

reference

rdataset-drc-h.virescens’s home link.

R package

drc

R Dataset

h.virescens

568. Heart rate baroreflexes for rabbits

name

rdataset-drc-heartrate

reference

rdataset-drc-heartrate’s home link.

R package

drc

R Dataset

heartrate

569. Leaf length of barley

name

rdataset-drc-leaflength

reference

rdataset-drc-leaflength’s home link.

R package

drc

R Dataset

leaflength

570. Dose-response profile of degradation of agrochemical using lepidium

name

rdataset-drc-lepidium

reference

rdataset-drc-lepidium’s home link.

R package

drc

R Dataset

lepidium

571. Hormesis in lettuce plants

name

rdataset-drc-lettuce

reference

rdataset-drc-lettuce’s home link.

R package

drc

R Dataset

lettuce

572. Effect of an effluent on the growth of mysid shrimp

name

rdataset-drc-m.bahia

reference

rdataset-drc-m.bahia’s home link.

R package

drc

R Dataset

m.bahia

573. Mechlorprop and terbythylazine tested on Lemna minor

name

rdataset-drc-mecter

reference

rdataset-drc-mecter’s home link.

R package

drc

R Dataset

mecter

574. Data from heavy metal mixture experiments

name

rdataset-drc-metals

reference

rdataset-drc-metals’s home link.

R package

drc

R Dataset

metals

575. Weight gain for different methionine sources

name

rdataset-drc-methionine

reference

rdataset-drc-methionine’s home link.

R package

drc

R Dataset

methionine

576. Dose-response profile of degradation of agrochemical using nasturtium

name

rdataset-drc-nasturtium

reference

rdataset-drc-nasturtium’s home link.

R package

drc

R Dataset

nasturtium

577. Test data from a 21 day fish test

name

rdataset-drc-o.mykiss

reference

rdataset-drc-o.mykiss’s home link.

R package

drc

R Dataset

o.mykiss

578. Effect of sodium pentachlorophenate on growth of fathead minnow

name

rdataset-drc-p.promelas

reference

rdataset-drc-p.promelas’s home link.

R package

drc

R Dataset

p.promelas

579. Competition between two biotypes

name

rdataset-drc-rscompetition

reference

rdataset-drc-rscompetition’s home link.

R package

drc

R Dataset

rscompetition

580. Effect of ferulic acid on growth of ryegrass

name

rdataset-drc-ryegrass

reference

rdataset-drc-ryegrass’s home link.

R package

drc

R Dataset

ryegrass

581. Potency of two herbicides

name

rdataset-drc-s.alba

reference

rdataset-drc-s.alba’s home link.

R package

drc

R Dataset

s.alba

582. Effect of cadmium on growth of green alga

name

rdataset-drc-s.capricornutum

reference

rdataset-drc-s.capricornutum’s home link.

R package

drc

R Dataset

s.capricornutum

583. Root length measurements

name

rdataset-drc-secalonic

reference

rdataset-drc-secalonic’s home link.

R package

drc

R Dataset

secalonic

584. Data from toxicology experiments with selenium

name

rdataset-drc-selenium

reference

rdataset-drc-selenium’s home link.

R package

drc

R Dataset

selenium

585. Inhibition of photosynthesis

name

rdataset-drc-spinach

reference

rdataset-drc-spinach’s home link.

R package

drc

R Dataset

spinach

586. The effect of terbuthylazin on growth rate

name

rdataset-drc-terbuthylazin

reference

rdataset-drc-terbuthylazin’s home link.

R package

drc

R Dataset

terbuthylazin

587. Vinclozolin from AR in vitro assay

name

rdataset-drc-vinclozolin

reference

rdataset-drc-vinclozolin’s home link.

R package

drc

R Dataset

vinclozolin

588. Gender bias among graduate school admissions to UC Berkeley.

name

rdataset-dslabs-admissions

reference

rdataset-dslabs-admissions’s home link.

R package

dslabs

R Dataset

admissions

589. Breast Cancer Wisconsin Diagnostic Dataset from UCI Machine Learning Repository

name

rdataset-dslabs-brca

reference

rdataset-dslabs-brca’s home link.

R package

dslabs

R Dataset

brca

590. Brexit Poll Data

name

rdataset-dslabs-brexit_polls

reference

rdataset-dslabs-brexit_polls’s home link.

R package

dslabs

R Dataset

brexit_polls

591. 2015 US Period Life Table

name

rdataset-dslabs-death_prob

reference

rdataset-dslabs-death_prob’s home link.

R package

dslabs

R Dataset

death_prob

592. Divorce rate and margarine consumption data

name

rdataset-dslabs-divorce_margarine

reference

rdataset-dslabs-divorce_margarine’s home link.

R package

dslabs

R Dataset

divorce_margarine

593. Gapminder Data

name

rdataset-dslabs-gapminder

reference

rdataset-dslabs-gapminder’s home link.

R package

dslabs

R Dataset

gapminder

594. Greenhouse gas concentrations over 2000 years

name

rdataset-dslabs-greenhouse_gases

reference

rdataset-dslabs-greenhouse_gases’s home link.

R package

dslabs

R Dataset

greenhouse_gases

595. Self-Reported Heights

name

rdataset-dslabs-heights

reference

rdataset-dslabs-heights’s home link.

R package

dslabs

R Dataset

heights

596. Atmospheric carbon dioxide concentration over 800,000 years

name

rdataset-dslabs-historic_co2

reference

rdataset-dslabs-historic_co2’s home link.

R package

dslabs

R Dataset

historic_co2

597. Movie ratings

name

rdataset-dslabs-movielens

reference

rdataset-dslabs-movielens’s home link.

R package

dslabs

R Dataset

movielens

598. US gun murders by state for 2010

name

rdataset-dslabs-murders

reference

rdataset-dslabs-murders’s home link.

R package

dslabs

R Dataset

murders

599. Count data with some missing values

name

rdataset-dslabs-na_example

reference

rdataset-dslabs-na_example’s home link.

R package

dslabs

R Dataset

na_example

600. NYC Regents exams scores 2010

name

rdataset-dslabs-nyc_regents_scores

reference

rdataset-dslabs-nyc_regents_scores’s home link.

R package

dslabs

R Dataset

nyc_regents_scores

601. Gapminder Data

name

rdataset-dslabs-oecd (gapminder)

reference

rdataset-dslabs-oecd (gapminder)’s home link.

R package

dslabs

R Dataset

oecd (gapminder)

602. Italian olive

name

rdataset-dslabs-olive

reference

rdataset-dslabs-olive’s home link.

R package

dslabs

R Dataset

olive

603. Gapminder Data

name

rdataset-dslabs-opec (gapminder)

reference

rdataset-dslabs-opec (gapminder)’s home link.

R package

dslabs

R Dataset

opec (gapminder)

604. Adult male heights in feet with outliers

name

rdataset-dslabs-outlier_example

reference

rdataset-dslabs-outlier_example’s home link.

R package

dslabs

R Dataset

outlier_example

605. Poll data for popular vote in 2008 presidential election

name

rdataset-dslabs-polls_2008

reference

rdataset-dslabs-polls_2008’s home link.

R package

dslabs

R Dataset

polls_2008

606. Fivethirtyeight 2016 Poll Data

name

rdataset-dslabs-polls_us_election_2016

reference

rdataset-dslabs-polls_us_election_2016’s home link.

R package

dslabs

R Dataset

polls_us_election_2016

607. Gender bias in research funding in the Netherlands

name

rdataset-dslabs-raw_data_research_funding_rates

reference

rdataset-dslabs-raw_data_research_funding_rates’s home link.

R package

dslabs

R Dataset

raw_data_research_funding_rates

608. Self-reported Heights

name

rdataset-dslabs-reported_heights

reference

rdataset-dslabs-reported_heights’s home link.

R package

dslabs

R Dataset

reported_heights

609. Gender bias in research funding in the Netherlands

name

rdataset-dslabs-research_funding_rates

reference

rdataset-dslabs-research_funding_rates’s home link.

R package

dslabs

R Dataset

research_funding_rates

610. Fivethirtyeight 2016 Poll Data

name

rdataset-dslabs-results_us_election_2016 (polls_us_election_2016)

reference

rdataset-dslabs-results_us_election_2016 (polls_us_election_2016)’s home link.

R package

dslabs

R Dataset

results_us_election_2016 (polls_us_election_2016)

611. Physical Properties of Stars

name

rdataset-dslabs-stars

reference

rdataset-dslabs-stars’s home link.

R package

dslabs

R Dataset

stars

612. Global temperature anomaly and carbon emissions, 1751-2018

name

rdataset-dslabs-temp_carbon

reference

rdataset-dslabs-temp_carbon’s home link.

R package

dslabs

R Dataset

temp_carbon

613. Gene expression profiles for 189 biological samples taken from seven different tissue types.

name

rdataset-dslabs-tissue_gene_expression

reference

rdataset-dslabs-tissue_gene_expression’s home link.

R package

dslabs

R Dataset

tissue_gene_expression

614. Trump Tweets from2009 to 2017

name

rdataset-dslabs-trump_tweets

reference

rdataset-dslabs-trump_tweets’s home link.

R package

dslabs

R Dataset

trump_tweets

615. Contagious disease data for US states

name

rdataset-dslabs-us_contagious_diseases

reference

rdataset-dslabs-us_contagious_diseases’s home link.

R package

dslabs

R Dataset

us_contagious_diseases

616. Ship Accidents

name

rdataset-ecdat-accident

reference

rdataset-ecdat-accident’s home link.

R package

ecdat

R Dataset

accident

617. Accountants and Auditors in the US 1850-2016

name

rdataset-ecdat-accountantsauditorspct

reference

rdataset-ecdat-accountantsauditorspct’s home link.

R package

ecdat

R Dataset

accountantsauditorspct

618. Cost for U.S. Airlines

name

rdataset-ecdat-airline

reference

rdataset-ecdat-airline’s home link.

R package

ecdat

R Dataset

airline

619. Air Quality for Californian Metropolitan Areas

name

rdataset-ecdat-airq

reference

rdataset-ecdat-airq’s home link.

R package

ecdat

R Dataset

airq

620. Countries in Banking Crises

name

rdataset-ecdat-bankingcrises

reference

rdataset-ecdat-bankingcrises’s home link.

R package

ecdat

R Dataset

bankingcrises

621. Unemployment of Blue Collar Workers

name

rdataset-ecdat-benefits

reference

rdataset-ecdat-benefits’s home link.

R package

ecdat

R Dataset

benefits

622. Bids Received By U.S. Firms

name

rdataset-ecdat-bids

reference

rdataset-ecdat-bids’s home link.

R package

ecdat

R Dataset

bids

623. Cyber Security Breaches

name

rdataset-ecdat-breaches

reference

rdataset-ecdat-breaches’s home link.

R package

ecdat

R Dataset

breaches

624. Budget Share of Food for Spanish Households

name

rdataset-ecdat-budgetfood

reference

rdataset-ecdat-budgetfood’s home link.

R package

ecdat

R Dataset

budgetfood

625. Budget Shares for Italian Households

name

rdataset-ecdat-budgetitaly

reference

rdataset-ecdat-budgetitaly’s home link.

R package

ecdat

R Dataset

budgetitaly

626. Budget Shares of British Households

name

rdataset-ecdat-budgetuk

reference

rdataset-ecdat-budgetuk’s home link.

R package

ecdat

R Dataset

budgetuk

627. Wages in Belgium

name

rdataset-ecdat-bwages

reference

rdataset-ecdat-bwages’s home link.

R package

ecdat

R Dataset

bwages

628. Stock Market Data

name

rdataset-ecdat-capm

reference

rdataset-ecdat-capm’s home link.

R package

ecdat

R Dataset

capm

629. Stated Preferences for Car Choice

name

rdataset-ecdat-car

reference

rdataset-ecdat-car’s home link.

R package

ecdat

R Dataset

car

630. The California Test Score Data Set

name

rdataset-ecdat-caschool

reference

rdataset-ecdat-caschool’s home link.

R package

ecdat

R Dataset

caschool

631. Choice of Brand for Catsup

name

rdataset-ecdat-catsup

reference

rdataset-ecdat-catsup’s home link.

R package

ecdat

R Dataset

catsup

632. Cigarette Consumption

name

rdataset-ecdat-cigar

reference

rdataset-ecdat-cigar’s home link.

R package

ecdat

R Dataset

cigar

633. The Cigarette Consumption Panel Data Set

name

rdataset-ecdat-cigarette

reference

rdataset-ecdat-cigarette’s home link.

R package

ecdat

R Dataset

cigarette

634. Sales Data of Men’s Fashion Stores

name

rdataset-ecdat-clothing

reference

rdataset-ecdat-clothing’s home link.

R package

ecdat

R Dataset

clothing

635. Prices of Personal Computers

name

rdataset-ecdat-computers

reference

rdataset-ecdat-computers’s home link.

R package

ecdat

R Dataset

computers

636. Quarterly Data on Consumption and Expenditure

name

rdataset-ecdat-consumption

reference

rdataset-ecdat-consumption’s home link.

R package

ecdat

R Dataset

consumption

637. Global cooling from a nuclear war

name

rdataset-ecdat-coolingfromnuclearwar

reference

rdataset-ecdat-coolingfromnuclearwar’s home link.

R package

ecdat

R Dataset

coolingfromnuclearwar

638. Earnings from the Current Population Survey

name

rdataset-ecdat-cpsch3

reference

rdataset-ecdat-cpsch3’s home link.

R package

ecdat

R Dataset

cpsch3

639. Choice of Brand for Crackers

name

rdataset-ecdat-cracker

reference

rdataset-ecdat-cracker’s home link.

R package

ecdat

R Dataset

cracker

640. Growth of CRAN

name

rdataset-ecdat-cranpackages

reference

rdataset-ecdat-cranpackages’s home link.

R package

ecdat

R Dataset

cranpackages

641. Crime in North Carolina

name

rdataset-ecdat-crime

reference

rdataset-ecdat-crime’s home link.

R package

ecdat

R Dataset

crime

642. Daily Returns from the CRSP Database

name

rdataset-ecdat-crspday

reference

rdataset-ecdat-crspday’s home link.

R package

ecdat

R Dataset

crspday

643. Monthly Returns from the CRSP Database

name

rdataset-ecdat-crspmon

reference

rdataset-ecdat-crspmon’s home link.

R package

ecdat

R Dataset

crspmon

644. Pricing the C’s of Diamond Stones

name

rdataset-ecdat-diamond

reference

rdataset-ecdat-diamond’s home link.

R package

ecdat

R Dataset

diamond

645. DM Dollar Exchange Rate

name

rdataset-ecdat-dm

reference

rdataset-ecdat-dm’s home link.

R package

ecdat

R Dataset

dm

646. Number of Doctor Visits

name

rdataset-ecdat-doctor

reference

rdataset-ecdat-doctor’s home link.

R package

ecdat

R Dataset

doctor

647. Doctor Visits in Australia

name

rdataset-ecdat-doctoraus

reference

rdataset-ecdat-doctoraus’s home link.

R package

ecdat

R Dataset

doctoraus

648. Contacts With Medical Doctor

name

rdataset-ecdat-doctorcontacts

reference

rdataset-ecdat-doctorcontacts’s home link.

R package

ecdat

R Dataset

doctorcontacts

649. Earnings for Three Age Groups

name

rdataset-ecdat-earnings

reference

rdataset-ecdat-earnings’s home link.

R package

ecdat

R Dataset

earnings

650. Cost Function for Electricity Producers

name

rdataset-ecdat-electricity

reference

rdataset-ecdat-electricity’s home link.

R package

ecdat

R Dataset

electricity

651. Extramarital Affairs Data

name

rdataset-ecdat-fair

reference

rdataset-ecdat-fair’s home link.

R package

ecdat

R Dataset

fair

652. Drunk Driving Laws and Traffic Deaths

name

rdataset-ecdat-fatality

reference

rdataset-ecdat-fatality’s home link.

R package

ecdat

R Dataset

fatality

653. Choice of Fishing Mode

name

rdataset-ecdat-fishing

reference

rdataset-ecdat-fishing’s home link.

R package

ecdat

R Dataset

fishing

654. Exchange Rates of US Dollar Against Other Currencies

name

rdataset-ecdat-forward

reference

rdataset-ecdat-forward’s home link.

R package

ecdat

R Dataset

forward

655. Data from the Television Game Show Friend Or Foe ?

name

rdataset-ecdat-friendfoe

reference

rdataset-ecdat-friendfoe’s home link.

R package

ecdat

R Dataset

friendfoe

656. Daily Observations on Exchange Rates of the US Dollar Against Other Currencies

name

rdataset-ecdat-garch

reference

rdataset-ecdat-garch’s home link.

R package

ecdat

R Dataset

garch

657. Gasoline Consumption

name

rdataset-ecdat-gasoline

reference

rdataset-ecdat-gasoline’s home link.

R package

ecdat

R Dataset

gasoline

658. Wage Data

name

rdataset-ecdat-griliches

reference

rdataset-ecdat-griliches’s home link.

R package

ecdat

R Dataset

griliches

659. Grunfeld Investment Data

name

rdataset-ecdat-grunfeld

reference

rdataset-ecdat-grunfeld’s home link.

R package

ecdat

R Dataset

grunfeld

660. Heating and Cooling System Choice in Newly Built Houses in California

name

rdataset-ecdat-hc

reference

rdataset-ecdat-hc’s home link.

R package

ecdat

R Dataset

hc

661. The Boston HMDA Data Set

name

rdataset-ecdat-hdma

reference

rdataset-ecdat-hdma’s home link.

R package

ecdat

R Dataset

hdma

662. Heating System Choice in California Houses

name

rdataset-ecdat-heating

reference

rdataset-ecdat-heating’s home link.

R package

ecdat

R Dataset

heating

663. Hedonic Prices of Census Tracts in Boston

name

rdataset-ecdat-hedonic

reference

rdataset-ecdat-hedonic’s home link.

R package

ecdat

R Dataset

hedonic

664. Cybersecurity breaches reported to the US Department of Health and Human Services

name

rdataset-ecdat-hhscybersecuritybreaches

reference

rdataset-ecdat-hhscybersecuritybreaches’s home link.

R package

ecdat

R Dataset

hhscybersecuritybreaches

665. Health Insurance and Hours Worked By Wives

name

rdataset-ecdat-hi

reference

rdataset-ecdat-hi’s home link.

R package

ecdat

R Dataset

hi

666. The Boston HMDA Data Set

name

rdataset-ecdat-hmda

reference

rdataset-ecdat-hmda’s home link.

R package

ecdat

R Dataset

hmda

667. Sales Prices of Houses in the City of Windsor

name

rdataset-ecdat-housing

reference

rdataset-ecdat-housing’s home link.

R package

ecdat

R Dataset

housing

668. Housing Starts

name

rdataset-ecdat-hstarts

reference

rdataset-ecdat-hstarts’s home link.

R package

ecdat

R Dataset

hstarts

669. Ice Cream Consumption

name

rdataset-ecdat-icecream

reference

rdataset-ecdat-icecream’s home link.

R package

ecdat

R Dataset

icecream

670. Global Terrorism Database yearly summaries

name

rdataset-ecdat-incidents.bycountryyr

reference

rdataset-ecdat-incidents.bycountryyr’s home link.

R package

ecdat

R Dataset

incidents.bycountryyr

671. Income Inequality in the US

name

rdataset-ecdat-incomeinequality

reference

rdataset-ecdat-incomeinequality’s home link.

R package

ecdat

R Dataset

incomeinequality

672. Seasonally Unadjusted Quarterly Data on Disposable Income and Expenditure

name

rdataset-ecdat-incomeuk

reference

rdataset-ecdat-incomeuk’s home link.

R package

ecdat

R Dataset

incomeuk

673. Monthly Interest Rates

name

rdataset-ecdat-irates

reference

rdataset-ecdat-irates’s home link.

R package

ecdat

R Dataset

irates

674. Economic Journals Data Set

name

rdataset-ecdat-journals

reference

rdataset-ecdat-journals’s home link.

R package

ecdat

R Dataset

journals

675. Willingness to Pay for the Preservation of the Kakadu National Park

name

rdataset-ecdat-kakadu

reference

rdataset-ecdat-kakadu’s home link.

R package

ecdat

R Dataset

kakadu

676. Choice of Brand for Ketchup

name

rdataset-ecdat-ketchup

reference

rdataset-ecdat-ketchup’s home link.

R package

ecdat

R Dataset

ketchup

677. Klein’s Model I

name

rdataset-ecdat-klein

reference

rdataset-ecdat-klein’s home link.

R package

ecdat

R Dataset

klein

678. Wages and Hours Worked

name

rdataset-ecdat-laborsupply

reference

rdataset-ecdat-laborsupply’s home link.

R package

ecdat

R Dataset

laborsupply

679. Belgian Firms

name

rdataset-ecdat-labour

reference

rdataset-ecdat-labour’s home link.

R package

ecdat

R Dataset

labour

680. The Longley Data

name

rdataset-ecdat-longley

reference

rdataset-ecdat-longley’s home link.

R package

ecdat

R Dataset

longley

681. Dollar Sterling Exchange Rate

name

rdataset-ecdat-lt

reference

rdataset-ecdat-lt’s home link.

R package

ecdat

R Dataset

lt

682. Macroeconomic Time Series for the United States

name

rdataset-ecdat-macrodat

reference

rdataset-ecdat-macrodat’s home link.

R package

ecdat

R Dataset

macrodat

683. Wages and Education of Young Males

name

rdataset-ecdat-males

reference

rdataset-ecdat-males’s home link.

R package

ecdat

R Dataset

males

684. Manufacturing Costs

name

rdataset-ecdat-manufcost

reference

rdataset-ecdat-manufcost’s home link.

R package

ecdat

R Dataset

manufcost

685. Level of Calculus Attained for Students Taking Advanced Micro-economics

name

rdataset-ecdat-mathlevel

reference

rdataset-ecdat-mathlevel’s home link.

R package

ecdat

R Dataset

mathlevel

686. The Massachusetts Test Score Data Set

name

rdataset-ecdat-mcas

reference

rdataset-ecdat-mcas’s home link.

R package

ecdat

R Dataset

mcas

687. Structure of Demand for Medical Care

name

rdataset-ecdat-medexp

reference

rdataset-ecdat-medexp’s home link.

R package

ecdat

R Dataset

medexp

688. Production for SIC 33

name

rdataset-ecdat-metal

reference

rdataset-ecdat-metal’s home link.

R package

ecdat

R Dataset

metal

689. Inflation and Interest Rates

name

rdataset-ecdat-mishkin

reference

rdataset-ecdat-mishkin’s home link.

R package

ecdat

R Dataset

mishkin

690. Mode Choice

name

rdataset-ecdat-mode

reference

rdataset-ecdat-mode’s home link.

R package

ecdat

R Dataset

mode

691. Data to Study Travel Mode Choice

name

rdataset-ecdat-modechoice

reference

rdataset-ecdat-modechoice’s home link.

R package

ecdat

R Dataset

modechoice

692. International Expansion of U.S. MOFAs (majority-owned Foreign Affiliates in Fire (finance, Insurance and Real Estate)

name

rdataset-ecdat-mofa

reference

rdataset-ecdat-mofa’s home link.

R package

ecdat

R Dataset

mofa

693. Money, GDP and Interest Rate in Canada

name

rdataset-ecdat-money

reference

rdataset-ecdat-money’s home link.

R package

ecdat

R Dataset

money

694. Macroeconomic Series for the United States

name

rdataset-ecdat-moneyus

reference

rdataset-ecdat-moneyus’s home link.

R package

ecdat

R Dataset

moneyus

695. Money, National Product and Interest Rate

name

rdataset-ecdat-mpyr

reference

rdataset-ecdat-mpyr’s home link.

R package

ecdat

R Dataset

mpyr

696. Labor Supply Data

name

rdataset-ecdat-mroz

reference

rdataset-ecdat-mroz’s home link.

R package

ecdat

R Dataset

mroz

697. Municipal Expenditure Data

name

rdataset-ecdat-munexp

reference

rdataset-ecdat-munexp’s home link.

R package

ecdat

R Dataset

munexp

698. Growth of Disposable Income and Treasury Bill Rate

name

rdataset-ecdat-mw

reference

rdataset-ecdat-mw’s home link.

R package

ecdat

R Dataset

mw

699. Willingness to Pay for the Preservation of the Alentejo Natural Park

name

rdataset-ecdat-naturalpark

reference

rdataset-ecdat-naturalpark’s home link.

R package

ecdat

R Dataset

naturalpark

700. Cost Function for Electricity Producers, 1955

name

rdataset-ecdat-nerlove

reference

rdataset-ecdat-nerlove’s home link.

R package

ecdat

R Dataset

nerlove

701. Global Terrorism Database yearly summaries

name

rdataset-ecdat-nkill.bycountryyr

reference

rdataset-ecdat-nkill.bycountryyr’s home link.

R package

ecdat

R Dataset

nkill.bycountryyr

702. Names with Character Set Problems

name

rdataset-ecdat-nonenglishnames

reference

rdataset-ecdat-nonenglishnames’s home link.

R package

ecdat

R Dataset

nonenglishnames

703. Nations with nuclear weapons

name

rdataset-ecdat-nuclearweaponstates

reference

rdataset-ecdat-nuclearweaponstates’s home link.

R package

ecdat

R Dataset

nuclearweaponstates

704. Evolution of occupational distribution in the US

name

rdataset-ecdat-occ1950

reference

rdataset-ecdat-occ1950’s home link.

R package

ecdat

R Dataset

occ1950

705. Visits to Physician Office

name

rdataset-ecdat-ofp

reference

rdataset-ecdat-ofp’s home link.

R package

ecdat

R Dataset

ofp

706. Oil Investment

name

rdataset-ecdat-oil

reference

rdataset-ecdat-oil’s home link.

R package

ecdat

R Dataset

oil

707. The Orange Juice Data Set

name

rdataset-ecdat-orange

reference

rdataset-ecdat-orange’s home link.

R package

ecdat

R Dataset

orange

708. Labor Force Participation

name

rdataset-ecdat-participation

reference

rdataset-ecdat-participation’s home link.

R package

ecdat

R Dataset

participation

709. Dynamic Relation Between Patents and R&D

name

rdataset-ecdat-patentshgh

reference

rdataset-ecdat-patentshgh’s home link.

R package

ecdat

R Dataset

patentshgh

710. Patents, R&D and Technological Spillovers for a Panel of Firms

name

rdataset-ecdat-patentsrd

reference

rdataset-ecdat-patentsrd’s home link.

R package

ecdat

R Dataset

patentsrd

711. Price and Earnings Index

name

rdataset-ecdat-pe

reference

rdataset-ecdat-pe’s home link.

R package

ecdat

R Dataset

pe

712. Political knowledge in the US and Europe

name

rdataset-ecdat-politicalknowledge

reference

rdataset-ecdat-politicalknowledge’s home link.

R package

ecdat

R Dataset

politicalknowledge

713. Pound-dollar Exchange Rate

name

rdataset-ecdat-pound

reference

rdataset-ecdat-pound’s home link.

R package

ecdat

R Dataset

pound

714. Exchange Rates and Price Indices for France and Italy

name

rdataset-ecdat-ppp

reference

rdataset-ecdat-ppp’s home link.

R package

ecdat

R Dataset

ppp

715. Returns of Size-based Portfolios

name

rdataset-ecdat-pricing

reference

rdataset-ecdat-pricing’s home link.

R package

ecdat

R Dataset

pricing

716. Us States Production

name

rdataset-ecdat-produc

reference

rdataset-ecdat-produc’s home link.

R package

ecdat

R Dataset

produc

717. Panel Survey of Income Dynamics

name

rdataset-ecdat-psid

reference

rdataset-ecdat-psid’s home link.

R package

ecdat

R Dataset

psid

718. Return to Schooling

name

rdataset-ecdat-retschool

reference

rdataset-ecdat-retschool’s home link.

R package

ecdat

R Dataset

retschool

719. Wages and Schooling

name

rdataset-ecdat-schooling

reference

rdataset-ecdat-schooling’s home link.

R package

ecdat

R Dataset

schooling

720. Solow’s Technological Change Data

name

rdataset-ecdat-solow

reference

rdataset-ecdat-solow’s home link.

R package

ecdat

R Dataset

solow

721. Visits to Lake Somerville

name

rdataset-ecdat-somerville

reference

rdataset-ecdat-somerville’s home link.

R package

ecdat

R Dataset

somerville

722. Returns on Standard & Poor’s 500 Index

name

rdataset-ecdat-sp500

reference

rdataset-ecdat-sp500’s home link.

R package

ecdat

R Dataset

sp500

723. Effects on Learning of Small Class Sizes

name

rdataset-ecdat-star

reference

rdataset-ecdat-star’s home link.

R package

ecdat

R Dataset

star

724. Strike Duration Data

name

rdataset-ecdat-strike

reference

rdataset-ecdat-strike’s home link.

R package

ecdat

R Dataset

strike

725. Strikes Duration

name

rdataset-ecdat-strikedur

reference

rdataset-ecdat-strikedur’s home link.

R package

ecdat

R Dataset

strikedur

726. Number of Strikes in Us Manufacturing

name

rdataset-ecdat-strikenb

reference

rdataset-ecdat-strikenb’s home link.

R package

ecdat

R Dataset

strikenb

727. The Penn Table

name

rdataset-ecdat-sumhes

reference

rdataset-ecdat-sumhes’s home link.

R package

ecdat

R Dataset

sumhes

728. Interest Rate, GDP and Inflation

name

rdataset-ecdat-tbrate

reference

rdataset-ecdat-tbrate’s home link.

R package

ecdat

R Dataset

tbrate

729. Global Terrorism Database yearly summaries

name

rdataset-ecdat-terrorism

reference

rdataset-ecdat-terrorism’s home link.

R package

ecdat

R Dataset

terrorism

730. Households Tobacco Budget Share

name

rdataset-ecdat-tobacco

reference

rdataset-ecdat-tobacco’s home link.

R package

ecdat

R Dataset

tobacco

731. Stated Preferences for Train Traveling

name

rdataset-ecdat-train

reference

rdataset-ecdat-train’s home link.

R package

ecdat

R Dataset

train

732. Statewide Data on Transportation Equipment Manufacturing

name

rdataset-ecdat-transpeq

reference

rdataset-ecdat-transpeq’s home link.

R package

ecdat

R Dataset

transpeq

733. Evaluating Treatment Effect of Training on Earnings

name

rdataset-ecdat-treatment

reference

rdataset-ecdat-treatment’s home link.

R package

ecdat

R Dataset

treatment

734. Choice of Brand for Tuna

name

rdataset-ecdat-tuna

reference

rdataset-ecdat-tuna’s home link.

R package

ecdat

R Dataset

tuna

735. Unemployment Duration

name

rdataset-ecdat-unempdur

reference

rdataset-ecdat-unempdur’s home link.

R package

ecdat

R Dataset

unempdur

736. Unemployment Duration

name

rdataset-ecdat-unemployment

reference

rdataset-ecdat-unemployment’s home link.

R package

ecdat

R Dataset

unemployment

737. Provision of University Teaching and Research

name

rdataset-ecdat-university

reference

rdataset-ecdat-university’s home link.

R package

ecdat

R Dataset

university

738. Official Secrecy of the United States Government

name

rdataset-ecdat-usclassifieddocuments

reference

rdataset-ecdat-usclassifieddocuments’s home link.

R package

ecdat

R Dataset

usclassifieddocuments

739. US Finance Industry Profits

name

rdataset-ecdat-usfinanceindustry

reference

rdataset-ecdat-usfinanceindustry’s home link.

R package

ecdat

R Dataset

usfinanceindustry

740. US GDP per capita with presidents and wars

name

rdataset-ecdat-usgdppresidents

reference

rdataset-ecdat-usgdppresidents’s home link.

R package

ecdat

R Dataset

usgdppresidents

741. US incarcerations 1925 onward

name

rdataset-ecdat-usincarcerations

reference

rdataset-ecdat-usincarcerations’s home link.

R package

ecdat

R Dataset

usincarcerations

742. US newspaper revenue 1956 - 2020

name

rdataset-ecdat-usnewspapers

reference

rdataset-ecdat-usnewspapers’s home link.

R package

ecdat

R Dataset

usnewspapers

743. US Postal Service

name

rdataset-ecdat-usps

reference

rdataset-ecdat-usps’s home link.

R package

ecdat

R Dataset

usps

744. Standard abbreviations for states of the United States

name

rdataset-ecdat-usstateabbreviations

reference

rdataset-ecdat-usstateabbreviations’s home link.

R package

ecdat

R Dataset

usstateabbreviations

745. Number of Words in US Tax Law

name

rdataset-ecdat-ustaxwords

reference

rdataset-ecdat-ustaxwords’s home link.

R package

ecdat

R Dataset

ustaxwords

746. Medical Expenses in Vietnam (household Level)

name

rdataset-ecdat-vietnamh

reference

rdataset-ecdat-vietnamh’s home link.

R package

ecdat

R Dataset

vietnamh

747. Medical Expenses in Vietnam (individual Level)

name

rdataset-ecdat-vietnami

reference

rdataset-ecdat-vietnami’s home link.

R package

ecdat

R Dataset

vietnami

748. Panel Data of Individual Wages

name

rdataset-ecdat-wages

reference

rdataset-ecdat-wages’s home link.

R package

ecdat

R Dataset

wages

749. Wages, Experience and Schooling

name

rdataset-ecdat-wages1

reference

rdataset-ecdat-wages1’s home link.

R package

ecdat

R Dataset

wages1

750. Wife Working Hours

name

rdataset-ecdat-workinghours

reference

rdataset-ecdat-workinghours’s home link.

R package

ecdat

R Dataset

workinghours

751. Yen-dollar Exchange Rate

name

rdataset-ecdat-yen

reference

rdataset-ecdat-yen’s home link.

R package

ecdat

R Dataset

yen

752. Choice of Brand for Yogurts

name

rdataset-ecdat-yogurt

reference

rdataset-ecdat-yogurt’s home link.

R package

ecdat

R Dataset

yogurt

753. Daily Log Returns on BMW Share Price

name

rdataset-evir-bmw

reference

rdataset-evir-bmw’s home link.

R package

evir

R Dataset

bmw

754. Danish Fire Insurance Claims

name

rdataset-evir-danish

reference

rdataset-evir-danish’s home link.

R package

evir

R Dataset

danish

755. The River Nidd Data

name

rdataset-evir-nidd.annual

reference

rdataset-evir-nidd.annual’s home link.

R package

evir

R Dataset

nidd.annual

756. The River Nidd Data

name

rdataset-evir-nidd.thresh

reference

rdataset-evir-nidd.thresh’s home link.

R package

evir

R Dataset

nidd.thresh

757. Daily Log Returns on Siemens Share Price

name

rdataset-evir-siemens

reference

rdataset-evir-siemens’s home link.

R package

evir

R Dataset

siemens

758. SP Data to June 1993

name

rdataset-evir-sp.raw

reference

rdataset-evir-sp.raw’s home link.

R package

evir

R Dataset

sp.raw

759. SP Return Data to October 1987

name

rdataset-evir-spto87

reference

rdataset-evir-spto87’s home link.

R package

evir

R Dataset

spto87

760. Australian monthly gas production

name

rdataset-forecast-gas

reference

rdataset-forecast-gas’s home link.

R package

forecast

R Dataset

gas

761. Daily morning gold prices

name

rdataset-forecast-gold

reference

rdataset-forecast-gold’s home link.

R package

forecast

R Dataset

gold

762. Half-hourly electricity demand

name

rdataset-forecast-taylor

reference

rdataset-forecast-taylor’s home link.

R package

forecast

R Dataset

taylor

763. Australian total wine sales

name

rdataset-forecast-wineind

reference

rdataset-forecast-wineind’s home link.

R package

forecast

R Dataset

wineind

764. Quarterly production of woollen yarn in Australia

name

rdataset-forecast-woolyrnq

reference

rdataset-forecast-woolyrnq’s home link.

R package

forecast

R Dataset

woolyrnq

765. Monthly anti-diabetic drug subsidy in Australia from 1991 to 2008.

name

rdataset-fpp2-a10

reference

rdataset-fpp2-a10’s home link.

R package

fpp2

R Dataset

a10

766. International Arrivals to Australia

name

rdataset-fpp2-arrivals

reference

rdataset-fpp2-arrivals’s home link.

R package

fpp2

R Dataset

arrivals

767. Air Transport Passengers Australia

name

rdataset-fpp2-ausair

reference

rdataset-fpp2-ausair’s home link.

R package

fpp2

R Dataset

ausair

768. Quarterly Australian Beer production

name

rdataset-fpp2-ausbeer

reference

rdataset-fpp2-ausbeer’s home link.

R package

fpp2

R Dataset

ausbeer

769. Monthly expenditure on eating out in Australia

name

rdataset-fpp2-auscafe

reference

rdataset-fpp2-auscafe’s home link.

R package

fpp2

R Dataset

auscafe

770. International visitors to Australia

name

rdataset-fpp2-austa

reference

rdataset-fpp2-austa’s home link.

R package

fpp2

R Dataset

austa

771. International Tourists to Australia: Total visitor nights.

name

rdataset-fpp2-austourists

reference

rdataset-fpp2-austourists’s home link.

R package

fpp2

R Dataset

austourists

772. Call volume for a large North American bank

name

rdataset-fpp2-calls

reference

rdataset-fpp2-calls’s home link.

R package

fpp2

R Dataset

calls

773. Retail debit card usage in Iceland.

name

rdataset-fpp2-debitcards

reference

rdataset-fpp2-debitcards’s home link.

R package

fpp2

R Dataset

debitcards

774. Total monthly departures from Australia

name

rdataset-fpp2-departures

reference

rdataset-fpp2-departures’s home link.

R package

fpp2

R Dataset

departures

775. Half-hourly and daily electricity demand for Victoria, Australia, in 2014

name

rdataset-fpp2-elecdaily

reference

rdataset-fpp2-elecdaily’s home link.

R package

fpp2

R Dataset

elecdaily

776. Half-hourly and daily electricity demand for Victoria, Australia, in 2014

name

rdataset-fpp2-elecdemand

reference

rdataset-fpp2-elecdemand’s home link.

R package

fpp2

R Dataset

elecdemand

777. Electrical equipment manufactured in the Euro area.

name

rdataset-fpp2-elecequip

reference

rdataset-fpp2-elecequip’s home link.

R package

fpp2

R Dataset

elecequip

778. Electricity sales to residential customers in South Australia.

name

rdataset-fpp2-elecsales

reference

rdataset-fpp2-elecsales’s home link.

R package

fpp2

R Dataset

elecsales

779. Quarterly retail trade: Euro area.

name

rdataset-fpp2-euretail

reference

rdataset-fpp2-euretail’s home link.

R package

fpp2

R Dataset

euretail

780. US finished motor gasoline product supplied.

name

rdataset-fpp2-gasoline

reference

rdataset-fpp2-gasoline’s home link.

R package

fpp2

R Dataset

gasoline

781. Daily closing stock prices of Google Inc

name

rdataset-fpp2-goog

reference

rdataset-fpp2-goog’s home link.

R package

fpp2

R Dataset

goog

782. Daily closing stock prices of Google Inc

name

rdataset-fpp2-goog200

reference

rdataset-fpp2-goog200’s home link.

R package

fpp2

R Dataset

goog200

783. Rice production (Guinea)

name

rdataset-fpp2-guinearice

reference

rdataset-fpp2-guinearice’s home link.

R package

fpp2

R Dataset

guinearice

784. Monthly corticosteroid drug subsidy in Australia from 1991 to 2008.

name

rdataset-fpp2-h02

reference

rdataset-fpp2-h02’s home link.

R package

fpp2

R Dataset

h02

785. Daily pageviews for the Hyndsight blog. 30 April 2014 to 29 April 2015.

name

rdataset-fpp2-hyndsight

reference

rdataset-fpp2-hyndsight’s home link.

R package

fpp2

R Dataset

hyndsight

786. Insurance quotations and advertising expenditure.

name

rdataset-fpp2-insurance

reference

rdataset-fpp2-insurance’s home link.

R package

fpp2

R Dataset

insurance

787. Livestock (sheep) in Asia, 1961-2007.

name

rdataset-fpp2-livestock

reference

rdataset-fpp2-livestock’s home link.

R package

fpp2

R Dataset

livestock

788. Boston marathon winning times since 1897

name

rdataset-fpp2-marathon

reference

rdataset-fpp2-marathon’s home link.

R package

fpp2

R Dataset

marathon

789. Maximum annual temperatures at Moorabbin Airport, Melbourne

name

rdataset-fpp2-maxtemp

reference

rdataset-fpp2-maxtemp’s home link.

R package

fpp2

R Dataset

maxtemp

790. Total weekly air passenger numbers on Ansett airline flights between Melbourne and Sydney, 1987-1992.

name

rdataset-fpp2-melsyd

reference

rdataset-fpp2-melsyd’s home link.

R package

fpp2

R Dataset

melsyd

791. Winning times in Olympic men’s 400m track final. 1896-2016.

name

rdataset-fpp2-mens400

reference

rdataset-fpp2-mens400’s home link.

R package

fpp2

R Dataset

mens400

792. Annual oil production in Saudi Arabia

name

rdataset-fpp2-oil

reference

rdataset-fpp2-oil’s home link.

R package

fpp2

R Dataset

oil

793. prison

name

rdataset-fpp2-prison

reference

rdataset-fpp2-prison’s home link.

R package

fpp2

R Dataset

prison

794. prison

name

rdataset-fpp2-prisonlf

reference

rdataset-fpp2-prisonlf’s home link.

R package

fpp2

R Dataset

prisonlf

795. Quarterly Australian Electricity production

name

rdataset-fpp2-qauselec

reference

rdataset-fpp2-qauselec’s home link.

R package

fpp2

R Dataset

qauselec

796. Quarterly Australian Portland Cement production

name

rdataset-fpp2-qcement

reference

rdataset-fpp2-qcement’s home link.

R package

fpp2

R Dataset

qcement

797. Quarterly Australian Gas Production

name

rdataset-fpp2-qgas

reference

rdataset-fpp2-qgas’s home link.

R package

fpp2

R Dataset

qgas

798. Annual average sunspot area (1875-2015)

name

rdataset-fpp2-sunspotarea

reference

rdataset-fpp2-sunspotarea’s home link.

R package

fpp2

R Dataset

sunspotarea

799. Growth rates of personal consumption and personal income in the USA.

name

rdataset-fpp2-uschange

reference

rdataset-fpp2-uschange’s home link.

R package

fpp2

R Dataset

uschange

800. Electricity monthly total net generation. January 1973 - June 2013.

name

rdataset-fpp2-usmelec

reference

rdataset-fpp2-usmelec’s home link.

R package

fpp2

R Dataset

usmelec

801. Quarterly visitor nights for various regions of Australia.

name

rdataset-fpp2-visnights

reference

rdataset-fpp2-visnights’s home link.

R package

fpp2

R Dataset

visnights

802. Annual female murder rate (per 100,000 standard population) in the USA. 1950-2004.

name

rdataset-fpp2-wmurders

reference

rdataset-fpp2-wmurders’s home link.

R package

fpp2

R Dataset

wmurders

803. Internal functions for gap

name

rdataset-gap-hg18

reference

rdataset-gap-hg18’s home link.

R package

gap

R Dataset

hg18

804. Internal functions for gap

name

rdataset-gap-hg19

reference

rdataset-gap-hg19’s home link.

R package

gap

R Dataset

hg19

805. Internal functions for gap

name

rdataset-gap-hg38

reference

rdataset-gap-hg38’s home link.

R package

gap

R Dataset

hg38

806. Gapminder color schemes.

name

rdataset-gapminder-continent_colors

reference

rdataset-gapminder-continent_colors’s home link.

R package

gapminder

R Dataset

continent_colors

807. Country codes

name

rdataset-gapminder-country_codes

reference

rdataset-gapminder-country_codes’s home link.

R package

gapminder

R Dataset

country_codes

808. Gapminder color schemes.

name

rdataset-gapminder-country_colors

reference

rdataset-gapminder-country_colors’s home link.

R package

gapminder

R Dataset

country_colors

809. Gapminder data.

name

rdataset-gapminder-gapminder

reference

rdataset-gapminder-gapminder’s home link.

R package

gapminder

R Dataset

gapminder

810. Gapminder data, unfiltered.

name

rdataset-gapminder-gapminder_unfiltered

reference

rdataset-gapminder-gapminder_unfiltered’s home link.

R package

gapminder

R Dataset

gapminder_unfiltered

811. Growth curves of pigs in a 3x3 factorial experiment

name

rdataset-geepack-dietox

reference

rdataset-geepack-dietox’s home link.

R package

geepack

R Dataset

dietox

812. Ordinal Data from Koch

name

rdataset-geepack-koch

reference

rdataset-geepack-koch’s home link.

R package

geepack

R Dataset

koch

813. Data on Obesity from the Muscatine Coronary Risk Factor Study.

name

rdataset-geepack-muscatine

reference

rdataset-geepack-muscatine’s home link.

R package

geepack

R Dataset

muscatine

814. Ohio Children Wheeze Status

name

rdataset-geepack-ohio

reference

rdataset-geepack-ohio’s home link.

R package

geepack

R Dataset

ohio

815. Clustered Ordinal Respiratory Disorder

name

rdataset-geepack-respdis

reference

rdataset-geepack-respdis’s home link.

R package

geepack

R Dataset

respdis

816. Data from a clinical trial comparing two treatments for a respiratory illness

name

rdataset-geepack-respiratory

reference

rdataset-geepack-respiratory’s home link.

R package

geepack

R Dataset

respiratory

817. Epiliptic Seizures

name

rdataset-geepack-seizure

reference

rdataset-geepack-seizure’s home link.

R package

geepack

R Dataset

seizure

818. Growth of Sitka Spruce Trees

name

rdataset-geepack-sitka89

reference

rdataset-geepack-sitka89’s home link.

R package

geepack

R Dataset

sitka89

819. Log-size of 79 Sitka spruce trees

name

rdataset-geepack-spruce

reference

rdataset-geepack-spruce’s home link.

R package

geepack

R Dataset

spruce

820. Prices of over 50,000 round cut diamonds

name

rdataset-ggplot2-diamonds

reference

rdataset-ggplot2-diamonds’s home link.

R package

ggplot2

R Dataset

diamonds

821. US economic time series

name

rdataset-ggplot2-economics

reference

rdataset-ggplot2-economics’s home link.

R package

ggplot2

R Dataset

economics

822. US economic time series

name

rdataset-ggplot2-economics_long

reference

rdataset-ggplot2-economics_long’s home link.

R package

ggplot2

R Dataset

economics_long

823. 2d density estimate of Old Faithful data

name

rdataset-ggplot2-faithfuld

reference

rdataset-ggplot2-faithfuld’s home link.

R package

ggplot2

R Dataset

faithfuld

824. ‘colors()’ in Luv space

name

rdataset-ggplot2-luv_colours

reference

rdataset-ggplot2-luv_colours’s home link.

R package

ggplot2

R Dataset

luv_colours

825. Midwest demographics

name

rdataset-ggplot2-midwest

reference

rdataset-ggplot2-midwest’s home link.

R package

ggplot2

R Dataset

midwest

826. Fuel economy data from 1999 to 2008 for 38 popular models of cars

name

rdataset-ggplot2-mpg

reference

rdataset-ggplot2-mpg’s home link.

R package

ggplot2

R Dataset

mpg

827. An updated and expanded version of the mammals sleep dataset

name

rdataset-ggplot2-msleep

reference

rdataset-ggplot2-msleep’s home link.

R package

ggplot2

R Dataset

msleep

828. Terms of 12 presidents from Eisenhower to Trump

name

rdataset-ggplot2-presidential

reference

rdataset-ggplot2-presidential’s home link.

R package

ggplot2

R Dataset

presidential

829. Vector field of seal movements

name

rdataset-ggplot2-seals

reference

rdataset-ggplot2-seals’s home link.

R package

ggplot2

R Dataset

seals

830. Housing sales in TX

name

rdataset-ggplot2-txhousing

reference

rdataset-ggplot2-txhousing’s home link.

R package

ggplot2

R Dataset

txhousing

831. Movie information and user ratings from IMDB.com.

name

rdataset-ggplot2movies-movies

reference

rdataset-ggplot2movies-movies’s home link.

R package

ggplot2movies

R Dataset

movies

832. Yearly populations of countries from 1960 to 2017

name

rdataset-gt-countrypops

reference

rdataset-gt-countrypops’s home link.

R package

gt

R Dataset

countrypops

833. A toy example tibble for testing with gt: exibble

name

rdataset-gt-exibble

reference

rdataset-gt-exibble’s home link.

R package

gt

R Dataset

exibble

834. Deluxe automobiles from the 2014-2017 period

name

rdataset-gt-gtcars

reference

rdataset-gt-gtcars’s home link.

R package

gt

R Dataset

gtcars

835. A year of pizza sales from a pizza place

name

rdataset-gt-pizzaplace

reference

rdataset-gt-pizzaplace’s home link.

R package

gt

R Dataset

pizzaplace

836. Daily S&P 500 Index data from 1950 to 2015

name

rdataset-gt-sp500

reference

rdataset-gt-sp500’s home link.

R package

gt

R Dataset

sp500

837. Twice hourly solar zenith angles by month & latitude

name

rdataset-gt-sza

reference

rdataset-gt-sza’s home link.

R package

gt

R Dataset

sza

838. Arbuthnot’s data on male and female birth ratios in London from 1629-1710.

name

rdataset-histdata-arbuthnot

reference

rdataset-histdata-arbuthnot’s home link.

R package

histdata

R Dataset

arbuthnot

839. La Felicisima Armada

name

rdataset-histdata-armada

reference

rdataset-histdata-armada’s home link.

R package

histdata

R Dataset

armada

840. Bowley’s data on values of British and Irish trade, 1855-1899

name

rdataset-histdata-bowley

reference

rdataset-histdata-bowley’s home link.

R package

histdata

R Dataset

bowley

841. Cavendish’s Determinations of the Density of the Earth

name

rdataset-histdata-cavendish

reference

rdataset-histdata-cavendish’s home link.

R package

histdata

R Dataset

cavendish

842. Chest measurements of Scottish Militiamen

name

rdataset-histdata-chestsizes

reference

rdataset-histdata-chestsizes’s home link.

R package

histdata

R Dataset

chestsizes

843. Chest measurements of Scottish Militiamen

name

rdataset-histdata-cheststigler

reference

rdataset-histdata-cheststigler’s home link.

R package

histdata

R Dataset

cheststigler

844. William Farr’s Data on Cholera in London, 1849

name

rdataset-histdata-cholera

reference

rdataset-histdata-cholera’s home link.

R package

histdata

R Dataset

cholera

845. Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives

name

rdataset-histdata-cushnypeebles

reference

rdataset-histdata-cushnypeebles’s home link.

R package

histdata

R Dataset

cushnypeebles

846. Cushny-Peebles Data: Soporific Effects of Scopolamine Derivatives

name

rdataset-histdata-cushnypeeblesn

reference

rdataset-histdata-cushnypeeblesn’s home link.

R package

histdata

R Dataset

cushnypeeblesn

847. Edgeworth’s counts of dactyls in Virgil’s Aeneid

name

rdataset-histdata-dactyl

reference

rdataset-histdata-dactyl’s home link.

R package

histdata

R Dataset

dactyl

848. Elderton and Pearson’s (1910) data on drinking and wages

name

rdataset-histdata-drinkswages

reference

rdataset-histdata-drinkswages’s home link.

R package

histdata

R Dataset

drinkswages

849. Edgeworth’s Data on Death Rates in British Counties

name

rdataset-histdata-edgeworthdeaths

reference

rdataset-histdata-edgeworthdeaths’s home link.

R package

histdata

R Dataset

edgeworthdeaths

850. Waite’s data on Patterns in Fingerprints

name

rdataset-histdata-fingerprints

reference

rdataset-histdata-fingerprints’s home link.

R package

histdata

R Dataset

fingerprints

851. Galton’s data on the heights of parents and their children

name

rdataset-histdata-galton

reference

rdataset-histdata-galton’s home link.

R package

histdata

R Dataset

galton

852. Galton’s data on the heights of parents and their children, by child

name

rdataset-histdata-galtonfamilies

reference

rdataset-histdata-galtonfamilies’s home link.

R package

histdata

R Dataset

galtonfamilies

853. Data from A.-M. Guerry, “Essay on the Moral Statistics of France”

name

rdataset-histdata-guerry

reference

rdataset-histdata-guerry’s home link.

R package

histdata

R Dataset

guerry

854. Halley’s Life Table

name

rdataset-histdata-halleylifetable

reference

rdataset-histdata-halleylifetable’s home link.

R package

histdata

R Dataset

halleylifetable

855. W. Stanley Jevons’ data on numerical discrimination

name

rdataset-histdata-jevons

reference

rdataset-histdata-jevons’s home link.

R package

histdata

R Dataset

jevons

856. van Langren’s Data on Longitude Distance between Toledo and Rome

name

rdataset-histdata-langren.all

reference

rdataset-histdata-langren.all’s home link.

R package

histdata

R Dataset

langren.all

857. van Langren’s Data on Longitude Distance between Toledo and Rome

name

rdataset-histdata-langren1644

reference

rdataset-histdata-langren1644’s home link.

R package

histdata

R Dataset

langren1644

858. Macdonell’s Data on Height and Finger Length of Criminals, used by Gosset (1908)

name

rdataset-histdata-macdonell

reference

rdataset-histdata-macdonell’s home link.

R package

histdata

R Dataset

macdonell

859. Macdonell’s Data on Height and Finger Length of Criminals, used by Gosset (1908)

name

rdataset-histdata-macdonelldf

reference

rdataset-histdata-macdonelldf’s home link.

R package

histdata

R Dataset

macdonelldf

860. Michelson’s Determinations of the Velocity of Light

name

rdataset-histdata-michelson

reference

rdataset-histdata-michelson’s home link.

R package

histdata

R Dataset

michelson

861. Michelson’s Determinations of the Velocity of Light

name

rdataset-histdata-michelsonsets

reference

rdataset-histdata-michelsonsets’s home link.

R package

histdata

R Dataset

michelsonsets

862. Data from Minard’s famous graphic map of Napoleon’s march on Moscow

name

rdataset-histdata-minard.cities

reference

rdataset-histdata-minard.cities’s home link.

R package

histdata

R Dataset

minard.cities

863. Data from Minard’s famous graphic map of Napoleon’s march on Moscow

name

rdataset-histdata-minard.temp

reference

rdataset-histdata-minard.temp’s home link.

R package

histdata

R Dataset

minard.temp

864. Data from Minard’s famous graphic map of Napoleon’s march on Moscow

name

rdataset-histdata-minard.troops

reference

rdataset-histdata-minard.troops’s home link.

R package

histdata

R Dataset

minard.troops

865. Florence Nightingale’s data on deaths from various causes in the Crimean War

name

rdataset-histdata-nightingale

reference

rdataset-histdata-nightingale’s home link.

R package

histdata

R Dataset

nightingale

866. Latitudes and Longitudes of 39 Points in 11 Old Maps

name

rdataset-histdata-oldmaps

reference

rdataset-histdata-oldmaps’s home link.

R package

histdata

R Dataset

oldmaps

867. Pearson and Lee’s data on the heights of parents and children classified by gender

name

rdataset-histdata-pearsonlee

reference

rdataset-histdata-pearsonlee’s home link.

R package

histdata

R Dataset

pearsonlee

868. Polio Field Trials Data

name

rdataset-histdata-poliotrials

reference

rdataset-histdata-poliotrials’s home link.

R package

histdata

R Dataset

poliotrials

869. Parent-Duchatelet’s time-series data on the number of prostitutes in Paris

name

rdataset-histdata-prostitutes

reference

rdataset-histdata-prostitutes’s home link.

R package

histdata

R Dataset

prostitutes

870. Trial of the Pyx

name

rdataset-histdata-pyx

reference

rdataset-histdata-pyx’s home link.

R package

histdata

R Dataset

pyx

871. Statistics of Deadly Quarrels

name

rdataset-histdata-quarrels

reference

rdataset-histdata-quarrels’s home link.

R package

histdata

R Dataset

quarrels

872. John Snow’s Map and Data on the 1854 London Cholera Outbreak

name

rdataset-histdata-snow.dates

reference

rdataset-histdata-snow.dates’s home link.

R package

histdata

R Dataset

snow.dates

873. John Snow’s Map and Data on the 1854 London Cholera Outbreak

name

rdataset-histdata-snow.deaths

reference

rdataset-histdata-snow.deaths’s home link.

R package

histdata

R Dataset

snow.deaths

874. John Snow’s Map and Data on the 1854 London Cholera Outbreak

name

rdataset-histdata-snow.deaths2

reference

rdataset-histdata-snow.deaths2’s home link.

R package

histdata

R Dataset

snow.deaths2

875. John Snow’s Map and Data on the 1854 London Cholera Outbreak

name

rdataset-histdata-snow.pumps

reference

rdataset-histdata-snow.pumps’s home link.

R package

histdata

R Dataset

snow.pumps

876. John Snow’s Map and Data on the 1854 London Cholera Outbreak

name

rdataset-histdata-snow.streets

reference

rdataset-histdata-snow.streets’s home link.

R package

histdata

R Dataset

snow.streets

877. John F. W. Herschel’s Data on the Orbit of the Twin Stars gamma _Virginis_

name

rdataset-histdata-virginis

reference

rdataset-histdata-virginis’s home link.

R package

histdata

R Dataset

virginis

878. John F. W. Herschel’s Data on the Orbit of the Twin Stars gamma _Virginis_

name

rdataset-histdata-virginis.interp

reference

rdataset-histdata-virginis.interp’s home link.

R package

histdata

R Dataset

virginis.interp

879. Playfair’s Data on Wages and the Price of Wheat

name

rdataset-histdata-wheat

reference

rdataset-histdata-wheat’s home link.

R package

histdata

R Dataset

wheat

880. Playfair’s Data on Wages and the Price of Wheat

name

rdataset-histdata-wheat.monarchs

reference

rdataset-histdata-wheat.monarchs’s home link.

R package

histdata

R Dataset

wheat.monarchs

881. Student’s (1906) Yeast Cell Counts

name

rdataset-histdata-yeast

reference

rdataset-histdata-yeast’s home link.

R package

histdata

R Dataset

yeast

882. Student’s (1906) Yeast Cell Counts

name

rdataset-histdata-yeastd.mat

reference

rdataset-histdata-yeastd.mat’s home link.

R package

histdata

R Dataset

yeastd.mat

883. Darwin’s Heights of Cross- and Self-fertilized Zea May Pairs

name

rdataset-histdata-zeamays

reference

rdataset-histdata-zeamays’s home link.

R package

histdata

R Dataset

zeamays

884. Methylprednisolone data

name

rdataset-hlmdiag-ahd

reference

rdataset-hlmdiag-ahd’s home link.

R package

hlmdiag

R Dataset

ahd

885. Autism data

name

rdataset-hlmdiag-autism

reference

rdataset-hlmdiag-autism’s home link.

R package

hlmdiag

R Dataset

autism

886. Radon data

name

rdataset-hlmdiag-radon

reference

rdataset-hlmdiag-radon’s home link.

R package

hlmdiag

R Dataset

radon

887. Wages for male high school dropouts

name

rdataset-hlmdiag-wages

reference

rdataset-hlmdiag-wages’s home link.

R package

hlmdiag

R Dataset

wages

888. Total Body Composision Data

name

rdataset-hsaur-agefat

reference

rdataset-hsaur-agefat’s home link.

R package

hsaur

R Dataset

agefat

889. Aspirin Data

name

rdataset-hsaur-aspirin

reference

rdataset-hsaur-aspirin’s home link.

R package

hsaur

R Dataset

aspirin

890. BCG Vaccine Data

name

rdataset-hsaur-bcg

reference

rdataset-hsaur-bcg’s home link.

R package

hsaur

R Dataset

bcg

891. Birth and Death Rates Data

name

rdataset-hsaur-birthdeathrates

reference

rdataset-hsaur-birthdeathrates’s home link.

R package

hsaur

R Dataset

birthdeathrates

892. Bladder Cancer Data

name

rdataset-hsaur-bladdercancer

reference

rdataset-hsaur-bladdercancer’s home link.

R package

hsaur

R Dataset

bladdercancer

893. Beat the Blues Data

name

rdataset-hsaur-btheb

reference

rdataset-hsaur-btheb’s home link.

R package

hsaur

R Dataset

btheb

894. Cloud Seeding Data

name

rdataset-hsaur-clouds

reference

rdataset-hsaur-clouds’s home link.

R package

hsaur

R Dataset

clouds

895. CYG OB1 Star Cluster Data

name

rdataset-hsaur-cygob1

reference

rdataset-hsaur-cygob1’s home link.

R package

hsaur

R Dataset

cygob1

896. Epilepsy Data

name

rdataset-hsaur-epilepsy

reference

rdataset-hsaur-epilepsy’s home link.

R package

hsaur

R Dataset

epilepsy

897. The Forbes 2000 Ranking of the World’s Biggest Companies (Year 2004)

name

rdataset-hsaur-forbes2000

reference

rdataset-hsaur-forbes2000’s home link.

R package

hsaur

R Dataset

forbes2000

898. Foster Feeding Experiment

name

rdataset-hsaur-foster

reference

rdataset-hsaur-foster’s home link.

R package

hsaur

R Dataset

foster

899. General Health Questionnaire

name

rdataset-hsaur-ghq

reference

rdataset-hsaur-ghq’s home link.

R package

hsaur

R Dataset

ghq

900. Olympic Heptathlon Seoul 1988

name

rdataset-hsaur-heptathlon

reference

rdataset-hsaur-heptathlon’s home link.

R package

hsaur

R Dataset

heptathlon

901. Prevention of Gastointestinal Damages

name

rdataset-hsaur-lanza

reference

rdataset-hsaur-lanza’s home link.

R package

hsaur

R Dataset

lanza

902. Survival Times after Mastectomy of Breast Cancer Patients

name

rdataset-hsaur-mastectomy

reference

rdataset-hsaur-mastectomy’s home link.

R package

hsaur

R Dataset

mastectomy

903. Meteorological Measurements for 11 Years

name

rdataset-hsaur-meteo

reference

rdataset-hsaur-meteo’s home link.

R package

hsaur

R Dataset

meteo

904. Oral Lesions in Rural India

name

rdataset-hsaur-orallesions

reference

rdataset-hsaur-orallesions’s home link.

R package

hsaur

R Dataset

orallesions

905. Phosphate Level Data

name

rdataset-hsaur-phosphate

reference

rdataset-hsaur-phosphate’s home link.

R package

hsaur

R Dataset

phosphate

906. Piston Rings Failures

name

rdataset-hsaur-pistonrings

reference

rdataset-hsaur-pistonrings’s home link.

R package

hsaur

R Dataset

pistonrings

907. Exoplanets Data

name

rdataset-hsaur-planets

reference

rdataset-hsaur-planets’s home link.

R package

hsaur

R Dataset

planets

908. Blood Screening Data

name

rdataset-hsaur-plasma

reference

rdataset-hsaur-plasma’s home link.

R package

hsaur

R Dataset

plasma

909. Familial Andenomatous Polyposis

name

rdataset-hsaur-polyps

reference

rdataset-hsaur-polyps’s home link.

R package

hsaur

R Dataset

polyps

910. Familial Andenomatous Polyposis

name

rdataset-hsaur-polyps3

reference

rdataset-hsaur-polyps3’s home link.

R package

hsaur

R Dataset

polyps3

911. Romano-British Pottery Data

name

rdataset-hsaur-pottery

reference

rdataset-hsaur-pottery’s home link.

R package

hsaur

R Dataset

pottery

912. Rearrests of Juvenile Felons

name

rdataset-hsaur-rearrests

reference

rdataset-hsaur-rearrests’s home link.

R package

hsaur

R Dataset

rearrests

913. Respiratory Illness Data

name

rdataset-hsaur-respiratory

reference

rdataset-hsaur-respiratory’s home link.

R package

hsaur

R Dataset

respiratory

914. Students Estimates of Lecture Room Width

name

rdataset-hsaur-roomwidth

reference

rdataset-hsaur-roomwidth’s home link.

R package

hsaur

R Dataset

roomwidth

915. Age of Onset of Schizophrenia Data

name

rdataset-hsaur-schizophrenia

reference

rdataset-hsaur-schizophrenia’s home link.

R package

hsaur

R Dataset

schizophrenia

916. Schizophrenia Data

name

rdataset-hsaur-schizophrenia2

reference

rdataset-hsaur-schizophrenia2’s home link.

R package

hsaur

R Dataset

schizophrenia2

917. Days not Spent at School

name

rdataset-hsaur-schooldays

reference

rdataset-hsaur-schooldays’s home link.

R package

hsaur

R Dataset

schooldays

918. Egyptian Skulls

name

rdataset-hsaur-skulls

reference

rdataset-hsaur-skulls’s home link.

R package

hsaur

R Dataset

skulls

919. Nicotine Gum and Smoking Cessation

name

rdataset-hsaur-smoking

reference

rdataset-hsaur-smoking’s home link.

R package

hsaur

R Dataset

smoking

920. Student Risk Taking

name

rdataset-hsaur-students

reference

rdataset-hsaur-students’s home link.

R package

hsaur

R Dataset

students

921. Crowd Baiting Behaviour and Suicides

name

rdataset-hsaur-suicides

reference

rdataset-hsaur-suicides’s home link.

R package

hsaur

R Dataset

suicides

922. Toothpaste Data

name

rdataset-hsaur-toothpaste

reference

rdataset-hsaur-toothpaste’s home link.

R package

hsaur

R Dataset

toothpaste

923. House of Representatives Voting Data

name

rdataset-hsaur-voting

reference

rdataset-hsaur-voting’s home link.

R package

hsaur

R Dataset

voting

924. Mortality and Water Hardness

name

rdataset-hsaur-water

reference

rdataset-hsaur-water’s home link.

R package

hsaur

R Dataset

water

925. Water Voles Data

name

rdataset-hsaur-watervoles

reference

rdataset-hsaur-watervoles’s home link.

R package

hsaur

R Dataset

watervoles

926. Electricity from Wave Power at Sea

name

rdataset-hsaur-waves

reference

rdataset-hsaur-waves’s home link.

R package

hsaur

R Dataset

waves

927. Gain in Weight of Rats

name

rdataset-hsaur-weightgain

reference

rdataset-hsaur-weightgain’s home link.

R package

hsaur

R Dataset

weightgain

928. Womens Role in Society

name

rdataset-hsaur-womensrole

reference

rdataset-hsaur-womensrole’s home link.

R package

hsaur

R Dataset

womensrole

929. Observed genotype frequencies at MN and S loci, for 2 populations

name

rdataset-hwde-indianirish

reference

rdataset-hwde-indianirish’s home link.

R package

hwde

R Dataset

indianirish

930. Mendel’s F2 trifactorial data for seed shape (A: round or wrinkled), cotyledon color (B: albumen yellow or green), and seed coat color (C: grey-brown or white)

name

rdataset-hwde-mendelabc

reference

rdataset-hwde-mendelabc’s home link.

R package

hwde

R Dataset

mendelabc

931. Auto Data Set

name

rdataset-islr-auto

reference

rdataset-islr-auto’s home link.

R package

islr

R Dataset

auto

932. The Insurance Company (TIC) Benchmark

name

rdataset-islr-caravan

reference

rdataset-islr-caravan’s home link.

R package

islr

R Dataset

caravan

933. Sales of Child Car Seats

name

rdataset-islr-carseats

reference

rdataset-islr-carseats’s home link.

R package

islr

R Dataset

carseats

934. U.S. News and World Report’s College Data

name

rdataset-islr-college

reference

rdataset-islr-college’s home link.

R package

islr

R Dataset

college

935. Credit Card Balance Data

name

rdataset-islr-credit

reference

rdataset-islr-credit’s home link.

R package

islr

R Dataset

credit

936. Credit Card Default Data

name

rdataset-islr-default

reference

rdataset-islr-default’s home link.

R package

islr

R Dataset

default

937. Baseball Data

name

rdataset-islr-hitters

reference

rdataset-islr-hitters’s home link.

R package

islr

R Dataset

hitters

938. NCI 60 Data

name

rdataset-islr-nci60

reference

rdataset-islr-nci60’s home link.

R package

islr

R Dataset

nci60

939. Orange Juice Data

name

rdataset-islr-oj

reference

rdataset-islr-oj’s home link.

R package

islr

R Dataset

oj

940. Portfolio Data

name

rdataset-islr-portfolio

reference

rdataset-islr-portfolio’s home link.

R package

islr

R Dataset

portfolio

941. S&P Stock Market Data

name

rdataset-islr-smarket

reference

rdataset-islr-smarket’s home link.

R package

islr

R Dataset

smarket

942. Mid-Atlantic Wage Data

name

rdataset-islr-wage

reference

rdataset-islr-wage’s home link.

R package

islr

R Dataset

wage

943. Weekly S&P Stock Market Data

name

rdataset-islr-weekly

reference

rdataset-islr-weekly’s home link.

R package

islr

R Dataset

weekly

944. Raw EEG data, single trial, 50Hz.

name

rdataset-itsadug-eeg

reference

rdataset-itsadug-eeg’s home link.

R package

itsadug

R Dataset

eeg

945. Simulated time series data.

name

rdataset-itsadug-simdat

reference

rdataset-itsadug-simdat’s home link.

R package

itsadug

R Dataset

simdat

946. data from Section 1.19

name

rdataset-kmsurv-aids

reference

rdataset-kmsurv-aids’s home link.

R package

kmsurv

R Dataset

aids

947. data from Section 1.9

name

rdataset-kmsurv-alloauto

reference

rdataset-kmsurv-alloauto’s home link.

R package

kmsurv

R Dataset

alloauto

948. data from Exercise 13.1, p418

name

rdataset-kmsurv-allograft

reference

rdataset-kmsurv-allograft’s home link.

R package

kmsurv

R Dataset

allograft

949. data from Exercise 4.7, p122

name

rdataset-kmsurv-azt

reference

rdataset-kmsurv-azt’s home link.

R package

kmsurv

R Dataset

azt

950. data from Exercise 5.8, p147

name

rdataset-kmsurv-baboon

reference

rdataset-kmsurv-baboon’s home link.

R package

kmsurv

R Dataset

baboon

951. data from Section 1.18

name

rdataset-kmsurv-bcdeter

reference

rdataset-kmsurv-bcdeter’s home link.

R package

kmsurv

R Dataset

bcdeter

952. data from Section 1.14

name

rdataset-kmsurv-bfeed

reference

rdataset-kmsurv-bfeed’s home link.

R package

kmsurv

R Dataset

bfeed

953. data from Section 1.3

name

rdataset-kmsurv-bmt

reference

rdataset-kmsurv-bmt’s home link.

R package

kmsurv

R Dataset

bmt

954. data from Exercise 7.7, p223

name

rdataset-kmsurv-bnct

reference

rdataset-kmsurv-bnct’s home link.

R package

kmsurv

R Dataset

bnct

955. data from Section 1.5

name

rdataset-kmsurv-btrial

reference

rdataset-kmsurv-btrial’s home link.

R package

kmsurv

R Dataset

btrial

956. data from Section 1.6

name

rdataset-kmsurv-burn

reference

rdataset-kmsurv-burn’s home link.

R package

kmsurv

R Dataset

burn

957. data from Section 1.16

name

rdataset-kmsurv-channing

reference

rdataset-kmsurv-channing’s home link.

R package

kmsurv

R Dataset

channing

958. data from Section 1.2

name

rdataset-kmsurv-drug6mp

reference

rdataset-kmsurv-drug6mp’s home link.

R package

kmsurv

R Dataset

drug6mp

959. data from Exercise 7.6, p222

name

rdataset-kmsurv-drughiv

reference

rdataset-kmsurv-drughiv’s home link.

R package

kmsurv

R Dataset

drughiv

960. data from Section 1.10

name

rdataset-kmsurv-hodg

reference

rdataset-kmsurv-hodg’s home link.

R package

kmsurv

R Dataset

hodg

961. data from Section 1.4

name

rdataset-kmsurv-kidney

reference

rdataset-kmsurv-kidney’s home link.

R package

kmsurv

R Dataset

kidney

962. Data on 38 individuals using a kidney dialysis machine

name

rdataset-kmsurv-kidrecurr

reference

rdataset-kmsurv-kidrecurr’s home link.

R package

kmsurv

R Dataset

kidrecurr

963. data from Section 1.7

name

rdataset-kmsurv-kidtran

reference

rdataset-kmsurv-kidtran’s home link.

R package

kmsurv

R Dataset

kidtran

964. data from Section 1.8

name

rdataset-kmsurv-larynx

reference

rdataset-kmsurv-larynx’s home link.

R package

kmsurv

R Dataset

larynx

965. data from Exercise 4.4, p120

name

rdataset-kmsurv-lung

reference

rdataset-kmsurv-lung’s home link.

R package

kmsurv

R Dataset

lung

966. data from Section 1.13

name

rdataset-kmsurv-pneumon

reference

rdataset-kmsurv-pneumon’s home link.

R package

kmsurv

R Dataset

pneumon

967. data from Section 1.15

name

rdataset-kmsurv-psych

reference

rdataset-kmsurv-psych’s home link.

R package

kmsurv

R Dataset

psych

968. data from Exercise 7.13, p225

name

rdataset-kmsurv-rats

reference

rdataset-kmsurv-rats’s home link.

R package

kmsurv

R Dataset

rats

969. data from Section 1.12

name

rdataset-kmsurv-std

reference

rdataset-kmsurv-std’s home link.

R package

kmsurv

R Dataset

std

970. data from Exercise 5.6, p146

name

rdataset-kmsurv-stddiag

reference

rdataset-kmsurv-stddiag’s home link.

R package

kmsurv

R Dataset

stddiag

971. data from Section 1.11

name

rdataset-kmsurv-tongue

reference

rdataset-kmsurv-tongue’s home link.

R package

kmsurv

R Dataset

tongue

972. data from Exercise 7.14, p225

name

rdataset-kmsurv-twins

reference

rdataset-kmsurv-twins’s home link.

R package

kmsurv

R Dataset

twins

973. Yield data from a Minnesota barley trial

name

rdataset-lattice-barley

reference

rdataset-lattice-barley’s home link.

R package

lattice

R Dataset

barley

974. Atmospheric environmental conditions in New York City

name

rdataset-lattice-environmental

reference

rdataset-lattice-environmental’s home link.

R package

lattice

R Dataset

environmental

975. Engine exhaust fumes from burning ethanol

name

rdataset-lattice-ethanol

reference

rdataset-lattice-ethanol’s home link.

R package

lattice

R Dataset

ethanol

976. Melanoma skin cancer incidence

name

rdataset-lattice-melanoma

reference

rdataset-lattice-melanoma’s home link.

R package

lattice

R Dataset

melanoma

977. Heights of New York Choral Society singers

name

rdataset-lattice-singer

reference

rdataset-lattice-singer’s home link.

R package

lattice

R Dataset

singer

978. Mortality Rates in US by Cause and Gender

name

rdataset-lattice-usmortality

reference

rdataset-lattice-usmortality’s home link.

R package

lattice

R Dataset

usmortality

979. Mortality Rates in US by Cause and Gender

name

rdataset-lattice-usregionalmortality

reference

rdataset-lattice-usregionalmortality’s home link.

R package

lattice

R Dataset

usregionalmortality

980. Arabidopsis clipping/fertilization data

name

rdataset-lme4-arabidopsis

reference

rdataset-lme4-arabidopsis’s home link.

R package

lme4

R Dataset

arabidopsis

981. Breakage Angle of Chocolate Cakes

name

rdataset-lme4-cake

reference

rdataset-lme4-cake’s home link.

R package

lme4

R Dataset

cake

982. Contagious bovine pleuropneumonia

name

rdataset-lme4-cbpp

reference

rdataset-lme4-cbpp’s home link.

R package

lme4

R Dataset

cbpp

983. Yield of dyestuff by batch

name

rdataset-lme4-dyestuff

reference

rdataset-lme4-dyestuff’s home link.

R package

lme4

R Dataset

dyestuff

984. Yield of dyestuff by batch

name

rdataset-lme4-dyestuff2

reference

rdataset-lme4-dyestuff2’s home link.

R package

lme4

R Dataset

dyestuff2

985. Data on red grouse ticks from Elston et al. 2001

name

rdataset-lme4-grouseticks

reference

rdataset-lme4-grouseticks’s home link.

R package

lme4

R Dataset

grouseticks

986. Data on red grouse ticks from Elston et al. 2001

name

rdataset-lme4-grouseticks_agg (grouseticks)

reference

rdataset-lme4-grouseticks_agg (grouseticks)’s home link.

R package

lme4

R Dataset

grouseticks_agg (grouseticks)

987. University Lecture/Instructor Evaluations by Students at ETH

name

rdataset-lme4-insteval

reference

rdataset-lme4-insteval’s home link.

R package

lme4

R Dataset

insteval

988. Paste strength by batch and cask

name

rdataset-lme4-pastes

reference

rdataset-lme4-pastes’s home link.

R package

lme4

R Dataset

pastes

989. Variation in penicillin testing

name

rdataset-lme4-penicillin

reference

rdataset-lme4-penicillin’s home link.

R package

lme4

R Dataset

penicillin

990. Reaction times in a sleep deprivation study

name

rdataset-lme4-sleepstudy

reference

rdataset-lme4-sleepstudy’s home link.

R package

lme4

R Dataset

sleepstudy

991. Verbal Aggression item responses

name

rdataset-lme4-verbagg

reference

rdataset-lme4-verbagg’s home link.

R package

lme4

R Dataset

verbagg

992. Data set for Unstructured Treatment Interruption Study

name

rdataset-lmec-utidata

reference

rdataset-lmec-utidata’s home link.

R package

lmec

R Dataset

utidata

993. Determinations of Nickel Content

name

rdataset-mass-abbey

reference

rdataset-mass-abbey’s home link.

R package

mass

R Dataset

abbey

994. Accidental Deaths in the US 1973-1978

name

rdataset-mass-accdeaths

reference

rdataset-mass-accdeaths’s home link.

R package

mass

R Dataset

accdeaths

995. Australian AIDS Survival Data

name

rdataset-mass-aids2

reference

rdataset-mass-aids2’s home link.

R package

mass

R Dataset

aids2

996. Brain and Body Weights for 28 Species

name

rdataset-mass-animals

reference

rdataset-mass-animals’s home link.

R package

mass

R Dataset

animals

997. Anorexia Data on Weight Change

name

rdataset-mass-anorexia

reference

rdataset-mass-anorexia’s home link.

R package

mass

R Dataset

anorexia

998. Presence of Bacteria after Drug Treatments

name

rdataset-mass-bacteria

reference

rdataset-mass-bacteria’s home link.

R package

mass

R Dataset

bacteria

999. Body Temperature Series of Beaver 1

name

rdataset-mass-beav1

reference

rdataset-mass-beav1’s home link.

R package

mass

R Dataset

beav1

1000. Body Temperature Series of Beaver 2

name

rdataset-mass-beav2

reference

rdataset-mass-beav2’s home link.

R package

mass

R Dataset

beav2

1001. Biopsy Data on Breast Cancer Patients

name

rdataset-mass-biopsy

reference

rdataset-mass-biopsy’s home link.

R package

mass

R Dataset

biopsy

1002. Risk Factors Associated with Low Infant Birth Weight

name

rdataset-mass-birthwt

reference

rdataset-mass-birthwt’s home link.

R package

mass

R Dataset

birthwt

1003. Housing Values in Suburbs of Boston

name

rdataset-mass-boston

reference

rdataset-mass-boston’s home link.

R package

mass

R Dataset

boston

1004. Data from a cabbage field trial

name

rdataset-mass-cabbages

reference

rdataset-mass-cabbages’s home link.

R package

mass

R Dataset

cabbages

1005. Colours of Eyes and Hair of People in Caithness

name

rdataset-mass-caith

reference

rdataset-mass-caith’s home link.

R package

mass

R Dataset

caith

1006. Data from 93 Cars on Sale in the USA in 1993

name

rdataset-mass-cars93

reference

rdataset-mass-cars93’s home link.

R package

mass

R Dataset

cars93

1007. Anatomical Data from Domestic Cats

name

rdataset-mass-cats

reference

rdataset-mass-cats’s home link.

R package

mass

R Dataset

cats

1008. Heat Evolved by Setting Cements

name

rdataset-mass-cement

reference

rdataset-mass-cement’s home link.

R package

mass

R Dataset

cement

1009. Copper in Wholemeal Flour

name

rdataset-mass-chem

reference

rdataset-mass-chem’s home link.

R package

mass

R Dataset

chem

1010. Co-operative Trial in Analytical Chemistry

name

rdataset-mass-coop

reference

rdataset-mass-coop’s home link.

R package

mass

R Dataset

coop

1011. Performance of Computer CPUs

name

rdataset-mass-cpus

reference

rdataset-mass-cpus’s home link.

R package

mass

R Dataset

cpus

1012. Morphological Measurements on Leptograpsus Crabs

name

rdataset-mass-crabs

reference

rdataset-mass-crabs’s home link.

R package

mass

R Dataset

crabs

1013. Diagnostic Tests on Patients with Cushing’s Syndrome

name

rdataset-mass-cushings

reference

rdataset-mass-cushings’s home link.

R package

mass

R Dataset

cushings

1014. DDT in Kale

name

rdataset-mass-ddt

reference

rdataset-mass-ddt’s home link.

R package

mass

R Dataset

ddt

1015. Monthly Deaths from Lung Diseases in the UK

name

rdataset-mass-deaths

reference

rdataset-mass-deaths’s home link.

R package

mass

R Dataset

deaths

1016. Deaths of Car Drivers in Great Britain 1969-84

name

rdataset-mass-drivers

reference

rdataset-mass-drivers’s home link.

R package

mass

R Dataset

drivers

1017. Foraging Ecology of Bald Eagles

name

rdataset-mass-eagles

reference

rdataset-mass-eagles’s home link.

R package

mass

R Dataset

eagles

1018. Seizure Counts for Epileptics

name

rdataset-mass-epil

reference

rdataset-mass-epil’s home link.

R package

mass

R Dataset

epil

1019. Ecological Factors in Farm Management

name

rdataset-mass-farms

reference

rdataset-mass-farms’s home link.

R package

mass

R Dataset

farms

1020. Measurements of Forensic Glass Fragments

name

rdataset-mass-fgl

reference

rdataset-mass-fgl’s home link.

R package

mass

R Dataset

fgl

1021. Forbes’ Data on Boiling Points in the Alps

name

rdataset-mass-forbes

reference

rdataset-mass-forbes’s home link.

R package

mass

R Dataset

forbes

1022. Level of GAG in Urine of Children

name

rdataset-mass-gagurine

reference

rdataset-mass-gagurine’s home link.

R package

mass

R Dataset

gagurine

1023. Velocities for 82 Galaxies

name

rdataset-mass-galaxies

reference

rdataset-mass-galaxies’s home link.

R package

mass

R Dataset

galaxies

1024. Remission Times of Leukaemia Patients

name

rdataset-mass-gehan

reference

rdataset-mass-gehan’s home link.

R package

mass

R Dataset

gehan

1025. Rat Genotype Data

name

rdataset-mass-genotype

reference

rdataset-mass-genotype’s home link.

R package

mass

R Dataset

genotype

1026. Old Faithful Geyser Data

name

rdataset-mass-geyser

reference

rdataset-mass-geyser’s home link.

R package

mass

R Dataset

geyser

1027. Line Transect of Soil in Gilgai Territory

name

rdataset-mass-gilgais

reference

rdataset-mass-gilgais’s home link.

R package

mass

R Dataset

gilgais

1028. Record Times in Scottish Hill Races

name

rdataset-mass-hills

reference

rdataset-mass-hills’s home link.

R package

mass

R Dataset

hills

1029. Frequency Table from a Copenhagen Housing Conditions Survey

name

rdataset-mass-housing

reference

rdataset-mass-housing’s home link.

R package

mass

R Dataset

housing

1030. Yields from a Barley Field Trial

name

rdataset-mass-immer

reference

rdataset-mass-immer’s home link.

R package

mass

R Dataset

immer

1031. Numbers of Car Insurance claims

name

rdataset-mass-insurance

reference

rdataset-mass-insurance’s home link.

R package

mass

R Dataset

insurance

1032. Survival Times and White Blood Counts for Leukaemia Patients

name

rdataset-mass-leuk

reference

rdataset-mass-leuk’s home link.

R package

mass

R Dataset

leuk

1033. Brain and Body Weights for 62 Species of Land Mammals

name

rdataset-mass-mammals

reference

rdataset-mass-mammals’s home link.

R package

mass

R Dataset

mammals

1034. Data from a Simulated Motorcycle Accident

name

rdataset-mass-mcycle

reference

rdataset-mass-mcycle’s home link.

R package

mass

R Dataset

mcycle

1035. Survival from Malignant Melanoma

name

rdataset-mass-melanoma

reference

rdataset-mass-melanoma’s home link.

R package

mass

R Dataset

melanoma

1036. Age of Menarche in Warsaw

name

rdataset-mass-menarche

reference

rdataset-mass-menarche’s home link.

R package

mass

R Dataset

menarche

1037. Michelson’s Speed of Light Data

name

rdataset-mass-michelson

reference

rdataset-mass-michelson’s home link.

R package

mass

R Dataset

michelson

1038. Minnesota High School Graduates of 1938

name

rdataset-mass-minn38

reference

rdataset-mass-minn38’s home link.

R package

mass

R Dataset

minn38

1039. Accelerated Life Testing of Motorettes

name

rdataset-mass-motors

reference

rdataset-mass-motors’s home link.

R package

mass

R Dataset

motors

1040. Effect of Calcium Chloride on Muscle Contraction in Rat Hearts

name

rdataset-mass-muscle

reference

rdataset-mass-muscle’s home link.

R package

mass

R Dataset

muscle

1041. Newcomb’s Measurements of the Passage Time of Light

name

rdataset-mass-newcomb

reference

rdataset-mass-newcomb’s home link.

R package

mass

R Dataset

newcomb

1042. Eighth-Grade Pupils in the Netherlands

name

rdataset-mass-nlschools

reference

rdataset-mass-nlschools’s home link.

R package

mass

R Dataset

nlschools

1043. Classical N, P, K Factorial Experiment

name

rdataset-mass-npk

reference

rdataset-mass-npk’s home link.

R package

mass

R Dataset

npk

1044. US Naval Petroleum Reserve No. 1 data

name

rdataset-mass-npr1

reference

rdataset-mass-npr1’s home link.

R package

mass

R Dataset

npr1

1045. Data from an Oats Field Trial

name

rdataset-mass-oats

reference

rdataset-mass-oats’s home link.

R package

mass

R Dataset

oats

1046. Tests of Auditory Perception in Children with OME

name

rdataset-mass-ome

reference

rdataset-mass-ome’s home link.

R package

mass

R Dataset

ome

1047. The Painter’s Data of de Piles

name

rdataset-mass-painters

reference

rdataset-mass-painters’s home link.

R package

mass

R Dataset

painters

1048. N. L. Prater’s Petrol Refinery Data

name

rdataset-mass-petrol

reference

rdataset-mass-petrol’s home link.

R package

mass

R Dataset

petrol

1049. Belgium Phone Calls 1950-1973

name

rdataset-mass-phones

reference

rdataset-mass-phones’s home link.

R package

mass

R Dataset

phones

1050. Diabetes in Pima Indian Women

name

rdataset-mass-pima.te

reference

rdataset-mass-pima.te’s home link.

R package

mass

R Dataset

pima.te

1051. Diabetes in Pima Indian Women

name

rdataset-mass-pima.tr

reference

rdataset-mass-pima.tr’s home link.

R package

mass

R Dataset

pima.tr

1052. Diabetes in Pima Indian Women

name

rdataset-mass-pima.tr2

reference

rdataset-mass-pima.tr2’s home link.

R package

mass

R Dataset

pima.tr2

1053. Absenteeism from School in Rural New South Wales

name

rdataset-mass-quine

reference

rdataset-mass-quine’s home link.

R package

mass

R Dataset

quine

1054. Blood Pressure in Rabbits

name

rdataset-mass-rabbit

reference

rdataset-mass-rabbit’s home link.

R package

mass

R Dataset

rabbit

1055. Road Accident Deaths in US States

name

rdataset-mass-road

reference

rdataset-mass-road’s home link.

R package

mass

R Dataset

road

1056. Numbers of Rotifers by Fluid Density

name

rdataset-mass-rotifer

reference

rdataset-mass-rotifer’s home link.

R package

mass

R Dataset

rotifer

1057. Accelerated Testing of Tyre Rubber

name

rdataset-mass-rubber

reference

rdataset-mass-rubber’s home link.

R package

mass

R Dataset

rubber

1058. Ships Damage Data

name

rdataset-mass-ships

reference

rdataset-mass-ships’s home link.

R package

mass

R Dataset

ships

1059. Shoe wear data of Box, Hunter and Hunter

name

rdataset-mass-shoes

reference

rdataset-mass-shoes’s home link.

R package

mass

R Dataset

shoes

1060. Percentage of Shrimp in Shrimp Cocktail

name

rdataset-mass-shrimp

reference

rdataset-mass-shrimp’s home link.

R package

mass

R Dataset

shrimp

1061. Space Shuttle Autolander Problem

name

rdataset-mass-shuttle

reference

rdataset-mass-shuttle’s home link.

R package

mass

R Dataset

shuttle

1062. Growth Curves for Sitka Spruce Trees in 1988

name

rdataset-mass-sitka

reference

rdataset-mass-sitka’s home link.

R package

mass

R Dataset

sitka

1063. Growth Curves for Sitka Spruce Trees in 1989

name

rdataset-mass-sitka89

reference

rdataset-mass-sitka89’s home link.

R package

mass

R Dataset

sitka89

1064. AFM Compositions of Aphyric Skye Lavas

name

rdataset-mass-skye

reference

rdataset-mass-skye’s home link.

R package

mass

R Dataset

skye

1065. Snail Mortality Data

name

rdataset-mass-snails

reference

rdataset-mass-snails’s home link.

R package

mass

R Dataset

snails

1066. Returns of the Standard and Poors 500

name

rdataset-mass-sp500

reference

rdataset-mass-sp500’s home link.

R package

mass

R Dataset

sp500

1067. The Saturated Steam Pressure Data

name

rdataset-mass-steam

reference

rdataset-mass-steam’s home link.

R package

mass

R Dataset

steam

1068. The Stormer Viscometer Data

name

rdataset-mass-stormer

reference

rdataset-mass-stormer’s home link.

R package

mass

R Dataset

stormer

1069. Student Survey Data

name

rdataset-mass-survey

reference

rdataset-mass-survey’s home link.

R package

mass

R Dataset

survey

1070. Synthetic Classification Problem

name

rdataset-mass-synth.te

reference

rdataset-mass-synth.te’s home link.

R package

mass

R Dataset

synth.te

1071. Synthetic Classification Problem

name

rdataset-mass-synth.tr

reference

rdataset-mass-synth.tr’s home link.

R package

mass

R Dataset

synth.tr

1072. Spatial Topographic Data

name

rdataset-mass-topo

reference

rdataset-mass-topo’s home link.

R package

mass

R Dataset

topo

1073. Effect of Swedish Speed Limits on Accidents

name

rdataset-mass-traffic

reference

rdataset-mass-traffic’s home link.

R package

mass

R Dataset

traffic

1074. Nutritional and Marketing Information on US Cereals

name

rdataset-mass-uscereal

reference

rdataset-mass-uscereal’s home link.

R package

mass

R Dataset

uscereal

1075. The Effect of Punishment Regimes on Crime Rates

name

rdataset-mass-uscrime

reference

rdataset-mass-uscrime’s home link.

R package

mass

R Dataset

uscrime

1076. Veteran’s Administration Lung Cancer Trial

name

rdataset-mass-va

reference

rdataset-mass-va’s home link.

R package

mass

R Dataset

va

1077. Counts of Waders at 15 Sites in South Africa

name

rdataset-mass-waders

reference

rdataset-mass-waders’s home link.

R package

mass

R Dataset

waders

1078. House Insulation: Whiteside’s Data

name

rdataset-mass-whiteside

reference

rdataset-mass-whiteside’s home link.

R package

mass

R Dataset

whiteside

1079. Weight Loss Data from an Obese Patient

name

rdataset-mass-wtloss

reference

rdataset-mass-wtloss’s home link.

R package

mass

R Dataset

wtloss

1080. Data from National Supported Work Demonstration and PSID, as analyzed by Dehejia and Wahba (1999).

name

rdataset-matchit-lalonde

reference

rdataset-matchit-lalonde’s home link.

R package

matchit

R Dataset

lalonde

1081. Example Data for the Design Functions

name

rdataset-mediation-boundsdata

reference

rdataset-mediation-boundsdata’s home link.

R package

mediation

R Dataset

boundsdata

1082. Example Data for the Crossover Encouragement Design

name

rdataset-mediation-ceddata

reference

rdataset-mediation-ceddata’s home link.

R package

mediation

R Dataset

ceddata

1083. Brader, Valentino and Suhay (2008) Framing Experiment Data

name

rdataset-mediation-framing

reference

rdataset-mediation-framing’s home link.

R package

mediation

R Dataset

framing

1084. JOBS II data

name

rdataset-mediation-jobs

reference

rdataset-mediation-jobs’s home link.

R package

mediation

R Dataset

jobs

1085. School-level data

name

rdataset-mediation-school

reference

rdataset-mediation-school’s home link.

R package

mediation

R Dataset

school

1086. Hypothetical student-level data

name

rdataset-mediation-student

reference

rdataset-mediation-student’s home link.

R package

mediation

R Dataset

student

1087. Retrospective Cohort Study of the Effects of Blood Storage on Prostate Cancer

name

rdataset-medicaldata-blood_storage

reference

rdataset-medicaldata-blood_storage’s home link.

R package

medicaldata

R Dataset

blood_storage

1088. Deidentified Results of COVID-19 testing at the Children’s Hospital of Pennsylvania (CHOP) in 2020

name

rdataset-medicaldata-covid_testing

reference

rdataset-medicaldata-covid_testing’s home link.

R package

medicaldata

R Dataset

covid_testing

1089. Retrospective Cohort Study of the Effects of Donor KIR genotype on the reactivation of cytomegalovirus (CMV) after myeloablative allogeneic hematopoietic stem cell transplant.

name

rdataset-medicaldata-cytomegalovirus

reference

rdataset-medicaldata-cytomegalovirus’s home link.

R package

medicaldata

R Dataset

cytomegalovirus

1090. esoph_ca: Esophageal Cancer dataset

name

rdataset-medicaldata-esoph_ca

reference

rdataset-medicaldata-esoph_ca’s home link.

R package

medicaldata

R Dataset

esoph_ca

1091. RCT of Indomethacin for Prevention of Post-ERCP Pancreatitis

name

rdataset-medicaldata-indo_rct

reference

rdataset-medicaldata-indo_rct’s home link.

R package

medicaldata

R Dataset

indo_rct

1092. Cohort Study of the Pharmacokinetics of Intravenous Indomethacin

name

rdataset-medicaldata-indometh

reference

rdataset-medicaldata-indometh’s home link.

R package

medicaldata

R Dataset

indometh

1093. Randomized, Comparison Trial of Video vs. Standard Laryngoscope

name

rdataset-medicaldata-laryngoscope

reference

rdataset-medicaldata-laryngoscope’s home link.

R package

medicaldata

R Dataset

laryngoscope

1094. Randomized, Controlled Trial of Licorice Gargle before Intubation for Elective Thoracic Surgery

name

rdataset-medicaldata-licorice_gargle

reference

rdataset-medicaldata-licorice_gargle’s home link.

R package

medicaldata

R Dataset

licorice_gargle

1095. Obstetrics and Periodontal Therapy Dataset

name

rdataset-medicaldata-opt

reference

rdataset-medicaldata-opt’s home link.

R package

medicaldata

R Dataset

opt

1096. RCT of Sulindac for Polyp Prevention in Familial Adenomatous Polyposis

name

rdataset-medicaldata-polyps

reference

rdataset-medicaldata-polyps’s home link.

R package

medicaldata

R Dataset

polyps

1097. Randomized Trial of Six Therapies for Scurvy

name

rdataset-medicaldata-scurvy

reference

rdataset-medicaldata-scurvy’s home link.

R package

medicaldata

R Dataset

scurvy

1098. Prospective Cohort Study of Intestinal Transit using a SmartPill to Compare Trauma Patients to Healthy Volunteers

name

rdataset-medicaldata-smartpill

reference

rdataset-medicaldata-smartpill’s home link.

R package

medicaldata

R Dataset

smartpill

1099. RCT of Streptomycin Therapy for Tuberculosis

name

rdataset-medicaldata-strep_tb

reference

rdataset-medicaldata-strep_tb’s home link.

R package

medicaldata

R Dataset

strep_tb

1100. Study of Supraclavicular Anesthesia

name

rdataset-medicaldata-supraclavicular

reference

rdataset-medicaldata-supraclavicular’s home link.

R package

medicaldata

R Dataset

supraclavicular

1101. Cohort Study of the Pharmacokinetics of Oral Theophylline

name

rdataset-medicaldata-theoph

reference

rdataset-medicaldata-theoph’s home link.

R package

medicaldata

R Dataset

theoph

1102. Subset of variables from the CHAIN project

name

rdataset-mi-chain

reference

rdataset-mi-chain’s home link.

R package

mi

R Dataset

chain

1103. National Longitudinal Survey of Youth Extract

name

rdataset-mi-nlsyv

reference

rdataset-mi-nlsyv’s home link.

R package

mi

R Dataset

nlsyv

1104. Language Scores of 8-Graders in The Netherlands

name

rdataset-mlmrev-bdf

reference

rdataset-mlmrev-bdf’s home link.

R package

mlmrev

R Dataset

bdf

1105. Scores on A-level Chemistry in 1997

name

rdataset-mlmrev-chem97

reference

rdataset-mlmrev-chem97’s home link.

R package

mlmrev

R Dataset

chem97

1106. Contraceptive use in Bangladesh

name

rdataset-mlmrev-contraception

reference

rdataset-mlmrev-contraception’s home link.

R package

mlmrev

R Dataset

contraception

1107. Early childhood intervention study

name

rdataset-mlmrev-early

reference

rdataset-mlmrev-early’s home link.

R package

mlmrev

R Dataset

early

1108. US Sustaining Effects study

name

rdataset-mlmrev-egsingle

reference

rdataset-mlmrev-egsingle’s home link.

R package

mlmrev

R Dataset

egsingle

1109. Exam scores from inner London

name

rdataset-mlmrev-exam

reference

rdataset-mlmrev-exam’s home link.

R package

mlmrev

R Dataset

exam

1110. GCSE exam score

name

rdataset-mlmrev-gcsemv

reference

rdataset-mlmrev-gcsemv’s home link.

R package

mlmrev

R Dataset

gcsemv

1111. Immunization in Guatemala

name

rdataset-mlmrev-guimmun

reference

rdataset-mlmrev-guimmun’s home link.

R package

mlmrev

R Dataset

guimmun

1112. Prenatal care in Guatemala

name

rdataset-mlmrev-guprenat

reference

rdataset-mlmrev-guprenat’s home link.

R package

mlmrev

R Dataset

guprenat

1113. High School and Beyond - 1982

name

rdataset-mlmrev-hsb82

reference

rdataset-mlmrev-hsb82’s home link.

R package

mlmrev

R Dataset

hsb82

1114. Malignant melanoma deaths in Europe

name

rdataset-mlmrev-mmmec

reference

rdataset-mlmrev-mmmec’s home link.

R package

mlmrev

R Dataset

mmmec

1115. Heights of Boys in Oxford

name

rdataset-mlmrev-oxboys

reference

rdataset-mlmrev-oxboys’s home link.

R package

mlmrev

R Dataset

oxboys

1116. Covariates in the Rodriguez and Goldman simulation

name

rdataset-mlmrev-s3bbx

reference

rdataset-mlmrev-s3bbx’s home link.

R package

mlmrev

R Dataset

s3bbx

1117. Responses simulated by Rodriguez and Goldman

name

rdataset-mlmrev-s3bby

reference

rdataset-mlmrev-s3bby’s home link.

R package

mlmrev

R Dataset

s3bby

1118. Scottish secondary school scores

name

rdataset-mlmrev-scotssec

reference

rdataset-mlmrev-scotssec’s home link.

R package

mlmrev

R Dataset

scotssec

1119. Social Attitudes Survey

name

rdataset-mlmrev-socatt

reference

rdataset-mlmrev-socatt’s home link.

R package

mlmrev

R Dataset

socatt

1120. Student Teacher Achievement Ratio (STAR) project data

name

rdataset-mlmrev-star

reference

rdataset-mlmrev-star’s home link.

R package

mlmrev

R Dataset

star

1121. Alzheimer’s disease data

name

rdataset-modeldata-ad_data

reference

rdataset-modeldata-ad_data’s home link.

R package

modeldata

R Dataset

ad_data

1122. Ames Housing Data

name

rdataset-modeldata-ames

reference

rdataset-modeldata-ames’s home link.

R package

modeldata

R Dataset

ames

1123. Job attrition

name

rdataset-modeldata-attrition

reference

rdataset-modeldata-attrition’s home link.

R package

modeldata

R Dataset

attrition

1124. Biomass data

name

rdataset-modeldata-biomass

reference

rdataset-modeldata-biomass’s home link.

R package

modeldata

R Dataset

biomass

1125. Example bivariate classification data

name

rdataset-modeldata-bivariate_test (bivariate)

reference

rdataset-modeldata-bivariate_test (bivariate)’s home link.

R package

modeldata

R Dataset

bivariate_test (bivariate)

1126. Example bivariate classification data

name

rdataset-modeldata-bivariate_train (bivariate)

reference

rdataset-modeldata-bivariate_train (bivariate)’s home link.

R package

modeldata

R Dataset

bivariate_train (bivariate)

1127. Example bivariate classification data

name

rdataset-modeldata-bivariate_val (bivariate)

reference

rdataset-modeldata-bivariate_val (bivariate)’s home link.

R package

modeldata

R Dataset

bivariate_val (bivariate)

1128. Kelly Blue Book resale data for 2005 model year GM cars

name

rdataset-modeldata-car_prices

reference

rdataset-modeldata-car_prices’s home link.

R package

modeldata

R Dataset

car_prices

1129. Cell body segmentation

name

rdataset-modeldata-cells

reference

rdataset-modeldata-cells’s home link.

R package

modeldata

R Dataset

cells

1130. Execution time data

name

rdataset-modeldata-check_times

reference

rdataset-modeldata-check_times’s home link.

R package

modeldata

R Dataset

check_times

1131. Chicago ridership data

name

rdataset-modeldata-chicago

reference

rdataset-modeldata-chicago’s home link.

R package

modeldata

R Dataset

chicago

1132. Compressive strength of concrete mixtures

name

rdataset-modeldata-concrete

reference

rdataset-modeldata-concrete’s home link.

R package

modeldata

R Dataset

concrete

1133. Raw cover type data

name

rdataset-modeldata-covers

reference

rdataset-modeldata-covers’s home link.

R package

modeldata

R Dataset

covers

1134. Credit data

name

rdataset-modeldata-credit_data

reference

rdataset-modeldata-credit_data’s home link.

R package

modeldata

R Dataset

credit_data

1135. Rates of Cricket Chirps

name

rdataset-modeldata-crickets

reference

rdataset-modeldata-crickets’s home link.

R package

modeldata

R Dataset

crickets

1136. Sample time series data

name

rdataset-modeldata-drinks

reference

rdataset-modeldata-drinks’s home link.

R package

modeldata

R Dataset

drinks

1137. Grant acceptance data

name

rdataset-modeldata-grants_2008 (grants)

reference

rdataset-modeldata-grants_2008 (grants)’s home link.

R package

modeldata

R Dataset

grants_2008 (grants)

1138. Grant acceptance data

name

rdataset-modeldata-grants_other (grants)

reference

rdataset-modeldata-grants_other (grants)’s home link.

R package

modeldata

R Dataset

grants_other (grants)

1139. Grant acceptance data

name

rdataset-modeldata-grants_test (grants)

reference

rdataset-modeldata-grants_test (grants)’s home link.

R package

modeldata

R Dataset

grants_test (grants)

1140. Class probability predictions

name

rdataset-modeldata-hpc_cv

reference

rdataset-modeldata-hpc_cv’s home link.

R package

modeldata

R Dataset

hpc_cv

1141. High-performance computing system data

name

rdataset-modeldata-hpc_data

reference

rdataset-modeldata-hpc_data’s home link.

R package

modeldata

R Dataset

hpc_data

1142. Loan data

name

rdataset-modeldata-lending_club

reference

rdataset-modeldata-lending_club’s home link.

R package

modeldata

R Dataset

lending_club

1143. Fat, water and protein content of meat samples

name

rdataset-modeldata-meats

reference

rdataset-modeldata-meats’s home link.

R package

modeldata

R Dataset

meats

1144. Customer churn data

name

rdataset-modeldata-mlc_churn

reference

rdataset-modeldata-mlc_churn’s home link.

R package

modeldata

R Dataset

mlc_churn

1145. Fatty acid composition of commercial oils

name

rdataset-modeldata-oils

reference

rdataset-modeldata-oils’s home link.

R package

modeldata

R Dataset

oils

1146. Parabolic class boundary data

name

rdataset-modeldata-parabolic

reference

rdataset-modeldata-parabolic’s home link.

R package

modeldata

R Dataset

parabolic

1147. Liver pathology data

name

rdataset-modeldata-pathology

reference

rdataset-modeldata-pathology’s home link.

R package

modeldata

R Dataset

pathology

1148. Parkinson’s disease speech classification data set

name

rdataset-modeldata-pd_speech

reference

rdataset-modeldata-pd_speech’s home link.

R package

modeldata

R Dataset

pd_speech

1149. Palmer Station penguin data

name

rdataset-modeldata-penguins

reference

rdataset-modeldata-penguins’s home link.

R package

modeldata

R Dataset

penguins

1150. Sacramento CA home prices

name

rdataset-modeldata-sacramento

reference

rdataset-modeldata-sacramento’s home link.

R package

modeldata

R Dataset

sacramento

1151. Morphometric data on scat

name

rdataset-modeldata-scat

reference

rdataset-modeldata-scat’s home link.

R package

modeldata

R Dataset

scat

1152. Smithsonian museums

name

rdataset-modeldata-smithsonian

reference

rdataset-modeldata-smithsonian’s home link.

R package

modeldata

R Dataset

smithsonian

1153. Solubility predictions from MARS model

name

rdataset-modeldata-solubility_test

reference

rdataset-modeldata-solubility_test’s home link.

R package

modeldata

R Dataset

solubility_test

1154. Annual Stack Overflow Developer Survey Data

name

rdataset-modeldata-stackoverflow

reference

rdataset-modeldata-stackoverflow’s home link.

R package

modeldata

R Dataset

stackoverflow

1155. Chicago ridership data

name

rdataset-modeldata-stations (chicago)

reference

rdataset-modeldata-stations (chicago)’s home link.

R package

modeldata

R Dataset

stations (chicago)

1156. Tate Gallery modern artwork metadata

name

rdataset-modeldata-tate_text

reference

rdataset-modeldata-tate_text’s home link.

R package

modeldata

R Dataset

tate_text

1157. Fine foods example data

name

rdataset-modeldata-testing_data (small_fine_foods)

reference

rdataset-modeldata-testing_data (small_fine_foods)’s home link.

R package

modeldata

R Dataset

testing_data (small_fine_foods)

1158. Fine foods example data

name

rdataset-modeldata-training_data (small_fine_foods)

reference

rdataset-modeldata-training_data (small_fine_foods)’s home link.

R package

modeldata

R Dataset

training_data (small_fine_foods)

1159. Two class data

name

rdataset-modeldata-two_class_dat

reference

rdataset-modeldata-two_class_dat’s home link.

R package

modeldata

R Dataset

two_class_dat

1160. Two class predictions

name

rdataset-modeldata-two_class_example

reference

rdataset-modeldata-two_class_example’s home link.

R package

modeldata

R Dataset

two_class_example

1161. Watson churn data

name

rdataset-modeldata-wa_churn

reference

rdataset-modeldata-wa_churn’s home link.

R package

modeldata

R Dataset

wa_churn

1162. Alcohol Consumption per Capita

name

rdataset-mosaicdata-alcohol

reference

rdataset-mosaicdata-alcohol’s home link.

R package

mosaicdata

R Dataset

alcohol

1163. US Births in 1969 - 1988

name

rdataset-mosaicdata-birthdays

reference

rdataset-mosaicdata-birthdays’s home link.

R package

mosaicdata

R Dataset

birthdays

1164. US Births

name

rdataset-mosaicdata-births

reference

rdataset-mosaicdata-births’s home link.

R package

mosaicdata

R Dataset

births

1165. US Births

name

rdataset-mosaicdata-births2015

reference

rdataset-mosaicdata-births2015’s home link.

R package

mosaicdata

R Dataset

births2015

1166. US Births

name

rdataset-mosaicdata-births78

reference

rdataset-mosaicdata-births78’s home link.

R package

mosaicdata

R Dataset

births78

1167. US Births

name

rdataset-mosaicdata-birthscdc

reference

rdataset-mosaicdata-birthscdc’s home link.

R package

mosaicdata

R Dataset

birthscdc

1168. US Births

name

rdataset-mosaicdata-birthsssa

reference

rdataset-mosaicdata-birthsssa’s home link.

R package

mosaicdata

R Dataset

birthsssa

1169. Standard Deck of Cards

name

rdataset-mosaicdata-cards

reference

rdataset-mosaicdata-cards’s home link.

R package

mosaicdata

R Dataset

cards

1170. CoolingWater

name

rdataset-mosaicdata-coolingwater

reference

rdataset-mosaicdata-coolingwater’s home link.

R package

mosaicdata

R Dataset

coolingwater

1171. Countries

name

rdataset-mosaicdata-countries

reference

rdataset-mosaicdata-countries’s home link.

R package

mosaicdata

R Dataset

countries

1172. Data from the 1985 Current Population Survey (CPS85)

name

rdataset-mosaicdata-cps85

reference

rdataset-mosaicdata-cps85’s home link.

R package

mosaicdata

R Dataset

cps85

1173. Weight of dimes

name

rdataset-mosaicdata-dimes

reference

rdataset-mosaicdata-dimes’s home link.

R package

mosaicdata

R Dataset

dimes

1174. Galton’s dataset of parent and child heights

name

rdataset-mosaicdata-galton

reference

rdataset-mosaicdata-galton’s home link.

R package

mosaicdata

R Dataset

galton

1175. Data from the Child Health and Development Studies

name

rdataset-mosaicdata-gestation

reference

rdataset-mosaicdata-gestation’s home link.

R package

mosaicdata

R Dataset

gestation

1176. Goose Permit Study

name

rdataset-mosaicdata-goosepermits

reference

rdataset-mosaicdata-goosepermits’s home link.

R package

mosaicdata

R Dataset

goosepermits

1177. Data from a heat exchanger laboratory

name

rdataset-mosaicdata-heatx

reference

rdataset-mosaicdata-heatx’s home link.

R package

mosaicdata

R Dataset

heatx

1178. Health Evaluation and Linkage to Primary Care

name

rdataset-mosaicdata-helpfull

reference

rdataset-mosaicdata-helpfull’s home link.

R package

mosaicdata

R Dataset

helpfull

1179. Health Evaluation and Linkage to Primary Care

name

rdataset-mosaicdata-helpmiss

reference

rdataset-mosaicdata-helpmiss’s home link.

R package

mosaicdata

R Dataset

helpmiss

1180. Health Evaluation and Linkage to Primary Care

name

rdataset-mosaicdata-helprct

reference

rdataset-mosaicdata-helprct’s home link.

R package

mosaicdata

R Dataset

helprct

1181. Foot measurements in children

name

rdataset-mosaicdata-kidsfeet

reference

rdataset-mosaicdata-kidsfeet’s home link.

R package

mosaicdata

R Dataset

kidsfeet

1182. Marriage records

name

rdataset-mosaicdata-marriage

reference

rdataset-mosaicdata-marriage’s home link.

R package

mosaicdata

R Dataset

marriage

1183. Mites and Wilt Disease

name

rdataset-mosaicdata-mites

reference

rdataset-mosaicdata-mites’s home link.

R package

mosaicdata

R Dataset

mites

1184. Volume of Users of a Rail Trail

name

rdataset-mosaicdata-railtrail

reference

rdataset-mosaicdata-railtrail’s home link.

R package

mosaicdata

R Dataset

railtrail

1185. Volume of Users of a Massachusetts Rail Trail

name

rdataset-mosaicdata-riders

reference

rdataset-mosaicdata-riders’s home link.

R package

mosaicdata

R Dataset

riders

1186. Houses in Saratoga County (2006)

name

rdataset-mosaicdata-saratogahouses

reference

rdataset-mosaicdata-saratogahouses’s home link.

R package

mosaicdata

R Dataset

saratogahouses

1187. State by State SAT data

name

rdataset-mosaicdata-sat

reference

rdataset-mosaicdata-sat’s home link.

R package

mosaicdata

R Dataset

sat

1188. Snowfall data for Grand Rapids, MI

name

rdataset-mosaicdata-snowgr

reference

rdataset-mosaicdata-snowgr’s home link.

R package

mosaicdata

R Dataset

snowgr

1189. 100 m Swimming World Records

name

rdataset-mosaicdata-swimrecords

reference

rdataset-mosaicdata-swimrecords’s home link.

R package

mosaicdata

R Dataset

swimrecords

1190. Cherry Blossom Race

name

rdataset-mosaicdata-tenmilerace

reference

rdataset-mosaicdata-tenmilerace’s home link.

R package

mosaicdata

R Dataset

tenmilerace

1191. Utility bills

name

rdataset-mosaicdata-utilities

reference

rdataset-mosaicdata-utilities’s home link.

R package

mosaicdata

R Dataset

utilities

1192. Utility bills

name

rdataset-mosaicdata-utilities2

reference

rdataset-mosaicdata-utilities2’s home link.

R package

mosaicdata

R Dataset

utilities2

1193. Weather

name

rdataset-mosaicdata-weather

reference

rdataset-mosaicdata-weather’s home link.

R package

mosaicdata

R Dataset

weather

1194. Data from the Whickham survey

name

rdataset-mosaicdata-whickham

reference

rdataset-mosaicdata-whickham’s home link.

R package

mosaicdata

R Dataset

whickham

1195. Data from the Amsterdam Cohort Studies on HIV infection and AIDS

name

rdataset-mstate-aidssi

reference

rdataset-mstate-aidssi’s home link.

R package

mstate

R Dataset

aidssi

1196. Data from the Amsterdam Cohort Studies on HIV infection and AIDS

name

rdataset-mstate-aidssi2

reference

rdataset-mstate-aidssi2’s home link.

R package

mstate

R Dataset

aidssi2

1197. BMT data from Klein and Moeschberger

name

rdataset-mstate-bmt

reference

rdataset-mstate-bmt’s home link.

R package

mstate

R Dataset

bmt

1198. Data from the European Society for Blood and Marrow Transplantation (EBMT)

name

rdataset-mstate-ebmt1

reference

rdataset-mstate-ebmt1’s home link.

R package

mstate

R Dataset

ebmt1

1199. Data from the European Society for Blood and Marrow Transplantation (EBMT)

name

rdataset-mstate-ebmt2

reference

rdataset-mstate-ebmt2’s home link.

R package

mstate

R Dataset

ebmt2

1200. Data from the European Society for Blood and Marrow Transplantation (EBMT)

name

rdataset-mstate-ebmt3

reference

rdataset-mstate-ebmt3’s home link.

R package

mstate

R Dataset

ebmt3

1201. Data from the European Society for Blood and Marrow Transplantation (EBMT)

name

rdataset-mstate-ebmt4

reference

rdataset-mstate-ebmt4’s home link.

R package

mstate

R Dataset

ebmt4

1202. Abnormal prothrombin levels in liver cirrhosis

name

rdataset-mstate-prothr

reference

rdataset-mstate-prothr’s home link.

R package

mstate

R Dataset

prothr

1203. Rheumatoid Arthritis Clinical Trial

name

rdataset-multgee-arthritis

reference

rdataset-multgee-arthritis’s home link.

R package

multgee

R Dataset

arthritis

1204. Homeless Data

name

rdataset-multgee-housing

reference

rdataset-multgee-housing’s home link.

R package

multgee

R Dataset

housing

1205. Split-Plot Experiment on Varieties of Alfalfa

name

rdataset-nlme-alfalfa

reference

rdataset-nlme-alfalfa’s home link.

R package

nlme

R Dataset

alfalfa

1206. Bioassay on Cell Culture Plate

name

rdataset-nlme-assay

reference

rdataset-nlme-assay’s home link.

R package

nlme

R Dataset

assay

1207. Language scores

name

rdataset-nlme-bdf

reference

rdataset-nlme-bdf’s home link.

R package

nlme

R Dataset

bdf

1208. Rat weight over time for different diets

name

rdataset-nlme-bodyweight

reference

rdataset-nlme-bodyweight’s home link.

R package

nlme

R Dataset

bodyweight

1209. Pharmacokinetics of Cefamandole

name

rdataset-nlme-cefamandole

reference

rdataset-nlme-cefamandole’s home link.

R package

nlme

R Dataset

cefamandole

1210. High-Flux Hemodialyzer

name

rdataset-nlme-dialyzer

reference

rdataset-nlme-dialyzer’s home link.

R package

nlme

R Dataset

dialyzer

1211. Earthquake Intensity

name

rdataset-nlme-earthquake

reference

rdataset-nlme-earthquake’s home link.

R package

nlme

R Dataset

earthquake

1212. Ergometrics experiment with stool types

name

rdataset-nlme-ergostool

reference

rdataset-nlme-ergostool’s home link.

R package

nlme

R Dataset

ergostool

1213. Cracks caused by metal fatigue

name

rdataset-nlme-fatigue

reference

rdataset-nlme-fatigue’s home link.

R package

nlme

R Dataset

fatigue

1214. Refinery yield of gasoline

name

rdataset-nlme-gasoline

reference

rdataset-nlme-gasoline’s home link.

R package

nlme

R Dataset

gasoline

1215. Glucose levels over time

name

rdataset-nlme-glucose

reference

rdataset-nlme-glucose’s home link.

R package

nlme

R Dataset

glucose

1216. Glucose Levels Following Alcohol Ingestion

name

rdataset-nlme-glucose2

reference

rdataset-nlme-glucose2’s home link.

R package

nlme

R Dataset

glucose2

1217. Methods for firing naval guns

name

rdataset-nlme-gun

reference

rdataset-nlme-gun’s home link.

R package

nlme

R Dataset

gun

1218. Radioimmunoassay of IGF-I Protein

name

rdataset-nlme-igf

reference

rdataset-nlme-igf’s home link.

R package

nlme

R Dataset

igf

1219. Productivity Scores for Machines and Workers

name

rdataset-nlme-machines

reference

rdataset-nlme-machines’s home link.

R package

nlme

R Dataset

machines

1220. Mathematics achievement scores

name

rdataset-nlme-mathachieve

reference

rdataset-nlme-mathachieve’s home link.

R package

nlme

R Dataset

mathachieve

1221. School demographic data for MathAchieve

name

rdataset-nlme-mathachschool

reference

rdataset-nlme-mathachschool’s home link.

R package

nlme

R Dataset

mathachschool

1222. Tenderness of meat

name

rdataset-nlme-meat

reference

rdataset-nlme-meat’s home link.

R package

nlme

R Dataset

meat

1223. Protein content of cows’ milk

name

rdataset-nlme-milk

reference

rdataset-nlme-milk’s home link.

R package

nlme

R Dataset

milk

1224. Contraction of heart muscle sections

name

rdataset-nlme-muscle

reference

rdataset-nlme-muscle’s home link.

R package

nlme

R Dataset

muscle

1225. Assay of nitrendipene

name

rdataset-nlme-nitrendipene

reference

rdataset-nlme-nitrendipene’s home link.

R package

nlme

R Dataset

nitrendipene

1226. Split-plot Experiment on Varieties of Oats

name

rdataset-nlme-oats

reference

rdataset-nlme-oats’s home link.

R package

nlme

R Dataset

oats

1227. Growth curve data on an orthdontic measurement

name

rdataset-nlme-orthodont

reference

rdataset-nlme-orthodont’s home link.

R package

nlme

R Dataset

orthodont

1228. Counts of Ovarian Follicles

name

rdataset-nlme-ovary

reference

rdataset-nlme-ovary’s home link.

R package

nlme

R Dataset

ovary

1229. Heights of Boys in Oxford

name

rdataset-nlme-oxboys

reference

rdataset-nlme-oxboys’s home link.

R package

nlme

R Dataset

oxboys

1230. Variability in Semiconductor Manufacturing

name

rdataset-nlme-oxide

reference

rdataset-nlme-oxide’s home link.

R package

nlme

R Dataset

oxide

1231. Effect of Phenylbiguanide on Blood Pressure

name

rdataset-nlme-pbg

reference

rdataset-nlme-pbg’s home link.

R package

nlme

R Dataset

pbg

1232. Phenobarbitol Kinetics

name

rdataset-nlme-phenobarb

reference

rdataset-nlme-phenobarb’s home link.

R package

nlme

R Dataset

phenobarb

1233. X-ray pixel intensities over time

name

rdataset-nlme-pixel

reference

rdataset-nlme-pixel’s home link.

R package

nlme

R Dataset

pixel

1234. Quinidine Kinetics

name

rdataset-nlme-quinidine

reference

rdataset-nlme-quinidine’s home link.

R package

nlme

R Dataset

quinidine

1235. Evaluation of Stress in Railway Rails

name

rdataset-nlme-rail

reference

rdataset-nlme-rail’s home link.

R package

nlme

R Dataset

rail

1236. The weight of rat pups

name

rdataset-nlme-ratpupweight

reference

rdataset-nlme-ratpupweight’s home link.

R package

nlme

R Dataset

ratpupweight

1237. Assay for Relaxin

name

rdataset-nlme-relaxin

reference

rdataset-nlme-relaxin’s home link.

R package

nlme

R Dataset

relaxin

1238. Pharmacokinetics of Remifentanil

name

rdataset-nlme-remifentanil

reference

rdataset-nlme-remifentanil’s home link.

R package

nlme

R Dataset

remifentanil

1239. Growth of soybean plants

name

rdataset-nlme-soybean

reference

rdataset-nlme-soybean’s home link.

R package

nlme

R Dataset

soybean

1240. Growth of Spruce Trees

name

rdataset-nlme-spruce

reference

rdataset-nlme-spruce’s home link.

R package

nlme

R Dataset

spruce

1241. Pharmacokinetics of tetracycline

name

rdataset-nlme-tetracycline1

reference

rdataset-nlme-tetracycline1’s home link.

R package

nlme

R Dataset

tetracycline1

1242. Pharmacokinetics of tetracycline

name

rdataset-nlme-tetracycline2

reference

rdataset-nlme-tetracycline2’s home link.

R package

nlme

R Dataset

tetracycline2

1243. Modeling of Analog MOS Circuits

name

rdataset-nlme-wafer

reference

rdataset-nlme-wafer’s home link.

R package

nlme

R Dataset

wafer

1244. Yields by growing conditions

name

rdataset-nlme-wheat

reference

rdataset-nlme-wheat’s home link.

R package

nlme

R Dataset

wheat

1245. Wheat Yield Trials

name

rdataset-nlme-wheat2

reference

rdataset-nlme-wheat2’s home link.

R package

nlme

R Dataset

wheat2

1246. Airline names.

name

rdataset-nycflights13-airlines

reference

rdataset-nycflights13-airlines’s home link.

R package

nycflights13

R Dataset

airlines

1247. Airport metadata

name

rdataset-nycflights13-airports

reference

rdataset-nycflights13-airports’s home link.

R package

nycflights13

R Dataset

airports

1248. Flights data

name

rdataset-nycflights13-flights

reference

rdataset-nycflights13-flights’s home link.

R package

nycflights13

R Dataset

flights

1249. Plane metadata.

name

rdataset-nycflights13-planes

reference

rdataset-nycflights13-planes’s home link.

R package

nycflights13

R Dataset

planes

1250. Hourly weather data

name

rdataset-nycflights13-weather

reference

rdataset-nycflights13-weather’s home link.

R package

nycflights13

R Dataset

weather

1251. Absenteeism from school in New South Wales

name

rdataset-openintro-absenteeism

reference

rdataset-openintro-absenteeism’s home link.

R package

openintro

R Dataset

absenteeism

1252. American Community Survey, 2012

name

rdataset-openintro-acs12

reference

rdataset-openintro-acs12’s home link.

R package

openintro

R Dataset

acs12

1253. Age at first marriage of 5,534 US women.

name

rdataset-openintro-age_at_mar

reference

rdataset-openintro-age_at_mar’s home link.

R package

openintro

R Dataset

age_at_mar

1254. Housing prices in Ames, Iowa

name

rdataset-openintro-ames

reference

rdataset-openintro-ames’s home link.

R package

openintro

R Dataset

ames

1255. Acute Myocardial Infarction (Heart Attack) Events

name

rdataset-openintro-ami_occurrences

reference

rdataset-openintro-ami_occurrences’s home link.

R package

openintro

R Dataset

ami_occurrences

1256. Pre-existing conditions in 92 children

name

rdataset-openintro-antibiotics

reference

rdataset-openintro-antibiotics’s home link.

R package

openintro

R Dataset

antibiotics

1257. Male and female births in London

name

rdataset-openintro-arbuthnot

reference

rdataset-openintro-arbuthnot’s home link.

R package

openintro

R Dataset

arbuthnot

1258. How important is it to ask pointed questions?

name

rdataset-openintro-ask

reference

rdataset-openintro-ask’s home link.

R package

openintro

R Dataset

ask

1259. Simulated data for association plots

name

rdataset-openintro-association

reference

rdataset-openintro-association’s home link.

R package

openintro

R Dataset

association

1260. Eye color of couples

name

rdataset-openintro-assortative_mating

reference

rdataset-openintro-assortative_mating’s home link.

R package

openintro

R Dataset

assortative_mating

1261. Eye color of couples

name

rdataset-openintro-assortive_mating

reference

rdataset-openintro-assortive_mating’s home link.

R package

openintro

R Dataset

assortive_mating

1262. Cardiovascular problems for two types of Diabetes medicines

name

rdataset-openintro-avandia

reference

rdataset-openintro-avandia’s home link.

R package

openintro

R Dataset

avandia

1263. The Child Health and Development Studies

name

rdataset-openintro-babies

reference

rdataset-openintro-babies’s home link.

R package

openintro

R Dataset

babies

1264. Crawling age

name

rdataset-openintro-babies_crawl

reference

rdataset-openintro-babies_crawl’s home link.

R package

openintro

R Dataset

babies_crawl

1265. Beer and blood alcohol content

name

rdataset-openintro-bac

reference

rdataset-openintro-bac’s home link.

R package

openintro

R Dataset

bac

1266. Lifespan of ball bearings

name

rdataset-openintro-ball_bearing

reference

rdataset-openintro-ball_bearing’s home link.

R package

openintro

R Dataset

ball_bearing

1267. Body measurements of 507 physically active individuals.

name

rdataset-openintro-bdims

reference

rdataset-openintro-bdims’s home link.

R package

openintro

R Dataset

bdims

1268. Efficacy of Pfizer-BioNTech COVID-19 vaccine on adolescents

name

rdataset-openintro-biontech_adolescents

reference

rdataset-openintro-biontech_adolescents’s home link.

R package

openintro

R Dataset

biontech_adolescents

1269. Aircraft-Wildlife Collisions

name

rdataset-openintro-birds

reference

rdataset-openintro-birds’s home link.

R package

openintro

R Dataset

birds

1270. North Carolina births, 100 cases

name

rdataset-openintro-births

reference

rdataset-openintro-births’s home link.

R package

openintro

R Dataset

births

1271. US births

name

rdataset-openintro-births14

reference

rdataset-openintro-births14’s home link.

R package

openintro

R Dataset

births14

1272. Blizzard Employee Voluntary Salary Info.

name

rdataset-openintro-blizzard_salary

reference

rdataset-openintro-blizzard_salary’s home link.

R package

openintro

R Dataset

blizzard_salary

1273. Sample of books on a shelf

name

rdataset-openintro-books

reference

rdataset-openintro-books’s home link.

R package

openintro

R Dataset

books

1274. Burger preferences

name

rdataset-openintro-burger

reference

rdataset-openintro-burger’s home link.

R package

openintro

R Dataset

burger

1275. Cancer in dogs

name

rdataset-openintro-cancer_in_dogs

reference

rdataset-openintro-cancer_in_dogs’s home link.

R package

openintro

R Dataset

cancer_in_dogs

1276. Deck of cards

name

rdataset-openintro-cards

reference

rdataset-openintro-cards’s home link.

R package

openintro

R Dataset

cards

1277. cars93

name

rdataset-openintro-cars93

reference

rdataset-openintro-cars93’s home link.

R package

openintro

R Dataset

cars93

1278. Community college housing (simulated data)

name

rdataset-openintro-cchousing

reference

rdataset-openintro-cchousing’s home link.

R package

openintro

R Dataset

cchousing

1279. Random sample of 2000 U.S. Census Data

name

rdataset-openintro-census

reference

rdataset-openintro-census’s home link.

R package

openintro

R Dataset

census

1280. Summary information for 31 cherry trees

name

rdataset-openintro-cherry

reference

rdataset-openintro-cherry’s home link.

R package

openintro

R Dataset

cherry

1281. Child care hours

name

rdataset-openintro-china

reference

rdataset-openintro-china’s home link.

R package

openintro

R Dataset

china

1282. CIA Factbook Details on Countries

name

rdataset-openintro-cia_factbook

reference

rdataset-openintro-cia_factbook’s home link.

R package

openintro

R Dataset

cia_factbook

1283. Simulated class data

name

rdataset-openintro-classdata

reference

rdataset-openintro-classdata’s home link.

R package

openintro

R Dataset

classdata

1284. Cleveland and Sacramento

name

rdataset-openintro-cle_sac

reference

rdataset-openintro-cle_sac’s home link.

R package

openintro

R Dataset

cle_sac

1285. Temperature Summary Data, Geography Limited

name

rdataset-openintro-climate70

reference

rdataset-openintro-climate70’s home link.

R package

openintro

R Dataset

climate70

1286. Climber Drugs Data.

name

rdataset-openintro-climber_drugs

reference

rdataset-openintro-climber_drugs’s home link.

R package

openintro

R Dataset

climber_drugs

1287. Coast Starlight Amtrak train

name

rdataset-openintro-coast_starlight

reference

rdataset-openintro-coast_starlight’s home link.

R package

openintro

R Dataset

coast_starlight

1288. OpenIntro Statistics colors

name

rdataset-openintro-col

reference

rdataset-openintro-col’s home link.

R package

openintro

R Dataset

col

1289. Sample data sets for correlation problems

name

rdataset-openintro-corr_match

reference

rdataset-openintro-corr_match’s home link.

R package

openintro

R Dataset

corr_match

1290. Country ISO information

name

rdataset-openintro-country_iso

reference

rdataset-openintro-country_iso’s home link.

R package

openintro

R Dataset

country_iso

1291. CPR data set

name

rdataset-openintro-cpr

reference

rdataset-openintro-cpr’s home link.

R package

openintro

R Dataset

cpr

1292. CPU’s Released between 2010 and 2020.

name

rdataset-openintro-cpu

reference

rdataset-openintro-cpu’s home link.

R package

openintro

R Dataset

cpu

1293. College credits.

name

rdataset-openintro-credits

reference

rdataset-openintro-credits’s home link.

R package

openintro

R Dataset

credits

1294. Daycare fines

name

rdataset-openintro-daycare_fines

reference

rdataset-openintro-daycare_fines’s home link.

R package

openintro

R Dataset

daycare_fines

1295. Type 2 Diabetes Clinical Trial for Patients 10-17 Years Old

name

rdataset-openintro-diabetes2

reference

rdataset-openintro-diabetes2’s home link.

R package

openintro

R Dataset

diabetes2

1296. Survey on views of the DREAM Act

name

rdataset-openintro-dream

reference

rdataset-openintro-dream’s home link.

R package

openintro

R Dataset

dream

1297. Quadcopter Drone Blades

name

rdataset-openintro-drone_blades

reference

rdataset-openintro-drone_blades’s home link.

R package

openintro

R Dataset

drone_blades

1298. Drug use of students and parents

name

rdataset-openintro-drug_use

reference

rdataset-openintro-drug_use’s home link.

R package

openintro

R Dataset

drug_use

1299. Sale prices of houses in Duke Forest, Durham, NC

name

rdataset-openintro-duke_forest

reference

rdataset-openintro-duke_forest’s home link.

R package

openintro

R Dataset

duke_forest

1300. Earthquakes

name

rdataset-openintro-earthquakes

reference

rdataset-openintro-earthquakes’s home link.

R package

openintro

R Dataset

earthquakes

1301. Survey on Ebola quarantine

name

rdataset-openintro-ebola_survey

reference

rdataset-openintro-ebola_survey’s home link.

R package

openintro

R Dataset

ebola_survey

1302. Elmhurst College gift aid

name

rdataset-openintro-elmhurst

reference

rdataset-openintro-elmhurst’s home link.

R package

openintro

R Dataset

elmhurst

1303. Data frame representing information about a collection of emails

name

rdataset-openintro-email

reference

rdataset-openintro-email’s home link.

R package

openintro

R Dataset

email

1304. Data frame representing information about a collection of emails

name

rdataset-openintro-email_test

reference

rdataset-openintro-email_test’s home link.

R package

openintro

R Dataset

email_test

1305. Sample of 50 emails

name

rdataset-openintro-email50

reference

rdataset-openintro-email50’s home link.

R package

openintro

R Dataset

email50

1306. American Adults on Regulation and Renewable Energy

name

rdataset-openintro-env_regulation

reference

rdataset-openintro-env_regulation’s home link.

R package

openintro

R Dataset

env_regulation

1307. Vehicle info from the EPA for 2012

name

rdataset-openintro-epa2012

reference

rdataset-openintro-epa2012’s home link.

R package

openintro

R Dataset

epa2012

1308. Vehicle info from the EPA for 2021

name

rdataset-openintro-epa2021

reference

rdataset-openintro-epa2021’s home link.

R package

openintro

R Dataset

epa2021

1309. Environmental Sustainability Index 2005

name

rdataset-openintro-esi

reference

rdataset-openintro-esi’s home link.

R package

openintro

R Dataset

esi

1310. Ethanol Treatment for Tumors Experiment

name

rdataset-openintro-ethanol

reference

rdataset-openintro-ethanol’s home link.

R package

openintro

R Dataset

ethanol

1311. Professor evaluations and beauty

name

rdataset-openintro-evals

reference

rdataset-openintro-evals’s home link.

R package

openintro

R Dataset

evals

1312. Exam and course grades for statistics students

name

rdataset-openintro-exam_grades

reference

rdataset-openintro-exam_grades’s home link.

R package

openintro

R Dataset

exam_grades

1313. Exam scores

name

rdataset-openintro-exams

reference

rdataset-openintro-exams’s home link.

R package

openintro

R Dataset

exams

1314. Number of Exclusive Relationships

name

rdataset-openintro-exclusive_relationship

reference

rdataset-openintro-exclusive_relationship’s home link.

R package

openintro

R Dataset

exclusive_relationship

1315. Can Americans categorize facts and opinions?

name

rdataset-openintro-fact_opinion

reference

rdataset-openintro-fact_opinion’s home link.

R package

openintro

R Dataset

fact_opinion

1316. Simulated sample of parent / teen college attendance

name

rdataset-openintro-family_college

reference

rdataset-openintro-family_college’s home link.

R package

openintro

R Dataset

family_college

1317. Nutrition in fast food

name

rdataset-openintro-fastfood

reference

rdataset-openintro-fastfood’s home link.

R package

openintro

R Dataset

fastfood

1318. Summary of male heights from USDA Food Commodity Intake Database

name

rdataset-openintro-fcid

reference

rdataset-openintro-fcid’s home link.

R package

openintro

R Dataset

fcid

1319. Female college student heights, in inches

name

rdataset-openintro-fheights

reference

rdataset-openintro-fheights’s home link.

R package

openintro

R Dataset

fheights

1320. Findings on n-3 Fatty Acid Supplement Health Benefits

name

rdataset-openintro-fish_oil_18

reference

rdataset-openintro-fish_oil_18’s home link.

R package

openintro

R Dataset

fish_oil_18

1321. River flow data

name

rdataset-openintro-flow_rates

reference

rdataset-openintro-flow_rates’s home link.

R package

openintro

R Dataset

flow_rates

1322. Friday the 13th

name

rdataset-openintro-friday

reference

rdataset-openintro-friday’s home link.

R package

openintro

R Dataset

friday

1323. Poll about use of full-body airport scanners

name

rdataset-openintro-full_body_scan

reference

rdataset-openintro-full_body_scan’s home link.

R package

openintro

R Dataset

full_body_scan

1324. GDP Countries Data.

name

rdataset-openintro-gdp_countries

reference

rdataset-openintro-gdp_countries’s home link.

R package

openintro

R Dataset

gdp_countries

1325. Fake data for a gear company example

name

rdataset-openintro-gear_company

reference

rdataset-openintro-gear_company’s home link.

R package

openintro

R Dataset

gear_company

1326. Bank manager recommendations based on gender

name

rdataset-openintro-gender_discrimination

reference

rdataset-openintro-gender_discrimination’s home link.

R package

openintro

R Dataset

gender_discrimination

1327. Get it Dunn Run, Race Times

name

rdataset-openintro-get_it_dunn_run

reference

rdataset-openintro-get_it_dunn_run’s home link.

R package

openintro

R Dataset

get_it_dunn_run

1328. Analytical skills of young gifted children

name

rdataset-openintro-gifted

reference

rdataset-openintro-gifted’s home link.

R package

openintro

R Dataset

gifted

1329. Pew survey on global warming

name

rdataset-openintro-global_warming_pew

reference

rdataset-openintro-global_warming_pew’s home link.

R package

openintro

R Dataset

global_warming_pew

1330. Google stock data

name

rdataset-openintro-goog

reference

rdataset-openintro-goog’s home link.

R package

openintro

R Dataset

goog

1331. Pew Research poll on government approval ratings

name

rdataset-openintro-gov_poll

reference

rdataset-openintro-gov_poll’s home link.

R package

openintro

R Dataset

gov_poll

1332. Survey of Duke students on GPA, studying, and more

name

rdataset-openintro-gpa

reference

rdataset-openintro-gpa’s home link.

R package

openintro

R Dataset

gpa

1333. Sample of students and their GPA and IQ

name

rdataset-openintro-gpa_iq

reference

rdataset-openintro-gpa_iq’s home link.

R package

openintro

R Dataset

gpa_iq

1334. gpa_study_hours

name

rdataset-openintro-gpa_study_hours

reference

rdataset-openintro-gpa_study_hours’s home link.

R package

openintro

R Dataset

gpa_study_hours

1335. Simulated data for analyzing the relationship between watching TV and grades

name

rdataset-openintro-gradestv

reference

rdataset-openintro-gradestv’s home link.

R package

openintro

R Dataset

gradestv

1336. Simulated Google search experiment

name

rdataset-openintro-gsearch

reference

rdataset-openintro-gsearch’s home link.

R package

openintro

R Dataset

gsearch

1337. 2010 General Social Survey

name

rdataset-openintro-gss2010

reference

rdataset-openintro-gss2010’s home link.

R package

openintro

R Dataset

gss2010

1338. Health Coverage and Health Status

name

rdataset-openintro-health_coverage

reference

rdataset-openintro-health_coverage’s home link.

R package

openintro

R Dataset

health_coverage

1339. Pew Research Center poll on health care, including question variants

name

rdataset-openintro-healthcare_law_survey

reference

rdataset-openintro-healthcare_law_survey’s home link.

R package

openintro

R Dataset

healthcare_law_survey

1340. Heart Transplant Data

name

rdataset-openintro-heart_transplant

reference

rdataset-openintro-heart_transplant’s home link.

R package

openintro

R Dataset

heart_transplant

1341. Helium football

name

rdataset-openintro-helium

reference

rdataset-openintro-helium’s home link.

R package

openintro

R Dataset

helium

1342. Socioeconomic status and reduced-fee school lunches

name

rdataset-openintro-helmet

reference

rdataset-openintro-helmet’s home link.

R package

openintro

R Dataset

helmet

1343. Human Freedom Index

name

rdataset-openintro-hfi

reference

rdataset-openintro-hfi’s home link.

R package

openintro

R Dataset

hfi

1344. United States House of Representatives historical make-up

name

rdataset-openintro-house

reference

rdataset-openintro-house’s home link.

R package

openintro

R Dataset

house

1345. Simulated data set on student housing

name

rdataset-openintro-housing

reference

rdataset-openintro-housing’s home link.

R package

openintro

R Dataset

housing

1346. High School and Beyond survey

name

rdataset-openintro-hsb2

reference

rdataset-openintro-hsb2’s home link.

R package

openintro

R Dataset

hsb2

1347. Great Britain: husband and wife pairs

name

rdataset-openintro-husbands_wives

reference

rdataset-openintro-husbands_wives’s home link.

R package

openintro

R Dataset

husbands_wives

1348. Poll on illegal workers in the US

name

rdataset-openintro-immigration

reference

rdataset-openintro-immigration’s home link.

R package

openintro

R Dataset

immigration

1349. Introduction to Modern Statistics (IMS) Colors

name

rdataset-openintro-imscol

reference

rdataset-openintro-imscol’s home link.

R package

openintro

R Dataset

imscol

1350. Infant Mortality Rates, 2012

name

rdataset-openintro-infmortrate

reference

rdataset-openintro-infmortrate’s home link.

R package

openintro

R Dataset

infmortrate

1351. Length of songs on an iPod

name

rdataset-openintro-ipod

reference

rdataset-openintro-ipod’s home link.

R package

openintro

R Dataset

ipod

1352. Simulated juror data set

name

rdataset-openintro-jury

reference

rdataset-openintro-jury’s home link.

R package

openintro

R Dataset

jury

1353. Kobe Bryant basketball performance

name

rdataset-openintro-kobe_basket

reference

rdataset-openintro-kobe_basket’s home link.

R package

openintro

R Dataset

kobe_basket

1354. Are Emily and Greg More Employable Than Lakisha and Jamal?

name

rdataset-openintro-labor_market_discrimination

reference

rdataset-openintro-labor_market_discrimination’s home link.

R package

openintro

R Dataset

labor_market_discrimination

1355. Gender, Socioeconomic Class, and Interview Invites

name

rdataset-openintro-law_resume

reference

rdataset-openintro-law_resume’s home link.

R package

openintro

R Dataset

law_resume

1356. Legalization of Marijuana Support in 2010 California Survey

name

rdataset-openintro-leg_mari

reference

rdataset-openintro-leg_mari’s home link.

R package

openintro

R Dataset

leg_mari

1357. Field data on lizards observed in their natural habitat

name

rdataset-openintro-lizard_habitat

reference

rdataset-openintro-lizard_habitat’s home link.

R package

openintro

R Dataset

lizard_habitat

1358. Lizard speeds

name

rdataset-openintro-lizard_run

reference

rdataset-openintro-lizard_run’s home link.

R package

openintro

R Dataset

lizard_run

1359. Loan data from Lending Club

name

rdataset-openintro-loan50

reference

rdataset-openintro-loan50’s home link.

R package

openintro

R Dataset

loan50

1360. Loan data from Lending Club

name

rdataset-openintro-loans_full_schema

reference

rdataset-openintro-loans_full_schema’s home link.

R package

openintro

R Dataset

loans_full_schema

1361. London Borough Boundaries

name

rdataset-openintro-london_boroughs

reference

rdataset-openintro-london_boroughs’s home link.

R package

openintro

R Dataset

london_boroughs

1362. London Murders, 2006-2011

name

rdataset-openintro-london_murders

reference

rdataset-openintro-london_murders’s home link.

R package

openintro

R Dataset

london_murders

1363. Influence of a Good Mood on Helpfulness

name

rdataset-openintro-mail_me

reference

rdataset-openintro-mail_me’s home link.

R package

openintro

R Dataset

mail_me

1364. Survey of Duke students and the area of their major

name

rdataset-openintro-major_survey

reference

rdataset-openintro-major_survey’s home link.

R package

openintro

R Dataset

major_survey

1365. Malaria Vaccine Trial

name

rdataset-openintro-malaria

reference

rdataset-openintro-malaria’s home link.

R package

openintro

R Dataset

malaria

1366. Sample of 100 male heights

name

rdataset-openintro-male_heights

reference

rdataset-openintro-male_heights’s home link.

R package

openintro

R Dataset

male_heights

1367. Random sample of adult male heights

name

rdataset-openintro-male_heights_fcid

reference

rdataset-openintro-male_heights_fcid’s home link.

R package

openintro

R Dataset

male_heights_fcid

1368. Sleep in Mammals

name

rdataset-openintro-mammals

reference

rdataset-openintro-mammals’s home link.

R package

openintro

R Dataset

mammals

1369. Experiment with Mammogram Randomized

name

rdataset-openintro-mammogram

reference

rdataset-openintro-mammogram’s home link.

R package

openintro

R Dataset

mammogram

1370. New York City Marathon Times (outdated)

name

rdataset-openintro-marathon

reference

rdataset-openintro-marathon’s home link.

R package

openintro

R Dataset

marathon

1371. Wii Mario Kart auctions from Ebay

name

rdataset-openintro-mariokart

reference

rdataset-openintro-mariokart’s home link.

R package

openintro

R Dataset

mariokart

1372. Marvel Cinematic Universe films

name

rdataset-openintro-mcu_films

reference

rdataset-openintro-mcu_films’s home link.

R package

openintro

R Dataset

mcu_films

1373. President’s party performance and unemployment rate

name

rdataset-openintro-midterms_house

reference

rdataset-openintro-midterms_house’s home link.

R package

openintro

R Dataset

midterms_house

1374. Migraines and acupuncture

name

rdataset-openintro-migraine

reference

rdataset-openintro-migraine’s home link.

R package

openintro

R Dataset

migraine

1375. US Military Demographics

name

rdataset-openintro-military

reference

rdataset-openintro-military’s home link.

R package

openintro

R Dataset

military

1376. Salary data for Major League Baseball (2010)

name

rdataset-openintro-mlb

reference

rdataset-openintro-mlb’s home link.

R package

openintro

R Dataset

mlb

1377. Batter Statistics for 2018 Major League Baseball (MLB) Season

name

rdataset-openintro-mlb_players_18

reference

rdataset-openintro-mlb_players_18’s home link.

R package

openintro

R Dataset

mlb_players_18

1378. Major League Baseball Teams Data.

name

rdataset-openintro-mlb_teams

reference

rdataset-openintro-mlb_teams’s home link.

R package

openintro

R Dataset

mlb_teams

1379. Major League Baseball Player Hitting Statistics for 2010

name

rdataset-openintro-mlbbat10

reference

rdataset-openintro-mlbbat10’s home link.

R package

openintro

R Dataset

mlbbat10

1380. Minneapolis police use of force data.

name

rdataset-openintro-mn_police_use_of_force

reference

rdataset-openintro-mn_police_use_of_force’s home link.

R package

openintro

R Dataset

mn_police_use_of_force

1381. Medial temporal lobe (MTL) and other data for 26 participants

name

rdataset-openintro-mtl

reference

rdataset-openintro-mtl’s home link.

R package

openintro

R Dataset

mtl

1382. Data for 20 metropolitan areas

name

rdataset-openintro-murders

reference

rdataset-openintro-murders’s home link.

R package

openintro

R Dataset

murders

1383. NBA Player heights from 2008-9

name

rdataset-openintro-nba_heights

reference

rdataset-openintro-nba_heights’s home link.

R package

openintro

R Dataset

nba_heights

1384. NBA Players for the 2018-2019 season

name

rdataset-openintro-nba_players_19

reference

rdataset-openintro-nba_players_19’s home link.

R package

openintro

R Dataset

nba_players_19

1385. North Carolina births, 1000 cases

name

rdataset-openintro-ncbirths

reference

rdataset-openintro-ncbirths’s home link.

R package

openintro

R Dataset

ncbirths

1386. Nuclear Arms Reduction Survey

name

rdataset-openintro-nuclear_survey

reference

rdataset-openintro-nuclear_survey’s home link.

R package

openintro

R Dataset

nuclear_survey

1387. New York City Marathon Times

name

rdataset-openintro-nyc_marathon

reference

rdataset-openintro-nyc_marathon’s home link.

R package

openintro

R Dataset

nyc_marathon

1388. Flights data

name

rdataset-openintro-nycflights

reference

rdataset-openintro-nycflights’s home link.

R package

openintro

R Dataset

nycflights

1389. California poll on drilling off the California coast

name

rdataset-openintro-offshore_drilling

reference

rdataset-openintro-offshore_drilling’s home link.

R package

openintro

R Dataset

offshore_drilling

1390. OpenIntro colors

name

rdataset-openintro-openintro_colors

reference

rdataset-openintro-openintro_colors’s home link.

R package

openintro

R Dataset

openintro_colors

1391. Opportunity cost of purchases

name

rdataset-openintro-opportunity_cost

reference

rdataset-openintro-opportunity_cost’s home link.

R package

openintro

R Dataset

opportunity_cost

1392. 1986 Challenger disaster and O-rings

name

rdataset-openintro-orings

reference

rdataset-openintro-orings’s home link.

R package

openintro

R Dataset

orings

1393. Oscar winners, 1929 to 2018

name

rdataset-openintro-oscars

reference

rdataset-openintro-oscars’s home link.

R package

openintro

R Dataset

oscars

1394. Simulated data sets for different types of outliers

name

rdataset-openintro-outliers

reference

rdataset-openintro-outliers’s home link.

R package

openintro

R Dataset

outliers

1395. Guesses at the weight of Penelope (a cow)

name

rdataset-openintro-penelope

reference

rdataset-openintro-penelope’s home link.

R package

openintro

R Dataset

penelope

1396. What’s the best way to loosen a rusty bolt?

name

rdataset-openintro-penetrating_oil

reference

rdataset-openintro-penetrating_oil’s home link.

R package

openintro

R Dataset

penetrating_oil

1397. Penny Ages

name

rdataset-openintro-penny_ages

reference

rdataset-openintro-penny_ages’s home link.

R package

openintro

R Dataset

penny_ages

1398. Pew Survey on Energy Sources in 2018

name

rdataset-openintro-pew_energy_2018

reference

rdataset-openintro-pew_energy_2018’s home link.

R package

openintro

R Dataset

pew_energy_2018

1399. Photo classifications: fashion or not

name

rdataset-openintro-photo_classify

reference

rdataset-openintro-photo_classify’s home link.

R package

openintro

R Dataset

photo_classify

1400. Piracy and PIPA/SOPA

name

rdataset-openintro-piracy

reference

rdataset-openintro-piracy’s home link.

R package

openintro

R Dataset

piracy

1401. Table of Playing Cards in 52-Card Deck

name

rdataset-openintro-playing_cards

reference

rdataset-openintro-playing_cards’s home link.

R package

openintro

R Dataset

playing_cards

1402. Air quality for Durham, NC

name

rdataset-openintro-pm25_2011_durham

reference

rdataset-openintro-pm25_2011_durham’s home link.

R package

openintro

R Dataset

pm25_2011_durham

1403. Poker winnings during 50 sessions

name

rdataset-openintro-poker

reference

rdataset-openintro-poker’s home link.

R package

openintro

R Dataset

poker

1404. Possums in Australia and New Guinea

name

rdataset-openintro-possum

reference

rdataset-openintro-possum’s home link.

R package

openintro

R Dataset

possum

1405. US Poll on who it is better to raise taxes on

name

rdataset-openintro-ppp_201503

reference

rdataset-openintro-ppp_201503’s home link.

R package

openintro

R Dataset

ppp_201503

1406. Birth counts

name

rdataset-openintro-present

reference

rdataset-openintro-present’s home link.

R package

openintro

R Dataset

present

1407. United States Presidental History

name

rdataset-openintro-president

reference

rdataset-openintro-president’s home link.

R package

openintro

R Dataset

president

1408. Prison isolation experiment

name

rdataset-openintro-prison

reference

rdataset-openintro-prison’s home link.

R package

openintro

R Dataset

prison

1409. User reported fuel efficiency for 2017 Toyota Prius Prime

name

rdataset-openintro-prius_mpg

reference

rdataset-openintro-prius_mpg’s home link.

R package

openintro

R Dataset

prius_mpg

1410. Yahoo! News Race and Justice poll results

name

rdataset-openintro-race_justice

reference

rdataset-openintro-race_justice’s home link.

R package

openintro

R Dataset

race_justice

1411. Reddit Survey on Financial Independence.

name

rdataset-openintro-reddit_finance

reference

rdataset-openintro-reddit_finance’s home link.

R package

openintro

R Dataset

reddit_finance

1412. Simulated data for regression

name

rdataset-openintro-res_demo_1

reference

rdataset-openintro-res_demo_1’s home link.

R package

openintro

R Dataset

res_demo_1

1413. Simulated data for regression

name

rdataset-openintro-res_demo_2

reference

rdataset-openintro-res_demo_2’s home link.

R package

openintro

R Dataset

res_demo_2

1414. Which resume attributes drive job callbacks?

name

rdataset-openintro-resume

reference

rdataset-openintro-resume’s home link.

R package

openintro

R Dataset

resume

1415. Sample Responses to Two Public Health Questions

name

rdataset-openintro-rosling_responses

reference

rdataset-openintro-rosling_responses’s home link.

R package

openintro

R Dataset

rosling_responses

1416. Russians’ Opinions on US Election Influence in 2016

name

rdataset-openintro-russian_influence_on_us_election_2016

reference

rdataset-openintro-russian_influence_on_us_election_2016’s home link.

R package

openintro

R Dataset

russian_influence_on_us_election_2016

1417. Sustainability and Economic Indicators for South Africa.

name

rdataset-openintro-sa_gdp_elec

reference

rdataset-openintro-sa_gdp_elec’s home link.

R package

openintro

R Dataset

sa_gdp_elec

1418. Salinity in Bimini Lagoon, Bahamas

name

rdataset-openintro-salinity

reference

rdataset-openintro-salinity’s home link.

R package

openintro

R Dataset

salinity

1419. Simulated data for SAT score improvement

name

rdataset-openintro-sat_improve

reference

rdataset-openintro-sat_improve’s home link.

R package

openintro

R Dataset

sat_improve

1420. SAT and GPA data

name

rdataset-openintro-satgpa

reference

rdataset-openintro-satgpa’s home link.

R package

openintro

R Dataset

satgpa

1421. Public Opinion with SCOTUS ruling on American Healthcare Act

name

rdataset-openintro-scotus_healthcare

reference

rdataset-openintro-scotus_healthcare’s home link.

R package

openintro

R Dataset

scotus_healthcare

1422. Names of pets in Seattle

name

rdataset-openintro-seattlepets

reference

rdataset-openintro-seattlepets’s home link.

R package

openintro

R Dataset

seattlepets

1423. Bank manager recommendations based on sex

name

rdataset-openintro-sex_discrimination

reference

rdataset-openintro-sex_discrimination’s home link.

R package

openintro

R Dataset

sex_discrimination

1424. Simpson’s Paradox: Covid

name

rdataset-openintro-simpsons_paradox_covid

reference

rdataset-openintro-simpsons_paradox_covid’s home link.

R package

openintro

R Dataset

simpsons_paradox_covid

1425. Simulated data sets, drawn from a normal distribution.

name

rdataset-openintro-simulated_normal

reference

rdataset-openintro-simulated_normal’s home link.

R package

openintro

R Dataset

simulated_normal

1426. Simulated data for sample scatterplots

name

rdataset-openintro-simulated_scatter

reference

rdataset-openintro-simulated_scatter’s home link.

R package

openintro

R Dataset

simulated_scatter

1427. Sinusitis and antibiotic experiment

name

rdataset-openintro-sinusitis

reference

rdataset-openintro-sinusitis’s home link.

R package

openintro

R Dataset

sinusitis

1428. Survey on sleep deprivation and transportation workers

name

rdataset-openintro-sleep_deprivation

reference

rdataset-openintro-sleep_deprivation’s home link.

R package

openintro

R Dataset

sleep_deprivation

1429. Smallpox vaccine results

name

rdataset-openintro-smallpox

reference

rdataset-openintro-smallpox’s home link.

R package

openintro

R Dataset

smallpox

1430. UK Smoking Data

name

rdataset-openintro-smoking

reference

rdataset-openintro-smoking’s home link.

R package

openintro

R Dataset

smoking

1431. Snowfall at Paradise, Mt. Rainier National Park

name

rdataset-openintro-snowfall

reference

rdataset-openintro-snowfall’s home link.

R package

openintro

R Dataset

snowfall

1432. Social experiment

name

rdataset-openintro-socialexp

reference

rdataset-openintro-socialexp’s home link.

R package

openintro

R Dataset

socialexp

1433. Energy Output From Two Solar Arrays in San Francisco

name

rdataset-openintro-solar

reference

rdataset-openintro-solar’s home link.

R package

openintro

R Dataset

solar

1434. SOWC Child Mortality Data.

name

rdataset-openintro-sowc_child_mortality

reference

rdataset-openintro-sowc_child_mortality’s home link.

R package

openintro

R Dataset

sowc_child_mortality

1435. SOWC Demographics Data.

name

rdataset-openintro-sowc_demographics

reference

rdataset-openintro-sowc_demographics’s home link.

R package

openintro

R Dataset

sowc_demographics

1436. SOWC Maternal and Newborn Health Data.

name

rdataset-openintro-sowc_maternal_newborn

reference

rdataset-openintro-sowc_maternal_newborn’s home link.

R package

openintro

R Dataset

sowc_maternal_newborn

1437. Financial information for 50 S&P 500 companies

name

rdataset-openintro-sp500

reference

rdataset-openintro-sp500’s home link.

R package

openintro

R Dataset

sp500

1438. Daily observations for the S&P 500

name

rdataset-openintro-sp500_1950_2018

reference

rdataset-openintro-sp500_1950_2018’s home link.

R package

openintro

R Dataset

sp500_1950_2018

1439. S&P 500 stock data

name

rdataset-openintro-sp500_seq

reference

rdataset-openintro-sp500_seq’s home link.

R package

openintro

R Dataset

sp500_seq

1440. Speed, gender, and height of 1325 students

name

rdataset-openintro-speed_gender_height

reference

rdataset-openintro-speed_gender_height’s home link.

R package

openintro

R Dataset

speed_gender_height

1441. SSD read and write speeds

name

rdataset-openintro-ssd_speed

reference

rdataset-openintro-ssd_speed’s home link.

R package

openintro

R Dataset

ssd_speed

1442. Starbucks nutrition

name

rdataset-openintro-starbucks

reference

rdataset-openintro-starbucks’s home link.

R package

openintro

R Dataset

starbucks

1443. Final exam scores for twenty students

name

rdataset-openintro-stats_scores

reference

rdataset-openintro-stats_scores’s home link.

R package

openintro

R Dataset

stats_scores

1444. Embryonic stem cells to treat heart attack (in sheep)

name

rdataset-openintro-stem_cell

reference

rdataset-openintro-stem_cell’s home link.

R package

openintro

R Dataset

stem_cell

1445. Stents for the treatment of stroke

name

rdataset-openintro-stent30

reference

rdataset-openintro-stent30’s home link.

R package

openintro

R Dataset

stent30

1446. Stents for the treatment of stroke

name

rdataset-openintro-stent365

reference

rdataset-openintro-stent365’s home link.

R package

openintro

R Dataset

stent365

1447. Monthly Returns for a few stocks

name

rdataset-openintro-stocks_18

reference

rdataset-openintro-stocks_18’s home link.

R package

openintro

R Dataset

stocks_18

1448. Community college housing (simulated data, 2015)

name

rdataset-openintro-student_housing

reference

rdataset-openintro-student_housing’s home link.

R package

openintro

R Dataset

student_housing

1449. Sleep for 110 students (simulated)

name

rdataset-openintro-student_sleep

reference

rdataset-openintro-student_sleep’s home link.

R package

openintro

R Dataset

student_sleep

1450. Treating heart attacks

name

rdataset-openintro-sulphinpyrazone

reference

rdataset-openintro-sulphinpyrazone’s home link.

R package

openintro

R Dataset

sulphinpyrazone

1451. Supreme Court approval rating

name

rdataset-openintro-supreme_court

reference

rdataset-openintro-supreme_court’s home link.

R package

openintro

R Dataset

supreme_court

1452. Teacher Salaries in St. Louis, Michigan

name

rdataset-openintro-teacher

reference

rdataset-openintro-teacher’s home link.

R package

openintro

R Dataset

teacher

1453. Textbook data for UCLA Bookstore and Amazon

name

rdataset-openintro-textbooks

reference

rdataset-openintro-textbooks’s home link.

R package

openintro

R Dataset

textbooks

1454. Thanksgiving spending, simulated based on Gallup poll.

name

rdataset-openintro-thanksgiving_spend

reference

rdataset-openintro-thanksgiving_spend’s home link.

R package

openintro

R Dataset

thanksgiving_spend

1455. Tip data

name

rdataset-openintro-tips

reference

rdataset-openintro-tips’s home link.

R package

openintro

R Dataset

tips

1456. Simulated polling data set

name

rdataset-openintro-toohey

reference

rdataset-openintro-toohey’s home link.

R package

openintro

R Dataset

toohey

1457. Turkey tourism

name

rdataset-openintro-tourism

reference

rdataset-openintro-tourism’s home link.

R package

openintro

R Dataset

tourism

1458. Simulated data set for ANOVA

name

rdataset-openintro-toy_anova

reference

rdataset-openintro-toy_anova’s home link.

R package

openintro

R Dataset

toy_anova

1459. Transplant consultant success rate (fake data)

name

rdataset-openintro-transplant

reference

rdataset-openintro-transplant’s home link.

R package

openintro

R Dataset

transplant

1460. UCLA courses in Fall 2018

name

rdataset-openintro-ucla_f18

reference

rdataset-openintro-ucla_f18’s home link.

R package

openintro

R Dataset

ucla_f18

1461. Sample of UCLA course textbooks for Fall 2018

name

rdataset-openintro-ucla_textbooks_f18

reference

rdataset-openintro-ucla_textbooks_f18’s home link.

R package

openintro

R Dataset

ucla_textbooks_f18

1462. United Kingdom Demographic Data

name

rdataset-openintro-ukdemo

reference

rdataset-openintro-ukdemo’s home link.

R package

openintro

R Dataset

ukdemo

1463. Annual unemployment since 1890

name

rdataset-openintro-unempl

reference

rdataset-openintro-unempl’s home link.

R package

openintro

R Dataset

unempl

1464. President’s party performance and unemployment rate

name

rdataset-openintro-unemploy_pres

reference

rdataset-openintro-unemploy_pres’s home link.

R package

openintro

R Dataset

unemploy_pres

1465. Time Between Gondola Cars at Sterling Winery

name

rdataset-openintro-winery_cars

reference

rdataset-openintro-winery_cars’s home link.

R package

openintro

R Dataset

winery_cars

1466. World Population Data.

name

rdataset-openintro-world_pop

reference

rdataset-openintro-world_pop’s home link.

R package

openintro

R Dataset

world_pop

1467. Exxon Mobile stock data

name

rdataset-openintro-xom

reference

rdataset-openintro-xom’s home link.

R package

openintro

R Dataset

xom

1468. Contagiousness of yawning

name

rdataset-openintro-yawn

reference

rdataset-openintro-yawn’s home link.

R package

openintro

R Dataset

yawn

1469. Youth Risk Behavior Surveillance System (YRBSS)

name

rdataset-openintro-yrbss

reference

rdataset-openintro-yrbss’s home link.

R package

openintro

R Dataset

yrbss

1470. Sample of Youth Risk Behavior Surveillance System (YRBSS)

name

rdataset-openintro-yrbss_samp

reference

rdataset-openintro-yrbss_samp’s home link.

R package

openintro

R Dataset

yrbss_samp

1471. Income distribution (percentages) in the Northeast US

name

rdataset-ordinal-income

reference

rdataset-ordinal-income’s home link.

R package

ordinal

R Dataset

income

1472. Discrimination study of packet soup

name

rdataset-ordinal-soup

reference

rdataset-ordinal-soup’s home link.

R package

ordinal

R Dataset

soup

1473. Bitterness of wine

name

rdataset-ordinal-wine

reference

rdataset-ordinal-wine’s home link.

R package

ordinal

R Dataset

wine

1474. Size measurements for adult foraging penguins near Palmer Station, Antarctica

name

rdataset-palmerpenguins-penguins

reference

rdataset-palmerpenguins-penguins’s home link.

R package

palmerpenguins

R Dataset

penguins

1475. Penguin size, clutch, and blood isotope data for foraging adults near Palmer Station, Antarctica

name

rdataset-palmerpenguins-penguins_raw (penguins)

reference

rdataset-palmerpenguins-penguins_raw (penguins)’s home link.

R package

palmerpenguins

R Dataset

penguins_raw (penguins)

1476. Cigarette Consumption

name

rdataset-plm-cigar

reference

rdataset-plm-cigar’s home link.

R package

plm

R Dataset

cigar

1477. Crime in North Carolina

name

rdataset-plm-crime

reference

rdataset-plm-crime’s home link.

R package

plm

R Dataset

crime

1478. Employment and Wages in the United Kingdom

name

rdataset-plm-empluk

reference

rdataset-plm-empluk’s home link.

R package

plm

R Dataset

empluk

1479. Gasoline Consumption

name

rdataset-plm-gasoline

reference

rdataset-plm-gasoline’s home link.

R package

plm

R Dataset

gasoline

1480. Grunfeld’s Investment Data

name

rdataset-plm-grunfeld

reference

rdataset-plm-grunfeld’s home link.

R package

plm

R Dataset

grunfeld

1481. Hedonic Prices of Census Tracts in the Boston Area

name

rdataset-plm-hedonic

reference

rdataset-plm-hedonic’s home link.

R package

plm

R Dataset

hedonic

1482. Wages and Hours Worked

name

rdataset-plm-laborsupply

reference

rdataset-plm-laborsupply’s home link.

R package

plm

R Dataset

laborsupply

1483. Wages and Education of Young Males

name

rdataset-plm-males

reference

rdataset-plm-males’s home link.

R package

plm

R Dataset

males

1484. Purchasing Power Parity and other parity relationships

name

rdataset-plm-parity

reference

rdataset-plm-parity’s home link.

R package

plm

R Dataset

parity

1485. US States Production

name

rdataset-plm-produc

reference

rdataset-plm-produc’s home link.

R package

plm

R Dataset

produc

1486. Production of Rice in Indonesia

name

rdataset-plm-ricefarms

reference

rdataset-plm-ricefarms’s home link.

R package

plm

R Dataset

ricefarms

1487. Employment and Wages in Spain

name

rdataset-plm-snmesp

reference

rdataset-plm-snmesp’s home link.

R package

plm

R Dataset

snmesp

1488. The Penn World Table, v. 5

name

rdataset-plm-sumhes

reference

rdataset-plm-sumhes’s home link.

R package

plm

R Dataset

sumhes

1489. Panel Data of Individual Wages

name

rdataset-plm-wages

reference

rdataset-plm-wages’s home link.

R package

plm

R Dataset

wages

1490. Yearly batting records for all major league baseball players

name

rdataset-plyr-baseball

reference

rdataset-plyr-baseball’s home link.

R package

plyr

R Dataset

baseball

1491. Monthly ozone measurements over Central America.

name

rdataset-plyr-ozone

reference

rdataset-plyr-ozone’s home link.

R package

plyr

R Dataset

ozone

1492. Absentee and Machine Ballots in Pennsylvania State Senate Races

name

rdataset-pscl-absentee

reference

rdataset-pscl-absentee’s home link.

R package

pscl

R Dataset

absentee

1493. Applications to a Political Science PhD Program

name

rdataset-pscl-admit

reference

rdataset-pscl-admit’s home link.

R package

pscl

R Dataset

admit

1494. Political opinion polls in Australia, 2004-07

name

rdataset-pscl-australianelectionpolling

reference

rdataset-pscl-australianelectionpolling’s home link.

R package

pscl

R Dataset

australianelectionpolling

1495. elections to Australian House of Representatives, 1949-2016

name

rdataset-pscl-australianelections

reference

rdataset-pscl-australianelections’s home link.

R package

pscl

R Dataset

australianelections

1496. article production by graduate students in biochemistry Ph.D. programs

name

rdataset-pscl-biochemists

reference

rdataset-pscl-biochemists’s home link.

R package

pscl

R Dataset

biochemists

1497. California Congressional Districts in 2006

name

rdataset-pscl-ca2006

reference

rdataset-pscl-ca2006’s home link.

R package

pscl

R Dataset

ca2006

1498. Batting Averages for 18 major league baseball players, 1970

name

rdataset-pscl-efronmorris

reference

rdataset-pscl-efronmorris’s home link.

R package

pscl

R Dataset

efronmorris

1499. U.S. Senate vote on the use of force against Iraq, 2002.

name

rdataset-pscl-iraqvote

reference

rdataset-pscl-iraqvote’s home link.

R package

pscl

R Dataset

iraqvote

1500. political parties appearing in the U.S. Congress

name

rdataset-pscl-partycodes

reference

rdataset-pscl-partycodes’s home link.

R package

pscl

R Dataset

partycodes

1501. Interviewer ratings of respondent levels of political information

name

rdataset-pscl-politicalinformation

reference

rdataset-pscl-politicalinformation’s home link.

R package

pscl

R Dataset

politicalinformation

1502. elections for U.S. President, 1932-2016, by state

name

rdataset-pscl-presidentialelections

reference

rdataset-pscl-presidentialelections’s home link.

R package

pscl

R Dataset

presidentialelections

1503. Prussian army horse kick data

name

rdataset-pscl-prussian

reference

rdataset-pscl-prussian’s home link.

R package

pscl

R Dataset

prussian

1504. Voter turnout experiment, using Rock The Vote ads

name

rdataset-pscl-rockthevote

reference

rdataset-pscl-rockthevote’s home link.

R package

pscl

R Dataset

rockthevote

1505. information about the American states needed for U.S. Congress

name

rdataset-pscl-state.info

reference

rdataset-pscl-state.info’s home link.

R package

pscl

R Dataset

state.info

1506. 1992 United Kingdom electoral returns

name

rdataset-pscl-ukhouseofcommons

reference

rdataset-pscl-ukhouseofcommons’s home link.

R package

pscl

R Dataset

ukhouseofcommons

1507. cross national rates of trade union density

name

rdataset-pscl-uniondensity

reference

rdataset-pscl-uniondensity’s home link.

R package

pscl

R Dataset

uniondensity

1508. Reports of voting in the 1992 U.S. Presidential election.

name

rdataset-pscl-vote92

reference

rdataset-pscl-vote92’s home link.

R package

pscl

R Dataset

vote92

1509. Seven data sets showing a bifactor solution.

name

rdataset-psych-bechtoldt

reference

rdataset-psych-bechtoldt’s home link.

R package

psych

R Dataset

bechtoldt

1510. Seven data sets showing a bifactor solution.

name

rdataset-psych-bechtoldt.1

reference

rdataset-psych-bechtoldt.1’s home link.

R package

psych

R Dataset

bechtoldt.1

1511. Seven data sets showing a bifactor solution.

name

rdataset-psych-bechtoldt.2

reference

rdataset-psych-bechtoldt.2’s home link.

R package

psych

R Dataset

bechtoldt.2

1512. 25 Personality items representing 5 factors

name

rdataset-psych-bfi

reference

rdataset-psych-bfi’s home link.

R package

psych

R Dataset

bfi

1513. 25 Personality items representing 5 factors

name

rdataset-psych-bfi.keys (bfi)

reference

rdataset-psych-bfi.keys (bfi)’s home link.

R package

psych

R Dataset

bfi.keys (bfi)

1514. Bock and Liberman (1970) data set of 1000 observations of the LSAT

name

rdataset-psych-bock.table (bock)

reference

rdataset-psych-bock.table (bock)’s home link.

R package

psych

R Dataset

bock.table (bock)

1515. 12 cognitive variables from Cattell (1963)

name

rdataset-psych-cattell

reference

rdataset-psych-cattell’s home link.

R package

psych

R Dataset

cattell

1516. 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation

name

rdataset-psych-chen (schmid)

reference

rdataset-psych-chen (schmid)’s home link.

R package

psych

R Dataset

chen (schmid)

1517. 8 cognitive variables used by Dwyer for an example.

name

rdataset-psych-dwyer

reference

rdataset-psych-dwyer’s home link.

R package

psych

R Dataset

dwyer

1518. Data from the sexism (protest) study of Garcia, Schmitt, Branscome, and Ellemers (2010)

name

rdataset-psych-garcia (gsbe)

reference

rdataset-psych-garcia (gsbe)’s home link.

R package

psych

R Dataset

garcia (gsbe)

1519. Example data from Gleser, Cronbach and Rajaratnam (1965) to show basic principles of generalizability theory.

name

rdataset-psych-gleser

reference

rdataset-psych-gleser’s home link.

R package

psych

R Dataset

gleser

1520. Example data set from Gorsuch (1997) for an example factor extension.

name

rdataset-psych-gorsuch

reference

rdataset-psych-gorsuch’s home link.

R package

psych

R Dataset

gorsuch

1521. Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt

name

rdataset-psych-harman.5

reference

rdataset-psych-harman.5’s home link.

R package

psych

R Dataset

harman.5

1522. Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt

name

rdataset-psych-harman.8

reference

rdataset-psych-harman.8’s home link.

R package

psych

R Dataset

harman.8

1523. Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt

name

rdataset-psych-harman.burt (harman)

reference

rdataset-psych-harman.burt (harman)’s home link.

R package

psych

R Dataset

harman.burt (harman)

1524. Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt

name

rdataset-psych-harman.holzinger (harman)

reference

rdataset-psych-harman.holzinger (harman)’s home link.

R package

psych

R Dataset

harman.holzinger (harman)

1525. Five data sets from Harman (1967). 9 cognitive variables from Holzinger and 8 emotional variables from Burt

name

rdataset-psych-harman.political

reference

rdataset-psych-harman.political’s home link.

R package

psych

R Dataset

harman.political

1526. Seven data sets showing a bifactor solution.

name

rdataset-psych-holzinger

reference

rdataset-psych-holzinger’s home link.

R package

psych

R Dataset

holzinger

1527. Seven data sets showing a bifactor solution.

name

rdataset-psych-holzinger.9

reference

rdataset-psych-holzinger.9’s home link.

R package

psych

R Dataset

holzinger.9

1528. Bock and Liberman (1970) data set of 1000 observations of the LSAT

name

rdataset-psych-lsat6 (bock)

reference

rdataset-psych-lsat6 (bock)’s home link.

R package

psych

R Dataset

lsat6 (bock)

1529. Bock and Liberman (1970) data set of 1000 observations of the LSAT

name

rdataset-psych-lsat7 (bock)

reference

rdataset-psych-lsat7 (bock)’s home link.

R package

psych

R Dataset

lsat7 (bock)

1530. Seven data sets showing a bifactor solution.

name

rdataset-psych-reise

reference

rdataset-psych-reise’s home link.

R package

psych

R Dataset

reise

1531. 3 Measures of ability: SATV, SATQ, ACT

name

rdataset-psych-sat.act

reference

rdataset-psych-sat.act’s home link.

R package

psych

R Dataset

sat.act

1532. 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation

name

rdataset-psych-schmid

reference

rdataset-psych-schmid’s home link.

R package

psych

R Dataset

schmid

1533. 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation

name

rdataset-psych-schmid.leiman (schmid)

reference

rdataset-psych-schmid.leiman (schmid)’s home link.

R package

psych

R Dataset

schmid.leiman (schmid)

1534. Data set testing causal direction in presumed media influence

name

rdataset-psych-tal_or (tal_or)

reference

rdataset-psych-tal_or (tal_or)’s home link.

R package

psych

R Dataset

tal_or (tal_or)

1535. Data set testing causal direction in presumed media influence

name

rdataset-psych-tal.or

reference

rdataset-psych-tal.or’s home link.

R package

psych

R Dataset

tal.or

1536. Seven data sets showing a bifactor solution.

name

rdataset-psych-thurstone

reference

rdataset-psych-thurstone’s home link.

R package

psych

R Dataset

thurstone

1537. Seven data sets showing a bifactor solution.

name

rdataset-psych-thurstone.33

reference

rdataset-psych-thurstone.33’s home link.

R package

psych

R Dataset

thurstone.33

1538. Seven data sets showing a bifactor solution.

name

rdataset-psych-thurstone.33g

reference

rdataset-psych-thurstone.33g’s home link.

R package

psych

R Dataset

thurstone.33g

1539. Seven data sets showing a bifactor solution.

name

rdataset-psych-thurstone.9

reference

rdataset-psych-thurstone.9’s home link.

R package

psych

R Dataset

thurstone.9

1540. 9 Cognitive variables discussed by Tucker and Lewis (1973)

name

rdataset-psych-tucker

reference

rdataset-psych-tucker’s home link.

R package

psych

R Dataset

tucker

1541. 12 variables created by Schmid and Leiman to show the Schmid-Leiman Transformation

name

rdataset-psych-west (schmid)

reference

rdataset-psych-west (schmid)’s home link.

R package

psych

R Dataset

west (schmid)

1542. An example of the distinction between within group and between group correlations

name

rdataset-psych-withinbetween

reference

rdataset-psych-withinbetween’s home link.

R package

psych

R Dataset

withinbetween

1543. Barro Data

name

rdataset-quantreg-barro

reference

rdataset-quantreg-barro’s home link.

R package

quantreg

R Dataset

barro

1544. Boscovich Data

name

rdataset-quantreg-bosco

reference

rdataset-quantreg-bosco’s home link.

R package

quantreg

R Dataset

bosco

1545. Cobar Ore data

name

rdataset-quantreg-cobarore

reference

rdataset-quantreg-cobarore’s home link.

R package

quantreg

R Dataset

cobarore

1546. Engel Data

name

rdataset-quantreg-engel

reference

rdataset-quantreg-engel’s home link.

R package

quantreg

R Dataset

engel

1547. Time Series of US Gasoline Prices

name

rdataset-quantreg-gasprice

reference

rdataset-quantreg-gasprice’s home link.

R package

quantreg

R Dataset

gasprice

1548. Garland(1983) Data on Running Speed of Mammals

name

rdataset-quantreg-mammals

reference

rdataset-quantreg-mammals’s home link.

R package

quantreg

R Dataset

mammals

1549. Daily maximum temperatures in Melbourne, Australia

name

rdataset-quantreg-meltemp

reference

rdataset-quantreg-meltemp’s home link.

R package

quantreg

R Dataset

meltemp

1550. UIS Drug Treatment study data

name

rdataset-quantreg-uis

reference

rdataset-quantreg-uis’s home link.

R package

quantreg

R Dataset

uis

1551. Complete survey data.

name

rdataset-ratdat-complete

reference

rdataset-ratdat-complete’s home link.

R package

ratdat

R Dataset

complete

1552. Complete survey data from 1977 to 1989.

name

rdataset-ratdat-complete_old

reference

rdataset-ratdat-complete_old’s home link.

R package

ratdat

R Dataset

complete_old

1553. Plots data.

name

rdataset-ratdat-plots

reference

rdataset-ratdat-plots’s home link.

R package

ratdat

R Dataset

plots

1554. Species data.

name

rdataset-ratdat-species

reference

rdataset-ratdat-species’s home link.

R package

ratdat

R Dataset

species

1555. Survey data.

name

rdataset-ratdat-surveys

reference

rdataset-ratdat-surveys’s home link.

R package

ratdat

R Dataset

surveys

1556. Sensory data from a french fries experiment.

name

rdataset-reshape2-french_fries

reference

rdataset-reshape2-french_fries’s home link.

R package

reshape2

R Dataset

french_fries

1557. Demo data describing the Smiths.

name

rdataset-reshape2-smiths

reference

rdataset-reshape2-smiths’s home link.

R package

reshape2

R Dataset

smiths

1558. Tipping data

name

rdataset-reshape2-tips

reference

rdataset-reshape2-tips’s home link.

R package

reshape2

R Dataset

tips

1559. Aircraft Data

name

rdataset-robustbase-aircraft

reference

rdataset-robustbase-aircraft’s home link.

R package

robustbase

R Dataset

aircraft

1560. Air Quality Data

name

rdataset-robustbase-airmay

reference

rdataset-robustbase-airmay’s home link.

R package

robustbase

R Dataset

airmay

1561. Alcohol Solubility in Water Data

name

rdataset-robustbase-alcohol

reference

rdataset-robustbase-alcohol’s home link.

R package

robustbase

R Dataset

alcohol

1562. Daily Means of NOx (mono-nitrogen oxides) in air

name

rdataset-robustbase-ambientnoxch

reference

rdataset-robustbase-ambientnoxch’s home link.

R package

robustbase

R Dataset

ambientnoxch

1563. Brain and Body Weights for 65 Species of Land Animals

name

rdataset-robustbase-animals2

reference

rdataset-robustbase-animals2’s home link.

R package

robustbase

R Dataset

animals2

1564. Biomass Tillage Data

name

rdataset-robustbase-biomasstill

reference

rdataset-robustbase-biomasstill’s home link.

R package

robustbase

R Dataset

biomasstill

1565. Campbell Bushfire Data

name

rdataset-robustbase-bushfire

reference

rdataset-robustbase-bushfire’s home link.

R package

robustbase

R Dataset

bushfire

1566. Insect Damages on Carrots

name

rdataset-robustbase-carrots

reference

rdataset-robustbase-carrots’s home link.

R package

robustbase

R Dataset

carrots

1567. Cloud point of a Liquid

name

rdataset-robustbase-cloud

reference

rdataset-robustbase-cloud’s home link.

R package

robustbase

R Dataset

cloud

1568. Coleman Data Set

name

rdataset-robustbase-coleman

reference

rdataset-robustbase-coleman’s home link.

R package

robustbase

R Dataset

coleman

1569. Condroz Data

name

rdataset-robustbase-condroz

reference

rdataset-robustbase-condroz’s home link.

R package

robustbase

R Dataset

condroz

1570. Crohn’s Disease Adverse Events Data

name

rdataset-robustbase-crohnd

reference

rdataset-robustbase-crohnd’s home link.

R package

robustbase

R Dataset

crohnd

1571. Cushny and Peebles Prolongation of Sleep Data

name

rdataset-robustbase-cushny

reference

rdataset-robustbase-cushny’s home link.

R package

robustbase

R Dataset

cushny

1572. Delivery Time Data

name

rdataset-robustbase-delivery

reference

rdataset-robustbase-delivery’s home link.

R package

robustbase

R Dataset

delivery

1573. Education Expenditure Data

name

rdataset-robustbase-education

reference

rdataset-robustbase-education’s home link.

R package

robustbase

R Dataset

education

1574. Epilepsy Attacks Data Set

name

rdataset-robustbase-epilepsy

reference

rdataset-robustbase-epilepsy’s home link.

R package

robustbase

R Dataset

epilepsy

1575. Example Data of Antille and May - for Simple Regression

name

rdataset-robustbase-exam

reference

rdataset-robustbase-exam’s home link.

R package

robustbase

R Dataset

exam

1576. Food Stamp Program Participation

name

rdataset-robustbase-foodstamp

reference

rdataset-robustbase-foodstamp’s home link.

R package

robustbase

R Dataset

foodstamp

1577. Hawkins, Bradu, Kass’s Artificial Data

name

rdataset-robustbase-hbk

reference

rdataset-robustbase-hbk’s home link.

R package

robustbase

R Dataset

hbk

1578. Heart Catherization Data

name

rdataset-robustbase-heart

reference

rdataset-robustbase-heart’s home link.

R package

robustbase

R Dataset

heart

1579. Waterflow Measurements of Kootenay River in Libby and Newgate

name

rdataset-robustbase-kootenay

reference

rdataset-robustbase-kootenay’s home link.

R package

robustbase

R Dataset

kootenay

1580. Lactic Acid Concentration Measurement Data

name

rdataset-robustbase-lactic

reference

rdataset-robustbase-lactic’s home link.

R package

robustbase

R Dataset

lactic

1581. Length of Stay Data

name

rdataset-robustbase-los

reference

rdataset-robustbase-los’s home link.

R package

robustbase

R Dataset

los

1582. Daudin’s Milk Composition Data

name

rdataset-robustbase-milk

reference

rdataset-robustbase-milk’s home link.

R package

robustbase

R Dataset

milk

1583. NOx Air Pollution Data

name

rdataset-robustbase-noxemissions

reference

rdataset-robustbase-noxemissions’s home link.

R package

robustbase

R Dataset

noxemissions

1584. Pension Funds Data

name

rdataset-robustbase-pension

reference

rdataset-robustbase-pension’s home link.

R package

robustbase

R Dataset

pension

1585. Phosphorus Content Data

name

rdataset-robustbase-phosphor

reference

rdataset-robustbase-phosphor’s home link.

R package

robustbase

R Dataset

phosphor

1586. Pilot-Plant Data

name

rdataset-robustbase-pilot

reference

rdataset-robustbase-pilot’s home link.

R package

robustbase

R Dataset

pilot

1587. Possum Diversity Data

name

rdataset-robustbase-possum.mat (possumdiv)

reference

rdataset-robustbase-possum.mat (possumdiv)’s home link.

R package

robustbase

R Dataset

possum.mat (possumdiv)

1588. Possum Diversity Data

name

rdataset-robustbase-possumdiv

reference

rdataset-robustbase-possumdiv’s home link.

R package

robustbase

R Dataset

possumdiv

1589. Pulp Fiber and Paper Data

name

rdataset-robustbase-pulpfiber

reference

rdataset-robustbase-pulpfiber’s home link.

R package

robustbase

R Dataset

pulpfiber

1590. Satellite Radar Image Data from near Munich

name

rdataset-robustbase-radarimage

reference

rdataset-robustbase-radarimage’s home link.

R package

robustbase

R Dataset

radarimage

1591. Salinity Data

name

rdataset-robustbase-salinity

reference

rdataset-robustbase-salinity’s home link.

R package

robustbase

R Dataset

salinity

1592. Siegel’s Exact Fit Example Data

name

rdataset-robustbase-siegelsex

reference

rdataset-robustbase-siegelsex’s home link.

R package

robustbase

R Dataset

siegelsex

1593. Hertzsprung-Russell Diagram Data of Star Cluster CYG OB1

name

rdataset-robustbase-starscyg

reference

rdataset-robustbase-starscyg’s home link.

R package

robustbase

R Dataset

starscyg

1594. Steam Usage Data (Excerpt)

name

rdataset-robustbase-steamuse

reference

rdataset-robustbase-steamuse’s home link.

R package

robustbase

R Dataset

steamuse

1595. Number of International Calls from Belgium

name

rdataset-robustbase-telef

reference

rdataset-robustbase-telef’s home link.

R package

robustbase

R Dataset

telef

1596. Toxicity of Carboxylic Acids Data

name

rdataset-robustbase-toxicity

reference

rdataset-robustbase-toxicity’s home link.

R package

robustbase

R Dataset

toxicity

1597. Vaso Constriction Skin Data Set

name

rdataset-robustbase-vaso

reference

rdataset-robustbase-vaso’s home link.

R package

robustbase

R Dataset

vaso

1598. Wagner’s Hannover Employment Growth Data

name

rdataset-robustbase-wagnergrowth

reference

rdataset-robustbase-wagnergrowth’s home link.

R package

robustbase

R Dataset

wagnergrowth

1599. Modified Data on Wood Specific Gravity

name

rdataset-robustbase-wood

reference

rdataset-robustbase-wood’s home link.

R package

robustbase

R Dataset

wood

1600. Extreme Data examples

name

rdataset-robustbase-x30o50

reference

rdataset-robustbase-x30o50’s home link.

R package

robustbase

R Dataset

x30o50

1601. Automobile Data from ‘Consumer Reports’ 1990

name

rdataset-rpart-car.test.frame

reference

rdataset-rpart-car.test.frame’s home link.

R package

rpart

R Dataset

car.test.frame

1602. Automobile Data from ‘Consumer Reports’ 1990

name

rdataset-rpart-car90

reference

rdataset-rpart-car90’s home link.

R package

rpart

R Dataset

car90

1603. Automobile Data from ‘Consumer Reports’ 1990

name

rdataset-rpart-cu.summary

reference

rdataset-rpart-cu.summary’s home link.

R package

rpart

R Dataset

cu.summary

1604. Data on Children who have had Corrective Spinal Surgery

name

rdataset-rpart-kyphosis

reference

rdataset-rpart-kyphosis’s home link.

R package

rpart

R Dataset

kyphosis

1605. Soldering of Components on Printed-Circuit Boards

name

rdataset-rpart-solder

reference

rdataset-rpart-solder’s home link.

R package

rpart

R Dataset

solder

1606. Soldering of Components on Printed-Circuit Boards

name

rdataset-rpart-solder.balance (solder)

reference

rdataset-rpart-solder.balance (solder)’s home link.

R package

rpart

R Dataset

solder.balance (solder)

1607. Stage C Prostate Cancer

name

rdataset-rpart-stagec

reference

rdataset-rpart-stagec’s home link.

R package

rpart

R Dataset

stagec

1608. U.S. Women’s Labor Force Participation

name

rdataset-sampleselection-mroz87

reference

rdataset-sampleselection-mroz87’s home link.

R package

sampleselection

R Dataset

mroz87

1609. National Longitudinal Survey of Young Working Women

name

rdataset-sampleselection-nlswork

reference

rdataset-sampleselection-nlswork’s home link.

R package

sampleselection

R Dataset

nlswork

1610. RAND Health Insurance Experiment

name

rdataset-sampleselection-randhie

reference

rdataset-sampleselection-randhie’s home link.

R package

sampleselection

R Dataset

randhie

1611. Survey Responses on Smoking Behaviour

name

rdataset-sampleselection-smoke

reference

rdataset-sampleselection-smoke’s home link.

R package

sampleselection

R Dataset

smoke

1612. Innovation and Institutional Ownership

name

rdataset-sandwich-instinnovation

reference

rdataset-sandwich-instinnovation’s home link.

R package

sandwich

R Dataset

instinnovation

1613. US Investment Data

name

rdataset-sandwich-investment

reference

rdataset-sandwich-investment’s home link.

R package

sandwich

R Dataset

investment

1614. Petersen’s Simulated Data for Assessing Clustered Standard Errors

name

rdataset-sandwich-petersencl

reference

rdataset-sandwich-petersencl’s home link.

R package

sandwich

R Dataset

petersencl

1615. US Expenditures for Public Schools

name

rdataset-sandwich-publicschools

reference

rdataset-sandwich-publicschools’s home link.

R package

sandwich

R Dataset

publicschools

1616. Bollen’s Data on Industrialization and Political Democracy

name

rdataset-sem-bollen

reference

rdataset-sem-bollen’s home link.

R package

sem

R Dataset

bollen

1617. Variables from the 1997 Canadian National Election Study

name

rdataset-sem-cnes

reference

rdataset-sem-cnes’s home link.

R package

sem

R Dataset

cnes

1618. Holizinger and Swineford’s Data

name

rdataset-sem-hs.data

reference

rdataset-sem-hs.data’s home link.

R package

sem

R Dataset

hs.data

1619. Klein’s Data on the U. S. Economy

name

rdataset-sem-klein

reference

rdataset-sem-klein’s home link.

R package

sem

R Dataset

klein

1620. Partly Artificial Data on the U. S. Economy

name

rdataset-sem-kmenta

reference

rdataset-sem-kmenta’s home link.

R package

sem

R Dataset

kmenta

1621. Six Mental Tests

name

rdataset-sem-tests

reference

rdataset-sem-tests’s home link.

R package

sem

R Dataset

tests

1622. Prices of Used Honda Accords (in 2017)

name

rdataset-stat2data-accordprice

reference

rdataset-stat2data-accordprice’s home link.

R package

stat2data

R Dataset

accordprice

1623. Congressional Votes on American Health Care Act (in 2017)

name

rdataset-stat2data-ahcavote2017

reference

rdataset-stat2data-ahcavote2017’s home link.

R package

stat2data

R Dataset

ahcavote2017

1624. Ontime Records for Two Airlines at Two Airports

name

rdataset-stat2data-airlines

reference

rdataset-stat2data-airlines’s home link.

R package

stat2data

R Dataset

airlines

1625. Alfalfa Growth

name

rdataset-stat2data-alfalfa

reference

rdataset-stat2data-alfalfa’s home link.

R package

stat2data

R Dataset

alfalfa

1626. US Senate Votes on Samuel Alito for the Supreme Court

name

rdataset-stat2data-alitoconfirmation

reference

rdataset-stat2data-alitoconfirmation’s home link.

R package

stat2data

R Dataset

alitoconfirmation

1627. Amyloid-beta and Cognitive Impairment

name

rdataset-stat2data-amyloid

reference

rdataset-stat2data-amyloid’s home link.

R package

stat2data

R Dataset

amyloid

1628. Daily Price and Volume of Apple Stock

name

rdataset-stat2data-applestock

reference

rdataset-stat2data-applestock’s home link.

R package

stat2data

R Dataset

applestock

1629. Scores in an Archery Class

name

rdataset-stat2data-archerydata

reference

rdataset-stat2data-archerydata’s home link.

R package

stat2data

R Dataset

archerydata

1630. Athletic Participation, Race, and Graduation

name

rdataset-stat2data-athletegrad

reference

rdataset-stat2data-athletegrad’s home link.

R package

stat2data

R Dataset

athletegrad

1631. Reaction Times to Audio and Visual Stimuli

name

rdataset-stat2data-audiovisual

reference

rdataset-stat2data-audiovisual’s home link.

R package

stat2data

R Dataset

audiovisual

1632. Noise Levels of Filters to Reduce Automobile Pollution

name

rdataset-stat2data-autopollution

reference

rdataset-stat2data-autopollution’s home link.

R package

stat2data

R Dataset

autopollution

1633. Weights of College Student Backpacks

name

rdataset-stat2data-backpack

reference

rdataset-stat2data-backpack’s home link.

R package

stat2data

R Dataset

backpack

1634. Baseball Game Times of One Day in 2008

name

rdataset-stat2data-baseballtimes

reference

rdataset-stat2data-baseballtimes’s home link.

R package

stat2data

R Dataset

baseballtimes

1635. Baseball Game Times of One Day in 2017

name

rdataset-stat2data-baseballtimes2017

reference

rdataset-stat2data-baseballtimes2017’s home link.

R package

stat2data

R Dataset

baseballtimes2017

1636. Do Bee Stings Depend on Previous Stings?

name

rdataset-stat2data-beestings

reference

rdataset-stat2data-beestings’s home link.

R package

stat2data

R Dataset

beestings

1637. Effect of a Hormone on Bird Calcium Levels

name

rdataset-stat2data-birdcalcium

reference

rdataset-stat2data-birdcalcium’s home link.

R package

stat2data

R Dataset

birdcalcium

1638. Nest Characteristics for Different Bird Species

name

rdataset-stat2data-birdnest

reference

rdataset-stat2data-birdnest’s home link.

R package

stat2data

R Dataset

birdnest

1639. Blood Pressure, Weight, and Smoking Status

name

rdataset-stat2data-blood1

reference

rdataset-stat2data-blood1’s home link.

R package

stat2data

R Dataset

blood1

1640. Blue Jay Measurements

name

rdataset-stat2data-bluejays

reference

rdataset-stat2data-bluejays’s home link.

R package

stat2data

R Dataset

bluejays

1641. Brain pH Measurements

name

rdataset-stat2data-brainph

reference

rdataset-stat2data-brainph’s home link.

R package

stat2data

R Dataset

brainph

1642. Drew Brees Passing Statistics (2016)

name

rdataset-stat2data-breespass

reference

rdataset-stat2data-breespass’s home link.

R package

stat2data

R Dataset

breespass

1643. Attitudes Towards British Trade Unions

name

rdataset-stat2data-britishunions

reference

rdataset-stat2data-britishunions’s home link.

R package

stat2data

R Dataset

britishunions

1644. Butterfly (Boloria chariclea) Measurements

name

rdataset-stat2data-butterfliesbc

reference

rdataset-stat2data-butterfliesbc’s home link.

R package

stat2data

R Dataset

butterfliesbc

1645. US Senate Votes on Corporate Average Fuel Economy Bill

name

rdataset-stat2data-cafe

reference

rdataset-stat2data-cafe’s home link.

R package

stat2data

R Dataset

cafe

1646. Do Calcium Supplements Lower Blood Pressure?

name

rdataset-stat2data-calciumbp

reference

rdataset-stat2data-calciumbp’s home link.

R package

stat2data

R Dataset

calciumbp

1647. Canadian Drugs Senate Vote

name

rdataset-stat2data-canadiandrugs

reference

rdataset-stat2data-canadiandrugs’s home link.

R package

stat2data

R Dataset

canadiandrugs

1648. Survival Times for Different Cancers

name

rdataset-stat2data-cancersurvival

reference

rdataset-stat2data-cancersurvival’s home link.

R package

stat2data

R Dataset

cancersurvival

1649. Measurements of Manduca Sexta Caterpillars

name

rdataset-stat2data-caterpillars

reference

rdataset-stat2data-caterpillars’s home link.

R package

stat2data

R Dataset

caterpillars

1650. Cleveland Cavalier’s Shooting (2016-2017)

name

rdataset-stat2data-cavsshooting

reference

rdataset-stat2data-cavsshooting’s home link.

R package

stat2data

R Dataset

cavsshooting

1651. Nutrition Content of Breakfast Cereals

name

rdataset-stat2data-cereal

reference

rdataset-stat2data-cereal’s home link.

R package

stat2data

R Dataset

cereal

1652. THC for Antinausea Treatment in Chemotherapy

name

rdataset-stat2data-chemothc

reference

rdataset-stat2data-chemothc’s home link.

R package

stat2data

R Dataset

chemothc

1653. Age at First Speaking

name

rdataset-stat2data-childspeaks

reference

rdataset-stat2data-childspeaks’s home link.

R package

stat2data

R Dataset

childspeaks

1654. Clinton/Sanders Primary Results (2016)

name

rdataset-stat2data-clintonsanders

reference

rdataset-stat2data-clintonsanders’s home link.

R package

stat2data

R Dataset

clintonsanders

1655. Sales for a Clothing Retailer

name

rdataset-stat2data-clothing

reference

rdataset-stat2data-clothing’s home link.

R package

stat2data

R Dataset

clothing

1656. Cloud Seeding Experiment (Winter Only)

name

rdataset-stat2data-cloudseeding

reference

rdataset-stat2data-cloudseeding’s home link.

R package

stat2data

R Dataset

cloudseeding

1657. Cloud Seeding Experiment (Four Seasons)

name

rdataset-stat2data-cloudseeding2

reference

rdataset-stat2data-cloudseeding2’s home link.

R package

stat2data

R Dataset

cloudseeding2

1658. Daily CO2 Measurements in Germany

name

rdataset-stat2data-co2

reference

rdataset-stat2data-co2’s home link.

R package

stat2data

R Dataset

co2

1659. Daily CO2 Measurements in Germany

name

rdataset-stat2data-co2germany

reference

rdataset-stat2data-co2germany’s home link.

R package

stat2data

R Dataset

co2germany

1660. CO2 Readings in Hawaii

name

rdataset-stat2data-co2hawaii

reference

rdataset-stat2data-co2hawaii’s home link.

R package

stat2data

R Dataset

co2hawaii

1661. CO2 Readings at the South Pole

name

rdataset-stat2data-co2southpole

reference

rdataset-stat2data-co2southpole’s home link.

R package

stat2data

R Dataset

co2southpole

1662. Drug Interaction with Contraceptives

name

rdataset-stat2data-contraceptives

reference

rdataset-stat2data-contraceptives’s home link.

R package

stat2data

R Dataset

contraceptives

1663. County Health Resources

name

rdataset-stat2data-countyhealth

reference

rdataset-stat2data-countyhealth’s home link.

R package

stat2data

R Dataset

countyhealth

1664. Crab Oxygen Intake

name

rdataset-stat2data-crabship

reference

rdataset-stat2data-crabship’s home link.

R package

stat2data

R Dataset

crabship

1665. Effects of Cracker Fiber on Digested Calories

name

rdataset-stat2data-crackerfiber

reference

rdataset-stat2data-crackerfiber’s home link.

R package

stat2data

R Dataset

crackerfiber

1666. Overdrawn Checking Account?

name

rdataset-stat2data-creditrisk

reference

rdataset-stat2data-creditrisk’s home link.

R package

stat2data

R Dataset

creditrisk

1667. Measurements of Cuckoo Eggs

name

rdataset-stat2data-cuckoo

reference

rdataset-stat2data-cuckoo’s home link.

R package

stat2data

R Dataset

cuckoo

1668. First Day Survey of Statistics Students

name

rdataset-stat2data-day1survey

reference

rdataset-stat2data-day1survey’s home link.

R package

stat2data

R Dataset

day1survey

1669. Lactic Acid Turnover in Dogs

name

rdataset-stat2data-diabeticdogs

reference

rdataset-stat2data-diabeticdogs’s home link.

R package

stat2data

R Dataset

diabeticdogs

1670. Characteristics of a Sample of Diamonds

name

rdataset-stat2data-diamonds

reference

rdataset-stat2data-diamonds’s home link.

R package

stat2data

R Dataset

diamonds

1671. Characteristics of a Subset of the Diamond Sample

name

rdataset-stat2data-diamonds2

reference

rdataset-stat2data-diamonds2’s home link.

R package

stat2data

R Dataset

diamonds2

1672. Iridium Levels in Rock Layers to Investigate Dinosaur Extinction

name

rdataset-stat2data-dinosaurs

reference

rdataset-stat2data-dinosaurs’s home link.

R package

stat2data

R Dataset

dinosaurs

1673. 2008 U.S. Presidential Election

name

rdataset-stat2data-election08

reference

rdataset-stat2data-election08’s home link.

R package

stat2data

R Dataset

election08

1674. 2016 U.S. Presidential Election

name

rdataset-stat2data-election16

reference

rdataset-stat2data-election16’s home link.

R package

stat2data

R Dataset

election16

1675. Measurements of Male African Elephants

name

rdataset-stat2data-elephantsfb

reference

rdataset-stat2data-elephantsfb’s home link.

R package

stat2data

R Dataset

elephantsfb

1676. Measurements of African Elephants

name

rdataset-stat2data-elephantsmf

reference

rdataset-stat2data-elephantsmf’s home link.

R package

stat2data

R Dataset

elephantsmf

1677. Effects of Oxygen on Sugar Metabolism

name

rdataset-stat2data-ethanol

reference

rdataset-stat2data-ethanol’s home link.

R package

stat2data

R Dataset

ethanol

1678. Pupil Dilation and Sexual Orientation

name

rdataset-stat2data-eyes

reference

rdataset-stat2data-eyes’s home link.

R package

stat2data

R Dataset

eyes

1679. Facial Attractiveness of Men

name

rdataset-stat2data-faces

reference

rdataset-stat2data-faces’s home link.

R package

stat2data

R Dataset

faces

1680. Faithfulness from a Photo?

name

rdataset-stat2data-faithfulfaces

reference

rdataset-stat2data-faithfulfaces’s home link.

R package

stat2data

R Dataset

faithfulfaces

1681. Selection Times in a Fantasy Baseball Draft

name

rdataset-stat2data-fantasybaseball

reference

rdataset-stat2data-fantasybaseball’s home link.

R package

stat2data

R Dataset

fantasybaseball

1682. Diet and Weight of Rats

name

rdataset-stat2data-fatrats

reference

rdataset-stat2data-fatrats’s home link.

R package

stat2data

R Dataset

fatrats

1683. Fertility Data for Women Having Trouble Getting Pregnant

name

rdataset-stat2data-fertility

reference

rdataset-stat2data-fertility’s home link.

R package

stat2data

R Dataset

fertility

1684. Results of NFL Field Goal Attempts

name

rdataset-stat2data-fgbydistance

reference

rdataset-stat2data-fgbydistance’s home link.

R package

stat2data

R Dataset

fgbydistance

1685. Film Data from Leonard Maltin’s Guide

name

rdataset-stat2data-film

reference

rdataset-stat2data-film’s home link.

R package

stat2data

R Dataset

film

1686. NCAA Final Four by Seed and Tom Izzo (through 2010)

name

rdataset-stat2data-finalfourizzo

reference

rdataset-stat2data-finalfourizzo’s home link.

R package

stat2data

R Dataset

finalfourizzo

1687. NCAA Final Four by Seed and Tom Izzo (through 2017)

name

rdataset-stat2data-finalfourizzo17

reference

rdataset-stat2data-finalfourizzo17’s home link.

R package

stat2data

R Dataset

finalfourizzo17

1688. NCAA Final Four by Seed (Long Version through 2010)

name

rdataset-stat2data-finalfourlong

reference

rdataset-stat2data-finalfourlong’s home link.

R package

stat2data

R Dataset

finalfourlong

1689. NCAA Final Four by Seed (Long Version through 2017)

name

rdataset-stat2data-finalfourlong17

reference

rdataset-stat2data-finalfourlong17’s home link.

R package

stat2data

R Dataset

finalfourlong17

1690. CAA Final Four by Seed (Short Version through 2010)

name

rdataset-stat2data-finalfourshort

reference

rdataset-stat2data-finalfourshort’s home link.

R package

stat2data

R Dataset

finalfourshort

1691. NCAA Final Four by Seed (Short Version through 2017)

name

rdataset-stat2data-finalfourshort17

reference

rdataset-stat2data-finalfourshort17’s home link.

R package

stat2data

R Dataset

finalfourshort17

1692. Finger Tap Rates

name

rdataset-stat2data-fingers

reference

rdataset-stat2data-fingers’s home link.

R package

stat2data

R Dataset

fingers

1693. First Year GPA for College Students

name

rdataset-stat2data-firstyeargpa

reference

rdataset-stat2data-firstyeargpa’s home link.

R package

stat2data

R Dataset

firstyeargpa

1694. Fertility of Fish Eggs

name

rdataset-stat2data-fisheggs

reference

rdataset-stat2data-fisheggs’s home link.

R package

stat2data

R Dataset

fisheggs

1695. Body Measurements of Mammal Species

name

rdataset-stat2data-fitch

reference

rdataset-stat2data-fitch’s home link.

R package

stat2data

R Dataset

fitch

1696. Response of Migratory Geese to Helicopter Overflights

name

rdataset-stat2data-flightresponse

reference

rdataset-stat2data-flightresponse’s home link.

R package

stat2data

R Dataset

flightresponse

1697. Florida Death Penalty Cases

name

rdataset-stat2data-floridadp

reference

rdataset-stat2data-floridadp’s home link.

R package

stat2data

R Dataset

floridadp

1698. Measuring Calcium Binding to Proteins

name

rdataset-stat2data-fluorescence

reference

rdataset-stat2data-fluorescence’s home link.

R package

stat2data

R Dataset

fluorescence

1699. Finger Tap Rates

name

rdataset-stat2data-franticfingers

reference

rdataset-stat2data-franticfingers’s home link.

R package

stat2data

R Dataset

franticfingers

1700. Fruit Fly Sexual Activity and Longevity

name

rdataset-stat2data-fruitflies

reference

rdataset-stat2data-fruitflies’s home link.

R package

stat2data

R Dataset

fruitflies

1701. Fruit Fly Sexual Activity and Male Competition

name

rdataset-stat2data-fruitflies2

reference

rdataset-stat2data-fruitflies2’s home link.

R package

stat2data

R Dataset

fruitflies2

1702. Funnel Drop Times

name

rdataset-stat2data-funneldrop

reference

rdataset-stat2data-funneldrop’s home link.

R package

stat2data

R Dataset

funneldrop

1703. Female Glow-worms

name

rdataset-stat2data-glowworms

reference

rdataset-stat2data-glowworms’s home link.

R package

stat2data

R Dataset

glowworms

1704. Goldenrod Galls

name

rdataset-stat2data-goldenrod

reference

rdataset-stat2data-goldenrod’s home link.

R package

stat2data

R Dataset

goldenrod

1705. House Sales in Grinnell, Iowa

name

rdataset-stat2data-grinnellhouses

reference

rdataset-stat2data-grinnellhouses’s home link.

R package

stat2data

R Dataset

grinnellhouses

1706. Grocery Sales and Discounts

name

rdataset-stat2data-grocery

reference

rdataset-stat2data-grocery’s home link.

R package

stat2data

R Dataset

grocery

1707. Are Gunnels Present at Shoreline?

name

rdataset-stat2data-gunnels

reference

rdataset-stat2data-gunnels’s home link.

R package

stat2data

R Dataset

gunnels

1708. Guess Author’s Sex from Handwriting?

name

rdataset-stat2data-handwriting

reference

rdataset-stat2data-handwriting’s home link.

R package

stat2data

R Dataset

handwriting

1709. Measurements on Three Hawk Species

name

rdataset-stat2data-hawks

reference

rdataset-stat2data-hawks’s home link.

R package

stat2data

R Dataset

hawks

1710. Tail Lengths of Hawks

name

rdataset-stat2data-hawktail

reference

rdataset-stat2data-hawktail’s home link.

R package

stat2data

R Dataset

hawktail

1711. Tail Lengths of Hawks (Unstacked)

name

rdataset-stat2data-hawktail2

reference

rdataset-stat2data-hawktail2’s home link.

R package

stat2data

R Dataset

hawktail2

1712. Correctly Identified Words in a Hearing Test

name

rdataset-stat2data-hearingtest

reference

rdataset-stat2data-hearingtest’s home link.

R package

stat2data

R Dataset

hearingtest

1713. Heating Oil Consumption

name

rdataset-stat2data-heatingoil

reference

rdataset-stat2data-heatingoil’s home link.

R package

stat2data

R Dataset

heatingoil

1714. Characteristics of Adirondack Hiking Trails

name

rdataset-stat2data-highpeaks

reference

rdataset-stat2data-highpeaks’s home link.

R package

stat2data

R Dataset

highpeaks

1715. Grinnell College Basketball Games

name

rdataset-stat2data-hoops

reference

rdataset-stat2data-hoops’s home link.

R package

stat2data

R Dataset

hoops

1716. Prices of Horses

name

rdataset-stat2data-horseprices

reference

rdataset-stat2data-horseprices’s home link.

R package

stat2data

R Dataset

horseprices

1717. House Prices, Sizes, and Lot Areas

name

rdataset-stat2data-houses

reference

rdataset-stat2data-houses’s home link.

R package

stat2data

R Dataset

houses

1718. House Prices in Rural NY

name

rdataset-stat2data-housesny

reference

rdataset-stat2data-housesny’s home link.

R package

stat2data

R Dataset

housesny

1719. Intensive Care Unit Patients

name

rdataset-stat2data-icu

reference

rdataset-stat2data-icu’s home link.

R package

stat2data

R Dataset

icu

1720. Infant Mortality Rates

name

rdataset-stat2data-infantmortality2010

reference

rdataset-stat2data-infantmortality2010’s home link.

R package

stat2data

R Dataset

infantmortality2010

1721. Monthly Consumer Price Index (2009-2016)

name

rdataset-stat2data-inflation

reference

rdataset-stat2data-inflation’s home link.

R package

stat2data

R Dataset

inflation

1722. Congressional Votes on a Health Insurance Bill

name

rdataset-stat2data-insurancevote

reference

rdataset-stat2data-insurancevote’s home link.

R package

stat2data

R Dataset

insurancevote

1723. Guess IQ from a Photo?

name

rdataset-stat2data-iqguessing

reference

rdataset-stat2data-iqguessing’s home link.

R package

stat2data

R Dataset

iqguessing

1724. Reporting Rates for Jurors

name

rdataset-stat2data-jurors

reference

rdataset-stat2data-jurors’s home link.

R package

stat2data

R Dataset

jurors

1725. Kershaw Pitch Data

name

rdataset-stat2data-kershaw

reference

rdataset-stat2data-kershaw’s home link.

R package

stat2data

R Dataset

kershaw

1726. Key West Water Temperatures

name

rdataset-stat2data-keywestwater

reference

rdataset-stat2data-keywestwater’s home link.

R package

stat2data

R Dataset

keywestwater

1727. Body Measurements of Children

name

rdataset-stat2data-kids198

reference

rdataset-stat2data-kids198’s home link.

R package

stat2data

R Dataset

kids198

1728. Leafhopper Diet and Longevity

name

rdataset-stat2data-leafhoppers

reference

rdataset-stat2data-leafhoppers’s home link.

R package

stat2data

R Dataset

leafhoppers

1729. Leaf Measurements

name

rdataset-stat2data-leafwidth

reference

rdataset-stat2data-leafwidth’s home link.

R package

stat2data

R Dataset

leafwidth

1730. Responses to Treatment for Leukemia

name

rdataset-stat2data-leukemia

reference

rdataset-stat2data-leukemia’s home link.

R package

stat2data

R Dataset

leukemia

1731. Levee Failures along the Mississippi River

name

rdataset-stat2data-leveefailures

reference

rdataset-stat2data-leveefailures’s home link.

R package

stat2data

R Dataset

leveefailures

1732. Lewy Bodies and Dimentia

name

rdataset-stat2data-lewybody2groups

reference

rdataset-stat2data-lewybody2groups’s home link.

R package

stat2data

R Dataset

lewybody2groups

1733. Lewy Bodies and Dimentia with Alzheimer’s

name

rdataset-stat2data-lewydlbad

reference

rdataset-stat2data-lewydlbad’s home link.

R package

stat2data

R Dataset

lewydlbad

1734. Olympic Men’s Long Jump Gold Medal Distance (1900 - 2008)

name

rdataset-stat2data-longjumpolympics

reference

rdataset-stat2data-longjumpolympics’s home link.

R package

stat2data

R Dataset

longjumpolympics

1735. Olympic Men’s Long Jump Gold Medal Distance (1900 - 2016)

name

rdataset-stat2data-longjumpolympics2016

reference

rdataset-stat2data-longjumpolympics2016’s home link.

R package

stat2data

R Dataset

longjumpolympics2016

1736. Sleep Hours for Teenagers

name

rdataset-stat2data-losingsleep

reference

rdataset-stat2data-losingsleep’s home link.

R package

stat2data

R Dataset

losingsleep

1737. Return Rates for “Lost” Letters

name

rdataset-stat2data-lostletter

reference

rdataset-stat2data-lostletter’s home link.

R package

stat2data

R Dataset

lostletter

1738. Daily Training for a Marathon Runner

name

rdataset-stat2data-marathon

reference

rdataset-stat2data-marathon’s home link.

R package

stat2data

R Dataset

marathon

1739. Daily Change in Dow Jones and Nikkei Stock Market Indices

name

rdataset-stat2data-markets

reference

rdataset-stat2data-markets’s home link.

R package

stat2data

R Dataset

markets

1740. Enrollments in Math Courses

name

rdataset-stat2data-mathenrollment

reference

rdataset-stat2data-mathenrollment’s home link.

R package

stat2data

R Dataset

mathenrollment

1741. Math Placement Exam Results

name

rdataset-stat2data-mathplacement

reference

rdataset-stat2data-mathplacement’s home link.

R package

stat2data

R Dataset

mathplacement

1742. GPA and Medical School Admission

name

rdataset-stat2data-medgpa

reference

rdataset-stat2data-medgpa’s home link.

R package

stat2data

R Dataset

medgpa

1743. Meniscus Repair Methods

name

rdataset-stat2data-meniscus

reference

rdataset-stat2data-meniscus’s home link.

R package

stat2data

R Dataset

meniscus

1744. Mental Health Admissions

name

rdataset-stat2data-mentalhealth

reference

rdataset-stat2data-mentalhealth’s home link.

R package

stat2data

R Dataset

mentalhealth

1745. Metabolic Rate of Caterpillars

name

rdataset-stat2data-metabolicrate

reference

rdataset-stat2data-metabolicrate’s home link.

R package

stat2data

R Dataset

metabolicrate

1746. Commute Times

name

rdataset-stat2data-metrocommutes

reference

rdataset-stat2data-metrocommutes’s home link.

R package

stat2data

R Dataset

metrocommutes

1747. Health Services in Metropolitan Areas

name

rdataset-stat2data-metrohealth83

reference

rdataset-stat2data-metrohealth83’s home link.

R package

stat2data

R Dataset

metrohealth83

1748. Migraines and TMS

name

rdataset-stat2data-migraines

reference

rdataset-stat2data-migraines’s home link.

R package

stat2data

R Dataset

migraines

1749. Ethics and a Milgram Experiment

name

rdataset-stat2data-milgram

reference

rdataset-stat2data-milgram’s home link.

R package

stat2data

R Dataset

milgram

1750. Standings and Team Statistics from the 2007 Baseball Season

name

rdataset-stat2data-mlb2007standings

reference

rdataset-stat2data-mlb2007standings’s home link.

R package

stat2data

R Dataset

mlb2007standings

1751. MLB Standings in 2016

name

rdataset-stat2data-mlbstandings2016

reference

rdataset-stat2data-mlbstandings2016’s home link.

R package

stat2data

R Dataset

mlbstandings2016

1752. Moth Eggs

name

rdataset-stat2data-motheggs

reference

rdataset-stat2data-motheggs’s home link.

R package

stat2data

R Dataset

motheggs

1753. Effects of Serotonin in Mice

name

rdataset-stat2data-mousebrain

reference

rdataset-stat2data-mousebrain’s home link.

R package

stat2data

R Dataset

mousebrain

1754. Estimating Time with Different Music Playing

name

rdataset-stat2data-musictime

reference

rdataset-stat2data-musictime’s home link.

R package

stat2data

R Dataset

musictime

1755. North Carolina Birth Records

name

rdataset-stat2data-ncbirths

reference

rdataset-stat2data-ncbirths’s home link.

R package

stat2data

R Dataset

ncbirths

1756. NFL Standings for 2007 Regular Season

name

rdataset-stat2data-nfl2007standings

reference

rdataset-stat2data-nfl2007standings’s home link.

R package

stat2data

R Dataset

nfl2007standings

1757. NFL Standings for 2016 Regular Season

name

rdataset-stat2data-nflstandings2016

reference

rdataset-stat2data-nflstandings2016’s home link.

R package

stat2data

R Dataset

nflstandings2016

1758. Nursing Homes

name

rdataset-stat2data-nursing

reference

rdataset-stat2data-nursing’s home link.

R package

stat2data

R Dataset

nursing

1759. Effect of Ultrasound on Oil Deapsorbtion

name

rdataset-stat2data-oildeapsorbtion

reference

rdataset-stat2data-oildeapsorbtion’s home link.

R package

stat2data

R Dataset

oildeapsorbtion

1760. Fenthion in Olive Oil

name

rdataset-stat2data-olives

reference

rdataset-stat2data-olives’s home link.

R package

stat2data

R Dataset

olives

1761. Space Shuttle O-Rings

name

rdataset-stat2data-orings

reference

rdataset-stat2data-orings’s home link.

R package

stat2data

R Dataset

orings

1762. Overdrawn Checking Account?

name

rdataset-stat2data-overdrawn

reference

rdataset-stat2data-overdrawn’s home link.

R package

stat2data

R Dataset

overdrawn

1763. Size of Oysters

name

rdataset-stat2data-oysters

reference

rdataset-stat2data-oysters’s home link.

R package

stat2data

R Dataset

oysters

1764. Palm Beach Butterfly Ballot

name

rdataset-stat2data-palmbeach

reference

rdataset-stat2data-palmbeach’s home link.

R package

stat2data

R Dataset

palmbeach

1765. Monthly Peace Bridge Traffic ( 2003-2015)

name

rdataset-stat2data-peacebridge2003

reference

rdataset-stat2data-peacebridge2003’s home link.

R package

stat2data

R Dataset

peacebridge2003

1766. Monthly Peace Bridge Traffic ( 2012-2015)

name

rdataset-stat2data-peacebridge2012

reference

rdataset-stat2data-peacebridge2012’s home link.

R package

stat2data

R Dataset

peacebridge2012

1767. Pedometer Walking Data

name

rdataset-stat2data-pedometer

reference

rdataset-stat2data-pedometer’s home link.

R package

stat2data

R Dataset

pedometer

1768. Perch Sizes

name

rdataset-stat2data-perch

reference

rdataset-stat2data-perch’s home link.

R package

stat2data

R Dataset

perch

1769. Additives in Pig Feed

name

rdataset-stat2data-pigfeed

reference

rdataset-stat2data-pigfeed’s home link.

R package

stat2data

R Dataset

pigfeed

1770. Measurements of Pine Tree Seedlings

name

rdataset-stat2data-pines

reference

rdataset-stat2data-pines’s home link.

R package

stat2data

R Dataset

pines

1771. Dopamine levels with PKU in diets

name

rdataset-stat2data-pku

reference

rdataset-stat2data-pku’s home link.

R package

stat2data

R Dataset

pku

1772. Political Behavior of College Students

name

rdataset-stat2data-political

reference

rdataset-stat2data-political’s home link.

R package

stat2data

R Dataset

political

1773. 2008 U.S. Presidential Election Polls

name

rdataset-stat2data-pollster08

reference

rdataset-stat2data-pollster08’s home link.

R package

stat2data

R Dataset

pollster08

1774. Popcorn Popping Success

name

rdataset-stat2data-popcorn

reference

rdataset-stat2data-popcorn’s home link.

R package

stat2data

R Dataset

popcorn

1775. Porsche and Jaguar Prices

name

rdataset-stat2data-porschejaguar

reference

rdataset-stat2data-porschejaguar’s home link.

R package

stat2data

R Dataset

porschejaguar

1776. Porsche Prices

name

rdataset-stat2data-porscheprice

reference

rdataset-stat2data-porscheprice’s home link.

R package

stat2data

R Dataset

porscheprice

1777. Pulse Rates and Exercise

name

rdataset-stat2data-pulse

reference

rdataset-stat2data-pulse’s home link.

R package

stat2data

R Dataset

pulse

1778. Putting Success by Length (Long Form)

name

rdataset-stat2data-putts1

reference

rdataset-stat2data-putts1’s home link.

R package

stat2data

R Dataset

putts1

1779. Putting Success by Length (Short Form)

name

rdataset-stat2data-putts2

reference

rdataset-stat2data-putts2’s home link.

R package

stat2data

R Dataset

putts2

1780. Hypothetical Putting Data (Short Form)

name

rdataset-stat2data-putts3

reference

rdataset-stat2data-putts3’s home link.

R package

stat2data

R Dataset

putts3

1781. Racial Animus and City Demgraphics

name

rdataset-stat2data-racialanimus

reference

rdataset-stat2data-racialanimus’s home link.

R package

stat2data

R Dataset

racialanimus

1782. Comparing Twins Ability to Clear Radioactive Particles

name

rdataset-stat2data-radioactivetwins

reference

rdataset-stat2data-radioactivetwins’s home link.

R package

stat2data

R Dataset

radioactivetwins

1783. Homes in Northampton MA Near Rail Trails

name

rdataset-stat2data-railstrails

reference

rdataset-stat2data-railstrails’s home link.

R package

stat2data

R Dataset

railstrails

1784. Measurements of Rectangles

name

rdataset-stat2data-rectangles

reference

rdataset-stat2data-rectangles’s home link.

R package

stat2data

R Dataset

rectangles

1785. Religion and GDP for Countries

name

rdataset-stat2data-religiongdp

reference

rdataset-stat2data-religiongdp’s home link.

R package

stat2data

R Dataset

religiongdp

1786. Pulse Rates at Various Times of Day

name

rdataset-stat2data-repeatedpulse

reference

rdataset-stat2data-repeatedpulse’s home link.

R package

stat2data

R Dataset

repeatedpulse

1787. US Residual Oil Production (Quarterly 1983-2016)

name

rdataset-stat2data-residualoil

reference

rdataset-stat2data-residualoil’s home link.

R package

stat2data

R Dataset

residualoil

1788. Yearly Contributions to a Supplemental Retirement Account

name

rdataset-stat2data-retirement

reference

rdataset-stat2data-retirement’s home link.

R package

stat2data

R Dataset

retirement

1789. Firefighter Promotion Exam Scores

name

rdataset-stat2data-ricci

reference

rdataset-stat2data-ricci’s home link.

R package

stat2data

R Dataset

ricci

1790. Elements in River Water Samples

name

rdataset-stat2data-riverelements

reference

rdataset-stat2data-riverelements’s home link.

R package

stat2data

R Dataset

riverelements

1791. Iron in River Water Samples

name

rdataset-stat2data-riveriron

reference

rdataset-stat2data-riveriron’s home link.

R package

stat2data

R Dataset

riveriron

1792. Field Goal Attempts in the NFL

name

rdataset-stat2data-samplefg

reference

rdataset-stat2data-samplefg’s home link.

R package

stat2data

R Dataset

samplefg

1793. Ants on Sandwiches

name

rdataset-stat2data-sandwichants

reference

rdataset-stat2data-sandwichants’s home link.

R package

stat2data

R Dataset

sandwichants

1794. SAT Scores and GPA

name

rdataset-stat2data-satgpa

reference

rdataset-stat2data-satgpa’s home link.

R package

stat2data

R Dataset

satgpa

1795. Arctic Sea Ice (1979-2015)

name

rdataset-stat2data-seaice

reference

rdataset-stat2data-seaice’s home link.

R package

stat2data

R Dataset

seaice

1796. Sea Slug Larvae

name

rdataset-stat2data-seaslugs

reference

rdataset-stat2data-seaslugs’s home link.

R package

stat2data

R Dataset

seaslugs

1797. Shrew Heart Rates at Stages of Sleep

name

rdataset-stat2data-sleepingshrews

reference

rdataset-stat2data-sleepingshrews’s home link.

R package

stat2data

R Dataset

sleepingshrews

1798. Sparrow Measurements

name

rdataset-stat2data-sparrows

reference

rdataset-stat2data-sparrows’s home link.

R package

stat2data

R Dataset

sparrows

1799. Land Area and Mammal Species

name

rdataset-stat2data-speciesarea

reference

rdataset-stat2data-speciesarea’s home link.

R package

stat2data

R Dataset

speciesarea

1800. Highway Fatality Rates (Yearly)

name

rdataset-stat2data-speed

reference

rdataset-stat2data-speed’s home link.

R package

stat2data

R Dataset

speed

1801. Effects of Oxygen on Sugar Metabolism

name

rdataset-stat2data-sugarethanol

reference

rdataset-stat2data-sugarethanol’s home link.

R package

stat2data

R Dataset

sugarethanol

1802. Suicide Attempts in Shandong, China

name

rdataset-stat2data-suicidechina

reference

rdataset-stat2data-suicidechina’s home link.

R package

stat2data

R Dataset

suicidechina

1803. Attitudes Towards Swahili in Kenyan Schools

name

rdataset-stat2data-swahili

reference

rdataset-stat2data-swahili’s home link.

R package

stat2data

R Dataset

swahili

1804. Effects of a Fungus on Tadpoles

name

rdataset-stat2data-tadpoles

reference

rdataset-stat2data-tadpoles’s home link.

R package

stat2data

R Dataset

tadpoles

1805. Daily Prices of Three Tech Stocks

name

rdataset-stat2data-techstocks

reference

rdataset-stat2data-techstocks’s home link.

R package

stat2data

R Dataset

techstocks

1806. State Teen Pregnancy Rates

name

rdataset-stat2data-teenpregnancy

reference

rdataset-stat2data-teenpregnancy’s home link.

R package

stat2data

R Dataset

teenpregnancy

1807. Textbook Prices

name

rdataset-stat2data-textprices

reference

rdataset-stat2data-textprices’s home link.

R package

stat2data

R Dataset

textprices

1808. US Senate Votes on Clarence Thomas Confirmation

name

rdataset-stat2data-thomasconfirmation

reference

rdataset-stat2data-thomasconfirmation’s home link.

R package

stat2data

R Dataset

thomasconfirmation

1809. Prices of Three Used Car Models (2007)

name

rdataset-stat2data-threecars

reference

rdataset-stat2data-threecars’s home link.

R package

stat2data

R Dataset

threecars

1810. Price, Age, and Mileage of Three Used Car Models

name

rdataset-stat2data-threecars2017

reference

rdataset-stat2data-threecars2017’s home link.

R package

stat2data

R Dataset

threecars2017

1811. Improve Chances of Getting a Tip?

name

rdataset-stat2data-tipjoke

reference

rdataset-stat2data-tipjoke’s home link.

R package

stat2data

R Dataset

tipjoke

1812. Passengers on the Titanic

name

rdataset-stat2data-titanic

reference

rdataset-stat2data-titanic’s home link.

R package

stat2data

R Dataset

titanic

1813. Migraines and TMS

name

rdataset-stat2data-tms

reference

rdataset-stat2data-tms’s home link.

R package

stat2data

R Dataset

tms

1814. LaDainian Tomlinson Rushing Yards

name

rdataset-stat2data-tomlinsonrush

reference

rdataset-stat2data-tomlinsonrush’s home link.

R package

stat2data

R Dataset

tomlinsonrush

1815. Comparing Twins Ability to Clear Radioactive Particles

name

rdataset-stat2data-twinslungs

reference

rdataset-stat2data-twinslungs’s home link.

R package

stat2data

R Dataset

twinslungs

1816. Defense of Undoing OCD Symptoms in Psychotherapy

name

rdataset-stat2data-undoing

reference

rdataset-stat2data-undoing’s home link.

R package

stat2data

R Dataset

undoing

1817. Price of US Stamps

name

rdataset-stat2data-usstamps

reference

rdataset-stat2data-usstamps’s home link.

R package

stat2data

R Dataset

usstamps

1818. Visual versus Verbal Performance

name

rdataset-stat2data-visualverbal

reference

rdataset-stat2data-visualverbal’s home link.

R package

stat2data

R Dataset

visualverbal

1819. Voltage Drop for a Discharging Capacitor

name

rdataset-stat2data-volts

reference

rdataset-stat2data-volts’s home link.

R package

stat2data

R Dataset

volts

1820. Effects of Exercise on First Walking

name

rdataset-stat2data-walkingbabies

reference

rdataset-stat2data-walkingbabies’s home link.

R package

stat2data

R Dataset

walkingbabies

1821. Did the Author Walk the Dogs Today?

name

rdataset-stat2data-walkthedogs

reference

rdataset-stat2data-walkthedogs’s home link.

R package

stat2data

R Dataset

walkthedogs

1822. Do Financial Incentives Improve Weight Loss?

name

rdataset-stat2data-weightlossincentive

reference

rdataset-stat2data-weightlossincentive’s home link.

R package

stat2data

R Dataset

weightlossincentive

1823. Do Financial Incentives Improve Weight Loss? (4 Months)

name

rdataset-stat2data-weightlossincentive4

reference

rdataset-stat2data-weightlossincentive4’s home link.

R package

stat2data

R Dataset

weightlossincentive4

1824. Do Financial Incentives Improve Weight Loss? (7 Months)

name

rdataset-stat2data-weightlossincentive7

reference

rdataset-stat2data-weightlossincentive7’s home link.

R package

stat2data

R Dataset

weightlossincentive7

1825. Whickham Health Study

name

rdataset-stat2data-whickham2

reference

rdataset-stat2data-whickham2’s home link.

R package

stat2data

R Dataset

whickham2

1826. Experiment on Word Memory

name

rdataset-stat2data-wordmemory

reference

rdataset-stat2data-wordmemory’s home link.

R package

stat2data

R Dataset

wordmemory

1827. Words with Friends Scores

name

rdataset-stat2data-wordswithfriends

reference

rdataset-stat2data-wordswithfriends’s home link.

R package

stat2data

R Dataset

wordswithfriends

1828. Moving Wet Objects with Wrinkled Fingers

name

rdataset-stat2data-wrinkle

reference

rdataset-stat2data-wrinkle’s home link.

R package

stat2data

R Dataset

wrinkle

1829. Annual survey of health-risk youth behaviors

name

rdataset-stat2data-youthrisk

reference

rdataset-stat2data-youthrisk’s home link.

R package

stat2data

R Dataset

youthrisk

1830. Riding with a Driver Who Has Been Drinking

name

rdataset-stat2data-youthrisk2007

reference

rdataset-stat2data-youthrisk2007’s home link.

R package

stat2data

R Dataset

youthrisk2007

1831. Youth Risk Survey

name

rdataset-stat2data-youthrisk2009

reference

rdataset-stat2data-youthrisk2009’s home link.

R package

stat2data

R Dataset

youthrisk2009

1832. Stand Your Ground Simpson’s Paradox

name

rdataset-stat2data-zimmerman

reference

rdataset-stat2data-zimmerman’s home link.

R package

stat2data

R Dataset

zimmerman

1833. Statewide Crime Data (1993)

name

rdataset-stevedata-af_crime93

reference

rdataset-stevedata-af_crime93’s home link.

R package

stevedata

R Dataset

af_crime93

1834. LME Aluminum Premiums Data

name

rdataset-stevedata-aluminum_premiums

reference

rdataset-stevedata-aluminum_premiums’s home link.

R package

stevedata

R Dataset

aluminum_premiums

1835. Major Party (Democrat, Republican) Thermometer Index Data (1978-2012)

name

rdataset-stevedata-anes_partytherms

reference

rdataset-stevedata-anes_partytherms’s home link.

R package

stevedata

R Dataset

anes_partytherms

1836. Abortion Attitudes (ANES, 2012)

name

rdataset-stevedata-anes_prochoice

reference

rdataset-stevedata-anes_prochoice’s home link.

R package

stevedata

R Dataset

anes_prochoice

1837. Simple Data for a Simple Model of Individual Voter Turnout (ANES, 1984)

name

rdataset-stevedata-anes_vote84

reference

rdataset-stevedata-anes_vote84’s home link.

R package

stevedata

R Dataset

anes_vote84

1838. NYSE Arca Steel Index data, 2017–present

name

rdataset-stevedata-arca

reference

rdataset-stevedata-arca’s home link.

R package

stevedata

R Dataset

arca

1839. Arctic Sea Ice Extent Data, 1901-2015

name

rdataset-stevedata-arcticseaice

reference

rdataset-stevedata-arcticseaice’s home link.

R package

stevedata

R Dataset

arcticseaice

1840. Simple Mean Tariff Rate for Argentina

name

rdataset-stevedata-arg_tariff

reference

rdataset-stevedata-arg_tariff’s home link.

R package

stevedata

R Dataset

arg_tariff

1841. Aviation Safety Network Statistics, 1942-2019

name

rdataset-stevedata-asn_stats

reference

rdataset-stevedata-asn_stats’s home link.

R package

stevedata

R Dataset

asn_stats

1842. Randomization Inference in the Regression Discontinuity Design: An Application to Party Advantages in the U.S. Senate

name

rdataset-stevedata-cft15

reference

rdataset-stevedata-cft15’s home link.

R package

stevedata

R Dataset

cft15

1843. Daily Clemson Temperature Data

name

rdataset-stevedata-clemson_temps

reference

rdataset-stevedata-clemson_temps’s home link.

R package

stevedata

R Dataset

clemson_temps

1844. Carbon Dioxide Emissions Data

name

rdataset-stevedata-co2emissions

reference

rdataset-stevedata-co2emissions’s home link.

R package

stevedata

R Dataset

co2emissions

1845. Coffee Imports for Select Importing Countries

name

rdataset-stevedata-coffee_imports

reference

rdataset-stevedata-coffee_imports’s home link.

R package

stevedata

R Dataset

coffee_imports

1846. The Primary Commodity Price for Coffee (Arabica, Robustas)

name

rdataset-stevedata-coffee_price

reference

rdataset-stevedata-coffee_price’s home link.

R package

stevedata

R Dataset

coffee_price

1847. Select World Bank Commodity Price Data (Monthly)

name

rdataset-stevedata-commodity_prices

reference

rdataset-stevedata-commodity_prices’s home link.

R package

stevedata

R Dataset

commodity_prices

1848. Education Expenditure Data (Chatterjee and Price, 1977)

name

rdataset-stevedata-cp77

reference

rdataset-stevedata-cp77’s home link.

R package

stevedata

R Dataset

cp77

1849. The Datasaurus Dozen

name

rdataset-stevedata-datasaurus

reference

rdataset-stevedata-datasaurus’s home link.

R package

stevedata

R Dataset

datasaurus

1850. Are There Civics Returns to Education?

name

rdataset-stevedata-dee04

reference

rdataset-stevedata-dee04’s home link.

R package

stevedata

R Dataset

dee04

1851. Dow Jones Industrial Average, 1885-Present

name

rdataset-stevedata-djia

reference

rdataset-stevedata-djia’s home link.

R package

stevedata

R Dataset

djia

1852. Casualties/Fatalities in the U.S. for Drunk-Driving, Suicide, and Terrorism

name

rdataset-stevedata-dst

reference

rdataset-stevedata-dst’s home link.

R package

stevedata

R Dataset

dst

1853. The Effect of Special Preparation on SAT-V Scores in Eight Randomized Experiments

name

rdataset-stevedata-eight_schools

reference

rdataset-stevedata-eight_schools’s home link.

R package

stevedata

R Dataset

eight_schools

1854. State-Level Education and Voter Turnout in 2016

name

rdataset-stevedata-election_turnout

reference

rdataset-stevedata-election_turnout’s home link.

R package

stevedata

R Dataset

election_turnout

1855. Export Quality Data for Passenger Cars, 1963-2014

name

rdataset-stevedata-eq_passengercars

reference

rdataset-stevedata-eq_passengercars’s home link.

R package

stevedata

R Dataset

eq_passengercars

1856. Norwegian Attitudes toward European Integration (2021-2022)

name

rdataset-stevedata-ess10no

reference

rdataset-stevedata-ess10no’s home link.

R package

stevedata

R Dataset

ess10no

1857. British Attitudes Toward Immigration (2018-19)

name

rdataset-stevedata-ess9gb

reference

rdataset-stevedata-ess9gb’s home link.

R package

stevedata

R Dataset

ess9gb

1858. Trust in the Police in Belgium (European Social Survey, Round 5)

name

rdataset-stevedata-essbe5

reference

rdataset-stevedata-essbe5’s home link.

R package

stevedata

R Dataset

essbe5

1859. EU Member States (Current as of 2019)

name

rdataset-stevedata-eustates

reference

rdataset-stevedata-eustates’s home link.

R package

stevedata

R Dataset

eustates

1860. Hypothetical (Fake) Data on Academic Performance

name

rdataset-stevedata-fakeapi

reference

rdataset-stevedata-fakeapi’s home link.

R package

stevedata

R Dataset

fakeapi

1861. Fake Data on Happiness

name

rdataset-stevedata-fakehappiness

reference

rdataset-stevedata-fakehappiness’s home link.

R package

stevedata

R Dataset

fakehappiness

1862. Fake Data for a Logistic Regression

name

rdataset-stevedata-fakelogit

reference

rdataset-stevedata-fakelogit’s home link.

R package

stevedata

R Dataset

fakelogit

1863. Fake Data for a Time-Series Cross-Section

name

rdataset-stevedata-faketscs

reference

rdataset-stevedata-faketscs’s home link.

R package

stevedata

R Dataset

faketscs

1864. Fake Data for a Time-Series

name

rdataset-stevedata-faketsd

reference

rdataset-stevedata-faketsd’s home link.

R package

stevedata

R Dataset

faketsd

1865. Gun Homicide Rate per 100,000 People, by Country

name

rdataset-stevedata-ghp100k

reference

rdataset-stevedata-ghp100k’s home link.

R package

stevedata

R Dataset

ghp100k

1866. Abortion Opinions in the General Social Survey

name

rdataset-stevedata-gss_abortion

reference

rdataset-stevedata-gss_abortion’s home link.

R package

stevedata

R Dataset

gss_abortion

1867. Attitudes Toward National Spending in the General Social Survey (2018)

name

rdataset-stevedata-gss_spending

reference

rdataset-stevedata-gss_spending’s home link.

R package

stevedata

R Dataset

gss_spending

1868. The Gender Pay Gap in the General Social Survey

name

rdataset-stevedata-gss_wages

reference

rdataset-stevedata-gss_wages’s home link.

R package

stevedata

R Dataset

gss_wages

1869. School Expenditures and Test Scores for 50 States, 1994-95

name

rdataset-stevedata-guber99

reference

rdataset-stevedata-guber99’s home link.

R package

stevedata

R Dataset

guber99

1870. Illiteracy in the Population 10 Years Old and Over, 1930

name

rdataset-stevedata-illiteracy30

reference

rdataset-stevedata-illiteracy30’s home link.

R package

stevedata

R Dataset

illiteracy30

1871. “How Solid is Mass Support for Democracy-And How Can We Measure It?”

name

rdataset-stevedata-inglehart03

reference

rdataset-stevedata-inglehart03’s home link.

R package

stevedata

R Dataset

inglehart03

1872. Land-Ocean Temperature Index, 1880-2020

name

rdataset-stevedata-loti

reference

rdataset-stevedata-loti’s home link.

R package

stevedata

R Dataset

loti

1873. Long-Term Price Trends for Computers, TVs, and Related Items

name

rdataset-stevedata-ltpt

reference

rdataset-stevedata-ltpt’s home link.

R package

stevedata

R Dataset

ltpt

1874. “Let Them Watch TV”

name

rdataset-stevedata-ltwt

reference

rdataset-stevedata-ltwt’s home link.

R package

stevedata

R Dataset

ltwt

1875. History of Federal Minimum Wage Rates Under the Fair Labor Standards Act, 1938-2009

name

rdataset-stevedata-min_wage

reference

rdataset-stevedata-min_wage’s home link.

R package

stevedata

R Dataset

min_wage

1876. Minimum Legal Drinking Age Fatalities Data

name

rdataset-stevedata-mm_mlda

reference

rdataset-stevedata-mm_mlda’s home link.

R package

stevedata

R Dataset

mm_mlda

1877. Data from the 2009 National Health Interview Survey (NHIS)

name

rdataset-stevedata-mm_nhis

reference

rdataset-stevedata-mm_nhis’s home link.

R package

stevedata

R Dataset

mm_nhis

1878. Motor Vehicle Production by Country, 1950-2019

name

rdataset-stevedata-mvprod

reference

rdataset-stevedata-mvprod’s home link.

R package

stevedata

R Dataset

mvprod

1879. The Usual Daily Drinking Habits of Americans (NESARC, 2001-2)

name

rdataset-stevedata-nesarc_drinkspd

reference

rdataset-stevedata-nesarc_drinkspd’s home link.

R package

stevedata

R Dataset

nesarc_drinkspd

1880. Medical-Care Expenditure: A Cross-National Survey (Newhouse, 1977)

name

rdataset-stevedata-newhouse77

reference

rdataset-stevedata-newhouse77’s home link.

R package

stevedata

R Dataset

newhouse77

1881. Ozone Depleting Gas Index Data, 1992-2019

name

rdataset-stevedata-odgi

reference

rdataset-stevedata-odgi’s home link.

R package

stevedata

R Dataset

odgi

1882. Partisan Politics in the Global Economy

name

rdataset-stevedata-ppge

reference

rdataset-stevedata-ppge’s home link.

R package

stevedata

R Dataset

ppge

1883. U.S. Presidents and Their Terms in Office

name

rdataset-stevedata-presidents

reference

rdataset-stevedata-presidents’s home link.

R package

stevedata

R Dataset

presidents

1884. Penn World Table (10.0) Macroeconomic Data for Select Countries, 1950-2019

name

rdataset-stevedata-pwt_sample

reference

rdataset-stevedata-pwt_sample’s home link.

R package

stevedata

R Dataset

pwt_sample

1885. Anscombe’s (1973) Quartets

name

rdataset-stevedata-quartets

reference

rdataset-stevedata-quartets’s home link.

R package

stevedata

R Dataset

quartets

1886. United States Recessions, 1855-present

name

rdataset-stevedata-recessions

reference

rdataset-stevedata-recessions’s home link.

R package

stevedata

R Dataset

recessions

1887. Systemic Banking Crises Database II

name

rdataset-stevedata-sbcd

reference

rdataset-stevedata-sbcd’s home link.

R package

stevedata

R Dataset

sbcd

1888. South Carolina County GOP/Democratic Primary Data, 2016

name

rdataset-stevedata-scp16

reference

rdataset-stevedata-scp16’s home link.

R package

stevedata

R Dataset

scp16

1889. Global Average Absolute Sea Level Change, 1880–2015

name

rdataset-stevedata-sealevels

reference

rdataset-stevedata-sealevels’s home link.

R package

stevedata

R Dataset

sealevels

1890. Sulfur Dioxide Emissions, 1980-2020

name

rdataset-stevedata-so2concentrations

reference

rdataset-stevedata-so2concentrations’s home link.

R package

stevedata

R Dataset

so2concentrations

1891. Steve’s (Professional) Clothes, as of March 20, 2022

name

rdataset-stevedata-steves_clothes

reference

rdataset-stevedata-steves_clothes’s home link.

R package

stevedata

R Dataset

steves_clothes

1892. IMF Primary Commodity Price Data for Sugar

name

rdataset-stevedata-sugar_price

reference

rdataset-stevedata-sugar_price’s home link.

R package

stevedata

R Dataset

sugar_price

1893. The Counties of Sweden

name

rdataset-stevedata-sweden_counties

reference

rdataset-stevedata-sweden_counties’s home link.

R package

stevedata

R Dataset

sweden_counties

1894. Margaret Thatcher Satisfaction Ratings, 1980-1990

name

rdataset-stevedata-thatcher_approval

reference

rdataset-stevedata-thatcher_approval’s home link.

R package

stevedata

R Dataset

thatcher_approval

1895. Thermometer Ratings for Donald Trump and Barack Obama

name

rdataset-stevedata-therms

reference

rdataset-stevedata-therms’s home link.

R package

stevedata

R Dataset

therms

1896. Turnip prices in Animal Crossing (New Horizons)

name

rdataset-stevedata-turnips

reference

rdataset-stevedata-turnips’s home link.

R package

stevedata

R Dataset

turnips

1897. The Individual Correlates of the Trump Vote in 2016

name

rdataset-stevedata-tv16

reference

rdataset-stevedata-tv16’s home link.

R package

stevedata

R Dataset

tv16

1898. United Kingdom Effective Exchange Rate Index Data, 1990-2022

name

rdataset-stevedata-ukg_eeri

reference

rdataset-stevedata-ukg_eeri’s home link.

R package

stevedata

R Dataset

ukg_eeri

1899. Cross-National Rates of Trade Union Density

name

rdataset-stevedata-uniondensity

reference

rdataset-stevedata-uniondensity’s home link.

R package

stevedata

R Dataset

uniondensity

1900. United States-China GDP and GDP Forecasts, 1960-2050

name

rdataset-stevedata-usa_chn_gdp_forecasts

reference

rdataset-stevedata-usa_chn_gdp_forecasts’s home link.

R package

stevedata

R Dataset

usa_chn_gdp_forecasts

1901. Percentage of U.S. Households with Computer Access, by Year

name

rdataset-stevedata-usa_computers

reference

rdataset-stevedata-usa_computers’s home link.

R package

stevedata

R Dataset

usa_computers

1902. U.S. Inbound/Outbound Migration Data, 1990-2017

name

rdataset-stevedata-usa_migration

reference

rdataset-stevedata-usa_migration’s home link.

R package

stevedata

R Dataset

usa_migration

1903. State Abbreviations, Names, and Regions/Divisions

name

rdataset-stevedata-usa_states

reference

rdataset-stevedata-usa_states’s home link.

R package

stevedata

R Dataset

usa_states

1904. U.S. Trade and GDP, 1790-2018

name

rdataset-stevedata-usa_tradegdp

reference

rdataset-stevedata-usa_tradegdp’s home link.

R package

stevedata

R Dataset

usa_tradegdp

1905. Sample Turnout and Demographic Data from the 2000 Current Population Survey

name

rdataset-stevedata-voteincome

reference

rdataset-stevedata-voteincome’s home link.

R package

stevedata

R Dataset

voteincome

1906. Syncing Word Values Survey Country Codes with CoW Codes

name

rdataset-stevedata-wvs_ccodes

reference

rdataset-stevedata-wvs_ccodes’s home link.

R package

stevedata

R Dataset

wvs_ccodes

1907. Attitudes about Immigration in the World Values Survey

name

rdataset-stevedata-wvs_immig

reference

rdataset-stevedata-wvs_immig’s home link.

R package

stevedata

R Dataset

wvs_immig

1908. Attitudes about the Justifiability of Bribe-Taking in the World Values Survey

name

rdataset-stevedata-wvs_justifbribe

reference

rdataset-stevedata-wvs_justifbribe’s home link.

R package

stevedata

R Dataset

wvs_justifbribe

1909. Attitudes on the Justifiability of Abortion in the United States (World Values Survey, 1982-2011)

name

rdataset-stevedata-wvs_usa_abortion

reference

rdataset-stevedata-wvs_usa_abortion’s home link.

R package

stevedata

R Dataset

wvs_usa_abortion

1910. Education Categories for the United States in the World Values Survey

name

rdataset-stevedata-wvs_usa_educat

reference

rdataset-stevedata-wvs_usa_educat’s home link.

R package

stevedata

R Dataset

wvs_usa_educat

1911. Region Categories for the United States in the World Values Survey

name

rdataset-stevedata-wvs_usa_regions

reference

rdataset-stevedata-wvs_usa_regions’s home link.

R package

stevedata

R Dataset

wvs_usa_regions

1912. Yugo Sales in the United States, 1985-1992

name

rdataset-stevedata-yugo_sales

reference

rdataset-stevedata-yugo_sales’s home link.

R package

stevedata

R Dataset

yugo_sales

1913. Acute Myelogenous Leukemia survival data

name

rdataset-survival-aml (cancer)

reference

rdataset-survival-aml (cancer)’s home link.

R package

survival

R Dataset

aml (cancer)

1914. Bladder Cancer Recurrences

name

rdataset-survival-bladder (cancer)

reference

rdataset-survival-bladder (cancer)’s home link.

R package

survival

R Dataset

bladder (cancer)

1915. Bladder Cancer Recurrences

name

rdataset-survival-bladder1 (cancer)

reference

rdataset-survival-bladder1 (cancer)’s home link.

R package

survival

R Dataset

bladder1 (cancer)

1916. Bladder Cancer Recurrences

name

rdataset-survival-bladder2 (cancer)

reference

rdataset-survival-bladder2 (cancer)’s home link.

R package

survival

R Dataset

bladder2 (cancer)

1917. NCCTG Lung Cancer Data

name

rdataset-survival-cancer

reference

rdataset-survival-cancer’s home link.

R package

survival

R Dataset

cancer

1918. Reliability data sets

name

rdataset-survival-capacitor (reliability)

reference

rdataset-survival-capacitor (reliability)’s home link.

R package

survival

R Dataset

capacitor (reliability)

1919. Chronic Granulotamous Disease data

name

rdataset-survival-cgd

reference

rdataset-survival-cgd’s home link.

R package

survival

R Dataset

cgd

1920. Chronic Granulotomous Disease data

name

rdataset-survival-cgd0 (cgd)

reference

rdataset-survival-cgd0 (cgd)’s home link.

R package

survival

R Dataset

cgd0 (cgd)

1921. Chemotherapy for Stage B/C colon cancer

name

rdataset-survival-colon (cancer)

reference

rdataset-survival-colon (cancer)’s home link.

R package

survival

R Dataset

colon (cancer)

1922. Reliability data sets

name

rdataset-survival-cracks (reliability)

reference

rdataset-survival-cracks (reliability)’s home link.

R package

survival

R Dataset

cracks (reliability)

1923. Ddiabetic retinopathy

name

rdataset-survival-diabetic

reference

rdataset-survival-diabetic’s home link.

R package

survival

R Dataset

diabetic

1924. Assay of serum free light chain for 7874 subjects.

name

rdataset-survival-flchain

reference

rdataset-survival-flchain’s home link.

R package

survival

R Dataset

flchain

1925. Breast cancer data sets used in Royston and Altman (2013)

name

rdataset-survival-gbsg (cancer)

reference

rdataset-survival-gbsg (cancer)’s home link.

R package

survival

R Dataset

gbsg (cancer)

1926. Reliability data sets

name

rdataset-survival-genfan (reliability)

reference

rdataset-survival-genfan (reliability)’s home link.

R package

survival

R Dataset

genfan (reliability)

1927. Stanford Heart Transplant data

name

rdataset-survival-heart

reference

rdataset-survival-heart’s home link.

R package

survival

R Dataset

heart

1928. Reliability data sets

name

rdataset-survival-ifluid (reliability)

reference

rdataset-survival-ifluid (reliability)’s home link.

R package

survival

R Dataset

ifluid (reliability)

1929. Reliability data sets

name

rdataset-survival-imotor (reliability)

reference

rdataset-survival-imotor (reliability)’s home link.

R package

survival

R Dataset

imotor (reliability)

1930. Stanford Heart Transplant data

name

rdataset-survival-jasa (heart)

reference

rdataset-survival-jasa (heart)’s home link.

R package

survival

R Dataset

jasa (heart)

1931. Stanford Heart Transplant data

name

rdataset-survival-jasa1 (heart)

reference

rdataset-survival-jasa1 (heart)’s home link.

R package

survival

R Dataset

jasa1 (heart)

1932. Kidney catheter data

name

rdataset-survival-kidney (cancer)

reference

rdataset-survival-kidney (cancer)’s home link.

R package

survival

R Dataset

kidney (cancer)

1933. Acute Myelogenous Leukemia survival data

name

rdataset-survival-leukemia (cancer)

reference

rdataset-survival-leukemia (cancer)’s home link.

R package

survival

R Dataset

leukemia (cancer)

1934. Data from the 1972-78 GSS data used by Logan

name

rdataset-survival-logan

reference

rdataset-survival-logan’s home link.

R package

survival

R Dataset

logan

1935. NCCTG Lung Cancer Data

name

rdataset-survival-lung (cancer)

reference

rdataset-survival-lung (cancer)’s home link.

R package

survival

R Dataset

lung (cancer)

1936. Monoclonal gammopathy data

name

rdataset-survival-mgus (cancer)

reference

rdataset-survival-mgus (cancer)’s home link.

R package

survival

R Dataset

mgus (cancer)

1937. Monoclonal gammopathy data

name

rdataset-survival-mgus1 (cancer)

reference

rdataset-survival-mgus1 (cancer)’s home link.

R package

survival

R Dataset

mgus1 (cancer)

1938. Monoclonal gammopathy data

name

rdataset-survival-mgus2 (cancer)

reference

rdataset-survival-mgus2 (cancer)’s home link.

R package

survival

R Dataset

mgus2 (cancer)

1939. Acute myeloid leukemia

name

rdataset-survival-myeloid (cancer)

reference

rdataset-survival-myeloid (cancer)’s home link.

R package

survival

R Dataset

myeloid (cancer)

1940. Survival times of patients with multiple myeloma

name

rdataset-survival-myeloma (cancer)

reference

rdataset-survival-myeloma (cancer)’s home link.

R package

survival

R Dataset

myeloma (cancer)

1941. Non-alcohol fatty liver disease

name

rdataset-survival-nafld1 (nafld)

reference

rdataset-survival-nafld1 (nafld)’s home link.

R package

survival

R Dataset

nafld1 (nafld)

1942. Non-alcohol fatty liver disease

name

rdataset-survival-nafld2 (nafld)

reference

rdataset-survival-nafld2 (nafld)’s home link.

R package

survival

R Dataset

nafld2 (nafld)

1943. Non-alcohol fatty liver disease

name

rdataset-survival-nafld3 (nafld)

reference

rdataset-survival-nafld3 (nafld)’s home link.

R package

survival

R Dataset

nafld3 (nafld)

1944. Data from the National Wilm’s Tumor Study

name

rdataset-survival-nwtco

reference

rdataset-survival-nwtco’s home link.

R package

survival

R Dataset

nwtco

1945. Ovarian Cancer Survival Data

name

rdataset-survival-ovarian (cancer)

reference

rdataset-survival-ovarian (cancer)’s home link.

R package

survival

R Dataset

ovarian (cancer)

1946. Mayo Clinic Primary Biliary Cholangitis Data

name

rdataset-survival-pbc

reference

rdataset-survival-pbc’s home link.

R package

survival

R Dataset

pbc

1947. Mayo Clinic Primary Biliary Cirrhosis, sequential data

name

rdataset-survival-pbcseq (pbc)

reference

rdataset-survival-pbcseq (pbc)’s home link.

R package

survival

R Dataset

pbcseq (pbc)

1948. Rat treatment data from Mantel et al

name

rdataset-survival-rats (cancer)

reference

rdataset-survival-rats (cancer)’s home link.

R package

survival

R Dataset

rats (cancer)

1949. Rat data from Gail et al.

name

rdataset-survival-rats2 (cancer)

reference

rdataset-survival-rats2 (cancer)’s home link.

R package

survival

R Dataset

rats2 (cancer)

1950. Diabetic Retinopathy

name

rdataset-survival-retinopathy

reference

rdataset-survival-retinopathy’s home link.

R package

survival

R Dataset

retinopathy

1951. rhDNASE data set

name

rdataset-survival-rhdnase

reference

rdataset-survival-rhdnase’s home link.

R package

survival

R Dataset

rhdnase

1952. Breast cancer data set used in Royston and Altman (2013)

name

rdataset-survival-rotterdam (cancer)

reference

rdataset-survival-rotterdam (cancer)’s home link.

R package

survival

R Dataset

rotterdam (cancer)

1953. Data from a soldering experiment

name

rdataset-survival-solder

reference

rdataset-survival-solder’s home link.

R package

survival

R Dataset

solder

1954. More Stanford Heart Transplant data

name

rdataset-survival-stanford2 (heart)

reference

rdataset-survival-stanford2 (heart)’s home link.

R package

survival

R Dataset

stanford2 (heart)

1955. Tobin’s Tobit data

name

rdataset-survival-tobin

reference

rdataset-survival-tobin’s home link.

R package

survival

R Dataset

tobin

1956. Liver transplant waiting list

name

rdataset-survival-transplant

reference

rdataset-survival-transplant’s home link.

R package

survival

R Dataset

transplant

1957. Reliability data sets

name

rdataset-survival-turbine (reliability)

reference

rdataset-survival-turbine (reliability)’s home link.

R package

survival

R Dataset

turbine (reliability)

1958. Data from a trial of usrodeoxycholic acid

name

rdataset-survival-udca

reference

rdataset-survival-udca’s home link.

R package

survival

R Dataset

udca

1959. Data from a trial of usrodeoxycholic acid

name

rdataset-survival-udca1 (udca)

reference

rdataset-survival-udca1 (udca)’s home link.

R package

survival

R Dataset

udca1 (udca)

1960. Data from a trial of usrodeoxycholic acid

name

rdataset-survival-udca2 (udca)

reference

rdataset-survival-udca2 (udca)’s home link.

R package

survival

R Dataset

udca2 (udca)

1961. Projected US Population

name

rdataset-survival-uspop2 (survexp)

reference

rdataset-survival-uspop2 (survexp)’s home link.

R package

survival

R Dataset

uspop2 (survexp)

1962. Reliability data sets

name

rdataset-survival-valveseat (reliability)

reference

rdataset-survival-valveseat (reliability)’s home link.

R package

survival

R Dataset

valveseat (reliability)

1963. Veterans’ Administration Lung Cancer study

name

rdataset-survival-veteran (cancer)

reference

rdataset-survival-veteran (cancer)’s home link.

R package

survival

R Dataset

veteran (cancer)

1964. Liver related laboratory data

name

rdataset-texmex-liver

reference

rdataset-texmex-liver’s home link.

R package

texmex

R Dataset

liver

1965. Rain, wavesurge, portpirie and nidd datasets.

name

rdataset-texmex-nidd

reference

rdataset-texmex-nidd’s home link.

R package

texmex

R Dataset

nidd

1966. Rain, wavesurge, portpirie and nidd datasets.

name

rdataset-texmex-portpirie

reference

rdataset-texmex-portpirie’s home link.

R package

texmex

R Dataset

portpirie

1967. Rain, wavesurge, portpirie and nidd datasets.

name

rdataset-texmex-rain

reference

rdataset-texmex-rain’s home link.

R package

texmex

R Dataset

rain

1968. Air pollution data, separately for summer and winter months

name

rdataset-texmex-summer

reference

rdataset-texmex-summer’s home link.

R package

texmex

R Dataset

summer

1969. Rain, wavesurge, portpirie and nidd datasets.

name

rdataset-texmex-wavesurge

reference

rdataset-texmex-wavesurge’s home link.

R package

texmex

R Dataset

wavesurge

1970. Air pollution data, separately for summer and winter months

name

rdataset-texmex-winter

reference

rdataset-texmex-winter’s home link.

R package

texmex

R Dataset

winter

1971. Song rankings for Billboard top 100 in the year 2000

name

rdataset-tidyr-billboard

reference

rdataset-tidyr-billboard’s home link.

R package

tidyr

R Dataset

billboard

1972. Data from the Centers for Medicare & Medicaid Services

name

rdataset-tidyr-cms_patient_care

reference

rdataset-tidyr-cms_patient_care’s home link.

R package

tidyr

R Dataset

cms_patient_care

1973. Data from the Centers for Medicare & Medicaid Services

name

rdataset-tidyr-cms_patient_experience

reference

rdataset-tidyr-cms_patient_experience’s home link.

R package

tidyr

R Dataset

cms_patient_experience

1974. Completed construction in the US in 2018

name

rdataset-tidyr-construction

reference

rdataset-tidyr-construction’s home link.

R package

tidyr

R Dataset

construction

1975. Fish encounters

name

rdataset-tidyr-fish_encounters

reference

rdataset-tidyr-fish_encounters’s home link.

R package

tidyr

R Dataset

fish_encounters

1976. Household data

name

rdataset-tidyr-household

reference

rdataset-tidyr-household’s home link.

R package

tidyr

R Dataset

household

1977. World Health Organization TB data

name

rdataset-tidyr-population

reference

rdataset-tidyr-population’s home link.

R package

tidyr

R Dataset

population

1978. Pew religion and income survey

name

rdataset-tidyr-relig_income

reference

rdataset-tidyr-relig_income’s home link.

R package

tidyr

R Dataset

relig_income

1979. Some data about the Smith family

name

rdataset-tidyr-smiths

reference

rdataset-tidyr-smiths’s home link.

R package

tidyr

R Dataset

smiths

1980. Example tabular representations

name

rdataset-tidyr-table1

reference

rdataset-tidyr-table1’s home link.

R package

tidyr

R Dataset

table1

1981. Example tabular representations

name

rdataset-tidyr-table2

reference

rdataset-tidyr-table2’s home link.

R package

tidyr

R Dataset

table2

1982. Example tabular representations

name

rdataset-tidyr-table3

reference

rdataset-tidyr-table3’s home link.

R package

tidyr

R Dataset

table3

1983. Example tabular representations

name

rdataset-tidyr-table4a

reference

rdataset-tidyr-table4a’s home link.

R package

tidyr

R Dataset

table4a

1984. Example tabular representations

name

rdataset-tidyr-table4b

reference

rdataset-tidyr-table4b’s home link.

R package

tidyr

R Dataset

table4b

1985. Example tabular representations

name

rdataset-tidyr-table5

reference

rdataset-tidyr-table5’s home link.

R package

tidyr

R Dataset

table5

1986. US rent and income data

name

rdataset-tidyr-us_rent_income

reference

rdataset-tidyr-us_rent_income’s home link.

R package

tidyr

R Dataset

us_rent_income

1987. World Health Organization TB data

name

rdataset-tidyr-who

reference

rdataset-tidyr-who’s home link.

R package

tidyr

R Dataset

who

1988. World Health Organization TB data

name

rdataset-tidyr-who2

reference

rdataset-tidyr-who2’s home link.

R package

tidyr

R Dataset

who2

1989. Population data from the world bank

name

rdataset-tidyr-world_bank_pop

reference

rdataset-tidyr-world_bank_pop’s home link.

R package

tidyr

R Dataset

world_bank_pop

1990. NACE classification code table

name

rdataset-validate-nace_rev2

reference

rdataset-validate-nace_rev2’s home link.

R package

validate

R Dataset

nace_rev2

1991. data on Dutch supermarkets

name

rdataset-validate-retailers

reference

rdataset-validate-retailers’s home link.

R package

validate

R Dataset

retailers

1992. Economic data on Samplonia

name

rdataset-validate-samplonomy

reference

rdataset-validate-samplonomy’s home link.

R package

validate

R Dataset

samplonomy

1993. data on Dutch supermarkets

name

rdataset-validate-sbs2000

reference

rdataset-validate-sbs2000’s home link.

R package

validate

R Dataset

sbs2000

1994. Arthritis Treatment Data

name

rdataset-vcd-arthritis

reference

rdataset-vcd-arthritis’s home link.

R package

vcd

R Dataset

arthritis

1995. Baseball Data

name

rdataset-vcd-baseball

reference

rdataset-vcd-baseball’s home link.

R package

vcd

R Dataset

baseball

1996. Broken Marriage Data

name

rdataset-vcd-brokenmarriage

reference

rdataset-vcd-brokenmarriage’s home link.

R package

vcd

R Dataset

brokenmarriage

1997. Ergebnisse der Fussball-Bundesliga

name

rdataset-vcd-bundesliga

reference

rdataset-vcd-bundesliga’s home link.

R package

vcd

R Dataset

bundesliga

1998. Votes in German Bundestag Election 2005

name

rdataset-vcd-bundestag2005

reference

rdataset-vcd-bundestag2005’s home link.

R package

vcd

R Dataset

bundestag2005

1999. Butterfly Species in Malaya

name

rdataset-vcd-butterfly

reference

rdataset-vcd-butterfly’s home link.

R package

vcd

R Dataset

butterfly

2000. Breathlessness and Wheeze in Coal Miners

name

rdataset-vcd-coalminers

reference

rdataset-vcd-coalminers’s home link.

R package

vcd

R Dataset

coalminers

2001. Danish Welfare Study Data

name

rdataset-vcd-danishwelfare

reference

rdataset-vcd-danishwelfare’s home link.

R package

vcd

R Dataset

danishwelfare

2002. Employment Status

name

rdataset-vcd-employment

reference

rdataset-vcd-employment’s home link.

R package

vcd

R Dataset

employment

2003. ‘May’ in Federalist Papers

name

rdataset-vcd-federalist

reference

rdataset-vcd-federalist’s home link.

R package

vcd

R Dataset

federalist

2004. Hitters Data

name

rdataset-vcd-hitters

reference

rdataset-vcd-hitters’s home link.

R package

vcd

R Dataset

hitters

2005. Death by Horse Kicks

name

rdataset-vcd-horsekicks

reference

rdataset-vcd-horsekicks’s home link.

R package

vcd

R Dataset

horsekicks

2006. Hospital data

name

rdataset-vcd-hospital

reference

rdataset-vcd-hospital’s home link.

R package

vcd

R Dataset

hospital

2007. Job Satisfaction Data

name

rdataset-vcd-jobsatisfaction

reference

rdataset-vcd-jobsatisfaction’s home link.

R package

vcd

R Dataset

jobsatisfaction

2008. Opinions About Joint Sports

name

rdataset-vcd-jointsports

reference

rdataset-vcd-jointsports’s home link.

R package

vcd

R Dataset

jointsports

2009. Lifeboats on the Titanic

name

rdataset-vcd-lifeboats

reference

rdataset-vcd-lifeboats’s home link.

R package

vcd

R Dataset

lifeboats

2010. Diagnosis of Multiple Sclerosis

name

rdataset-vcd-mspatients

reference

rdataset-vcd-mspatients’s home link.

R package

vcd

R Dataset

mspatients

2011. Non-Response Survey Data

name

rdataset-vcd-nonresponse

reference

rdataset-vcd-nonresponse’s home link.

R package

vcd

R Dataset

nonresponse

2012. Ovary Cancer Data

name

rdataset-vcd-ovarycancer

reference

rdataset-vcd-ovarycancer’s home link.

R package

vcd

R Dataset

ovarycancer

2013. Pre-marital Sex and Divorce

name

rdataset-vcd-presex

reference

rdataset-vcd-presex’s home link.

R package

vcd

R Dataset

presex

2014. Corporal Punishment Data

name

rdataset-vcd-punishment

reference

rdataset-vcd-punishment’s home link.

R package

vcd

R Dataset

punishment

2015. Repeat Victimization Data

name

rdataset-vcd-repvict

reference

rdataset-vcd-repvict’s home link.

R package

vcd

R Dataset

repvict

2016. Rochdale Data

name

rdataset-vcd-rochdale

reference

rdataset-vcd-rochdale’s home link.

R package

vcd

R Dataset

rochdale

2017. Families in Saxony

name

rdataset-vcd-saxony

reference

rdataset-vcd-saxony’s home link.

R package

vcd

R Dataset

saxony

2018. Sex is Fun

name

rdataset-vcd-sexualfun

reference

rdataset-vcd-sexualfun’s home link.

R package

vcd

R Dataset

sexualfun

2019. Space Shuttle O-ring Failures

name

rdataset-vcd-spaceshuttle

reference

rdataset-vcd-spaceshuttle’s home link.

R package

vcd

R Dataset

spaceshuttle

2020. Suicide Rates in Germany

name

rdataset-vcd-suicide

reference

rdataset-vcd-suicide’s home link.

R package

vcd

R Dataset

suicide

2021. Truck Accidents Data

name

rdataset-vcd-trucks

reference

rdataset-vcd-trucks’s home link.

R package

vcd

R Dataset

trucks

2022. UK Soccer Scores

name

rdataset-vcd-uksoccer

reference

rdataset-vcd-uksoccer’s home link.

R package

vcd

R Dataset

uksoccer

2023. Visual Acuity in Left and Right Eyes

name

rdataset-vcd-visualacuity

reference

rdataset-vcd-visualacuity’s home link.

R package

vcd

R Dataset

visualacuity

2024. Von Bortkiewicz Horse Kicks Data

name

rdataset-vcd-vonbort

reference

rdataset-vcd-vonbort’s home link.

R package

vcd

R Dataset

vonbort

2025. Weldon’s Dice Data

name

rdataset-vcd-weldondice

reference

rdataset-vcd-weldondice’s home link.

R package

vcd

R Dataset

weldondice

2026. Women in Queues

name

rdataset-vcd-womenqueue

reference

rdataset-vcd-womenqueue’s home link.

R package

vcd

R Dataset

womenqueue

2027. admnrev

name

rdataset-wooldridge-admnrev

reference

rdataset-wooldridge-admnrev’s home link.

R package

wooldridge

R Dataset

admnrev

2028. affairs

name

rdataset-wooldridge-affairs

reference

rdataset-wooldridge-affairs’s home link.

R package

wooldridge

R Dataset

affairs

2029. airfare

name

rdataset-wooldridge-airfare

reference

rdataset-wooldridge-airfare’s home link.

R package

wooldridge

R Dataset

airfare

2030. alcohol

name

rdataset-wooldridge-alcohol

reference

rdataset-wooldridge-alcohol’s home link.

R package

wooldridge

R Dataset

alcohol

2031. apple

name

rdataset-wooldridge-apple

reference

rdataset-wooldridge-apple’s home link.

R package

wooldridge

R Dataset

apple

2032. approval

name

rdataset-wooldridge-approval

reference

rdataset-wooldridge-approval’s home link.

R package

wooldridge

R Dataset

approval

2033. athlet1

name

rdataset-wooldridge-athlet1

reference

rdataset-wooldridge-athlet1’s home link.

R package

wooldridge

R Dataset

athlet1

2034. athlet2

name

rdataset-wooldridge-athlet2

reference

rdataset-wooldridge-athlet2’s home link.

R package

wooldridge

R Dataset

athlet2

2035. attend

name

rdataset-wooldridge-attend

reference

rdataset-wooldridge-attend’s home link.

R package

wooldridge

R Dataset

attend

2036. audit

name

rdataset-wooldridge-audit

reference

rdataset-wooldridge-audit’s home link.

R package

wooldridge

R Dataset

audit

2037. barium

name

rdataset-wooldridge-barium

reference

rdataset-wooldridge-barium’s home link.

R package

wooldridge

R Dataset

barium

2038. beauty

name

rdataset-wooldridge-beauty

reference

rdataset-wooldridge-beauty’s home link.

R package

wooldridge

R Dataset

beauty

2039. benefits

name

rdataset-wooldridge-benefits

reference

rdataset-wooldridge-benefits’s home link.

R package

wooldridge

R Dataset

benefits

2040. beveridge

name

rdataset-wooldridge-beveridge

reference

rdataset-wooldridge-beveridge’s home link.

R package

wooldridge

R Dataset

beveridge

2041. big9salary

name

rdataset-wooldridge-big9salary

reference

rdataset-wooldridge-big9salary’s home link.

R package

wooldridge

R Dataset

big9salary

2042. bwght

name

rdataset-wooldridge-bwght

reference

rdataset-wooldridge-bwght’s home link.

R package

wooldridge

R Dataset

bwght

2043. bwght2

name

rdataset-wooldridge-bwght2

reference

rdataset-wooldridge-bwght2’s home link.

R package

wooldridge

R Dataset

bwght2

2044. campus

name

rdataset-wooldridge-campus

reference

rdataset-wooldridge-campus’s home link.

R package

wooldridge

R Dataset

campus

2045. card

name

rdataset-wooldridge-card

reference

rdataset-wooldridge-card’s home link.

R package

wooldridge

R Dataset

card

2046. catholic

name

rdataset-wooldridge-catholic

reference

rdataset-wooldridge-catholic’s home link.

R package

wooldridge

R Dataset

catholic

2047. cement

name

rdataset-wooldridge-cement

reference

rdataset-wooldridge-cement’s home link.

R package

wooldridge

R Dataset

cement

2048. census2000

name

rdataset-wooldridge-census2000

reference

rdataset-wooldridge-census2000’s home link.

R package

wooldridge

R Dataset

census2000

2049. ceosal1

name

rdataset-wooldridge-ceosal1

reference

rdataset-wooldridge-ceosal1’s home link.

R package

wooldridge

R Dataset

ceosal1

2050. ceosal2

name

rdataset-wooldridge-ceosal2

reference

rdataset-wooldridge-ceosal2’s home link.

R package

wooldridge

R Dataset

ceosal2

2051. charity

name

rdataset-wooldridge-charity

reference

rdataset-wooldridge-charity’s home link.

R package

wooldridge

R Dataset

charity

2052. consump

name

rdataset-wooldridge-consump

reference

rdataset-wooldridge-consump’s home link.

R package

wooldridge

R Dataset

consump

2053. corn

name

rdataset-wooldridge-corn

reference

rdataset-wooldridge-corn’s home link.

R package

wooldridge

R Dataset

corn

2054. countymurders

name

rdataset-wooldridge-countymurders

reference

rdataset-wooldridge-countymurders’s home link.

R package

wooldridge

R Dataset

countymurders

2055. cps78_85

name

rdataset-wooldridge-cps78_85

reference

rdataset-wooldridge-cps78_85’s home link.

R package

wooldridge

R Dataset

cps78_85

2056. cps91

name

rdataset-wooldridge-cps91

reference

rdataset-wooldridge-cps91’s home link.

R package

wooldridge

R Dataset

cps91

2057. crime1

name

rdataset-wooldridge-crime1

reference

rdataset-wooldridge-crime1’s home link.

R package

wooldridge

R Dataset

crime1

2058. crime2

name

rdataset-wooldridge-crime2

reference

rdataset-wooldridge-crime2’s home link.

R package

wooldridge

R Dataset

crime2

2059. crime3

name

rdataset-wooldridge-crime3

reference

rdataset-wooldridge-crime3’s home link.

R package

wooldridge

R Dataset

crime3

2060. crime4

name

rdataset-wooldridge-crime4

reference

rdataset-wooldridge-crime4’s home link.

R package

wooldridge

R Dataset

crime4

2061. discrim

name

rdataset-wooldridge-discrim

reference

rdataset-wooldridge-discrim’s home link.

R package

wooldridge

R Dataset

discrim

2062. driving

name

rdataset-wooldridge-driving

reference

rdataset-wooldridge-driving’s home link.

R package

wooldridge

R Dataset

driving

2063. earns

name

rdataset-wooldridge-earns

reference

rdataset-wooldridge-earns’s home link.

R package

wooldridge

R Dataset

earns

2064. econmath

name

rdataset-wooldridge-econmath

reference

rdataset-wooldridge-econmath’s home link.

R package

wooldridge

R Dataset

econmath

2065. elem94_95

name

rdataset-wooldridge-elem94_95

reference

rdataset-wooldridge-elem94_95’s home link.

R package

wooldridge

R Dataset

elem94_95

2066. engin

name

rdataset-wooldridge-engin

reference

rdataset-wooldridge-engin’s home link.

R package

wooldridge

R Dataset

engin

2067. expendshares

name

rdataset-wooldridge-expendshares

reference

rdataset-wooldridge-expendshares’s home link.

R package

wooldridge

R Dataset

expendshares

2068. ezanders

name

rdataset-wooldridge-ezanders

reference

rdataset-wooldridge-ezanders’s home link.

R package

wooldridge

R Dataset

ezanders

2069. ezunem

name

rdataset-wooldridge-ezunem

reference

rdataset-wooldridge-ezunem’s home link.

R package

wooldridge

R Dataset

ezunem

2070. fair

name

rdataset-wooldridge-fair

reference

rdataset-wooldridge-fair’s home link.

R package

wooldridge

R Dataset

fair

2071. fertil1

name

rdataset-wooldridge-fertil1

reference

rdataset-wooldridge-fertil1’s home link.

R package

wooldridge

R Dataset

fertil1

2072. fertil2

name

rdataset-wooldridge-fertil2

reference

rdataset-wooldridge-fertil2’s home link.

R package

wooldridge

R Dataset

fertil2

2073. fertil3

name

rdataset-wooldridge-fertil3

reference

rdataset-wooldridge-fertil3’s home link.

R package

wooldridge

R Dataset

fertil3

2074. fish

name

rdataset-wooldridge-fish

reference

rdataset-wooldridge-fish’s home link.

R package

wooldridge

R Dataset

fish

2075. fringe

name

rdataset-wooldridge-fringe

reference

rdataset-wooldridge-fringe’s home link.

R package

wooldridge

R Dataset

fringe

2076. gpa1

name

rdataset-wooldridge-gpa1

reference

rdataset-wooldridge-gpa1’s home link.

R package

wooldridge

R Dataset

gpa1

2077. gpa2

name

rdataset-wooldridge-gpa2

reference

rdataset-wooldridge-gpa2’s home link.

R package

wooldridge

R Dataset

gpa2

2078. gpa3

name

rdataset-wooldridge-gpa3

reference

rdataset-wooldridge-gpa3’s home link.

R package

wooldridge

R Dataset

gpa3

2079. happiness

name

rdataset-wooldridge-happiness

reference

rdataset-wooldridge-happiness’s home link.

R package

wooldridge

R Dataset

happiness

2080. hprice1

name

rdataset-wooldridge-hprice1

reference

rdataset-wooldridge-hprice1’s home link.

R package

wooldridge

R Dataset

hprice1

2081. hprice2

name

rdataset-wooldridge-hprice2

reference

rdataset-wooldridge-hprice2’s home link.

R package

wooldridge

R Dataset

hprice2

2082. hprice3

name

rdataset-wooldridge-hprice3

reference

rdataset-wooldridge-hprice3’s home link.

R package

wooldridge

R Dataset

hprice3

2083. hseinv

name

rdataset-wooldridge-hseinv

reference

rdataset-wooldridge-hseinv’s home link.

R package

wooldridge

R Dataset

hseinv

2084. htv

name

rdataset-wooldridge-htv

reference

rdataset-wooldridge-htv’s home link.

R package

wooldridge

R Dataset

htv

2085. infmrt

name

rdataset-wooldridge-infmrt

reference

rdataset-wooldridge-infmrt’s home link.

R package

wooldridge

R Dataset

infmrt

2086. injury

name

rdataset-wooldridge-injury

reference

rdataset-wooldridge-injury’s home link.

R package

wooldridge

R Dataset

injury

2087. intdef

name

rdataset-wooldridge-intdef

reference

rdataset-wooldridge-intdef’s home link.

R package

wooldridge

R Dataset

intdef

2088. intqrt

name

rdataset-wooldridge-intqrt

reference

rdataset-wooldridge-intqrt’s home link.

R package

wooldridge

R Dataset

intqrt

2089. inven

name

rdataset-wooldridge-inven

reference

rdataset-wooldridge-inven’s home link.

R package

wooldridge

R Dataset

inven

2090. jtrain

name

rdataset-wooldridge-jtrain

reference

rdataset-wooldridge-jtrain’s home link.

R package

wooldridge

R Dataset

jtrain

2091. jtrain2

name

rdataset-wooldridge-jtrain2

reference

rdataset-wooldridge-jtrain2’s home link.

R package

wooldridge

R Dataset

jtrain2

2092. jtrain3

name

rdataset-wooldridge-jtrain3

reference

rdataset-wooldridge-jtrain3’s home link.

R package

wooldridge

R Dataset

jtrain3

2093. jtrain98

name

rdataset-wooldridge-jtrain98

reference

rdataset-wooldridge-jtrain98’s home link.

R package

wooldridge

R Dataset

jtrain98

2094. k401k

name

rdataset-wooldridge-k401k

reference

rdataset-wooldridge-k401k’s home link.

R package

wooldridge

R Dataset

k401k

2095. k401ksubs

name

rdataset-wooldridge-k401ksubs

reference

rdataset-wooldridge-k401ksubs’s home link.

R package

wooldridge

R Dataset

k401ksubs

2096. kielmc

name

rdataset-wooldridge-kielmc

reference

rdataset-wooldridge-kielmc’s home link.

R package

wooldridge

R Dataset

kielmc

2097. labsup

name

rdataset-wooldridge-labsup

reference

rdataset-wooldridge-labsup’s home link.

R package

wooldridge

R Dataset

labsup

2098. lawsch85

name

rdataset-wooldridge-lawsch85

reference

rdataset-wooldridge-lawsch85’s home link.

R package

wooldridge

R Dataset

lawsch85

2099. loanapp

name

rdataset-wooldridge-loanapp

reference

rdataset-wooldridge-loanapp’s home link.

R package

wooldridge

R Dataset

loanapp

2100. lowbrth

name

rdataset-wooldridge-lowbrth

reference

rdataset-wooldridge-lowbrth’s home link.

R package

wooldridge

R Dataset

lowbrth

2101. mathpnl

name

rdataset-wooldridge-mathpnl

reference

rdataset-wooldridge-mathpnl’s home link.

R package

wooldridge

R Dataset

mathpnl

2102. meap00_01

name

rdataset-wooldridge-meap00_01

reference

rdataset-wooldridge-meap00_01’s home link.

R package

wooldridge

R Dataset

meap00_01

2103. meap01

name

rdataset-wooldridge-meap01

reference

rdataset-wooldridge-meap01’s home link.

R package

wooldridge

R Dataset

meap01

2104. meap93

name

rdataset-wooldridge-meap93

reference

rdataset-wooldridge-meap93’s home link.

R package

wooldridge

R Dataset

meap93

2105. meapsingle

name

rdataset-wooldridge-meapsingle

reference

rdataset-wooldridge-meapsingle’s home link.

R package

wooldridge

R Dataset

meapsingle

2106. minwage

name

rdataset-wooldridge-minwage

reference

rdataset-wooldridge-minwage’s home link.

R package

wooldridge

R Dataset

minwage

2107. mlb1

name

rdataset-wooldridge-mlb1

reference

rdataset-wooldridge-mlb1’s home link.

R package

wooldridge

R Dataset

mlb1

2108. mroz

name

rdataset-wooldridge-mroz

reference

rdataset-wooldridge-mroz’s home link.

R package

wooldridge

R Dataset

mroz

2109. murder

name

rdataset-wooldridge-murder

reference

rdataset-wooldridge-murder’s home link.

R package

wooldridge

R Dataset

murder

2110. nbasal

name

rdataset-wooldridge-nbasal

reference

rdataset-wooldridge-nbasal’s home link.

R package

wooldridge

R Dataset

nbasal

2111. ncaa_rpi

name

rdataset-wooldridge-ncaa_rpi

reference

rdataset-wooldridge-ncaa_rpi’s home link.

R package

wooldridge

R Dataset

ncaa_rpi

2112. nyse

name

rdataset-wooldridge-nyse

reference

rdataset-wooldridge-nyse’s home link.

R package

wooldridge

R Dataset

nyse

2113. okun

name

rdataset-wooldridge-okun

reference

rdataset-wooldridge-okun’s home link.

R package

wooldridge

R Dataset

okun

2114. openness

name

rdataset-wooldridge-openness

reference

rdataset-wooldridge-openness’s home link.

R package

wooldridge

R Dataset

openness

2115. pension

name

rdataset-wooldridge-pension

reference

rdataset-wooldridge-pension’s home link.

R package

wooldridge

R Dataset

pension

2116. phillips

name

rdataset-wooldridge-phillips

reference

rdataset-wooldridge-phillips’s home link.

R package

wooldridge

R Dataset

phillips

2117. pntsprd

name

rdataset-wooldridge-pntsprd

reference

rdataset-wooldridge-pntsprd’s home link.

R package

wooldridge

R Dataset

pntsprd

2118. prison

name

rdataset-wooldridge-prison

reference

rdataset-wooldridge-prison’s home link.

R package

wooldridge

R Dataset

prison

2119. prminwge

name

rdataset-wooldridge-prminwge

reference

rdataset-wooldridge-prminwge’s home link.

R package

wooldridge

R Dataset

prminwge

2120. rdchem

name

rdataset-wooldridge-rdchem

reference

rdataset-wooldridge-rdchem’s home link.

R package

wooldridge

R Dataset

rdchem

2121. rdtelec

name

rdataset-wooldridge-rdtelec

reference

rdataset-wooldridge-rdtelec’s home link.

R package

wooldridge

R Dataset

rdtelec

2122. recid

name

rdataset-wooldridge-recid

reference

rdataset-wooldridge-recid’s home link.

R package

wooldridge

R Dataset

recid

2123. rental

name

rdataset-wooldridge-rental

reference

rdataset-wooldridge-rental’s home link.

R package

wooldridge

R Dataset

rental

2124. return

name

rdataset-wooldridge-return

reference

rdataset-wooldridge-return’s home link.

R package

wooldridge

R Dataset

return

2125. saving

name

rdataset-wooldridge-saving

reference

rdataset-wooldridge-saving’s home link.

R package

wooldridge

R Dataset

saving

2126. school93_98

name

rdataset-wooldridge-school93_98

reference

rdataset-wooldridge-school93_98’s home link.

R package

wooldridge

R Dataset

school93_98

2127. sleep75

name

rdataset-wooldridge-sleep75

reference

rdataset-wooldridge-sleep75’s home link.

R package

wooldridge

R Dataset

sleep75

2128. slp75_81

name

rdataset-wooldridge-slp75_81

reference

rdataset-wooldridge-slp75_81’s home link.

R package

wooldridge

R Dataset

slp75_81

2129. smoke

name

rdataset-wooldridge-smoke

reference

rdataset-wooldridge-smoke’s home link.

R package

wooldridge

R Dataset

smoke

2130. traffic1

name

rdataset-wooldridge-traffic1

reference

rdataset-wooldridge-traffic1’s home link.

R package

wooldridge

R Dataset

traffic1

2131. traffic2

name

rdataset-wooldridge-traffic2

reference

rdataset-wooldridge-traffic2’s home link.

R package

wooldridge

R Dataset

traffic2

2132. twoyear

name

rdataset-wooldridge-twoyear

reference

rdataset-wooldridge-twoyear’s home link.

R package

wooldridge

R Dataset

twoyear

2133. volat

name

rdataset-wooldridge-volat

reference

rdataset-wooldridge-volat’s home link.

R package

wooldridge

R Dataset

volat

2134. vote1

name

rdataset-wooldridge-vote1

reference

rdataset-wooldridge-vote1’s home link.

R package

wooldridge

R Dataset

vote1

2135. vote2

name

rdataset-wooldridge-vote2

reference

rdataset-wooldridge-vote2’s home link.

R package

wooldridge

R Dataset

vote2

2136. voucher

name

rdataset-wooldridge-voucher

reference

rdataset-wooldridge-voucher’s home link.

R package

wooldridge

R Dataset

voucher

2137. wage1

name

rdataset-wooldridge-wage1

reference

rdataset-wooldridge-wage1’s home link.

R package

wooldridge

R Dataset

wage1

2138. wage2

name

rdataset-wooldridge-wage2

reference

rdataset-wooldridge-wage2’s home link.

R package

wooldridge

R Dataset

wage2

2139. wagepan

name

rdataset-wooldridge-wagepan

reference

rdataset-wooldridge-wagepan’s home link.

R package

wooldridge

R Dataset

wagepan

2140. wageprc

name

rdataset-wooldridge-wageprc

reference

rdataset-wooldridge-wageprc’s home link.

R package

wooldridge

R Dataset

wageprc

2141. wine

name

rdataset-wooldridge-wine

reference

rdataset-wooldridge-wine’s home link.

R package

wooldridge

R Dataset

wine

Using the Socrata API

This tutorial explains the usage of the Socrata API in Data Retriever. It includes both the CLI (Command Line Interface) commands as well as the Python interface for the same.

Note

Currently Data Retriever only supports tabular Socrata datasets (tabular Socrata datasets which are of type map are not supported).

Command Line Interface

Listing the Socrata Datasets

The retriever ls -s command displays the Socrata datasets which contain the provided keywords in their title.

$ retriever ls -h (gives listing options)

usage: retriever ls [-h] [-l L [L ...]] [-k K [K ...]] [-v V [V ...]]
                [-s S [S ...]]

optional arguments:
  -h, --help    show this help message and exit
  -l L [L ...]  search datasets with specific license(s)
  -k K [K ...]  search datasets with keyword(s)
  -v V [V ...]  verbose list of specified dataset(s)
  -s S [S ...]  search socrata datasets with name(s)

Example

This example will list the names of the socrata datasets which contain the word fishing.

$ retriever ls -s fishing

Autocomplete suggestions : Total 34 results

[?] Select the dataset name: Recommended Fishing Rivers And Streams
 > Recommended Fishing Rivers And Streams
   Recommended Fishing Rivers And Streams API
   Iowa Fishing Report
   Recommended Fishing Rivers, Streams, Lakes and Ponds Map
   Public Fishing Rights Parking Areas Map
   Fishing Atlas
   Cook County - Fishing Lakes
   [ARCHIVED] Fishing License Sellers
   Public Fishing Rights Parking Areas
   Recommended Fishing Lakes and Ponds Map
   Recommended Fishing Lakes and Ponds
   Delaware Fishing Licenses and Trout Stamps
   Cook County - Fishing Lakes - KML

Here the user is prompted to select a dataset name. After selecting a dataset, the command returns some information related to the dataset selected.

Let’s select the Public Fishing Rights Parking Areas dataset, after pressing Enter, the command returns some information regarding the dataset selected.

Autocomplete suggestions : Total 34 results

[?] Select the dataset name: Public Fishing Rights Parking Areas
   Iowa Fishing Report
   Recommended Fishing Rivers, Streams, Lakes and Ponds Map
   Fishing Atlas
   Public Fishing Rights Parking Areas Map
   [ARCHIVED] Fishing License Sellers
   Cook County - Fishing Lakes
 > Public Fishing Rights Parking Areas
   Recommended Fishing Lakes and Ponds Map
   Recommended Fishing Lakes and Ponds
   Delaware Fishing Licenses and Trout Stamps
   Cook County - Fishing Lakes - KML
   General Fishing and Salmon Licence Sales
   Hunting and Fishing License Sellers

Dataset Information of Public Fishing Rights Parking Areas: Total 1 results

1. Public Fishing Rights Parking Areas
  ID : 9vef-6whi
  Type : {'dataset': 'tabular'}
  Description : The New York State Department of Environmental Con...
  Domain : data.ny.gov
  Link : https://data.ny.gov/Recreation/Public-Fishing-Rights-Parking-Areas/9vef-6whi

Downloading the Socrata Datasets

The retriever download socrata-<socrata id> command downloads the Socrata dataset which matches the provided socrata id.

Example

From the example in Listing the Socrata Datasets section, we selected the Public Fishing Rights Parking Areas dataset. Since the dataset is of type tabular, we can download it. The information received in the previous example contains the socrata id. We use this socrata id to download the dataset.

$ retriever download socrata-9vef-6whi

=> Installing socrata-9vef-6whi
Downloading 9vef-6whi.csv: 10.0B [00:03, 2.90B/s]
Done!

The downloaded raw data files are stored in the raw_data directory in the ~/.retriever directory.

Installing the Socrata Datasets

The retriever install <engine> socrata-<socrata id> command downloads the raw data, creates the script for it and then installs the Socrata dataset which matches the provided socrata id into the provided engine.

Example

From the example in Listing the Socrata Datasets section, we selected the Public Fishing Rights Parking Areas dataset. Since the dataset is of type tabular, we can install it. The information received in that section contains the socrata id. We use this socrata id to install the dataset.

$ retriever install postgres socrata-9vef-6whi

=> Installing socrata-9vef-6whi
Downloading 9vef-6whi.csv: 10.0B [00:03, 2.69B/s]
Processing... 9vef-6whi.csv
Successfully wrote scripts to /home/user/.retriever/socrata-scripts/9vef_6whi.csv.json
Updating script name to socrata-9vef-6whi.json
Updating the contents of script socrata-9vef-6whi
Successfully updated socrata_9vef_6whi.json
Creating database socrata_9vef_6whi...

Bulk insert on ..  socrata_9vef_6whi.socrata_9vef_6whi
Done!

The script created for the Socrata dataset is stored in the socrata-scripts directory in the ~/.retriever directory.

Python Interface in Data Retriever

Searching Socrata Datasets

The function socrata_autocomplete_search takes a list of strings as input and returns a list of strings which are the autocompleted names.

>>> import retriever as rt
>>> names = rt.socrata_autocomplete_search(['clinic', '2015', '2016'])
>>> for name in names:
...     print(name)
...
2016 & 2015 Clinic Quality Comparisons for Clinics with Five or More Service Providers
2015 - 2016 Clinical Quality Comparison (>=5 Providers) by Geography
2016 & 2015 Clinic Quality Comparisons for Clinics with Fewer than Five Service Providers

Socrata Dataset Info by Dataset Name

The input argument for the function socrata_dataset_info should be a string (valid dataset name returned by socrata_autocomplete_search). It returns a list of dicts, because there are multiple datasets on socrata with same name (e.g. Building Permits).

>>> import retriever as rt
>>> resource = rt.socrata_dataset_info('2016 & 2015 Clinic Quality Comparisons for Clinics with Five or More Service Providers')
>>> from pprint import pprint
>>> pprint(resource)
[{'description': 'This data set includes comparative information for clinics '
                 'with five or more physicians for medical claims in 2015 - '
                 '2016. \r\n'
                 '\r\n'
                 'This data set was calculated by the Utah Department of '
                 'Health, Office of Healthcare Statistics (OHCS) using Utah’s '
                 'All Payer Claims Database (APCD).',
  'domain': 'opendata.utah.gov',
  'id': '35s3-nmpm',
  'link': 'https://opendata.utah.gov/Health/2016-2015-Clinic-Quality-Comparisons-for-Clinics-w/35s3-nmpm',
  'name': '2016 & 2015 Clinic Quality Comparisons for Clinics with Five or '
          'More Service Providers',
  'type': {'dataset': 'tabular'}}]

Finding Socrata Dataset by Socrata ID

The input argument of the function find_socrata_dataset_by_id should be the four-by-four socrata dataset identifier (e.g. 35s3-nmpm). The function returns a dict which contains metadata about the dataset.

>>> import retriever as rt
>>> from pprint import pprint
>>> resource = rt.find_socrata_dataset_by_id('35s3-nmpm')
>>> pprint(resource)
{'datatype': 'tabular',
 'description': 'This data set includes comparative information for clinics '
                'with five or more physicians for medical claims in 2015 - '
                '2016. \r\n'
                '\r\n'
                'This data set was calculated by the Utah Department of '
                'Health, Office of Healthcare Statistics (OHCS) using Utah’s '
                'All Payer Claims Database (APCD).',
 'domain': 'opendata.utah.gov',
 'homepage': 'https://opendata.utah.gov/Health/2016-2015-Clinic-Quality-Comparisons-for-Clinics-w/35s3-nmpm',
 'id': '35s3-nmpm',
 'keywords': ['socrata'],
 'name': '2016 & 2015 Clinic Quality Comparisons for Clinics with Five or More '
         'Service Providers'}

Downloading a Socrata Dataset

import retriever as rt
rt.download('socrata-35s3-nmpm')

Installing a Socrata Dataset

import retriever as rt
rt.install_postgres('socrata-35s3-nmpm')

Note

For downloading or installing the Socrata Datasets, the dataset should follow the syntax given. The dataset name should be socrata-<socrata id>. The socrata id should be the four-by-four socrata dataset identifier (e.g. 35s3-nmpm).

Example:

• Correct: socrata-35s3-nmpm

• Incorrect: socrata35s3-nmpm, socrata35s3nmpm

Using the Rdatasets API

This tutorial explains the usage of the Rdatasets API in Data Retriever. It includes both the CLI (Command Line Interface) commands as well as the Python interface for the same.

Command Line Interface

Listing the Rdatasets

The retriever ls rdataset command displays the Rdatasets.

$ retriever ls rdataset -h (gives listing options)

usage: retriever ls rdataset [-h] [-p P [P ...]] all

positional arguments:
    all           display all the packages present in rdatasets

optional arguments:
    -h, --help    show this help message and exit
    -p P [P ...]  display a list of all rdatasets present in the package(s)

Examples

This example will display all the Rdatasets present with their package name, dataset name and script name

$ retriever ls rdataset

List of all available Rdatasets

Package: aer              Dataset: affairs                   Script Name: rdataset-aer-affairs
Package: aer              Dataset: argentinacpi              Script Name: rdataset-aer-argentinacpi
Package: aer              Dataset: bankwages                 Script Name: rdataset-aer-bankwages
...
Package: vcd              Dataset: vonbort                   Script Name: rdataset-vcd-vonbort
Package: vcd              Dataset: weldondice                Script Name: rdataset-vcd-weldondice
Package: vcd              Dataset: womenqueue                Script Name: rdataset-vcd-womenqueue

This example will display all the Rdatasets present in the packages vcd and aer

$ retriever ls rdataset -p vcd aer

List of all available Rdatasets in packages: ['vcd', 'aer']
Package: vcd              Dataset: arthritis                 Script Name: rdataset-vcd-arthritis
Package: vcd              Dataset: baseball                  Script Name: rdataset-vcd-baseball
Package: vcd              Dataset: brokenmarriage            Script Name: rdataset-vcd-brokenmarriage
...
Package: aer              Dataset: affairs                   Script Name: rdataset-aer-affairs
Package: aer              Dataset: argentinacpi              Script Name: rdataset-aer-argentinacpi
Package: aer              Dataset: bankwages                 Script Name: rdataset-aer-bankwages
...

This example will display all the Rdatasets present in the package vcd

$ retriever ls rdataset -p vcd

List of all available Rdatasets in packages: ['vcd', 'aer']
Package: vcd              Dataset: arthritis                 Script Name: rdataset-vcd-arthritis
Package: vcd              Dataset: baseball                  Script Name: rdataset-vcd-baseball
Package: vcd              Dataset: brokenmarriage            Script Name: rdataset-vcd-brokenmarriage
...

This example will display all the packages present in rdatasets

$ retriever ls rdataset all

List of all the packages present in Rdatasets

aer         cluster   dragracer  fpp2           gt        islr     mass        multgee         plyr      robustbase  stevedata
asaur       count     drc        gap            histdata  kmsurv   mediation   nycflights13    pscl      rpart       survival
boot        daag      ecdat      geepack        hlmdiag   lattice  mi          openintro       psych     sandwich    texmex
cardata     datasets  evir       ggplot2        hsaur     lme4     mosaicdata  palmerpenguins  quantreg  sem         tidyr
causaldata  dplyr     forecast   ggplot2movies  hwde      lmec     mstate      plm             reshape2  stat2data   vcd

Downloading the Rdatasets

The retriever download rdataset-<package>-<dataset> command downloads the Rdataset dataset which exists in the package package. You can also copy the script name from the output of retriever ls rdataset.

Example

This example downloads the rdataset-vcd-bundesliga dataset.

$ retriever download rdataset-vcd-bundesliga

=> Installing rdataset-vcd-bundesliga
Downloading Bundesliga.csv: 60.0B [00:00, 117B/s]
Done!

The downloaded raw data files are stored in the raw_data directory in the ~/.retriever directory.

Installing the Rdatasets

The retriever install <engine> rdataset-<package>-<dataset> command downloads the raw data, creates the script for it and then installs the Rdataset dataset present in the package package into the provided engine.

Example

This example install the rdataset-aer-usmoney dataset into the postgres engine.

$ retriever install postgres rdataset-aer-usmoney

=> Installing rdataset-aer-usmoney
Downloading USMoney.csv: 1.00B [00:00, 2.52B/s]
Processing... USMoney.csv
Successfully wrote scripts to /home/user/.retriever/rdataset-scripts/usmoney.csv.json
Updating script name to rdataset-aer-usmoney.json
Updating the contents of script rdataset-aer-usmoney
Successfully updated rdataset_aer_usmoney.json
Updated the script rdataset-aer-usmoney
Creating database rdataset_aer_usmoney...

Installing rdataset_aer_usmoney.usmoney
Progress: 100%|█████████████████████████████████████████████████████████████████████████████████████████████| 136/136 [00:00<00:00, 2225.09rows/s]
Done!

The script created for the Rdataset is stored in the rdataset-scripts directory in the ~/.retriever directory.

Python Interface in Data Retriever

Updating Rdatasets Catalog

The function update_rdataset_catalog creates/updates the datasets_url.json in the ~/.retriever/rdataset-scripts directory, which contains the information about all the Rdatasets.

>>> import retriever as rt
>>> rt.update_rdataset_catalog()

Note

The update_rdataset_catalog function has a default argument test which is set to False. If test is set to True, then the contents of the datasets_url.json file would be returned as a dict.

Listing Rdatasets

The function display_all_rdataset_names prints the package, dataset name and the script name for the Rdatasets present in the package(s) requested. If no package is specified, it prints all the rdatasets, and if all is passed as the function argument then all the package names are displayed.

Note

The function argument package_name takes a list as an input when you want to display rdatasets based on the packages. If you want to display all packages names, set package_name argument to all (refer to the example below).

>>> import retriever as rt
>>>
>>> # Display all Rdatasets
>>> rt.display_all_rdataset_names()
List of all available Rdatasets

Package: aer              Dataset: affairs                   Script Name: rdataset-aer-affairs
Package: aer              Dataset: argentinacpi              Script Name: rdataset-aer-argentinacpi
Package: aer              Dataset: bankwages                 Script Name: rdataset-aer-bankwages
...
Package: vcd              Dataset: vonbort                   Script Name: rdataset-vcd-vonbort
Package: vcd              Dataset: weldondice                Script Name: rdataset-vcd-weldondice
Package: vcd              Dataset: womenqueue                Script Name: rdataset-vcd-womenqueue
>>>
>>> # Display all the Rdatasets present in packages 'aer' and 'drc'
>>> rt.display_all_rdataset_names(['aer', 'drc'])
List of all available Rdatasets in packages: ['aer', 'drc']
Package: aer              Dataset: affairs                   Script Name: rdataset-aer-affairs
Package: aer              Dataset: argentinacpi              Script Name: rdataset-aer-argentinacpi
Package: aer              Dataset: bankwages                 Script Name: rdataset-aer-bankwages
...
Package: drc              Dataset: spinach                   Script Name: rdataset-drc-spinach
Package: drc              Dataset: terbuthylazin             Script Name: rdataset-drc-terbuthylazin
Package: drc              Dataset: vinclozolin               Script Name: rdataset-drc-vinclozolin
>>>
>>> # Display all the packages in Rdatasets
>>> rt.display_all_rdataset_names('all')
List of all the packages present in Rdatasets

aer         cluster   dragracer  fpp2           gt        islr     mass        multgee         plyr      robustbase  stevedata
asaur       count     drc        gap            histdata  kmsurv   mediation   nycflights13    pscl      rpart       survival
boot        daag      ecdat      geepack        hlmdiag   lattice  mi          openintro       psych     sandwich    texmex
cardata     datasets  evir       ggplot2        hsaur     lme4     mosaicdata  palmerpenguins  quantreg  sem         tidyr
causaldata  dplyr     forecast   ggplot2movies  hwde      lmec     mstate      plm             reshape2  stat2data   vcd

Downloading a Rdataset

>>> import retriever as rt
>>> rt.download('rdataset-drc-earthworms')

Installing a Rdataset

>>> import retriever as rt
>>> rt.install_postgres('rdataset-mass-galaxies')

Note

For downloading or installing the Rdatasets, the script name should follow the syntax given below. The script name should be rdataset-<package name>-<dataset name>. The package name and dataset name should be valid.

Example:

• Correct: rdataset-drc-earthworms

• Incorrect: rdataset-drcearthworms, rdatasetdrcearthworms

Developer’s guide

1. Quickstart by forking the main repository https://github.com/weecology/retriever

2. Clone your copy of the repository

   • Using https git clone https://github.com/henrykironde/retriever.git

   • Using ssh git clone git@github.com:henrykironde/retriever.git

3. Link or point your cloned copy to the main repository. (I always name it upstream)

   • git remote add upstream https://github.com/weecology/retriever.git

5. Check/confirm your settings using git remote -v

origin      git@github.com:henrykironde/retriever.git (fetch)
origin      git@github.com:henrykironde/retriever.git (push)
upstream    https://github.com/weecology/retriever.git (fetch)
upstream    https://github.com/weecology/retriever.git (push)

6. Install the package from the main directory. use -U or –upgrade to upgrade or overwrite any previously installed versions.

pip install . -U

7. Check if the package was installed

retriever ls
retriever -v

8. Run sample test on CSV engine only, with the option -k

pip install pytest
pytest -k "CSV" -v

Required Modules

You will need Python 3.6.8+ Make sure the required modules are installed: Pip install -r requirements.txt

Developers need to install these extra packages.

pip install codecov
pip install pytest-cov
pip install pytest-xdist
pip install pytest
pip install yapf
pip install pylint
pip install flake8
Pip install pypyodbc # For only Windows(MS Access)

Setting up servers

You need to install all the database infrastructures to enable local testing.

PostgresSQL MySQL SQLite MSAccess (For only Windows, MS Access)

After installation, configure passwordless access to MySQL and PostgresSQL Servers

Passwordless configuration

To avoid supplying the passwords when using the tool, use the config files .pgpass`(`pgpass.conf for Microsoft Windows) for Postgres and .my.cnf for MySQL.

Create if not exists, and add/append the configuration details as below. PostgresSQL conf file ~/.pgpass file.

For more information regarding Passwordless configuration you can visit PostgreSQL Password File and MySQL Password File

localhost:*:*:postgres:Password12!

Postgress:

(Linux / Macos):- A .pgpass file in your HOME directory(~)

(WINDOWS 10-) - A pgpass.conf in your HOME directory(~)

(WINDOWS 10+):- Entering %APPDATA% will take you to C:/Users/username/AppData/Roaming.

In this directory create a new subdirectory named postgresql. Then create the pgpass.conf file inside it. On Microsoft Windows, it is assumed that the file is stored in a secure directory, hence no special permissions setting is needed.

Make sure you set the file permissions to 600

# Linux / Macos
chmod 600 ~/.pgpass
chmod 600 ~/.my.cnf

For most of the recent versions of Postgress server 10+, you need to find pg_hba.conf. This file is located in the installed Postgres directory. One way to find the location of the file pg_hba.conf is using psql -t -P format=unaligned -c 'show hba_file'; To allow passwordless login to Postgres, change peer to trust in pg_hba.conf file.

# Database administrative login by Unix domain socket
local   all             postgres                                trust

Run commands in terminal to create user

PostgreSQL
----------
psql -c "CREATE USER postgres WITH PASSWORD 'Password12!'"
psql -c 'CREATE DATABASE testdb_retriever'
psql -c 'GRANT ALL PRIVILEGES ON DATABASE testdb_retriever to postgres'

Restart the server and test Postgress passwordless setup using retriever without providing the password

retriever install postgres iris

MySQL: Create if not exists .my.cnf in your HOME directory(~). Add the configuration info to the MySQL conf file ~.my.cnf file.

[client]
user="travis"
password="Password12!"
host="mysqldb"
port="3306"

Run commands in terminal to create user

 MySQL
 -----
 mysql -e "CREATE USER 'travis'@'localhost';" -uroot
 mysql -e "GRANT ALL PRIVILEGES ON *.* TO 'travis'@'localhost';" -uroot
 mysql -e "GRANT FILE ON *.* TO 'travis'@'localhost';" -uroot

Restart the server and test MySQL passwordless setup using retriever without providing the password

retriever install mysql iris

Testing

Before running the tests make sure Postgis is set up Spatial database setup.

Follow these instructions to run a complete set of tests for any branch Clone the branch you want to test.

Two ways of installing the program using the setup tools.

we can either install from source as

pip install . --upgrade or python setup.py install

or install in development mode.

python setup.py develop

For more about installing refer to the python setuptools documentation.

you can also install from Git.

# Local repository
pip install git+file:///path/to/your/git/repo #  test a PIP package located in a local git repository
pip install git+file:///path/to/your/git/repo@branch  # checkout a specific branch by adding @branch_name at the end

# Remote GitHub repository
pip install git+git://github.com/myuser/myproject  #  package from a GitHub repository
pip install git+git://github.com/myuser/myproject@my_branch # github repository Specific branch

Running tests locally

Services Used

Read The Docs, codecov, AppVeyor

From the source top-level directory, Use Pytest as examples below

$   py.test -v # All tests
$   py.test -v -k"csv" # Specific test with expression csv
$   py.test ./test/test_retriever.py # Specific file

In case py.test requests for Password (even after Passwordless configuration), change the owner and group permissions for the config files ~/.pgpass, ~/.my.cnf

Style Guide for Python Code

Use yapf -d --recursive retriever/ --style=.style.yapf to check style.

Use yapf -i --recursive retriever/ --style=.style.yapf refactor style

Continuous Integration

The main GitHub repository runs the test on both the GitHub Actions (Linux) and AppVeyor (Windows) continuous-integration platforms.

Pull requests submitted to the repository will automatically be tested using these systems and results reported in the checks section of the pull request page.

Create Release

Start

1. Run the tests. Seriously, do it now.

2. Update CHANGES.md with major updates since the last release

3. Run python version.py (this will update version.txt)

4. Update the version number bumpversion release or provide a version as bumpversion –new-version 3.1.0

5. On Github draft a release with the version changes. Provide a version as tag and publish.

6. After the release, update the version to dev, run bumpversion patch

Release on Test PyPi and PyPi is handled by Github actions.

git push upstream main
git push upstream --tags

Pypi

You will need to create an API key on PyPI and store it in ~/.pypirc to upload to PyPI.

1. sudo python setup.py sdist bdist_wheel

2. sudo python -m twine upload -r pypi dist/*

Cleanup

1. Bump the version numbers as needed. The version number is located in the setup.py, retriever_installer.iss, version.txt and retriever/_version.py

Mac OSX Build

Building the Retriever on OSX.

Python binaries

This build will allow you to successfully build the Mac App for distribution to other systems.

1. Install the Python 3 Installer (or Python 2 if you have a specific reason for doing so) from the Python download site.

2. Use pip to install any desired optional dependencies pip install pymysql psycopg2-binary pyinstaller pytest You will need all of these dependencies, for example pyinstaller, if you want to build the Mac App for distribution

Homebrew

Homebrew works great if you just want to install the Retriever from source on your machine, but at least based on this recipe it does not support the distribution of the Mac App to other versions of OS X (i.e., if you build the App on OS X 10.9 it will only run on 10.9)

1. Install Homebrew ruby -e "$(curl -fsSL https://raw.github.com/mxcl/homebrew/go)"

2. Install Xcode

3. Install Python brew install python

4. Install the Xcode command-line tools xcode-select --install

5. Make brew’s Python the default echo export PATH='usr/local/bin:$PATH' >> ~/.bash_profile

6. Install xlrd via pip pip install xlrd. No sudo is necessary since we’re using brew.

7. Clone the Retriever git clone git@github.com:weecology/retriever.git

8. Switch directories cd retriever

9. Standard install pip install . --upgrade

If you also want to install the dependencies for MySQL and PostgreSQL this can be done using a combination of homebrew and pip.

1. brew install mysql

2. Follow the instructions from brew for starting MySQL

3. brew install postgresql

4. Follow the instructions from brew for starting Postgres

5. sudo pip install pymysql MySQL-python psycopg2-binary

MySQL-python should be installed in addition to pymysql for building the .app file since pymysql is not currently working properly in the .app.

Conda

• This hasn’t been tested yet

Creating or Updating a Conda Release

To create or update a Conda Release, first fork the conda-forge retriever-feedstock repository.

Once forked, open a pull request to the retriever-feedstock repository. Your package will be tested on Windows, Mac, and Linux.

When your pull request is merged, the package will be rebuilt and become automatically available on conda-forge.

All branches in the conda-forge/retriever-feedstock are created and uploaded immediately, so PRs should be based on branches in forks. Branches in the main repository shall be used to build distinct package versions only.

For producing a uniquely identifiable distribution:

• If the version of a package is not being incremented, then the build/number can be added or increased.

• If the version of a package is being incremented, then remember to change the build/number back to 0.

Documentation

We are using Sphinx and Read the Docs. for the documentation. Sphinx uses reStructuredText as its markup language. Source Code documentation is automatically included after committing to the main. Other documentation (not source code) files are added as new reStructuredText in the docs folder

In case you want to change the organization of the Documentation, please refer to Sphinx

Update Documentation

The documentation is automatically updated for changes within modules. However, the documentation should be updated after the addition of new modules in the engines or lib directory. Change to the docs directory and create a temporary directory, i.e. source. Run

cd  docs
mkdir source
sphinx-apidoc -f  -o ./source /Users/../retriever/

The source is the destination folder for the source rst files. /Users/../retriever/ is the path to where the retriever source code is located. Copy the .rst files that you want to update to the docs directory, overwriting the old files. Make sure you check the changes and edit if necessary to ensure that only what is required is updated. Commit and push the new changes. Do not commit the temporary source directory.

Test Documentation locally

cd  docs  # go the docs directory
make html && python3 -m http.server --directory _build/html
# Makes the html files and hosts a HTTP server on localhost:8000 to view the documentation pages locally

Note

Do not commit the _build directory after making HTML.

Read The Docs configuration

Configure read the docs (advanced settings) so that the source is first installed then docs are built. This is already set up but could be changed if need be.

Docker Hub Image Update

The docker-publish Github actions workflow builds, and tests the `weecology\retriever`image and pushes to the `Docker Hub`_ registry.

To Build the image locally run the command below in the repo main directory.

docker build -t weecology/retriever:$(retriever -v) -f docker/Dockerfile .

Collaborative Workflows with GitHub

First fork the Data Retriever repository. Then Clone your forked version with either HTTPS or SSH

# Clone with HTTPS
git clone https://github.com/[myusername]/retriever.git
# Clone with SSH
git clone git@github.com:[myusername]/retriever.git

This will update your .git/config to point to your repository copy of the Data Retriever as remote “origin”

[remote "origin"]
url = git@github.com:[myusername]/retriever.git
fetch = +refs/heads/*:refs/remotes/origin/*

Point to Weecology Data Retriever repository repo. This will enable you to update your main(origin) and you can then push to your origin main. In our case, we can call this upstream().

git remote add upstream https://github.com/weecology/retriever.git

This will update your .git/config to point to the Weecology Data Retriever repository.

[remote "upstream"]
url = https://github.com/weecology/retriever.git
fetch = +refs/heads/*:refs/remotes/upstream/*
# To fetch pull requests add
fetch = +refs/pull/*/head:refs/remotes/origin/pr/*

Fetch upstream main and create a branch to add the contributions to.

git fetch upstream
git checkout main
git reset --hard upstream main
git checkout -b [new-branch-to-fix-issue]

Submitting issues

Categorize the issues based on labels. For example (Bug, Dataset Bug, Important, Feature Request, etc..) Explain the issue explicitly with all details, giving examples and logs where applicable.

Commits

From your local branch of retriever, commit to your origin. Once tests have passed you can then make a pull request to the retriever main (upstream) For each commit, add the issue number at the end of the description with the tag fixes #[issue_number].

Example

Add version number to postgres.py to enable tracking

Skip a line and add more explanation if needed
fixes #3

Clean history

Make one commit for each issue. As you work on a particular issue, try adding all the commits into one general commit rather than several commits.

Use git commit --amend to add new changes to a branch.

Use -f flag to force pushing changes to the branch. git push -f origin [branch_name]

Spatial database setup

Supporting installation of spatial data into Postgres DBMS.

1. Install Postgres

For Mac the easiest way to get started with PostgreSQL is with Postgres.app.

For Debain and Ubuntu, install PostgresSQL and PostGis please ref to Postgres installation.

Otherwise you can try package installers for WINDOWS, MAC, Linux and MacOS from the main PostgreSQL download page

For simplicity, use .pgpass file(pgpass.conf file for Microsoft Windows) to avoid supplying the password every time as decribed in Passwordless configuration.

After installation, Make sure you have the paths to these tools added to your system’s PATHS.

Note: Older version of this raster2pgsql was a python script that you had to download and manually include in Postgres’s directory. Please consult an operating system expert for help on how to change or add the PATH variables.

For example, this could be a sample of paths exported on Mac:

#~/.bash_profile file, Postgres PATHS and tools .

export PATH="/Applications/Postgres.app/Contents/MacOS/bin:${PATH}"
export PATH="$PATH:/Applications/Postgres.app/Contents/Versions/10/bin"

2. Enable PostGIS extensions

If you have Postgres set up, enable PostGIS extensions. This is done by using either Postgres CLI or GUI(PgAdmin) and run the commands below.

For psql CLI

psql -d yourdatabase -c "CREATE EXTENSION postgis;"
psql -d yourdatabase -c "CREATE EXTENSION postgis_topology;"

For GUI(PgAdmin)

`CREATE EXTENSION postgis;`
`CREATE EXTENSION postgis_topology`

For more details refer to the Postgis docs.

Note

PostGIS excluded the raster types and functions from the main extension as of version 3.x; A separate CREATE EXTENSION postgis_raster; is then needed to get raster support.

Versions 2.x have full raster support as part of the main extension environment, so CREATE EXTENSION postgis; is all that you need`

Contributor Code of Conduct

Our Pledge

In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation.

Our Standards

Examples of behavior that contributes to creating a positive environment include:

Using welcoming and inclusive language Being respectful of differing viewpoints and experiences Gracefully accepting constructive criticism Focusing on what is best for the community Showing empathy towards other community members Examples of unacceptable behavior by participants include:

The use of sexualized language or imagery and unwelcome sexual attention or advances Trolling, insulting/derogatory comments, and personal or political attacks Public or private harassment Publishing others’ private information, such as a physical or electronic address, without explicit permission Other conduct which could reasonably be considered inappropriate in a professional setting

Our Responsibilities

Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior.

Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful.

Scope

This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers.

Enforcement

Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at ethan@weecology.org. All complaints will be reviewed and investigated and will result in a response that is deemed necessary and appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately.

Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project’s leadership.

Attribution

This Code of Conduct is adapted from the Contributor Covenant, version 1.4.

Retriever API

retriever package

Subpackages

retriever.engines package

Submodules

retriever.engines.csvengine module

class retriever.engines.csvengine.engine

Bases: Engine

Engine instance for writing data to a CSV file.

abbreviation = 'csv'

auto_column_number = 0

create_db()

Override create_db since there is no database just a CSV file

create_table()

Create the table by creating an empty csv file

datatypes = {'auto': 'INTEGER', 'bigint': 'INTEGER', 'bool': 'INTEGER', 'char': 'TEXT', 'decimal': 'REAL', 'double': 'REAL', 'int': 'INTEGER'}

disconnect()

Close the last file in the dataset

disconnect_files()

Close each file after being written

execute(statement, commit=True)

Write a line to the output file

executemany(statement, values, commit=True)

Write a line to the output file

format_insert_value(value, datatype)

Formats a value for an insert statement

get_connection()

Gets the db connection.

insert_limit = 1000

insert_statement(values)

Returns a comma delimited row of values

name = 'CSV'

required_opts = [('table_name', 'Format of table name', '{db}_{table}.csv'), ('data_dir', 'Install directory', '.')]

table_exists(dbname, tablename)

Check to see if the data file currently exists

table_names = []

to_csv(sort=True, path=None, select_columns=None)

Export sorted version of CSV file

retriever.engines.download_only module

retriever.engines.download_only.dummy_method(self, *args, **kwargs)

Dummy method template to help with replacing Engine functions

class retriever.engines.download_only.engine

Bases: Engine

Engine instance for writing data to a CSV file.

abbreviation = 'download'

all_files = {}

auto_create_table(table, url=None, filename=None, pk=None, make=True)

Download the file if it doesn’t exist

create_db(*args, **kwargs)

Dummy method template to help with replacing Engine functions

create_table(*args, **kwargs)

Dummy method template to help with replacing Engine functions

final_cleanup()

Copies downloaded files to desired directory

find_file(filename)

Checks for the given file and adds it to the list of all files

get_connection()

Gets the db connection.

insert_data_from_file(*args, **kwargs)

Dummy method template to help with replacing Engine functions

insert_data_from_url(url)

Insert data from a web resource

name = 'Download Only'

register_files(filenames)

Identify a list of files to be moved by the download

When downloading archives with multiple files the engine needs to be informed of all of the file names so that it can move them.

required_opts = [('path', 'File path to copy data files', './'), ('sub_dir', 'Install directory', '')]

table_exists(dbname, tablename)

Checks if the file to be downloaded already exists

retriever.engines.jsonengine module

Engine for writing data to a JSON file

class retriever.engines.jsonengine.engine

Bases: Engine

Engine instance for writing data to a JSON file.

abbreviation = 'json'

auto_column_number = 0

create_db()

Override create_db since there is no database just a JSON file

create_table()

Create the table by creating an empty json file

datatypes = {'auto': 'INTEGER', 'bigint': 'INTEGER', 'bool': 'INTEGER', 'char': 'TEXT', 'decimal': 'REAL', 'double': 'REAL', 'int': 'INTEGER'}

disconnect()

Close out the JSON with a n]} and close the file.

Close all the file objects that have been created Re-write the files stripping off the last comma and then close with a n]}.

execute(statement, commit=True)

Write a line to the output file

executemany(statement, values, commit=True)

Write a line to the output file

format_insert_value(value, datatype)

Formats a value for an insert statement

get_connection()

Gets the db connection.

insert_limit = 1000

insert_statement(values)

Return SQL statement to insert a set of values.

name = 'JSON'

required_opts = [('table_name', 'Format of table name', '{db}_{table}.json'), ('data_dir', 'Install directory', '.')]

table_exists(dbname, tablename)

Check to see if the data file currently exists

table_names = []

to_csv(sort=True, path=None, select_columns=None)

Export table from json engine to CSV file

retriever.engines.msaccess module

class retriever.engines.msaccess.engine

Bases: Engine

Engine instance for Microsoft Access.

abbreviation = 'msaccess'

convert_data_type(datatype)

MS Access can’t handle complex Decimal types

create_db()

MS Access doesn’t create databases.

datatypes = {'auto': 'AUTOINCREMENT', 'bigint': 'INTEGER', 'bool': 'BIT', 'char': 'VARCHAR', 'decimal': 'NUMERIC', 'double': 'NUMERIC', 'int': 'INTEGER'}

drop_statement(object_type, object_name)

Returns a drop table or database SQL statement.

get_connection()

Gets the db connection.

insert_data_from_file(filename)

Perform a bulk insert.

insert_limit = 1000

instructions = 'Create a database in Microsoft Access, close Access.\nThen select your database file using this dialog.'

name = 'Microsoft Access'

placeholder = '?'

required_opts = [('file', 'Enter the filename of your Access database', 'access.mdb', 'Access databases (*.mdb, *.accdb)|*.mdb;*.accdb'), ('table_name', 'Format of table name', '[{db} {table}]'), ('data_dir', 'Install directory', '.')]

retriever.engines.mysql module

class retriever.engines.mysql.engine

Bases: Engine

Engine instance for MySQL.

abbreviation = 'mysql'

create_db_statement()

Return SQL statement to create a database.

datatypes = {'auto': 'INT(5) NOT NULL AUTO_INCREMENT', 'bigint': 'BIGINT', 'bool': 'BOOL', 'char': ('TEXT', 'VARCHAR'), 'decimal': 'DECIMAL', 'double': 'DOUBLE', 'int': 'INT'}

get_connection()

Get db connection. PyMySQL has changed the default encoding from latin1 to utf8mb4. https://github.com/PyMySQL/PyMySQL/pull/692/files For PyMySQL to work well on CI infrastructure, connect with the preferred charset

insert_data_from_file(filename)

Call MySQL “LOAD DATA LOCAL INFILE” statement to perform a bulk insert.

insert_limit = 1000

lookup_encoding()

Convert well known encoding to MySQL syntax MySQL has a unique way of representing the encoding. For example, latin-1 becomes latin1 in MySQL. Please update the encoding lookup table if the required encoding is not present.

max_int = 4294967295

name = 'MySQL'

placeholder = '%s'

required_opts = [('user', 'Enter your MySQL username', 'root'), ('password', 'Enter your password', ''), ('host', 'Enter your MySQL host', 'localhost'), ('port', 'Enter your MySQL port', 3306), ('database_name', 'Format of database name', '{db}'), ('table_name', 'Format of table name', '{db}.{table}')]

set_engine_encoding()

Set MySQL database encoding to match data encoding

table_exists(dbname, tablename)

Check to see if the given table exists.

retriever.engines.postgres module

class retriever.engines.postgres.engine

Bases: Engine

Engine instance for PostgreSQL.

abbreviation = 'postgres'

auto_create_table(table, url=None, filename=None, pk=None, make=True)

Create a table automatically.

Overwrites the main Engine class. Identifies the type of table to create. For a Raster or vector (Gis) dataset, create the table from the contents downloaded from the url or from the contents in the filename. Otherwise, use the Engine function for a tabular table.

create_db()

Create Engine database.

create_db_statement()

In PostgreSQL, the equivalent of a SQL database is a schema.

create_table()

Create a table and commit.

PostgreSQL needs to commit operations individually. Enable PostGis extensions if a script has a non tabular table.

datatypes = {'auto': 'serial', 'bigint': 'bigint', 'bool': 'boolean', 'char': 'varchar', 'decimal': 'decimal', 'double': 'double precision', 'int': 'integer'}

db_encoding = 'Latin1'

drop_statement(object_type, object_name)

In PostgreSQL, the equivalent of a SQL database is a schema.

format_insert_value(value, datatype)

Format value for an insert statement.

get_connection()

Gets the db connection.

Please update the encoding lookup table if the required encoding is not present.

insert_data_from_file(filename)

Use PostgreSQL’s “COPY FROM” statement to perform a bulk insert.

Current postgres engine bulk only supports comma delimiter

insert_limit = 1000

insert_raster(path=None, srid=4326)

Import Raster into Postgis Table Uses raster2pgsql -Y -M -d -I -s <SRID> <PATH> <SCHEMA>.<DBTABLE> | psql -d <DATABASE> The sql processed by raster2pgsql is run as psql -U postgres -d <gisdb> -f <elev>.sql -Y uses COPY to insert data, -M VACUUM table, -d Drops the table, recreates insert raster data

insert_statement(values)

Return SQL statement to insert a set of values.

insert_vector(path=None, srid=4326)

Import Vector into Postgis Table

– Enable PostGIS (includes raster) CREATE EXTENSION postgis;

– Enable Topology CREATE EXTENSION postgis_topology;

– fuzzy matching needed for Tiger CREATE EXTENSION fuzzystrmatch;

– Enable US Tiger Geocoder CREATE EXTENSION postgis_tiger_geocoder; Uses shp2pgsql -I -s <SRID> <PATH/TO/SHAPEFILE> <SCHEMA>.<DBTABLE> | psql -U postgres -d <DBNAME>>

The sql processed by shp2pgsql is run as psql -U postgres -d <DBNAME>> shp2pgsql -c -D -s 4269 -i -I

max_int = 2147483647

name = 'PostgreSQL'

placeholder = '%s'

required_opts = [('user', 'Enter your PostgreSQL username', 'postgres'), ('password', 'Enter your password', ''), ('host', 'Enter your PostgreSQL host', 'localhost'), ('port', 'Enter your PostgreSQL port', 5432), ('database', 'Enter your PostgreSQL database name', 'postgres'), ('database_name', 'Format of schema name', '{db}'), ('table_name', 'Format of table name', '{db}.{table}')]

spatial_support = True

supported_raster(path, ext=None)

Return the supported Gis raster files from the path

Update the extensions after testing if a given raster type is supported by raster2pgsql.

retriever.engines.sqlite module

class retriever.engines.sqlite.engine

Bases: Engine

Engine instance for SQLite.

abbreviation = 'sqlite'

create_db()

Don’t create database for SQLite

SQLite doesn’t create databases. Each database is a file and needs a separate connection. This overloads`create_db` to do nothing in this case.

datatypes = {'auto': ('INTEGER', 'AUTOINCREMENT'), 'bigint': 'INTEGER', 'bool': 'INTEGER', 'char': 'TEXT', 'decimal': 'REAL', 'double': 'REAL', 'int': 'INTEGER'}

fetch_tables(dataset, table_names)

Return sqlite dataset as list of pandas dataframe.

get_bulk_insert_statement()

Get insert statement for bulk inserts

This places ?’s instead of the actual values so that executemany() can operate as designed

get_connection()

Get db connection.

insert_data_from_file(filename)

Perform a high speed bulk insert

Checks to see if a given file can be bulk inserted, and if so loads it in chunks and inserts those chunks into the database using executemany.

insert_limit = 1000

name = 'SQLite'

placeholder = '?'

required_opts = [('file', 'Enter the filename of your SQLite database', 'sqlite.db'), ('table_name', 'Format of table name', '{db}_{table}'), ('data_dir', 'Install directory', '.')]

retriever.engines.xmlengine module

class retriever.engines.xmlengine.engine

Bases: Engine

Engine instance for writing data to a XML file.

abbreviation = 'xml'

auto_column_number = 0

create_db()

Override create_db since there is no database just an XML file.

create_table()

Create the table by creating an empty XML file.

datatypes = {'auto': 'INTEGER', 'bigint': 'INTEGER', 'bool': 'INTEGER', 'char': 'TEXT', 'decimal': 'REAL', 'double': 'REAL', 'int': 'INTEGER'}

disconnect()

Close out the xml files

Close all the file objects that have been created Re-write the files stripping off the last comma and then close with a closing tag)

execute(statement, commit=True)

Write a line to the output file.

executemany(statement, values, commit=True)

Write a line to the output file.

format_insert_value(value, datatype)

Format value for an insert statement.

get_connection()

Get db connection.

insert_limit = 1000

insert_statement(values)

Create the insert statement.

Wrap each data value with column values(key) using _format_single_row <key> value </key>.

name = 'XML'

required_opts = [('table_name', 'Format of table name', '{db}_{table}.xml'), ('data_dir', 'Install directory', '.')]

table_names = []

to_csv(sort=True, path=None, select_columns=None)

Export table from xml engine to CSV file.

retriever.engines.xmlengine.format_single_row(keys, line_data)

Create an xml string from the keys and line_data values.

retriever.lib package

Submodules

retriever.lib.cleanup module

class retriever.lib.cleanup.Cleanup(function=<function no_cleanup>, **kwargs)

Bases: object

This class represents a custom cleanup function and a dictionary of arguments to be passed to that function.

retriever.lib.cleanup.correct_invalid_value(value, args)

This cleanup function replaces missing value indicators with None.

retriever.lib.cleanup.floatable(value)

Check if a value can be converted to a float

retriever.lib.cleanup.no_cleanup(value, args)

Default cleanup function, returns the unchanged value.

retriever.lib.create_scripts module

Module to auto create scripts from source

class retriever.lib.create_scripts.RasterPk(**kwargs)

Bases: TabularPk

Raster package class

create_raster_resources(file_path)

Get resource information from raster file

get_resources(file_path, driver_name=None, skip_lines=None, encoding=None)

Get raster resources

get_source(file_path, driver=None)

Read raster data source

multi_formats = ['hdf']

pk_formats = ['gif', 'img', 'bil', 'jpg', 'tif', 'tiff', 'hdf', 'l1b', '.gif', '.img', '.bil', '.jpg', '.tif', '.tiff', '.hdf', '.l1b']

set_global(src_ds)

Set raster specific properties

class retriever.lib.create_scripts.TabularPk(name='fill', title='fill', description='fill', citation='fill', licenses=[], keywords=[], archived='fill or remove this field if not archived', homepage='fill', version='1.0.0', resources=[], retriever='True', retriever_minimum_version='2.1.0', **kwargs)

Bases: object

Main Tabular data package

create_tabular_resources(file, skip_lines, encoding)

Create resources for tabular scripts

get_resources(file_path, driver_name=None, skip_lines=None, encoding='utf-8')

Get resource values from tabular data source

class retriever.lib.create_scripts.VectorPk(**kwargs)

Bases: TabularPk

Vector package class

create_vector_resources(path, driver_name)

Create vector data resources

get_resources(file_path, driver_name=None, skip_lines=None, encoding=None)

Get resource values from tabular data source

get_source(source, driver_name=None)

Open a data source

pk_formats = ['.shp', 'shp']

set_globals(da_layer)

Set vector values

retriever.lib.create_scripts.clean_table_name(table_name)

Remove and replace chars . and ‘-’ with ‘_’

retriever.lib.create_scripts.create_package(path, data_type, file_flag, out_path=None, skip_lines=None, encoding='utf-8')

Creates package for a path

path: string path to files to be processed data_type: string data type of the files to be processed file_flag: boolean for whether the files are processed as files or directories out_path: string path to write scripts out to skip_lines: int number of lines to skip as a list encoding: encoding of source

retriever.lib.create_scripts.create_raster_datapackage(pk_type, path, file_flag, out_path)

Creates raster package for a path

retriever.lib.create_scripts.create_script_dict(pk_type, path, file, skip_lines, encoding)

Create a script dict or skips file if resources cannot be made

retriever.lib.create_scripts.create_tabular_datapackage(pk_type, path, file_flag, out_path, skip_lines, encoding)

Creates tabular package for a path

retriever.lib.create_scripts.create_vector_datapackage(pk_type, path, file_flag, out_path)

Creates vector package for a path

retriever.lib.create_scripts.get_directory(path)

Returns absolute directory path for a path.

retriever.lib.create_scripts.process_dirs(pk_type, sub_dirs_path, out_path, skip_lines, encoding)

Creates a script for each directory.

retriever.lib.create_scripts.process_singles(pk_type, single_files_path, out_path, skip_lines, encoding)

Creates a script for each file

If the filepath is a file, creates a single script for that file. If the filepath is a directory, creates a single script for each file in the directory.

retriever.lib.create_scripts.process_source(pk_type, path, file_flag, out_path, skip_lines=None, encoding='utf-8')

Process source file or source directory

retriever.lib.create_scripts.write_out_scripts(script_dict, path, out_path)

Writes scripts out to a given path

retriever.lib.datapackage module

retriever.lib.datapackage.clean_input(prompt='', split_char='', ignore_empty=False, dtype=None)

Clean the user-input from the CLI before adding it.

retriever.lib.datapackage.is_empty(val)

Check if a variable is an empty string or an empty list.

retriever.lib.datasets module

retriever.lib.datasets.dataset_licenses()

Return set with all available licenses.

retriever.lib.datasets.dataset_names()

Return list of all available dataset names.

retriever.lib.datasets.dataset_verbose_list(script_names: list)

Returns the verbose list of the specified dataset(s)

retriever.lib.datasets.datasets(keywords=None, licenses=None)

Search all datasets by keywords and licenses.

retriever.lib.datasets.license(dataset)

Get the license for a dataset.

retriever.lib.defaults module

retriever.lib.download module

retriever.lib.download.download(dataset, path='./', quiet=False, sub_dir='', debug=False, use_cache=True)

Download scripts for retriever.

retriever.lib.dummy module

Dummy connection classes for connectionless engine instances

This module contains dummy classes required for non-db based children of the Engine class.

class retriever.lib.dummy.DummyConnection

Bases: object

Dummy connection class

close()

Dummy close connection

commit()

Dummy commit

cursor()

Dummy cursor function

rollback()

Dummy rollback

class retriever.lib.dummy.DummyCursor

Bases: DummyConnection

Dummy connection cursor

retriever.lib.engine module

class retriever.lib.engine.Engine

Bases: object

A generic database system. Specific database platforms will inherit from this class.

add_to_table(data_source)

Adds data to a table from one or more lines specified in engine.table.source.

auto_create_table(table, url=None, filename=None, pk=None, make=True)

Create table automatically by analyzing a data source and predicting column names, data types, delimiter, etc.

auto_get_datatypes(pk, source, columns)

Determine data types for each column.

For string columns adds an additional 100 characters to the maximum observed value to provide extra space for cases where special characters are counted differently by different engines.

auto_get_delimiter(header)

Determine the delimiter.

Find out which of a set of common delimiters occurs most in the header line and use this as the delimiter.

check_bulk_insert()

Check if a bulk insert could be performed on the data

connect(force_reconnect=False)

Create a connection.

property connection

Create a connection.

convert_data_type(datatype)

Convert Retriever generic data types to database platform specific data types.

create_db()

Create a new database based on settings supplied in Database object engine.db.

create_db_statement()

Return SQL statement to create a database.

create_raw_data_dir(path=None)

Check to see if the archive directory exists and creates it if necessary.

create_table()

Create new database table based on settings supplied in Table object engine.table.

create_table_statement()

Return SQL statement to create a table.

property cursor

Get db cursor.

data_path = None

database_name(name=None)

Return name of the database.

datatypes = []

db = None

debug = False

disconnect()

Disconnect a connection.

disconnect_files()

Files systems should override this method.

Enables commit per file object.

download_file(url, filename)

Download file to the raw data directory.

download_files_from_archive(url, file_names=None, archive_type='zip', keep_in_dir=False, archive_name=None)

Download files from an archive into the raw data directory.

download_from_kaggle(data_source, dataset_name, archive_dir, archive_full_path)

Download files from Kaggle into the raw data directory

download_from_socrata(url, path, progbar)

Download files from Socrata to the raw data directory

download_response(url, path, progbar)

Returns True|None according to the download GET response

drop_statement(object_type, object_name)

Return drop table or database SQL statement.

encoding = None

excel_to_csv(src_path, path_to_csv, excel_info=None, encoding='utf-8')

Convert excel files to csv files.

execute(statement, commit=True)

Execute given statement.

executemany(statement, values, commit=True)

Execute given statement with multiple values.

extract_fixed_width(line)

Split line based on the fixed width, returns list of the values.

extract_gz(archive_path, archivedir_write_path, file_name=None, open_archive_file=None, archive=None)

Extract gz files.

Extracts a given file name or all the files in the gz.

extract_tar(archive_path, archivedir_write_path, archive_type, file_name=None)

Extract tar or tar.gz files.

Extracts a given file name or the file in the tar or tar.gz. # gzip archives can only contain a single file

extract_zip(archive_path, archivedir_write_path, file_name=None)

Extract zip files.

Extracts a given file name or the entire files in the archive.

fetch_tables(dataset, table_names)

This can be overridden to return the tables of sqlite db as pandas data frame. Return False by default.

final_cleanup()

Close the database connection.

find_file(filename)

Check for an existing datafile.

format_data_dir()

Return correctly formatted raw data directory location.

format_filename(filename)

Return full path of a file in the archive directory.

format_insert_value(value, datatype)

Format a value for an insert statement based on data type.

Different data types need to be formated differently to be properly stored in database management systems. The correct formats are obtained by:

1. Removing extra enclosing quotes

2. Harmonizing null indicators

3. Cleaning up badly formatted integers

4. Obtaining consistent float representations of decimals

get_connection()

This method should be overridden by specific implementations of Engine.

get_ct_data(lines)

Create cross tab data.

get_ct_line_length(lines)

Returns the number of real lines for cross-tab data

get_cursor()

Get db cursor.

get_input()

Manually get user input for connection information when script is run from terminal.

insert_data_from_archive(url, filenames)

Insert data from files located in an online archive. This function extracts the file, inserts the data, and deletes the file if raw data archiving is not set.

insert_data_from_file(filename)

The default function to insert data from a file. This function simply inserts the data row by row. Database platforms with support for inserting bulk data from files can override this function.

insert_data_from_url(url)

Insert data from a web resource, such as a text file.

insert_raster(path=None, srid=None)

Base function for installing raster data from path

insert_statement(values)

Return SQL statement to insert a set of values.

insert_vector(path=None, srid=None)

Base function for installing vector data from path

instructions = 'Enter your database connection information:'

load_data(filename)

Generator returning lists of values from lines in a data file.

1. Works on both delimited (csv module) and fixed width data (extract_fixed_width) 2. Identifies the delimiter if not known 3. Removes extra line ending

name = ''

pkformat = '%s PRIMARY KEY %s '

placeholder = None

process_geojson2csv(src_path, path_to_csv, encoding='utf-8')

process_hdf52csv(src_path, path_to_csv, data_name, data_type, encoding='utf-8')

process_json2csv(src_path, path_to_csv, headers, encoding='utf-8')

process_sqlite2csv(src_path, path_to_csv, table_name=None, encoding='utf-8')

Process sqlite database to csv files.

process_xml2csv(src_path, path_to_csv, header_values=None, empty_rows=1, encoding='utf-8')

register_tables()

Register table names of scripts

required_opts = []

script = None

script_table_registry = {}

set_engine_encoding()

Set up the encoding to be used.

set_table_delimiter(file_path)

Get the delimiter from the data file and set it.

spatial_support = False

supported_raster(path, ext=None)

“Spatial data is not currently supported for this database type or file format. PostgreSQL is currently the only supported output for spatial data.

table = None

table_name(name=None, dbname=None)

Return full table name.

to_csv(sort=True, path=None, select_columns=None, select_table=None)

Create a CSV file from the a data store.

sort flag to create a sorted file, path to write the flag else write to the PWD, select_columns flag is used by large files to select columns data and has SELECT LIMIT 3.

use_cache = True

warning(warning)

Create a warning message using the current script and table.

warnings = []

write_fileobject(archivedir_write_path, file_name, file_obj=None, archive=None, open_object=False)

Write a file object from a archive object to a given path

open_object flag helps up with zip files, open the zip and the file

retriever.lib.engine.file_exists(path)

Return true if a file exists and its size is greater than 0.

retriever.lib.engine.filename_from_url(url)

Extract and returns the filename from the url.

retriever.lib.engine.gen_from_source(source)

Return generator from a source tuple.

Source tuples are of the form (callable, args) where callable(star args) returns either a generator or another source tuple. This allows indefinite regeneration of data sources.

retriever.lib.engine.reporthook(tqdm_inst, filename=None)

tqdm wrapper to generate progress bar for urlretriever

retriever.lib.engine.set_csv_field_size()

Set the CSV size limit based on the available resources

retriever.lib.engine.skip_rows(rows, source)

Skip over the header lines by reading them before processing.

retriever.lib.engine_tools module

Data Retriever Tools

This module contains miscellaneous classes and functions used in Retriever scripts.

retriever.lib.engine_tools.create_file(data, output='output_file')

Write lines to file from a list.

retriever.lib.engine_tools.create_home_dir()

Create Directory for retriever.

retriever.lib.engine_tools.file_2list(input_file)

Read in a csv file and return lines a list.

retriever.lib.engine_tools.geojson2csv(input_file, output_file, encoding)

Convert Geojson file to csv.

Function is used for testing only.

retriever.lib.engine_tools.getmd5(data, data_type='lines', encoding='utf-8')

Get MD5 of a data source.

retriever.lib.engine_tools.hdf2csv(file, output_file, data_name, data_type, encoding='utf-8')

retriever.lib.engine_tools.json2csv(input_file, output_file=None, header_values=None, encoding='utf-8', row_key=None)

Convert Json file to CSV.

retriever.lib.engine_tools.reset_retriever(scope='all', ask_permission=True)

Remove stored information on scripts and data.

retriever.lib.engine_tools.set_proxy()

Check for proxies and makes them available to urllib.

retriever.lib.engine_tools.sort_csv(filename, encoding='utf-8')

Sort CSV rows minus the header and return the file.

Function is used for only testing and can handle the file of the size.

retriever.lib.engine_tools.sort_file(file_path, encoding='utf-8')

Sort file by line and return the file.

Function is used for only testing and can handle the file of the size.

retriever.lib.engine_tools.sqlite2csv(input_file, output_file, table_name=None, encoding='utf-8')

Convert sqlite database file to CSV.

retriever.lib.engine_tools.walker(raw_data, row_key=None, header_values=None, rows=[], normalize=False)

Extract rows of data from json datasets

retriever.lib.engine_tools.xml2csv(input_file, output_file, header_values=None, empty_rows=1, encoding='utf-8')

Convert xml to csv.

retriever.lib.engine_tools.xml2csv_test(input_file, outputfile=None, header_values=None, row_tag='row')

Convert xml to csv.

Function is used for only testing and can handle the file of the size.

retriever.lib.engine_tools.xml2dict(data, node, level)

Convert xml to dict type.

retriever.lib.excel module

Data Retriever Excel Functions

This module contains optional functions for importing data from Excel.

class retriever.lib.excel.Excel

Bases: object

Excel class to handle excel values

static cell_value(cell)

Return string value of an excel spreadsheet cell.

static empty_cell(cell)

Test if excel cell is empty or contains only whitespace.

retriever.lib.fetch module

retriever.lib.fetch.fetch(dataset, file='sqlite.db', table_name='{db}_{table}', data_dir='.')

Import a dataset into pandas data frames

retriever.lib.get_opts module

retriever.lib.install module

retriever.lib.install.install_csv(dataset, table_name='{db}_{table}.csv', data_dir='.', debug=False, use_cache=True, force=False, hash_value=None)

Install datasets into csv.

retriever.lib.install.install_hdf5(dataset, file='hdf5.h5', table_name='{db}_{table}', data_dir='.', debug=False, use_cache=True, hash_value=None)

Install datasets into hdf5.

retriever.lib.install.install_json(dataset, table_name='{db}_{table}.json', data_dir='.', debug=False, use_cache=True, pretty=False, force=False, hash_value=None)

Install datasets into json.

retriever.lib.install.install_msaccess(dataset, file='access.mdb', table_name='[{db} {table}]', data_dir='.', debug=False, use_cache=True, force=False, hash_value=None)

Install datasets into msaccess.

retriever.lib.install.install_mysql(dataset, user='root', password='', host='localhost', port=3306, database_name='{db}', table_name='{db}.{table}', debug=False, use_cache=True, force=False, hash_value=None)

Install datasets into mysql.

retriever.lib.install.install_postgres(dataset, user='postgres', password='', host='localhost', port=5432, database='postgres', database_name='{db}', table_name='{db}.{table}', bbox=[], debug=False, use_cache=True, force=False, hash_value=None)

Install datasets into postgres.

retriever.lib.install.install_sqlite(dataset, file='sqlite.db', table_name='{db}_{table}', data_dir='.', debug=False, use_cache=True, force=False, hash_value=None)

Install datasets into sqlite.

retriever.lib.install.install_xml(dataset, table_name='{db}_{table}.xml', data_dir='.', debug=False, use_cache=True, force=False, hash_value=None)

Install datasets into xml.

retriever.lib.load_json module

retriever.lib.load_json.read_json(json_file)

Read Json dataset package files

Load each json and get the appropriate encoding for the dataset Reload the json using the encoding to ensure correct character sets

retriever.lib.models module

Data Retriever Data Model

This module contains basic class definitions for the Retriever platform.

retriever.lib.provenance module

retriever.lib.provenance.commit(dataset, commit_message='', path=None, quiet=False)

Commit dataset to a zipped file.

retriever.lib.provenance.commit_info_for_commit(dataset, commit_message, encoding='utf-8')

Generate info for a particular commit.

retriever.lib.provenance.commit_info_for_installation(metadata_info)

Returns a dictionary with commit info and changes in old and current environment

retriever.lib.provenance.commit_log(dataset)

Shows logs for a committed dataset which is in provenance directory

retriever.lib.provenance.commit_writer(dataset, commit_message, path, quiet)

Creates the committed zipped file

retriever.lib.provenance.install_committed(path_to_archive, engine, force=False, quiet=False)

Installs the committed dataset

retriever.lib.provenance.installation_details(metadata_info, quiet)

Outputs details of the commit for eg. commit message, time, changes in environment

retriever.lib.provenance.package_details()

Returns a dictionary with details of installed packages in the current environment

retriever.lib.provenance_tools module

retriever.lib.provenance_tools.get_metadata(path_to_archive)

Returns a dictionary after reading metadata.json file of a committed dataset

retriever.lib.provenance_tools.get_script_provenance(path_to_archive)

Reads script from archive.

retriever.lib.rdatasets module

retriever.lib.rdatasets.create_rdataset(engine, package, dataset_name, script_path=None)

Download files for RDatasets to the raw data directory

retriever.lib.rdatasets.display_all_rdataset_names(package_name=None)

displays the list of rdataset names present in the package(s) provided

retriever.lib.rdatasets.get_rdataset_names()

returns a list of all the available RDataset names present

retriever.lib.rdatasets.update_rdataset_catalog(test=False)

Updates the datasets_url.json from the github repo

retriever.lib.rdatasets.update_rdataset_contents(data_obj, package, dataset_name, json_file)

Update the contents of json script

retriever.lib.rdatasets.update_rdataset_script(data_obj, dataset_name, package, script_path)

Renames and updates the RDataset script

retriever.lib.repository module

Checks the repository for updates.

retriever.lib.repository.check_for_updates(repo='https://raw.githubusercontent.com/weecology/retriever-recipes/main/')

Check for updates to datasets.

This updates the HOME_DIR scripts directory with the latest script versions

retriever.lib.scripts module

retriever.lib.scripts.SCRIPT_LIST()

Return Loaded scripts.

Ensure that only one instance of SCRIPTS is created.

class retriever.lib.scripts.StoredScripts

Bases: object

Stored scripts class

get_scripts()

Return shared scripts

set_scripts(script_list)

Set shared scripts

retriever.lib.scripts.check_retriever_minimum_version(module)

Return true if a script’s version number is greater than the retriever’s version.

retriever.lib.scripts.get_data_upstream(search_url)

Basic method for getting upstream data

retriever.lib.scripts.get_dataset_names_upstream(keywords=None, licenses=None, repo='https://raw.githubusercontent.com/weecology/retriever-recipes/main/')

Search all datasets upstream by keywords and licenses. If the keywords or licenses argument is passed, Github’s search API is used for looking in the repositories. Else, the version.txt file is read and the script names are then returned.

retriever.lib.scripts.get_retriever_citation()

retriever.lib.scripts.get_retriever_script_versions()

Return the versions of the present local scripts

retriever.lib.scripts.get_script(dataset)

Return the script for a named dataset.

retriever.lib.scripts.get_script_citation(dataset=None)

Get the citation list for a script

retriever.lib.scripts.get_script_upstream(dataset, repo='https://raw.githubusercontent.com/weecology/retriever-recipes/main/')

Return the upstream script for a named dataset.

retriever.lib.scripts.get_script_version_upstream(dataset, repo='https://raw.githubusercontent.com/weecology/retriever-recipes/main/')

Return the upstream script version for a named dataset.

retriever.lib.scripts.name_matches(scripts, arg)

Check for a match of the script in available scripts

if all, return the entire script list if the exact script is available, return that script if no exact script name detected, match the argument with keywords title and name of all scripts and return the closest matches

retriever.lib.scripts.open_csvw(csv_file)

Open a csv writer forcing the use of Linux line endings on Windows.

Also sets dialect to ‘excel’ and escape characters to ‘'

retriever.lib.scripts.open_fr(file_name, encoding='utf-8', encode=True)

Open file for reading respecting Python version and OS differences.

Sets newline to Linux line endings on Windows and Python 3 When encode=False does not set encoding on nix and Python 3 to keep as bytes

retriever.lib.scripts.open_fw(file_name, encoding='utf-8', encode=True)

Open file for writing respecting Python version and OS differences.

Sets newline to Linux line endings on Python 3 When encode=False does not set encoding on nix and Python 3 to keep as bytes

retriever.lib.scripts.read_json_version(json_file)

Read the version of a script from a JSON file

retriever.lib.scripts.read_py_version(script_name, search_path)

Read the version of a script from a python file

retriever.lib.scripts.reload_scripts()

Load scripts from scripts directory and return list of modules.

retriever.lib.scripts.to_str(object, object_encoding=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF-8'>, object_decoder='utf-8')

Convert to str

retriever.lib.socrata module

retriever.lib.socrata.create_socrata_dataset(engine, name, resource, script_path=None)

Downloads raw data and creates a script for the socrata dataset

retriever.lib.socrata.find_socrata_dataset_by_id(dataset_id)

Returns metadata for the following dataset id

retriever.lib.socrata.socrata_autocomplete_search(dataset)

Returns the list of dataset names after autocompletion

retriever.lib.socrata.socrata_dataset_info(dataset_name)

Returns the dataset information of the dataset name provided

retriever.lib.socrata.update_socrata_contents(json_file, script_name, url, resource)

Update the contents of the json script

retriever.lib.socrata.update_socrata_script(script_name, filename, url, resource, script_path)

Renames the script name and the contents of the script

retriever.lib.socrata.url_response(url, params)

Returns the GET response for the given url and params

retriever.lib.table module

class retriever.lib.table.Dataset(name=None, url=None)

Bases: object

Dataset generic properties

class retriever.lib.table.RasterDataset(name=None, url=None, dataset_type='RasterDataset', **kwargs)

Bases: Dataset

Raster table implementation

class retriever.lib.table.TabularDataset(name=None, url=None, pk=True, contains_pk=False, delimiter=None, header_rows=1, column_names_row=1, fixed_width=False, cleanup=<retriever.lib.cleanup.Cleanup object>, record_id=0, columns=[], replace_columns=[], missingValues=None, cleaned_columns=False, number_of_records=None, **kwargs)

Bases: Dataset

Tabular database table.

add_dialect()

Initialize dialect table properties.

These include a table’s null or missing values, the delimiter, the function to perform on missing values and any values in the dialect’s dict.

add_schema()

Add a schema to the table object.

Define the data type for the columns in the table.

auto_get_columns(header)

Get column names from the header row.

Identifies the column names from the header row. Replaces database keywords with alternatives. Replaces special characters and spaces.

clean_column_name(column_name)

Clean column names using the expected sql guidelines remove leading whitespaces, replace sql key words, etc.

combine_on_delimiter(line_as_list)

Combine a list of values into a line of csv data.

get_column_datatypes()

Get set of column names for insert statements.

get_insert_columns(join=True, create=False)

Get column names for insert statements.

create should be set to True if the returned values are going to be used for creating a new table. It includes the pk_auto column if present. This column is not included by default because it is not used when generating insert statements for database management systems.

values_from_line(line)

Return expected row values

Includes dynamically generated field values like auto pk

class retriever.lib.table.VectorDataset(name=None, url=None, dataset_type='VectorDataset', **kwargs)

Bases: Dataset

Vector table implementation.

retriever.lib.templates module

Datasets are defined as scripts and have unique properties. The Module defines generic dataset properties and models the functions available for inheritance by the scripts or datasets.

class retriever.lib.templates.BasicTextTemplate(**kwargs)

Bases: Script

Defines the pre processing required for scripts.

Scripts that need pre processing should use the download function from this class. Scripts that require extra tune up, should override this class.

download(engine=None, debug=False)

Defines the download processes for scripts that utilize the default pre processing steps provided by the retriever.

process_archived_data(table_obj, url)

Pre-process archived files.

Archive info is specified for a single resource or entire data package. Extract the files from the archived source based on the specifications. Either extract a single file or all files. If the archived data is excel, use the xls_sheets to obtain the files to be extracted.

process_spatial_insert(table_obj)

Process spatial data for insertion

process_tables(table_obj, url)

Obtain the clean file and create a table

if xls_sheets, convert excel to csv Create the table from the file

process_tabular_insert(table_obj, url)

Process tabular data for insertion

class retriever.lib.templates.HtmlTableTemplate(title='', description='', name='', urls={}, tables={}, ref='', public=True, addendum=None, citation='Not currently available', licenses=[{'name': None}], retriever_minimum_version='', version='', encoding='utf-8', message='', **kwargs)

Bases: Script

Script template for parsing data in HTML tables.

class retriever.lib.templates.Script(title='', description='', name='', urls={}, tables={}, ref='', public=True, addendum=None, citation='Not currently available', licenses=[{'name': None}], retriever_minimum_version='', version='', encoding='utf-8', message='', **kwargs)

Bases: object

This class defines the properties of a generic dataset.

Each Dataset inherits attributes from this class to define it’s Unique functionality.

checkengine(engine=None)

Returns the required engine instance

download(engine=None, debug=False)

Generic function to prepare for installation or download.

matches_terms(terms)

Check if the terms matches a script metadata info

reference_url()

Get a reference url as the parent url from data url

retriever.lib.tools module

retriever.lib.tools.excel_csv(src_path, path_to_csv, excel_info=None, encoding='utf-8')

Convert an excel sheet to csv

Read src_path excel file and write the excel sheet to path_to_csv excel_info contains the index of the sheet and the excel file name

retriever.lib.tools.open_csvw(csv_file)

Open a csv writer forcing the use of Linux line endings on Windows.

Also sets dialect to ‘excel’ and escape characters to ‘'

retriever.lib.tools.open_fr(file_name, encoding='utf-8', encode=True)

Open file for reading respecting Python version and OS differences.

Sets newline to Linux line endings on Windows and Python 3 When encode=False does not set encoding on nix and Python 3 to keep as bytes

retriever.lib.tools.open_fw(file_name, encoding='utf-8', encode=True)

Open file for writing respecting Python version and OS differences.

Sets newline to Linux line endings on Python 3 When encode=False does not set encoding on nix and Python 3 to keep as bytes

retriever.lib.tools.to_str(object, object_encoding=<_io.TextIOWrapper name='<stdout>' mode='w' encoding='UTF-8'>, object_decoder='utf-8')

Convert encoded values to string

retriever.lib.tools.walk_relative_path(dir_name)

Return relative paths of files in the directory

retriever.lib.warning module

class retriever.lib.warning.Warning(location, warning)

Bases: object

Custom warning class

Indices and tables

• Index

• Module Index

• Search Page