Search Constraints

Start Over
Filtering by: Type of Work Dataset Remove constraint Type of Work: Dataset

Search Results

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

    7p88ch90q?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Theme Coded Literature Review - Does China's One-China Policy Shape China's Foreign Policy?
    Creator/Author:
    Turner, Grant
    Submitter:
    Grant Turner
    Date Uploaded:
    07/23/2021
    Date Modified:
    07/23/2021
    Date Created:
    2019
    License:
    Open Data Commons Attribution License (ODC-By)

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

    6w924d48j?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    List of plant species recognized as invasive in the Midwest Invasive Plant Network (MIPN), and either regulated or informational. Shown are their method of introduction (intentional vs. accidental), and if intentional, whether it be introduced by ornamental, erosion control, feed/fodder/crops, aquarium trade, and/or medicinal or culinary uses. This was determined from a review of online sources and the scientific literature, and comparison to the dissertation by Sarah Reichard (1994).
    Creator/Author:
    Culley, Theresa and Feldman, Tziporah
    Submitter:
    Theresa Culley
    Date Uploaded:
    07/05/2021
    Date Modified:
    07/05/2021
    Date Created:
    July 1, 2021
    License:
    Open Data Commons Attribution License (ODC-By)

  • Vocabulary Count Feature Vectors for Medical School Classifier

    Work
    Type:
    Dataset
    Description/Abstract:
    Classifier algorithms use the features (collectively known as Feature Vectors) of each item in a dataset to assess the classification to which that item belongs. In this classifier approach, each item represents one document containing the application essay combined with unstructured language describing relevant activities of a single applicant. For privacy, the full text of this document is not provided. Instead, each document is represented only by its features. The feature vector for this classifier is based on the term frequency for each of the identified terms. E.G. Doc_A contains 0 occurrences of any terms identified as family medicine vocabulary, and 10 occurrences of terms from the the non-family-medicine vocabulary.
    Creator/Author:
    Boylan, Andrew and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/14/2021
    Date Modified:
    05/14/2021
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Vocabulary Comparison of Medical School Applications

    Work
    Type:
    Dataset
    Description/Abstract:
    W2V takes terms from a large corpus of text and models them onto a vector space, based on word associations from your dataset. These Word Associations take into account each word's immediate context (its ten neighboring words).​ Following the data modeling (large-scale unstructured text), The platform then generates a visualization of this vector space, which lets us perform analysis e.g. detect synonymous/synonym-ish words and highlight related words. At the heart of this project, is W2V's ability to identify key words that were more frequent - and more unique - to each group using results from 2 different W2V models – one for each group's application texts.​ We coded these Key Terms into categories, then analyzed those categories for overarching themes.​ ​
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/14/2021
    Date Modified:
    05/14/2021
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • IRS Classification of Ohio Non-Profit Organizations

    Work
    Type:
    Dataset
    Description/Abstract:
    Each row in this dataset depicts a single non-profit organization (NPO), labeled by their Employer Identification Number (EIN). Each row contains the National Taxonomy of Exempt Entities (NTEE) code assigned to each NPO by the IRS (if any) and the official Essential/Non-Essential status connected to that NTEE code.
    Creator/Author:
    Jones, Michael and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    05/07/2021
    Date Created:
    2020-11-01
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Hand Coded Essential Classification of Ohio Non-Profit Organizations

    Work
    Type:
    Dataset
    Description/Abstract:
    Each row of this dataset depicts a single Ohio-based non-profit organization (NPO) (identified by Employer Identification Number) and a hand-coded determination of their 'essential' status. This determination of essential status is guided by the official IRS definition and based strictly on the NPO's own mission statement and activities language supplied in their 2019 tax form.
    Creator/Author:
    Jones, Michael and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    05/06/2021
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

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

    Work
    Type:
    Dataset
    Description/Abstract:
    This CSV file contains the topic distribution of each EIN as uncovered using six parallel Latent Dirichlet Allocation (LDA) Topic Models. Each row depicts a topic and topic-score associated with an Ohio NPO (identified by Employer Identification Number) generated from one model run. The sum of topic scores possible for every row associated with an EIN therefore will not exceed 6.0 (6 models x 100%) Topic scores below .01 (1%) are not included. Each topic from the models is further identified as Essential/Non-Essential by subject matter expert, Dr. Michael Jones, guided by the official IRS definition. The topic models are generated on unstructured text language from the mission statement and activities language taken from the 2019 tax forms of Ohio non-profit organizations.
    Creator/Author:
    McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    05/06/2021
    Date Modified:
    09/20/2021
    Date Created:
    2020-10-03
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • A Dataset of Roman Fish-Salting and Fulling Workshops

    K0698894r?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    This dataset contains quantitative and qualitative data about the archaeological remains of fish-salting and fulling workshops throughout the ancient Mediterranean world (Europe, North Africa, and Western Asia), primarily dating to the Roman period. The data provided the basis for the two case studies in the author's dissertation (Motz, C.F. 2021. "The Knowledge Networks of Workshop Construction in the Roman World." Ph.D. diss., University of Cincinnati). The tables contained in this dataset were exported from the author's FileMaker database. Detailed information about the structure and contents of this dataset may be obtained by consulting Chapter 2 of the author's dissertation.
    Creator/Author:
    Motz, Christopher
    Submitter:
    Christopher Motz
    Date Uploaded:
    02/18/2021
    Date Modified:
    02/18/2021
    Date Created:
    2021
    License:
    Open Data Commons Open Database License (ODbL)

  • Synchrony

    Work
    Type:
    Dataset
    Description/Abstract:
    Data set and code for paper "Population extinction and metapopulation synchrony: a reassessment" The data consists of Z-transformed correlations and ranks in population growth among treatment and experimental populations of the butterfly Parnassius smintheus before during and after experimental extinction. A second file contains the number of pair-wise dispersal events for these populations during the same period. R files used to run the analysis are also included.
    Creator/Author:
    Matter, Stephen F.
    Submitter:
    Stephen F. Matter
    Date Uploaded:
    02/09/2021
    Date Modified:
    06/29/2021
    Date Created:
    2021
    License:
    Open Data Commons Open Database License (ODbL)

  • Bayesian Optimization of Equilibrium States in Elastomeric Beams - Grid Search Database

    Work
    Type:
    Dataset
    Description/Abstract:
    Published in conjunction with the below manuscript, this database includes all the output files from a grid search across a design domain governing elastomeric tilted beams according to a Fourier series-based parameterization. For full details, please reference the text. For a description of this database's organization, please see "ReadMe.txt." Yoo, D., Hertlein, N., Chen, V. W., Willey, C. L., Gillman, A., Juhl, A., Anand, S., Vemaganti, K., and Buskohl, P. R. (2021). "Bayesian Optimization of Equilibrium States in Elastomeric Beams." ASME. J. Mech. Des. 143(11): 111702.  https://doi.org/10.1115/1.4050743
    Creator/Author:
    Yoo, David; Juhl, Abigail; Vemaganti, Kumar; Willey, Carson L.; Gillman, Andrew; Hertlein, Nathan; Anand, Sam; Chen, Vincent W., and Buskohl, Philip R.
    Submitter:
    Nathan Hertlein
    Date Uploaded:
    12/10/2020
    Date Modified:
    06/07/2021
    License:
    Open Data Commons Attribution License (ODC-By)

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

    H128ng37q?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Data collected to identify use of special education vouchers in OH, GA and FLA and if information provided regarding loss of least restrictive environment civil rights.
    Creator/Author:
    Hulgin, K. and Fitch, E. F.
    Submitter:
    Kathleen Hulgin
    Date Uploaded:
    11/19/2020
    Date Modified:
    11/19/2020
    Date Created:
    2019-11-01
    License:
    Public Domain Mark 1.0

  • COVID 19 literature NLP models – Viral outbreak topic tuning

    Work
    Type:
    Dataset
    Description/Abstract:
    The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
    Creator/Author:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Kannayyagar, Suraj; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Lee, James; Powers, Margaret, and Hagedorn, Philip
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/30/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    CC0 1.0 Universal

  • COVID 19 literature NLP models – Viral outbreak models formatted

    Work
    Type:
    Dataset
    Description/Abstract:
    The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
    Creator/Author:
    Koshoffer, Amy; Hagedorn, Philip ; Latessa, Jenny; Lee, James; Power, Margaret; Luken, Sally; McCabe, Erin; Wu. Danny; Washington, Dorcas; Kannayyagar, Suraj, and Edgerton, Ezra
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/29/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    CC0 1.0 Universal

  • COVID 19 literature NLP models - Viral outbreak model centrality files

    9c67wp55v?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    The data sets were derived from coronavirus related scientific literature using the CORD-19 dataset released by the Allen Institute of Artificial Intelligence as of July 14, 2020, using the Elasticsearch engine hosted by the Digital Scholarship Center (DSC). Through indexing the full-text and the metadata of the article corpus, the research team generated a full-corpus model and 7 different models corresponding to key viral outbreaks from the past several decades' coronaviruses (SARS-CoV, MERS-CoV, and SARS- CoV-2) and non-coronaviruses (HIV, Zika, H1N1, and Ebola). The targeted subsets of the articles used two or more occurrences of virus-specific keywords drawn from conventions established by the World Health Organization.
    Creator/Author:
    Koshoffer, Amy; Wu, Danny; Latessa, Jenny; Lee, James; Luken, Sally; McCabe, Erin; Edgerton, Ezra; Washington, Dorcas; Kannayyagar, Suraj, and Powers, Margaret
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/29/2020
    Date Modified:
    11/05/2020
    Date Created:
    2020-07
    License:
    CC0 1.0 Universal

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

    V118rf87g?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    This data set is associated with: Turner, G. W. (2014). Proposal for the establishment of a National Service Learning Academy and complimentary Action Research Program at the University of Cincinnati. University of Cincinnati.  https://doi.org/10.7945/2hmt-1h17.
    Creator/Author:
    Turner, Grant
    Submitter:
    Grant Turner
    Date Uploaded:
    08/30/2020
    Date Modified:
    08/30/2020
    Date Created:
    2014
    License:
    Attribution-NonCommercial-ShareAlike 4.0 International

  • List of Articles used to Generate Archaeology/Bone Topic Models

    Work
    Type:
    Dataset
    Description/Abstract:
    This list contains the titles and publication years of 599 articles from two Archaeology journals, Ancient Mesoamerica and Latin American Antiquity that contain the term, 'bone'. The articles named in this list were used as the dataset to generate LDA topic models for related research.
    Creator/Author:
    Jackson, Sarah E. and McCabe, Erin E.
    Submitter:
    Erin E. McCabe
    Date Uploaded:
    07/29/2020
    Date Modified:
    07/29/2020
    Date Created:
    December 1, 2019
    License:
    Open Data Commons Attribution License (ODC-By)

  • Topic Models of Archaeology Articles referencing 'Bone'

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

  • Metadata: VC Handbook

    T435gf384?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Transportation

    Dv13zv760?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Patent

    Rj430597t?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Marketing

    Nc580p09n?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Sports Center

    Ns064741f?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Codes

    Tb09j7131?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Cafeteria Guidlines

    C534fq33q?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Unclear

    Mg74qn63p?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Transporation

    Ww72bc87j?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Photographs

    Dv13zv75q?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Main Building

    Work
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Living Quarters

    8910jw24q?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Exterior

    Cz30pv032?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Elevator

    2v23vv86g?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: Cafeteria

    J67315301?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/09/2020
    License:
    All rights reserved

  • Metadata: University of Cincinnati

    6q182m636?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with more in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/02/2020
    License:
    All rights reserved

  • Metadata: Press

    M900nv94z?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with more in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/02/2020
    License:
    All rights reserved

  • Metadata: VC Letters of Interest

    Dr26xz93d?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with more in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/02/2020
    License:
    All rights reserved

  • Metadata: Cincinnati Enquirer

    3r074w158?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with more in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/02/2020
    License:
    All rights reserved

  • Metadata: Victory City Outreach

    Cz30pv02s?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with more in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/02/2020
    License:
    All rights reserved

  • Metadata: VC Foundation

    Work
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with more in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/02/2020
    License:
    All rights reserved

  • Metadata: Building Process/Logistics

    Br86b473k?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    Metadata sheet with more in-depth information regarding files and the location of physical files.
    Creator/Author:
    Center, Simpson
    Submitter:
    Simpson Center
    Date Uploaded:
    06/02/2020
    License:
    All rights reserved

  • Transition to Remote Learning During the COVID-19 Pandemic: Lessons from Political Science Courses and Recommendations for Best Practices

    Work
    Type:
    Dataset
    Description/Abstract:
    Dataset Summary: This dataset studies the main challenges that students in these institutions faced during the transition from face-to-face (f2f) to remote mode of instruction and the resources that they used to minimize these adversities. In order learn about their experiences during this transition, I surveyed at the end of the Spring Semester students enrolled in two Political Science (POL) classes. The results showed that majority of students struggled with stress caused by moving away from campus and self-quarantine leading to deteriorating mental and physical health. Concerns about student health along with distraction at home were identified as top adversities for student well-being. Survey results also showed that educational resources can have varying impact on student learning in introductory and upper-level courses. For example, lecture notes, power point presentations and online videos can be better resources for remote instruction in an introductory class, while class meetings via video conferencing platforms can be the preferred resource of instruction in upper-level courses. Below is the questionnaire used for this study: Survey Questionnaire: Transition to Remote Instruction During COVID-19 Crisis: Qualtrics Link for POL1080:  https://artsciuc.co1.qualtrics.com/jfe/form/SV_bd7cF1OF6eNeYBv Qualtrics Link for POL2074:  https://artsciuc.co1.qualtrics.com/jfe/form/SV_3xegnXy4LFSC2t7 1. As you know, the University of Cincinnati has transitioned from face-to-face to remote instruction for Spring Semester since March 14, 2020 due to COVID-19. Once it was decided to switch to remote instruction, how did you expect that this decision would impact your performance in this class? I thought it would improve my performance I thought it would impair my performance I did not think that it would impact my performance I don’t know 2. Based on your experience with remote instruction, how do you think the new form of instruction impacted your performance in this class? I did better in this class after we switched to remote teaching I did worse in this class after we switched to remote teaching The switch to remote teaching had no impact on my performance I don’t know. 3. Do you agree or disagree with the following statement: “I felt that the instructor in this class provided timely instructions and information about the switch from face-to-face to remote form of content delivery in the class”? Completely agree Partially agree Partially disagree Completely disagree Not sure/ don’t know. 4. Do you agree or disagree with the following statement: “I felt that the instructor in this class cared about my performance in the class once we switched from face-to-face to remote form of content delivery in the class”? Completely agree Partially agree Partially disagree Completely disagree Not sure/ don’t know. 5. Which of the following course resources (if available) helped you ease the transition from face-to-face to remote instruction (check all that apply)? Online instructional videos created or made available by the instructor Instructor-led class meetings via a web-conferencing platform (e.g. Webex, Zoom, MS Teams, Skype) Meetings with the instructor via a web-conferencing platform (e.g. Webex, Zoom, MS teams, Skype) during their office hours Instructor’s lecture notes and presentation materials (e.g. Power Point Slides) Online quizzes or interactive questions administered via web platforms (e.g. Canvas, Blackboard, Echo 360 or others). Online forums made available for this course Assigned course readings Book publisher’s online resources (websites, book ancillaries, etc.) Supplemental assistance from teaching assistants (e.g. office hours, online sessions, etc.) Supplemental peer-led review sessions (e.g. Learning Assistant Sessions, Supplemental Instruction Sessions, etc.) Group activities with peers enrolled in the class (e.g. study sessions via conference platforms) Others (please list) _________. 6. Which one of the following course resources was most helpful to you in the transition from face-to-face to online mode of content delivery (select only one)? Online instructional videos created or made available by the instructor Instructor-led class meetings via a web-conferencing platform (e.g. Webex, Zoom, MS Teams, Skype) Meetings with the instructor via a web-conferencing platform (e.g. Webex, Zoom, MS teams, Skype) during their office hours Instructor’s lecture notes and presentation materials (e.g. Power Point Slides) Online quizzes or interactive questions administered via web platforms (e.g. Canvas, Blackboard, Echo 360 or others). Online/ web discussion forums made available for this course Assigned course readings Textbook publisher’s online resources (websites, book ancillaries, etc.) Supplemental assistance from teaching assistants (e.g. office hours, online sessions, etc.) Supplemental peer-led review sessions (e.g. Learning Assistant Sessions, Supplemental Instruction Sessions, etc.) Group activities with peers enrolled in the class (e.g. study sessions via web-conferencing platforms) Others (please list) _________. 7. Which of the following, do you think, impacted negatively your performance in this class during the transition from face-to-face to remote instruction (please select all relevant options)? I had to move away from campus in the middle of the semester My physical or mental health deteriorated after we switched to remote instruction I missed face-to-face interaction with the instructor, the TAs and the undergrad assistant (SI) I did not have stable and reliable Internet connection at home I had a lot of distraction at home I lost my job/ income due to the COVID-19 epidemic I had to take an additional job to support myself and/ or my family Self-quarantine and/ or social distancing caused me a lot of stress The news about the COVID-19 epidemic and concerns about my health and the health of my loved ones caused me a lot of stress Other (please list) ___________. 8. Which of the following, do you think, impacted negatively your performance in this class during the transition from face-to-face to remote instruction (please select only one options)? I had to move away from campus in the middle of the semester My physical or mental health deteriorated after we switched to remote instruction I missed face-to-face interaction with the instructor, the TAs and the undergrad assistant (SI) I did not have stable and reliable Internet connection at home I had a lot of distraction at home I lost my job/ income due to the COVID-19 epidemic I had to take an additional job to support myself and/ or my family Self-quarantine and/ or social distancing caused me a lot of stress The news about the COVID-19 epidemic and concerns about my health and the health of my loved ones caused me a lot of stress Other (please list): 9. Based on your experience with this course’s transition from face-to-face to remote instruction for Spring Semester 2020, what aspects of this transition had greatest values for you? Open ended question: 10. Based on your experience with this course’s transition from face-to-face to remote instruction for Spring Semester 2020, what changes would you recommend to ease this transition in the future? Open ended question: 11. What is your gender? Male Female Other/ prefer not to disclose 12. What is your major? Political Science International Affairs Interdisciplinary/ Cyber Strategy and Policy Interdisciplinary/ Law and Society Another major (please specify) 13. What is your class level? First year (freshman) Second year (sophomore) Third year (junior) Fourth year (senior) 14. What is your race or ethnicity? White Black or African American Asian American Indian or Alaska Native Native Hawaiian or Pacific Islander International student Other 15. What do you think your grade will be for this course? A or A- B+, B or B- C+, C or C- D+, D or D- F Nor sure/ don't know
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    05/14/2020
    Date Modified:
    05/14/2020
    Date Created:
    2020-05-13
    License:
    All rights reserved

  • 15 participants with dietary intake and measurements

    Work
    Type:
    Dataset
    Description/Abstract:
    Fifteen participants from one worksite setting, an academic medical research university, were engaged in a nutrition intervention beginning in March, 2019, lasting 12 weeks. They were measured for height, weight, circumferences (chest, iliac waist, mid-point waist, hips) blood pressure, and dietary intake X 3 at the start and after 3 months.
    Creator/Author:
    Leslie, Jamie
    Submitter:
    Jamie Leslie
    Date Uploaded:
    01/31/2020
    Date Modified:
    01/31/2020
    Date Created:
    2019-04
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • NATO and the European Union’s Response to Peacebuilding

    Work
    Type:
    Dataset
    Description/Abstract:
    The NATO and the EU Peacebuilding Missions Dataset is created to use fuzzy seta Qualitative Comparative Analysis (fsQCA) analysis as a method of researching how NATO and the EU missions’ outcomes are influences by organizational assets and decision-making in both organizations. Outcome pertaining to these two sets of missions are intended to measure various aspects of organizational efficacy. There are two groups of variables – condition variables and outcome variables. In the next few sections, we will explain how these two groups of variables were generated, what existing sources and datasets were used and how mission indicators were generated. See attached research note for more detailed information. Condition Sets: Description By and large, conditions sets that have been generated measure organizational assets for these NATO and EU missions, as well as patterns in their decision-making process. Two critical organizational assets used for both sets of missions are their annual operational budget and their annual deployed personnel. The dataset contains two control variables measuring operational legitimacy – number of contributing nations and number of UN resolutions passed in relevance to the situation in the area of deployment for the duration of the EU and NATO Mission. Operational Duration – duration of the operation (in months). For ongoing missions and operations, we have used December 31, 2019 as the end date. All data reflect occurrences no later than December 31, 2019. Type of Operation – based on their mandate, operations are classified as civilian (coded as 0), military (coded as 1) and hybrid (i.e. with military and civilian components, coded as 0.5). Annual Operational Budget – total annual mission budget in USD. Sources include SIPRI yearbook and peace operations database. In cases of missing data from the SIPRI yearbook, mission factsheets and original data from the mission have been used. This latter technique applies for the following missions: AMUK, AVSEC, BAM1, BAM2, CAP1, CAP2, MAM1, NAVF1, NAVF2, TMC1, EUAMI. If data is reported in EUR, average exchange rate for the duration of the mission has been used to convert the cost. Data has been adjusted to reflect operational budget over a 12-month period. Average Annual Mission Personnel – it reflects the average total number of personnel/ staff supporting the NATO or EU peacebuilding mission per annum. Sources have been collected from SIPRI yearbook based on reportings for actual deployments on the ground. In cases when no data has been reported I the SIPRI yearbook/ peace operations dataset, mission factsheets and original data from the mission have been used. The data has been averaged and adjusted for a 12-month period. Days to Launch – describes the number of days needed from the time a decision has been made by the IO top decision-making body (the European Council and NAC) to launch the mission to the time that the mission is officially declared “operational.” If no declaration that the mission is “fully operational” exists, landmark indicators that the mission is fully operational include: ceremony on the ground marking the beginning of the mission, the appointment of mission commander or first recoded operational presence involving activity on the ground. Sources include official EU and NATO documents announcing the decision to create the peacebuilding operation as well as official documents, press releases and reports in reliable media outlets (including New Agencies) documenting an event that would indicate the mission is “fully operational.” Number of Contributing Nations –highest reported number of contributing nations for the duration of the NATO and the EU peacebuilding operation. UN Security Council Resolutions – total number of UN Security Council (UNSG) resolutions relevant for the area of conflict adopted for the duration of the NATO and the EU mission. In cases when UNSC resolutions are relevant for multiple NATO and EU peacebuilding missions those have been reported to all relevant missions. Outcome Sets: Description Outcome sets include various indicators created to measure operational efficacy. They include annual events contributing toward peace, conflict and the mission’s functioning, annual fatalities and annual deaths among mission personnel, as well as annual difference in fatalities. A more detailed description of these indicators is included below: Annual Peace Events – this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have contributed for the peace process in the conflict area where NATO and EU mission have been deployed. Examples of peace events include steps taken to contribute to the peace process (e.g. creation of buffer zone, cession of hostilities, meeting intended to cease fire or set up the peace process, political events related to or contributing toward the peace process and successful conclusion of a peace agreement. It may also include a decision of an international body (e.g. UN Security Council, UN General Assembly or UN Secretary General, as well as a decision made by the NATO and the EU D-M bodies that contributes toward the peace process in the areas where the mission operates. For ongoing missions is December 31, 2017 the last date when annual peace events are recoded. Annual Conflict Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that have increased the conflict and the conflict potential in the area where NATO and EU mission have been deployed. Instances include resumption of hostilities among warring parties, occurrence of attacks, clashes, eruption of violence, the killing of civilians, military and peacemaking personnel and other violence-related events that contribute toward instability in the mission’s area. For ongoing missions is December 31, 2017 the last date when annual conflict events are recoded. Annual Mission-related Events -- this is an annual indicator based on chronologically recorded events by the SIPRI yearbook that measures events related to functioning of the mission – the decision to launch, the actual launch, implementation, transfer of authority and/ or mandate, transformation and termination of the mission. It also includes events that reflect decisions made by the contributing nations or sponsoring IOs intended to impact mission’s performances (e.g. decisions related to funding, control and command, transformation of mission mandate and rules and other similar events). For ongoing missions is December 31, 2017 the last date when annual mission-related events are recoded. Average Annual Fatalities – this indicator reports how many average annual civilian deaths have been recorded for the duration of the mission. The data is drawn from the Armed Conflict Dataset (ACD) managed by the London-based International Institute for Strategic Studies ( https://acd.iiss.org/member/datatools.aspx). Average Annual Mission Casualties – average annual number of deaths among peacebuilding personnel as reported in SIPRI yearbook/ peace operations database for the duration of the mission. Authors have used discretion to determine the accuracy in cases when there is discrepancy of reported data. Fatalities Annual Difference – an indicator of differenced annual data of civilian casualties on the ground for the duration of the mission. The indicator is calculated as follows: Differenced Fatalities = Ʃ (CasualtiesY1-Y2 … Casualties Yn-Y(n-1))/ Duration of the mission (in years). It is intended to capture improvement of situation on the ground as a result of presence of the peacebuilding effort. Condition Sets: Calibration and Rationale Annual Operational Budget – mission budget reflects resources USD 5 million or less indicate fully out while USD 100 million or more would indicate fully in. A budget of USD 30 should be the watershed borderline of “nether in, not out.” [5-100 million] Average Annual Mission Personnel – this indicator draws distinction between larger well-resourced missions and smaller missions with limited assets. By and large, missions with 20 personnel or less are fully out, while those with 20,000 or more are fully in. The borderline (net hither in, not out) is 130 people. Days to Launch – the speed with which the decision is taken indicates how decision-making operated in the case of this mission. D-M that took 5 days or less should be fully out (in, change direction) while D-M 150 days or more should be fully in (out, change direction). 30 days (1 month) should be the neither in, nor out border. Number of Contributing Nations –control indicator that demotes how high number of contributing nations contribute toward greater legitimacy (30 or more countries marks fully in), while 5 or fewer nations marks fully out. The “nether fully in, nor fully out” is at 15 nations. UN Security Council Resolutions – total number of UNSC resolutions can vary, fully out is at 0 resolutions while fully in at 50 or more. Since moist of the missions are shorter, Nether fully in, not fully out would be at 8 UNSC resolutions. [Inductive] Operational Duration – 1 year (12 months) denotes fully out (i.e. short-term mission) while 10 year 120 months denotes fully in; nether in not out would be for missions lasting 5 years (60 months). In other words, a decade is too long, a year is to short, five years is in the middle. Outcome Variables: Calibration and Rationale Annual Peace Events – this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 3 events per annum is fully in. 0.8 event is nether in not out. Annual Conflict Events -- this variable measures the occurrence of conflict-related events – 0 events per annum is fully out; 4 events per annum is fully in. 1 event is nether in not out. Annual Mission-related Events -- this variable measures the occurrence of peace-related events – 0 events per annum is fully out; 1 events per annum is fully in. 0.3 event is nether in not out. Average Annual Fatalities – this set measures average number of annual fatalities for the duration of the mission. Cases with 0 fatalities are fully out; cases with 10,000 fatalities are fully in. 1,000 fatalities represent “nether in, not out” value. Fatalities Annual Difference – this is an indicator that measures the average year-to-year difference in number of fatalities for the duration of the conflict. -50 casualties is fully out (i.e. average growth of casualties by 50 per annum) as this indicator reflects low mission efficacy. 500 is fully in. This number indicates high efficacy; it denotes an average annual decline of casualties by 500 people. If the average number of casualties remains unchanged, then 0 denotes nether in, nor out. Average Annual Mission Casualties – this indicator measures average number of annual casualties for the duration of the mission. 0 casualties is fully out; 500 casualties is fully in. 0.5 is nether in, nor out.
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    08/04/2019
    Date Modified:
    10/15/2021
    Date Created:
    2019-08-01
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Impact of Interactive Software in Intro POL Courses

    Work
    Type:
    Dataset
    Description/Abstract:
    The aims of this study is to evaluate the impact of interactive student response software (SRS technology) in large introductory classes in Political Science taught at the University of Cincinnati. Getting the students engaged in these classes has been one of the main priorities of the College of Arts and Sciences. This study draws on data from Introduction to International Relations offerings from Fall 2012 to Spring 2018, some of which have used interactive software while others have not used any software. Additionally, some offerings have had an assigned supplemental instructor (IS) while others have not had SI. The overall aim is to evaluate whether these instructional innovations have helped improved student performance in this class. The main hypothesis tested during the study is that availability of SRS technology tends to improve student performance during exams. The secondary hypothesis is that the availability of more advanced (second-generation) student response technology (such as Echo 360) tends to improve students performance in class in comparison to earlier (first-generation) SRS devices (known as “clickers”). Background and significance The positive impact of SRS engagement technology on student performance the across different disciplines been well documented in the literature (Marlow et al 2009; Kam and Sommer 2006; Prezler et al 2007 and others). Most of the literature focuses on first generation student response system, also known as clickers (Elliott 2003; Riebens 2007; Crossgove and Curan 2008, Shapiro 2009). Some of the studies focus on the use of this technology without a control group (Beavers 2010; DeBourgh 2008; Kennedy and Cutts 2005; Sprague and Dahl 2010) while others discuss how personal response software impact student performance throughout the whole semester (Evans, 2012). This study differs from existing ones in several ways. First, by collecting data over 5-year period, not only can we compare groups of students using SRS systems with those who don’t but also we can compare offerings using first-generation SRS technology (e.g. the “clickers”) and those using second-generation SRS software (such as Echo 360) that contains more advanced interactive features. Second, the study allows comparison of the SRS impact on different course components and requirements. Third, it evaluates the impact of the student response system in combination with other techniques used in a large classroom such as supplemental instruction or SI. This new setting offers valuable insights about the impact of different types of SRS technology and other interactive techniques designed to engage students in large classrooms. Approach and Source of records Records for student performance collected throughout the whole semester for each student. Demographic information for the students enrolled in class collected from the course rosters and from the University of Cincinnati’s student information system Catalyst ( https://catalyst.uc.edu/). All records are electronic. Those that are not available on Catalyst but are generated as a part of the student performance are currently stored in excel format by the instructor and researcher in an external USB drive which is only accessible to the instructor and PI (same person). No other person has access to the data. The research does not involve the collection of data or other results from individuals that will be submitted to, or held for inspection by, the FDA. No part of the research involves any data that will be provided (in any form) to a pharmaceutical, medical device or biotech company.
    Creator/Author:
    Ivanov, Ivan
    Submitter:
    Ivan Ivanov
    Date Uploaded:
    07/24/2019
    Date Modified:
    07/24/2019
    Date Created:
    November 30, 2018
    License:
    All rights reserved

  • Norris Thesis Dataset Archival

    Work
    Type:
    Dataset
    Description/Abstract:
    Raw data files for Norris thesis "The Mystery Interval: hydrologic changes and circulation pattern changes?" additional information about each data file in "read.me" file.
    Creator/Author:
    Norris, Nathaniel
    Submitter:
    Nathaniel Norris
    Date Uploaded:
    06/28/2019
    Date Modified:
    06/28/2019
    Date Created:
    2019
    License:
    All rights reserved

  • Image-guided, controlled ultrasound ablation of rabbit liver and VX2 tumor

    Work
    Type:
    Dataset
    Description/Abstract:
    This data set contains ultrasound IQ echo data with corresponding co-registered scanned, TTC-stained tissue sections of rabbit liver with VX2 tumor, after in-vivo ultrasound ablation controlled by echo decorrelation imaging. IQ data and associated parameters are in files *data.mat; corresponding tissue sections are in files *.png, and trials parameters are provided in Parameters*.mat and *.csv files. Further details are provided in the included dissertation (Abbass 2018): see chapter 4, figures 4.4-4.8, and the Appendix.
    Creator/Author:
    Mast, T. Douglas
    Submitter:
    T. Douglas Mast
    Date Uploaded:
    05/22/2019
    Date Modified:
    05/31/2019
    License:
    Attribution 4.0 International

  • Aniba DNA sequence matrices

    Work
    Type:
    Dataset
    Description/Abstract:
    Matrices of DNA sequences used to generate the phylogeny of Aniba rosiodora and related species (Lauraceae) presented in the manuscript entitled "Chemical and genotypic variations in Aniba species from the Amazonian forest"
    Creator/Author:
    Tepe, Eric
    Submitter:
    Eric Tepe
    Date Uploaded:
    05/17/2019
    Date Modified:
    05/17/2019
    Date Created:
    2019-05-16
    License:
    Open Data Commons Public Domain Dedication and License (PDDL)

  • Rainbow

    Work
    Type:
    Dataset
    Description/Abstract:
    Magma programs to chapter 5 of the book "Multivariate Public Key Cryptosystems" by Ding, Petzoldt and Schmidt. For the rainbow cryptosystems load "keygen.txt'; will generate the files public_key.txt and private_key.txt, which are then used via load "sign.txt"; to genertate the signature of a randomly generated document, and by load "verify.txt"; to chack that it is a valid signature
    Creator/Author:
    Petzoldt, Albrecht; Schmidt, Dieter Sam, and Ding, Jintai
    Submitter:
    Dieter Sam Schmidt
    Date Uploaded:
    03/09/2019
    Date Modified:
    03/09/2019
    License:
    Public Domain Mark 1.0

  • Increased Programmed Death-Ligand 1 is an Early Epithelial Cell Response to Helicobacter pylori Infection. Holokai et al., 2018

    Work
    Type:
    Dataset
    Description/Abstract:
    ABSTRACT Helicobacter pylori (H. pylori) is the major risk factor for the development of gastric cancer. Our laboratory has reported that the Sonic Hedgehog (Shh) signaling pathway is an early response to infection that is fundamental to the initiation of H. pylori-induced gastritis. H. pylori also induces programmed death ligand 1 (PD-L1) expression on gastric epithelial cells, yet the mechanism is unknown. We hypothesize that H. pylori-induced PD-L1 expression within the gastric epithelium is mediated by the Shh signaling pathway during infection. To identify the role of Shh signaling as a mediator of H. pylori-induced PD-L1 expression, human gastric organoids generated from either induced pluripotent stem cells (HGOs) or tissue (huFGOs) were microinjected with bacteria and treated with Hedgehog/Gli inhibitor GANT61. Gastric epithelial monolayers generated from the huFGOs were also infected with H. pylori and treated with GANT61 to study the role of Hedgehog signaling as a mediator of induced PD-1 expression. A patient-derived organoid/autologous immune cell co-culture system infected with H. pylori and treated with PD-1 inhibitor (PD-1Inh) was developed to study the protective mechanism of PD-L1 in response to bacterial infection. H. pylori significantly increased PD-L1 expression in organoid cultures 48 hours post-infection when compared to uninfected controls. The mechanism was cytotoxic associated gene A (CagA) dependent. This response was blocked by pretreatment with GANT61. Anti-PD-L1 treatment of H. pylori infected huFGOs, co-cultured with autologous patient cytotoxic T lymphocytes and dendritic cells, induced organoid death. H. pylori-induced PD-L1 expression is mediated by the Shh signaling pathway within the gastric epithelium. Cells infected with H. pylori that express PD-L1 may be protected from the immune response, creating premalignant lesions progressing to gastric cancer.
    Creator/Author:
    Zavros, Yana
    Submitter:
    Yana Zavros
    Date Uploaded:
    12/21/2018
    Date Modified:
    12/21/2018
    Date Created:
    License:
    All rights reserved

  • Air Monitoring for East Liverpool Water Treatment Plant - CARES Data Set 5

    Ft848r62d?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-12 to 2012-01-28 at the East Liverpool Water Treatment Plant, in East Liverpool, Ohio (40.639501 , -80.523561). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese The data was collected using the TO-15 collection systems for air monitoring device. (reference -  https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf) The files included are: The raw data - EastLiverpool_WaterTreatmentPlant_Raw.csv . Aggregated monthly averages of the raw data - EastLiverpool_WaterTreatmentPlant_Processed.csv. How the raw data are processed into monthly averages - Marietta_EastLiverpool_WaterTreatmentPlant_WorkingFile.xlsx. How the video is generated- EastLiverpool_WaterTreatmentPlant.ppt. Video - EastLiverpool_WaterTreatmentPlant- generated from EastLiverpool_WaterTreatmentPlant.ppt.
    Creator/Author:
    Yao, Zhiyuan; Hilbert, Tim, and Haynes, Erin
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/27/2018
    Date Modified:
    07/11/2019
    Date Created:
    2009-01 to 2018-04
    License:
    CC0 1.0 Universal

  • Air Monitoring for East Liverpool East Elementary School - CARES Data Set 4

    K930bz14c?file=thumbnail
    Type:
    Dataset
    Description/Abstract:
    This data set and accompanying files represents air monitoring data collected by the Environmental Protection Agency from 2009-08-12 to 2012-01-28 at the East Liverpool East Elementary School, in East Liverpool, Ohio (40.635093 , -80.545558). The variables of interest were the amount of manganese and lead in the air measured as PM10 particle size. The visualizations were created from monthly averages for the concentration of airborne manganese. The data was collected using the TO-15 collection systems for air monitoring device. (reference -  https://www3.epa.gov/air/sat/pdfs/VocTechdocwithappendix1209.pdf) The files included are: The raw data - EastLiverpoolEastElementarySchool_Raw.csv . Aggregated monthly averages of the raw data - EastLiverpoolEastElementarySchool_Processed.csv. How the raw data are processed into monthly averages - Marietta_EastLiverpoolEastElementarySchool_WorkingFile.xlsx. How the video is generated- EastLiverpoolEastElementarySchool.ppt. Video - EastLiverpoolEastElementarySchool- generated from EastLiverpoolEastElementarySchool.ppt.
    Creator/Author:
    Yao, Zhiyuan; Hilbert, Tim, and Haynes, Erin
    Submitter:
    Amy Koshoffer
    Date Uploaded:
    10/27/2018
    Date Modified:
    07/11/2019
    Date Created:
    2009-08-12 to 2012-01-28
    License:
    CC0 1.0 Universal