100+ datasets found
  1. LED's OnTheMap Interactive Tool

    • data.wu.ac.at
    • census.data.commerce.gov
    • +2more
    html
    Updated Jun 6, 2013
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    Department of Commerce (2013). LED's OnTheMap Interactive Tool [Dataset]. https://data.wu.ac.at/schema/data_gov/ZDkwNTBiZmUtMTlkNy00NzlmLWEyYzMtOTFjNzZhNDIzMjc1
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    htmlAvailable download formats
    Dataset updated
    Jun 6, 2013
    Dataset provided by
    United States Department of Commercehttp://www.commerce.gov/
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Area covered
    79c2d646201675a04d8fe9a513032b89cb8b7a27
    Description

    The OnTheMap application provides detailed spatial distributions of workers' employment and residential locations and the relation between the two at the Census Block level. OnTheMap also provides characteristic detail on age, earnings, industry distributions, and local workforce indicators.

  2. Online Supplemental Materials for: "Total Error and Variability Measures for...

    • zenodo.org
    bin, pdf
    Updated Jul 19, 2024
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    Kevin M. McKinney; Andrew Green; Lars Vilhuber; Lars Vilhuber; John M. Abowd; John M. Abowd; Kevin M. McKinney; Andrew Green (2024). Online Supplemental Materials for: "Total Error and Variability Measures for the Quarterly Workforce Indicators and LEHD Origin Destination Employment Statistics in OnTheMap" [Dataset]. http://doi.org/10.5281/zenodo.3950353
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    bin, pdfAvailable download formats
    Dataset updated
    Jul 19, 2024
    Dataset provided by
    Zenodohttp://zenodo.org/
    Authors
    Kevin M. McKinney; Andrew Green; Lars Vilhuber; Lars Vilhuber; John M. Abowd; John M. Abowd; Kevin M. McKinney; Andrew Green
    License

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

    Description

    This archive contains supplementary materials for the published manuscript.

    We report results from the first comprehensive total quality evaluation of five major indicators in the U.S. Census Bureau's Longitudinal Employer-Household Dynamics (LEHD) Program Quarterly Workforce Indicators (QWI): total flow-employment, beginning-of-quarter employment, full-quarter employment, average monthly earnings of full-quarter employees, and total quarterly payroll. Beginning-of-quarter employment is also the main tabulation variable in the LEHD Origin-Destination Employment Statistics (LODES) workplace reports as displayed in OnTheMap (OTM), including OnTheMap for Emergency Management. We account for errors due to coverage; record-level non-response; edit and imputation of item missing data; and statistical disclosure limitation. The analysis reveals that the five publication variables under study are estimated very accurately for tabulations involving at least 10 jobs. Tabulations involving three to nine jobs are a transition zone, where cells may be fit for use with caution. Tabulations involving one or two jobs, which are generally suppressed on fitness-for-use criteria in the QWI and synthesized in LODES, have substantial total variability but can still be used to estimate statistics for untabulated aggregates as long as the job count in the aggregate is more than 10.

  3. a

    Where Workers Live: LEHD 2015, Age 55 and Over

    • geospark-mvrpc.opendata.arcgis.com
    Updated Dec 14, 2017
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    Miami Valley Regional Planning Commission (2017). Where Workers Live: LEHD 2015, Age 55 and Over [Dataset]. https://geospark-mvrpc.opendata.arcgis.com/items/c8d91c7cda1b4f068c0a9a2545da59c7
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    Dataset updated
    Dec 14, 2017
    Dataset authored and provided by
    Miami Valley Regional Planning Commission
    Area covered
    Description

    This raster analysis is based on 2015 LEHD data by location of the worker's home for all jobs. This raster layer is a point density analysis of the density of homes of workers 55 or older. The cell size is set at 200 feet; the radius is set at ¾ mile.

    Learn more about the LEHD data at the Census' website.

    U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

  4. c

    Workplace County of Champaign County Residents

    • data.ccrpc.org
    csv
    Updated Feb 6, 2025
    + more versions
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    Champaign County Regional Planning Commission (2025). Workplace County of Champaign County Residents [Dataset]. https://data.ccrpc.org/el/dataset/94e3f17f-5d46-4a2f-9c61-a9dd871edc94
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    csv(448)Available download formats
    Dataset updated
    Feb 6, 2025
    Dataset provided by
    Champaign County Regional Planning Commission
    Area covered
    Champaign County
    Description

    Source: U.S. Census Bureau; Longitudinal Employer-Household Dynamics; "Job Counts by Counties Where Workers are Employed - Primary Jobs" 2022; OnTheMap; http://onthemap.ces.census.gov; generated by CCRPC staff; (6 February 2025).

  5. a

    LEHD 2015, Home: Education High School

    • geospark-mvrpc.opendata.arcgis.com
    Updated Dec 14, 2017
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    Miami Valley Regional Planning Commission (2017). LEHD 2015, Home: Education High School [Dataset]. https://geospark-mvrpc.opendata.arcgis.com/datasets/d5af037428864356b6504042ce85c95e?layer=2
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    Dataset updated
    Dec 14, 2017
    Dataset authored and provided by
    Miami Valley Regional Planning Commission
    Area covered
    Description

    This raster analysis is based on 2015 LEHD data by location of the worker's home for all jobs. This raster layer is a point density analysis of the density of homes of workers with only a high school diploma. The cell size is set at 200 feet; the radius is set at ¾ mile.

    Learn more about the LEHD data at the Census' website.

    U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

  6. a

    LEHD County Attributes, 2015

    • geospark-mvrpc.opendata.arcgis.com
    • hub.arcgis.com
    Updated Dec 8, 2017
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    Miami Valley Regional Planning Commission (2017). LEHD County Attributes, 2015 [Dataset]. https://geospark-mvrpc.opendata.arcgis.com/datasets/lehd-county-attributes-2015
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    Dataset updated
    Dec 8, 2017
    Dataset authored and provided by
    Miami Valley Regional Planning Commission
    Area covered
    Description

    2015 LEHD county attributes for the Workforce Profile.Learn more about the LEHD data at the Census' website.

    U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

  7. e

    INSPIRE Download Service (predefined ATOM) for dataset On the map

    • data.europa.eu
    atom feed
    Updated Dec 12, 2024
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    LVermGeo im Auftrag von Niederahr (2024). INSPIRE Download Service (predefined ATOM) for dataset On the map [Dataset]. https://data.europa.eu/data/datasets/ac27a20a-dd39-0002-eb54-4b0f0f8a9132/embed?locale=en
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    atom feedAvailable download formats
    Dataset updated
    Dec 12, 2024
    Dataset authored and provided by
    LVermGeo im Auftrag von Niederahr
    License

    http://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/conditionsUnknownhttp://inspire.ec.europa.eu/metadata-codelist/ConditionsApplyingToAccessAndUse/conditionsUnknown

    Description

    Description of the INSPIRE Download Service (predefined Atom): On the map of the municipality of Niederahr - The link(s) for downloading the datasets is/are dynamically generated from Get Map calls to a WMS interface

  8. w

    Blank spots on the map : the dark geography of the Pentagon's secret world

    • workwithdata.com
    Updated Feb 15, 2014
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    Work With Data (2014). Blank spots on the map : the dark geography of the Pentagon's secret world [Dataset]. https://www.workwithdata.com/object/blank-spots-on-map-dark-geography-pentagon-secret-world-book-by-trevor-paglen-0000
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    Dataset updated
    Feb 15, 2014
    Dataset authored and provided by
    Work With Data
    License

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

    Description

    Blank spots on the map : the dark geography of the Pentagon's secret world is a book. It was written by Trevor Paglen and published by Dutton in 2009.

  9. f

    On The Map Marketing H1B cases

    • f1hire.com
    Updated Oct 1, 2024
    + more versions
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    FrogHire.ai (2024). On The Map Marketing H1B cases [Dataset]. https://www.f1hire.com/company/on-the-map-marketing
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    Dataset updated
    Oct 1, 2024
    Dataset provided by
    FrogHire.ai
    Description

    The H1B Sponsorship Trends linear chart shows the number of H1B cases filed by On The Map Marketing from 2020 to 2023, providing a clear view of filing trends over time. Alongside, the horizontal bar chart titled Distribution of Job Fields Receiving H1B Sponsorship breaks down which roles and industries are most commonly sponsored.

  10. Z

    Data from: Occupations on the map: Using a super learner algorithm to...

    • data.niaid.nih.gov
    • zenodo.org
    Updated Dec 8, 2022
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    Thijs de Lange (2022). Occupations on the map: Using a super learner algorithm to downscale labor statistics, data [Dataset]. https://data.niaid.nih.gov/resources?id=zenodo_6419272
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    Dataset updated
    Dec 8, 2022
    Dataset provided by
    Michiel van Dijk
    Philippe Debie
    Thijs de Lange
    Paul van Leeuwen
    License

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

    Description

    This repository contains all the input and output data (including maps) related to Van Dijk et al. (2022), Occupations on the map: Using a super learner algorithm to downscale labor statistics. It does not contain several large (> 4GB) intermediate files, which summarize the results of the large number of machine learning models that were trained and tuned as part of the super learner algorithm. These files can be created by running the scripts in the supplementary GitHub repository: https://github.com/michielvandijk/occupations_on_the_map. All input and output maps produced as part of this study can also be accessed by means of an interactive web application: https://shiny.wur.nl/occupation-map-vnm.

    In this paper, we demonstrated an approach to create fine-scale gridded occupation maps by means of downscaling district-level labor statistics informed by remote sensing and other spatial information. We applied a super-learner algorithm that combined the results of different machine learning models to predict the shares of six major occupation categories and the labor force participation rate at a resolution of 30 arc seconds (~1x1 km) in Vietnam. The results were subsequently combined with gridded information on the working-age population to produce maps of the number of workers per occupation. The proposed approach can also be applied to produce maps of other (labor) statistics, which are only available at aggregated levels.

  11. National Water and Climate Center Interactive Map

    • agdatacommons.nal.usda.gov
    bin
    Updated Nov 30, 2023
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    USDA National Water and Climate Center (2023). National Water and Climate Center Interactive Map [Dataset]. https://agdatacommons.nal.usda.gov/articles/dataset/National_Water_and_Climate_Center_Interactive_Map/24661389
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    binAvailable download formats
    Dataset updated
    Nov 30, 2023
    Dataset provided by
    United States Department of Agriculturehttp://usda.gov/
    Natural Resources Conservation Servicehttp://www.nrcs.usda.gov/
    Authors
    USDA National Water and Climate Center
    License

    U.S. Government Workshttps://www.usa.gov/government-works
    License information was derived automatically

    Description

    The NRCS National Water and Climate Center's Interactive Map displays both current and historic hydrometeorological data in an easy-to-use, visual interface. The information on the map comes from many sources. Natural Resources Conservation Service snowpack and precipitation data are derived from manually-collected snow courses and automated Snow Telemetry (SNOTEL) and Soil Climate Analysis Network (SCAN) stations. Other data sources include precipitation, streamflow, and reservoir data from the U.S. Bureau of Reclamation (BoR), the Applied Climate Information System (ACIS), the U.S. Geological Survey (USGS), and other hydrometeorological monitoring entities. The Interactive Map has two regions: the map display itself, and the map controls which determine both the display mode and the types of data and stations to show on the map: Display Modes; Map Components; Station Conditions Controls; Basin Conditions Controls; Station Inventory Controls. Resources in this dataset:Resource Title: Interactive Map home. File Name: Web Page, url: https://www.nrcs.usda.gov/wps/portal/wcc/home/quicklinks/predefinedMaps/ The Interactive Map provides spatial visualization of current and historic hydrometeorological data collected by the Natural Resources Conservation Service and other monitoring agencies. The map also provides station inventories based on sensor and geographic filters. This page has links to pre-defined maps organized by data type. After opening a map, users can zoom to area of interest, customize the map, and then bookmark the URL to save the settings.

  12. a

    Interactive GIS Mapping Tool – Fully Appropriated Stream Systems (FASS) in...

    • calepa-dtsc.opendata.arcgis.com
    • gis.data.ca.gov
    • +2more
    Updated Apr 4, 2021
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    California Water Boards (2021). Interactive GIS Mapping Tool – Fully Appropriated Stream Systems (FASS) in California [Dataset]. https://calepa-dtsc.opendata.arcgis.com/maps/6e9e2a7727ab46f8b76244cff111a4ee
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    Dataset updated
    Apr 4, 2021
    Dataset authored and provided by
    California Water Boards
    Area covered
    Description

    This mapping tool provides a representation of the general watershed boundaries for stream systems declared fully appropriated by the State Water Board. The boundaries were created by Division of Water Rights staff by delineating FASS critical reaches and consolidating HUC 12 sub-watersheds to form FASS Watershed boundaries. As such, the boundaries are in most cases conservative with respect to the associated stream system. However, users should check neighboring FASS Watersheds to ensure the stream system of interest is not restricted by other FASS listings. For more information regarding the Declaration of Fully Appropriated Stream Systems, visit the Division of Water Rights’ Fully Appropriated Streams webpage. How to Use the Interactive Mapping Tool: If it is your first time viewing the map, you will need to click the “OK” box on the splash screen and agree to the disclaimer before continuing. Navigate to your point of interest by either using the search bar or by zooming in on the map. You may enter a stream name, street address, or watershed ID in the search bar. Click on the map to identify the location of interest and one or more pop-up boxes may appear with information about the fully appropriated stream systems within the general watershed boundaries of the identified location. The information provided in the pop-up box may include: (a) stream name, (b) tributary, (c) season declared fully appropriated, (d) Board Decisions/Water Right Orders, and/or (e) court references/adjudications. You may toggle the FAS Streams reference layer on and off to find representative critical reaches associated with the FASS Watershed layer. Please note that this layer is for general reference purposes only and ultimately the critical reach listed in Appendix A of Water Rights Order 98-08 and Appendix A together with any associated footnotes controls. Note: A separate FAS Watershed boundary layer was created for the Bay-Delta Watershed. The Bay-Delta Watershed layer should be toggled on to check if the area of interest is fully appropriated under State Water Board Decision 1594.

  13. a

    CMMPO Culvert Locations Map

    • hub.arcgis.com
    • gis.data.mass.gov
    Updated Aug 1, 2021
    + more versions
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    CMRPC (2021). CMMPO Culvert Locations Map [Dataset]. https://hub.arcgis.com/maps/dec273a1a54b4f0c96871ec7a03434a5
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    Dataset updated
    Aug 1, 2021
    Dataset authored and provided by
    CMRPC
    Area covered
    Description

    AboutThis is a map displaying all North Atlantic Aquatic Connectivity Collaborative (NAACC) non-tidal culvert assessments in the Central Massachusetts Municipal Planning Organization (CMMPO) region. The culvert data was last updated in February, 2025. The culverts dataset is updated periodically from the NAACC Data Center, in which culvert assessment data is uploaded as it is collected. The culvert dataset was last updated on February 12, 2025. The map was last updated on March 17, 2025. Culvert DataThe dataset is updated periodically from the NAACC Data Center, in which culvert assessment data is uploaded as it is collected in the field. On the map, the layer displays the barrier condition of each culvert. These barriers and their symbology color include:Severe - RedSignificant - OrangeModerate - YellowMinor - BlueInsignificant - Light BlueNo Barrier - GreenNo Score/Missing Data - PinkNot Assessed - Dark GrayBy clicking the culverts (points) on the map, more data is available for each structure, like when it was assessed/last updated, it's crossing code, it's aquatic organism passage (AOP) score, and more. Data Source: North Atlantic Aquatic Connectivity Collaborative (NAACC)Download Culvert Data: NAACC Data CenterArcGIS Online Data Layer Source: Culverts in MassachusettsIcon source: https://www.flaticon.com/authors/itim2101

  14. e

    Area exposed to one or more hazards on the map of hazards produced in the...

    • data.europa.eu
    Updated Jul 29, 2019
    + more versions
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    (2019). Area exposed to one or more hazards on the map of hazards produced in the context of the development of the plan to prevent the risk of subsidence- collapse of cavities area of Châlons-en-Champagne. [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-jdd-6b0a9e20-b496-44de-938e-c6ae0d8fa10d
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    Dataset updated
    Jul 29, 2019
    Description

    The hazards causing the risk are contained in hazard documents which can be inserted in the presentation report or annexed to the PPRN cavities. These documents are used to map the different intensity levels of each hazard considered in the risk prevention plan. Each area exposed to one or more cavity hazards in this spatial dataset is linked with its GASPAR code: 51DDT20090008.

    Genealogy: The so-called synthetic hazards are developed from the superposition of all the hazards of the different risks of subsidence- collapse of underground cavities from the hazard data established by the BRGM. Each of the geographic areas of the PPRN cavities subjected to one or more hazards can be extracted by overlaying zone. Each exposed area, possibly recouped, is then described by a record in this resource.

  15. g

    Area exposed to one or more hazards on the map of hazards produced in the...

    • gimi9.com
    Updated Feb 5, 2022
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    (2022). Area exposed to one or more hazards on the map of hazards produced in the context of the preparation of the plan to prevent the risk of landslide of the coast of Ile-de-France sector Vallée de la Marne | gimi9.com [Dataset]. https://gimi9.com/dataset/eu_fr-120066022-jdd-e7c862b8-50ca-4c47-a6a7-ea8bda8a1d1f
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    Dataset updated
    Feb 5, 2022
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    France, Île-de-France
    Description

    The hazards causing the risk are contained in hazard documents that may be included in the presentation report or annexed to the PPRN GT. These documents are used to map the different intensity levels of each hazard considered in the risk prevention plan. Each area exposed to one or more hazards existing in this spatial dataset is linked with its GASPAR code: 51DDT20090002 and 51DDT20090004 Carried out by BRGM in 2005 and updated in 2012 and 2014.

  16. Cracow 1:100 000 topographic map

    • data.gov.au
    html, tiff
    Updated Jan 1, 1972
    + more versions
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    Commonwealth of Australia (Geoscience Australia) (1972). Cracow 1:100 000 topographic map [Dataset]. https://data.gov.au/dataset/ds-ga-a05f7892-e6cf-7506-e044-00144fdd4fa6
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    tiff, htmlAvailable download formats
    Dataset updated
    Jan 1, 1972
    Dataset provided by
    Geoscience Australiahttp://ga.gov.au/
    License

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

    Description

    At this scale 1cm on the map represents 1km on the ground. Each map covers a minimum area of 0.5 degrees longitude by 0.5 degrees latitude or about 54 kilometres by 54 kilometres. The contour …Show full descriptionAt this scale 1cm on the map represents 1km on the ground. Each map covers a minimum area of 0.5 degrees longitude by 0.5 degrees latitude or about 54 kilometres by 54 kilometres. The contour interval is 20 metres. Many maps are supplemented by hill shading. These maps contain natural and constructed features including road and rail infrastructure, vegetation, hydrography, contours, localities and some administrative boundaries. Product Specifications Coverage: Australia is covered by more than 3000 x 1:100 000 scale maps, of which 1600 have been published as printed maps. Unpublished maps are available as compilations. Currency: Ranges from 1961 to 2009. Average 1997. Coordinates: Geographical and either AMG or MGA coordinates. Datum: AGD66, GDA94; AHD Projection: Universal Transverse Mercator UTM. Medium: Printed maps: Paper, flat and folded copies. Compilations: Paper or film, flat copies only.

  17. e

    Dataset Direct Download Service (WFS): Area exposed to one or more hazards...

    • data.europa.eu
    unknown
    + more versions
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    Dataset Direct Download Service (WFS): Area exposed to one or more hazards on the map of hazards produced in the development of the Decazeville Basin Mine Risk Prevention Plan (MPRP) [Dataset]. https://data.europa.eu/data/datasets/fr-120066022-srv-6db28e65-090c-4ccd-b49c-7b629942daae
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    unknownAvailable download formats
    Description

    The hazards that give rise to the risk are contained in hazard documents which can be inserted in the presentation report or annexed to the PPRM. These documents are used to map the different intensity levels of each hazard considered in the risk prevention plan. Each area exposed to one or more mining hazards existing in this spatial dataset is linked with its GASPAR code.

  18. e

    Deciduous trees on the map of Turku and Kaarina

    • data.europa.eu
    unknown
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    Turku, Deciduous trees on the map of Turku and Kaarina [Dataset]. https://data.europa.eu/data/datasets/fadbd7d9-254b-4817-90d5-ac9c4e695d4a?locale=en
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    unknownAvailable download formats
    Dataset authored and provided by
    Turku
    Area covered
    Turku
    Description

    A detailed terrain map or base map (1:500-1:2000) forms a base material for construction, planning and building formation activities, municipal engineering plans, various private maps, guide maps and theme maps.

    Content: Base map items by target type. A deciduous tree or a group of such trees.

    Published levels:

    WFS interface:

    • GIS:Kanta_Lehtipuu

    OGC API:

    • Stalk deciduous wood

    Additional information:

  19. a

    LEHD 2015, Work: Education High School

    • geospark-mvrpc.opendata.arcgis.com
    Updated Dec 15, 2017
    + more versions
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    Miami Valley Regional Planning Commission (2017). LEHD 2015, Work: Education High School [Dataset]. https://geospark-mvrpc.opendata.arcgis.com/items/d4f4548a529840da8a53a176a7980a22
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    Dataset updated
    Dec 15, 2017
    Dataset authored and provided by
    Miami Valley Regional Planning Commission
    Area covered
    Description

    This raster analysis is based on 2015 LEHD data by workplace for all jobs. This raster layer is a point density analysis of the workplace density of workers with only a high school diploma. The cell size is set at 200 feet; the radius is set at ¾ mile.

    Learn more about the LEHD data at the Census' website.

    U.S. Census Bureau. (2017). LEHD Origin-Destination Employment Statistics (2015) [computer file]. Washington, DC: U.S. Census Bureau, Longitudinal-Employer Household Dynamics Program [distributor], at https://onthemap.ces.census.gov. LODES 7.3 [version]

  20. o

    Putting Attentional Control on the Map - Experiment 1

    • osf.io
    url
    Updated Feb 8, 2022
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    Jackson Colvett (2022). Putting Attentional Control on the Map - Experiment 1 [Dataset]. http://doi.org/10.17605/OSF.IO/R63AP
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    urlAvailable download formats
    Dataset updated
    Feb 8, 2022
    Dataset provided by
    Center For Open Science
    Authors
    Jackson Colvett
    Description

    An investigation into the role of meaningful information in the modulation of CSPC effects.

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Department of Commerce (2013). LED's OnTheMap Interactive Tool [Dataset]. https://data.wu.ac.at/schema/data_gov/ZDkwNTBiZmUtMTlkNy00NzlmLWEyYzMtOTFjNzZhNDIzMjc1
Organization logo

LED's OnTheMap Interactive Tool

Explore at:
htmlAvailable download formats
Dataset updated
Jun 6, 2013
Dataset provided by
United States Department of Commercehttp://www.commerce.gov/
License

U.S. Government Workshttps://www.usa.gov/government-works
License information was derived automatically

Area covered
79c2d646201675a04d8fe9a513032b89cb8b7a27
Description

The OnTheMap application provides detailed spatial distributions of workers' employment and residential locations and the relation between the two at the Census Block level. OnTheMap also provides characteristic detail on age, earnings, industry distributions, and local workforce indicators.

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