AndreaBozzo/ceres-open-data-index huggingface dataset:
Great Smoky Mountains National Park 1993-2025 Parkwide Water Quality Survey Data from the GRSM_WQ Project as of 2026-03-04

This data package was created 2026-03-04 09:06:10 by NPSTORET and includes selected project, location, and result data.

Data contained in the Great Smoky Mountains National Park NPSTORET back-end file (GRSM_NPSTORET_BE_20260302.ACCDB) were filtered to include:

Organization:
- GRSM: Great Smoky Mountains National Park
Project:
- GRSM_WQ: GRSM Parkwide Water Quality Survey
Station:
- Include Trip QC And All Station Visit Results
Value Status:
- Accepted or Certified (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 1993-10-01 to 2025-11-22.  This data package is a snapshot in time of one National Park Service project. The most current data for this project, 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=GRSM_WQ&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET

Tags: acid-neutralizing-capacity, aluminum, ammonium, anions, calcium, cations, chloride, copper, depth, hydrogen-ions, hydrological-properties, iron, magnesium, manganese, nitrate, npstoret, ph, plant-properties, potassium, precipitation, silicon, snow, sodium, specific-conductivity, sulfate, water-properties, water-quality, water-temperature, weather, zinc
Organization: Department of the Interior
Great Smoky Mountains National Park 1991-2025 Noland Divide Water Quality Monitoring Data from the GRSM_ND Project as of 2026-03-04

This data package was created 2026-03-04 09:45:35 by NPSTORET and includes selected project, location, and result data.

Data contained in the Great Smoky Mountains National Park NPSTORET back-end file (GRSM_NPSTORET_BE_20260302.ACCDB) were filtered to include:

Organization:
- GRSM: Great Smoky Mountains National Park
Project:
- GRSM_ND: GRSM Noland Divide Water Quality Monitoring
Station:
- Include Trip QC And All Station Visit Results
Value Status:
- Accepted or Certified (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 1991-07-05 to 2025-12-22.  This data package is a snapshot in time of one National Park Service project. The most current data for this project, 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=GRSM_ND&mimeType=csv&zip=yes&dataProfile=biological&providers=STORET

Tags: acid-neutralizing-capacity, aluminum, ammonium, anions, calcium, cations, chloride, copper, ecosystem-properties, hydrogen-ions, hydrological-properties, iron, magnesium, manganese, nitrate, npstoret, ph, potassium, precipitation, silicon, sodium, soil-properties, specific-conductivity, streamflow, sulfate, water-properties, water-quality, water-temperature, zinc
Organization: Department of the Interior
SWAN Snipe Lake Climate Station, Active Depth Layer Measurements 2017

These data were collected to identify the seasonal soil active layer at Snipe Lake (SNLA) weather observation station. The soil active layer is the top layer of soil that seasonally thaws in summer and refreezes in winter and is a key indicator of climate and carbon cycle dynamics within an ecosystem. These data are coincidental with NASA Arctic boreal vulnerability experiment, (ABoVE) airborne acquisitions of L and P band microwave data and soil temperature observations made at the Snipe Lake weather station.

Tags: climate, ecological-framework-geology-and-soils-soil-quality-soil-function-and-dynamics, soil, southwest-alaska-inventory-and-monitoring-network, weather
Organization: Department of the Interior
Applied force alters sensorineural and peripheral vascular function in an animal model of hand-arm vibration syndrome

Working with vibrating hand tools is associated with the development of hand-arm vibration syndrome (HAVS).  HAVS is characterized by cold-induced vasospasms, finger blanching and changes in sensory function.  Vibration plays a major role in the development of the symptoms that are characteristic of HAVS, however, the hands and fingers of worker using tools are also exposed to pressure applied as the workers grip tools.  The pressure applied by gripping a tool might also affect blood flow and sensorineural function.  Therefore, this study examined the effects of applied pressure [2 and 4 newtons (N)] on peripheral vascular and sensorineural function using a characterized rat tail model.  The tails of rats were exposed to 0, 2 or 4N of applied force for 10 days.  Blood flow (laser doppler) and sensitivity of the tail to pressure (Randall-Selitto pressure test) was measured on days 1, 5 and 10 of the exposure.  The sensitivity of the tail nerves to electrical stimulation was measured on days 2 and 9.

Tags: sensorineural, syndrome, vascular, vasospasms, vibration
Organization: U.S. Department of Health & Human Services
BLM ID CADNSDI PLSS Intersected

The fully intersected data is the atomic level of the PLSS that is similar to the coverage or the smallest pieces used to build the PLSS. Polygons may overlap in this feature class.     For more information contact us at blm_id_stateoffice@blm.gov.

Tags: blm, boundaries, bureau-of-land-management, cadastral, cadastral-reference, cadnsdi, doi, gcdb, general-land-office, geographic-coordinate-data-base, geospatial, glo, idaho, management, national-spatial-data-infrastructure, nsdi, parcels, planningcadastre, plss, plss-corners, plss-divisions, plss-sections, plss-special-surveys, public-land-survey-system, range, section, township, us-department-of-the-interior
Organization: Department of the Interior
Deepwater Horizon Response Air Sampling Data

The April 20, 2010, explosion and collapse of the BP Deepwater Horizon oil platform in the Gulf of Mexico resulted in the release of millions of barrels of oil into Gulf waters. The response to this disaster involved the efforts of tens of thousands of workers in a variety of capacities across Louisiana, Mississippi, Alabama, Florida, Texas, and in the Gulf of Mexico itself. The diverse work included oil and tar ball removal from beaches, oil skimming and booming near shores, burning of surface oil near the source of the oil release, surface application of dispersant by vessels and aircraft, and containment and recovery work on vessels at the release site. The nature of these activities raised concerns about potential occupational exposures to chemical and physical hazards and mental stressors.

NIOSH investigators conducted health hazard evaluations (HHEs) of Deepwater Horizon Response onshore and offshore workers. The goals of the NIOSH HHE assessments were to describe acute health effects, evaluate occupational exposures in qualitative or quantitative assessments, and generate hypotheses regarding symptoms potentially related to work activities. Environmental air samples were collected in support of the goals.

NIOSH investigators conducted the following exposure evaluations:

- We conducted evaluations on board vessels releasing dispersant. These vessels were deployed to perform small‐scale releases of dispersant in an area with surface oil contamination.
- We assessed exposures during in‐situ (i.e., on site) burns of surface oil.
- We assessed exposures on fishing and shrimping trawlers in the Vessels of Opportunity (VoO) program that were assigned to remove surface oil by booming and skimming.
- We assessed exposures aboard vessels located at the Deepwater Horizon incident site.
- We assessed exposures during boom and vessel decontamination operations.

Tags: air, deepwater, exposure, sampling, spill
Organization: U.S. Department of Health & Human Services
BLM Natl GTLF Public Motorized Trails

This feature class is the BLM Natl GTLF Public Motorized Trails subset of the feature dataset containing the BLM Ground Transportation Linear Features.  A linear feature for ground transportation includes roads, primitive roads, primitive routes, trails, temporary routes, and linear disturbances.

The Ground Transportation Linear Feature (GTLF) data standard provides a national geospatial data standard of the ground transportation linear features in BLM’s Enterprise GIS (E-GIS).  A national BLM GTLF data standard is essential for collecting the landscape-scale data necessary to identify management opportunities and challenges that may not be evident when managing smaller land areas.  GTLF data not only serve the crucial function of improving BLM transportation planning, but is also invaluable to numerous other BLM programs affected by transportation (e.g. water and air quality, wildlife habitat fragmentation, engineering, realty, cultural resources).

This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.

Tags: alaska, arizona, blm, boundaries, bureau-of-land-management, california, colorado, disturbance, eastern-states, geospatial, idaho, linear, location, management, montana, nevada, new-mexico, oregon, planningcadastre, primitive-roads, primitive-routes, roads, temporary-routes, trails, transportation, united-states, utah, western-states, wyoming
Organization: Department of the Interior
BLM Natl Public Lands Access Data Poly

This polygon feature contains parcels containing Federal interests in private land, including easements and reservations (1) in which the Federal Government does not have a fee title interest; and (2) that provide both legal public recreational access and legal administrative access to the Federal land in conformance with the MAPLand Act and the PLAD project. This dataset also also provides BLM managers with information to identify access limitations, vulnerabilities, and areas where access to public lands may be improved. The dataset can also support additional management of resources such as timber harvest, travel and transportation planning, wildfire fuels reduction projects and many other land management related decisions.   

Tags: arizona, authorization, california, colorado, idaho, location, management, montana, nevada, new-mexico, north-dakota, oregon, recreation, south-dakota, utah, washington, wyoming
Organization: Department of the Interior
BLM Natl GTLF Public Not Assessed Trails

This feature class is the BLM Natl GTLF Public Not Assessed Trails subset of the feature dataset containing the BLM Ground Transportation Linear Features.  A linear feature for ground transportation includes roads, primitive roads, primitive routes, trails, temporary routes, and linear disturbances.

The Ground Transportation Linear Feature (GTLF) data standard provides a national geospatial data standard of the ground transportation linear features in BLM’s Enterprise GIS (E-GIS).  A national BLM GTLF data standard is essential for collecting the landscape-scale data necessary to identify management opportunities and challenges that may not be evident when managing smaller land areas.  GTLF data not only serve the crucial function of improving BLM transportation planning, but is also invaluable to numerous other BLM programs affected by transportation (e.g. water and air quality, wildlife habitat fragmentation, engineering, realty, cultural resources).

This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.

Tags: alaska, arizona, blm, boundaries, bureau-of-land-management, california, colorado, disturbance, eastern-states, geospatial, idaho, linear, location, management, montana, nevada, new-mexico, oregon, planningcadastre, primitive-roads, primitive-routes, roads, temporary-routes, trails, transportation, united-states, utah, western-states, wyoming
Organization: Department of the Interior
BLM Utah Federal Minerals Estate

<div style='text-align:Left;font-size:12pt'><div><div><p><span>These data represent the current Federal Mineral Estate in Utah. The minerals on Federal lands are divided into three categories, each subject to different laws and regulations. Locatable, which are subject to the Mining Law of 1872, as amended, include gold, silver, copper and other hard rock minerals. Leasable minerals, such as oil, gas, coal and a host of other commodities, are subject to various Mineral Leasing Acts. Saleable minerals, such as sand and gravel that are essential to construction and road building, are subject to the Materials Act of 1947, as amended.</span></p></div></div></div>

Tags: blm, bureau-of-land-management, geoscientificinformation, minerals, subsurface, utah
Organization: Department of the Interior
BLM ID Field Office Administrative Unit Boundary

<div style='text-align:Left;'><div><div style='font-size:12pt'><p><span>This data set shows the Idaho Bureau of Land Management (BLM) Field Office, District Office and State Office boundaries and names as per the three-tier organization initiated in February 2007. A Bureau of Land Management (BLM) Administrative Unit is a geographic area in which an organizational unit of the BLM has distinct jurisdictional responsibility for land and resource management activities occurring on the public lands, the maintained rights of the United States (i.e. mineral estate) and actions relating to the Trust responsibilities of the U.S. Government as stipulated in Law or Treaty.The State Office is the top layer of the three-tier organization, with District Offices being the middle layer and providing coordination, oversight and support to the lowest level, the Field Office. Idaho has one State Office, four Districts and twelve Field Offices. This feature class documents the physical boundary of an administrative unit. In some cases, the administrative unit may manage areas outside of the boundary for other programs’ purposes - this datset does not show these areas. BLM Idaho administers a little land in Nevada also, which is included here.    For more information contact us at blm_id_stateoffice@blm.gov.</span></p></div></div></div>

Tags: administration, administrative-unit, blm, boise-district-office, boundaries, bruneau-field-office, bureau-of-land-management, burley-field-office, challis-field-office, coeur-d-alene-district-office, coeur-d-alene-field-office, cottonwood-field-office, department-of-the-interior, district, doi, facility, field, four-rivers-field-office, idaho, idaho-falls-district-office, idaho-state-office, inlandwaters, jarbidge-field-office, management, nevada, office, organization, owyhee-field-office, planningcadastre, pocatello-field-office, salmon-field-office, shoshone-field-office, state, three-tier, twin-falls-district-office, u-s, u-s-a, united-states, upper-snake-field-office, us, usa
Organization: Department of the Interior
BLM Natl GTLF Limited Public Motorized Roads

This feature class is the BLM Natl GTLF Limited Public Motorized Roads subset of the feature dataset containing the BLM Ground Transportation Linear Features.  A linear feature for ground transportation includes roads, primitive roads, primitive routes, trails, temporary routes, and linear disturbances.

The Ground Transportation Linear Feature (GTLF) data standard provides a national geospatial data standard of the ground transportation linear features in BLM’s Enterprise GIS (E-GIS).  A national BLM GTLF data standard is essential for collecting the landscape-scale data necessary to identify management opportunities and challenges that may not be evident when managing smaller land areas.  GTLF data not only serve the crucial function of improving BLM transportation planning, but is also invaluable to numerous other BLM programs affected by transportation (e.g. water and air quality, wildlife habitat fragmentation, engineering, realty, cultural resources).

This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.

Tags: alaska, arizona, blm, boundaries, bureau-of-land-management, california, colorado, disturbance, eastern-states, geospatial, idaho, linear, location, management, montana, nevada, new-mexico, oregon, planningcadastre, primitive-roads, primitive-routes, roads, temporary-routes, trails, transportation, united-states, utah, western-states, wyoming
Organization: Department of the Interior
BLM Natl GTLF Public Nonmechanized Trails

This feature class is the BLM Natl GTLF Public Nonmechanized Trails subset of the feature dataset containing the BLM Ground Transportation Linear Features.  A linear feature for ground transportation includes roads, primitive roads, primitive routes, trails, temporary routes, and linear disturbances.

The Ground Transportation Linear Feature (GTLF) data standard provides a national geospatial data standard of the ground transportation linear features in BLM’s Enterprise GIS (E-GIS).  A national BLM GTLF data standard is essential for collecting the landscape-scale data necessary to identify management opportunities and challenges that may not be evident when managing smaller land areas.  GTLF data not only serve the crucial function of improving BLM transportation planning, but is also invaluable to numerous other BLM programs affected by transportation (e.g. water and air quality, wildlife habitat fragmentation, engineering, realty, cultural resources).

This dataset is a subset of the official national dataset, containing features and attributes intended for public release and has been optimized for online map service performance. The Schema Workbook represents the official national dataset from which this dataset was derived.

Tags: alaska, arizona, blm, boundaries, bureau-of-land-management, california, colorado, disturbance, eastern-states, geospatial, idaho, linear, location, management, montana, nevada, new-mexico, oregon, planningcadastre, primitive-roads, primitive-routes, roads, temporary-routes, trails, transportation, united-states, utah, western-states, wyoming
Organization: Department of the Interior
BLM ID CADNSDI PLSS State Boundary Poly

<div style='text-align:Left;font-size:12pt'><div><div><p><span>This dataset portrays the state boundary based on the 2010 Cadastral National Spatial Data Infrastructure (CADNSDI) Geographic Coordinate Data Base (GCDB) distribution. The GCDB was acquired from a Premier Data contract in coordination with the BLM state GCDB Data Stewards to deliver a standardized GCDB product. This product would be capable, where GCDB data exists, to identify the State borders. Where GCDB data does not exist, in cases or rivers, lakes, and unsurveyed terrain, then alternative sources were used to identify the state boundary. Alternative sources include original 24K USGS Maps and US Forest Service Cartographic Feature File (CFF) PLSS data.</span></p></div></div></div>

Tags: blm, boundaries, bureau-of-land-management, cadastral, cadastral-national-spatial-data-infrastructure, cadnsdi, economy, gcdb, geographic-coordinate-data-base, geospatial, idaho, management, planningcadastre, society, state-boundary
Organization: Department of the Interior
BLM Natl Public Lands Access Data Line

This line feature represents Federal interests in private land, including easements and reservations (1) in which the Federal Government does not have a fee title interest; and (2) that provide both legal public recreational access and legal administrative access to the Federal land in conformance with the MAPLand Act and the PLAD project. This dataset also also provides BLM managers with information to identify access limitations, vulnerabilities, and areas where access to public lands may be improved. The dataset can also support additional management of resources such as timber harvest, travel and transportation planning, wildfire fuels reduction projects and many other land management related decisions.

Tags: arizona, authorization, california, colorado, idaho, location, management, montana, nevada, new-mexico, north-dakota, oregon, recreation, south-dakota, utah, washington, wyoming
Organization: Department of the Interior
BLM ID CADNSDI PLSS State Boundary Line

<div style='text-align:Left;font-size:12pt'><div><div><p><span>This dataset portrays the state boundary based on the 2010 Cadastral National Spatial Data Infrastructure (CADNSDI) Geographic Coordinate Data Base (GCDB) distribution. The GCDB was acquired from a Premier Data contract in coordination with the BLM state GCDB Data Stewards to deliver a standardized GCDB product. This product would be capable, where GCDB data exists, to identify the State borders. Where GCDB data does not exist, in cases or rivers, lakes, and unsurveyed terrain, then alternative sources were used to identify the state boundary. Alternative sources include original 24K USGS Maps and US Forest Service Cartographic Feature File (CFF) PLSS data.</span></p></div></div></div>

Tags: blm, boundaries, bureau-of-land-management, cadastral, cadastral-reference, cadnsdi, doi, gcdb, general-land-office, geographic-coordinate-data-base, geospatial, glo, idaho, management, national-spatial-data-infrastructure, nsdi, parcels, planningcadastre, plss, plss-corners, plss-divisions, plss-sections, plss-special-surveys, public-land-survey-system, range, section, township, us-department-of-the-interior
Organization: Department of the Interior