15 datasets found
  1. a

    FY2017 Parcel Map Index

    • open-data-massgis.hub.arcgis.com
    • gis.data.mass.gov
    Updated Jun 22, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Cambridge (2020). FY2017 Parcel Map Index [Dataset]. https://open-data-massgis.hub.arcgis.com/datasets/CambridgeGIS::fy2017-parcel-map-index
    Explore at:
    Dataset updated
    Jun 22, 2020
    Dataset authored and provided by
    City of Cambridge
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number

    BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

    BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

    DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps

    DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps

    ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set

  2. m

    FY2014 Parcel Map Index

    • gis.data.mass.gov
    Updated Jun 22, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Cambridge (2020). FY2014 Parcel Map Index [Dataset]. https://gis.data.mass.gov/datasets/CambridgeGIS::fy2014-parcel-map-index
    Explore at:
    Dataset updated
    Jun 22, 2020
    Dataset authored and provided by
    City of Cambridge
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number

    BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

    BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

    DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps

    DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps

    ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set

  3. m

    FY2013 Parcel Map Index

    • gis.data.mass.gov
    Updated Jun 22, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    City of Cambridge (2020). FY2013 Parcel Map Index [Dataset]. https://gis.data.mass.gov/datasets/CambridgeGIS::fy2013-parcel-map-index
    Explore at:
    Dataset updated
    Jun 22, 2020
    Dataset authored and provided by
    City of Cambridge
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Area covered
    Description

    This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. This data is updated through January 1, 2012.Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number

    BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

    BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

    DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps

    DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps

    ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set

  4. 3D Viewer

    • noveladata.com
    • anla-esp-esri-co.hub.arcgis.com
    Updated Dec 9, 2020
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    esri_en (2020). 3D Viewer [Dataset]. https://www.noveladata.com/items/888910da7fdc4b11ac32825ad2d87816
    Explore at:
    Dataset updated
    Dec 9, 2020
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    esri_en
    Description

    Use the 3D Viewer template to showcase your scene with default 3D navigation tools, including zoom controls, pan, rotate, and compass. Include a locator map and bookmarks to provide context to your scene and guide app viewers to points of interest. Line of sight, measure, and slice tools allow viewers to interpret 3D data. Set the option to disable scrolling in the app to seamlessly embed this app in another app or site. Examples: Present a detailed 3D view of a mountainous region at a large scale while the 2D inset map provides context of where you are in the world. Display a 3D plan for new urban development that app viewers can explore with slice and measurement tools. Allow users to visualize the impact of shadows on a scene using daylight animation. Data requirements The 3D Viewer template requires a web scene. Key app capabilities 3D navigation and Compass tool - Allow app users to pan or rotate the scene and orient their view to north. Locator map - Display an inset map with the app's map area in the context of a broader area. Line of sight - Visualize whether one or multiple targets are visible from an observer point. Measurement tools - Provide tools that measure distance and area and find and convert coordinates. Slice - Excludes specific layers to change the view of a scene. Bookmarks - Provide a collection of preset extents that are saved in the scene to which users can navigate the map. Disable scroll - Prevent the map from zooming when app users scroll Language switcher - Provide translations for custom text and create a multilingual app. Home, Zoom controls, Legend, Layer List, Search Supportability This web app is designed responsively to be used in browsers on desktops, mobile phones, and tablets. We are committed to ongoing efforts towards making our apps as accessible as possible. Please feel free to leave a comment on how we can improve the accessibility of our apps for those who use assistive technologies.

  5. p

    Calendar 2024 of the Greater Region: wine and viticulture

    • data.public.lu
    • geocatalogue.geoportail.lu
    Updated Sep 7, 2024
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2024). Calendar 2024 of the Greater Region: wine and viticulture [Dataset]. https://data.public.lu/en/datasets/calendar-2024-of-the-greater-region-wine-and-viticulture/
    Explore at:
    zip(2752), application/geo+json(7286), application/geopackage+sqlite3(90112)Available download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    Calendar 2024 of the Greater Region: wine and viticulture Data: Working party Land registry and mapping of the Summit of the Greater Region: Harmonization: GIS-GR 2023 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2384&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/30d3eb87-e5a6-48cd-8ba1-a93584d46957 This dataset is published in the view service (WMS) available at: http://ws.geoportail.lu/wss/service/GR_Agriculture_WMS/guest?service=WMS&request=GetCapabilities with layer name(s): -Wine_viticulture_calendar_2024

  6. p

    Presence of the Lady's-slipper orchid (Cypripedium calceolus)

    • data.public.lu
    • data.europa.eu
    Updated Jan 9, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). Presence of the Lady's-slipper orchid (Cypripedium calceolus) [Dataset]. https://data.public.lu/en/datasets/presence-of-the-ladys-slipper-orchid-cypripedium-calceolus/
    Explore at:
    application/geopackage+sqlite3(98304), zip(2083), application/geo+json(12099)Available download formats
    Dataset updated
    Jan 9, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    Presence of the Lady's-slipper orchid (Cypripedium calceolus) Illustration as grid cells 10x10km Data sources: MNHN Luxemburg, MNHN France, Ministerium für Umwelt und Verbraucherschutz Saarland, Landesamt für Umwelt (LfU) Rheinland-Pfalz, SPW/ARNE/DEMNA, Natagora and collaborators Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2297&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/413a2ebd-e5f6-4a3b-824b-1c66fec40c4e This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Natudata_plants_WMS/guest with layer name(s): -Cypripedium_calceolus

  7. p

    Presence of the Northern crested newt (Triturus cristatus)

    • data.public.lu
    Updated Jan 9, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). Presence of the Northern crested newt (Triturus cristatus) [Dataset]. https://data.public.lu/en/datasets/presence-of-the-northern-crested-newt-triturus-cristatus/
    Explore at:
    application/geopackage+sqlite3(229376), application/geo+json(264765), zip(16363)Available download formats
    Dataset updated
    Jan 9, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    Presence of the Northern crested newt (Triturus cristatus) Illustration as grid cells 10x10km Data sources: MNHN Luxemburg, MNHN France, Ministerium für Umwelt und Verbraucherschutz Saarland, Landesamt für Umwelt (LfU) Rheinland-Pfalz, SPW/ARNE/DEMNA, Natagora and collaborators Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2284&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/1a3d8bbe-a23c-4a1b-943f-6b6672538436 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Natudata_amphibians_WMS/guest with layer name(s): -Triturus_cristatus

  8. p

    Commuters from DG Belgium to Luxembourg 2013-2023

    • data.public.lu
    • geocatalogue.geoportail.lu
    Updated Jan 16, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). Commuters from DG Belgium to Luxembourg 2013-2023 [Dataset]. https://data.public.lu/en/datasets/commuters-from-dg-belgium-to-luxembourg-2013-2023/
    Explore at:
    application/geopackage+sqlite3(217088)Available download formats
    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Area covered
    Luxembourg, Belgium
    Description

    Cross-border commuters from the German-speaking community of Belgium to Luxembourg at place of residence (municipalities): 2013-2023 Territorial entities: municipalities - Commuting data sources: IGSS. Calculations: OIE/IBA 2024 Geodata sources: NGI-Belgium. Harmonization: SIG-GR / GIS-GR 2024 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2410&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/1bf50602-fadc-473a-be64-d1382554e3df This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Commuter_flows_to_Luxembourg_WMS/guest with layer name(s): -Commuters_DG_LUX_2013_2023_change -Commuters_DG_LUX_2013_2023_share

  9. p

    Cross-border spatial planning documents in the Greater Region and the Upper...

    • data.public.lu
    • geocatalogue.geoportail.lu
    Updated Jan 16, 2025
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). Cross-border spatial planning documents in the Greater Region and the Upper Rhine 2024 [Dataset]. https://data.public.lu/en/datasets/cross-border-spatial-planning-documents-in-the-greater-region-and-the-upper-rhine-2024/
    Explore at:
    application/geopackage+sqlite3(1830912)Available download formats
    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Area covered
    Upper Rhine
    Description

    Cross-border spatial planning documents in the Greater Region and the Upper Rhine 2024 Sources: EOM, Eurodistrict SaarMoselle, GECT Alzette Belval, GeoRhena, GT Aménagement Rhin supérieur - AG Raumordnung Oberrhein, MLOGAT-DATer Luxembourg 2024. Harmonization: GIS-GR 2024 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2389&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/4ec1dfc5-83a6-4059-86e2-a43b36d0d60f This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Spatial_planning_WMS/guest with layer name(s): -Cross_border_strategies_2024 -Common_border_GR_UR -Cross_border_strategies_2024_outlines -Intersect_SDTGR_Projet_territoire_RS_2024 -Limites_nationales_GR_line_disso -Limites_nationales_RS_line_disso -Perimeter_GR_UR

  10. p

    Subregional spatial planning documents in the Greater Region and the Upper...

    • data.public.lu
    • geocatalogue.geoportail.lu
    Updated Sep 7, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2024). Subregional spatial planning documents in the Greater Region and the Upper Rhine 2024 [Dataset]. https://data.public.lu/en/datasets/subregional-spatial-planning-documents-in-the-greater-region-and-the-upper-rhine-2024/
    Explore at:
    application/geopackage+sqlite3(552960)Available download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Area covered
    Upper Rhine
    Description

    Subregional spatial planning documents in the Greater Region and the Upper Rhine 2024 Sources: GeoRhena, MDI Rheinland-Pfalz, MIBS Saarland, Ministerium der Deutschsprachigen Gemeinschaft, MLOGAT-DATer Luxembourg, Région Grand Est, Service public de Wallonie, Verband Rhein-Neckar 2024. Harmonization: GIS-GR 2024 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2388&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/26d0b355-184e-4dc6-8984-8094215e8dac This dataset is published in the view service (WMS) available at: https://wms.gis-gr.eu/service with layer name(s): -GR/Subregional_planning_documents_Greater_Region_Upper_Rhine_2024/Common_border_GR_UR -GR/Subregional_planning_documents_Greater_Region_Upper_Rhine_2024/Perimeter_GR_UR -GR/Subregional_planning_documents_Greater_Region_Upper_Rhine_2024/Subregional_strategies_2024

  11. f

    Underlying dimensions of landscape value assessment using principal axis...

    • figshare.com
    xls
    Updated Jun 10, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Tuan Anh Pham; Tam Minh Pham; Giang Thi Huong Dang; Doi Trong Nguyen; Quan Vu Viet Du (2023). Underlying dimensions of landscape value assessment using principal axis factoring extraction method and Promax Rotation with Kaiser Normalization (KMO = 0.855, the significance level of Bartlett’s Test of Sphericity is 0.000, total variance explained is 53.725%). [Dataset]. http://doi.org/10.1371/journal.pone.0253908.t004
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tuan Anh Pham; Tam Minh Pham; Giang Thi Huong Dang; Doi Trong Nguyen; Quan Vu Viet Du
    License

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

    Description

    Underlying dimensions of landscape value assessment using principal axis factoring extraction method and Promax Rotation with Kaiser Normalization (KMO = 0.855, the significance level of Bartlett’s Test of Sphericity is 0.000, total variance explained is 53.725%).

  12. a

    Parcels Public Shapefile

    • gis-sonomacounty.hub.arcgis.com
    • gis.sonomacounty.ca.gov
    Updated Mar 11, 2020
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    The County of Sonoma (2020). Parcels Public Shapefile [Dataset]. https://gis-sonomacounty.hub.arcgis.com/datasets/sonomacounty::parcels-public-shapefile/about
    Explore at:
    Dataset updated
    Mar 11, 2020
    Dataset authored and provided by
    The County of Sonoma
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Area covered
    Description

    The seamless, county-wide parcel layer was digitized from official Assessor Parcel (AP) Maps which were originally maintained on mylar sheets and/or maintained as individual Computer Aided Design (CAD) drawing files (e.g., DWG). The CRA office continues to maintain the official AP Maps in CAD drawings and Information Systems Department/Geographic Information Systems (ISD/GIS) staff apply updates from these maps to the seamless parcel base in the County’s Enterprise GIS. This layer is a partial view of the Information Sales System (ISS) extract, a report of property characteristics taken from the County’s Megabyte Property Tax System (MPTS). This layer may be missing some attributes (e.g., Owner Name) which may not be published to the Internet due to privacy conditions under the California Public Records Act (CPRA). Please contact the Clerk-Recorder-Assessor (CRA) office at (707) 565-1888 for information on availability, associated fees, and access to other versions of Sonoma County parcels containing additional property characteristics.The seamless parcel layer is updated and published to the Internet on a monthly basis.The seamless parcel layer was developed from the source data using the general methodology outlined below. The mylar sheets were scanned and saved to standard image file format (e.g., TIFF). The individual scanned maps or CAD drawing files were imported into GIS software and geo-referenced to their corresponding real-world locations using high resolution orthophotography as control. The standard approach was to rescale and rotate the scanned drawing (or CAD file) to match the general location on the orthophotograph. Then, appropriate control points were selected to register and rectify features on the scanned map (or CAD drawing file) to the orthophotography. In the process, features in the scanned map (or CAD drawing file) were transformed to real-world coordinates, and line features were created using “heads-up digitizing” and stored in new GIS feature classes. Recommended industry best practices were followed to minimize root mean square (RMS) error in the transformation of the data, and to ensure the integrity of the overall pattern of each AP map relative to neighboring pages. Where available Coordinate Geometry (COGO) & survey data, tied to global positioning systems (GPS) coordinates, were also referenced and input to improve the fit and absolute location of each page. The vector lines were then assembled into a polygon features, with each polygon being assigned a unique identifier, the Assessor Parcel Number (APN). The APN field in the parcel table was joined to the corresponding APN field in the assessor property characteristics table extracted from the MPTS database to create the final parcel layer. The result is a seamless parcel land base, each parcel polygon coded with a unique APN, assembled from approximately 6,000 individual map page of varying scale and accuracy, but ensuring the correct topology of each feature within the whole (i.e., no gaps or overlaps). The accuracy and quality of the parcels varies depending on the source. See the fields RANK and DESCRIPTION fields below for information on the fit assessment for each source page. These data should be used only for general reference and planning purposes. It is important to note that while these data were generated from authoritative public records, and checked for quality assurance, they do not provide survey-quality spatial accuracy and should NOT be used to interpret the true location of individual property boundary lines. Please contact the Sonoma County CRA and/or a licensed land surveyor before making a business decision that involves official boundary descriptions.

  13. p

    Green star Michelin restaurants in 2024

    • data.public.lu
    • data.europa.eu
    Updated Sep 7, 2024
    + more versions
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2024). Green star Michelin restaurants in 2024 [Dataset]. https://data.public.lu/en/datasets/green-star-michelin-restaurants-in-2024/
    Explore at:
    application/geo+json(2991), zip(1922), application/geopackage+sqlite3(90112)Available download formats
    Dataset updated
    Sep 7, 2024
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    Green stars restaurants of the Guide Michelin 2024 Source: Guide Michelin 2024 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2391&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/f3a5fdbd-4be7-49f1-80b7-417939baa504 This dataset is published in the view service (WMS) available at: http://ws.geoportail.lu/wss/service/GR_Culture_tourism_WMS/guest with layer name(s): -Michelin_green_star_restaurants_2024

  14. p

    Presence of the Eurasian Beaver (Castor fiber)

    • data.public.lu
    • geocatalogue.geoportail.lu
    • +1more
    Updated Jan 15, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). Presence of the Eurasian Beaver (Castor fiber) [Dataset]. https://data.public.lu/en/datasets/6787173c7d02c7160106c5f1/
    Explore at:
    zip(15647), application/geo+json(268397), application/geopackage+sqlite3(233472)Available download formats
    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Description

    Presence of the Eurasian Beaver (Castor fiber) Illustration as grid cells 10x10km Data sources: MNHN Luxemburg, MNHN France, Ministerium für Umwelt und Verbraucherschutz Saarland, Landesamt für Umwelt (LfU) Rheinland-Pfalz, SPW/ARNE/DEMNA, Natagora and collaborators Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2335&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/787c95d7-c458-417c-aae2-72d10ac43d80 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Natudata_mammals_WMS/guest with layer name(s): -Castor_fiber

  15. p

    Commuters from Wallonia to Luxembourg 2013-2023

    • data.public.lu
    • geocatalogue.geoportail.lu
    Updated Jan 16, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire (2025). Commuters from Wallonia to Luxembourg 2013-2023 [Dataset]. https://data.public.lu/en/datasets/commuters-from-wallonia-to-luxembourg-2013-2023/
    Explore at:
    application/geopackage+sqlite3(724992)Available download formats
    Dataset updated
    Jan 16, 2025
    Dataset authored and provided by
    SIG-GR @ Ministère du Logement et de l'Aménagement du territoire - Département de l’aménagement du territoire
    License

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

    Area covered
    Wallonia, Luxembourg
    Description

    Cross-border commuters from Wallonia to Luxembourg at place of residence (Arrondissements): 2013-2023 Territorial entities: Arrondissements Commuting data sources: INAMI. Calculations: OIE/IBA 2024 Geodata sources: NGI-Belgium. Harmonization: SIG-GR / GIS-GR 2024 Link to interactive map: https://map.gis-gr.eu/theme/main?version=3&zoom=8&X=708580&Y=6429642&lang=fr&rotation=0&layers=2409&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/a852c7c4-8c13-4b77-8708-3ff0e4946e05 This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Commuter_flows_to_Luxembourg_WMS/guest with layer name(s): -Commuters_WAL_LUX_2013_2023_change -Commuters_WAL_LUX_2013_2023_share

  16. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
City of Cambridge (2020). FY2017 Parcel Map Index [Dataset]. https://open-data-massgis.hub.arcgis.com/datasets/CambridgeGIS::fy2017-parcel-map-index

FY2017 Parcel Map Index

Explore at:
Dataset updated
Jun 22, 2020
Dataset authored and provided by
City of Cambridge
License

ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
License information was derived automatically

Area covered
Description

This layer contains polygons that split the City of Cambridge into 286 city blocks. Each block boundary is associated with an Assessors map, and a group of parcels. Each individual parcel has a map and lot associated to it. The 'map' refers to one of these blocks, the 'lot' is the tax parcel within the block. Explore all our data on the Cambridge GIS Data Dictionary.Attributes NameType DetailsDescription PCIX_NO type: Stringwidth: 6precision: 0 Block number

BSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

BSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for 11 x 17 maps

DSIZE_MAP_SCALE type: Integerwidth: 4precision: 10 Scaling for D size maps

DSIZE_INCH_TO_FOOT type: Integerwidth: 4precision: 10 Scaling for D size maps

ROTATION type: Doublewidth: 8precision: 38 Rotation angle for 11" x 17" map set

Search
Clear search
Close search
Google apps
Main menu