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.

The Global Entrepreneurship Monitor (GEM) was designed to capture various aspects of firm creation and entrepreneurship across countries. The data have been collected over a number of years (1998-2003) and include responses from 4,685 experts in over 38 countries and three subnational regions. This study seeks to measure the national attributes considered critical for new firm births and small firm growth. The dataset is a harmonized file capturing the results from all of the surveys. The expert, or key informant, questionnaire was improved and adjusted each year to increase the reliability of multi-item indices and provide for the addition of new dimensions. For each version of the questionnaire, respondents completed 70-80 standardized items that were the basis for 12-15 multi-item indices. Respondents were initially asked 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, and whether they thought it was a good time to do so. Respondents were also asked about the process of starting up a new business; whether they had done anything to start a new business in the past 12 months; whether they would own all, part, or none of the new business; how many people would be involved with the new business; what sort of business they were starting; and what they would sell. In addition, respondents identified the total start-up costs, the various sources of the start-up money, and why they were involved in the start-up. Respondents then answered a set of questions to assess the national conditions influencing entrepreneurial activity in their own country. In this respect, respondents provided their opinions on business and entrepreneurial education, the integration of new technology in businesses, the availability of financial support through government policies and programs, the availability of subcontractors, yearly changes in the economic market, and the physical infrastructure in their country. Views were also elicited from respondents about their national cultures in regard to entrepreneurial efforts and opportunities, attitudes towards entrepreneurs in general, women entrepreneurs and the resources available to them, and citizens' knowledge and experience with new businesses. They also gave their views on the Intellectual Property Rights (IPR) legislation and its enforcement in their respective countries. Respondents were then queried on the technological strengths of their country by ranking the top five sectors in which there has been development of the greatest number of technology-intensive start-up companies in the past ten years. Finally, respondents were asked the same general questions as those used in the GLOBAL ENTREPRENEURSHIP MONITOR (GEM): ADULT POPULATION SURVEY DATA SET, 1998-2003 (ICPSR 20320) in order to ascertain whether the opinions and behaviors of the current "expert" respondents differ from those of the general population. These questions included whether they were starting a new business, if there were opportunities for new businesses, funding sources for a new business, skills required to start a new business, shutting down a business, and whether a fear of failure was preventing the start of a new business. The dataset also contains variables that describe the respondent's gender, age, educational attainment, labor force status, the entrepreneurial areas in which they feel they have strong expertise, and the month and year the survey was conducted.

Generation, Evaluation, and Metrics (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.

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.

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.

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

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.

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

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.

The Global Water Quality database and information system GEMStat is hosted, operated, and maintained by the International Centre for Water Resources and Global Change (ICWRGC) in Koblenz, Germany, within the framework of the GEMS/Water Programme of the United Nations Environment Programme (UNEP), and in cooperation with the Federal Institute of Hydrology. GEMStat hosts water quality data of ground and surface waters providing a global overview of the condition of water bodies and the trends at global, regional and local levels.

United States Imports: Customs: sa: CG: Gem Stones, Other data was reported at 343.000 USD mn in May 2018. This records an increase from the previous number of 292.000 USD mn for Apr 2018. United States Imports: Customs: sa: CG: Gem Stones, Other data is updated monthly, averaging 196.000 USD mn from Dec 1993 (Median) to May 2018, with 294 observations. The data reached an all-time high of 378.000 USD mn in Mar 2014 and a record low of 93.000 USD mn in Nov 1996. United States Imports: Customs: sa: CG: Gem Stones, Other data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA006: Trade Statistics: Census Basis: Seasonally Adjusted: Imports by End-Use Commodity.

United States Imports: 5-Digit: IN: Gem Diamonds: 5-Digit: Uncut or Unset data was reported at 8.193 USD bn in 2017. This records a decrease from the previous number of 8.623 USD bn for 2016. United States Imports: 5-Digit: IN: Gem Diamonds: 5-Digit: Uncut or Unset data is updated yearly, averaging 3.687 USD bn from Dec 1999 (Median) to 2017, with 19 observations. The data reached an all-time high of 8.623 USD bn in 2016 and a record low of 1.922 USD bn in 2001. United States Imports: 5-Digit: IN: Gem Diamonds: 5-Digit: Uncut or Unset data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA091: Trade Statistics: India: Imports: Customs: End Use.

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.

Hong Kong GEM: S&P/HKEX GEM Index data was reported at 156.640 28Feb2003=1000 in Oct 2018. This records a decrease from the previous number of 183.210 28Feb2003=1000 for Sep 2018. Hong Kong GEM: S&P/HKEX GEM Index data is updated monthly, averaging 595.660 28Feb2003=1000 from Apr 2003 (Median) to Oct 2018, with 187 observations. The data reached an all-time high of 1,792.720 28Feb2003=1000 in Jul 2007 and a record low of 156.640 28Feb2003=1000 in Oct 2018. Hong Kong GEM: S&P/HKEX GEM Index data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong SAR – Table HK.Z009: Growth Enterprise Market (GEM) Statistics.

Google Mobility Changes: Residential: United States: Idaho: Gem County data was reported at 0.000 % in 29 Sep 2022. This records an increase from the previous number of -1.000 % for 28 Sep 2022. Google Mobility Changes: Residential: United States: Idaho: Gem County data is updated daily, averaging 1.000 % from Sep 2020 (Median) to 29 Sep 2022, with 527 observations. The data reached an all-time high of 20.000 % in 25 Dec 2020 and a record low of -4.000 % in 29 Apr 2022. Google Mobility Changes: Residential: United States: Idaho: Gem County data remains active status in CEIC and is reported by Google LLC. The data is categorized under Global Database’s United States – Table US.Google.GM: Mobility Trends: Residential.

The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is designed to stand alone as an independent data set, or they can be combined to cover the entire nation. The Address Ranges Relationship File (ADDR.dbf) contains the attributes of each address range. Each address range applies to a single edge and has a unique address range identifier (ARID) value. The edge to which an address range applies can be determined by linking the address range to the All Lines Shapefile (EDGES.shp) using the permanent topological edge identifier (TLID) attribute. Multiple address ranges can apply to the same edge since an edge can have multiple address ranges. Note that the most inclusive address range associated with each side of a street edge already appears in the All Lines Shapefile (EDGES.shp). The TIGER/Line Files contain potential address ranges, not individual addresses. The term "address range" refers to the collection of all possible structure numbers from the first structure number to the last structure number and all numbers of a specified parity in between along an edge side relative to the direction in which the edge is coded. The address ranges in the TIGER/Line Files are potential ranges that include the full range of possible structure numbers even though the actual structures may not exist.

Hong Kong GEM: Yearly: Market Capitalization: Red Chip Stocks data was reported at 12,398.680 HKD mn in 2017. This records a decrease from the previous number of 13,400.090 HKD mn for 2016. Hong Kong GEM: Yearly: Market Capitalization: Red Chip Stocks data is updated yearly, averaging 3,616.415 HKD mn from Dec 1999 (Median) to 2017, with 18 observations. The data reached an all-time high of 13,400.090 HKD mn in 2016 and a record low of 727.560 HKD mn in 2004. Hong Kong GEM: Yearly: Market Capitalization: Red Chip Stocks data remains active status in CEIC and is reported by Hong Kong Exchanges and Clearing Limited. The data is categorized under Global Database’s Hong Kong – Table HK.Z009: Growth Enterprise Market (GEM) Statistics.

Hong Kong GEM: Turnover: Volume data was reported at 17,588.992 Share mn in Oct 2018. This records an increase from the previous number of 17,034.942 Share mn for Sep 2018. Hong Kong GEM: Turnover: Volume data is updated monthly, averaging 13,996.153 Share mn from Nov 1999 (Median) to Oct 2018, with 228 observations. The data reached an all-time high of 95,461.368 Share mn in Jun 2015 and a record low of 461.560 Share mn in Nov 1999. Hong Kong GEM: Turnover: Volume 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.

United States Imports: Customs: sa: CG: Gem Diamonds data was reported at 1.920 USD bn in May 2018. This records a decrease from the previous number of 2.120 USD bn for Apr 2018. United States Imports: Customs: sa: CG: Gem Diamonds data is updated monthly, averaging 1.276 USD bn from Dec 1993 (Median) to May 2018, with 294 observations. The data reached an all-time high of 2.230 USD bn in Apr 2014 and a record low of 357.000 USD mn in Sep 1994. United States Imports: Customs: sa: CG: Gem Diamonds data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s USA – Table US.JA006: Trade Statistics: Census Basis: Seasonally Adjusted: Imports by End-Use Commodity.

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