AndreaBozzo/ceres-open-data-index huggingface dataset:
Coastwide Reference Monitoring System (CRMS) 2021 land-water classification data, Western Louisiana

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-63e12107d34e9fa19a9b784d, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, 2015/2016, 2018, and 2021 land-water matrices, Eastern Louisiana

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. 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 six land-water products (2005, 2008, 2012, 2016, 2018, and 2021).  The resulting matrix has 64 possible classes defined by the combination of land and water categories on those six dates.

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-63e1028ad34e9fa19a9b7817, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2021 land-water classification data, Eastern Louisiana

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-63e100efd34e9fa19a9b7808, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Raster surface depicting the top of the low-resistivity interval below the Oldsmar permeable zone

Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system 
were developed to define an updated hydrogeologic framework as part of the U.S. Geological 
Survey Groundwater Resources Program. This feature class contains a gridded surface 
depicting the top of the low-resistivity zone below the OLDSPZ in feet relative to NGVD29.

Tags: alabama, altitude, environment, extent, florida, floridan-aquifer-system, geologic-units, geology, georgia, geoscientificinformation, gridded-surface, hydrogeology, inlandwaters, oldsmar, oldspz, permeable-zone, raster, regional-groundwater-availability-study, regions, south-carolina, stratigraphy, thickness, top, united-states-geological-survey, usgs, usgs-63e3193a-3fb0-40e0-aeb6-00d5d62b5c4f
Organization: Department of the Interior
Water chemistry data for samples collected at groundwater sites in the Santa Maria Valley Oil Field study area, July 2018–March 2019, Santa Barbara County, California

The California State Water Resources Control Board (State Water Board) initiated the Oil and Gas Regional Monitoring Program (RMP) to assess effects of oil and gas development on groundwater designated for any beneficial use. The U.S. Geological Survey (USGS) is the technical lead in conducting the RMP through the California Oil, Gas, and Groundwater (COGG) Program, working in cooperation with the State Water Board, and in partnership with other State and local agencies. The USGS collected and analyzed groundwater and associated quality control (QC) samples in the Santa Maria Valley Oil Field study area during July 2018 – March 2019. Groundwater samples were collected from twenty-one irrigation, one domestic, and three industrial wells located within a five-kilometer buffer zone overlying and surrounding the Santa Maria Valley Oil Field administrative boundary in Santa Barbara County, California. Samples were collected using established groundwater data-collection protocols and procedures. Samples were analyzed for water-quality indicators, major and minor ions, nutrients, trace elements, volatile organic compounds (VOCs), naturally occurring radioactive material, geochemical and age-dating tracers, dissolved organic carbon (DOC), dissolved standard and hydrocarbon gases (methane through hexane), and dissolved noble and atmospheric gases. Two hundred and twenty constituents and water-quality indicators were measured. QC samples collected as part of the Santa Maria Valley Oil Field study included replicates, source-solution blanks, field blanks, laboratory spikes, and split samples for inter-laboratory comparisons.

Tags: aquifers, california, geochemistry, groundwater, groundwater-aquifer, groundwater-quality, inlandwaters, regional-monitoring-program, salinity, salinity-mapping, santa-barbara-county, santa-maria-valley-oil-field, usgs-63dd9987d34e9fa19a9b245c, water-chemistry, water-quality-data
Organization: Department of the Interior
The major, minor, and trace element geochemistry of mineral scales from The Geysers geothermal field, California, USA

This data release provides quantitative whole rock geochemical results from The Geysers vapor-dominated geothermal field in California. The concentrations of major elements are reported in oxide weight percent by wavelength dispersive x-ray fluorescence (WDXRF), the concentrations for sixty elements are reported in elemental weight percent (pct) or parts per million (ppm) from inductively coupled plasma-optical emission spectrometry-mass spectrometry ICP-OES-MS analysis, mercury is reported in ppm by cold vapor atomic absorption spectrometry (CVAAS), and ammonium in ppm from automated colorimetry analysis. The analyses show significant enrichment of volatile elements and elements such as sulfur, boron, arsenic, and mercury. Mineral scales from the Northwest Geysers are characterized by high concentrations of ammonium and mercury while the mineral scales from the Central and Southeast Geysers are enriched in boron, iron and sulfur. The mineral scales from orifice plates and condensers contain significant concentrations of Cr, Ni, Co, Zn, and W which are common contaminants from rusted steel equipment.

Tags: ammonium, arsenic, boron, california, chemical-analysis, cobalt, cold-vapor-atomic-absorption-spectrometry-cvaas, copper, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, geothermal-field, gggsc, inductively-coupled-plasma-optical-emission-spectrometry-mass-spectrometry-icp-oes-ms, iron, lake-county, lead, mercury, mineral-resources, mineral-resources-program, mineral-scales, mineralogy, mrp, nickel, sonoma-county, sulfur, the-geysers, united-states, usgs-63dd8b51d34e9fa19a9ad406, wavelength-dispersive-x-ray-fluorescence-wdxrf, zinc
Organization: Department of the Interior
Semiquantitative mineralogy results from powder X-ray diffraction (XRD) analyses of mineral scales from The Geysers geothermal field, California, USA

This data release provides semiquantitative mineralogy results from X-ray diffraction (XRD) analyses of mineral scales from The Geysers vapor-dominated geothermal field in California. The mineral species and their abundances are reported in weight percent and values have been normalized to total 100 percent for each sample. The X-ray diffraction results show that the mineral samples from the wellheads are primarily composed of ammonium (NH4+) sulfate minerals and sassolite B(OH)3, whereas sulfide minerals such as cinnabar and pyrite are the most abundant minerals observed in the power plants. Mineral scales vary along the steam flow path, from the wellhead to power plants. Relatively abundant iron oxide and iron hydroxide minerals in some mineral scales indicate significant contamination of the scales by rust from steel pipes that transport the geothermal steam.

Tags: california, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, geothermal-field, geothermal-resources, gggsc, lake-county, mineral-resources-program, mineral-scales, mineralogy, mrp, semiquantitative-mineralogy, sonoma-county, the-geysers, united-states, usgs-63dd8aedd34e9fa19a9ad3e9, x-ray-diffraction, xrd
Organization: Department of the Interior
Geochemical data for stream water samples from streams around the Pogo Deposit and Black Mountain Au occurrences, Big Delta quadrangle, Alaska, 2021

This data release is the result of a hydrogeochemical sampling campaign during summer 2021 to investigate whether high resolution geochemical analysis of waters for element chemistry can be used as an exploration tool for identifying gold-rich occurrences in parts of the Big Delta B-1 and B-2 quadrangles, within the Yukon-Tanana Upland region, Alaska.  Historical USGS conventional stream sediment geochemical data yielded variable indications of geochemical anomalies in conventional stream sediment geochemistry results, probably related to relative exposure of mineralized rock. Previous studies of waters in the Pogo area (western part of current study) utilized conventional analytical methods not capable of measuring low concentrations of many elements (Wang et al., 2005).  
In the current study, water samples were collected from 36 stream sample sites, with a focus on streams around Black Mountain to the east and the Pogo Au deposit area to the west.  Both areas have known gold-rich mineral occurrences.  In the eastern Black Mountain area, this included the Gray Lead, Blue Lead, and Michigan prospects, among others (U.S. Geological Survey, 1996).  Sampling in the Pogo area was restricted to streams outside Leise Creek area due to anthropogenic disturbance as part of mining.  Stream water samples were collected in 2021 and analyzed for cation and anion concentrations using high-resolution ICP-MS for cations and ion chromatography (IC) for anions.

Tags: alaska, big-delta, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, high-resolution-inductively-coupled-plasma-mass-spectrometry, hr-icp-ms, ic, ion-chromatography, metallic-mineral-resources, mineral-deposits, mineral-resources-program, mrp, southeast-fairbanks, stream-sediment-geochemistry, stream-water-geochemistry, u-s-geological-survey, unconsolidated-deposits, usgs, usgs-63dd8780d34e9fa19a9ad3d9
Organization: Department of the Interior
2010 Florida West Coast USACE Lidar-Derived Dune Crest, Toe and Shoreline

The Storm-Induced Coastal Change Hazards component of the National Assessment of Coastal Change Hazards project focuses on understanding the magnitude and variability of extreme storm impacts on sandy beaches. Lidar-derived beach morphologic features such as dune crest, toe and shoreline help define the vulnerability of the beach to storm impacts. This dataset defines the elevation and position of the seaward-most dune crest and toe and the mean high water shoreline derived from the 2010 Florida West Coast U.S. Army Corps of Engineers (USACE) lidar survey. Beach width is included and is defined as the distance between the dune toe and shoreline along a cross-shore profile. The beach slope is calculated using this beach width and the elevation of the shoreline and dune toe.

Tags: cmgp, coastal-and-marine-geology-program, coastal-processes, elevation, environment, florida, geoscientificinformation, gulf-of-mexico, hazards, marine-geology, ocean-sciences, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-63dc7c9c-f5aa-4a41-b538-1313665e848f
Organization: Department of the Interior
Land cover classification data for wetland complexes at Dixie Meadows, Nevada from October 2015 to January 2022

These data were compiled to provide satellite remote sensing observations of landcover in the vicinity of wetlands fed by geothermal springs in Dixie Meadows, Nevada, USA. Objectives of the study were to map landcover of water, vegetation, and soil between October 5, 2015, and January 21, 2022, using available imagery from the Sentinel-2 mission. The U.S. Geological Survey's Southwest Biological Science Center (SBSC) and Grand Canyon Monitoring and Research Center (GCMRC) processed 110 Sentinel-2 satellite images representing bottom of atmosphere surface reflectance and classified them within Google Earth Engine (GEE) using threshold values of the Green Normalized Difference Vegetation Index (gNDVI) and its inverse relationship to the Normalized Difference Water Index (NDWI). The classified image data represent the area covered by five distinct landcover types: open water; mixed shallow surface water, saturated soil, and vegetation; dense green vegetation; moist soil with sparse or small vegetation; dry soil with sparse upland vegetation. These data can be used to evaluate the areal extent of each of the landcover types classified in this study as well as changes in the areal extent of these landcover types between October 5, 2015, and January 21, 2022. Additionally, these data may be used as baseline conditions to evaluate future changes in the areal extent of landcover owing to land use changes or climatic fluctuations.

Tags: aquatic-biology, aquatic-ecosystems, aquatic-vegetation, biogeography, biota, bottom-of-atmosphere-surface-reflectance, bureau-of-land-management-lands, churchill-county, classified-image-data, data-release, dense-green-vegetation, department-of-defense-lands, dixie-meadows, dixie-valley, dry-soil-with-sparse-upland-vegetation, ecology, emergent, fallon, geoscientificinformation, geothermal-resources, geothermal-springs, gndvi, green-normalized-difference-vegetation-index, habitats, humboldt-salt-marsh, hydrology, image-analysis, image-collections, imagerybasemapsearthcover, inlandwaters, land-use-change, landcover, mixed-shallow-surface-water-saturated-soil-and-vegetation, moist-soil-with-sparse-or-small-vegetation, naval-air-station-fallon, nevada, open-water, raster-data, remote-sensing, satellite-imagery, sentinel-2-satellite-images, shapefile-data, soil-resources, stillwater-range, upland, usgs-63dc31a4d34e9fa19a98a385, vegetation, water-resources, wetland-complex, wetland-ecosystems
Organization: Department of the Interior
Terrestrial Ecosystems of the Conterminous United States

The U.S. Geological Survey (USGS) modeled the distribution of terrestrial ecosystems for the contiguous United States using a standardized, deductive approach to associate unique physical environments with ecological systems characterized in NatureServe's Ecological Systems of the United States classification (Comer et al., 2003). This approach was first developed for South America (Sayre et al., 2008) and is now being implemented globally (Sayre et al., 2007).
Unique physical environments were delineated from a massive biophysical stratification of the nation into the major structural components of ecosystems: biogeographic regions (Cress et al., 2008c), land surface forms (Cress et al., 2008a), surficial lithology (Cress et al., 2008d), and topographic moisture potential (Cress et al., 2008b). Each of these structural components was mapped for the contiguous United States and then spatially combined to produce ecosystem structural footprints which represented unique abiotic (physical) environments. Among 49,168 unique structural footprint classes, 13,482 classes which met a minimum pixel count threshold (20,000 pixels) were aggregated into 419 NatureServe ecosystems through semi-automated labeling process using rule set formulations for attribution of each ecosystem.
UPDATE:
A newer terrestrial ecosystems datalayer, "World Terrestrial Ecosystems (WTE) 2020", is now available at: https://doi.org/10.5066/P9DO61LP. This datalayer is a global raster dataset at a 250 m spatial resolution where 431 ecosystem types are identified and mapped. Each ecosystem type is a unique combination of vegetation/land cover, climate region, and landform.

Tags: bioclimate, biogeography, biophysical-stratification, conterminous-united-states, ecosystem, geo, geological-survey, geoss, global-earth-observation-system-of-systems, group-on-earth-observations, land-cover, landforms, lithology, mesoscale, surface-moisture, united-states-geological-survey, united-states-of-america, usgs, usgs-63dc2f7ad34e9fa19a98a377
Organization: Department of the Interior
Native Species Response to 100 HP boat motor acoustic stimulus

This dataset includes the behavioral fish data needed to assess the responses of Upper Mississippi River fishes to an acoustic stimulus (i.e., playback of a 100 hp boat motor). Native ostariophysians (bigmouth buffalo Ictiobus cyprinellus, channel catfish Ictalurus punctatus, and fathead minnow Pimephales promelas), invasive ostariophysians (bighead carp Hypophthalmichthys nobilis, common carp Cyprinus carpio, grass carp Ctenopharyngodon idella, and silver carp Hypophthalmichthys molitrix), and native non-ostariophysians (American eel Anguilla rostrata, gizzard shad Dorosoma cepedianum, hybrid striped bass Morone saxatilis, lake sturgeon Acipenser fulvescens, and paddlefish Polyodon spathula) were exposed to a playback of a 100 hp boat motor sound in indoor tanks, and their behavior was monitored for negative phonotaxis and changes in behavior.

Tags: acoustic-deterrent, biota, fish-behavior, invasive-species, mississippi-river, usgs-63dc1790d34e9fa19a98a193
Organization: Department of the Interior
Survival, growth, and chemical data from a study on influences of water hardness on chronic toxicity of potassium chloride to a Unionid mussel (Lampsilis siliquoidea)

The objective of this study was to evaluate the chronic toxicity of potassium  (tested as KCl) to a commonly tested unionid mussel (fatmucket, Lampsilis siliquoidea) at five water hardness levels (25, 50, 100, 200, 300 mg/L as CaCO3) representing most surface waters in the United States. Chronic 28-d potassium chloride toxicity tests were conducted with 3-week-old juvenile fatmucket using six concentrations of potassium in the five base waters of differing hardness using ASTM standard methods. In this data release we report individual survival, mass, and length along with chemical and water quality measurements.

Tags: aquatic-biology, biota, ecotoxicology, freshwater-mussels, potassium, usgs-63dc0307d34e9fa19a98a134, water-hardness, water-quality-criteria
Organization: Department of the Interior