100+ datasets found
  1. Database for estimating CV of VAR

    • figshare.com
    xlsx
    Updated May 13, 2019
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    Cristians Pérez Granados (2019). Database for estimating CV of VAR [Dataset]. http://doi.org/10.6084/m9.figshare.8118290.v1
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    xlsxAvailable download formats
    Dataset updated
    May 13, 2019
    Dataset provided by
    Figsharehttp://figshare.com/
    figshare
    Authors
    Cristians Pérez Granados
    License

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

    Description

    Database used for running Appendix Script A1

  2. m

    Data from: Compilation, Revision and Updating of the Global VAR (GVAR)...

    • data.mendeley.com
    Updated Jan 2, 2024
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    Kamiar Mohaddes (2024). Compilation, Revision and Updating of the Global VAR (GVAR) Database, 1979Q2-2023Q3 [Dataset]. http://doi.org/10.17632/kfp5fhgkvf.1
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    Dataset updated
    Jan 2, 2024
    Authors
    Kamiar Mohaddes
    License

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

    Description

    This is the latest version of the Global VAR (GVAR) dataset - a global modelling framework for analyzing the international macroeconomic transmission of shocks while accounting for drivers of economic activity, interlinkages and spillovers between different countries, and the effects of unobserved or observed common factors. This dataset includes quarterly macroeconomic variables for 33 economies (log real GDP, y, the rate of inflation, dp, short-term interest rate, r, long-term interest rate, lr, the log deflated exchange rate, ep, and log real equity prices, eq, as well as quarterly data on commodity prices (oil prices, poil, agricultural raw material, pmat, and metals prices, pmetal), from 1979Q2 to 2023Q3. These 33 countries cover more than 90% of world GDP.

    It would be appreciated if use of the updated dataset could be acknowledged as: “Mohaddes, K. and M. Raissi (2024). Compilation, Revision and Updating of the Global VAR (GVAR) Database, 1979Q2-2023Q3. University of Cambridge: Judge Business School (mimeo)”.

    For more details on Global VAR (GVAR) modelling, see also www.mohaddes.org/gvar

  3. d

    Variable Insurance Product Data Sets

    • catalog.data.gov
    • s.cnmilf.com
    Updated Nov 21, 2025
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    Economic and Risk Analysis (2025). Variable Insurance Product Data Sets [Dataset]. https://catalog.data.gov/dataset/variable-insurance-product-data-sets
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    Dataset updated
    Nov 21, 2025
    Dataset provided by
    Economic and Risk Analysis
    Description

    The VIP Data Sets provide the text and numeric information extracted from Forms N-3, N-4 and N-6 – the registration forms for variable annuity contracts and contracts offering Index-Linked Options and/or Fixed Options subject to a contract adjustment – filed with the Commission in eXtensible Business Reporting Language (XBRL). The data is presented in a flat file format to assist users in constructing the data for analysis. The data has been automatically and directly taken from submissions created by the registrants and provided as filed with the Commission. The data sets only include publicly available information from filings that have been disseminated by the Commission.

  4. T

    `VAR by Country Dataset

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Mar 26, 2025
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    TRADING ECONOMICS (2025). `VAR by Country Dataset [Dataset]. https://tradingeconomics.com/country-list/%60var
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Mar 26, 2025
    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
    2025
    Area covered
    World
    Description

    This dataset provides values for `VAR reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  5. Data from: SAGE-Var SMC Full Catalog

    • data.nasa.gov
    • catalog.data.gov
    Updated Apr 1, 2025
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    nasa.gov (2025). SAGE-Var SMC Full Catalog [Dataset]. https://data.nasa.gov/dataset/sage-var-smc-full-catalog
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    Dataset updated
    Apr 1, 2025
    Dataset provided by
    NASAhttp://nasa.gov/
    Description

    SAGE-Var is a follow-up to the SAGE and SAGE-SMC Legacy programs. The SAGE-Var program obtained 4 epochs of photometry at 3.6 and 4.5 microns covering the bar of the Large Magellanic Cloud (LMC) and the central region of the Small Magellanic Cloud (SMC) in order to probe the variability of extremely red sources missed by variability surveys conducted at shorter wavelengths, and to provide additional epochs of observation for known variables. The 6 total epochs of observations probe infrared variability on 15 different timescales ranging from 20 days to 5 years.

  6. V

    Vietnam GSO Projection: Population: Var: High: Urban

    • ceicdata.com
    Updated May 28, 2017
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    CEICdata.com (2017). Vietnam GSO Projection: Population: Var: High: Urban [Dataset]. https://www.ceicdata.com/en/vietnam/population-projection-general-statistics-office/gso-projection-population-var-high-urban
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    Dataset updated
    May 28, 2017
    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, 2038 - Dec 1, 2049
    Area covered
    Vietnam
    Description

    Vietnam GSO Projection: Population: Var: High: Urban data was reported at 65,228.000 Person th in 2049. This records an increase from the previous number of 64,208.000 Person th for 2048. Vietnam GSO Projection: Population: Var: High: Urban data is updated yearly, averaging 47,340.500 Person th from Dec 2014 (Median) to 2049, with 36 observations. The data reached an all-time high of 65,228.000 Person th in 2049 and a record low of 29,939.000 Person th in 2014. Vietnam GSO Projection: Population: Var: High: Urban data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G002: Population: Projection: General Statistics Office.

  7. F

    Value Added by Industry: Retail Trade

    • fred.stlouisfed.org
    json
    Updated Sep 25, 2025
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    (2025). Value Added by Industry: Retail Trade [Dataset]. https://fred.stlouisfed.org/series/VAR
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 25, 2025
    License

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

    Description

    Graph and download economic data for Value Added by Industry: Retail Trade (VAR) from Q1 2005 to Q2 2025 about value added, private industries, retail trade, sales, retail, private, industry, and USA.

  8. V

    Vietnam GSO Projection: Population: Var: Low: Southeast

    • ceicdata.com
    Updated Feb 12, 2021
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    CEICdata.com (2021). Vietnam GSO Projection: Population: Var: Low: Southeast [Dataset]. https://www.ceicdata.com/en/vietnam/population-projection-general-statistics-office/gso-projection-population-var-low-southeast
    Explore at:
    Dataset updated
    Feb 12, 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
    Dec 1, 2023 - Dec 1, 2034
    Area covered
    Vietnam
    Description

    Vietnam GSO Projection: Population: Var: Low: Southeast data was reported at 19,056.000 Person th in 2034. This records an increase from the previous number of 18,996.000 Person th for 2033. Vietnam GSO Projection: Population: Var: Low: Southeast data is updated yearly, averaging 17,982.000 Person th from Dec 2014 (Median) to 2034, with 21 observations. The data reached an all-time high of 19,056.000 Person th in 2034 and a record low of 15,721.000 Person th in 2014. Vietnam GSO Projection: Population: Var: Low: Southeast data remains active status in CEIC and is reported by General Statistics Office. The data is categorized under Global Database’s Vietnam – Table VN.G002: Population: Projection: General Statistics Office.

  9. o

    B Var Road Cross Street Data in Supply, NC

    • ownerly.com
    Updated Apr 3, 2022
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    Ownerly (2022). B Var Road Cross Street Data in Supply, NC [Dataset]. https://www.ownerly.com/nc/supply/b-var-rd-home-details
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    Dataset updated
    Apr 3, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Supply, B-Var Road Southwest, North Carolina
    Description

    This dataset provides information about the number of properties, residents, and average property values for B Var Road cross streets in Supply, NC.

  10. F

    France Wines: Inventory: Other Wines: Dept: Var

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). France Wines: Inventory: Other Wines: Dept: Var [Dataset]. https://www.ceicdata.com/en/france/wine-statistics/wines-inventory-other-wines-dept-var
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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
    Mar 1, 2017 - Feb 1, 2018
    Area covered
    France
    Variables measured
    Agricultural, Fishery and Forestry Inventory
    Description

    France Wines: Inventory: Other Wines: Dept: Var data was reported at 2,369.000 hl in Apr 2018. This records a decrease from the previous number of 2,535.000 hl for Mar 2018. France Wines: Inventory: Other Wines: Dept: Var data is updated monthly, averaging 21,129.000 hl from Aug 2002 (Median) to Apr 2018, with 189 observations. The data reached an all-time high of 132,174.000 hl in May 2008 and a record low of 1,373.000 hl in Feb 2016. France Wines: Inventory: Other Wines: Dept: Var data remains active status in CEIC and is reported by General Directorate of Customs and Excise. The data is categorized under Global Database’s France – Table FR.B013: Wine Statistics.

  11. Data from: Phylogeography of var gene repertoires reveals fine-scale...

    • data.niaid.nih.gov
    • datadryad.org
    • +1more
    zip
    Updated Dec 16, 2014
    + more versions
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    Sofonias K. Tessema; Stephanie L. Monk; Mark B. Schultz; Livingstone Tavul; John C. Reeder; Peter M. Siba; Ivo Mueller; Alyssa E. Barry (2014). Phylogeography of var gene repertoires reveals fine-scale geospatial clustering of Plasmodium falciparum populations in a highly endemic area [Dataset]. http://doi.org/10.5061/dryad.g69g5
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    zipAvailable download formats
    Dataset updated
    Dec 16, 2014
    Dataset provided by
    Papua New Guinea Institute of Medical Research
    The University of Melbourne
    Burnet Institute
    Authors
    Sofonias K. Tessema; Stephanie L. Monk; Mark B. Schultz; Livingstone Tavul; John C. Reeder; Peter M. Siba; Ivo Mueller; Alyssa E. Barry
    License

    https://spdx.org/licenses/CC0-1.0.htmlhttps://spdx.org/licenses/CC0-1.0.html

    Area covered
    Papua New Guinea
    Description

    Plasmodium falciparum malaria is a major global health problem that is being targeted for progressive elimination. Knowledge of local disease transmission patterns in endemic countries is critical to these elimination efforts. To investigate fine-scale patterns of malaria transmission, we have compared repertoires of rapidly evolving var genes in a highly endemic area. A total of 3680 high quality DBLα sequences were obtained from 68 P. falciparum isolates from ten villages spread over two distinct catchment areas on the north coast of Papua New Guinea (PNG). Modeling of the extent of var gene diversity in the two parasite populations predicts more than twice as many var gene alleles circulating within each catchment (Mugil=906; Wosera=1094) than previously recognized in PNG (Amele=369). In addition, there were limited levels of var gene sharing between populations, consistent with local parasite population structure. Phylogeographic analyses demonstrate that while neutrally evolving microsatellite markers identified population structure only at the catchment level, var gene repertoires reveal further fine-scale geospatial clustering of parasite isolates. The clustering of parasite isolates by village in Mugil, but not in Wosera was consistent with the physical and cultural isolation of the human populations in the two catchments. The study highlights the micro-heterogeneity of P. falciparum transmission in highly endemic areas and demonstrates the potential of var genes as markers of local patterns of parasite population structure.

  12. T

    `VAR by Country in AFRICA

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 10, 2025
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    TRADING ECONOMICS (2025). `VAR by Country in AFRICA [Dataset]. https://tradingeconomics.com/country-list/%60var?continent=africa
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    May 10, 2025
    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
    2025
    Area covered
    Africa
    Description

    This dataset provides values for `VAR reported in several countries. The data includes current values, previous releases, historical highs and record lows, release frequency, reported unit and currency.

  13. s

    India Var Export | List of Var Exporters & Suppliers

    • seair.co.in
    Updated Nov 22, 2016
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    Seair Exim Solutions (2016). India Var Export | List of Var Exporters & Suppliers [Dataset]. https://www.seair.co.in/var-export-data.aspx
    Explore at:
    .text/.csv/.xml/.xls/.binAvailable download formats
    Dataset updated
    Nov 22, 2016
    Dataset authored and provided by
    Seair Exim Solutions
    Area covered
    India
    Description

    Explore Indian Var export data with HS codes, pricing, ports, and a verified list of Var exporters and suppliers from India with complete shipment insights.

  14. d

    Replication Data for: The words have power: the impact of news on exchange...

    • dataone.org
    Updated Dec 16, 2023
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    Shugliashvili, Teona (2023). Replication Data for: The words have power: the impact of news on exchange rates [Dataset]. http://doi.org/10.7910/DVN/AXVTYQ
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Shugliashvili, Teona
    Description

    Hereby I am sharing the data used in the paper: "The words have power: the impact of news on exchange rates". The dataset includes: Taylor Rule Fundamentals: - inflation, - industrial production index (as a high-frequency proxy of GDP), - money market rate from 2000 until 2018. Textual information: - Entropies of news items about the U.S. Dollar from Nexis-Uni database. This is how we get the textual data from Nexis-Uni database: We enter “U.S. Dollar” as a keyword in searching for the news, which gives over 15 Million non-duplicate news. Next, we clean data news and select the relevant news items as follows. We select news about U.S. Dollar with the following criteria: (i) the U.S. Dollar appears in the title of news items, (ii) U.S. Dollar is repeated several times in the news, (iii) the first paragraph of news contains the word “U.S. Dollar”, (iv) U.S. Dollar is the subject of news items which are automatically selected by Nexis-Uni database. - economic policy uncertainty index from https://www.policyuncertainty.com/index.html

  15. Variable Data Printing Labels Market Size, Trends, Growth Report & Share...

    • mordorintelligence.com
    pdf,excel,csv,ppt
    Updated Jul 9, 2025
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    Mordor Intelligence (2025). Variable Data Printing Labels Market Size, Trends, Growth Report & Share 2030 [Dataset]. https://www.mordorintelligence.com/industry-reports/variable-data-printing-labels-market
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    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Mordor Intelligence
    License

    https://www.mordorintelligence.com/privacy-policyhttps://www.mordorintelligence.com/privacy-policy

    Time period covered
    2019 - 2030
    Area covered
    Global
    Description

    The Variable Data Printing Labels Market Report is Segmented by Component (Hardware, Software, Services), Label Type (Release Liner Labels, Linerless Labels), Printing Technology (Thermal Transfer Printing, Direct Thermal Printing, Inkjet Printing, Electrophotography, Flexographic Printing), End-Use Industry (Healthcare, Retail and E-Commerce, and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

  16. e

    Var Electrochem Private Limited Export Import Data | Eximpedia

    • eximpedia.app
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    Var Electrochem Private Limited Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/var-electrochem-private-limited/91358622
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    Description

    Var Electrochem Private Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  17. Z

    Variable Data Printing Market By Material ( flexible & rigid plastic, paper...

    • zionmarketresearch.com
    pdf
    Updated Nov 23, 2025
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    Zion Market Research (2025). Variable Data Printing Market By Material ( flexible & rigid plastic, paper & paperboard, and glass & metal), BY Categorized (cosmetics & toiletries, food & beverages, and healthcare), By Label (printing technology as digital, flexography, offset, and rotogravure) And By Region: - Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts, 2023-2030 [Dataset]. https://www.zionmarketresearch.com/report/variable-data-printing-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Nov 23, 2025
    Dataset authored and provided by
    Zion Market Research
    License

    https://www.zionmarketresearch.com/privacy-policyhttps://www.zionmarketresearch.com/privacy-policy

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    Global Variable Data Printing Market was valued at $22.51 Billion in 2022, and is projected to reach $60.56 Billion by 2030, at a CAGR of 13.17% from 2023 to 2030.

  18. Salmonella In Silico Typing Resource (SISTR) commandline tool database...

    • zenodo.org
    application/gzip
    Updated Mar 26, 2025
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    Kyrylo Bessonov; Kyrylo Bessonov (2025). Salmonella In Silico Typing Resource (SISTR) commandline tool database version 1.1.3 used by SISTR release version 1.1.3 and up [Dataset]. http://doi.org/10.5281/zenodo.14270992
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    application/gzipAvailable download formats
    Dataset updated
    Mar 26, 2025
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kyrylo Bessonov; Kyrylo Bessonov
    License

    http://www.apache.org/licenses/LICENSE-2.0http://www.apache.org/licenses/LICENSE-2.0

    Description

    Context

    Salmonella In Silico Typing Resource (SISTR) commandline tool enables the identification of the Salmonella serovar and cgMLST types of Salmonella from whole genome sequencing (WGS) data tby using a large database (10,000+) of Salmonella genomes and cgMLST profiles based on the 330 alleles. This database is the central part of the SISTR tool and contains both metadata on 2660 serovars and the corresponding antigenic formula, 84463 genomes to serovar mappings, sequences of the O, H1 and H2 antigens, 139729 cgMLST sequences and 38240 profiles with pairwise distances, MASH sketch of the 15465 genomes used for species and serovar identification.

    For more information and citation please refer to the following publication and official repository at https://github.com/phac-nml/sistr_cmd/tree/master

    Note: This database was used by SISTR tool up to version 1.1.2 inclusive. From SISTR release 1.1.3 onwards the slightly modified version of this database will be used onwards with changes detailed in https://github.com/phac-nml/sistr_cmd/blob/master/CHANGELOG.md

    Citation

    The Salmonella In Silico Typing Resource (SISTR): an open web-accessible tool for rapidly typing and subtyping draft Salmonella genome assemblies. Catherine Yoshida, Peter Kruczkiewicz, Chad R. Laing, Erika J. Lingohr, Victor P.J. Gannon, John H.E. Nash, Eduardo N. Taboada. PLoS ONE 11(1): e0147101. doi: 10.1371/journal.pone.0147101. http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0147101" href="http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0147101">http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0147101

    Version changes from v1 to v2

    In genomes-to-serovar.txt following serovar changes were made to increase serovar prediction accuracy

    genome accessionserovar previousserovar current
    17-2557Paratyphi B var. JavaParatyphi B
    17-8544Paratyphi B var. JavaParatyphi B
    17-9304Paratyphi B var. JavaParatyphi B
    18-0116Paratyphi B var. JavaParatyphi B
    17-7324Paratyphi B var. JavaParatyphi B
    17-9312Paratyphi B var. JavaParatyphi B
  19. e

    Var Medical Joint Stock Company Export Import Data | Eximpedia

    • eximpedia.app
    Updated Oct 22, 2025
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    (2025). Var Medical Joint Stock Company Export Import Data | Eximpedia [Dataset]. https://www.eximpedia.app/companies/var-medical-joint-stock-company/64248302
    Explore at:
    Dataset updated
    Oct 22, 2025
    Description

    Var Medical Joint Stock Company Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

  20. y

    Variable Message Signs - Dataset - York Open Data

    • data.yorkopendata.org
    • ckan.york.staging.datopian.com
    Updated May 9, 2017
    + more versions
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    (2017). Variable Message Signs - Dataset - York Open Data [Dataset]. https://data.yorkopendata.org/dataset/variable-message-signs
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    Dataset updated
    May 9, 2017
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    York
    Description

    Variable Message Signs (VMS) in York. For further information about traffic management please visit the City of York Council website. *Please note that the data published within this dataset is a live API link to CYC's GIS server. Any changes made to the master copy of the data will be immediately reflected in the resources of this dataset.The date shown in the "Last Updated" field of each GIS resource reflects when the data was first published.

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Cristians Pérez Granados (2019). Database for estimating CV of VAR [Dataset]. http://doi.org/10.6084/m9.figshare.8118290.v1
Organization logoOrganization logo

Database for estimating CV of VAR

Explore at:
xlsxAvailable download formats
Dataset updated
May 13, 2019
Dataset provided by
Figsharehttp://figshare.com/
figshare
Authors
Cristians Pérez Granados
License

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

Description

Database used for running Appendix Script A1

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