This is the organizing QGIS project file 'HistoricWaterpowerBritain', whose supporting files are under 'Files' in Data S1. This QGIS project supports Jonell, T.N., Jones, P., Lucas, A., Naylor, S., 2024, Limited waterpower contributed to rise of steam power in British ‘Cottonopolis’: Proceedings of the National Academy of Sciences Nexus, doi: 10.1093/pnasnexus/pgae251

The GEOL-QMAPS digital geological mapping solution comprises a QGIS field data entry template, designed as an open-source, collaborative tool with user-driven updates. It integrates with a custom QGIS plugin that facilitates the import of existing field data, fieldwork preparation, and field database management (available at https://github.com/swaxi/WAXI_QF). Although developed within the framework of stage 4 of the West African eXploration Initiative project (https://waxi4.org/), this template and plugin are not region-specific and can be adapted to any mapping guidelines. The downloadable archive includes: - a folder containing the customised QGIS mapping project template and related files for field data collection, - a .docx log file providing updates for the various releases of the QGIS template project, - a .txt file with a link to the UserGuide (https://github.com/swaxi/GEOL-QMAPS/blob/main/README.md).

The Hills of Governor's Island Dataset for QGIS
This archive contains a QGIS project and a geopackage with raster and vector data for the Hills region of Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263.

Data Sources

• https://orthos.dhses.ny.gov/
• https://data.cityofnewyork.us/

License
This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.

This collection comprises geospatial datasets used to create the Beaverdam Valley Neighborhood Association community map and the resulting map in pdf and jpeg formats. This scope of the map covers the borders of Buncombe County, North Carolina, the city limits of Asheville, NC, and the three registered neighborhoods of the Beaverdam Valley (Beaverdam Valley, Hills of Beaverdam, and Beaverdam Run). The geospatial data includes the following layers and associated files:

"AVL City Limits.geojson": City of Asheville GIS municipal boundary data

"AVL City Limits.qmd": QGIS metadata file for the above

"AVL Neighborhoods.geojson": City of Asheville GIS registered neighborhood data

"AVL Neighborhoods.qmd": QGIS metadata file for the above

"Buncombe_County_Parcels.geojson": Buncombe County GIS parcel data.

"Buncombe_County_Parcels.qmd": QGIS metadata file for the above

"BV Boundaries.geojson": Beaverdam Valley Neighborhood boundaries.

"BV Boundaries.qmd": QGIS metadata file for the above

"BV Parcel Intersection.geojson": Intersection of the Beverdam Valley Neighborhood boundaries with the Buncombe County Parcel data.

"BV Parcel Intersection.qmd": QGIS metadata file for the above

"BVNA_Map_2022_v2.pdf": BVNA CIP Community Map

"BVNA_Map_2022_v2_825.jpg": BVNA CIP Community Map

"City Limits.geojson": Buncombe county boundaries and city limits boundaries witin the county.

"QGIS BVNA CIP.zip": Zip file containing the above layers in a QGIS project folder and file.

About the Project: The Beaverdam Valley Neighborhood Association (BVNA) Community Informatics Project aims to gain deeper understanding of the Beaverdam Valley community and to work towards gathering and sharing information about the community and its history. This collection represents a deliverable produced under the 2022-2023 City of Asheville Neighborhood Matching Grant program.

This Qgis project brings together the four projects carried out for the drafting of the maps of the four invariants supporting the knowledge framework of the four invariants identified in the context of the revision of the landscape discipline of the Tuscany Region PIT. The original projects were designed according to the subsequent creation of as many raster-format cards. This project brings together and partially simplifies the original projects by eliminating duplication of data in common, etc. The data sets used in the project, in shape format, are not individually documented as they are functional to the creation of raster cards each of which is self-explicated by means of its own legend and specific metadata, to which, moreover, please refer to for further information (see Download Resources: http://bit.ly/1GBJkjL). It should be recalled that the results of any vector processing, in the gis environment, of the project data, should be used at the original scales of the raster maps derived from them (1:50,000 and 1:250,000).The project consists of the following layers: Union 50K — Sheets union of the Italian Charter of Italy 1:50,000 of the IGM on the basis of which the sheets of invariants I, II, III were distributed. Municipal domains — Municipal limits Landscape areas — Landscape limits identified by the Regional Landscape PlanInvariant I — Chart of morphogenetic systems — Cartography in scale 1:50,000, extended to the entire territory of the Tuscany Region, aimed at the representation of the morphogenetic characteristics of the Tuscan territory, i.e. the objectively recognizable elements of the physical structure of the landscape, defined by a combination of the factors that govern the development of the forms of relief such as structural, temporal and geological factors. Invariant II — Charter of the ecological network — Cartography in scale 1:50,000, extended to the entire territory of the region of Tuscany, aimed at highlighting the structural and functional elements of the regional ecological network. The map is designed to represent the level of ecological fragmentation on the regional scale, the source nuclei of biodiversity for both forest ecosystems, agricultural and pastoral ecosystems, the connecting matrix and critical elements for the functionality of the network. Invariant III — Map of the urbanised territory — Cartography in scale 1:50,000, extended to the entire territory of the Tuscany region. The association of attributes referring to the building period allows a series of elaborations aimed at the exclusive representation of the growth of the settlements or the representation of the building at a given temporal thresholdInvariante IV — Charter of rural morphotypes — Cartography in scale 1:250,000, extended to the entire territory of the Tuscany region. The purpose of the map is to provide a representation in the form of ranges of the types of rural landscape present in the region, understood as recognizable forms resulting from the crossroads of different factors such as geomorphological, settlement, naturalistic and cultural factors.

Please note: for a correct view and use of this dataset it is advisable to consult it at original page on the Arezzo Portal. At the same address there are also, for the enabled datasets, additional access formats, the preview of the visualization via API call, the consultation of the fields in DCAT-AP IT format, the possibility to express an evaluation and comment on the dataset itself. All resource formats available for this dataset can be downloaded as ZIP packages: inside the package sarà available the resource in the chosen format, complete with all the information on the metadata and the license associated with it. The resource is the logical container of the projects of the cartographic works of the start of the procedure of the variant to the Structural Plan and the new Operational Plan, realized through the desktop application QGIS.

The Digital Geomorphic-GIS Map of Gulf Islands National Seashore (5-meter accuracy and 1-foot resolution 2006-2007 mapping), Mississippi and Florida 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 (guis_geomorphology.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 (guis_geomorphology.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (guis_geomorphology.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 GIS readme file (guis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (guis_geomorphology.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 (guis_geomorphology_metadata_faq.pdf). Please read the guis_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: 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 (guis_geomorphology_metadata.txt or guis_geomorphology_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 1:26,000 and United States National Map Accuracy Standards features are within (horizontally) 13.2 meters or 43.3 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).

Basic Global Dataset for GRASS GIS
This archive contains a QGIS project and a geopackage with raster and vector data for Governor's Island, New York City, USA. The CRS is NAD83 / New York Long Island (ftUS) with the EPSG code 2263.

Data Sources

• https://orthos.dhses.ny.gov/
• https://data.cityofnewyork.us/

License
This dataset is licensed under the ODC Public Domain Dedication and License 1.0 (PDDL) by Brendan Harmon.

The Digital Geologic-GIS Map of Santa Rosa Island, California 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 (sris_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 (sris_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 (sris_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.) this file (chis_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (chis_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 (sris_geology_metadata_faq.pdf). Please read the chis_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: 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: American Association of Petroleum Geologists. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (sris_geology_metadata.txt or sris_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 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 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).

This file includes information about the metadata and structure of spatial data files in the QGIS 'HistoricWaterpowerBritain' project of Data S1 that supports Jonell, T.N., Jones, P., Lucas, A., Naylor, S., 2024, Limited waterpower contributed to rise of steam power in British ‘Cottonopolis’: Proceedings of the National Academy of Sciences Nexus, doi: 10.1093/pnasnexus/pgae251

🇮🇹 이탈리아

This dataset contains the the EXPLORE Machine Learning Data Challenge 2022 QGIS project. The project embed the following Archytas Dome layers: Raster Narrow Angle Camera (NAC) DEM derived from NAC Slope computer on DEM Vectorial POIs - Points Of Interest to be used in STEP 3 More information at: https://exploredatachallenges.space/ Images were processed from NASA PDS raw data using USGS ISIS and NASA ASP tools.

This .zip file contains pre-configured files for members of the public to interact with Kendall County's public GIS layers in a desktop environment. Included are:An ArcGIS Pro PackageA QGIS Project FIleArcGIS Pro requires an ESRI license to use. See the ArcGIS Pro product page for more information.QGIS is free, open-source software that is available for a variety of computing environments. See the QGIS Downloads page to select the appropriate installation method.With the appropriate software installed, users can simply open the corresponding file. It may take a minute or two to load, due to the number of layers that need to load. Once loaded, users will have read-only access to all of the major public layers, and can adjust how they are displayed. In a desktop environment, users can also create and interact with other data sources, such as private site plans, annotations, and other public data layers from non-County entities.Please note that the layers included in these packages are the same live data sources found in the web maps. An internet connection is required for these files to function properly.

Raczynski, K., Grala, K., & Cartwright, J. H. (2025). Enhancing Maps with Charts in QGIS. Mississippi State University: Geosystems Research Institute. [View Document]GEO Tutorial Number of Pages: 7 Publication Date: 02/2025 This work was supported through funding by the National Oceanic and Atmospheric Administration Regional Geospatial Modeling Grant, Award # NA19NOS4730207.

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

Dataset Qgis

## Overview

Dataset Qgis is a dataset for instance segmentation tasks - it contains Rice Field annotations for 401 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

This is the QGIS project that allows you to view the choropleth for conversion rates across Canadian Forward Sortation Areas. Created in 3.10.

The Digital Geologic-GIS Map of San Antonio Missions National Historical Park and Vicinity, Texas 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 (saan_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 (saan_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 (saan_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 GIS readme file (saan_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (saan_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 (saan_geology_metadata_faq.pdf). Please read the saan_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: 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: Texas Bureau of Economic Geology, University of Texas at Austin and Texas Water Development Board. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (saan_geology_metadata.txt or saan_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 1:250,000 and United States National Map Accuracy Standards features are within (horizontally) 127 meters or 416.7 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).

CAMS and Leigh Catchment Group (LCG office computer QGIS project files and Manifold layers) datasets representing on-ground works facilitated and/or conducted by LCG. This is part of the Leigh Catchment Group Projects layer group.

Contains the datasets and QGIS project file required for the creation of a Study Area Map of Burkina Faso, for Cartography M.Sc. thesis research.