Index Catalog // Scholar@UC

Immersive Inclusion: Diversity and Inclusion Training Using Virtual Reality

Type:: Document
Description/Abstract:: An exploration of the use of virtual reality technology in the context of diversity and inclusion training. This manuscript describes two studies: Study 1 was longitudinal and investigated the impacts of a VR-based bias training. Cognitive and affective empathy levels and impact on behavior, attitude, and knowledge before and after the training were measured to test the hypotheses that (H1) cognitive empathy levels would increase and (H2) individuals with higher initial levels of empathy would demonstrate more pronounced changes in cognitive empathy following the training. H1 was supported but larger changes were found in affective empathy levels. H2 was also supported as individuals with higher initial empathy levels showed higher levels of cognitive empathy after the training compared to individuals with lower initial empathy levels. However, again, larger differences were found in affective empathy levels. Qualitative data revealed a lasting impact nine weeks after the training that was not present in the quantitative data. Study 2 surveyed healthcare professionals who previously participated in a VR-based DEI training that focused on social determinants of health and empathy in healthcare professionals. The purpose of this study was to gain insight into the longitudinal impacts of a VR-based DEI training by gathering qualitative data from the participants at least a year after they went through the training. The respondents reported a lasting influence from the training. Reasons for the discrepancy between the qualitative and quantitative results are discussed as are implications for organizations and future DEI training development and research.
Creator/Author:: Mason, Lauren
Submitter:: Lauren Mason
Date Uploaded:: 02/08/2023
Date Modified:: 02/08/2023
Date Created:: 2022
License:: Attribution 4.0 International

Wireless Sensor Monitoring Water Use at Fixtures

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)

Coherence_Evaluations - nvl_pollution.csv

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)

Coherence_Evaluations - nvl_earth.csv

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)

Coherence_Evaluations - nvl_climate.csv

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)

Coherence_Evaluations - nvl_environmental.csv

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)

TV News Transcripts of Outer Space Coverage

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)

Newspaper coverage of Outer Space Theme

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)

Coherence_Evaluations - nvl_random5k.csv

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)

Coherence_Evaluations - pmc_environmental.csv

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)

Coherence_Evaluations - pmc_earth.csv

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)

Coherence_Evaluations - nws_environmental.csv

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)

Coherence_Evaluations - nws_random5k.csv

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)

Coherence_Evaluations - nws_pollution.csv

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)

Coherence_Evaluations - nws_earth.csv

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)

Coherence_Evaluations - nws_climate.csv

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)

Cincinnati Romance Review: Volume 53 (Fall 2022)

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

Cincinnati Romance Review: Volume 49 (Fall 2020)

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

Cincinnati Romance Review: Volume 48 (Spring 2020)

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

Cincinnati Romance Review: Volume 46 (Spring 2019)

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

Tecumseh Biography

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

Figure Z. Topic Coherence across Hyperparameter:Beta

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

Figure Y. Topic Coherence across Hyperparameter:Alpha

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)

Figure X. Median Coherence

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

central_pmc_pollution20.csv

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)

central_pmc_environmental15.csv

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)

central_pmc_environmental20.csv

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)

central_pmc_pollution15.csv

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)

central_pmc_earth20.csv

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)

central_pmc_earth15.csv

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)

central_pmc_climate15.csv

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)

central_pmc_climate20.csv

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)

central_pma_pollution20.csv

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)

central_pma_pollution15.csv

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)

central_pma_environmental20.csv

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)

central_pma_environmental15.csv

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)

central_pma_earth20.csv

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)

central_pma_earth15.csv

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)

central_pma_climate20.csv

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)

central_pma_climate15.csv

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)

Coherence_Evaluations - pmc_random5k.csv

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)

Coherence_Evaluations - pmc_environmental.csv

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)

Coherence_Evaluations - pmc_earth.csv

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)

Coherence_Evaluations - pmc_pollution.csv

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)

Coherence_Evaluations - pmc_climate.csv

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)

Coherence_Evaluations - pma_random5k.csv

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)

Coherence_Evaluations - pma_pollution.csv

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)

Coherence_Evaluations - pma_environmental.csv

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)

Coherence_Evaluations - pma_climate.csv

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)

Coherence_Evaluations - pma_earth.csv

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)

Coherence_Evaluations - cas_random5k.csv

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)

Coherence_Evaluations - cas_environmental.csv

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)

Coherence_Evaluations - cas_pollution.csv

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)

Coherence_Evaluations - cas_climate.csv

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)

Coherence_Evaluations - cas_earth.csv

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)

Poetry Foundation Metadata

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)

Project Gutenberg Poetry Metadata

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)

Max Pechstein: Seeking Change Through Das Vater Unser

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)

Iterations of the RDS Unit_2012-2022

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

Dusty Millers: Rural Representation in 19th Century Movements

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

DRAFT EXHIBITION

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

Clarity and Ambiguity in Félix Bracquemond’s View of Reality: Le Haut d’un battant de porte (The Top of a Door)

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

Max Pechstein: Seeking Change Through Das Vater Unser

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

The Unspoken Arms Race: Neurowarfare

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

Architecture and Sculpture in Cincinnati

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

Great Kitchens of Cincinnati

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

Frank Lloyd Wright's Scandals

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

John deKoven Hill and the Corbett House

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

Crosley Tower

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

Frank Lloyd Wright in Cincinnati

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

Crosley Tower

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

Boswell House

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

Theme Coded Literature Review - Does China's One-China Policy Shape China's Foreign Policy?

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)

List of Invasive Species in the Midwestern United States with Ornamental Origin

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:: Feldman, Tziporah and Culley, Theresa
Submitter:: Theresa Culley
Date Uploaded:: 07/05/2021
Date Modified:: 03/18/2023
Date Created:: March 18, 2023
License:: Open Data Commons Attribution License (ODC-By)

Diversity Education through Creativity

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

Vocabulary Count Feature Vectors for Medical School Classifier

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)

Vocabulary Comparison of Medical School Applications

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)

Curriculum Proposal - Care, Relationships, and Collaboration

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

Addressing the Underrepresentation of Teachers Based on Race, Gender and Sexual Orientation

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

Topic Model Results of Ohio Non-Profit Organizations' Mission Language

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)

Common Objects

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

Open Research: Making Harmful Habits History

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

APPENDIX D: Topic Network Maps for a Random 10k Documents & the Complete CORD-19 Dataset

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

APPENDIX B: Coronaviridae Topic Network Maps [SARS, MERS, COVID-19]

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

A Dataset of Roman Fish-Salting and Fulling Workshops

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)

Data on Special Education Voucher use in OH, GA and FLA and information on loss of Least Restrictive Environment Civil Rights

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

UC Data Day 2020 Presentations

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

COVID 19 literature NLP models – Viral outbreak topic tuning

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

COVID 19 literature NLP models – Viral outbreak models formatted

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

COVID 19 literature NLP models - Viral outbreak model centrality files

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

Impacts of largescale electric vehicle deployment on Cincinnati ambient air quality

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

Determining the extent of lateral dispersion in the Ohio River: Combs-Hehl Bridge to the Little Miami River confulence (Ohio River miles 461.9 to 463.3)

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

Full Data Set - Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati

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

Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati

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

Promoting your Research and Research Impact

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

Publishing Data in Repositories

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

List of Articles used to Generate Archaeology/Bone Topic Models

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)

Topic Models of Archaeology Articles referencing 'Bone'

Type:: Dataset
Description/Abstract:: Six topic models were generated using Latent Dirichlet Allocation, an algorithm that considers the probability of words co-occurring in a document given a collection of documents. The collection of documents that these particular models are based on include 599 articles that include the term 'bone' from two archaeology journals, Ancient Mesoamerica and Latin American Antiquity.
Creator/Author:: McCabe, Erin E. and Jackson, Sarah E.
Submitter:: Erin E. McCabe
Date Uploaded:: 07/29/2020
Date Modified:: 07/29/2020
Date Created:: 2019-11-01
License:: Open Data Commons Attribution License (ODC-By)

Understanding Open Access and Open Data

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 July 27, 2020, at 2:00 pm EDT. Due to technical difficulties, the presentation starts at 8:47. The presenter was Claudio Aspesi, Senior Research Analyst. He joined Sanford C. Bernstein & Co., LLC, in 2004 covering European media stocks. Previously he was Global Senior Vice President of Strategy at EMI Music and was responsible for defining the company’s business model as the music industry entered the digital age. Before joining EMI Music in 2002, Mr. Aspesi was a member of the executive team at Airclic, an Internet infrastructure company, and prior to that a Principal at McKinsey and Co., working with many leading media and entertainment companies. Mr. Aspesi graduated with the highest honors from Universita Luigi Bocconi, Milan, with a Laurea in Economia Aziendale. Session Description - Open data and metadata - opportunities, risks, and possible actions Research data is at the core of what universities do. Its value to researchers is, of course, paramount - and open science offers significant benefits to the scientific community. But this data, and the attached metadata, are increasingly valuable for third parties as well. We will discuss how research data and metadata increasingly overlaps with all the other data produced by academic institutions, how it is becoming increasingly valuable outside the academic community, and how it could become even more valuable in the future. The collection, analysis, synthesis and preservation of data and metadata, however, pose significant issues as well; for example, data can and is being used to evaluate individuals (with the biases implicit in developing algorithms to analyze them). More broadly, the collection and analysis of data raises privacy and academic freedom concerns, and so does the lack of transparency and accountability of third party users. Ultimately, the deployment of data analytics and Artificial Intelligence tools should fit with the broader values of the academic community, such as equity and sustainability - whether it does so is controversial. In addition to the need to establish principles for the use of data analytics and Artificial Intelligence, there are also significant ethical questions that need to be addressed, and that pose significant challenges, and there are questions about how to ensure the long term preservation of data and metadata. We will close the presentation with a look at possible steps that the academic community ought to take to address all these issues. We hope that a discussion will follow, in order to address questions and issues, as well as to gather points of view from participants
Creator/Author:: Aspesi, Claudio
Submitter:: Amy Koshoffer
Date Uploaded:: 07/28/2020
Date Modified:: 07/28/2020
Date Created:: 2020-07-27
License:: Attribution-NonCommercial-NoDerivs 4.0 International

Getting Published - Publishers Panel

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 July 13, 2020, at 2:00 pm EDT. Presenter Bio: Jeffrey Layne Blevins (PhD) - is Head of the Journalism Department at the University of Cincinnati and editor of Democratic Communiqué. His scholarly focus is the political economy of U.S. media industries, and his most research includes data visualizations of social media activity involving social justice issues and the spread of misinformation on Twitter. The Communiqué is the official publication of the Union for Democratic Communications Victoria Carr (PhD) - Professor of Early Childhood Education/Human Development and Executive Director of the Arlitt Center for Education, Research, and Sustainability at the University of Cincinnati, conducts research related to play and learning environments, teacher pedagogies, and children’s experiences in nature. Her research on nature playscapes and STEM education has been supported by the US National Science Foundation. She serves as Co-Editor for Children, Youth & Environments, co-chair of the Leave No Child Inside Greater Cincinnati Collaborative, and as a Board of Directors member for Cincinnati Nature Center. She is an advocate for mindful, sustainable and child-friendly communities. Theresa Culley (PhD) - is a Professor and Head of the Department of Biological Sciences. As a plant biologist, she co-founded and currently serves as Editor-in-Chief of Applications in Plant Sciences, an online methods journal published by the Botanical Society of America in association with Wiley Publishing. The journal highlights novel methods in all areas of the plant sciences, serving established professionals as well as junior researchers around the world. Steven Lange - Director, graduated from Heidelberg College in Tiffin, Ohio with a Bachelor of Science degree in Biology. Steve became our director in 2013. He has over 25 years of experience in the leather industry, including tannery, finishing, and automotive cutting/wrapping operations. In addition to continually growing our roster of clients, he has taught over 200 students in our various classes. His knowledge of leather testing procedures and processes is unrivaled. In his free time, he volunteers for the Leader Dogs for the Blind organization, is the editor of the JALCA (Journal of the American Leather Chemists Association) and enjoys spending time with his family and dogs. Session Description: Publications have long been the currency for academia. The first publication can be the hardest. And today’s scholarly articles are more than pdfs and can include multi-media supplemental materials including raw or additional data, videos, interactive maps, and other components of your scholarship process. In this one hour web session, UC faculty who are journal editors will discuss how to - dentify the right journal for your work - avoid predatory journals - maximize your research impact through altmetrics and data publishing - increase your understanding of the publishing process through opportunities such as being a guest editor on a special issue or serving as a reviewer. This event is free and open to all seeking to publish their scholarship and maximize its impact.
Creator/Author:: Culley, Theresa; Blevins, Jeffrey Layne; Lange, Steven, and Carr, Victoria
Submitter:: Amy Koshoffer
Date Uploaded:: 07/17/2020
Date Modified:: 07/28/2020
Date Created:: 2020-07-13
License:: Attribution 4.0 International

Search Constraints

Search Results

Limit your search