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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.
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199 Global export shipment records of Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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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.
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TwitterDatabase 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.
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10 Global export shipment records of Stones Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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10158 Global import shipment records of Gem with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.
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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.
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TwitterGet the latest USA Gem Tree import data with importer names, shipment details, buyers list, product description, price, quantity, and major US ports.
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Rare Gem Domains LLC Whois Database, discover comprehensive ownership details, registration dates, and more for Rare Gem Domains LLC with Whois Data Center.
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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.
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TwitterThis 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.
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TwitterThis 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]).
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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.
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Blockchain data dashboard: Gem Analysis
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TwitterGlobal trade data of Gem under 030621, 030621 global trade data, trade data of Gem from 80+ Countries.
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TwitterThis 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.
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Data-Gem/agents-course-unit3-invitees-expanded dataset hosted on Hugging Face and contributed by the HF Datasets community
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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.
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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
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TwitterGeneva Gem Sa Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.
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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.