AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrographic and Impairment Statistics Database: THST

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, thomas-stone-national-historic-site, thst, tmdl, total-maximum-daily-load, water, waterfall, wetlands
Organization: Department of the Interior
Geospatial data for the Vegetation Mapping Inventory Project of Appalachian National Scenic Trail Vegetation Mapping Project

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.

Mapping vegetation of the Appalachian National Scenic Trail (APPA, also referred to as the “AT corridor” for the Appalachian Trail corridor) involved the following six primary steps: (1) preliminary map classification with a vegetation primer for each APPA project area, (2) field reconnaissance for each APPA project area, (3) map classification by each APPA project area, (4) aerial image interpretation and mapping by each APPA project area, (5) compilation of a final classification and map layer covering the entire AT corridor following accuracy assessment (AA), and (6) database development of the map layer. Although these steps proceeded sequentially, they overlap to some degree. Steps 1–4 proceeded sequentially by APPA project area starting in the Southern Blue Ridge (SBR) project area in 2010, moving north to the Central Appalachian (CAP) project area in 2011, then to the Lower New England (LNE) project area in 2012, and ending in the Northern Appalachian (NAP) project area in 2013. (See Figures 6–9 in the “Introduction and Project Overview” section of this report for detailed locations of the four APPA project areas.) Steps 5 and 6 compiled all APPA project areas into a contiguous map classification and map layer.

Summary reports generated from the vegetation map layer of the map classes representing USNVC natural (including ruderal) vegetation types apply to 28,242 polygons (92.9% of polygons) and cover 106,413.0 ha (95.9%) of the map extent for APPA. The map layer indicates APPA to be 92.4% forest and woodland (102,480.8 ha), 1.7% shrubland (1866.3 ha), and 1.8% herbaceous cover (2,065.9 ha). Map classes representing park-special vegetation (undefined in the USNVC) apply to 58 polygons (0.2% of polygons) and cover 404.3 ha (0.4%) of the map extent. Map classes representing USNVC cultural types apply to 1,777 polygons (5.8% of polygons) and cover 2,516.3 ha (2.3%) of the map extent. Map classes representing nonvegetated water (non-USNVC) apply to 332 polygons (1.1% of polygons) and cover 1,586.2 ha (1.4%) of the map extent.

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 Wilsons Creek 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 file geodatabase but older formats may exist as shapefiles.

Classification was based on 50 quantitative field plots, which were placed across WICR in a stratified random manner based on qualitative field observation points, consideration of biophysical setting, and viewing of air photos. Mapping was based on a combination of image object generation and heads-up digitization of air photos on-screen. Accuracy assessment points obtained during 2012 verified that the map is 81.3% accurate across all classes.

GIS Database 2011 - 2012:
Wilson’s Creek National Battlefield = 1,975 acres (799 hectares)

Base Imagery used for mapping (acquired by MoRAP):
2007-2009, Greene County, MO, leaf-off, true color, 2 ft 2009, Greene County, MO, leaf-on, Color 
Infrared, 1 m 2009, Greene County, MO, leaf-on, true color, 1 m

Additional Imagery acquired and viewed by MoRAP: 1941 Panchromatic Aerial Photo
1936 Panchromatic Aerial Photo
Minimum Mapping Unit = 0.5 hectares (ha) Total Size = 379 Polygons
Average Polygon Size = 5.21 acres (2.1 ha) Overall Thematic Accuracy = 81.3%
Project Completion Date: 11/2012

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
Interagency Monitoring of Air Quality/Visibility in Protected Environments

Two days per week sampling of selected aerosols; data for mass, elemental and organic carbon, sulfur dioxide, nitrates, sodium- lead, hydrogen, nitrogen, and promethium mass.

Tags: aerosol, air, air-pollution, air-quality, datasetcatalog, dena, denali-national-park, ltem, particulate
Organization: Department of the Interior
Soils - Rocky Mountain National Park

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: colorado, department-of-agriculture, geology, national-park-service-soil-inventory-and-monitoring-program, rocky-mountain-national-park, romo, soil, ssurgo, survey, usda
Organization: Department of the Interior
Picnic Areas - Rocky Mountain National Park

This point dataset was created to show the picnic area features in Rocky Mountain National Park. The features were digitized using aerial imagery and ArcMap 10.3. Edits were made by Glenn Hoffman at ROMO in November 2016 to incorporate the NPS Core Data Standard dated 08/10/2016.

Tags: arcgis, colorado, facilities, hiking, national-park-service, nps, picnic, picnic-areas, points-of-interest, rmnp, rocky-mountain-national-park, romo, sd, service-definition, transportation
Organization: Department of the Interior
Sampling transects for 2005-2007 Survey of Selected Arthropods from Assateague Island National Seashore

This shapefile documents the arthropod field survey transects in Assateague Island National Seashore between 2005 and 2007. Habitat information is included in an accompanying NPS Access database. This study is part of the Inventory and Monitoring Program of the Northeast Coastal and Barrier Network.

Tags: arthropods, asis, assateague-island-national-seashore, bees, beetles, biodiversity, biology, biota, butterflies, damselflies, dragonflies, grasshoppers, heritage, maryland, national-park-service, natural, virginia, wildlife
Organization: Department of the Interior
Sampling plots for the 2005-2007 Survey of Selected Arthropods from Assateague Island National Seashore

This shapefile documents the arthropod field survey points in Assateague Island National Seashore between 2005 and 2007. Habitat information is included in an accompanying NPS Access database. This study is part of the Inventory and Monitoring Program of the Northeast Coastal and Barrier Network.

Tags: arthropods, asis, assateague-island-national-seashore, bees, beetles, biodiversity, biology, biota, butterflies, damselflies, dragonflies, grasshoppers, heritage, maryland, national-park-service, natural, virginia, wildlife
Organization: Department of the Interior
Forest Carnivore Inventory for Mount Rainier National Park tabular data

Inventory of forest carnivore species tabular data for Mount Rainier National Park, 2000-2002. As part of the NPS Servicewide Vertebrate and Vascular Plant Inventory, we used remotely-triggered cameras to inventory forest carnivores in Mount Rainier National Park during the winters of 2000-2001 and 2001-2002. Using standardized protocols, we sampled 20 4-mi2 blocks: 11 blocks in 2000-2001 and 9 blocks in 2001-2002. We obtained 1313 photographs of 13 mammal and 5 bird species. We identified 7 species of forest carnivores:  American marten, spotted skunk, coyote, short-tailed weasel, bobcat, black bear, and red fox. We recorded two additional species (Virginia opossum and cougar) in preliminary test efforts that were not detected during protocol surveys. American marten were the most common species recorded, found in 70% of the sample blocks and representing 52.6% of the total animal photos collected. Neither lynx nor fisher was recorded.

Tags: american-black-bear, american-marten, aquila-chrysaetos, bear, black-bear, bobcat, camera, canis-latrans, carnivore, cascade-fox, cervus-elaphus, common-raven, corvus-corax, coyote, cyanocitta-stelleri, deer-mouse, didelphis-virginiana, douglass-squirrel, ecological-framework-biological-integrity-focal-species-or-communities-mammals, elk, felis-concolor, fisher, fox, glaucomys-sabrinus, golden-eagle, gray-jay, grey-jay, inventory, ixoreus-naevius, lepus-americanus, long-tailed-weasel, lynx, lynx-rufus, mammal, marten, martes-americana, mora, mount-rainier-national-park, mountain-lion, mule-deer, mustela-frenata, nccn, north-american-deermouse, north-coast-and-cascades-network, northern-flying-squirrel, northern-raven, odocoileus-hemionus, perisoreus-canadensis, peromyscus-maniculatus, red-deer-see-comments, red-fox, remote, snowshoe-hare, spilogale-gracilis, spotted-skunk, stellers-jay, tamias-townsendii, tamiasciurus-douglasii, townsends-chipmunk, ursus-americanus, varied-thrush, virginia-opossum, vulpes-vulpes, wapiti, wapiti-or-elk, weasel, western-spotted-skunk
Organization: Department of the Interior
Waterfalls - Rocky Mountain National Park

The Geographic Names Information System (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. Edits were made by Glenn Hoffman at ROMO in November 2016 to incorporate the NPS Core Date Standard dated 08/10/2016.

Tags: arcgis, colorado, environment, hiking, hydrology, landforms, national-park-service, points-of-interest, rocky-mountain-national-park, sd, service-definition, united-states, waterfalls
Organization: Department of the Interior
Catoctin Mountain Park Canopy Height (1m)

LiDAR derived Canopy Height of CATO at 1m resolution. 

These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

Tags: canopy, canopy-height, cato, catoctin, ecological-framework-biological-integrity-focal-species-or-communities-forest-woodland-communit, environment, lidar, maryland, md, ncrn, united-states-of-america, usa
Organization: Department of the Interior
Bat Acoustical Monitoring data from Virginia National Park Units, 2018

Bat Acoustical Monitoring data collected at six National Park units in 2018.  Appomattox Court House National Historical Park, Booker T. Washington National Monument, Fredericksburg and Spotsylvania County Battlefields Memorial National Military Park, Petersburg National Battlefield, Richmond National Battlefield Park, Shenandoah National Park were surveyed using Acoustic recording equipment and analyzed using Kaleidoscope Pro Software by staff at the USGS Virginia Cooperative Fish and Wildlife Research Unit and Virginia Polytechnic Institute and State University.

Tags: acoustic, bat, mammal-inventory, midn, monitoring, nabat, nrss-nabat-monitoring, virginia
Organization: Department of the Interior
Prince William Forest Park Forest Digital Elevation Model

LiDAR derived Digital Elevation Model of PRWI. 

These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

Tags: dem, ecological-framework-biological-integrity-focal-species-or-communities-forest-woodland-communit, elevation, environment, lidar, ncrn, prince-william-forest-park, prwi, united-states-of-america, usa, va, virginia
Organization: Department of the Interior
Field data for Inventory of Mammals (Excluding Bats) of George Washington Birthplace National Monument (GEWA), and Thomas Stone National Historic Site (THST)

This database contains field survey data collected between 2002 and 2004 for a inventory of mammals at COLO, GEWA, and THST. Surveys relied on live trapping with Sherman, Tomahawk, and pitfall traps for small to medium-size mammals, direct observation of individuals and their sign, and remote photography. Various habitats were targeted for sampling sites. Twenty-seven species were either captured or observed in COLO, twenty-one in GEWA, and twelve in THST.

Tags: biology, colo, colonial-national-historical-park, environment, george-washington-birthplace-national-monument, gewa, mammals, maryland, thomas-stone-national-historic-site, thst, virginia
Organization: Department of the Interior
Point survey locations for an Inventory of Mammals (Excluding Bats) of George Washington Birthplace National Monument (GEWA_Points_Mammals_2006.shp)

This shapefile contains points that represent the field survey sites where mammals were inventoried at George Washington Birthplace National Monument (GEWA).

Tags: biology, environment, george-washington-birthplace-national-monument, gewa, mammals, virginia
Organization: Department of the Interior
Prince William Forest Park Understory

LiDAR derived percent understory cover at PRWI. 

These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

Tags: ecological-framework-biological-integrity-focal-species-or-communities-forest-woodland-communit, environment, lidar, ncrn, prince-william-forest-park, prwi, understory, united-states-of-america, usa, va, virginia
Organization: Department of the Interior
Harpers Ferry Understory

LiDAR derived percent understory cover of HAFE at 2m resolution. 

These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

Tags: choh, ecological-framework-biological-integrity-focal-species-or-communities-forest-woodland-communit, environment, hafe, harpers-ferry, lidar, maryland, md, ncrn, understory, united-states-of-america, usa, va, virginia, west-virginia, wv
Organization: Department of the Interior
Catoctin Mountain Park Understory

LiDAR derived percent understory cover of CATO at 2m resolution. 

These data are part of a large data set describing the three-dimensional structure of vegetation in portions of four, primarily forested national parks: Prince William Forest Park, Catoctin Mountain Park, C&O Canal National Historical Park, and Harpers Ferry National Historical Park. All four parks are within the National Capital Region Inventory and Monitoring Network and contain forest monitoring plots that have been measured yearly since 2005. We acquired Light Detection and Ranging (LiDAR) surveys of these parks during leaf-on conditions in 2009 and 2010. From these data four primary products were generated: (1) digital elevation models (2-m resolution DEMs), (2) Canopy height models (at 1- and 2-m resolutions), (3) canopy gaps (defined as 2-m grid cells with canopies shorter than 3m), and (4) understory percent cover (2-m resolution). All data products are made available in standard GIS-compatible file formats and are intended to be used to understand spatial patterns in vegetation structure and as documentation of baseline conditions. Future assessments of vegetation structure using the same or similar methods would enable assessment of change in vegetation structure over time.

Tags: cato, catoctin, ecological-framework-biological-integrity-focal-species-or-communities-forest-woodland-communit, environment, lidar, maryland, md, ncrn, understory, united-states-of-america, usa
Organization: Department of the Interior