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-
- Type:
- Dataset
- Description/Abstract:
- The Dataset contains raw data that indicates the start and stop time of water flowing at fixtures in the Marian Spencer Hall Cafeteria restroom during hours of operation. The data were collected as part of an effort to develop and test a novel method of measuring flow to calculate the probability that the fixture is busy (fixture p-value). The fixture p-value is one of the parameters necessary to predict peak demand in buildings for pipe sizing purposes. There are two .csv files, a README file and a sample of the data collection template with contact information. The dataset also contains a MATLAB code written to accept data in the suggested format and estimate the fixture probability of use.
- Creator/Author:
- Choudhary, Chandrashekhar ; Omaghomi, Toju; Buchberger, Steven; Wang, Tianshuo, and Tao, Li
- Submitter:
- Toju Omaghomi
- Date Uploaded:
- 12/19/2022
- Date Modified:
- 12/19/2022
- Date Created:
- 2022-12
- License:
- Open Data Commons Open Database License (ODbL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/03/2022
- Date Modified:
- 11/17/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- Text and Metadata for 14,399 newspaper articles. Transcripts collected from Internet Archive Date Range: 2010-2022 File includes meta/data: - Unique-id (uid) - Title (incl. search term) - Date - Link (url) - Abstract - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- Text and Metadata for 9,061 newspaper articles. Newspapers included: New York Times, Wall Street Journal, & Washington Post Date Range: 2017-2022 File includes meta/data: - Unique-id (uid) - Title (incl. source paper & section name) - Date - Link (url) - Author - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 11/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/05/2022
- Date Modified:
- 11/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/03/2022
- Date Modified:
- 11/03/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/02/2022
- Date Modified:
- 11/02/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- Volume 53 (Fall 2022) of Cincinnati Romance Review. It includes ten articles and four book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/03/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2022
- License:
- Attribution 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- Volume 49 (Fall 2020) of Cincinnati Romance Review. It includes six articles and five book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/03/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2020
- License:
- Attribution 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- Vol. 48 (Spring 2020), Cincinnati Romance Review. It includes eight articles and two book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/01/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2020
- License:
- Attribution 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- Volume 46 (Spring 2019) of the academic journal Cincinnati Romance Review (RALL Department). It includes six research articles and nine book reviews.
- Creator/Author:
- Valladares-Ruiz, Patricia and Sanz Casasnovas, Olga
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/01/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2019
- License:
- Attribution 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- This is a biography of the Shawnee tribal chief Tecumseh. The early childhood of Tecumseh is researched all the way to his death at the Battle of Thames in 1813 in this biography that sticks to the truth and cites sources from different authors. Originally this research project was just a capstone project for a class but as the research accumulated, I found the need to create this biography about Tecumseh. Tecumseh made a confederation of like-minded tribes to combat the encroaching United States' government in the late 18th century and early 19th century. All the information that is presented in the biography has been researched and edited. With more than 50 hours of research involved with this biography, the historical contributions regarding The War of 1812 are noteworthy and the contributions made regarding the killer of Tecumseh are found in this biography as well. This isn't a complete overview of Tecumseh's life, but rather this biography details the life of a Shawnee in a time rich with civil strife during the expansion of the United States after the Northwest Ordinance of 1787. The Heritage Village Musuem in Sharonville, Ohio allowed for me to intern during the summer of 2022 to bolster the accuracy of this biography.
- Creator/Author:
- Ammon, Nathan
- Submitter:
- Nathan Ammon
- Date Uploaded:
- 09/08/2022
- Date Modified:
- 09/08/2022
- Date Created:
- 2022-08-18
- License:
- Public Domain Mark 1.0
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Image
- Description/Abstract:
- Box-and-Whisker visualization of coherence scores for three corpora types: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). This figure is for models matching search-term "climate". Visualizations for other search terms and additional interactive elements available at the related URL below. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/12/2022
- Date Modified:
- 08/12/2022
- Date Created:
- 2022
- License:
- Public Domain Mark 1.0
-
- Type:
- Image
- Description/Abstract:
- Box-and-Whisker visualization of topic coherence scores for three corpora types: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). This figure is for models matching search-term "climate". Visualizations for other search terms and additional interactive elements available at related URL below. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/12/2022
- Date Modified:
- 08/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Image
- Description/Abstract:
- Heat map visualization of median coherence scores for three corpora: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). Median coherence scores across all search-term based models ("climate", "earth", "environmental" "pollution") The median is found from 1,116 total coherence scores. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Public Domain Mark 1.0
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- This file contains poet metadata for a dataset of poems collected from Poetry Foundation. This metadata relates to a poetry corpus collected from Kaggle available on that site: https://www.kaggle.com/datasets/ultrajack/modern-renaissance-poetry Sean Ayres collected publication metadata and generated other relevant metadata fields based on his subject matter expertise. The original Kaggle poetry dataset contains approximately X lines of poetry. The metadata for this dataset references X poets
- Creator/Author:
- Ayres, Sean and McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 07/11/2022
- Date Modified:
- 07/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- This file contains book metadata for a Project Gutenberg dataset of poetry metadata. This metadata relates to a poetry corpus collected by Allison Parrish available on GitHub: https://github.com/aparrish/gutenberg-poetry-corpus Sean Ayres collected the publication metadata and generated other relevant metadata fields based on his subject matter expertise. The poetry dataset contains approximately three million lines of poetry The metadata for the dataset references X hundreds of books.
- Creator/Author:
- Ayres, Sean; McCabe, Erin E., and Parrish, Allison
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 07/11/2022
- Date Modified:
- 07/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Student Work
- Description/Abstract:
- This essay investigates the complex subject matter and the significance of Félix Bracquemond’s etching Le Haut d’un battant de porte (The Top of a Door) through a biographical approach, visual analysis, and examination of the artist’s creative process and intentions. The investigation demonstrates that this etching is not only unusual for its clarity, but also for its ambiguity. The seemingly contradictory yet complementary characteristics – clarity and ambiguity – coexist in this work. It is the coexistence and interaction of clarity and ambiguity that makes this work more significant and intriguing.
- Creator/Author:
- Lai, Sufang
- Submitter:
- Sufang Lai
- Date Uploaded:
- 03/31/2022
- Date Modified:
- 04/21/2022
- Date Created:
- 2022-04-20
- License:
- All rights reserved
-
- Type:
- Document
- Description/Abstract:
- Art History Thesis
- Creator/Author:
- Kumar, Mika
- Submitter:
- Mika Kumar
- Date Uploaded:
- 04/20/2022
- Date Modified:
- 04/20/2022
- Date Created:
- 2022-04-21
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Document
- Description/Abstract:
- TEST
- Creator/Author:
- Kumar, Mika
- Submitter:
- Mika Kumar
- Date Uploaded:
- 03/31/2022
- Date Modified:
- 04/08/2022
- License:
- All rights reserved
-
- Type:
- Document
- Description/Abstract:
- This project analyzes a print from the UC Art Collection called “Dusty Millers” and the amateur artist that created it. Diving into the artist’s biography and relations, this project first aims to understand how the amateur artist went about studying printmaking and how he became an important advocate for the medium in London. Secondly, the project discusses artistic influences from the 19th century that inspired his style and subject matter of his prints that include depictions of rural landscapes and daily labors.
- Creator/Author:
- Roades, Gracie
- Submitter:
- Gracie Roades
- Date Uploaded:
- 04/08/2022
- Date Modified:
- 04/19/2022
- Date Created:
- 2022-04-07
- License:
- All rights reserved
-
- Type:
- Document
- Description/Abstract:
- This document is supplemental materials for the book chapter "Playing in the Same Sandbox: Collaborations on Data Management, Research Technologies, and Research Computing" in the book Cases on Establishing Effective Collaborations in Academic Libraries authored by Amy Koshoffer and Amy Latessa
- Creator/Author:
- Koshoffer, Amy
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 04/18/2022
- Date Modified:
- 04/18/2022
- Date Created:
- 2022-04-18
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- Draft of capstone class final project. Includes file of images and wall labels for DRAFT of the exhibition. Includes prints from the UC art collection from the 16th century, 17th century, 18th century, 19th century, and 20th century. The representation of architecture within art is a main theme for artists of all time periods. Within the UC Art Collection, prints display different stylistic approaches from abstract to realistic when portraying architecture. This exhibit will display five prints that compare and contrast the idea of stylistic approach. By viewing these artworks, there is the question as to why artists chose to portray the two types differently. Does the style dictate the importance or function of the architecture? Through exploration, one could say that there is a correlation between the type of architecture and its stylistic rendering. When viewing the examples of the collection, architecture that is considered monumental, such as cathedrals or government buildings, seem to be portrayed with realistic detailing and perspective, leaving no room for artistic expression in the portrayal. On the other hand, common architecture is portrayed with more abstraction but allows more freedom of expression from the artist to interpret the structure. Is one better than the other or do these two separate approaches give their subjects individualized attention to their charms?
- Creator/Author:
- Roades, Gracie
- Submitter:
- Gracie Roades
- Date Uploaded:
- 03/31/2022
- Date Modified:
- 04/07/2022
- Date Created:
- 2022-03-31
- License:
- All rights reserved
-
- Type:
- Dataset
- Description/Abstract:
- The NATO and the EU Peacebuilding Missions Dataset is created to use fuzzy seta Qualitative Comparative Analysis (fsQCA) analysis as a method of researching how NATO and the EU missions’ outcomes are influences by organizational assets and decision-making in both organizations. Outcome pertaining to these two sets of missions are intended to measure various aspects of organizational efficacy. There are two groups of variables – condition variables and outcome variables. In the next few sections, we will explain how these two groups of variables were generated, what existing sources and datasets were used and how mission indicators were generated. See attached research note for more detailed information. Condition Sets: Description By and large, conditions sets that have been generated measure organizational assets for these NATO and EU missions, as well as patterns in their decision-making process. Two critical organizational assets used for both sets of missions are their annual operational budget and their annual deployed personnel. The dataset contains two control variables measuring operational legitimacy – number of contributing nations and number of UN resolutions passed in relevance to the situation in the area of deployment for the duration of the EU and NATO Mission. Operational Duration – duration of the operation (in months). For ongoing missions and operations, we have used December 31, 2019 as the end date. All data reflect occurrences no later than December 31, 2019. Type of Operation – based on their mandate, operations are classified as civilian (coded as 0), military (coded as 1) and hybrid (i.e. with military and civilian components, coded as 0.5). Annual Operational Budget – total annual mission budget in USD. Sources include SIPRI yearbook and peace operations database. In cases of missing data from the SIPRI yearbook, mission factsheets and original data from the mission have been used. This latter technique applies for the following missions: AMUK, AVSEC, BAM1, BAM2, CAP1, CAP2, MAM1, NAVF1, NAVF2, TMC1, EUAMI. If data is reported in EUR, average exchange rate for the duration of the mission has been used to convert the cost. Data has been adjusted to reflect operational budget over a 12-month period. Average Annual Mission Personnel – it reflects the average total number of personnel/ staff supporting the NATO or EU peacebuilding mission per annum. Sources have been collected from SIPRI yearbook based on reportings for actual deployments on the ground. In cases when no data has been reported I the SIPRI yearbook/ peace operations dataset, mission factsheets and original data from the mission have been used. The data has been averaged and adjusted for a 12-month period. Days to Launch – describes the number of days needed from the time a decision has been made by the IO top decision-making body (the European Council and NAC) to launch the mission to the time that the mission is officially declared “operational.” If no declaration that the mission is “fully operational” exists, landmark indicators that the mission is fully operational include: ceremony on the ground marking the beginning of the mission, the appointment of mission commander or first recoded operational presence involving activity on the ground. Sources include official EU and NATO documents announcing the decision to create the peacebuilding operation as well as official documents, press releases and reports in reliable media outlets (including New Agencies) documenting an event that would indicate the mission is “fully operational.” Number of Contributing Nations –highest reported number of contributing nations for the duration of the NATO and the EU peacebuilding operation. UN Security Council Resolutions – total number of UN Security Council (UNSG) resolutions relevant for the area of conflict adopted for the duration of the NATO and the EU mission. In cases when UNSC resolutions are relevant for multiple NATO and EU peacebuilding missions those have been reported to all relevant missions. Outcome Sets: Description Outcome sets include various indicators created to measure operational efficacy. They include annual events contributing toward peace, conflict and the mission’s functioning, annual fatalities and annual deaths among mission personnel, as well as annual difference in fatalities. A more detailed description of these indicators is included below: Annual Peace Events – this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have contributed for the peace process in the conflict area where NATO and EU mission have been deployed. Examples of peace events include steps taken to contribute to the peace process (e.g. creation of buffer zone, cession of hostilities, meeting intended to cease fire or set up the peace process, political events related to or contributing toward the peace process and successful conclusion of a peace agreement. It may also include a decision of an international body (e.g. UN Security Council, UN General Assembly or UN Secretary General, as well as a decision made by the NATO and the EU D-M bodies that contributes toward the peace process in the areas where the mission operates. For ongoing missions is December 31, 2017 the last date when annual peace events are recoded. Annual Conflict Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have increased the conflict and the conflict potential in the area where NATO and EU mission have been deployed. Instances include resumption of hostilities among warring parties, occurrence of attacks, clashes, eruption of violence, the killing of civilians, military and peacemaking personnel and other violence-related events that contribute toward instability in the mission’s area. For ongoing missions is December 31, 2017 the last date when annual conflict events are recoded. Annual Mission-related Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that measures events related to functioning of the mission – the decision to launch, the actual launch, implementation, transfer of authority and/ or mandate, transformation and termination of the mission. It also includes events that reflect decisions made by the contributing nations or sponsoring IOs intended to impact mission’s performances (e.g. decisions related to funding, control and command, transformation of mission mandate and rules and other similar events). For ongoing missions is December 31, 2017 the last date when annual mission-related events are recoded. Average Annual Fatalities – this indicator reports how many average annual civilian deaths have been recorded for the duration of the mission. The data is drawn from the Armed Conflict Dataset (ACD) managed by the London-based International Institute for Strategic Studies ( https://acd.iiss.org/member/datatools.aspx). Average Annual Mission Casualties – average annual number of deaths among peacebuilding personnel as reported in SIPRI yearbook/ peace operations database for the duration of the mission. Authors have used discretion to determine the accuracy in cases when there is discrepancy of reported data. Fatalities Annual Difference – an indicator of differenced annual data of civilian casualties on the ground for the duration of the mission. The indicator is calculated as follows: Differenced Fatalities = Ʃ (CasualtiesY1-Y2 … Casualties Yn-Y(n-1))/ Duration of the mission (in years). It is intended to capture improvement of situation on the ground as a result of presence of the peacebuilding effort. Condition Sets: Calibration and Rationale Annual Operational Budget – mission budget reflects resources USD 5 million or less indicate fully out while USD 100 million or more would indicate fully in. A budget of USD 30 should be the watershed borderline of “nether in, not out.” [5-100 million] Average Annual Mission Personnel – this indicator draws distinction between larger well-resourced missions and smaller missions with limited assets. By and large, missions with 20 personnel or less are fully out, while those with 20,000 or more are fully in. The borderline (net hither in, not out) is 130 people. Days to Launch – the speed with which the decision is taken indicates how decision-making operated in the case of this mission. D-M that took 5 days or less should be fully out (in, change direction) while D-M 150 days or more should be fully in (out, change direction). 30 days (1 month) should be the neither in, nor out border. Number of Contributing Nations –control indicator that demotes how high number of contributing nations contribute toward greater legitimacy (30 or more countries marks fully in), while 5 or fewer nations marks fully out. The “nether fully in, nor fully out” is at 15 nations. UN Security Council Resolutions – total number of UNSC resolutions can vary, fully out is at 0 resolutions while fully in at 50 or more. Since moist of the missions are shorter, Nether fully in, not fully out would be at 8 UNSC resolutions. [Inductive] Operational Duration – 1 year (12 months) denotes fully out (i.e. short-term mission) while 10 year 120 months denotes fully in; nether in not out would be for missions lasting 5 years (60 months). In other words, a decade is too long, a year is to short, five years is in the middle. Outcome Variables: Calibration and Rationale Annual Peace Events – this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 3 events per annum is fully in. 0.8 event is nether in not out. Annual Conflict Events -- this variable measures the occurrence of conflict-related events – 0 events per annum is fully out; 4 events per annum is fully in. 1 event is nether in not out. Annual Mission-related Events -- this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 1 events per annum is fully in. 0.3 event is nether in not out. Average Annual Fatalities – this set measures average number of annual fatalities for the duration of the mission. Cases with 0 fatalities are fully out; cases with 10,000 fatalities are fully in. 1,000 fatalities represent “nether in, not out” value. Fatalities Annual Difference – this is an indicator that measures the average year-to-year difference in number of fatalities for the duration of the conflict. -50 casualties is fully out (i.e. average growth of casualties by 50 per annum) as this indicator reflects low mission efficacy. 500 is fully in. This number indicates high efficacy; it denotes an average annual decline of casualties by 500 people. If the average number of casualties remains unchanged, then 0 denotes nether in, nor out. Average Annual Mission Casualties – this indicator measures average number of annual casualties for the duration of the mission. 0 casualties is fully out; 500 casualties is fully in. 0.5 is nether in, nor out.
- Creator/Author:
- Ivanov, Ivan
- Submitter:
- Ivan Ivanov
- Date Uploaded:
- 08/04/2019
- Date Modified:
- 10/15/2021
- Date Created:
- 2019-08-01
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Article
- Description/Abstract:
- An expanded version of "The Future of Conflict: Neurowarfare", both of which discuss emerging neurotechnology, neuroscience, and their implications for war, politics, medicine, ethics, and society.
- Creator/Author:
- Turner, Grant
- Submitter:
- Grant Turner
- Date Uploaded:
- 10/15/2021
- Date Modified:
- 10/15/2021
- Date Created:
- 2021-10-02
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
-
- Type:
- Article
- Description/Abstract:
- Article about Crosley Tower on University of Cincinnati's campus.
- Creator/Author:
- Simpson, Scott
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2020
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- The Corbett House kitchen and John Becker Residence, both notable Cincinnati kitchens.
- Creator/Author:
- Snadon, Patrick and Meyer, Elizabeth A.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2018
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- Sculpture and Art in the Terrace Plaza Hotel and Public Library of Cincinnati Hamilton County
- Creator/Author:
- Snadon, Patrick and Meyer, Elizabeth A.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2018
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- Scandals in newspapers of Frank Lloyd Wright
- Creator/Author:
- Snadon, Patrick and Meyer, Elizabeth A.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2018
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- House designed by deKoven Hill in Cincinnati's Hyde Park neighborhood
- Creator/Author:
- Snadon, Patrick and Meyer, Elizabeth A.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2018
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- Bibliography and Sources for further research
- Creator/Author:
- Meyer, Elizabeth A. and Snadon, Patrick
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2018
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- An article about Crosely Tower on University of Cincinnati's campus
- Creator/Author:
- Meyer, Elizabeth A. and Simpson, Scott
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2020
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- Article about Frank Lloyd Wright's designed house in Indian Hill, Ohio
- Creator/Author:
- Meyer, Elizabeth A.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 09/22/2021
- Date Modified:
- 09/22/2021
- Date Created:
- 2018
- License:
- All rights reserved
-
- Type:
- Dataset
- Description/Abstract:
- This CSV file contains the topic distribution of each EIN as uncovered using six parallel Latent Dirichlet Allocation (LDA) Topic Models. Each row depicts a topic and topic-score associated with an Ohio NPO (identified by Employer Identification Number) generated from one model run. The sum of topic scores possible for every row associated with an EIN therefore will not exceed 6.0 (6 models x 100%) Topic scores below .01 (1%) are not included. Each topic from the models is further identified as Essential/Non-Essential by subject matter expert, Dr. Michael Jones, guided by the official IRS definition. The topic models are generated on unstructured text language from the mission statement and activities language taken from the 2019 tax forms of Ohio non-profit organizations.
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 05/06/2021
- Date Modified:
- 09/20/2021
- Date Created:
- 2020-10-03
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- Theme Coded Literature Review - Does China's One-China Policy Shape China's Foreign Policy?
- Creator/Author:
- Turner, Grant
- Submitter:
- Grant Turner
- Date Uploaded:
- 07/23/2021
- Date Modified:
- 07/23/2021
- Date Created:
- 2019
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Dataset
- Description/Abstract:
- List of plant species recognized as invasive in the Midwest Invasive Plant Network (MIPN), and either regulated or informational. Shown are their method of introduction (intentional vs. accidental), and if intentional, whether it be introduced by ornamental, erosion control, feed/fodder/crops, aquarium trade, and/or medicinal or culinary uses. This was determined from a review of online sources and the scientific literature, and comparison to the dissertation by Sarah Reichard (1994).
- Creator/Author:
- Culley, Theresa and Feldman, Tziporah
- Submitter:
- Theresa Culley
- Date Uploaded:
- 07/05/2021
- Date Modified:
- 07/05/2021
- Date Created:
- July 1, 2021
- License:
- Open Data Commons Attribution License (ODC-By)
-
- Type:
- Document
- Description/Abstract:
- This paper explores the question of why it is important to apply culturally responsive teaching within the classroom, through creativity. Teaching diversity exposes students to a variety of cultural and social groups. This educational experience prepares students to become better citizens, within their communities. Through the creative process, students will examine topics which, both, encompass and promote diversity. Additionally, students will be able to construct their own independent, inclusive environment, through art making; this increase in diversity education relates not only to the race and ethnicity of our students, it also includes religion, economic status, gender identity, language background, and more. Adopting inclusion and awareness around multicultural education and taking a culturally responsive approach to teaching is a benefit to both students and instructors. Not only does creating a better multicultural awareness and inclusive environment help students with different backgrounds and needs succeed, but it encourages acceptance and helps prepare students to thrive in a diverse world. Keywords: cultural diversity, curriculum, teaching, art, social reconstructionism
- Creator/Author:
- Sydney Barth; Courtney Moreland, and Mahnaz Amin Foroughi
- Submitter:
- smith4kk@ucmail.uc.edu
- Date Uploaded:
- 05/18/2021
- Date Modified:
- 05/18/2021
- Date Created:
- 2021-04-22
- License:
- All rights reserved
-
- Type:
- Dataset
- Description/Abstract:
- Classifier algorithms use the features (collectively known as Feature Vectors) of each item in a dataset to assess the classification to which that item belongs. In this classifier approach, each item represents one document containing the application essay combined with unstructured language describing relevant activities of a single applicant. For privacy, the full text of this document is not provided. Instead, each document is represented only by its features. The feature vector for this classifier is based on the term frequency for each of the identified terms. E.G. Doc_A contains 0 occurrences of any terms identified as family medicine vocabulary, and 10 occurrences of terms from the the non-family-medicine vocabulary.
- Creator/Author:
- Boylan, Andrew and McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 05/14/2021
- Date Modified:
- 05/14/2021
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Dataset
- Description/Abstract:
- W2V takes terms from a large corpus of text and models them onto a vector space, based on word associations from your dataset. These Word Associations take into account each word's immediate context (its ten neighboring words). Following the data modeling (large-scale unstructured text), The platform then generates a visualization of this vector space, which lets us perform analysis e.g. detect synonymous/synonym-ish words and highlight related words. At the heart of this project, is W2V's ability to identify key words that were more frequent - and more unique - to each group using results from 2 different W2V models – one for each group's application texts. We coded these Key Terms into categories, then analyzed those categories for overarching themes.
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 05/14/2021
- Date Modified:
- 05/14/2021
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
-
- Type:
- Document
- Description/Abstract:
- Empathy is an essential aspect for all facets of an educational system, specifically in art classrooms. Lack of empathy and collaborative skills can cause issues in relations and classroom management throughout the school year. Utilizing resources such as group lessons, community activities, and classroom reflections can allow for the kind of collaboration needed for students, teachers, and all those involved in a school system to succeed in their endeavors.
- Creator/Author:
- Celesti, Oliva and Hughes, Jennah
- Submitter:
- smith4kk@ucmail.uc.edu
- Date Uploaded:
- 05/07/2021
- Date Modified:
- 05/07/2021
- Date Created:
- 2021-04-22
- License:
- All rights reserved
-
- Type:
- Document
- Description/Abstract:
- The education field has historically underrepresented teachers based on gender, race, and sexual orientation. This has led to a severe lack of diversity in the field. By utilizing professional workshops, educators will have greater awareness of barriers that have caused such underrepresentation. Educators will be given tools to reflect on how this facet of the educational system can be improved.
- Creator/Author:
- Gray, Joe and Odaka, Haely
- Submitter:
- smith4kk@ucmail.uc.edu
- Date Uploaded:
- 05/07/2021
- Date Modified:
- 05/07/2021
- Date Created:
- 2021-04-22
- License:
- All rights reserved
-
- Type:
- Article
- Description/Abstract:
- In the 1960"s and 1970', when most of these unfinished essays were written, I was a free thinking architecture student who perceived a fundamental disconnect within diverse institutions, including Architecture and Education and Money - Banking. I had an intuitive feeling that architecture is more than a visual aesthetic, rather a holistic social experience. The everyday objects with which we interact are an integral part of our social disposition and social wellbeing. The attempt is to develop a method for understanding some previously largely ignored aspects of environmental design – the role of Common Objects as a communication facilitator.- Eric M. Lee
- Creator/Author:
- Lee, Eric M.
- Submitter:
- Elizabeth A. Meyer
- Date Uploaded:
- 04/20/2021
- Date Modified:
- 04/21/2021
- Date Created:
- 1960
- License:
- All rights reserved
-
- Type:
- Document
- Description/Abstract:
- Cincinnati has one of the lowest home ownership rates in the country for cities of comparable size. Several other cities with low rates of home ownership in 1970 have managed to increase their rates two to four percent over the past 25 years, but the home ownership rate in Cincinnati has been stable over that period at 38 percent. The best explanation for Cincinnati’s low home ownership rate is that the topography of the city encouraged dense development involving multiple-unit structures up until World War II. When the highway programs of the post-war period opened up the suburbs to development, the city was already built-out and could not compete for new single-unit construction that the federal government was subsidizing on a massive scale. In the last 50 years, the Hamilton County suburbs have gained 140,000 owners while the number of owners in the city has decreased by 1,000. As a result, the home ownership rate in the Cincinnati metropolitan area is greater than the national rate for areas of comparable size (63 percent versus 61 percent) while the rate in the city is far less than the national rate. The City of Cincinnati faces a number of challenges in any effort to increase its home ownership rate. Government programs in other cities typically produce dozens of units a year, not the hundreds of units that Cincinnati needs to produce. In order to achieve even a modest increase in home ownership, the city will have to alter market forces in the direction of increased supply of housing suitable for owner-occupancy and increased demand for home ownership. In order to increase its rate of home ownership to 41 percent by the year 2010, the City of Cincinnati needs to adopt a four-part strategy: Increase the Supply of Units The market cannot produce new units on its own. The city needs to assemble and prepare sites in order to reduce the additional costs associated with building in the city as opposed to the suburbs. City Hall must continue to eliminate barriers to development and provide new services to builders. Cincinnati will not be able to increase the number of middle-class owners without creating new neighborhood areas with the appropriate mix of amenities. At the lower end of the owner-market, the city needs to move aggressively to convert abandoned structures into units people will want to buy and rehabilitate. Help Renters Become Owners While converting renters to owners is an essential component of an overall strategy, the City of Cincinnati must recognize that not everyone can be an owner and target its resources appropriately. The city does not have unlimited funds to change the cost equation of owning a home and will, therefore, have to learn from other cities how to work with lending institutions to increase the flow of dollars under Community Reinvestment Act initiatives. Other cities have had some limited success with programs to convert people renting duplex and condo units into owners. The city needs to increase the availability, extent and quality of education and counseling programs. Attract New Households to the City The city has to market its neighborhoods, and in some cases, smaller areas within neighborhoods. This will require market research, training programs for Realtors, investments in street furniture, increased services, publications extolling city neighborhoods, and programs comparable to the Living in Cleveland program. The city needs to start working cooperatively with the Cincinnati Public Schools. Specific market niches in which the city can hope to compete very successfully include the empty nesters, the gay and lesbian community, first time buyers, and people interested in downtown living. Maintain the Existing Pool of Owners About 75 percent of the time a home owner in Cincinnati sells and buys another home in the Cincinnati area, the home purchased will be in the suburbs. The city must create opportunities for the home seller to move up without moving out of the city. In addition to the above strategies, which involve the central city market, the City of Cincinnati needs to actively promote strategies that will help slow the rate of suburbanization and that will create low income housing opportunities in the suburbs. If suburbanization continues at the current rate, and if the city continues to be the governmental unit with de facto responsibility for low income housing, there is every reason to wonder if there is anything that the city can do to increase its rate of home ownership.
- Creator/Author:
- Howe, Steven
- Submitter:
- Steven Howe
- Date Uploaded:
- 02/05/2019
- Date Modified:
- 05/23/2019
- Date Created:
- 1996-12
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Media
- Description/Abstract:
- This webinar was a part of the Data and Computation Science Series. It occurred on March 4, 2021, at 2:00 pm EST. Presenter Bio for Ashley Farley: Over the past decade, Ashley has worked in both academic and public libraries, focusing on digital inclusion and facilitating access to scholarly content. She completed her Masters's in Library and Information Sciences through the University of Washington’s Information School. Ashley is a Program Officer of Knowledge and Research Services at the Bill and Melinda Gates Foundation. In this capacity, she leads the foundation’s Open Access Policy’s implementation and associated initiatives. This includes leading the work of Gates Open Research, a transparent and revolutionary publishing platform. Other core activities involve supporting the strategic and operational aspects of the foundation’s library. This work has sparked a passion for open access, believing that freely accessible knowledge has the power to improve and save lives.” Title of Presentation: Open Research: Making Harmful Habits History
- Creator/Author:
- Farley, Ashley
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 03/05/2021
- Date Modified:
- 03/09/2021
- Date Created:
- 2021-03-04
- License:
- Attribution 4.0 International
-
- Type:
- Document
- Description/Abstract:
- All models and corresponding network visualizations are generated from documents in the CORD-19 dataset as of July 14, 2020. All annotations in red were added by the research team. Note: These topic models are included here as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 02/26/2021
- Date Modified:
- 02/26/2021
- Date Created:
- 2020
- License:
- CC0 1.0 Universal
-
- Type:
- Document
- Description/Abstract:
- All models and corresponding network visualizations are generated from virus related documents in the CORD-19 dataset as of July, 2020. All annotations in red were added by the research team. Note: Coronavirus topic models are included in the text of this article and are included here only as additional reference and to append links to interactive versions on the Digital Scholarship Center’s machine learning platform for further exploration.
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 02/26/2021
- Date Modified:
- 02/26/2021
- License:
- CC0 1.0 Universal
-
- Type:
- Dataset
- Description/Abstract:
- This dataset contains quantitative and qualitative data about the archaeological remains of fish-salting and fulling workshops throughout the ancient Mediterranean world (Europe, North Africa, and Western Asia), primarily dating to the Roman period. The data provided the basis for the two case studies in the author's dissertation (Motz, C.F. 2021. "The Knowledge Networks of Workshop Construction in the Roman World." Ph.D. diss., University of Cincinnati). The tables contained in this dataset were exported from the author's FileMaker database. Detailed information about the structure and contents of this dataset may be obtained by consulting Chapter 2 of the author's dissertation.
- Creator/Author:
- Motz, Christopher
- Submitter:
- Christopher Motz
- Date Uploaded:
- 02/18/2021
- Date Modified:
- 02/18/2021
- Date Created:
- 2021
- License:
- Open Data Commons Open Database License (ODbL)
-
- Type:
- Article
- Description/Abstract:
- This paper presents a prime aspect of Augmented and Virtual Reality development in the field of healthcare. We explored several recent works and articles and a comparison between generic application development and immersive technology-based application is included. The paper talks about more practical approaches that can be taken to enhance the effectiveness of the application. The resources (infrastructure) to complete this study are provided by the University of Cincinnati’s Center for Simulation and Virtual Environment Research (UCSIM). And several experiments and projects in the field of health care are used as a reference to make conclusions.
- Creator/Author:
- Ajmera, Himanshu and Gonen, Bilal
- Submitter:
- Himanshu Ajmera
- Date Uploaded:
- 07/22/2019
- Date Modified:
- 01/30/2021
- Date Created:
- 2019-05-08
- License:
- All rights reserved
-
- Type:
- Generic Work
- Description/Abstract:
- The files in this work represent the presentations and workshop content from the 5th UC Data Day held 2020-10-23. The theme was “World Changing Data: How Digital Data Will Change Our Future”. The Keynote speaker was Glenn Ricart, of US Ignite - "Smart Runs on Data" Interactive Panel featuring: Michael Dunaway (moderator) - Whitney Gaskins (Asst Dean, CEAS - Incl Excellence & Comm Engagmnt) - Zvi Biener (Assoc Professor, A&S Philosophy) - Prashant Khare (Asst Professor, CEAS - Aerospace Eng & Eng Mechanics)- Sam Anand (Professor, CEAS - Mechanical Eng) - Achala Vagal (Professor Clinical - GEO, COM Radiology Neuroradiology) Power Sessions: George Turner - Indiana University - High-Performance Computing at UC Erin McCabe - University of Cincinnati - Text Mining, Natural Language Processing & AI link to slides - https://bit.ly/dataday_slides link to code - https://bit.ly/dataday_code Videos of the day can be found on the UC Libraries STRC1 youtube channel - https://www.youtube.com/c/STRC1/videos
- Creator/Author:
- Koshoffer, Amy
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 11/03/2020
- Date Modified:
- 12/04/2020
- Date Created:
- 2020-10-23
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- Data collected to identify use of special education vouchers in OH, GA and FLA and if information provided regarding loss of least restrictive environment civil rights.
- Creator/Author:
- Hulgin, K. and Fitch, E. F.
- Submitter:
- Kathleen Hulgin
- Date Uploaded:
- 11/19/2020
- Date Modified:
- 11/19/2020
- Date Created:
- 2019-11-01
- License:
- Public Domain Mark 1.0
-
- Type:
- Dataset
- Description/Abstract:
- The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
- Creator/Author:
- Koshoffer, Amy; Hagedorn, Philip ; Latessa, Jenny; Lee, James; Power, Margaret; Luken, Sally; McCabe, Erin; Wu. Danny; Washington, Dorcas; Kannayyagar, Suraj, and Edgerton, Ezra
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 10/29/2020
- Date Modified:
- 11/05/2020
- Date Created:
- 2020-07
- License:
- CC0 1.0 Universal
-
- Type:
- Dataset
- Description/Abstract:
- The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
- Creator/Author:
- Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Lee, James; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Kannayyagar, Suraj, and Powers, Margaret
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 10/29/2020
- Date Modified:
- 11/05/2020
- Date Created:
- 2020-07
- License:
- CC0 1.0 Universal
-
- Type:
- Dataset
- Description/Abstract:
- The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
- Creator/Author:
- Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Kannayyagar, Suraj; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Lee, James; Powers, Margaret, and Hagedorn, Philip
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 10/30/2020
- Date Modified:
- 11/05/2020
- Date Created:
- 2020-07
- License:
- CC0 1.0 Universal
-
- Type:
- Student Work
- Description/Abstract:
- Environmental Engineering Senior Design Project Report. Project Sponsor: Richard Stuck (Greater Cincinnati Water Works).
- Creator/Author:
- Xia, Qianhui; Cummings, Matthew; Adams, Dexter, and Caspersz, Bethany
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 09/21/2020
- Date Modified:
- 09/22/2020
- Date Created:
- 2018-04-19
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Student Work
- Description/Abstract:
- Environmental Engineering Senior Design Project Report. Project sponsor: Mike Geers (Duke Energy).
- Creator/Author:
- Tumbleson, Rachel; Belisario, Kristen, and Stone, Chris
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 09/21/2020
- Date Modified:
- 09/22/2020
- Date Created:
- 2020-04-17
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- This data set is associated with: Turner, G. W. (2014). Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati. University of Cincinnati. https://doi.org/10.7945/2hmt-1h17.
- Creator/Author:
- Turner, Grant
- Submitter:
- Grant Turner
- Date Uploaded:
- 08/30/2020
- Date Modified:
- 08/30/2020
- Date Created:
- 2014
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
-
- Type:
- Document
- Description/Abstract:
- In this proposal for a National Service Learning Academy and complimentary Action Research Program, several curricula configurations are put forth. The first is a full-blown action research major that partially dictates the appropriate courses to take fulfilling the A&S core requirements and the majority of free electives. The second is a minor/certificate in action research. The third is an alternative set of core courses that would replace the credit hours traditionally reserved for the A&S core requirements, enabling any student to tack on the action research experience to their chosen major while still having credit hours available to pursue other minors, certificates, or electives. The fourth is an alternative core that is based more heavily on applied courses and knowledge.
- Creator/Author:
- Turner, Grant
- Submitter:
- Grant Turner
- Date Uploaded:
- 08/30/2020
- Date Modified:
- 08/30/2020
- Date Created:
- 2014
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
-
- Type:
- Media
- Description/Abstract:
- This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on August 24, 2020, at 2:00 pm EDT. Presenter Bios: Sheila Rabun is the ORCID US Community Specialist at LYRASIS, providing dedicated support for institutions adopting ORCID (including University of Cincinnati). Sheila has a background in academic libraries, with a focus on digital workflows, research support, and advocating for interoperability in academia and scholarly communication workflows. Learn more about Sheila at https://orcid.org/0000-0002-1196-6279 Melissa Jacquart is an Assistant Professor in the Philosophy Department at the University of Cincinnati and Associate Director for the Center for Public Engagement with Science. Her research focuses on epistemological issues in the philosophy of science, specifically on the use of models and computer simulations in astrophysics. Her research also examines the role philosophy can play in general public understanding of science, and in science education. She also works on ethics & values in science, science policy, feminist philosophy, and educational best practices. Prior to Cincinnati, she was a postdoctoral fellow at the University of Pennsylvania and the Carnegie Observatories. She has also worked for the National Science Foundation Directorate of Social, Behavioral, and Economic Sciences. She received her PhD, MA in Philosophy from The University of Western Ontario (Canada) and has a BS in Astronomy-Physics, Physics, and Philosophy from The University of Wisconsin-Madison.
- Creator/Author:
- Shelia Rabun; Melissa ; Mark Chalmers, and Rebecca Olson
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 08/25/2020
- Date Modified:
- 08/25/2020
- Date Created:
- 2020-08-24
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
-
- Type:
- Media
- Description/Abstract:
- This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on August 10, 2020, at 2:00 pm EDT. Presenter Bios: Lawrence Bennett, Fire & EMS Law, https://doi.org/10.7945/yex7-xj45 Larry is an educator who has worked with Fire departments all over the nation. A noted educator, his textbook is used by professional groups and universities. Abigail Goben, MLS, is an Associate Professor, Data Management Librarian, and Research Data Policy Advisor at the University of Illinois at Chicago. She teaches Evidence-Based Practice for the College of Dentistry, in the Clinical Informatics program, and a graduate Data Management course. Her current research focuses on student privacy and learning analytics, efficacy of data education, and research data policy. She is a co-investigator for the IMLS funded Data Doubles project. She blogs at HedgehogLibrarian.com and can be found on Twitter as @hedgielib. Session Description: Publishing Data In Repositories - August 10th from 2-3pm The currency of academia has long been the article. However, with supplemental materials in so many formats, the nature of the scholarly output has changed dramatically. Additionally funders and journals are requiring that the evidence for the articles is also available. Repositories are an excellent venue for these additional forms of scholarly, particular the data. In this session, attendees will learn about the nature of changing publication outputs, how repositories can help provide the needed infrastructure to share data and other research outputs, and how to make a bigger impact with your scholarship through publishing in a repository.
- Creator/Author:
- Konecny, Mark; Goben, Abigail; Bennett, Lawrence, and Jason, Don
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 08/19/2020
- Date Modified:
- 08/24/2020
- Date Created:
- 2020-08-10
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
-
- Type:
- Media
- Description/Abstract:
- This webinar was a part of the Data and Computation Science Series and one of five webinars focused on the Publishing Lifecycle of Data. It occurred on June 29, 2020, at 1:00 pm EDT. Presenter Bio: Geoffrey Pinski is the Assistant Vice President for Technology Transfer in the University of Cincinnati's Office of Innovation. Housed in UC's 1819 Innovation Hub, Geoffrey leads the team responsible for identifying and commercializing the research and innovations of UC’s faculty, staff, and students. Geoffrey rose through ranks, holding nearly every position along the way; starting first as an extern during law school. Under his leadership, the office has set records for invention disclosures, licenses, and startups. As the President of the Ohio Technology Transfer Officers Counsel, he helped develop the Ohio IP Promise; a promise by all 14 states and 2 of the private institutions in Ohio to provide a unified process for commercialization. Session Description: Data is a loaded term - it covers everything from raw numbers to software code. Come learn more about the intersection of Intellectual Property and data; how to protect data, while sharing it; and how and when commercialization might be an avenue. And finally, learn what resources are available to help you navigate the waters of data and Intellectual Property. There is both a ppt slide deck and a mp4 session.
- Creator/Author:
- Geoffrey Pinski
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 07/01/2020
- Date Modified:
- 08/19/2020
- Date Created:
- 2020-06-29
- License:
- Attribution 4.0 International
-
- Type:
- Dataset
- Description/Abstract:
- This list contains the titles and publication years of 599 articles from two Archaeology journals, Ancient Mesoamerica and Latin American Antiquity that contain the term, 'bone'. The articles named in this list were used as the dataset to generate LDA topic models for related research.
- Creator/Author:
- Jackson, Sarah E. and McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 07/29/2020
- Date Modified:
- 07/29/2020
- Date Created:
- December 1, 2019
- License:
- Open Data Commons Attribution License (ODC-By)