A standardized delineation of the worlds’ mountains has many applications in research, education, and the science-policy interface. Here we provide a new inventory of 8616 mountain ranges developed under the auspices of the Global Mountain Biodiversity Assessment (GMBA). Building on an earlier compilation, the presented geospatial database uses a further advanced and generalized mountain definition and a semi-automated method to enable globally standardized, transparent delineations of mountain ranges worldwide. The inventory is presented on EarthEnv at various hierarchical levels, allowing users to select their preferred level of regional aggregation from continents to small subranges according to their needs and the scale of their analyses. The clearly defined, globally consistent and hierarchical nature of the presented mountain inventory offers a standardized resource for referencing and addressing mountains across basic and applied natural, social sciences research and a range of other uses in science communication and education.

A new, high-resolution (250 m) map of global mountains derived from terrain characteristics. This new 250-m resource documents a larger global mountain extent than previous characterizations, although it excludes plateaus, hilly forelands, and other landforms that are often considered part of mountain areas. This resource was developed by the U.S. Geological Survey (USGS), in partnership with Esri, the Center for Development and Environment of the University of Bern (CDE), the Global Mountain Biodiversity Assessment (GMBA), and the Mountain Research Initiative (MRI).

Comprehensive dataset of 284 Mountain ranges in United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The Mountain Legacy Project compiles historical survey photographs, maps and field notes created between years 1861 to 1953 by surveyors with the Geological Survey of Canada, the Department of the Interior’s Dominion Land Survey and other government departments. Repeated photographs of surveyed historical landscapes have been captured since 1998 onwards, in order to assess environmental change in the Canadian Rocky Mountains over the last century. This database contains archival information describing the historical surveys using information pieced together through research of field notes and other historical references. Field notes, photogtaphic, spatial, and other descriptive information are provided for repeated visits of sites.

Comprehensive dataset of 1 Mountain ranges in West Virginia, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

The database brings together physical, chemical and biological data from approximately 350 European mountain lakes. These were collected as part of a one off survey undertaken in 2000. Lakes were sampled for a range of contemporary and sub-fossil organisms including planktonic crustaceans, rotifers, littoral invertebrates, chironomids, diatoms and cladocerans. Survey and cartographic data were used to determine environmental characteristics at each site. Organic pollutants and trace metal concentrations were measured in the lake sediment. More information on this dataset can be found in the Freshwater Metadatabase - BF16 (http://www.freshwatermetadata.eu/metadb/bf_mdb_view.php?entryID=BF16).

The Geographic Names Information System (GNIS) actively seeks data from and partnerships with Government agencies at all levels and other interested organizations. The GNIS is the Federal standard for geographic nomenclature. The U.S. Geological Survey developed the GNIS for the U.S. Board on Geographic Names, a Federal inter-agency body chartered by public law to maintain uniform feature name usage throughout the Government and to promulgate standard names to the public. The GNIS is the official repository of domestic geographic names data; the official vehicle for geographic names use by all departments of the Federal Government; and the source for applying geographic names to Federal electronic and printed products of all types. See http://geonames.usgs.gov for additional information.

This dataset contains the White Mountain National Forest Boundary. The boundary was extracted from the National Forest boundaries coverage for the lower 48 states, including Puerto Rico developed by the USDA Forest Service - Geospatial Service and Technology Center. The coverage was projected from decimal degrees to UTM zone 19. This dataset includes administrative unit boundaries, derived primarily from the GSTC SOC data system, comprised of Cartographic Feature Files (CFFs), using ESRI Spatial Data Engine (SDE) and an Oracle database. The data that was available in SOC was extracted on November 10, 1999. Some of the data that had been entered into SOC was outdated, and some national forest boundaries had never been entered for a variety of reasons. The USDA Forest Service, Geospatial Service and Technology Center has edited this data in places where it was questionable or missing, to match the National Forest Inventoried Roadless Area data submitted for the President's Roadless Area Initiative. Data distributed as shapefile in Coordinate system EPSG:26919 - NAD83 / UTM zone 19N.

Comprehensive dataset of 316 Mountain peaks in Ohio, United States as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Comprehensive dataset of 2,349 Mountain peaks in Montana, United States as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

Vector-type database, obtained from the georeferencing of reports of springs (free or tapped) and tappings such as wells or troughs, sections of the 1.25.000 scale tablets of the official topographic map of the Kingdom of Italy (IGMI), surveyed in a period between the end of the 1800s and the first half of the 1900s

Vector database, obtained from the georeferencing of reports of historical evidence of the occurrence of surface aquifers in the Emilia-Romagna plain; among these, the fountains. The reports derive from historical topographic maps and bibliography, implementing data from the publication: Bonaposta D., Segadelli S., De Nardo M.T., Alessandrini A., Pezzoli S. (2011) - The geological potential of historical environmental data: the case of springs and fountains in Emilia Romagna. The degree of detail of the information layer is compatible with that required by territorial and urban planning in the municipal and supra-municipal areas.

This dataset includes magnetotelluric transfer functions in the form of EDI files for 16 stations collected by the USGS and 40 stations collected by Quantec Geoscience for Lawerence Berkeley National Lab around the Mountain Home area in Idaho. A 3D electrical resistivity model is included that images resistive and conductive bodies in the subsurface that maybe important for geothermal characterization. The model was created using ModEM using the high performance computer Yeti at the USGS.

The Snake River Plain (SRP), Idaho, hosts potential geothermal resources due to elevated groundwater temperatures associated with the thermal anomaly Yellowstone-Snake River hotspot. Project HOTSPOT has coordinated international institutions and organizations to understand subsurface stratigraphy and assess geothermal potential. Over 5.9km of core were drilled from three boreholes within the SRP in an attempt to acquire continuous core documenting the volcanic and sedimentary record of the hotspot: (1) Kimama, (2) Kimberly, and (3) Mountain Home. The Mountain Home drill hole is located along the western plain and documents older basalts overlain by sediment. Data submitted by project collaborator Doug Schmitt, University of Alberta

This dataset contains point features depicting mountains, peaks, mountain ranges and hills and their names. Ranges are located with a point or series of points in the approximate vicinity of the feature.

Mountain data originated from 1:250,000 scale AUSLIG supplied topographic data (repromats). Corrections were made to locate the points accurately to the 1:100,000 scale National Topographic Map Series. Georeferenced Topographic Maps are dated 1966.

This dataset consists of a 90 KB point shapefile containing 344 features.

95% of points within the Mountains coverage were located to the 1:100,000 scale Topographic maps Series. Some smaller hills, mountains and ranges shown on the 1:100,000 scale Topographic map Series, not in the original source data, have not been included in this dataset. 90% of the points are within +/- 50 metres of true position.

Data reproduced with permission of Wet Tropics Management Authority

This metadata was prepared for the e-Atlas and is not authoritative. Please contact the Wet Tropics Management Authority for an authoritative record.

Georeferenced vector database, containing the areas bearing reports of travertine deposits, mainly associated with springs or "Limestone Precipitating Springs", detected at a scale of 1:10,000 in the Emilia-Romagna Apennines and approximated to polygons. In the tabular content, unpublished data (taken from the Author's personal knowledge) are differentiated from those taken from existing databases, such as for example the regional databases of the Geological Map of the Emilia-Romagna Apennines at 1:10,000 scale or of the Habitat map of Emilia-Romagna. The stratigraphic-structural domains to which the geological units within which the reports are found belong are also indicated.

This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources Division for use in a Baseline Water Quality Data Inventory and Analysis Report that was prepared for the park. The report presents the results of surface water quality data retrievals for the park from six of the United States Environmental Protection Agency's (EPA) national databases: (1) Storage and Retrieval (STORET) water quality database management system; (2) River Reach File (RF3) Hydrography; (3) Industrial Facilities Discharges; (4) Drinking Water Supplies; (5) Water Gages; and (6) Water Impoundments. The small-scale GIS data layers were used to prepare the maps included in the report that depict the locations of water quality monitoring stations, industrial discharges, drinking intakes, water gages, and water impoundments. The data layers included in the maps (and this dataset) vary depending on availability, but generally include roads, hydrography, political boundaries, USGS 7.5' minute quadrangle outlines, hydrologic units, trails, and others as appropriate. The scales of each layer vary depending on data source but are generally 1:100,000.

United States CCI: Mountain data was reported at 84.800 1985=100 in Apr 2025. This records a decrease from the previous number of 99.700 1985=100 for Mar 2025. United States CCI: Mountain data is updated monthly, averaging 101.200 1985=100 from Jan 1981 (Median) to Apr 2025, with 532 observations. The data reached an all-time high of 152.400 1985=100 in Sep 2018 and a record low of 24.800 1985=100 in Feb 2009. United States CCI: Mountain data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H049: Consumer Confidence Index. [COVID-19-IMPACT]

This interactive web map shows the Experimental Forests and Ranges of the Northern Research Station. This particular map highlights the location of the Bartlett Experimental Forest on the White Mountain National Forest. This web map is part of a storymap, Bartlett Experimental Forest Through the Years: celebrating 90 years of forest management and research.

This data set contains polygons of glacial lake extent on a near-global scale, averaged over five multi-year periods between 1990 and 2018.