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- Type:
- Document
- Description/Abstract:
- As technology permeates day-to-day life, people have more and more ways to communicate. These forms of communication create a challenge for Public Safety Answering Points (PSAP). Research has shown people are posting on social media for medical help, but PSAPs do not have a way to receive these messages. This research aims to determine if using keywords and filter words can be used to find the actionable calls for help in the midst of the millions of posts made. Actionable is defined as containing enough information to determine the nature of a medical emergency and if is currently occurring or is recent enough that the poster needs help. To determine if this was true, the most prevalent types of voice medical calls to the Cincinnati Fire Department were determined for 2021. A set of keywords and filter words was created for each call type. Then tweets were captured over a period of seventeen hours and filtered using the word lists. The filtering showed there was a valid way to find actionable tweets, and that people were posting such things. By varying the word lists, the signal-to-noise ratio can be adjusted depending on the desires of the agency. as filtering became more strict, the number of missed actionable tweets increased, while the number of incorrectly labeled as actionable decreased.
- Creator/Author:
- Langdon, Theodore
- Submitter:
- Theodore Langdon
- Date Uploaded:
- 08/19/2023
- Date Modified:
- 08/19/2023
- Date Created:
- 2022-07-06
- License:
- All rights reserved
- Type:
- Document
- Description/Abstract:
- Fighting Post-Tenure Fatigue: Reclaiming Your Time and Redefining Leadership offers insights, strategies and personal examples of how the two mid-career librarians have managed to navigate academic librarianship as first-generation, BIPOC, cis-gendered women while also balancing parenthood on the road to achieving tenure. The chapter describes their bouts with post-tenure fatigue, a phenomenon familiar to many mid-career librarians. Early in their careers, academic librarians focus on fulfilling the requirements of the promotion process at their institution. These requirements often leave little room for personal fulfillment once day-to-day responsibilities and designated service requirements are met. This process can provoke feelings of stress and anxiety as they struggle to find their footing within the institution, and the larger areas of librarianship and academia. Most institutions provide a support system and other mentorship for professional growth and career development. Achieving promotion and/or tenure is an accomplishment to be celebrated and followed by a sigh of relief. However, in the days, months, and years afterward, tenured librarians can start feeling a lack of motivation, support, and career guidance. They often struggle to answer the question, “What next?” The co-authors will highlight strategies for dealing with this kind of post-tenure burnout. One strategy for mid-career librarians is to be intentional about how one wants to spend their time. Day-to-day responsibilities and leadership expectations tend to increase exponentially the longer one stays in a position. Therefore, mid-career librarians need to learn when and how to say no in some cases, in order to say yes to other possibilities. Readers will be encouraged to look beyond their core responsibilities and think about expanding their time into areas like strategizing, skill building, acting creatively, and strengthening relationships. The chapter will include questions the reader can use to reflect on how they are spending their time, as well as tips for examining and adjusting their time to align with their intentions. Another strategy for mid-career librarians is to take advantage of unexpected leadership opportunities. Rather than looking for a new position with formal leadership responsibilities, one can develop leadership skills by leading projects inside and outside of their institution. Examples include participating in initiatives with specific goals or professional service in the form of short-term committees. The chapter will include questions the reader can use to examine opportunities for new leadership roles. To illustrate these strategies, the co-authors will share their experience using the mid-career point as an inspiration to invest time into the BIPOC in LIS community. Through service on the ALA Spectrum Advisory Committee, the co-authors were able to lead projects, establish virtual networking events, support new librarians, and experience professional growth. As a result of this work, they were also introduced to new opportunities and professional relationships. This experience models how one can be more intentional about time and energy and grow leadership skills without changing jobs and moving into a leadership or management position.
- Creator/Author:
- Lam, Nia; McKinney, Michelle; West, Brandon K. (editor), and Galoozis, Elizabeth (editor)
- Submitter:
- Michelle McKinney
- Date Uploaded:
- 01/24/2023
- Date Modified:
- 05/16/2023
- Date Created:
- 2023-01-06
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Student Work
- Description/Abstract:
- The only artist to be featured at all eight Impressionist Exhibitions in Paris was Camille Pissarro. The Impressionist movement emerged during a period of rapid social change and growing industrialization with more people moving to cities. In Pissarro’s works, he specifically concentrated on the conditions of different weather and times of day to alter how he painted scenes of a city. My paper focuses on the Boulevard Montmartre series and his use of building tonal relationships and skill of lighting placement across the fourteen paintings in order to establish a harmonious composition where the day’s essence radiates off the canvas.
- Creator/Author:
- Reinhold, Emily
- Submitter:
- Emily Reinhold
- Date Uploaded:
- 04/25/2023
- Date Modified:
- 04/25/2023
- Date Created:
- 2023-04-20
- License:
- Public Domain Mark 1.0
- 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)
- Type:
- Document
- Description/Abstract:
- This dataset details the force-displacement response of porcine meniscus under tensile-fracture behavior. Samples are cut from the anterior, middle and posterior regions of the meniscus. Each specimen geometry dimension is included.
- Creator/Author:
- Chia-Ying Lin; Kumar Vemaganti, and Long, Teng
- Submitter:
- Teng Long
- Date Uploaded:
- 03/03/2023
- Date Modified:
- 03/03/2023
- Date Created:
- 2020-11
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Data from qualitative study "Employing Strategies to Address Implicit Racial Bias in the Home Visit Setting" Includes: written reflections by FM residents, resident focus group data, commitments-to-change, and 3-month follow up survey data
- Creator/Author:
- Goroncy, Anna
- Submitter:
- Anna Goroncy
- Date Uploaded:
- 03/03/2023
- Date Modified:
- 03/03/2023
- Date Created:
- 2020-01
- License:
- Open Data Commons Attribution License (ODC-By)
- 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
- Type:
- Dataset
- Description/Abstract:
- The Dataset contains raw data that indicates the start and stop time of water flowing at fixtures in the Marian Spencer Hall Cafeteria restroom during hours of operation. The data were collected as part of an effort to develop and test a novel method of measuring flow to calculate the probability that the fixture is busy (fixture p-value). The fixture p-value is one of the parameters necessary to predict peak demand in buildings for pipe sizing purposes. There are two .csv files, a README file and a sample of the data collection template with contact information. The dataset also contains a MATLAB code written to accept data in the suggested format and estimate the fixture probability of use.
- Creator/Author:
- Choudhary, Chandrashekhar ; Omaghomi, Toju; Buchberger, Steven; Wang, Tianshuo, and Tao, Li
- Submitter:
- Toju Omaghomi
- Date Uploaded:
- 12/19/2022
- Date Modified:
- 12/19/2022
- Date Created:
- 2022-12
- License:
- Open Data Commons Open Database License (ODbL)
- Type:
- Dataset
- Description/Abstract:
- Data and code used for the analysis of the effects of weather on the fall migration of eastern monarch butterflies.
- Creator/Author:
- Matter, Stephen F.; Guerra, Patrick ; Parlin, Adam ; Rich, Jeremy, and Taylor, Orley R.
- Submitter:
- Stephen F. Matter
- Date Uploaded:
- 07/03/2022
- Date Modified:
- 11/28/2022
- Date Created:
- 2022
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/03/2022
- Date Modified:
- 11/17/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- Text and Metadata for 14,399 newspaper articles. Transcripts collected from Internet Archive Date Range: 2010-2022 File includes meta/data: - Unique-id (uid) - Title (incl. search term) - Date - Link (url) - Abstract - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- Text and Metadata for 9,061 newspaper articles. Newspapers included: New York Times, Wall Street Journal, & Washington Post Date Range: 2017-2022 File includes meta/data: - Unique-id (uid) - Title (incl. source paper & section name) - Date - Link (url) - Author - Text Text matching the following terms: - space explor* - space mission - space science - spaceship - space tour* - space transport* - spacecraft - space shuttle - outer space - astronom* - astrop* - astrona* - planet - NASA - star trek - star wars - lunar - space flight
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/12/2022
- Date Modified:
- 11/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / Chicago Novel Corpus [nvl] / Newspaper Corpus [nws] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 11/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/05/2022
- Date Modified:
- 11/11/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/04/2022
- Date Modified:
- 11/04/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one from) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] / News [nws] SearchTerm[s] = (one from) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/03/2022
- Date Modified:
- 11/03/2022
- Date Created:
- 2022
- License:
- Open Data Commons Attribution License (ODC-By)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 11/02/2022
- Date Modified:
- 11/02/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- Volume 53 (Fall 2022) of Cincinnati Romance Review. It includes ten articles and four book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/03/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2022
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Volume 49 (Fall 2020) of Cincinnati Romance Review. It includes six articles and five book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/03/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2020
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Vol. 48 (Spring 2020), Cincinnati Romance Review. It includes eight articles and two book reviews.
- Creator/Author:
- Sanz Casasnovas, Olga and Valladares-Ruiz, Patricia
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/01/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2020
- License:
- Attribution 4.0 International
- Type:
- Dataset
- Description/Abstract:
- Volume 46 (Spring 2019) of the academic journal Cincinnati Romance Review (RALL Department). It includes six research articles and nine book reviews.
- Creator/Author:
- Valladares-Ruiz, Patricia and Sanz Casasnovas, Olga
- Submitter:
- Olga Sanz Casasnovas
- Date Uploaded:
- 10/01/2022
- Date Modified:
- 10/10/2022
- Date Created:
- 2019
- License:
- Attribution 4.0 International
- Type:
- Student Work
- Description/Abstract:
- This is a biography of the Shawnee tribal chief Tecumseh. The early childhood of Tecumseh is researched all the way to his death at the Battle of Thames in 1813 in this biography that sticks to the truth and cites sources from different authors. Originally this research project was just a capstone project for a class but as the research accumulated, I found the need to create this biography about Tecumseh. Tecumseh made a confederation of like-minded tribes to combat the encroaching United States' government in the late 18th century and early 19th century. All the information that is presented in the biography has been researched and edited. With more than 50 hours of research involved with this biography, the historical contributions regarding The War of 1812 are noteworthy and the contributions made regarding the killer of Tecumseh are found in this biography as well. This isn't a complete overview of Tecumseh's life, but rather this biography details the life of a Shawnee in a time rich with civil strife during the expansion of the United States after the Northwest Ordinance of 1787. The Heritage Village Musuem in Sharonville, Ohio allowed for me to intern during the summer of 2022 to bolster the accuracy of this biography.
- Creator/Author:
- Ammon, Nathan
- Submitter:
- Nathan Ammon
- Date Uploaded:
- 09/08/2022
- Date Modified:
- 09/08/2022
- Date Created:
- 2022-08-18
- License:
- Public Domain Mark 1.0
- Type:
- Document
- Description/Abstract:
- This document contains data from a 1950 study on polio neutralization in monkeys.
- Creator/Author:
- Sabin, Albert B. (Albert Bruce), 1906-1993
- Submitter:
- Gino Pasi
- Date Uploaded:
- 08/08/2018
- Date Created:
- 1950
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Document
- Description/Abstract:
- This document contains data from a set of tissue culture tests on the polio virus in monkeys.
- Creator/Author:
- Sabin, Albert B. (Albert Bruce), 1906-1993
- Submitter:
- Gino Pasi
- Date Uploaded:
- 08/09/2018
- Date Created:
- 1954
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Document
- Description/Abstract:
- This document contains data from a study of tissue culture tests on monkeys with the polio virus.
- Creator/Author:
- Sabin, Albert B. (Albert Bruce), 1906-1993
- Submitter:
- Gino Pasi
- Date Uploaded:
- 08/09/2018
- Date Created:
- 1954
- License:
- All rights reserved
- Type:
- Document
- Description/Abstract:
- This document contains data from a study of antibodies in animals with the polio virus.
- Creator/Author:
- Sabin, Albert B. (Albert Bruce), 1906-1993
- Submitter:
- Gino Pasi
- Date Uploaded:
- 08/09/2018
- Date Created:
- 1956
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Document
- Description/Abstract:
- This document contains data from a study on antibodies of volunteers with the Polio virus.
- Creator/Author:
- Sabin, Albert B. (Albert Bruce), 1906-1993
- Submitter:
- Gino Pasi
- Date Uploaded:
- 08/09/2018
- Date Created:
- 1956
- License:
- Attribution-NonCommercial-NoDerivs 4.0 International
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Dataset
- Description/Abstract:
- CSV files containing the topic coherence scoring pertaining to datasets of: DocumentCount = 5,000 Corpus = (one of) Federal Caselaw [cas] / Pubmed-Abstracts [pma] / Pubmed-Central [pmc] SearchTerm[s] = (one of) Earth / Environmental / Climate / Pollution / Random 5k documents of a specific corpus Coherence was scored across every combination of: TopicCount: 10-40 Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric] The columns in this file include: Validation_Set: Which search term this scoring pertains to Topics: Number of topics in the model Alpha: Hyperparameter alpha selection from the 6 options above Beta: Hyperparameter beta selection from the 6 options above Coherence: The topic coherence score for the given model-row Perplexity: The perplexity score for the given model-row
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Image
- Description/Abstract:
- Box-and-Whisker visualization of coherence scores for three corpora types: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). This figure is for models matching search-term "climate". Visualizations for other search terms and additional interactive elements available at the related URL below. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/12/2022
- Date Modified:
- 08/12/2022
- Date Created:
- 2022
- License:
- Public Domain Mark 1.0
- Type:
- Image
- Description/Abstract:
- Box-and-Whisker visualization of topic coherence scores for three corpora types: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). This figure is for models matching search-term "climate". Visualizations for other search terms and additional interactive elements available at related URL below. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/12/2022
- Date Modified:
- 08/12/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)
- Type:
- Image
- Description/Abstract:
- Heat map visualization of median coherence scores for three corpora: Caselaw (cas), Pubmed Abstracts (pma), Pubmed Central (pmc). Median coherence scores across all search-term based models ("climate", "earth", "environmental" "pollution") The median is found from 1,116 total coherence scores. Coherence was scored across every combination of: - TopicCount: 10-40 - Hyperparameter-Alpha: [0.01, 0.31, 0.61, 0.91, symmetric, asymmetric] - Hyperparameter-Beta: [0.01, 0.31, 0.61, 0.91, automatic, symmetric]
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Public Domain Mark 1.0
- Type:
- Dataset
- Description/Abstract:
- The data files in this collection are for datasets: Document Count: 5,000 documents Corpus: (one of) Caselaw (cas) / Pubmed Abstracts (pma) / Pubmed Central (pmc) Search Term: (one of) Climate / Earth / Environmental / Pollution Networked Models at Topic Counts: 15, 20 The filename convention is: central_datasetAcronym_searchTerm,topicCount.csv Each row = one topic-node of the networked model The columns in each CSV include: Edges: Connection threshold [e.g. 25% means that row depicts nodes' centrality when the edges in the graph are in the top quartile of strength] ID: Unique ID for the topic-node in the networked model Score: The betweenness centrality score of that topic-node Terms: The top terms of the topic-node
- Creator/Author:
- McCabe, Erin E.
- Submitter:
- Erin E. McCabe
- Date Uploaded:
- 08/10/2022
- Date Modified:
- 08/10/2022
- Date Created:
- 2022
- License:
- Open Data Commons Public Domain Dedication and License (PDDL)