100+ datasets found
  1. C

    Regional Topographic Database - CTR - Multiscale (WMS)

    • ckan.mobidatalab.eu
    wms
    Updated Apr 27, 2023
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    GeoDatiGovIt RNDT (2023). Regional Topographic Database - CTR - Multiscale (WMS) [Dataset]. https://ckan.mobidatalab.eu/gl/dataset/regional-topographic-database-ctr-multiscale-wms
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    wmsAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    Multiscale WMS of the CTR representation derived from the DBTR, which allows the display of different layers according to the effective display scale. The service is made up of the following layers:- DBTR_CTR 1:5.000 full, up to display scale approximately 1:7.000- DBTR_CTR 1:10,000 light, up to approx. 1:17,000 display scale- DBTR_CTR 1:25,000 full, up to approx. 1:37,000 display scale- DBTR_CTR 1:50,000 full, up to approx. 1:87,000 display scale- CTR 1: 250.000 (Physical Political Map 1:250.000 monochrome ed.2021)

  2. e

    Calabria Region — Topographic database of CTR 1:5000 (year 2008)

    • data.europa.eu
    Updated Oct 12, 2021
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    (2021). Calabria Region — Topographic database of CTR 1:5000 (year 2008) [Dataset]. https://data.europa.eu/data/datasets/r_calabr-00012-20140916-100909
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    Dataset updated
    Oct 12, 2021
    Description

    The DBGT of the Calabria region was derived from the Numerical Technical Charter 1:5000 according to the specifications developed by the CNIPA

  3. Test Data for CTR Prediction

    • kaggle.com
    Updated Nov 30, 2021
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    Gaurav Dutta (2021). Test Data for CTR Prediction [Dataset]. https://www.kaggle.com/datasets/gauravduttakiit/test-data-for-ctr-prediction
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 30, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Gaurav Dutta
    Description

    Dataset

    This dataset was created by Gaurav Dutta

    Contents

  4. C

    CTR coverage on the FVG Municipalities

    • ckan.mobidatalab.eu
    xls, zip
    Updated Apr 27, 2023
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    GeoDatiGovIt RNDT (2023). CTR coverage on the FVG Municipalities [Dataset]. https://ckan.mobidatalab.eu/dataset/coverage-ctr-on-municipalities-fvg
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    zip, xlsAvailable download formats
    Dataset updated
    Apr 27, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    List that identifies, for each of the 219 Municipalities of Friuli Venezia Giulia, the coverage cartographic elements with reference to the Regional Technical Map at a scale of 1:5000

  5. C

    Q_25K_P05PRESE

    • ckan.mobidatalab.eu
    • geodati.gov.it
    Updated Apr 28, 2023
    + more versions
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    GeoDatiGovIt RNDT (2023). Q_25K_P05PRESE [Dataset]. https://ckan.mobidatalab.eu/dataset/q_25k_p05prese
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    Dataset updated
    Apr 28, 2023
    Dataset provided by
    GeoDatiGovIt RNDT
    Description

    The Point geometry Feature Class Q_25K_P05PRESE represents the punctual location of the sources. Deriving from the database created on a 1:5,000 scale of the multiscale DBTI (Integrated Territorial Database) which envisaged the adaptation and structuring, with respect to the IntesaGis standards, of the I and II lot of the CTRN and the subsequent updating through the photogrammetric recovery of 2007 The geographical information has been organized in hierarchical groups, according to the model defined within the scope of the State-Regions agreement on geographic information systems.

  6. e

    CR383G_CS_MAR_LIN

    • data.europa.eu
    Updated Aug 27, 2014
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    (2014). CR383G_CS_MAR_LIN [Dataset]. https://data.europa.eu/data/datasets/r_abruzz-00341-20140827-113819?locale=en
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    Dataset updated
    Aug 27, 2014
    Description

    The Feature Class CR383G_CS_MAR_LIN with Line geometry belongs to the theme Marine Waters and represents the linear route of the Line of Sea Coast. Derived from the database produced on a scale of 1:5,000 of the multiscale DBTI (Integrated Territorial Database), which provided for the adaptation and structuring, in relation to IntesaGIS standards, of the I and II lot of the CTRN and the subsequent update by means of the photogrammetric resumption of 2007. The geographical information was organised into hierarchical groups, following the model defined in the framework of the State-Regions Agreement on Geographical Information Systems.

  7. Global import data of Adapter Ctr

    • volza.com
    csv
    Updated Aug 7, 2025
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    Volza FZ LLC (2025). Global import data of Adapter Ctr [Dataset]. https://www.volza.com/imports-united-states/united-states-import-data-of-adapter+ctr
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    csvAvailable download formats
    Dataset updated
    Aug 7, 2025
    Dataset provided by
    Volza
    Authors
    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 importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

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

  8. Data generated in deep-learning-based framework

    • figshare.com
    application/x-rar
    Updated Jul 7, 2023
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    dong zhang; Yongjian Nian (2023). Data generated in deep-learning-based framework [Dataset]. http://doi.org/10.6084/m9.figshare.23635077.v2
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    application/x-rarAvailable download formats
    Dataset updated
    Jul 7, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    dong zhang; Yongjian Nian
    License

    https://www.apache.org/licenses/LICENSE-2.0.htmlhttps://www.apache.org/licenses/LICENSE-2.0.html

    Description

    These include statistical data generated by constructing the cxr-al14 dataset, data generated by deep learning model training, and raw data generated by model performance evaluation.

  9. Mexico Public Fin: ytd: NE: NP: FC: ICE: Pub Entity Under Direct Budget Ctr

    • dr.ceicdata.com
    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico Public Fin: ytd: NE: NP: FC: ICE: Pub Entity Under Direct Budget Ctr [Dataset]. https://www.dr.ceicdata.com/en/mexico/public-finance-financial-position-year-to-date/public-fin-ytd-ne-np-fc-ice-pub-entity-under-direct-budget-ctr
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    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, 2018 - Feb 1, 2019
    Area covered
    Mexico
    Variables measured
    Government Budget
    Description

    Mexico Public Fin: Year to Date: NE: NP: FC: ICE: Pub Entity Under Direct Budget Ctr data was reported at 29,479.058 MXN mn in Feb 2019. This records an increase from the previous number of 18,303.578 MXN mn for Jan 2019. Mexico Public Fin: Year to Date: NE: NP: FC: ICE: Pub Entity Under Direct Budget Ctr data is updated monthly, averaging 12,536.980 MXN mn from Jan 1990 (Median) to Feb 2019, with 350 observations. The data reached an all-time high of 147,942.364 MXN mn in Dec 2018 and a record low of 223.573 MXN mn in Jan 1991. Mexico Public Fin: Year to Date: NE: NP: FC: ICE: Pub Entity Under Direct Budget Ctr data remains active status in CEIC and is reported by Secretary of Finance and Public Credit. The data is categorized under Global Database’s Mexico – Table MX.F005: Public Finance: Financial Position: Year to Date.

  10. United States GCR: sa: Current Transfer Receipts (CTR)

    • ceicdata.com
    Updated Oct 15, 2003
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    CEICdata.com (2003). United States GCR: sa: Current Transfer Receipts (CTR) [Dataset]. https://www.ceicdata.com/en/united-states/nipa-2003-government-revenue-and-expenditure-seasonally-adjusted/gcr-sa-current-transfer-receipts-ctr
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    Dataset updated
    Oct 15, 2003
    Dataset provided by
    CEIC Data
    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, 2006 - Mar 1, 2009
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States GCR: sa: Current Transfer Receipts (CTR) data was reported at 174.200 USD bn in Mar 2009. This records an increase from the previous number of 166.600 USD bn for Dec 2008. United States GCR: sa: Current Transfer Receipts (CTR) data is updated quarterly, averaging 7.600 USD bn from Mar 1947 (Median) to Mar 2009, with 249 observations. The data reached an all-time high of 174.200 USD bn in Mar 2009 and a record low of 0.500 USD bn in Jun 1947. United States GCR: sa: Current Transfer Receipts (CTR) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A188: NIPA 2003: Government Revenue and Expenditure: Seasonally Adjusted.

  11. o

    Woodrdg Ctr Drive Cross Street Data in Charlotte, NC

    • ownerly.com
    Updated Jun 8, 2022
    + more versions
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    Ownerly (2022). Woodrdg Ctr Drive Cross Street Data in Charlotte, NC [Dataset]. https://www.ownerly.com/nc/charlotte/woodrdg-ctr-dr-home-details
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    Dataset updated
    Jun 8, 2022
    Dataset authored and provided by
    Ownerly
    Area covered
    Charlotte, North Carolina
    Description

    This dataset provides information about the number of properties, residents, and average property values for Woodrdg Ctr Drive cross streets in Charlotte, NC.

  12. Bose jeffersonville dist ctr Import Company US

    • seair.co.in
    Updated Jan 7, 2018
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    Seair Exim (2018). Bose jeffersonville dist ctr Import Company US [Dataset]. https://www.seair.co.in
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    .bin, .xml, .csv, .xlsAvailable download formats
    Dataset updated
    Jan 7, 2018
    Dataset provided by
    Seair Exim Solutions
    Authors
    Seair Exim
    Area covered
    United States
    Description

    Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

  13. d

    Abstracts of Offers in Compromise (CTR)

    • catalog.data.gov
    • datadiscoverystudio.org
    • +1more
    Updated Feb 12, 2025
    + more versions
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    TTB (2025). Abstracts of Offers in Compromise (CTR) [Dataset]. https://catalog.data.gov/dataset/abstracts-of-offers-in-compromise-ctr-ffae2
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    Dataset updated
    Feb 12, 2025
    Dataset provided by
    TTB
    Description

    Forms summarizing the Offers in Compromise accepted by TTB under the Collect the Revenue program code.

  14. Global exporters importers-export import data of Assembly ctr plr

    • volza.com
    csv
    Updated Sep 7, 2025
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    Volza FZ LLC (2025). Global exporters importers-export import data of Assembly ctr plr [Dataset]. https://www.volza.com/trade-data-global/global-exporters-importers-export-import-data-of-assembly+ctr+plr
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 7, 2025
    Dataset provided by
    Volza
    Authors
    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, Count of importers, Count of shipments, Sum of export import value
    Description

    216 Global exporters importers export import shipment records of Assembly ctr plr with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  15. United States SLCR: saar: Current Transfer Receipts (CTR)

    • ceicdata.com
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    CEICdata.com, United States SLCR: saar: Current Transfer Receipts (CTR) [Dataset]. https://www.ceicdata.com/en/united-states/nipa-2009-state-and-local-government-revenue-and-expenditure-seasonally-adjusted-at-annual-rates/slcr-saar-current-transfer-receipts-ctr
    Explore at:
    Dataset provided by
    CEIC Data
    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, 2010 - Mar 1, 2013
    Area covered
    United States
    Variables measured
    Gross Domestic Product
    Description

    United States SLCR: saar: Current Transfer Receipts (CTR) data was reported at 583.800 USD bn in Mar 2013. This records a decrease from the previous number of 597.500 USD bn for Dec 2012. United States SLCR: saar: Current Transfer Receipts (CTR) data is updated quarterly, averaging 76.200 USD bn from Mar 1947 (Median) to Mar 2013, with 265 observations. The data reached an all-time high of 660.800 USD bn in Dec 2010 and a record low of 1.600 USD bn in Mar 1947. United States SLCR: saar: Current Transfer Receipts (CTR) data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.A145: NIPA 2009: State and Local Government Revenue and Expenditure: Seasonally Adjusted at Annual Rates.

  16. Global import data of Ctr Upper

    • volza.com
    csv
    Updated Sep 7, 2025
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    Volza FZ LLC (2025). Global import data of Ctr Upper [Dataset]. https://www.volza.com/p/ctr-upper/import/import-in-united-states/coo-china/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Sep 7, 2025
    Dataset provided by
    Volza
    Authors
    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 importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

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

  17. o

    Turner Ctr Road Cross Street Data in Turner, ME

    • ownerly.com
    Updated Dec 3, 2021
    + more versions
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    Ownerly (2021). Turner Ctr Road Cross Street Data in Turner, ME [Dataset]. https://www.ownerly.com/me/turner/turner-ctr-rd-home-details
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    Dataset updated
    Dec 3, 2021
    Dataset authored and provided by
    Ownerly
    Area covered
    Turner, Maine, Turner Center Road
    Description

    This dataset provides information about the number of properties, residents, and average property values for Turner Ctr Road cross streets in Turner, ME.

  18. E

    Copper Ctr (Imiq: 11248)

    • erddap.sensors.ioos.us
    Updated Oct 31, 1982
    + more versions
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    NOAA National Climatic Data Center (NCDC) (1982). Copper Ctr (Imiq: 11248) [Dataset]. http://erddap.sensors.ioos.us/erddap/info/imiq_11248_usc00502156/index.html
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    Dataset updated
    Oct 31, 1982
    Dataset provided by
    Imiq - Hydroclimate Database and Data Portal
    Authors
    NOAA National Climatic Data Center (NCDC)
    Time period covered
    Jul 1, 1902 - Oct 31, 1982
    Area covered
    Variables measured
    z, time, station, latitude, longitude, air_temperature, air_temperature_qc_agg, surface_snow_thickness, air_temperature_qc_tests, surface_snow_thickness_qc_agg, and 4 more
    Description

    Timeseries data from 'Copper Ctr (Imiq: 11248)' (imiq_11248_usc00502156) cdm_data_type=TimeSeries cdm_timeseries_variables=station,longitude,latitude contributor_email=,satellite@gina.alaska.edu,,,feedback@axiomdatascience.com contributor_name=North Slope Science Initiative (NSSI),Geographic Information Network of Alaska (GINA),Arctic Landscape Conservation Cooperative (Arctic LCC, defunded 2019),US Fish and Wildlife Service (US FWS),Axiom Data Science contributor_role=sponsor,contributor,sponsor,sponsor,processor contributor_role_vocabulary=NERC contributor_url=https://northslopescience.org/,https://gina.alaska.edu/,https://lccnetwork.org/lcc/arctic,https://www.fws.gov/,https://www.axiomdatascience.com Conventions=IOOS-1.2, CF-1.6, ACDD-1.3, NCCSV-1.2 defaultDataQuery=air_temperature,lwe_thickness_of_precipitation_amount_cm_time_sum_over_p1d_qc_agg,z,lwe_thickness_of_precipitation_amount_cm_time_sum_over_p1d,time,surface_snow_thickness_qc_agg,surface_snow_thickness,air_temperature_qc_agg&time>=max(time)-3days Easternmost_Easting=-145.3167 featureType=TimeSeries geospatial_lat_max=61.9667 geospatial_lat_min=61.9667 geospatial_lat_units=degrees_north geospatial_lon_max=-145.3167 geospatial_lon_min=-145.3167 geospatial_lon_units=degrees_east geospatial_vertical_max=0.0 geospatial_vertical_min=0.0 geospatial_vertical_positive=up geospatial_vertical_units=m history=Downloaded from Imiq - Hydroclimate Database and Data Portal at id=113164 infoUrl=https://sensors.ioos.us/#metadata/113164/station institution=NOAA National Climatic Data Center (NCDC) naming_authority=com.axiomdatascience Northernmost_Northing=61.9667 platform=fixed platform_name=Copper Ctr (Imiq: 11248) platform_vocabulary=http://mmisw.org/ont/ioos/platform processing_level=Level 2 references=https://www.ncdc.noaa.gov/,, sourceUrl=https://www.ncdc.noaa.gov/ Southernmost_Northing=61.9667 standard_name_vocabulary=CF Standard Name Table v72 station_id=113164 time_coverage_end=1982-10-31T00:00:00Z time_coverage_start=1902-07-01T00:00:00Z Westernmost_Easting=-145.3167

  19. United States Employment: NF: sa: RT: LG: Nursery, Garden Ctr, & Farm Supply...

    • dr.ceicdata.com
    Updated Feb 10, 2023
    + more versions
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    CEICdata.com (2023). United States Employment: NF: sa: RT: LG: Nursery, Garden Ctr, & Farm Supply [Dataset]. https://www.dr.ceicdata.com/en/united-states/current-employment-statistics-survey-employment-non-farm-payroll-sa/employment-nf-sa-rt-lg-nursery-garden-ctr--farm-supply
    Explore at:
    Dataset updated
    Feb 10, 2023
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    United States
    Variables measured
    Employment
    Description

    United States Employment: NF: sa: RT: LG: Nursery, Garden Ctr, & Farm Supply data was reported at 157.200 Person th in Mar 2025. This records an increase from the previous number of 157.100 Person th for Feb 2025. United States Employment: NF: sa: RT: LG: Nursery, Garden Ctr, & Farm Supply data is updated monthly, averaging 120.100 Person th from Jan 1990 (Median) to Mar 2025, with 423 observations. The data reached an all-time high of 159.400 Person th in Sep 2022 and a record low of 96.500 Person th in Nov 2009. United States Employment: NF: sa: RT: LG: Nursery, Garden Ctr, & Farm Supply data remains active status in CEIC and is reported by U.S. Bureau of Labor Statistics. The data is categorized under Global Database’s United States – Table US.G060: Current Employment Statistics: Employment: Non Farm Payroll: Seasonally Adjusted.

  20. Global export data of Ctr,facia

    • volza.com
    csv
    Updated Jun 24, 2025
    + more versions
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    Volza FZ LLC (2025). Global export data of Ctr,facia [Dataset]. https://www.volza.com/p/ctr-or-facia/export/export-from-india/cod-united-states/
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 24, 2025
    Dataset provided by
    Volza
    Authors
    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

    1970 Global export shipment records of Ctr,facia with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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GeoDatiGovIt RNDT (2023). Regional Topographic Database - CTR - Multiscale (WMS) [Dataset]. https://ckan.mobidatalab.eu/gl/dataset/regional-topographic-database-ctr-multiscale-wms

Regional Topographic Database - CTR - Multiscale (WMS)

Explore at:
wmsAvailable download formats
Dataset updated
Apr 27, 2023
Dataset provided by
GeoDatiGovIt RNDT
Description

Multiscale WMS of the CTR representation derived from the DBTR, which allows the display of different layers according to the effective display scale. The service is made up of the following layers:- DBTR_CTR 1:5.000 full, up to display scale approximately 1:7.000- DBTR_CTR 1:10,000 light, up to approx. 1:17,000 display scale- DBTR_CTR 1:25,000 full, up to approx. 1:37,000 display scale- DBTR_CTR 1:50,000 full, up to approx. 1:87,000 display scale- CTR 1: 250.000 (Physical Political Map 1:250.000 monochrome ed.2021)

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