Dataset generated for research on biological systems.

Datasets used in the presentation, "Towards Building a Collection of Web Archiving Research Articles." The files included here were used to conduct several Machine Learning classification experiments that result in a corpus of scholarly research articles on the topic of web archiving.

This dataset contains search queries and analysis discussed in the UNT Libraries' Resource Discovery Systems Usage Report.

Dataset containing four tab-delimited data files and associated code for analysis of data. Dataset represents record discoveries identified from Apache log files created by the UNT Digital Library platform. Record discoveries are for the UNT Scholarly Works Repository from May 2014 to January 2015.

This dataset contains raw search statistics and charts discussed in the UNT Libraries' Resource Discovery System Usage Report.

This dataset represents contains information regarding subscriptions purchased by UNT Libraries, along with pricing information for the 2013-14, 2014-15, 2015-16, 2016-17, and 2017-18 fiscal years.

This dataset contains survey results from librarians regarding their stance on American Library Association values and social justice in relation to LGBTQ issues.

Dataset generated for research on blood brain organic solute descriptors.

This dataset shows the results from a succession planning and mentoring survey conducted by UNT Libraries.

This dataset contains Twitter JSON data for Tweets related to the fire at Notre Dame Cathedral in Paris, France. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 8,046,185 Tweets and 163,055 media files make up the combined dataset.

Dataset generated for the retelling of the Pear Story by Daniel Tholung. The dataset includes a transcription with an English translation, flextext files (from Fieldworks Language Explorer), and accompanying derivative files including metadata to be used with SILs SayMore

This dataset includes data tables and graphs for the Accumulated Winter Season Severity Index (AWSSI) for Minneapolis, Minnesota during the December 2016-January 2017 winter with comparative charts for snow, temperature, and overall AWSSI.

This dataset includes data tables and graphs for the Accumulated Winter Season Severity Index (AWSSI) for Washington D.C. during the December 2016-January 2017 winter with comparative charts for snow, temperature, and overall AWSSI.

An EPA list of greenhouse gas reports.

This dataset includes data tables and graphs for the Accumulated Winter Season Severity Index (AWSSI) for Omaha, Nebraska during the December 2016-January 2017 winter with comparative charts for snow, temperature, and overall AWSSI.

This dataset includes data tables and graphs for the Accumulated Winter Season Severity Index (AWSSI) for Blue Hill Reservation (Massachusetts state Park) for the December 2016-January 2017 winter with comparative charts for snow, temperature, and overall AWSSI.

This dataset includes data tables and graphs for the Accumulated Winter Season Severity Index (AWSSI) for Anchorage, Alaska during the December 2016-January 2017 winter with comparative charts for snow, temperature, and overall AWSSI.

ETS Corpus of Non-Native Written English was developed by Educational Testing Service and is comprised of 12,100 English essays written by speakers of 11 non-English native languages as part of an international test of academic English proficiency, TOEFL (Test of English as a Foreign Language). The test includes reading, writing, listening, and speaking sections and is delivered by computer in a secure test center. This release contains 1,100 essays for each of the 11 native languages sampled from eight topics with information about the score level (low/medium/high) for each essay. The corpus was developed with the specific task of native language identification in mind, but is likely to support tasks and studies in the educational domain, including grammatical error detection and correction and automatic essay scoring, in addition to a broad range of research studies in the fields of natural language processing and corpus linguistics. For the task of native language identification, the following division is recommended: 82% as training data, 9% as development data and 9% as test data, split according to the file IDs accompanying the data set.

Dataset generated for research on bluegills.

Dataset generated for research on ionic liquids.

Dataset generated for research on blood fat.

Dataset generated for research on Daphnia pulex.

Dataset generated for research on blood brain.

Dataset generated for research on bluegills.