AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2015 Site 0496 Land-Water Classification Data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2015 Color Infrared (CIR) Digital Imagery.  These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors.  The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-5938735ce4b0764e6c5d6aed, wetland
Organization: Department of the Interior
Potential areas of groundwater discharge delineated July 20–24, 2009 in the upper Humboldt River Basin, northeastern Nevada.

This data set contains polygons representing potential areas of groundwater discharge (PAGWD) for the upper Humboldt River Basin, northeastern Nevada.

Tags: biota, carbonate-rock-aquifer-system, climatologymeteorologyatmosphere, discharge, dixie-creek-tenmile-creek, elko-segment, et, et-unit, evaporation, evapotranspiration, great-basin, groundwater, groundwater-discharge, humboldt-river-basin, humboldt-river-region, huntington-valley, inlandwaters, lamoille-valley, marys-river, nevada, north-fork, phreatophyte, south-fork, starr-valley, transpiration, usgs-5939a86be4b0764e6c5ec8a8
Organization: Department of the Interior
Evapotranspiration units delineated July 20–24, 2009 in the upper Humboldt River Basin, northeastern Nevada

This data set contains polygons representing evapotranspiration (ET) units for the upper Humboldt River Basin, northeastern Nevada.

Tags: biota, carbonate-rock-aquifer-system, climatologymeteorologyatmosphere, discharge, dixie-creek-tenmile-creek, elko-segment, et, et-unit, evaporation, evapotranspiration, great-basin, groundwater, groundwater-discharge, humboldt-river-basin, humboldt-river-region, huntington-valley, inlandwaters, lamoille-valley, marys-river, nevada, north-fork, phreatophyte, south-fork, starr-valley, transpiration, usgs-5939a6a7e4b0764e6c5ec895
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 2166 Land-Water Classification Data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2015 Color Infrared (CIR) Digital Imagery.  These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors.  The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387703e4b0764e6c5d6c8f, wetland
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0489 Land-Water Classification Data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2015 Color Infrared (CIR) Digital Imagery.  These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors.  The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-5938734ce4b0764e6c5d6ae9, wetland
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0490 Land-Water Classification Data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2015 Color Infrared (CIR) Digital Imagery.  These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors.  The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387354e4b0764e6c5d6aeb, wetland
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2015 Site 0488 Land-Water Classification Data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2015 Color Infrared (CIR) Digital Imagery.  These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors.  The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition.  Three previous assessments have been conducted (2005, 2008, and 2012).  Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387343e4b0764e6c5d6ae6, wetland
Organization: Department of the Interior
Airborne electromagnetic and magnetic survey data in Big Cypress National Preserve and Everglades National Park, 2001

Airborne electromagnetic (AEM) and magnetic survey data, a total of 3065 line-kilometers, were collected during October 2001 in two survey blocks and four repeated lines from an earlier survey. The largest area, Block 1 totaling 2692.2 line-kilometers was flown over Big Cypress Preserve, smaller Block 2 along 277.1 line-kilometers was flown near the town of Homestead, and four lines totaling 95.2 line-kilometers were flown over Everglades National Park. The lines over Everglades National Park repeated the path of four lines from an earlier AEM survey collected in December 1994 (released under USGS Open-File Report 02-101 downloadable at https://pubs.er.usgs.gov/publication/ofr02101). Electromagnetic data were acquired with Dighem VRES frequency-domain system. Magnetic data were collected with a Scintrex CS2 cesium-vapor magnetometer. The line spacing was 400 m and several tie lines were flown. The nominal elevation of electromagnetic system was 30 m.  
This data release includes raw and processed AEM data. This release includes unprocessed and processed magnetic data that have been drift corrected.

Tags: aeromagnetic-surveying, aquifer, big-cypress-national-preserve, city-of-homestead, coastal-aquifer, dade-county, electromagnetic-surveying, environment, everglades-national-park, florida-bay, freshwater-saltwater-interface, geophysics, geoscientificinformation, geospatial-datasets, groundwater, magnetic-surveying, monitoring, monroe-county, resistivity, salinity, saltwater-intrusion, south-florida, usgs-593807c4e4b0f6c2d0da19ca, water-quality
Organization: Department of the Interior
Geodatabase supporting the assessment of hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New Mexico

This  U.S. Geological Survey (USGS) data release presents the geospatial data used to assess the hydrologic resources and the potential effects from oil and gas development in the Bureau of Land Management Tri-County Planning Area, Sierra, Doña Ana, and Otero Counties, New Mexico. The USGS, in cooperation with the Bureau of Land Management (BLM), conducted a study to assess the hydrologic resources and potential effects from oil and gas development in the Tri-County planning area, Sierra, Doña Ana, and Otero Counties, New Mexico. Publicly available data were used to assess these resources and effects and to identify data gaps in the Tri-County planning area.
These data support the following publication:
Reference for the SIR goes here ####.

Tags: biota, boundaries, coal-resources, development-potential, dona-ana, ecosystem, environment, groundwater, location, management, natural-resources, new-mexico, oil-and-gas-investigations-map, oil-resources, otero-county, sierra-county, surface-water, tri-county, usgs-593974b7e4b0764e6c5ec639, water-resource-management, water-resources
Organization: Department of the Interior
Terrestrial laser scanner data from Hetch Hetchy area, Yosemite National Park, California, USA

These data are 3D point cloud data collected by laser scanner in the Hetch Hetchy area of Yosemite National Park, USA. The data were collected to assess landscape change and vegetation response following the 2013 Rim wildfire. Filename convention: "hh_datatype_dd_ddmmyyyy_laserreturns_siteidentification". "datatype" is either "alsm" or "tls" The former was collected by the National Center for Airborne Laser Mapping for the U.S. Forest Service and National Park Service, and only a small portion of those data covering this study area are included here. The latter were collected by the U.S. Geological Survey using a Riegl VZ-400 laser scanner. "dd_dd" refers to first and last day of month of data collection. "mmyyyy" is month and year of data collection. "laserreturns" specify which laser pulses are included in each TLS dataset. The laser scanner collects multiple laser returns for each emitted laser pulse. These are labled as "single", "last", "first", or "other". "siteidentification" refers to either the upper or lower study site in Poopenaut Valley near Hetch Hetchy in Yosemite National Park.

Tags: lidar, usgs-59372b80e4b0f6c2d0d89b00
Organization: Department of the Interior
Characterization of seafloor photographs near the mouth of the Elwha River during the first two years of dam removal (2011-2013)

We characterized seafloor sediment conditions near the mouth of the Elwha River from underwater photographs taken every four hours from September 2011 to December 2013. A digital camera was affixed to a tripod that was deployed in approximately 10 meters of water. Each photograph was qualitatively characterized as one of six categories: (1) base, or no sediment; (2) low sediment; (3) medium sediment; (4) high sediment; (5) turbid; or (6) kelp. For base conditions, no sediment was present on the seafloor. Low sediment conditions were characterized by a light dusting of sediment; medium sediment conditions were characterized by a layer of sediment that covered all rock surfaces but did not obscure the relief of the seafloor; high sediment conditions were characterized by a layer of sediment that covered all rock surfaces and obscured the relief of the seafloor. During turbid conditions, suspended sediment in the water column obscured the view of the seafloor, and during kelp conditions, blades of kelp covered the camera lens, blocking our view of the seafloor.

Tags: clallam-county, dam-removal, elwha-river, oceans, olympic-peninsula, photography, sediment, sedimentation, state-of-washington, strait-of-juan-de-fuca, substrate, time-series-datasets, underwater-photography, usgs-593722f6e4b0f6c2d0d89aba
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 0648 Land-Water Matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387709e4b0764e6c5d6c91, wetland
Organization: Department of the Interior
Detection of Nanophyetus salmincola in water, snails and fish tissues by quantitative PCR

The data are used to support the development and validation of two quantitative polymerase chain reaction (qPCR) assays to detect the parasite Nanophyetus salmincola DNA in water samples and fish and snail tissues. The data link to a series of experiments that are described in the publications.  Experiment 1 defines the linearity and detection limits of the assays.  Experiment 2 assesses the utility of the assays to detect N. salminicola waterborne cercaria in one liter volumes of water. Experiment 4 assesses the detection of N. salminicola waterborne cercaria in small volumes (50 microliters). Experiments 5 and 6 assesses the within and between run repeatability of the assays. Experiment 7 assesses the diagnostic specificity of the assays in a fish population known to be negative for the parasite.  Experiment 8 assesses the diagnostic specificity of the assays in a fish population known to be positive for the parasite. Experiment 9 assesses the diagnostic accuracy of the assays in fish artificially exposed to the parasite. Experiment 10 assesses the ability of the assay to detect the parasite in the intermediate snail host (Juga spp.). Experiment 11 assesses the ability of the assay to detect the parasite in the one liter volumes of river water collected at sites where the intermediate snail host is either present or absent.

Tags: disease-research, dna-probe-analysis, usgs-59371332e4b0f6c2d0d89a0d
Organization: Department of the Interior
Data release of the influence of data characteristics on detecting wetland/stream surface-water connections in the Delmarva Peninsula, Maryland and Delaware

The datasets were generated for the Upper Choptank River Watershed (UCRW) in Maryland and Delaware. Depressions and the total stream network were derived from a lidar DEM collected during April to June 2003 (vertical accuracy root mean square error (RMSE) = 14.3 cm) and March to April 2006 (vertical accuracy RMSE = 18.5 cm) for Maryland (1 m resolution) and April 2007 (vertical accuracy RMSE = 18.5 cm) for Delaware (3 m resolution)). Depressions were identified using the Stochastic Depression Analysis Tool in Whitebox GAT. A random sample from the potential error values was iteratively added to the original DEM prior to depressions being filled and identified. Cells were considered part of a depression if identified as such in 80% of the 20 iterations. An edge preserving smoothing filter with a 3-pixel by 3-pixel window was applied to reduce noise, or random error, within the final depression raster. Depressions smaller than 50 m2 were removed. To map the stream network, flow accumulation was calculated on the filled lidar DEM using the FD8 flow accumulation algorithm. Flow accumulation was thresholded at 50,000 m2, a decision point guided by field-based points. Three Landsat images were used to create a surface-water extent map from Landsat including Landsat-8 images collected on April 4, 2015 (p14r33) and April 11, 2015 (p15r33) and a Landsat-7 ETM+ image collected on April 12, 2015 (p14r33). Surface-water was identified using the Matched Filtering algorithm. The output values were linearly stretched and a Frost filter with a 3-pixel by 3-pixel window was applied. Landsat pixels with a per-pixel fraction of &gt;0.4 were classified as inundated.

Tags: choptank-river, delaware, delmarva-bays, delmarva-peninsula, depressions, landsat, lidar, maryland, streams, surface-water-extent, upper-choptank-river-watershed-ucrw, usgs-59370e80e4b0f6c2d0d899d5
Organization: Department of the Interior