GIS files for France Lab 2. Visit https://dataone.org/datasets/sha256%3A7089d369036e270aa90d5d56ffffeb57b219c493308475a546751bcbcab9a8b0 for complete metadata about this dataset.

OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for French Polynesia in a GIS-friendly format.

The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.

The goal is to increase awareness among Pacific GIS users of the richness of OpenStreetMap data in Pacific countries, as well as the gaps, so that they can take advantage of this free resource, become interested in contributing to OSM, and perhaps join the global OSM community.

OpenStreetMap data is open data, with a very permissive licence. You can download it and use it for any purpose you like, as long as you credit OpenStreetMap and its contributors. You don't have to pay anyone, or ask anyone's permission. When you download and use the data, you're granted permission to do that under the Open Database Licence (ODbL). The only conditions are that you Attribute, Share-Alike, and Keep open.

The required credit is “© OpenStreetMap contributors”. If you make a map, you should display this credit somewhere. If you provide the data to someone else, you should make sure the license accompanies the data

GIS files for France Lab 1. Visit https://dataone.org/datasets/sha256%3A29379cee36392a1b3657c783517884aa8584d19f2993affb7ccb43f2ec527aef for complete metadata about this dataset.

This dataset meets the specifications of the scheme “Part of low-emission vehicles in fleet renewal” available on schema.data.gouv.fr

La base de données TRF-GIS correspond à un système d'information géographique de la France de la Troisième République. Elle met à disposition nomenclatures et shapefiles annuels correspondant aux circonscriptions administratives de France métropolitaine de 1870 à 1940. Elle décrit les circonscriptions administratives générales (départements, arrondissements, cantons) ainsi que les circonscriptions militaires, judiciaires, pénitentiaires, électorales, académiques, ecclésiastiques, et les inspections du travail. Elle met aussi à disposition des nomenclatures annuelles établissant une correspondance entre chaque commune contemporaine et les circonscriptions auxquelles elle appartenait. Pour plus de détails sur le contenu et la construction de la base de données TRF-GIS, se référer au data paper suivant : Gay, Victor. 2021. "Mapping the Third Republic. A Geographic Information System of France (1870–1940)." Historical Methods: A Journal of Quantitative and Interdisciplinary History, 54(4), 189–207. Celui-ci est aussi disponible en Open Access sur HAL à l'adresse suivante : https://hal.archives-ouvertes.fr/hal-02951461. L'ensemble du matériel de reproduction de la base de données TRF-GIS est disponible à l'adresse suivante : https://doi.org/10.7910/DVN/6FCK3W. "TRF-GIS" signifie "Third-Republic France Geographic Information System." Accès L'ensemble des jeux de données ainsi que le matériel de reproduction listés plus bas sont librement téléchargeables sur le Harvard Dataverse sous licence Attribution 4.0 International (CC BY 4.0). Aucune inscription n'est nécessaire. Modèle de citation Gay, Victor. 2021. Mapping the Third Republic. A Geographic Information System of France (1870–1940). Historical Methods: A Journal of Quantitative and Interdisciplinary History, 54(4), 189–207. https://doi.org/10.1080/01615440.2021.1937421. Circonscriptions administratives générales Départements Arrondissements Cantons Communes (nomenclatures) Circonscriptions administratives spéciales Circonscriptions militaires Corps militaires (1870–1873) Divisions militaires (1870–1873) Régions militaires (1874–1940) Subdivisions de régions militaires (1874–1940) Circonscriptions judiciaires Cours d'appel Cours de première instance Circonscriptions pénitentiaires Circonscriptions électorales Circonscriptions Circonscriptions académiques Académies Circonscriptions du travail Inspections du travail (1892–1940) Circonscriptions ecclésiastiques Diocèses

The Digital Geologic-GIS Map of the French Quarter Visitor Center and Barataria Preserve Unit, Jean Lafitte National Historical Park and Preserve, Louisiana is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (jela_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (jela_geology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (jela_geology.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (jela_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (jela_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (jela_geology_metadata_faq.pdf). Please read the jela_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: Louisiana Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (jela_geology_metadata.txt or jela_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:100,000 and United States National Map Accuracy Standards features are within (horizontally) 50.8 meters or 166.7 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Digital Geologic-GIS Map of the French Gulch 15' Quadrangle, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) an ESRI file geodatabase (freg_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro 3.X map file (.mapx) file (freg_geology.mapx) and individual Pro 3.X layer (.lyrx) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) a readme file (whis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (whis_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (freg_geology_metadata_faq.pdf). Please read the whis_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri.htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: U.S. Geological Survey. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (freg_geology_metadata.txt or freg_geology_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:62,500 and United States National Map Accuracy Standards features are within (horizontally) 31.8 meters or 104.2 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google Earth, ArcGIS Pro, QGIS or other software used to display this dataset. All GIS and ancillary tables were produced as per the NPS GRI Geology-GIS Geodatabase Data Model v. 2.3. (available at: https://www.nps.gov/articles/gri-geodatabase-model.htm).

The Millennium Coral Reef Mapping Project provides thematic maps of coral reefs worldwide at geomorphological scale. Maps were created by photo-interpretation of Landsat 7 and Landsat 8 satellite images. Maps are provided as standard Shapefiles usable in GIS software. The geomorphological classification scheme is hierarchical and includes 5 levels. The GIS products include for each polygon a number of attributes. The 5 level geomorphological attributes are provided (numerical codes or text). The Level 1 corresponds to the differentiation between oceanic and continental reefs. Then from Levels 2 to 5, the higher the level, the more detailed the thematic classification is. Other binary attributes specify for each polygon if it belongs to terrestrial area (LAND attribute), and sedimentary or hard-bottom reef areas (REEF attribute). Examples and more details on the attributes are provided in the references cited. The products distributed here were created by IRD, in their last version. Shapefiles for 102 atolls of France (in the Pacific and Indian Oceans) as mapped by the Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). The data set provides one zip file per region of interest. Global coral reef mapping project at geomorphological scale using LANDSAT satellite data (L7 and L8). Funded by National Aeronautics and Space Administration, NASA grants NAG5-10908 (University of South Florida, PIs: Franck Muller-Karger and Serge Andréfouët) and CARBON-0000-0257 (NASA, PI: Julie Robinson) from 2001 to 2007. Funded by IRD since 2003 (in kind, PI: Serge Andréfouët).

This dataset provides annual nomenclatures and shapefiles of labor inspections of metropolitan France from 1892 to 1940. It is part of the TRF-GIS Dataverse.

Unlock precise, high-quality GIS data covering 164M+ verified locations across 220+ countries. With 50+ enriched attributes including coordinates, building structures, and spatial geometry our dataset provides the granularity and accuracy needed for in-depth spatial analysis. Powered by AI-driven enrichment and deduplication, and backed by 30+ years of expertise, our GIS solutions support industries ranging from mapping and navigation to urban planning and market analysis, helping businesses and organizations make smarter, data-driven decisions.

Key use cases of GIS Data helping our customers :

1. Optimize Mapping & Spatial Analysis : Use GIS data to analyse landscapes, urban infrastructure, and competitor locations, ensuring data-driven planning and decision-making.
2. Enhance Navigation & Location-Based Services : Improve real-time route planning, asset tracking, and EV charging station discovery for seamless location-based experiences.
3. Identify Strategic Sites for Business Expansion : Leverage GIS intelligence to select optimal retail sites, franchise locations, and warehouses with precision.
4. Improve Logistics & Address Accuracy : Streamline delivery networks, validate addresses, and optimize courier routes to boost efficiency and customer satisfaction.
5. Support Environmental & Urban Development Initiatives : Utilize GIS insights for disaster preparedness, sustainable city planning, and land-use management.

This dataset provides the material to reproduce all TRF-GIS data files. It contains source data, reproduction codes, and primary archival sources. It is part of the TRF-GIS Dataverse.

This dataset provides annual nomenclatures and shapefiles of military subdivisions of metropolitan France from 1874 to 1940. It is part of the TRF-GIS Dataverse.

The Carte de France was published by four generations of the Cassini family from 1750 to 1815. It consists of 182 sheets at the same scale, allowing the sheets to be joined together to form a physical map of about 39 feet high by 38 feet wide. It is rich both in historical cultural information and exquisite graphic art. The map was the first national survey completed systematically, relying on the latest science of its time.

This dataset provides annual nomenclatures and shapefiles of electoral constituencies (circonscriptions) of metropolitan France from 1870 to 1940. It is part of the TRF-GIS Dataverse.

This dataset provides annual nomenclatures and shapefiles of courts of appeal of metropolitan France from 1870 to 1940. It is part of the TRF-GIS Dataverse.

This dataset provides annual nomenclatures and shapefiles of penitentiary constituencies of metropolitan France from 1870 to 1940. It is part of the TRF-GIS Dataverse.

The dataset is produced from IGN’s Admin-Express. These are the common layers by replacing the municipalities with boroughs with their boroughs and by redesigning in WGS84), in order to have a single layer for the metropolis as well as the DOMs. This data set is intended to serve as a repository for some of the Authority’s projects.

Cross-border commuters from Wallonia to France at place of residence (provinces): 2013-2023 Territorial entities: provinces 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=2414&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/dbc03ad4-a5b2-4aa8-a926-b39a5cd906e3 This dataset is published in the view service (WMS) available at:https://ws.geoportail.lu/wss/service/GR_Commuters_between_Wallonia_and_France_WMS/guest with layer name(s): -Commuters_WAL_to_FR_2013-2023_change -Commuters_WAL_to_FR_2023_share

Cross-border commuters from France to Saarland at place of work (Kreise): 2013-2023 Territorial entities: Landkreise - Commuting data sources: Bundesagentur für Arbeit. Calculations: OIE/IBA 2024 Geodata sources: GeoBasis-DE / BKG. 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=2413&opacities=1&bgLayer=basemap_2015_global Link to Geocatalog: https://geocatalogue.gis-gr.eu/geonetwork/srv/eng/catalog.search#/metadata/5a66182a-bb83-4e10-8fa9-834d533de02f This dataset is published in the view service (WMS) available at: https://ws.geoportail.lu/wss/service/GR_Commuter_flows_France_to_Germany_WMS/guest with layer name(s): -Commuters_FR_SL_2013-2023_change -Commuters_FR_SL_2023_share

The ZIP file consist of GIS files with information about the excavations, findings and other metadata about the archaeological survey.