100+ datasets found
  1. G

    Georgia No of Trades: GSE

    • ceicdata.com
    Updated Jan 15, 2025
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    Georgia No of Trades: GSE [Dataset]. https://www.ceicdata.com/en/georgia/georgian-stock-exchange-turnover/no-of-trades-gse
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    Dataset updated
    Jan 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
    Georgia
    Variables measured
    Turnover
    Description

    Georgia Number of Trades: GSE data was reported at 2.000 Unit in Nov 2018. This records a decrease from the previous number of 8.000 Unit for Oct 2018. Georgia Number of Trades: GSE data is updated monthly, averaging 66.500 Unit from Apr 2000 (Median) to Nov 2018, with 224 observations. The data reached an all-time high of 954.000 Unit in May 2007 and a record low of 0.000 Unit in Jan 2016. Georgia Number of Trades: GSE data remains active status in CEIC and is reported by Georgian Stock Exchange. The data is categorized under Global Database’s Georgia – Table GE.Z003: Georgian Stock Exchange: Turnover.

  2. f

    Detail information of GSE series from GEO database used in this study.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Zhi-Hua Li; Hongyan Xu; Weiling Zheng; Siew Hong Lam; Zhiyuan Gong (2023). Detail information of GSE series from GEO database used in this study. [Dataset]. http://doi.org/10.1371/journal.pone.0077292.t005
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Zhi-Hua Li; Hongyan Xu; Weiling Zheng; Siew Hong Lam; Zhiyuan Gong
    License

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

    Description

    Detail information of GSE series from GEO database used in this study.

  3. CONTOUR TELEMETRY GSE DATA

    • datasets.ai
    • data.nasa.gov
    • +2more
    Updated Sep 13, 2024
    + more versions
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    National Aeronautics and Space Administration (2024). CONTOUR TELEMETRY GSE DATA [Dataset]. https://datasets.ai/datasets/contour-telemetry-gse-data-7a145
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    Dataset updated
    Sep 13, 2024
    Dataset provided by
    NASAhttp://nasa.gov/
    Authors
    National Aeronautics and Space Administration
    Description

    This dataset contains the raw telemetry from the Ground Support Equipment (GSE) facilities used to integrate the spacecraft components at JHU/APL in 2002. The documentation on volume CON_0001 under /DOCUMENT/HARCH describes when tests were run.

  4. h

    GSE 65858 XLS

    • health-atlas.de
    • health-atlas.eu
    xls
    Updated Dec 5, 2019
    + more versions
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    Maciej Rosolowski (2019). GSE 65858 XLS [Dataset]. https://www.health-atlas.de/data_files/255
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    xls(231 KB)Available download formats
    Dataset updated
    Dec 5, 2019
    Authors
    Maciej Rosolowski
    License

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

    Description

    Our first objective was to compare the molecular features of subgroups of HNSCC defined by their HPV16 DNA and RNA status. The second objective was to identify gene expression subtypes in HNSCC and to correlate them with other characteristics of the patients.

    HPV DNA and RNA status, mutations of 50 genes, survival and other clinical characteristics of 270 patients with head and neck cancer.

  5. Systematic integrative analysis of gene expression identifies HNF4A as the...

    • plos.figshare.com
    tiff
    Updated Jun 2, 2023
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    Cristina Baciu; Elisa Pasini; Marc Angeli; Katherine Schwenger; Jenifar Afrin; Atul Humar; Sandra Fischer; Keyur Patel; Johane Allard; Mamatha Bhat (2023). Systematic integrative analysis of gene expression identifies HNF4A as the central gene in pathogenesis of non-alcoholic steatohepatitis [Dataset]. http://doi.org/10.1371/journal.pone.0189223
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    tiffAvailable download formats
    Dataset updated
    Jun 2, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Cristina Baciu; Elisa Pasini; Marc Angeli; Katherine Schwenger; Jenifar Afrin; Atul Humar; Sandra Fischer; Keyur Patel; Johane Allard; Mamatha Bhat
    License

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

    Description

    Non-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disease in the Western world, and encompasses a spectrum from simple steatosis to steatohepatitis (NASH). There is currently no approved pharmacologic therapy against NASH, partly due to an incomplete understanding of its molecular basis. The goal of this study was to determine the key differentially expressed genes (DEGs), as well as those genes and pathways central to its pathogenesis. We performed an integrative computational analysis of publicly available gene expression data in NASH from GEO (GSE17470, GSE24807, GSE37031, GSE89632). The DEGs were identified using GEOquery, and only the genes present in at least three of the studies, to a total of 190 DEGs, were considered for further analyses. The pathways, networks, molecular interactions, functional analyses were generated through the use of Ingenuity Pathway Analysis (IPA). For selected networks, we computed the centrality using igraph package in R. Among the statistically significant predicted networks (p-val < 0.05), three were of most biological interest: the first is involved in antimicrobial response, inflammatory response and immunological disease, the second in cancer, organismal injury and development and the third in metabolic diseases. We discovered that HNF4A is the central gene in the network of NASH connected to metabolic diseases and that it regulates HNF1A, an additional transcription regulator also involved in lipid metabolism. Therefore, we show, for the first time to our knowledge, that HNF4A is central to the pathogenesis of NASH. This adds to previous literature demonstrating that HNF4A regulates the transcription of genes involved in the progression of NAFLD, and that HNF4A genetic variants play a potential role in NASH progression.

  6. U

    United States Assets: Flow: GSE: DS: Agency & GSE Backed Securities

    • ceicdata.com
    + more versions
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    CEICdata.com, United States Assets: Flow: GSE: DS: Agency & GSE Backed Securities [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-sector-flows-and-outstanding-government-sponsored-enterprises/assets-flow-gse-ds-agency--gse-backed-securities
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    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States Assets: Flow: GSE: DS: Agency & GSE Backed Securities data was reported at -5.304 USD bn in Sep 2018. This records a decrease from the previous number of -3.835 USD bn for Jun 2018. United States Assets: Flow: GSE: DS: Agency & GSE Backed Securities data is updated quarterly, averaging 0.000 USD bn from Dec 1951 (Median) to Sep 2018, with 268 observations. The data reached an all-time high of 125.893 USD bn in Jun 2008 and a record low of -113.681 USD bn in Dec 2004. United States Assets: Flow: GSE: DS: Agency & GSE Backed Securities data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s United States – Table US.AB026: Funds by Sector: Flows and Outstanding: Government Sponsored Enterprises.

  7. F

    GSEs and Agency- and GSE-Backed Mortgage Pools; U.S. Government Agency...

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). GSEs and Agency- and GSE-Backed Mortgage Pools; U.S. Government Agency Securities; Liability, Transactions [Dataset]. https://fred.stlouisfed.org/series/GSEMPAQ027S
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for GSEs and Agency- and GSE-Backed Mortgage Pools; U.S. Government Agency Securities; Liability, Transactions (GSEMPAQ027S) from Q4 1946 to Q4 2024 about GSE, agency, IMA, transactions, mortgage, liabilities, securities, federal, government, and USA.

  8. Global Airport Ground Support Equipment (GSE) Market Size By Type Of...

    • verifiedmarketresearch.com
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    VERIFIED MARKET RESEARCH, Global Airport Ground Support Equipment (GSE) Market Size By Type Of Equipment (Aircraft Handling Equipment, Passenger Handling Equipment), By Power Source (Diesel-powered Equipment, Electric-powered Equipment), By Application (Specialized Airports, Military Airports, Commercial Airports), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/airport-ground-support-equipment-gse-market/
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    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    Airport Ground Support Equipment (GSE) Market Size And Forecast

    Airport Ground Support Equipment (GSE) Market size was valued at USD 9742.7 Million in 2024 and is projected to reach USD 15272.42 Million by 2031, at a CAGR of 5.78% from 2024 to 2031.

    Global Airport Ground Support Equipment (GSE) Market Dynamics

    Key Market Drivers:

    Increasing Passenger Traffic and Aircraft Movements: The increased demand for air travel has resulted in an increase in the number of aircraft movements, driving the need for efficient ground support systems. According to the International Air Transport Association (IATA), worldwide air passenger traffic is predicted to exceed 10 billion by 2040, up from 4.5 billion in 2019, indicating a considerable growth in demand for GSE.

    Shift Towards Sustainable and Eco-friendly GSE: There is a rising emphasis on decreasing the environmental impact of airport operations, which has resulted in the implementation of more sustainable and eco-friendlier GSE. According to the Airports Council International (ACI), using electric or hybrid GSE can cut airport carbon emissions by up to 40%, increasing demand for these technologies.

  9. F

    Government-Sponsored Enterprises; Total Liabilities of FICO, Level

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Government-Sponsored Enterprises; Total Liabilities of FICO, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL404190065A
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    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Government-Sponsored Enterprises; Total Liabilities of FICO, Level (BOGZ1FL404190065A) from 1945 to 2024 about GSE, liabilities, and USA.

  10. T

    United States - GSEs and Agency- and GSE-Backed Mortgage Pools; U.S....

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 17, 2020
    + more versions
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    TRADING ECONOMICS (2020). United States - GSEs and Agency- and GSE-Backed Mortgage Pools; U.S. Government Agency Securities; Liability, Level [Dataset]. https://tradingeconomics.com/united-states/government-sponsored-enterprises-and-federally-related-mortgage-pools-u-s-government-agency-securities-liability-level-fed-data.html
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    excel, csv, xml, jsonAvailable download formats
    Dataset updated
    Aug 17, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

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

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    United States
    Description

    United States - GSEs and Agency- and GSE-Backed Mortgage Pools; U.S. Government Agency Securities; Liability, Level was 10646356.00000 Mil. of $ in January of 2021, according to the United States Federal Reserve. Historically, United States - GSEs and Agency- and GSE-Backed Mortgage Pools; U.S. Government Agency Securities; Liability, Level reached a record high of 10646356.00000 in January of 2021 and a record low of 873.00000 in January of 1945. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - GSEs and Agency- and GSE-Backed Mortgage Pools; U.S. Government Agency Securities; Liability, Level - last updated from the United States Federal Reserve on March of 2025.

  11. F

    Money Market Funds; Agency- and GSE-Backed Securities; Asset, Level

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Money Market Funds; Agency- and GSE-Backed Securities; Asset, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL633061700Q
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Money Market Funds; Agency- and GSE-Backed Securities; Asset, Level (BOGZ1FL633061700Q) from Q4 1945 to Q4 2024 about agency, MMMF, securities, assets, and USA.

  12. U

    United States Assets: Outs: GSE: Loans: Other Loans & Advances (LA)

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Assets: Outs: GSE: Loans: Other Loans & Advances (LA) [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-sector-flows-and-outstanding-government-sponsored-enterprises/assets-outs-gse-loans-other-loans--advances-la
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States Assets: Outs: GSE: Loans: Other Loans & Advances (LA) data was reported at 827.343 USD bn in Mar 2018. This records a decrease from the previous number of 857.678 USD bn for Dec 2017. United States Assets: Outs: GSE: Loans: Other Loans & Advances (LA) data is updated quarterly, averaging 105.001 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 1,083.212 USD bn in Sep 2008 and a record low of 1.654 USD bn in Mar 1954. United States Assets: Outs: GSE: Loans: Other Loans & Advances (LA) data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB026: Funds by Sector: Flows and Outstanding: Government Sponsored Enterprises.

  13. n

    THEMIS-E orbit data (GSE frame, 1 min resolution)

    • heliophysicsdata.gsfc.nasa.gov
    txt
    Updated Jan 21, 2022
    + more versions
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    (2022). THEMIS-E orbit data (GSE frame, 1 min resolution) [Dataset]. http://doi.org/10.24400/802406/c1np-y16w
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    txtAvailable download formats
    Dataset updated
    Jan 21, 2022
    License

    https://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/

    Time period covered
    Feb 18, 2007 - Dec 31, 2020
    Description

    This data set contains THEMIS-E GSE position and velocity at 1 min resolution.

  14. a

    GSE Project Boundary

    • nfip-abra.hub.arcgis.com
    • conservation-abra.hub.arcgis.com
    Updated Oct 26, 2021
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    Allegheny-Blue Ridge Alliance (2021). GSE Project Boundary [Dataset]. https://nfip-abra.hub.arcgis.com/datasets/abra::gse-project-boundary
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    Dataset updated
    Oct 26, 2021
    Dataset authored and provided by
    Allegheny-Blue Ridge Alliance
    Area covered
    Description

    This layer describes the official USFS project boundary for the Greenbrier Southeast forest management project in Pocahontas County, West Virginia.Purpose:This data was created by the U.S. Forest Service staff for use in analysis of the project’s likely environmental impacts.Source & Date:This layer was created from GIS data downloaded in zipped ESRI shapefile format from the project website (https://www.fs.usda.gov/project/?project=55797 - Analysis folder) on 10/15/2021.Processing:ABRA uploaded the shapefile to ArcGIS Online, where it was published as a feature layer.Symbology:GSE Project Boundary: Black

  15. F

    Rest of the World; Agency- and GSE-Backed Securities; Asset, Level

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Rest of the World; Agency- and GSE-Backed Securities; Asset, Level [Dataset]. https://fred.stlouisfed.org/series/ROWGBSQ027S
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    World
    Description

    Graph and download economic data for Rest of the World; Agency- and GSE-Backed Securities; Asset, Level (ROWGBSQ027S) from Q4 1945 to Q4 2024 about GSE, agency, IMA, securities, and assets.

  16. U

    United States Assets: Outs: GSE: Loans

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Assets: Outs: GSE: Loans [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-sector-flows-and-outstanding-government-sponsored-enterprises/assets-outs-gse-loans
    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
    Jun 1, 2015 - Mar 1, 2018
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States Assets: Outs: GSE: Loans data was reported at 6,043.127 USD bn in Mar 2018. This records a decrease from the previous number of 6,051.388 USD bn for Dec 2017. United States Assets: Outs: GSE: Loans data is updated quarterly, averaging 262.860 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 6,051.388 USD bn in Dec 2017 and a record low of 2.827 USD bn in Mar 1952. United States Assets: Outs: GSE: Loans data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB026: Funds by Sector: Flows and Outstanding: Government Sponsored Enterprises.

  17. i

    GSE SYSTEMS INC Insider Trading Data

    • insiderviz.com
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    Insiderviz, GSE SYSTEMS INC Insider Trading Data [Dataset]. https://www.insiderviz.com/company/0000944480
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    Dataset authored and provided by
    Insiderviz
    Description

    Comprehensive dataset of insider trading activities for GSE SYSTEMS INC, including Form 4 filings and transaction visualizations.

  18. F

    Money Market Funds; Agency- and GSE-Backed Securities; Asset, Level

    • fred.stlouisfed.org
    json
    Updated Mar 13, 2025
    + more versions
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    (2025). Money Market Funds; Agency- and GSE-Backed Securities; Asset, Level [Dataset]. https://fred.stlouisfed.org/series/BOGZ1FL633061700A
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Mar 13, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Money Market Funds; Agency- and GSE-Backed Securities; Asset, Level (BOGZ1FL633061700A) from 1945 to 2024 about agency, MMMF, securities, assets, and USA.

  19. U

    United States Flow: GSE: saar: Gross Saving

    • ceicdata.com
    Updated Nov 27, 2021
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    CEICdata.com (2021). United States Flow: GSE: saar: Gross Saving [Dataset]. https://www.ceicdata.com/en/united-states/funds-by-sector-flows-and-outstanding-government-sponsored-enterprises/flow-gse-saar-gross-saving
    Explore at:
    Dataset updated
    Nov 27, 2021
    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
    Mar 1, 2015 - Dec 1, 2017
    Area covered
    United States
    Variables measured
    Flow of Fund Account
    Description

    United States Flow: GSE: saar: Gross Saving data was reported at 7.150 USD bn in Mar 2018. This records an increase from the previous number of 3.951 USD bn for Dec 2017. United States Flow: GSE: saar: Gross Saving data is updated quarterly, averaging 1.023 USD bn from Dec 1951 (Median) to Mar 2018, with 266 observations. The data reached an all-time high of 11.273 USD bn in Jun 2009 and a record low of -0.595 USD bn in Sep 1986. United States Flow: GSE: saar: Gross Saving data remains active status in CEIC and is reported by Federal Reserve Board. The data is categorized under Global Database’s USA – Table US.AB026: Funds by Sector: Flows and Outstanding: Government Sponsored Enterprises.

  20. d

    Cassini MAG Calibrated 1 Sec. Avg. Data in GSE Coords. Collection - Dataset...

    • b2find.dkrz.de
    Updated Mar 5, 2024
    + more versions
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    (2024). Cassini MAG Calibrated 1 Sec. Avg. Data in GSE Coords. Collection - Dataset - B2FIND [Dataset]. https://b2find.dkrz.de/dataset/bdfac447-6109-57d1-a134-7a9664012b48
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    Dataset updated
    Mar 5, 2024
    Description

    This collection contains Cassini magnetic-field 1 second averages, in GSE coordinates, from the Fluxgate Magnetometer (FGM) instrument.

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Georgia No of Trades: GSE [Dataset]. https://www.ceicdata.com/en/georgia/georgian-stock-exchange-turnover/no-of-trades-gse

Georgia No of Trades: GSE

Explore at:
Dataset updated
Jan 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
Georgia
Variables measured
Turnover
Description

Georgia Number of Trades: GSE data was reported at 2.000 Unit in Nov 2018. This records a decrease from the previous number of 8.000 Unit for Oct 2018. Georgia Number of Trades: GSE data is updated monthly, averaging 66.500 Unit from Apr 2000 (Median) to Nov 2018, with 224 observations. The data reached an all-time high of 954.000 Unit in May 2007 and a record low of 0.000 Unit in Jan 2016. Georgia Number of Trades: GSE data remains active status in CEIC and is reported by Georgian Stock Exchange. The data is categorized under Global Database’s Georgia – Table GE.Z003: Georgian Stock Exchange: Turnover.

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