AndreaBozzo/ceres-open-data-index huggingface dataset:
Prioritizing Fish Reintroductions in Lower Abrams Creek, Great Smoky Mountains National Park Based on Ecological Benefit and Source Population Integrity.

Field methods include the capture of fishes using backpack electrofishing using the same methodologies employed by Great Smoky Mountains National Park fish biologists. In particular, alternating current electricity generated by a backpack electrofisher will be used to capture fishes in three GSMNP basins: (1) Deep Creek, (2) Pigeon River, and (3) Little River. At each site where fishes are collected, the lower caudal fin lobe will be surgically removed from up to three targeted species: (1) Banded Sculpin (Cottus carolinae), (2) Mottled Sculpin (Cottus bairdi), and (3) Greenside Darter (Etheostoma blennoides). Tissue samples will be preserved in 1 ml microcenterfuge tubes containing DNA shield (a liquid designed to reduced DNA degradation during storage). Tissue samples will be transported to the research laboratory of Dr. Joshuah Perkin at Tennessee Technological University, digested, and DNA extracted before 96-well plates containing sampled are shipped for genotyping by sequencing at the Cornell University Institute of Biotechnology.

Field methods will be employed to minimize mortality caused by electrofishing and tissue sample collection. Previous research has shown lower caudal fin lobe fin clips result in minimal mortality and fin ray regeneration will eventually proceed. All point data will be protected as sensitive data according to an existing data management plan between Dr. Joshuah Perkin and GSMNP staff (i.e., Matt Kulp and Kendra Straub).

Tags: aphn, appalachian-highlands-network, banded-sculpin, cottus-bairdii, cottus-carolinae, ecological-framework-biological-integrity-focal-species-or-communities-fishes, ecological-framework-biological-integrity-focal-species-or-communities-freshwater-communities, etheostoma-blennioides, great-smoky-mountains-national-park, greenside-darter, grsm, mottled-sculpin, origin-external, ser, southeast-region, studyid-grsm-01282
Organization: Department of the Interior
Mapping Extent, Submerged Marine Habitat Mapping, Fire Island National Seashore

This dataset shows the NPS park boundary for FIIS within Moriches Bay. The boundary was manually delineated from the boundary illustrated on NOAA chart 12352.

Tags: benthic-habitat, benthic-habitat-mapping, fiis, fire-island, fire-island-national-seashore, hurricane-sandy, hxsandy, ncbn, northeast-coastal-and-barrier-network, submerged-habitat, submerged-habitat-mapping
Organization: Department of the Interior
Lassen Volcanic Wilderness

The LAVO wilderness geodatabase provides spatial information on legislated and proposed wilderness areas in the park. 

The NPS wilderness data transfer standard provides a data standard for four types of datasets: Wilderness Lineage (background information pertaining to the mapping of wilderness), Legislated Wilderness (current wilderness), Historic Legislated Wilderness and Future Wilderness. Historic current and future wilderness boundaries are stored as polygons. The “lineage” feature classes record the metadata for the points and lines that were used in creating the wilderness polygon layers.

Tags: boundary, cadastre, california, lassen-county, lassen-volcanic-national-park, lavo, national-park-service, nps, planning, plumas-county, shasta-county, tehama-county, united-states, us, wilderness
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: TIMU

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, timu, timucuan-ecological-historic-preserve, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Lassen Volcanic National Park Points of Interest

The LAVO POI feature class provides the accurate location of campgrounds, trailheads, visitor centers, and other visitor points of interest in the park.

Tags: california, lassen-county, lassen-volcanic-national-park, lavo, national-park-service, nps, plumas-county, poi, points-of-interest, shasta-county, tehama-county, united-states, us
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Lewis and Clark National Historical Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

Several imagery sources were used to derive the vegetation map, primarily Light Imaging and Detection Radar (LiDAR) and aerial imagery from the National Agriculture Imagery Program. The eCognition software package and Berkley Imaging Segmentation was used to create the initial image segments and polygon map. The mean values of variable inputs were summarized for each of the training data polygons and were used to generate a predictive non-parametric model using RandomForest in the statistical program R. The model was then applied to all polygons. The resulting draft map was reviewed by experts familiar with the vegetation types of the area.
The final map includes 24 classes, representing 3 land cover types and 21 alliance-based map classes. A field-based, blind random sample accuracy assessment of the map was carried out in mid-August 2011 and December 2011. A total of 175 accuracy assessment points were collected. Based on the assessment, the total map accuracy was 88.9%, exceeding the program standard of 80%.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: TOSY

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, tosy, total-maximum-daily-load, touro-synagogue-national-historic-site, water, waterfall, wetlands
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Monocacy National Battlefield

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS (10.6.x) file geodatabase.

To map the vegetation and land cover of the parks within the National Capital Region, the region initiated collective mapping efforts at 10 parks (NPS unit codes: ANTI, CATO, CHOH, GWMP, HAFE, MANA, MONO, NACE, PRWI, WOTR).  NatureServe assisted with field plots, accuracy assessment, and building the vegetation classification for the vegetation map.

This geospatial dataset only covers Monocacy National Battlefield.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: GUIS

Hydrographic and Impairment Statistics (HIS) is a National Park Service (NPS) Water Resources Division (WRD) project established to track certain goals created in response to the Government Performance and Results Act of 1993 (GPRA). One water resources management goal established by the Department of the Interior under GRPA requires NPS to track the percent of its managed surface waters that are meeting Clean Water Act (CWA) water quality standards. This goal requires an accurate inventory that spatially quantifies the surface water hydrography that each bureau manages and a procedure to determine and track which waterbodies are or are not meeting water quality standards as outlined by Section 303(d) of the CWA. This project helps meet this DOI GRPA goal by inventorying and monitoring in a geographic information system for the NPS: (1) CWA 303(d) quality impaired waters and causes; and (2) hydrographic statistics based on the United States Geological Survey (USGS) National Hydrography Dataset (NHD). Hydrographic and 303(d) impairment statistics were evaluated based on a combination of 1:24,000 (NHD) and finer scale data (frequently provided by state GIS layers).

Tags: 303d, boundaries, boundary, canal, clean-water-act, cwa, designated-uses, ditch, geoscientificinformation, guis, gulf-islands-national-seashore, his, hydrographic-and-impairment-statistics, hydrographic-statistics, hydrography, impaired-waters, impairment, impairment-statistics, inland-waters, inlandwaters, lake, marsh, national-hydrography-dataset, nhd, ocean, oceans, pond, regulatory, reservoir, resource-management, river, sea, seep, shoreline, spring, statistics, stream, swamp, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Klondike Gold Rush National Historical Park NRCS Detailed Soils

This National Cooperative Soil Survey was completed as part of the Skagway inventory.  This data set was developed in conjunction with the U.S. Department of Agriculture, Natural Resources Conservation Service, and meets the standards and specifications on the National Park Service Soil Inventory and Monitoring Program, and is intended to serve as the official database for all agency applications regarding our soils resources. This data set is a digital soil survey and generally is the most detailed level of soil geographic data developed by the National Cooperative Soil Survey. The information was prepared by digitizing maps, by compiling information onto a planimetric correct base and digitizing, or by revising digitized maps using remotely sensed and other information. This data set consists of georeferenced digital map data and computerized attribute data. The map data are in a soil survey area extent format and include a detailed, field verified inventory of soils and miscellaneous areas that normally occur in a repeatable pattern on the landscape and that can be cartographically shown at the scale mapped. A special soil features layer (point and line features) is optional. This layer displays the location of features too small to delineate at the mapping scale, but they are large enough and contrasting enough to significantly influence use and management. The soil map units are linked to attributes in the National Soil Information System relational database, which gives the proportionate extent of the component soils and their properties.

Tags: alaska, environment, geoscientific-information, inventory-map-package, klgo, klondike-gold-rush-national-historical-park, national-cooperative-soil-survey, national-park-service, ncss, nps, sean, soil-resources-inventory, soil-survey, soil-survey-geographic, soils-inventory, soils-metadata, southeast-alaska-network, sri, ssurgo
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Chiricahua National Monument

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit.  Current format is ArcGIS file geodatabase but older formats may exist as shapefiles.

The vegetation mapping and characterization process began with the delineation of draft polygons from remote sensing imagery. Field crews then visited each polygon to collect qualitative vegetation cover data and further refine polygon boundaries. Concurrently, vegetation data were collected at both randomly and subjectively placed plots. At the end of each field day, crews transferred all edits made to field maps to a set of “master” paper maps that did not go into the field.  Each polygon was then edited in ArcMap to reflect any boundary changes collected in the field on paper maps, and each polygon feature was attributed to reflect any changes in polygon identification numbers and tentative association names. The datasets are housed in a file geodatabase structure (.gdb), enabling the establishment of topology rules and relationships. Strict nomenclature was enforced for polygons, such that unique names were assigned to each polygon; these reflected the verified physiognomic formation type with a prefix of representative letters (W = Woodland, SS = shrub savanna, etc.) followed by a number.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Catoctin Mountain Park

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS (10.6.x) file geodatabase.

To map the vegetation and land cover of the parks within the National Capital Region, the region initiated collective mapping efforts at 10 parks (NPS unit codes: ANTI, CATO, CHOH, GWMP, HAFE, MANA, MONO, NACE, PRWI, WOTR).  NatureServe assisted with field plots, accuracy assessment, and building the vegetation classification for the vegetation map.

This geospatial dataset only covers Catoctin Mountain Park.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Antietam National Battlefield

The files linked to this reference are the geospatial data created as part of the completion of the baseline vegetation inventory project for the NPS park unit. Current format is ArcGIS (10.6.x) file geodatabase.

To map the vegetation and land cover of the parks within the National Capital Region, the region initiated collective mapping efforts at 10 parks (NPS unit codes: ANTI, CATO, CHOH, GWMP, HAFE, MANA, MONO, NACE, PRWI, WOTR).  NatureServe assisted with field plots, accuracy assessment, and building the vegetation classification for the vegetation map.

This geospatial dataset only covers Antietam National Battlefield.

Tags: accuracy-assessment, botanical-survey, classification, geodatabase, habitat-types, imagery, national-vegetation-classification, nvc, nvcs, plots, releve, remote-sensing, usnvcs, vegetation, vegetation-inventory, vegetation-map, vegetation-mapping
Organization: Department of the Interior
BOHA 2019 Bivalve Quest Data (S.M. Version)

This feature layer contains points representing bivalve quest observations in Boston Harbor Islands National and State Park, Massachusetts, 2019. The data is current as of 2019 and is maintained by BOHA Science and Stewardship Partnerships.

Tags: bivalve-quest, boha, boston-harbor-islands-national-and-state-park, monitoring
Organization: Department of the Interior
OSMRE Abandoned Mine Land Award-Winning Projects

This layer displays the counties where award-winning AML projects are located along with information about the projects. Since project locations are not always known exactly, or may be near private residences, exact locations are not provided. This layer was created using information from OSMRE's website and joining it to US county boundaries. Agencies responsible for the reclamation projects are listed when known; the quality of the data improves after 1998. When available, hyperlinks to project descriptions and videos are included as well, generally for projects within the last 10 years.

Tags: abandoned-mine-lands, aml, aml-awards, coal, coal-mining, coalmine, geospatial, osmre, surface-mine
Organization: Department of the Interior
Post-Mining Land Use Designations at Coal Mining Operations

As described by ASTM D7780-12: This feature class contains polygons that depict post mining land use for a reclaimed Coal Mining Operation. This dataset consists of coalmining related features as described by ASTM D7780-12, "Standard Practice for Geospatial Data for Representing Coal Mining Features". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.

Tags: coal, coal-mine, coal-mining, coalmine, coalmining, geomine, geospatial, osmre, permit-boundaries, permits, permitting, surface-mine
Organization: Department of the Interior
Surface Coal Mine Operation Permit Boundaries

As described by ASTM D7780-12: This feature class contains polygons depicting boundaries of surface Coal Mining Operations and surface disturbance due to underground Coal Mining Operations. This dataset consists of coalmining related features as described by ASTM D7780-12, "Standard Practice for Geospatial Data for Representing Coal Mining Features". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.

Tags: coal-mine, coal-mining, coalmine, coalmining, downloadable-data, geomine, geospatial, permit-boundaries, permits, permitting, surface-mine
Organization: Department of the Interior
Environmental Resource Monitoring Locations within the Vicinity of Coal Mining Operations

As described by ASTM D7780-12: This feature class contains points that depict the location of environmental resource monitoring locations (ERMLs), including groundwater and surface water monitoring sites, NPDES locations, and certain types of sampling points. This dataset consists of coalmining related features as described by ASTM D7780-12, "Standard Practice for Geospatial Data for Representing Coal Mining Features". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.

Tags: coal, coal-mine, coal-mining, coalmine, coalmining, geomine, geospatial, osmre, permits, permitting, surface-mine
Organization: Department of the Interior
Reclamation Bond Status Areas within Permitted Coal Mining and Reclamation Operations

As described by ASTM D7780-12: Designated by the Regulatory Authority for individual areas within permitted coal mining and reclamation operations.  The bond status may be represented by Bonded, Not Bonded, Phase I Release, Phase II Release, Phase III Release, Forfeited or Termination of Jurisdiction (TOJ). This dataset consists of coalmining related features as described by ASTM D7780-12, "Standard Practice for Geospatial Data for Representing Coal Mining Features". These data are gathered using automated processes from participating coalmining regulatory authorities, which are generally state government agencies. The data from the various sources are transformed into common schemas as described by the ASTM Standard above. The resultant feature classes represent seamless information covering the coal producing areas of the United States. Development of these data are ongoing and will become more complete as more cooperating regulatory authorities are added to the GeoMine system.

Tags: bond, bond-release, bond-status, coal, coal-mine, coal-mining, coalmine, coalmining, geomine, geospatial, osmre, permit-boundaries, permits, permitting, surface-mine
Organization: Department of the Interior