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  • Microsatellite analysis of Invasive Wintercreeper (Euonymus fortunei), associated cultivars, and invasive E. alatus

    Dataset thumbnail: Microsatellite analysis of Invasive Wintercreeper (Euonymus fortunei), associated cultivars, and invasive E. alatus
    Type:
    Dataset
    Description/Abstract:
    This microsatellite dataset was constructed using eight microsatellite loci with 270 individual samples, representing wild population of Euonymus fortunei in Ohio, Kentucky, Kansas, and Minnesota. Also represented are multiple individuals from several Euonymus cultivars and also wild E. alatus (burning bush) from Ohio. This database is published as Elam RJ and Culley TM (2023) Genetic Analysis of Invasive Spread of Euonymus fortunei (Wintercreeper), a Popular Ornamental Groundcover. Invasive Plant Science and Management.
    Creator/Author:
    Culley, Theresa and Elam, Robert
    Submitter:
    Theresa Culley
    Date Uploaded:
    07/08/2023
    Date Modified:
    11/24/2023
    Date Created:
    2023-07-01
    License:
    Open Data Commons Attribution License (ODC-By)

  • IRS Classification of Ohio Non-Profit Organizations

    Dataset thumbnail: IRS Classification of Ohio Non-Profit Organizations
    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)

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

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