AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2018 Site 0115 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 398 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 2018 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. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611d29cdd34e40dd9c012895, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Raman spectroscopy data for rock samples from Von Damm vent field, Mid-Cayman Rise

This portion of the data release presents Raman spectroscopy of rock samples collected from Von Damm vent field, Mid Cayman Rise, in the Caribbean Sea. These data were collected in 2020 (USGS Field Activity 2020-602-FA). Location information for the sample is included in each Attribute Definition of this metadata file.

Tags: caribbean-sea, chemical-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, geoscientificinformation, global-ocean-mineral-resources, marine-geology, material-resources, metallic-mineral-resources, mid-cayman-rise, mineral-resources, mineralogical-analysis, nonliving-resources, ocean-characteristics, ocean-processes, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, raman, sediment-geochemistry, u-s-geological-survey, usgs, usgs-67129675d34eb6a152fc7197, von-damm-vent-field
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 Site 0572 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 398 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 2021 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. Five previous assessments have been conducted (2005, 2008, 2012, 2015/2016, and 2018). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-6569e573d34e6dde1a4ae0fc, wetland, wetland-restoration
Organization: Department of the Interior
Grain-size analyses of sediment cores from the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon collected on USGS Field Activity 2012-007-FA

Twenty-four piston cores (and associated trigger cores) were collected from the source zone of the Currituck Landslide Complex and upper slope adjacent to Baltimore Canyon by the U.S. Geological Survey and the University of Rhode Island Department of Ocean Engineering during an eight-day cruise aboard the R/V Hugh R. Sharp in September/October of 2012. These cores were analyzed for evidence of seafloor mass transport processes, with an emphasis on constraining the age and shallow stratigraphy of the landslide complex. Sedimentological and geotechnical characterization of the cores was carried out through whole core imaging and description, followed by analysis of discrete samples at the USGS Woods Hole Coastal and Marine Science Center's Sediment Analysis Laboratory and other facilities, including grain-size, CaCO3 content, mineral composition, and bulk index properties (e.g., undrained shear strength and water content), micropaleontologic separations, and geochronology. This data release contains the results of these core descriptions and results of the laboratory analyses.

Tags: atlantic, baltimore-canyon, clay, clay-deposits, core-analysis, cores, cruise-id-hrs1209, currituck-landslide, geology, geoscientificinformation, grain-size, grain-size-analysis, gravel, holocene, hugh-r-sharp, maryland, north-carolina, oceans, piston-cores, piston-coring, sand, sand-deposits, sediment-samples, sedimentology, sieve-size-analysis, silt, trigger-cores, u-s-continental-shelf, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-6436e5bed34ee8d4addcb355, virginia, whcmsc, whcmsc-field-activity-2012-007-fa, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2018 Site PO-142 CRMS-like 03 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 398 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 2018 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. Four previous assessments have been conducted (2005, 2008, 2012, and 2015/2016). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-611e70b4d34e40dd9c019711, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Estimated Annual Recharge to the Edwards Aquifer in the San Antonio Area, by Stream Basin or Ungaged Area, 1934–2022

The Edwards aquifer in south-central Texas is one of the most permeable and productive aquifers in the United States and is the major source of public water supply for Bexar, Comal, Hays, Medina, and Uvalde Counties. The Edwards aquifer also supplies large quantities of water for use in agriculture, business, and industry in the region. The major artesian springs of the Edwards aquifer provide water for recreational activities, businesses, and downstream users, and provide habitat for several threatened or endangered species.
The areas pertinent to the recharge process are the catchment area and the recharge zone. The catchment area consists of the parts of river basins upstream from the recharge zone. Streams in the catchment area generally gain water as they flow toward the recharge zone. As the streams flow across the recharge zone, which is essentially the outcrop of the Edwards aquifer, they lose substantial amounts of water through infiltration into the highly permeable, faulted and fractured rocks of the outcrop. Direct infiltration of rainfall also occurs in the interstream areas of the recharge zone.
Annual recharge estimates are based on data collected from a network of U.S. Geological Survey (USGS) streamflow-gaging stations at sites upstream and downstream from the recharge zone and on assumptions related to applying runoff characteristics from gaged areas to ungaged areas, Puente (1978). Runoff is affected by the distribution of rainfall, which historically has been estimated from a network of rain gages, some operated by the USGS, some by the Edwards Aquifer Authority (EAA), and some by the National Weather Service. Since 2004, the distribution of rainfall has been estimated from calibrated NEXRAD (NEXt-generation weather RADar) data provided by the EAA. The annual estimation of recharge to the Edwards aquifer is part of a continuing program of the USGS in cooperation with the Edwards Aquifer Authority.
This data release is formatted as a tab-delimited file (.txt) that contains the estimated annual recharge to the Edwards aquifer for 1934 through 2022. The estimated annual recharge is divided into eight major river basins within the catchment area and for some of those basins, will also include estimates of recharge from adjacent ungaged areas.

Tags: bexar-county, blanco-river, cibolo-creek, comal-county, comal-river, comal-springs, dry-frio-river, edwards-aquifer-catchment-area, edwards-aquifer-recharge-zone, frio-river, groundwater-flow, guadalupe-river, hays-county, hondo-creek, hueco-springs, hydrogeology, medina-county, medina-lake, medina-river, nueces-river, plum-creek, real-county, sabinal-river, salado-creek, san-antonio-texas, seco-creek, usgs-641cafc4d34e807d39b654db, uvalde-county, west-nueces-river
Organization: Department of the Interior
SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters of landcover, geomorphic setting, substrate type, vegetation density, and vegetation type: Fisherman Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-habitat, coastal-processes, delmarva-peninsula, environment, erosion, fisherman-island, fisherman-island-national-wildlife-refuge, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, hazards, image-analysis, mean-high-water, mhw, north-america, oceans, scientific-interpretation, sea-level-change, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5daa37bde4b09fd3b0c9cec8, va, virginia, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Post-wildfire rain gage data for Rendija Canyon, New Mexico

This USGS Data Release section presents tipping-bucket rain gage data collected following the 2000 Cerro Grande Fire near Los Alamos, New Mexico. Further details are provided in https://onlinelibrary.wiley.com/doi/10.1002/hyp.6806.

Tags: climatologymeteorologyatmosphere, rainfall, usgs-65e61769d34e5855ff4e6755, wildfire
Organization: Department of the Interior
Soil-Water Balance Model of the Puyallup and Chambers-Clover Basins, Western Washington

This archive documents a Soil-Water Balance (SWB) model of the Puyallup and Chambers-Clover Basins in Pierce and  King Counties, Washington. The SWB model used to estimate a water budget and recharge for input into a groundwater flow model of the Puyallup and Chamber-Clover Basins between January 2005 and December 2015.

Tags: chambers-creek, clover-creek, groundwater, king-county, pierce-county, puyallup-river, recharge, usgs-5e010753e4b0b207aa033db2, washington, water-budget
Organization: Department of the Interior
Alamagan Volcano - geochronologic points

Alamagan Volcano is a Quaternary stratovolcano along the Mariana Arc, an active subduction zone in the western Pacific Ocean. Although primarily submerged, its peak reaches above sea level, with subaerially-exposed volcanic deposits dating back through the Holocene to the late Pleistocene. These feature data represent such deposits and other geologic features of Alamagan Volcano, describing its interpreted eruptive history.

Tags: alamagan-island, andesite, geochronologic-point, geochronpoints, geologic-maps, holocene, intermediate-volcanic-rock, lava-flow, northern-islands, northern-mariana-islands, pacific, pacific-islands, pleistocene, pyroclastic-rock, quaternary, radiocarbon, radiocarbon-point, radiocarbon-sample, united-states, usgs-5f3193de82ceae4cb3cae967, volcanic-activity, volcanic-rock
Organization: Department of the Interior
JPEG images of Seismic data collected by the U.S. Geological Survey as part of the Geologic Framework Studies project offshore of the Grand Strand, South Carolina

JPEG images of each seismic line were generated in order to incorporate images of the seismic data into Geographic Information System (GIS) projects and data archives utilizing HTML.  The JPG format is universal and enables hassle-free transfer of data. These data yield a pictorial view of the seismic data acquired.In 1999, the USGS, in partnership with the South Carolina Sea Grant Consortium, began a study to investigate processes affecting shoreline change along the northern coast of South Carolina, focusing on the Grand Strand region. Previous work along the U.S. Atlantic coast shows that the structure and composition of older geologic strata located seaward of the coast heavily influences the coastal behavior of areas with limited sediment supply, such as the Grand Strand. By defining this geologic framework and identifying the transport pathways and sinks of sediment, geoscientists are developing conceptual models of the present-day physical processes shaping the South Carolina coast. The primary objectives of this research effort are: 1) to provide a regional synthesis of the shallow geologic framework underlying the coastal upland, shoreface and inner continental shelf, and define its role in coastal evolution and modern beach behavior; 2) to identify and model the physical processes affecting coastal ocean circulation and sediment transport, and to define their role in shaping the modern shoreline; and 3) to identify sediment sources and transport pathways; leading to construction of a regional sediment budget.

Tags: atlantic-ocean, cmgp, coastal-and-marine-geology-program, garden-city, geoscientificinformation, grand-strand, image-collections, jepg, jpg, marine-geophysics, myrtle-beach, north-myrtle-beach, oceans, pawleys-island, segy, seismic-reflection, south-carolina, southeast-united-states, sub-bottom-profiling, surfside, u-s-geological-survey, united-states, usgs, usgs-c768eb7c-923d-46b8-9cea-391a4d3ba8e2, waites-island, whsc, woods-hole-science-center
Organization: Department of the Interior
Northern Continental Divide Ecosystem grizzly bear (Ursus arctos) genetic profiles (1998-2012)

Two independent sampling methods were used to collect genetic samples from grizzly bears (Ursus arctos): (i) hair traps—corrals of barbed wire with lure in the center systematically distributed using an 8 x 8 km (1998, 2000) or 7 x 7 km (2004) grid and (ii) bear rubs—naturally occurring trees or other objects that bears rub on fitted with barbed wire (1998–2000, 2004, and 2009–2012). From 1998 to 2000, sampling occurred on 8000 km2 in the northern extent of the Northern Continental Divide Ecosystem (NCDE), whereas systematic and consistent, ecosystem-wide sampling occurred in 2004 and 2009–2012. In total, there were 6160 confirmed grizzly bear detections, leading to the identification of 1115 unique individual genotypes (520 male, 595 female). 
The data contain the genotypes or partial genotypes of those 1115 individuals, with an individual ID, sex, and up to 24 genotyped, codominant loci. The loci represented are; G10J, G1A, G10B, G1D, G10H, G10M, G10P, G10C, CXX110, CXX20, G10L, MU50, MU59, G10U, MU23, G10X, REN145.P07, MSUT2, CPH9, MU51, REN144.A06, MU26, D123, D1A. Each locus is split into two columns, the first of which contains the first allele and the second of which contains the second allele of each genotyped locus for each individual. Values within the columns of each locus represent the size of the alleles.

Tags: genetic-diversity, genotype, glacier-national-park, northern-continental-divide-ecosystem, population-dynamics, usgs-5772add3e4b07657d1a88776
Organization: Department of the Interior
Gene expression and liver cell metabolism from Xenopus laevis tadpoles exposed to neonicotinoids

Data were collected from Xenopus laevis tadpoles exposed to clothianidin and thiamethoxam in two concentrations each, 100 ppm and 20 ppm.  Gene expression was generated from brains and livers, and liver cells provided metabolic activity data.

Tags: amphibians, biota, ecotoxicology, flow-cytometry, louisiana, usgs-5c6469eee4b0fe48cb373e4a, virginia
Organization: Department of the Interior
Topographic Survey Data of Fountain Creek between Colorado Springs and the Confluence of Fountain Creek at the Arkansas River, Colorado, 2016

In 2012, the U.S. Geological Survey (USGS) in cooperation with Colorado Springs Utilities selected 10 reaches or study areas along Fountain Creek between Colorado Springs and the confluence of Fountain Creek at the Arkansas River for annual bed and bank characterization and topographic surveys.  The 10 selected study areas are approximately 5 to 20 bank-full channel widths in length.  The topographic surveys collected point data of location and elevation in the active channel and along both left and right banks and flood plains.  Starting in 2012, USGS personnel have collected topographic survey data annually during the winter, spring, and summer using real-time kinematic Global Navigation Satellite Systems.  These point data are interpolated to a grid which is used to generate annual digital elevation maps of each study area.  These annual maps are used to develop elevation change maps at each study area for each year.  The topographic survey data provide an annual assessment of the geomorphic change at each study area.

Tags: channel-change, colorado, colorado-springs, el-paso-county, flood, fountain, fountain-creek, geomorphology, pueblo, pueblo-county, sediment-transport, topograhic-survey, usgs-5983732fe4b0e2f5d4651e3f
Organization: Department of the Interior
Central Mojave Desert Vegetation Mapping Project, California, 1997-1999: Plots Points and Photographs

The Mojave Plots Points data are 1,219 plot locations in the Central Mojave Desert where  field data were recorded and photographs were taken from 1997-1999 to provide context for the classification of the Central Mojave Desert into various vegetation classes. The 1,219 plot locations in the plots points shapefile (plots_points.shp) are each assigned a unique identifier called the FinalPlotCode. The FinalPlotCode can be used to match the shapefile points to the Mojave Field Data. The attached CSV file (Mojave_Images_Crosswalk.csv) can be used to relate the FinalPlotCodes to the associated photographs that are attached as zipped TIFF images to the ScienceBase page. There are 1,695 total photographs available that were taken at some of the plots included in the plots points shapefile. The number of images available for a given plot ranges from 0-3. The metadata record (Mojave-Vegetation-Mapping_Plots-Points-and-Photographs-Metadata.xml), plots points locations shapefile (zipped shapefile, plots_points.zip), photographs (12 zip folders of TIFF files, Mojave_Images_Plots-##-##.zip) and crosswalk sheet (Mojave_Images_Crosswalk.csv) are all available as attachments on the Plots Points and Photographs ScienceBase page.

Tags: arid-lands, biota, california, california-plants, california-vegetation, china-lake-naval-weapons-center, death-valley-national-park, desert-southwest, ft-irwin-military-reservation, marine-corps-air-ground-combat-center, mojave-desert, mojave-national-preserve, mojave-plants, mojave-vegetation, national-vegetation-classification, north-america, southern-california, special-features, united-states, usgs-5abbbba4e4b081f61abd1052, vegetation, vegetation-alliances
Organization: Department of the Interior