This is the study area associated with the project: “Status and Trends of Deciduous Communities in the Bighorn Mountains”. The aim of the study is to assess the current trends of deciduous communities in the Bighorn National Forest in north-central Wyoming. The data here represents phase I of the project, completed in FY2017. The USGS created a synthesis map of coniferous and deciduous communities in the Bighorn Mountains of Wyoming using a species distribution modeling approach developed in the Wyoming Landscape Conservation Initiative (WLCI) (Assal et al. 2015). The modeling framework utilized a number of topographic covariates and temporal remote sensing data from the early, mid and late growing season to capitalize on phenological differences in vegetation types. We used the program RandomForest in the R statistical program to generate probability of occurrence models for deciduous and coniferous vegetation. The binary maps were combined into a synthesis map using the procedure from Assal et al. 2015. In Phase II of this project (to be completed in FY2018 and 2019), the USGS will conduct a preliminary assessment on the baseline condition of riparian deciduous communities. This will be a proof-of-concept study where the USGS will apply a framework used in prior research in upland aspen and sagebrush communities to detect trends in riparian vegetation condition from the mid-1980s to present. Literature Cited Assal et al. 2015: https://doi.org/10.1080/2150704X.2015.1072289

H.J. Andrews Studies Map is a compilation of study site locations and GIS base layers (e.g. administrative boundaries, roads, streams, etc.). This was updated in 2019 during the transition to the ArcGIS Online and Enterprise platforms.

The number of dataset files divided into the original published studies (original) and expert-modified distributions (expert) with two overall time periods.

Planning for the future of these unincorporated areas need to be coordinated by the City and County. In some cases, part or all of these areas may eventually be annexed by the city. This data is primarily used for cartographic purposes. Contact GIS at: sacgis@cityofsacramento.org

Mineral Land Classification studies are produced by the State Geologist as specified by the Surface Mining and Reclamation Act (SMARA, PRC 2710 et seq.) of 1975. To address mineral resource conservation, SMARA mandated a two-phase process called classification-designation. Classification is carried out by the State Geologist and designation is a function of the State Mining and Geology Board. The classification studies contained here evaluate the mineral resources and present this information in the form of Mineral Resource Zones. The objective of the classification-designation process is to ensure, through appropriate local lead agency policies and procedures, that mineral materials will be available when needed and do not become inaccessible as a result of inadequate information during the land-use decision-making process.

Maps are a natural and popular choice for scientists and natural resource managers to share ecological and other scientific data with others. This field lesson teaches students about river management plans and hydrosocial relationships using a field mapping method for collecting social, cultural, and relational information. Using mapping prompts, an instructor-supplied base map of the watershed, clear transparency film, and permanent markers, students are asked to team up in groups of 4-6 to collect observational data that captures different stakeholders’ knowledge, values, interests, and relationships to a river at multiple, discrete sites. Collected data can be compared in the field to identify immediately how different river uses and cultural values are spatially distributed throughout a watershed, or digitized later for additional analysis in the classroom. Although this field lesson was designed to support deliberative conversation and learning about watershed and river policies, this lesson could be used to complement other on-river lessons that collect physical and other environmental data.

This case study document provides information on how Google Maps is using our open datasets and articulates citizen benefits.

Recommendations for the suitable contents of the geospatial datasets presenting the distribution of languages including the benefits of each, and our solutions (selected in the case study) concerning the Uralic languages.

<<< This dataset is not released yet. Release date: 1st September, 2025. >>>

The Cartographic Sign Detection Dataset (CaSiDD) comprises 796 manually annotated historical map samples, corresponding to 18,750 cartographic signs, like icons and symbols. Moreover, the signs are categorized into 24 distinct classes, like tree, mill, hill, religious edifice, or grave. The original images are part of the Semap dataset [1].

The dataset is published in the context of R. Petitpierre's PhD thesis: Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration [2]. Details on annotation, and statistics on annotated cartographic signs are provided in the manuscript.

Organization of the data

To come soon.

Descriptive statistics

Number of distinct classes: 24 + hapaxes
Number of image samples: 796
Number of annotations: 18,750
Study period: 1492–1948.

Use and Citation

For any mention of this dataset, please cite :

@misc{casidd_petitpierre_2025,
author = {Petitpierre, R{\'{e}}mi and Jiang, Jiaming},
title = {{Cartographic Sign Detection Dataset (CaSiDD)}},
year = {2025},
publisher = {EPFL},
url = {https://doi.org/10.5281/zenodo.16278381}}

@phdthesis{studying_maps_petitpierre_2025,
author = {Petitpierre, R{\'{e}}mi},
title = {{Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration}},
year = {2025},
school = {EPFL}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

Work ethics

85% of the data were annotated by RP. The remainder was annotated by JJ, a master's student from EPFL, Switzerland.

License

This project is licensed under the CC BY 4.0 License.

Liability

We do not assume any liability for the use of this dataset.

References

1. Petitpierre R, Gomez Donoso D, Krisel B (2025) Semantic Segmentation Map Dataset (Semap). EPFL. https://doi.org/10.5281/zenodo.16164782
2. Petitpierre R (2025) Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration. PhD thesis. École Polytechnique Fédérale de Lausanne.

Dataset based on maps presented in the "Annales" and "Past & Present" journals, between 1950 and 2000, focusing on motion maps.The data are a set of organized maps but does not include the maps themselves (only data on the maps), which are in two different repositories: www.jstor.org and persee.fr. Every map registered in the table indicates a URL where the original map is available freely, at persee.fr, and by request at jstor.org.

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.

<<< This dataset is not released yet. Release date: 1st September, 2025. >>>

The Aggregated Database on the History of Cartography (ADHOC) is a large, composite corpus for the study of historical maps. Specifically, it is composed of two distinct datasets: ADHOC Records and ADHOC Images. ADHOC Records comprises 771,561 map records compiled from the digital catalogs of 38 digital libraries in 11 countries. ADHOC Images, by contrast, contains 83,481 map records and includes 99,715 direct download links to digitized map images hosted in digital libraries.

Both datasets are part of R. Petitpierre's PhD thesis: Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration [1]. Extensive details on collection and data statistics are provided in the context of that work.

Organization of the data

To come soon.

Descriptive statistics

Number of map records: 771,561 + 83,481
Number of map images: 99,715
Collection countries covered: 11
Study period: 1492–1948

Use and Citation

For any mention of this dataset, please cite :

@misc{adhoc_petitpierre_2025,
author = {Petitpierre, R{\'{e}}mi},
title = {{Aggregated Database on the History of Cartography (ADHOC)}},
year = {2025},
publisher = {EPFL},
url = {https://doi.org/10.5281/zenodo.16277853}}

@phdthesis{studying_maps_petitpierre_2025,
author = {Petitpierre, R{\'{e}}mi},
title = {{Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration}},
year = {2025},
school = {EPFL}}

Corresponding author

Rémi PETITPIERRE - remi.petitpierre@epfl.ch - ORCID - Github - Scholar - ResearchGate

Work ethics

The data were compiled by RP.

License

See license file for detailed license information, depending on digital library policies. The curated data are released under the license CC-BY 4.0.

Liability

We do not assume any liability for the use of this dataset.

References

1. Petitpierre R (2025) Studying Maps at Scale: A Digital Investigation of Cartography and the Evolution of Figuration. PhD thesis. École Polytechnique Fédérale de Lausanne.

This data release for the reconnaissance geologic map of the Hells Canyon Study Area, Wallowa County, Oregon, and Idaho and Adams Counties, Idaho, is a Geologic Map Schema (GeMS, 2020)-compliant version of the geologic map published in U.S. Geological Survey (USGS) Scientific Investigations Report Map SIR 2007-5046 (Simmons, et al, 2007). The database represents the geology for the 625,177-acre (2,530 square kilometers), geologically complex Hells Canyon Study Area in two plates, at a publication scale of 1:48,000. The study area includes (1) the Hells Canyon Wilderness; (2) parts of the Snake River, Rapid River, and West Fork Rapid River Wild and Scenic Rivers; (3) lands included in the second Roadless Area Review and Evaluation (RARE II); and (4) part of the Hells Canyon National Recreation Area. References: Simmons, G.C., Gualtieri, J.L., Close, T.J., Federspiel, F.E., and Leszcykowski, A.M., 2007, Mineral resources of the Hells Canyon study area, Wallowa County, Oregon, and Id ...

Follow-up questions after map design variation (*this question was included for evaluating a possible response bias).

This map can be used:- to study the motion of the plates- to study phenomena taking place at plate boundaries- to visualize processes taking place.

The Digital Geohazard-GIS Map of the Zion National Park Study Area, Utah 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 (zion_geohazards.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 (zion_geohazards.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 (zion_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (zion_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 (zion_geohazards_metadata_faq.pdf). Please read the zion_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: Utah 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 (zion_geohazards_metadata.txt or zion_geohazards_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 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).

This case study document provides information on how Apple Maps is using our open datasets and articulates citizen benefits.

This is a pdf of the REACCHPNA research study area.

On shallow rocky reefs in northeastern Aotearoa, New Zealand, urchin barrens are recognised as indicators of the ecosystem effects of overfishing reef predators. Yet, information on their extent and variability is lacking. We use aerial imagery to map the urchin barrens and kelp forests on reefs (<30 m depth) across seven locations, including within two long-established marine reserves and a marine protected area that allows recreational fishing. Urchin barrens were present in all locations and were restricted to reefs <10-16 m deep. This archive contains ArcGIS shapefiles and layer files for all of the maps used in this study. The study area extends from Cape Reinga in the far north of the North Island to Tawharanui in the Hauraki Gulf near Auckland. Regional scale base maps of the prominent marine habitats were included along with the seven fine-scale maps where the kelp forests and urchin barrens were mapped., The GIS shapefiles produced in this study were hand-drawn over layers of low-level aerial photography taken in specific conditions, which maximised the visible depth observable to create polygons to depict the habitat boundaries of the shallow reef. Of particular interest was the mapping of urchin barrens. Ground truthing surveys creating point data and underwater imagery were also brought into the GIS project to assist in drawing the reef habitat polygons. Arc layer files contain a common symbology across the seven study maps to aid the interpretation of the mapping. Further information on the methodology used in the mapping can be found in two published papers and four technical reports corresponding to the maps. The Readme file details where technical reports and published reports can be downloaded from the internet., , # GIS data of urchin barren mapping in Northeastern New Zealand

GIS mapping resources supporting the research article: Kerr, V.C. Grace R.V. (deceased), and Shears N.T., 2004. Estimating the extent of urchin barrens and kelp forest loss in northeastern Aotearoa, New Zealand. Kerr and Associates, Whangarei, New Zealand.

Description of the data and file structure

Four folders in this archive contain ArcGIS shapefiles with the extension (.shp). The shapefiles can be uploaded to ArcGIS or any ArcGIS-compatible software to view and access the files' spatial data and habitat attributes. It is essential to retain the associated files in each folder as these are system files required by ArcGIS to open and use the shapefiles. Each shapefile has six associated files with extensions: .avi, .CPG, .dbf, .prf, .sbn, and .sbx. In this archive are maps based on polygons drawn to depict habitat boundaries of biological and physical habitats in the shallow coastal areas of Northeastern New Zealan...

This package contains a project specific geodatabase and map (.mxd) for Watershed study projects. For directions on using this file, see the GIS Standards Technical Memorandum on the Standards Page.