100+ datasets found
  1. Global Entrepreneurship Monitor [GEM]: Adult Population Survey Data Set,...

    • icpsr.umich.edu
    ascii, delimited, r +3
    Updated Jul 12, 2022
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Reynolds, Paul D. (2022). Global Entrepreneurship Monitor [GEM]: Adult Population Survey Data Set, 1998-2017 [Dataset]. http://doi.org/10.3886/ICPSR20320.v6
    Explore at:
    ascii, sas, delimited, stata, spss, rAvailable download formats
    Dataset updated
    Jul 12, 2022
    Dataset provided by
    Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
    Authors
    Reynolds, Paul D.
    License

    https://www.icpsr.umich.edu/web/ICPSR/studies/20320/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/20320/terms

    Time period covered
    1998 - 2017
    Area covered
    Lebanon, Denmark, Greece, Finland, Singapore, Dominican Republic, Qatar, Taiwan, Malawi, Iran
    Description

    The Global Entrepreneurship Monitor [GEM] research program was developed to provide comparisons among countries related to participation of adults in the firm creation process. The initial data was assembled as a pretest of five countries in 1998 and by 2012 over 100 countries had been involved in the program. The initial design for the GEM initiative was based on the first US Panel Study of Entrepreneurial Dynamics, and by 2012 data from 1,827,513 individuals had been gathered in 563 national samples and 6 specialized regional samples. This dataset is a harmonized file capturing results from all of the surveys. The procedure has been to harmonize the basic items across all surveys in all years, followed by implementing a standardized transform to identify those active as nascent entrepreneurs in the start-up process, as owner-managers of new firms, or as owner-managers of established firms. Those identified as nascent entrepreneurs or new business owners are the basis for the Total Entrepreneurial Activity [TEA] or Total Early-Stage index. This harmonized, consolidated assessment not only facilitates comparisons across countries, but provides a basis for temporal comparisons for individual countries. Respondents were queried on the following main topics: general entrepreneurship, start-up activities, ownership and management of the firm, and business angels (angel investors). Respondents were initially screened by way of a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, whether they thought it was a good time to start a new business, as well as their perceptions of the income potential and the prestige associated with starting a new business. Demographic variables include respondent age, sex, and employment status.

  2. v

    Global export data of Gem

    • volza.com
    csv
    Updated Nov 26, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Volza FZ LLC (2025). Global export data of Gem [Dataset]. https://www.volza.com/p/gem/export/export-from-thailand/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 26, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    199 Global export shipment records of Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  3. h

    gem

    • huggingface.co
    Updated May 1, 2019
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    GEM benchmark (2019). gem [Dataset]. https://huggingface.co/datasets/GEM/gem
    Explore at:
    Dataset updated
    May 1, 2019
    Dataset authored and provided by
    GEM benchmark
    License

    https://choosealicense.com/licenses/other/https://choosealicense.com/licenses/other/

    Description

    GEM is a benchmark environment for Natural Language Generation with a focus on its Evaluation, both through human annotations and automated Metrics.

    GEM aims to: - measure NLG progress across 13 datasets spanning many NLG tasks and languages. - provide an in-depth analysis of data and models presented via data statements and challenge sets. - develop standards for evaluation of generated text using both automated and human metrics.

    It is our goal to regularly update GEM and to encourage toward more inclusive practices in dataset development by extending existing data or developing datasets for additional languages.

  4. r

    Grid-Enabled Measures Database

    • rrid.site
    • scicrunch.org
    Updated Jan 29, 2022
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2022). Grid-Enabled Measures Database [Dataset]. http://identifiers.org/RRID:SCR_016043/resolver?q=*&i=rrid
    Explore at:
    Dataset updated
    Jan 29, 2022
    Description

    Database that contains behavioral and social science measures organized by theoretical constructs. GEM is designed to enable researchers to use common measures with the goal of exchanging harmonized data.

  5. v

    Global export data of Stones Gem

    • volza.com
    csv
    Updated Jul 11, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Volza FZ LLC (2025). Global export data of Stones Gem [Dataset]. https://www.volza.com/p/stones-gem/export/export-from-zambia/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    10 Global export shipment records of Stones Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  6. v

    Global import data of Gem

    • volza.com
    csv
    Updated Oct 30, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Volza FZ LLC (2025). Global import data of Gem [Dataset]. https://www.volza.com/imports-united-states/united-states-import-data-of-gem
    Explore at:
    csvAvailable download formats
    Dataset updated
    Oct 30, 2025
    Dataset authored and provided by
    Volza FZ LLC
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Variables measured
    Count of exporters, Sum of export value, 2014-01-01/2021-09-30, Count of export shipments
    Description

    10158 Global import shipment records of Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  7. Data from: GEMS-GLORI world river discharge database

    • doi.pangaea.de
    • dataone.org
    • +1more
    html, tsv
    Updated Dec 23, 2012
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Michel Meybeck; Alain Ragu (2012). GEMS-GLORI world river discharge database [Dataset]. http://doi.org/10.1594/PANGAEA.804574
    Explore at:
    html, tsvAvailable download formats
    Dataset updated
    Dec 23, 2012
    Dataset provided by
    PANGAEA
    Laboratoire de Géologie Appliquée, Université Pierre et Marie Curie, Paris, France
    Authors
    Michel Meybeck; Alain Ragu
    License

    Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
    License information was derived automatically

    Area covered
    Variables measured
    Area, Ocean, River, Length, Sodium, Calcium, Country, Sulfate, Chloride, LATITUDE, and 34 more
    Description

    The GEMS-GLORI register, circulated by UNEP for review in 1996, lists 555 world major rivers discharging to oceans (Q > 10 km**3/year, or A > 10 000 km**2, or sediment discharge > 5Mt/year, or basin population >5M people). Up to 48 river attributes are listed, including major ions and nutrients (C, N, P) in both dissolved, particulate, organic and inorganic forms. For many rivers, two or three sets of data are provided with relevant periods of records and references. Although half of the selected rivers are not yet documented for water quality, most of the first 40 rivers are well described (Irrawady, Zambezi, Ogooue, Magdalena, are noted exceptions). Altogether about 10 000 individual data from 500 references are listed. The global coverage in terms of river discharge and/or drainage area ranges from 40 to 67% for most major water quality attributes but drops to 25% for some organic and/or particulate forms of N and P. Planned development of the register includes collection of information on particulate chemistry and data on endorheic rivers and selected tributaries.

  8. s

    Gem Tree Import Data & Buyers List in USA

    • seair.co.in
    Updated Mar 15, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Seair Exim Solutions (2024). Gem Tree Import Data & Buyers List in USA [Dataset]. https://www.seair.co.in/us-import/product-gem-tree.aspx
    Explore at:
    .text/.csv/.xml/.xls/.binAvailable download formats
    Dataset updated
    Mar 15, 2024
    Dataset authored and provided by
    Seair Exim Solutions
    Area covered
    United States
    Description

    Get the latest USA Gem Tree import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.

  9. w

    Rare Gem Domains LLC Whois Database | Whois Data Center

    • whoisdatacenter.com
    csv
    Updated Nov 8, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    AllHeart Web Inc (2024). Rare Gem Domains LLC Whois Database | Whois Data Center [Dataset]. https://whoisdatacenter.com/registrar/2877/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 8, 2024
    Dataset authored and provided by
    AllHeart Web Inc
    License

    https://whoisdatacenter.com/terms-of-use/https://whoisdatacenter.com/terms-of-use/

    Time period covered
    Nov 25, 2025 - Dec 30, 2025
    Description

    Rare Gem Domains LLC Whois Database, discover comprehensive ownership details, registration dates, and more for Rare Gem Domains LLC with Whois Data Center.

  10. H

    Hong Kong SAR, China GEM: Number of Listed Companies

    • ceicdata.com
    Updated Feb 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Hong Kong SAR, China GEM: Number of Listed Companies [Dataset]. https://www.ceicdata.com/en/hong-kong/growth-enterprise-market-gem-statistics/gem-number-of-listed-companies
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    May 1, 2017 - Apr 1, 2018
    Area covered
    Hong Kong
    Variables measured
    New Capital Raised
    Description

    Hong Kong GEM: Number of Listed Companies data was reported at 383.000 Unit in Sep 2018. This records an increase from the previous number of 379.000 Unit for Aug 2018. Hong Kong GEM: Number of Listed Companies data is updated monthly, averaging 189.000 Unit from Nov 1999 (Median) to Sep 2018, with 227 observations. The data reached an all-time high of 383.000 Unit in Sep 2018 and a record low of 3.000 Unit in Nov 1999. Hong Kong GEM: Number of Listed Companies data remains active status in CEIC and is reported by Growth Enterprise Market. The data is categorized under Global Database’s Hong Kong – Table HK.Z009: Growth Enterprise Market (GEM) Statistics.

  11. c

    GEM Price Prediction Data

    • coinbase.com
    Updated Nov 6, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). GEM Price Prediction Data [Dataset]. https://www.coinbase.com/price-prediction/base-gem
    Explore at:
    Dataset updated
    Nov 6, 2025
    Variables measured
    Growth Rate, Predicted Price
    Measurement technique
    User-defined projections based on compound growth. This is not a formal financial forecast.
    Description

    This dataset contains the predicted prices of the asset GEM over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

  12. d

    Data from: Geologic Map Schema (GeMS) version of Wentworth, C.M., Knudsen,...

    • catalog.data.gov
    • data.usgs.gov
    Updated Nov 19, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    U.S. Geological Survey (2025). Geologic Map Schema (GeMS) version of Wentworth, C.M., Knudsen, K.L., and Witter, R.C., 2023, Quaternary deposits of the 9-county San Francisco Bay Region [Dataset]. https://catalog.data.gov/dataset/geologic-map-schema-gems-version-of-wentworth-c-m-knudsen-k-l-and-witter-r-c-2023-quaterna
    Explore at:
    Dataset updated
    Nov 19, 2025
    Dataset provided by
    United States Geological Surveyhttp://www.usgs.gov/
    Description

    This is a conversion of Wentworth and others (2023)[DAS1] to the Geologic Map Schema (GeMS) for inclusion in the National Geologic Map Database. The original publication was in the Alacarte schema commonly used for geologic map databases prior to the release of the now mandatory GeMS. The GIS layers in this release have the same scientific content as the source data release. The source data release lacks description of map units, however, so those have been copied verbatim from the two principal sources for that work (Witter and others, 2006 [DAS2]; Knudsen and others, 2000 [DAS3]).

  13. S

    Switzerland Imports: Precious Metals, Noble and Gem Stones

    • ceicdata.com
    Updated Sep 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    CEICdata.com (2025). Switzerland Imports: Precious Metals, Noble and Gem Stones [Dataset]. https://www.ceicdata.com/en/switzerland/imports-by-major-commodity/imports-precious-metals-noble-and-gem-stones
    Explore at:
    Dataset updated
    Sep 15, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2006 - Dec 1, 2017
    Area covered
    Switzerland
    Variables measured
    Merchandise Trade
    Description

    Switzerland Imports: Precious Metals, Noble and Gem Stones data was reported at 77,690.819 CHF mn in 2017. This records a decrease from the previous number of 90,358.116 CHF mn for 2016. Switzerland Imports: Precious Metals, Noble and Gem Stones data is updated yearly, averaging 6,903.574 CHF mn from Dec 1988 (Median) to 2017, with 30 observations. The data reached an all-time high of 118,645.361 CHF mn in 2013 and a record low of 3,199.184 CHF mn in 1995. Switzerland Imports: Precious Metals, Noble and Gem Stones data remains active status in CEIC and is reported by Swiss Federal Customs Administration. The data is categorized under Global Database’s Switzerland – Table CH.JA005: Imports: by Major Commodity. From 2012, including gold, silver and coins.

  14. d

    Data from: Gem Analysis

    • dune.com
    Updated May 30, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    jp12 (2023). Gem Analysis [Dataset]. https://dune.com/discover/content/popular?q=author%3Ajp12
    Explore at:
    Dataset updated
    May 30, 2023
    Authors
    jp12
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Blockchain data dashboard: Gem Analysis

  15. e

    Gem under 030621 global trade Data, Gem trade data

    • eximpedia.app
    Updated Jan 19, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2023). Gem under 030621 global trade Data, Gem trade data [Dataset]. https://www.eximpedia.app/search/hs-code-030621-of-gem-global-trade
    Explore at:
    Dataset updated
    Jan 19, 2023
    Description

    Global trade data of Gem under 030621, 030621 global trade data, trade data of Gem from 80+ Countries.

  16. NOAA/WDS Paleoclimatology - Calder fire data from Gem Lake, Colorado - IMPD...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 1, 2023
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    NOAA National Centers for Environmental Information (Point of Contact); NOAA World Data Service for Paleoclimatology (Point of Contact) (2023). NOAA/WDS Paleoclimatology - Calder fire data from Gem Lake, Colorado - IMPD USGEM001 [Dataset]. https://catalog.data.gov/dataset/noaa-wds-paleoclimatology-calder-fire-data-from-gem-lake-colorado-impd-usgem0012
    Explore at:
    Dataset updated
    Nov 1, 2023
    Dataset provided by
    National Centers for Environmental Informationhttps://www.ncei.noaa.gov/
    National Oceanic and Atmospheric Administrationhttp://www.noaa.gov/
    Area covered
    Gem Lake Trail, Colorado
    Description

    This archived Paleoclimatology Study is available from the NOAA National Centers for Environmental Information (NCEI), under the World Data Service (WDS) for Paleoclimatology. The associated NCEI study type is Fire. The data include parameters of fire history|paleolimnology with a geographic location of Colorado, United States Of America. The time period coverage is from 1544 to -62 in calendar years before present (BP). See metadata information for parameter and study location details. Please cite this study when using the data.

  17. h

    agents-course-unit3-invitees-expanded

    • huggingface.co
    Updated May 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Gabriel Escobar Maya (2025). agents-course-unit3-invitees-expanded [Dataset]. https://huggingface.co/datasets/Data-Gem/agents-course-unit3-invitees-expanded
    Explore at:
    Dataset updated
    May 15, 2025
    Authors
    Gabriel Escobar Maya
    License

    https://choosealicense.com/licenses/unknown/https://choosealicense.com/licenses/unknown/

    Description

    Data-Gem/agents-course-unit3-invitees-expanded dataset hosted on Hugging Face and contributed by the HF Datasets community

  18. G

    Greenland Ecosystem Monitoring (GEM) discharge data used by Mankoff et al....

    • dataverse.geus.dk
    • search.dataone.org
    Updated Feb 26, 2021
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Kirsty Langley; Kirsty Langley (2021). Greenland Ecosystem Monitoring (GEM) discharge data used by Mankoff et al. (2020) [Dataset]. http://doi.org/10.22008/asiaq/data/meltwater_discharge/gem
    Explore at:
    text/plain; charset=utf-8(3400), text/plain; charset=utf-8(209573), text/plain; charset=utf-8(2400)Available download formats
    Dataset updated
    Feb 26, 2021
    Dataset provided by
    GEUS Dataverse
    Authors
    Kirsty Langley; Kirsty Langley
    License

    https://dataverse.geus.dk/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.22008/asiaq/data/meltwater_discharge/gemhttps://dataverse.geus.dk/api/datasets/:persistentId/versions/2.0/customlicense?persistentId=doi:10.22008/asiaq/data/meltwater_discharge/gem

    Description

    Data comes from Kirsty Langley at the Asiaq-Greenland Survey, Nuuk, Greenland, is collected as part of the Greenland Ecosystem Monitoring Programme (GEM) project. The data is available from the GEM website ( https://data.g-e-m.dk/ ) but here is collected into one CSV file and includes additional metadata, such as the station location.

  19. g

    Development Economics Data Group - GEM National Expert Survey: Cultural and...

    • gimi9.com
    Updated May 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Development Economics Data Group - GEM National Expert Survey: Cultural and social norms | gimi9.com [Dataset]. https://gimi9.com/dataset/worldbank_gem_nes_12/
    Explore at:
    Dataset updated
    May 8, 2025
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    The extent to which social and cultural norms encourage or allow actions leading to new business methods or activities that can potentially increase personal wealth and income. Please refer to: https://www.gemconsortium.org/wiki/1599

  20. e

    Geneva Gem Sa Export Import Data | Eximpedia

    • eximpedia.app
    Updated Feb 19, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    (2025). Geneva Gem Sa Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/geneva-gem-sa/38707187
    Explore at:
    Dataset updated
    Feb 19, 2025
    Area covered
    Geneva
    Description

    Geneva Gem Sa Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Reynolds, Paul D. (2022). Global Entrepreneurship Monitor [GEM]: Adult Population Survey Data Set, 1998-2017 [Dataset]. http://doi.org/10.3886/ICPSR20320.v6
Organization logo

Global Entrepreneurship Monitor [GEM]: Adult Population Survey Data Set, 1998-2017

Explore at:
9 scholarly articles cite this dataset (View in Google Scholar)
ascii, sas, delimited, stata, spss, rAvailable download formats
Dataset updated
Jul 12, 2022
Dataset provided by
Inter-university Consortium for Political and Social Researchhttps://www.icpsr.umich.edu/web/pages/
Authors
Reynolds, Paul D.
License

https://www.icpsr.umich.edu/web/ICPSR/studies/20320/termshttps://www.icpsr.umich.edu/web/ICPSR/studies/20320/terms

Time period covered
1998 - 2017
Area covered
Lebanon, Denmark, Greece, Finland, Singapore, Dominican Republic, Qatar, Taiwan, Malawi, Iran
Description

The Global Entrepreneurship Monitor [GEM] research program was developed to provide comparisons among countries related to participation of adults in the firm creation process. The initial data was assembled as a pretest of five countries in 1998 and by 2012 over 100 countries had been involved in the program. The initial design for the GEM initiative was based on the first US Panel Study of Entrepreneurial Dynamics, and by 2012 data from 1,827,513 individuals had been gathered in 563 national samples and 6 specialized regional samples. This dataset is a harmonized file capturing results from all of the surveys. The procedure has been to harmonize the basic items across all surveys in all years, followed by implementing a standardized transform to identify those active as nascent entrepreneurs in the start-up process, as owner-managers of new firms, or as owner-managers of established firms. Those identified as nascent entrepreneurs or new business owners are the basis for the Total Entrepreneurial Activity [TEA] or Total Early-Stage index. This harmonized, consolidated assessment not only facilitates comparisons across countries, but provides a basis for temporal comparisons for individual countries. Respondents were queried on the following main topics: general entrepreneurship, start-up activities, ownership and management of the firm, and business angels (angel investors). Respondents were initially screened by way of a series of general questions pertaining to starting a business, such as whether they were currently trying to start a new business, whether they knew anyone who had started a new business, whether they thought it was a good time to start a new business, as well as their perceptions of the income potential and the prestige associated with starting a new business. Demographic variables include respondent age, sex, and employment status.

Search
Clear search
Close search
Google apps
Main menu