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- Type:
- Dataset
- Description/Abstract:
- The Dataset contains raw data that indicates the start and stop time of water flowing at fixtures in the Marian Spencer Hall Cafeteria restroom during hours of operation. The data were collected as part of an effort to develop and test a novel method of measuring flow to calculate the probability that the fixture is busy (fixture p-value). The fixture p-value is one of the parameters necessary to predict peak demand in buildings for pipe sizing purposes. There are two .csv files, a README file and a sample of the data collection template with contact information. The dataset also contains a MATLAB code written to accept data in the suggested format and estimate the fixture probability of use.
- Creator/Author:
- Choudhary, Chandrashekhar ; Omaghomi, Toju; Buchberger, Steven; Wang, Tianshuo, and Tao, Li
- Submitter:
- Toju Omaghomi
- Date Uploaded:
- 12/19/2022
- Date Modified:
- 12/19/2022
- Date Created:
- 2022-12
- License:
- Open Data Commons Open Database License (ODbL)

- Type:
- Generic Work
- Description/Abstract:
- Aurek Chattopadhyay, Reagan Maddox, Glen Horton, Nan Niu, Ganesh Malla, Tanmay Bhowmik, Jianzhang Zhang, and Juha Savolainen, Completeness of Natural Language Requirements: A Comparative Study of User Stories and Feature Descriptions (submitted to REFSQ 2023: https://2023.refsq.org)
- Creator/Author:
- Chattopadhyay, Aurek and Niu, Nan
- Submitter:
- Aurek Chattopadhyay
- Date Uploaded:
- 11/21/2022
- Date Modified:
- 11/21/2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- Text and Metadata for 14,399 newspaper articles. Transcripts collected from Internet Archive Date Range: 2010-2022 File includes meta/data: - Unique-id (uid) - Title (incl. search term) - Date - Link (url) - Abstract - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- Text and Metadata for 9,061 newspaper articles. Newspapers included: New York Times, Wall Street Journal, & Washington Post Date Range: 2017-2022 File includes meta/data: - Unique-id (uid) - Title (incl. source paper & section name) - Date - Link (url) - Author - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/05/2022
- Date Modified:
- 11/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/03/2022
- Date Modified:
- 11/17/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/03/2022
- Date Modified:
- 11/03/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/02/2022
- Date Modified:
- 11/02/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- Volume 53 (Fall 2022) of Cincinnati Romance Review. It includes ten articles and four book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/03/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2022
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Volume 52 (Spring 2022). Special Issue on José Saramago. Guest Editor: Carlos Nogueira (Cátedra José Saramago–UTAD / Cátedra José Saramago–Universidade de Vigo)
- Creator/Author:
- Valladares-Ruiz, Patricia and Sanz Casasnovas, Olga
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/03/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2022
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Volume 51 (Fall 2021) - Cincinnati Romance Review. It includes fourteen articles and three 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:
- 2021
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Monographic Issue: "El deporte en la literatura latinoamericana". Edited by Luis Miguel Estrada Orozco. It includes ten articles and two 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:
- 2021
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Volume 49 (Fall 2020) of Cincinnati Romance Review. It includes six articles and five book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/03/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2020
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Vol. 48 (Spring 2020), Cincinnati Romance Review. It includes eight articles and two book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/01/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2020
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Monographic Issue Imágenes de la mujer y del erotismo en la poesía áurea. Edited by Patricia Marín Cepeda and Javier Blasco.
- 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:
- 2019
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Volume 46 (Spring 2019) of the academic journal Cincinnati Romance Review (RALL Department). It includes six research articles and nine book reviews.
- Creator/Author:
- Valladares-Ruiz, Patricia and Sanz Casasnovas, Olga
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/01/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2019
- License:
- Attribution 4.0 International

- Type:
- Dataset
- Description/Abstract:
- Data compiled and used for Guerra, Parlin & Matter
- Creator/Author:
- Parlin, Adam; Guerra, Patrick, and Matter, Stephen F.
- Submitter:
- Stephen F. Matter
- Date Uploaded:
- 09/21/2022
- Date Modified:
- 09/21/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Student Work
- Description/Abstract:
- This is a biography of the Shawnee tribal chief Tecumseh. The early childhood of Tecumseh is researched all the way to his death at the Battle of Thames in 1813 in this biography that sticks to the truth and cites sources from different authors. Originally this research project was just a capstone project for a class but as the research accumulated, I found the need to create this biography about Tecumseh. Tecumseh made a confederation of like-minded tribes to combat the encroaching United States' government in the late 18th century and early 19th century. All the information that is presented in the biography has been researched and edited. With more than 50 hours of research involved with this biography, the historical contributions regarding The War of 1812 are noteworthy and the contributions made regarding the killer of Tecumseh are found in this biography as well. This isn't a complete overview of Tecumseh's life, but rather this biography details the life of a Shawnee in a time rich with civil strife during the expansion of the United States after the Northwest Ordinance of 1787. The Heritage Village Musuem in Sharonville, Ohio allowed for me to intern during the summer of 2022 to bolster the accuracy of this biography.
- Creator/Author:
- Ammon, Nathan
- Submitter:
- Nathan Ammon
- Date Uploaded:
- 09/08/2022
- Date Modified:
- 09/08/2022
- Date Created:
- 2022-08-18
- License:
- Public Domain Mark 1.0
- Type:
- Image
- Description/Abstract:
- Box-and-Whisker visualization of coherence scores for three corpora types: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). This figure is for models matching search-term "climate". Visualizations for other search terms and additional interactive elements available at the related URL below. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/12/2022
- Date Modified:
- 08/12/2022
- Date Created:
- 2022
- License:
- Public Domain Mark 1.0
- Type:
- Image
- Description/Abstract:
- Box-and-Whisker visualization of topic coherence scores for three corpora types: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). This figure is for models matching search-term "climate". Visualizations for other search terms and additional interactive elements available at related URL below. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/12/2022
- Date Modified:
- 08/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Image
- Description/Abstract:
- Heat map visualization of median coherence scores for three corpora: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). Median coherence scores across all search-term based models ("climate", "earth", "environmental" "pollution") The median is found from 1,116 total coherence scores. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Public Domain Mark 1.0

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 11/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)

- Type:
- Dataset
- Description/Abstract:
- This file contains poet metadata for a dataset of poems collected from Poetry Foundation. This metadata relates to a poetry corpus collected from Kaggle available on that site: https://www.kaggle.com/datasets/ultrajack/modern-renaissance-poetry Sean Ayres collected publication metadata and generated other relevant metadata fields based on his subject matter expertise. The original Kaggle poetry dataset contains approximately X lines of poetry. The metadata for this dataset references X poets
- Creator/Author:
- Ayres, Sean and McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 07/11/2022
- Date Modified:
- 07/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)

- Type:
- Dataset
- Description/Abstract:
- This file contains book metadata for a Project Gutenberg dataset of poetry metadata. This metadata relates to a poetry corpus collected by Allison Parrish available on GitHub: https://github.com/aparrish/gutenberg-poetry-corpus Sean Ayres collected the publication metadata and generated other relevant metadata fields based on his subject matter expertise. The poetry dataset contains approximately three million lines of poetry The metadata for the dataset references X hundreds of books.
- Creator/Author:
- Ayres, Sean; McCabe, Erin E., and Parrish, Allison
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 07/11/2022
- Date Modified:
- 07/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
63. Examining the energy performance of older and historic building using municipal benchmarking data
- Type:
- Article
- Description/Abstract:
- Until recently, nationally representative survey data has been the primary source of information on the energy performance of buildings in the U.S., relative to their year of construction. The emergence of municipal energy benchmarking ordinances and public availability of benchmarking datasets now makes it possible to explore these relationships at the local level, and to link this data with information about a building’s historic designation status. This paper presents results from an initial statistical analysis examining the relationships between building energy use, year of construction, and historic designation status. First, municipal benchmarking data from six U.S. cities is used to examine local trends in the relationship between building age and energy performance. Second, an exploratory analysis of the energy performance of designated historic compared to non-historic buildings in New York City is presented. The methods described in this paper could be applied more widely to benchmarking datasets from other cities.
- Creator/Author:
- Webb, Amanda; M. David Burton, and Beckett, Lauren
- Submitter:
- Amanda Webb
- Date Uploaded:
- 05/26/2022
- Date Modified:
- 05/26/2022
- Date Created:
- 2018-09-26
- License:
- Attribution 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Salehpour, Kaevon
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/17/2022
- Date Modified:
- 05/17/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Chaudhry, Nabeel
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/17/2022
- Date Modified:
- 05/17/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Clingerman, Spencer
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/16/2022
- Date Modified:
- 05/17/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Organiscak, Aaron; DeForest, Claire; Grigger, David; Atha, Cameron, and Orth, David
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/12/2022
- Date Modified:
- 05/12/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Cummings, Ian; Kurtz, Patrick; Loehr, Kathryn; Lods, Nicole, and Maldonado, Zoe
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/12/2022
- Date Modified:
- 05/12/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Carroll, Brandon; Collum, Nathaniel; Lampert, Hayden, and Dombrosky, Chris
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/04/2022
- Date Modified:
- 05/12/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Cheng, Yubo; Yu, Mohan, and Zhang, Yuexuan
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/04/2022
- Date Modified:
- 05/04/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Murphy, Joseph; Hoffmann, Jacob, and Tran, Henry
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/04/2022
- Date Modified:
- 05/04/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Name, William; Brassfield, Michael; Wiegandt, Matt; Nieschwitz, Stefan; Meiners, David; Yasin, Ayaaz; Bitner, Josh; Morrow, Ben, and Aldridge, Cameron
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/04/2022
- Date Modified:
- 05/04/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Poulos, Nick; DeNoma, Benjamin, and Kendall, Michael
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/04/2022
- Date Modified:
- 05/04/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Beavers-Santos, Jacob
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/04/2022
- Date Modified:
- 05/04/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Maltry, James; Lape, Dillon, and Fairbanks, Joseph
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/04/2022
- Date Modified:
- 05/04/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Lape, Dillon; Maltry, James, and Fairbanks, Joseph
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/03/2022
- Date Modified:
- 05/03/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Mollman, Jacob
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/03/2022
- Date Modified:
- 05/03/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- George, Bailey
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/03/2022
- Date Modified:
- 05/03/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Gastineau, Hunter
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/03/2022
- Date Modified:
- 05/03/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Stephenson, Kirk; Gilbertsen, Ian; Blickensderfer, Nathan; Walsh, Brandon, and Selby, Zachary
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/03/2022
- Date Modified:
- 05/05/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Poole, Alex; Gregory, Spencer, and Knights Quoran
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/03/2022
- Date Modified:
- 05/03/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Senior design capstone report
- Creator/Author:
- Gebara, Leah and Sage, Lainey
- Submitter:
- CEAS Library Staff
- Date Uploaded:
- 05/03/2022
- Date Modified:
- 05/03/2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Image
- Description/Abstract:
- The goal of this project was to research and propose the implementation of a polyethylene terephthalate (PET) recycling plant. The recommended process is recycling PET flakes into its base polymers and monomers via a hydrolase enzyme biocatalyst. The current design with supporting utilities and operations has an estimated total capital investment of $54.68 million dollars. The team recommends selling terephthalic acid (rTPA) at $2.21 per kilogram to reach a net present value of $0 after 10 years. This price is not yet competitive with the current market of virgin TPA, which historically has been between $1.00 and $1.50 per kilogram. This process also produces liquid ethylene glycol (EG) and sodium sulfate salt (SS) that can be sold as co-products. The return on investment (ROI) is 24.4% and the venture profit is $1.34 million. Future work includes further optimization of rTPA pricing, on-site wastewater treatment, unit operation modification, and further lab development and research regarding the biocatalyst enzyme
- Creator/Author:
- Sauls, Amanda; Ker, Chelsea; Brandes, Miread; McCluskey, Margaret , and Newman, Robert
- Submitter:
- Stephen W. Thiel
- Date Uploaded:
- 04/25/2022
- Date Modified:
- 05/09/2022
- Date Created:
- 2022-04
- License:
- All rights reserved
- Type:
- Document
- Description/Abstract:
- Art History Thesis
- Creator/Author:
- Kumar, Mika
- Submitter:
- Mika Kumar
- Date Uploaded:
- 04/20/2022
- Date Modified:
- 04/20/2022
- Date Created:
- 2022-04-21
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Document
- Description/Abstract:
- This document is supplemental materials for the book chapter "Playing in the Same Sandbox: Collaborations on Data Management, Research Technologies, and Research Computing" in the book Cases on Establishing Effective Collaborations in Academic Libraries authored by Amy Koshoffer and Amy Latessa
- Creator/Author:
- Koshoffer, Amy
- Submitter:
- Amy Koshoffer
- Date Uploaded:
- 04/18/2022
- Date Modified:
- 04/18/2022
- Date Created:
- 2022-04-18
- License:
- Attribution-NonCommercial-ShareAlike 4.0 International
- Type:
- 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
87. 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
- Type:
- Student Work
- Description/Abstract:
- This essay investigates the complex subject matter and the significance of Félix Bracquemond’s etching Le Haut d’un battant de porte (The Top of a Door) through a biographical approach, visual analysis, and examination of the artist’s creative process and intentions. The investigation demonstrates that this etching is not only unusual for its clarity, but also for its ambiguity. The seemingly contradictory yet complementary characteristics – clarity and ambiguity – coexist in this work. It is the coexistence and interaction of clarity and ambiguity that makes this work more significant and intriguing.
- Creator/Author:
- Lai, Sufang
- Submitter:
- Sufang Lai
- Date Uploaded:
- 03/31/2022
- Date Modified:
- 04/21/2022
- Date Created:
- 2022-04-20
- License:
- All rights reserved

- Type:
- Document
- Description/Abstract:
- TEST
- Creator/Author:
- Kumar, Mika
- Submitter:
- Mika Kumar
- Date Uploaded:
- 03/31/2022
- Date Modified:
- 04/08/2022
- License:
- All rights reserved

- Type:
- Article
- Description/Abstract:
- “With his Right Hand”: Signatures, Pictorial Gestures, and Artistic Self-Consciousness in Pietro Lorenzetti’s Arezzo Polyptych Pietro Lorenzetti signed no fewer than nine paintings during his career, more than any other European artist until Jan van Eyck a century later. He also left an unprecedented “double signature” on one work, with the first inscription prominently visible to the public and the second hidden and known only to the painter. Written along the lower edge of altarpieces and panels, Lorenzetti’s signatures are usually simple and concise, following formulas previously adopted by medieval Italian artists. But two of his earliest inscriptions, on the Cortona Madonna (ca. 1315) and Arezzo Polyptych (1320-1324), differ by including the word “dextra”: “Petrus Laurentii hanc pinxit dextra senensis.” These signatures can be translated as “Pietro di Lorenzo of Siena painted this [work] with his right hand.” Like his unparalleled proclivity for signing paintings, Lorenzetti’s use of “dextra” in these inscriptions can inform us about his specific works, pictorial language and artistic personality. By stating that the Arezzo Polyptych was painted “with his right hand,” Lorenzetti naturally drew attention to his manual dexterity and the glorious product of his extensive handiwork. Simultaneously it put Lorenzetti’s paintings in relation to the work of esteemed artists such as Giunta Pisano who had already referred to their own expert hands in their signatures. If we look at the Arezzo Polyptych’s content, Lorenzetti’s “dextra” encourages viewers to consider the formal connections between the artist’s hand and the hands of figures he painted, including the dextra Dei depicted in the Annunciation and the pointing hand of John the Baptist indicating the Christ Child, both of which are vertically aligned with Pietro’s signature. Such visual resonances between text and image suggest that Lorenzetti was self-consciously linking his creative act with the divine work of God and the saints. What inspired Lorenzetti to sign so many of his paintings, and, on occasion, to do so in such a self-aggrandizing way? The painter was surrounded by several significant artists who created prominent works with signatures. They include Giunta Pisano, Margaritone d’Arezzo, Giovanni Pisano, and Duccio, and if Lorenzetti did not collaborate directly with them, he surely would have seen their paintings and sculptures in Arezzo, Assisi, Siena, and elsewhere. Moreover, having secured at a young age several highly important commissions in Tuscany and Umbria, including the fresco cycle in the left transept of the Lower Church at Assisi, Lorenzetti would have had more than enough self-confidence to inscribe himself—and his right hand—into the Arezzo Polyptych.
- Creator/Author:
- Platts, Christopher
- Submitter:
- Christopher Platts
- Date Uploaded:
- 03/25/2022
- Date Modified:
- 03/25/2022
- Date Created:
- 2019-01-01
- License:
- Public Domain Mark 1.0

- Type:
- Dataset
- Description/Abstract:
- This dataset details the force-displacement response of porcine meniscus in no-slip uniaxial compression. Samples are cut from the anterior, middle and posterior regions of the meniscus.
- Creator/Author:
- Vemaganti, Kumar ; Lin, Chia-Ying, and Long, Teng
- Submitter:
- Kumar Vemaganti
- Date Uploaded:
- 02/24/2022
- Date Modified:
- 02/24/2022
- Date Created:
- 2020
- License:
- Open Data Commons Open Database License (ODbL)
92. Stemmed Gardens
- Type:
- Student Work
- Description/Abstract:
- Starting a food producing garden should be easier to do successfully. Getting data related to your specific gardening conditions can be time consuming and tedious for the average person who does not have any gardening experience. In 2020 during the coronavirus pandemic, there has been an increase in food insecurities for people because of grocery supply chain fulfillment concerns. A simple yet shocking Google trends search for terms like “how to start a garden”, “food shortage”, and “food insecurity” since 2004 in the US have more than doubled in March of 2020 alone, during the beginning of the coronavirus pandemic. A search for “garden apps” has also shown more than double the interest in the same time frame on average. People want and need to grow their food to reduce their food anxieties. Having an alternative food source can also reduce national food-related supply chain disruptions caused by climate change, natural disasters, or even global pandemics. STEMMED Gardens was created to make gardening easier by crowdsourcing scientific data and real-life gardening success and failures. We created an iOS and Android application with an Azure based backend for users to be able to plan, maintain, troubleshoot, and share those gardening experiences. New and experienced users can easily retrieve and identify plant information and gardening techniques that can be used in each stage of their personal food garden journey.
- Creator/Author:
- Garcia, Eli; Alonge, Michael; Library Service, CECH, and McDowell, Matthew
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/15/2022
- Date Modified:
- 02/15/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
93. Phishy
- Type:
- Student Work
- Description/Abstract:
- Phishy is a service intended for security administrators in order to allow them to launch several simultaneous, simulated phishing campaigns to gauge and improve the phishing awareness of employees within their organization. With our service, we want to take security awareness training to the next level. We designed Phishy to help combat the major phishing problem companies face today and to help better educate employees on the dangers of phishing. Currently, there is not an open-source platform that acts as a “one stop shop” for managing phishing campaigns and users’ phishing awareness training. Phishy fills this need by helping its users launch realistic phishing campaigns, utilizing WGET to clone websites in order to create realistic phishing situations. Along with giving users the ability to create practical phishing training for their organization, live visual and data analytics will be provided with tools such as Elasticsearch and Kibana. Since we know how busy security professionals are, it would be unlikely that each user who falls for a phishing simulation would be able to receive security training catered to what phishing tactic they fell for. Phishy has the ability to track which users are falling for which phishing scams and enroll them into specific phishing awareness training based on their interactions with the phishing simulation. Our hope is that Phishy will provide security professionals with a comprehensive tool that will allow them to better train and prepare their organization against the dangers of phishing
- Creator/Author:
- Thomas, Jacob; Mayse, Derrck; Waters, Travis, and Library Service, CECH
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/15/2022
- Date Modified:
- 02/15/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
94. PANIK
- Type:
- Student Work
- Description/Abstract:
- As of 2019, it was estimated that over 21 million people in the United States go without reliable Internet connectivity (Winslow, 2019). The Internet is integral to everyday life now more than ever; many relying heavily on it for conducting work, obtaining an education, and maintaining communications. Because of these benefits and reliance, it is essential for anyone to have access to the Internet when it is needed, especially in cases of emergency. However, many people do not have the financial resources or technical know-how to stay connected. Our PANIK Guide hopes to help solve this issue by providing a user-friendly approach to setting up an inexpensive mesh network that can be used to help provide this access in areas and times where Internet connection is needed most. PANIK Kits are an affordable, easy to set up, quickly deployable approach to help connect those who are in most need of these resources.
- Creator/Author:
- Snider, Andrew; Library Service, CECH; Yanchek, Dylan, and Rauh, Samantha
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/14/2022
- Date Modified:
- 02/14/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
95. Help Desk Helper
- Type:
- Student Work
- Description/Abstract:
- Since February 2020, tickets coming in over channels like WhatsApp, Facebook Messenger, direct messages over Twitter, and SMS rose nearly 50 percent. While this is convenient for the user, this could result in tickets not being generated for the help desk and may be negatively impacting their tracking metrics. Our solution integrates itself within multiple commonly used messaging and support desk platforms. This provides end users with easy solutions for their common problems and granting them an easy way to make a support ticket should they require additional support from their help desk. By using readily available technology, we are bringing an easy-to-use solution to those in need of support in a way that is convenient for the end user and easy for the support desk to track. Our Solution provides an easily accessible chatbot that provides end users with quick level one support.
- Creator/Author:
- Sellmeyer, Aaron; Library Service, CECH; Auguste, Turin, and Meier, Michael
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/14/2022
- Date Modified:
- 02/14/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
96. Green Impact
- Type:
- Student Work
- Description/Abstract:
- In today’s ever-changing world, people are beginning to increasingly feel the effects of climate change. Many users want to make an impact, but many do not know how they can do to play their part. GreenImpact is the ultimate solution for users to have a better understanding of environmental problems and realize that everyone can contribute to solving environmental problems. Green Impact combines the feed of information, maps locations of social welfare projects, tracks green activities, shares what they find, and gets rewarded points. Based on the research of Pew Research Center surveys dating back nearly two decades, nearly as many Americans say protecting the environment should be a top policy priority (64%) as say this about strengthening the economy (67%) (February, 2020). Our application will serve as a tool for environmentally conscious people, who want to track their actions and see how they are making an impact.
- Creator/Author:
- Alalainy, Adnan; Library Service, CECH; Comyns, Spencer , and Cheng, Han
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/14/2022
- Date Modified:
- 02/14/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- Knowledge bases are a growing industry due to the information required in the background to support multiple applications and daily tasks for employees. These knowledge bases are filled with an abundance of information. This information could include passwords, keys and other credentials that could be critical for an organization. According to the Verizon Data Breach Investigations Report, 78% of attacks on web applications involved the use of stolen credentials with credentials and personally identifiable information as a target. With the Mismanaged Credential Finder, this application is looking to find and help remedy credentials that are in these knowledge bases. By doing so, this application is looking to help IT professionals manage their knowledge base and enforce cybersecurity policies. In doing so, our goal is to minimize risk due to a knowledge base breach for an organization.
- Creator/Author:
- McDonald, Richard; Library Service, CECH; Tan, Michael, and Kadakia, Kevin
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/14/2022
- Date Modified:
- 02/14/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
98. Introsec
- Type:
- Student Work
- Description/Abstract:
- Introsec is an informational program that introduces middle and early high school students to the realm of cybersecurity. This web application consists of a series of interactive gamified labs that help students develop skills that are relevant to their personal cybersecurity and the broader industry. According to security firm ProtectWise, 67 percent of millennials have never taken a cybersecurity class (Delaney, 2018). Based on our research, there is a need for a quick and interactive course to introduce middle and high school level students to the basics of cybersecurity and gauge their interest in the field. Introsec provides a fast, fun and effective way to get hands-on experience without needing to commit to a long camp or series of courses. We have created a functioning web application that provides students with basic information about aspects of cybersecurity through multiple scenario-based games.
- Creator/Author:
- Andre, Joshua; Library Service, CECH; Fordos, Michelle, and Turner, Eric
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/14/2022
- Date Modified:
- 02/14/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
99. SchoolSpace
- Type:
- Student Work
- Description/Abstract:
- SchoolSpace is the best solution for any parent or student concerned about Covid-19. By using SchoolSpace students can gain a better understanding of key curriculum classes such as Math, Science, English, History and even Chemistry. There are many functions that SchoolSpace can provide. By using SchoolSpace users will be able to learn these courses through both interactive mini games and cool visuals that will make learning the subject more fun. Additionally, users will be able to create their very own avatars that they can make it look as if they're actually in the game as well as interact with their own classmates!
- Creator/Author:
- Shelton,Nick; Herman,Chris; Library Service, CECH, and Martin,Tom
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/14/2022
- Date Modified:
- 02/14/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International

100. Simply Scheduled
- Type:
- Student Work
- Description/Abstract:
- Simply Scheduled is a solution for Bridger Brewing’s Management and similar small businesses who want to digitize their schedule. Software Advice states that 61% of small businesses experience faster, easier, and more accurate scheduling by using scheduling software. Of those, 70% use a system created specifically for scheduling. The use of an application that provides flexibility for managers and employees to establish an organized digital schedule significantly reduces the administrative load on small businesses. We have supported the Bridger Brewing company by developing a web application that makes their scheduling process simple, quick, and transparent. The integration of overtime visibility, automated scheduling, and team messaging can help the company reduce the time required to create and maintain a schedule, saving money while reducing the strain on managers.
- Creator/Author:
- Schneider, David; Rodgers, Kevin; Library Service, CECH; Brown, Jamal, and Elkalili, Cheghali
- Submitter:
- CECH Library Service
- Date Uploaded:
- 02/14/2022
- Date Modified:
- 02/14/2022
- Date Created:
- 2021-04
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International