AndreaBozzo/ceres-open-data-index huggingface dataset:
Geospatial data for the Vegetation Mapping Inventory Project of Grand Canyon National Park/ Parashant 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.

In 2009, Kass Green & Associates (KGA) was chosen by the NPS to map the vegetation of Grand Canyon National Park and the Lake Mead National Recreation Area – administered portions of the Grand Canyon Parashant National Monument using a National Vegetation Classification Standard (NVCS) compliant classification. Mapping tools and techniques used included remotely sensed digital airborne NAIP imagery, image segmentation, ancillary data, GIS biophysical modeling, photo interpretation, and field visits. This section of the report summarizes the methods used by KGA to map the vegetation of the project area. The vegetation was mapped in three phases based on floristic similarity and difficulties dealing with the logistical barriers presented by extreme terrain. Phase 1 included the high elevation forests and woodlands on rims of the eastern portion of the mapping area; Phase 2 was the inner canyon areas of the eastern and central mapping area; Phase 3 was most of the rim- and canyon areas west of Parashant Canyon. Each phase was mapped and accuracy assessed as a unit. The final mapping activities involved reconciling map classes, boundaries and accuracy assessment among all phases. The final map contained 87 map classes with a minimum mapping unit of 0.5 hectares across more than 560,000 hectares. The classes included 41 NVC Associations, 36 NVC Alliances, seven NVC Group-level classes and three classes of unvegetated surfaces (built-up, water, and bare soil/rock). Accuracy assessment (AA) was done for 1847 map segments, distributed based on map class abundances. Accuracy by map class varied between 13% (Pinyon – Juniper / Talus or Canyon Slope Scrub) and 100% (Douglas Fir / Snowberry Forest and 5 others); project-wide accuracy was 77%. Roughly one-third of the mis-identified samples were among closely– related vegetation types. Others were among classes which were found in similar habitats (e.g., constrained tributary beds) and had very similar spectral signatures.

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: PRWI

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, prince-william-forest-park, prwi, 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
Glacier Bay, Alaska murrelet survey raw observations (KM_C) for survey year 2022

During GLBA field surveys, observation data are directly recorded into an ArcGIS file geodatabase through a custom application that runs on laptops and later iPads. Data collected include murrelet bird group observations, their relation to line transects, covariates, tracklogs, and GPS points made on survey transects.

These are stored in their original raw form after the field survey and are never edited.  Once quality control processes are completed a separate corrected version is produced as deliverable KM_D.

Tags: brachyramphus, brachyramphus-brevirostris, brachyramphus-marmoratus, ecological-framework-biological-integrity-focal-species-or-communities-birds, glacier-bay, kittlitzs-murrelet, marbled-murrelet, marbled-murrelets, murrelet
Organization: Department of the Interior
Hydrographic and Impairment Statistics Database: PETE

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, pete, petersburg-national-battlefield, 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
Hydrographic and Impairment Statistics Database: MONO

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, mono, monocacy-national-battlefield, 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
Hydrographic and Impairment Statistics Database: PISC

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, pisc, piscataway-park, 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
Intertidal Fish Inventory of Olympic National Park tabular data

Inventory of intertidal fish in Olympic National Park tabular data, 2001-2005. 

In 2001, 2002, 2004 and 2005 coastal and fisheries staff from Olympic National Park conducted inventories of intertidal fishes at Olympic National Park (OLYM). Beach seining and tide pool surveys were conducted.

Tags: abundance, alaskan-stickleback, amphistichus-koelzi, amphistichus-rhodoterus, apodichthys-flavidus, apodichthys-fucorum, aulorhynchus-flavidus, baitfish, bay-pipefish, beach-seining, biology, biota, blepsias-cirrhosus, cabezon, calico-surfperch, californian-anchoveta, clinocottus-acuticeps, clupea-pallasii, community, crescent-gunnel, cymatogaster-aggregata, ecological-framework-biological-integrity-focal-species-or-communities-fishes, ecological-framework-biological-integrity-focal-species-or-communities-intertidal-communities, embiotoca-lateralis, engraulis-mordax, environment, fluffy-sculpin, gasterosteus-aculeatus, gobiesox-maeandricus, hemilepidotus-hemilepidotus, hexagrammos-lagocephalus, hyperprosopon-anale, hyperprosopon-ellipticum, hypomesus-pretiosus, intertidal-fish, inventory, leptocottus-armatus, nccn, night-smelt, north-coast-and-cascades-network-network, north-pacific-anchovy, northern-anchovy, northern-clingfish, oligocottus-maculosus, oligocottus-snyderi, olym, olympic-national-park, pacific-herring, pacific-northwest, pacific-sardine, pacific-staghorn-sculpin, pallasina-barbata, penpoint-gunnel, pholis-laeta, pholis-ornata, pile-perch, platichthys-stellatus, psettichthys-melanostictus, red-irish-lord, redtail-surfperch, resource-management, rhacochilus-vacca, rock-greenling, rockweed-gunnel, saddleback-gunnel, sand-sole, sardinops-sagax, scorpaenichthys-marmoratus, sharpnose-sculpin, shiner-perch, silver-surfperch, silverspotted-sculpin, slendernosed-pipefish, south-american-pilchard, spirinchus-starksi, spotfin-surfperch, starry-flounder, striped-seaperch, surf-smelt, syngnathus-leptorhynchus, threespine-stickleback, tidepool-sculpin, tube-snout, tubenose-poacher, tubesnout, washington, wildlife
Organization: Department of the Interior
2013 LiDAR Survey, Colonial National Historical Park component of USGS Norfolk, VA LiDAR

LAZ files containing LiDAR point cloud data for Yorktown portion of Colonial National Historical Park. Subset of original data from USGS Norfolk, VA LiDAR project. 

 The primary purpose of this project was to develop a consistent and accurate surface elevation dataset derived from high-accuracy Light Detection and Ranging (LiDAR) technology for the USGS Norfolk, Virginia Project Area. The LiDAR data were processed to a bare-earth digital terrain model (DTM). Detailed breaklines, 3D buildings, 2D buildings, forest polygons, tree points, bare-earth digital elevation models (DEMs), first return digital surface models, and last return digital surface models were produced for the project area. Deliverables were produced in both UTM and State Plane coordinates. Data was formatted according to tiles with each UTM tile covering an area of 1,500 meters by 1,500 meters and each State Plane tile covering an area of 5,000 feet by 5,000 feet. A total of 1,458 UTM tiles and 1,400 State Plane tiles were produced for the project encompassing an area of approximately 1,130 sq. miles.

Tags: bare-earth-topography, colonial-national-historical-park, derived-surface, digital-elevation-model, elevation-change, laser-altimetry, lidar, resource-management, virginia
Organization: Department of the Interior
San Francisco Bay Area Network Water Quality Data for Three Projects from 2003-2025 as of 2026-02-17

This data package was created 2026-02-25 10:44:08 by NPSTORET and includes selected project, location, and result data.

Data contained in the San Francisco Bay Area Network NPSTORET back-end file (SFAN_MASTER_NPSTORET_BACKEND_20260217.ACCDB) were filtered to include:

Organization:
- SFAN: San Francisco Bay Area Network
Project:
- SFAN_I&M: SFAN Long-Term Water Quality Monitoring Program
- SFAN_I&M_EXTRA: SFAN Long-Term Water Quality Monitoring Program, Extra Sampling
- SFAN_WQ: SFAN Pilot Monitoring for Freshwater Quality Protocol
Station:
- Include Trip QC And All Station Visit Results
Activity Start Date (<=10/1/2025)
Value Status:
- Accepted or Certified (exported as Final) or Verified (exported as Final) or Final

The data package is organized into five data tables:
- Projects.csv - describes the purpose and background of the monitoring efforts
- Locations.csv - documents the attributes of the monitoring locations/stations
- Results.csv - contains the field measurements, observations, and/or lab analyses for each sample/event/data grouping
- HUC.csv - enumerates the domain of allowed values for 8-digit and 12-digit hydrologic unit codes utilized by the Locations data table
- Characteristics.csv - enumerates the domain of characteristics available in NPSTORET to identify what was sampled, measured or observed in Results

Period of record for filtered data is 2003-06-18 to 2025-09-16.  This data package is a snapshot in time of multiple National Park Service projects. The most current data for these projects, which may be more or less extensive than that in this data package, can be found on the Water Quality Portal at:

https://www.waterqualitydata.us/data/Result/search?project=SFAN_I&M&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET

https://www.waterqualitydata.us/data/Result/search?project=SFAN_I&M_EXTRA&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET

https://www.waterqualitydata.us/data/Result/search?project=SFAN_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET

Note: The projects share some of the same monitoring Location_IDs as monitoring was conducted at those locations as part of each project separately.

Tags: air-temperature, alkalinity, ammonia, antimony, bacteria, calcium, chloride, dissolved-organic-compounds, dissolved-oxygen, elements-and-compounds, hydrological-properties, iron, lead, magnesium, manganese, nitrate, nitrite, nitrogen, npstoret, particulates, ph, phosphate, phosphorus, physical-properties, potassium, precipitation, salinity, secchi-depth, sodium, specific-conductivity, streamflow, sulfate, suspended-solids, turbidity, water-properties, water-quality, water-temperature, weather, wq-data-package, zinc
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Great Sand Dunes National 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.

The digital vegetation map was produced using a combination of machine processing and visual interpretation. We used two primary image sources. These included 2006 1:12,000-scale infrared aerial photography for the areas west of the Sangre de Cristo Mountain range that was subsequently processed by the USFWS and 2006 National Agricultural Imagery Program (NAIP) imagery, and ground-truthing to interpret the complex patterns of vegetation and landuse at GRSA. Other referenced imagery included 2006 and 2007 Quickbird imagery which covered portions of the project area.
All of the interpreted and remotely sensed data were converted to Geographic Information System (GIS) databases using ArcInfo© software. Draft maps created from the vegetation classification were field-tested and revised before independent ecologists completed an assessment of the map‘s accuracy during 2008. During the summer of 2008 we sampled 1,537 accuracy assessment points to establish a final overall accuracy of 73.7%. This metric is subject to considerable interpretation and is discussed in detail in the results section.

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
Freshwater mussel inventories at Bluestone National Scenic River, New River Gorge National Park and Preserve and Gauley River National Recreation Area - Dataset As Delivered - NPS Inventory Program

Inventory project as-delivered dataset

Tags: freshwater-mussels, imd, inventory, national-park-service, nps, nps-inventory-and-monitoring-division, nps-species-inventory-program, survey
Organization: Department of the Interior
Gateway Water Depths for 60cm, 1m & 2m Sea Level Rise

This layer was developed as part of the project "Assessing Inundation Risk from Sea Level Rise and Storm Surge for the Northeast Coastal National Parks" The Parks included in this study are Acadia NP, Assateague Island Nat. Seashore, Boston Harbor Islands National Rec. Area, Cape Cod Nat. Seashore, Colonial Nat. Historical Park, Fire Island Nat. Seashore, Gateway National Rec. Area, and George Washington Birthplace Nat. Historical Park.

Tags: ecological-framework-air-and-climate-weather-and-climate-weather-and-climate, sea-level-rise, water-depth
Organization: Department of the Interior
Yosemite Buildings (file geodatabase)

The master dataset for the footprint of buildings in Yosemite and is a file geodatabase that includes building footprints. This will be the most current dataset for buildings in the park. Edits were made to this dataset in April 2008 to add many of the buildings in the Wawona area to the dataset. More edits made in September 2008 to dissolve polygons, add new polygons, and add attributes. More edits were made in 2009, 2010, and 2011 to add building numbers and ownership. Editing is ongoing to add FMSS numbers and remove nonexisting buildings. Comprehensive editing began in early August, 2009 to add identifiers for LCS and FMSS numbers for all park owned buildings. More edits in October, 2009 to correct locations of tent cabins in Boys Town, Curry Village. Valley and major park updates again in 2015 (including mitigation actions taken in previous years). This version represents edits up until and through December 2016.

Tags: buildings, infrastructure, infrastructure-maintenance, structures, yose, yosemite-national-park
Organization: Department of the Interior
StoryMap & feature layers used in maps contained in the Fire in the Jemez

The story of fire in the Jemez Mountains contains descriptions of the role of fire, natural history, research results and current conditions. This was a collaborative effort between Bandelier National Monument and USGS New Mexico Landscapes Field Station.

Tags: band, bandelier-national-monument, fire, fire-history, fire-scar, natural-history, santa-fe-national-forest, vall, valles-caldera-national-preserve
Organization: Department of the Interior
Wetlands Ecological Integrity Soil Chemistry Data at Florissant Fossil Beds National Monument, Great Sand Dunes National Park and Rocky Mountain National Park 2007-2020

Wetlands Ecological Integrity Soil Chemistry data from 2007-2020 at Florissant Fossil Beds National Monument, Great Sand Dunes National Park and Rocky Mountain National Park.

Tags: ecological-integrity, romn-wei-data-package, soils-chemistry, wetlands
Organization: Department of the Interior
GATE - 5 Meter 2009 raster bathymetry data

​This dataset shows all of the data collected in 2009 resampled to 5 meter resolution. 1 and 2 meter resolution is available upon request

Please refer to the dataset key for additional metadata information 
https://irma.nps.gov/App/Reference/Profile/2204785 
File Name: all_2009_5m_utm18_navd88.asc
Directory: 2009-MB

Tags: 2003, 2008, 2009, bathymetry, gate, gateway-national-recreation-area, jamaica-bay, multi-beam, single-beam
Organization: Department of the Interior