AndreaBozzo/ceres-open-data-index huggingface dataset:
GIS shapefile: Charlotte County, Florida irrigated agricultural land-use for the 2018 growing season (ver. 1.1, May 2019)

This data set consists of a detailed digital map of the areal extent of fields and a summary of the  irrigated acreage for the 2018 growing season developed for Charlotte County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.

Tags: boundaries, crop-type, environment, farming, florida-department-of-agriculture-and-consumer-service, groundwater, irrigation-type, landuse, landuse-classification-codes, orthoimagery, south-florida-water-management-district, southwest-florida-water-management-district, surface-water, usgs-5ae0c995e4b0e2c2dd2ea28d
Organization: Department of the Interior
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016

This data provides an estimated raster surface of dissolved oxygen values across a region covered by an August 24, 2016 AUV survey.  The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set.  This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods.  During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.

Tags: autonomous-underwater-vehicle, brown-creek, connetquot-river, estuarine-processes, great-south-bay, hydrology, long-island, nicoll-bay, oxygen-content-water, patchogue-bay, salinity, south-shore-estuary-reserve, usgs-5a9e9f44e4b0699060731475, water-ph, water-quality, water-resource-management, water-temperature
Organization: Department of the Interior
Examination of contaminant exposure and reproduction of ospreys (Pandion haliaetus) nesting in Delaware Bay and River in 2015

Reproductive Data for All Nests Monitored; Data for Mayfield Analysis; Eggshell thickness, nestling morphological measurements, nestling plasma stable isotopes, and nestling red blood cell oxidative DNA damage; Egg organochlorine pesticide, total PCB, flame retardants, and PCB toxic equivalent concentrations; Fish capture by osprey; Fish pools and size for contaminant analysis; Fish organochlorine pesticide, total PCB and flame retardants concentrations; Data for estimation of p,p’-DDE and total PCB biomagnification from fish to osprey eggs

Tags: biomagnification, bristol-pa, contaminant-exposure, delaware-bay, delaware-river, environmental-health, fish, indian-river-inlet-de, osprey, reproductive-success, usgs-5a9e9290e4b069906073146a, wildlife
Organization: Department of the Interior
Multimetric Index macroinvertebrate values from the Fountain Creek Basin, Colorado, 2005–2016

These data have been collected as part of a cooperative project in between the U.S. Geological Survey Colorado Water Science Center, Colorado Springs Utility, and Colorado Springs Engineering. This project began in 2005 and has collected macroinvertebrate samples from Fountain Creek and its tributaries to monitor the biological condition of this watershed. Provided in this data release are Multimetric Index (MMI) values of aquatic macroinvertebrate assemblages using four different sampling methods. There are two subsets of these data included: (1) MMI values of macroinvertebrate data collected from 2010 to 2012 at 15 sites as part of an invertebrate sample method comparison Scientific Investigations Report (SIR) titled “Comparability among Four Invertebrate Sampling Methods and the Recalibrated Multimetric Index Values, Fountain Creek Basin, Colorado, 2010 – 2012”, and (2) all the MMI values from macroinvertebrate data collected at 34 sites from 2005 to 2016. This USGS data release contains all the data and files to reproduce results of the SIR.  Data preparation of these data files is fully described in the SIR.

Tags: aquatic-invertebrates, biological-monitoring, biota, great-plains, rocky-mountain-transition-zone, urban-streams, usgs-5a9de072e4b0699060718a80
Organization: Department of the Interior
Sample collection information, single nucleotide polymorphism, and microsatellite data for white-tailed ptarmigan across the species range generated in the Molecular Ecology Lab during 2016

This data release comprises a dataset that contains sample collection information and microsatellite genotypes, and another dataset that contains single nucleotide polymorphism (SNP) genotypes with sample collection information for populations of white-tailed ptarmigan across the species' range.  There is also an additional file (accession numbers.xlsx) linking samples to accession numbers in Genbank. 
This data was collected in order to address the following:
The delineation of intraspecific units that are evolutionarily and demographically distinct is an important step in the development of species-specific management plans. Neutral genetic variation has served as the primary data source for delineating units for conservation, but with recent advances in genomic technology, we now have an unprecedented ability to utilize information about neutral and adaptive variation across the entire genome. Here, we use traditional genetic markers (microsatellites) and a newer reduced-representation genomic approach (single nucleotide polymorphisms) to delineate distinct groups of white-tailed ptarmigan (Lagopus leucura), an alpine-obligate species that is distributed in naturally fragmented habitats from Alaska to New Mexico.

Tags: alaska, alberta, biological-population-management, biota, british-columbia, colorado, genetic-diversity, microsatellites, montana, mt-evans, new-mexico, rocky-mountain-national-park, usgs-5a9dc7ece4b06990607188ca, utah, vancouver, washington, yukon-territory
Organization: Department of the Interior
Bathymetric data for Clearwater Lake near Piedmont, Missouri, 2017

Clearwater Lake, on the Black River near Piedmont in Reynolds County, Missouri, was constructed in 1948 and is operated by the U.S. Army Corps of Engineers for flood-risk reduction, recreation, and fish and wildlife habitat. The lake area is about 1,800 acres with about 34 miles of shoreline at the conservation pool elevation of 498 feet. Periodically, many lakes operated by the U.S. Army Corps of Engineers have bathymetric and sediment surveys to monitor the status of the lake. In May 2017, the U.S. Geological Survey, in cooperation with the U.S. Army Corps of Engineers, surveyed the bathymetry of Clearwater Lake to prepare an updated bathymetric map and surface area and capacity table. A previous survey completed in 2008 was contrasted with the 2017 survey to document the changes in the bathymetric surface of the lake.
Data sets included are the bathymetric data points collected during the 2017 bathymetric survey. There are two data sets included: the multibeam data (averaged to 3.28 feet) that was used as the source of points to create the bathymetric surface and the raw multibeam data from 4 selected resurvey areas that was used as quality assurance data to test the accuracy of the 3.28-feet spacing data points.
Richards, J.M., and Huizinga, R.J., 2018, Bathymetric contour map, surface area and capacity table, and bathymetric difference map for Clearwater Lake near Piedmont, Missouri, 2017: U.S. Geological Survey Scientific Investigations Map 3409, 1 sheet, https://doi.org/10.3133/sim3409.

Tags: bathymetry, bathymetry-and-elevation, clearwater-lake, multibeam, multibeam-sonar, reynolds-county, state-of-missouri, u-s-army-corps-of-engineers, u-s-geological-survey, usace, usgs, usgs-5a9d9fd3e4b06990607187a5
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr305

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, colorado-plateau, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, time-series, tipper, usgs-5ada0ecde4b0e2c2dd28d2c4
Organization: Department of the Interior
Land-water classification for selected sites in McFaddin NWR and J.D. Murphree WMA

Land-water data was derived from imagery acquired at 350 feet using unmanned aerial systems (UAS) for 6 separate study locations using the Ricoh GR II camera.  Three sites are healthy marsh and three sites are degraded marshes.  For each study site, ground control markers were established and surveyed in using Real Time Kinematic (RTK) survey equipment.  The imagery collected has been processed to produce  a land-water classification dataset for scientific research.  The land-water data will not only quantify how much marsh is being affected, but the data will also provide a spatial aspect as to where these degrading marsh fragmentations are occurring.  The land-water data will be correlated with other data such as salinity, prescribed burns, flooding frequency and flooding duration data to better understand what events may be causing marsh deterioration.  With low resolution, vegetation types do not cause any troubling issues with classification but due to the high resolution of the imagery (1.18 inches/0.03 meters) there will be inherent “noise” that causes speckling throughout the classified image.  With the image resolution at such a small Ground Sample Distance (GSD), the smallest of information will be visible.  These small pieces of information that we call “noise” will be introduced into our image classification and will mostly come from vegetation shadows and some water saturation.  In this study, we are attempting to identify hollows which are low areas or holes in the vegetation which may suggest a degradation of adjacent marsh.  For our study analysis, a hollow is defined as an area that is .25m * .25m = 0.0625m2 (69 pixels) or greater.  Any cluster of cells smaller than 69 pixels will be absorbed into the surrounding vegetation type. This method will help reduce noise and maintain confidence in the hollow identification.

Tags: j-d-murphree-wma, mcfaddin-j-d-murphree, mcfaddin-nwr, usgs-5a997023e4b06990606f6734
Organization: Department of the Interior
Time-series data on currents, waves, and turbidity off Santa Cruz, CA, 2014-2015

Time series data of water surface elevation, wave height, currents, and turbidity were acquired during the winters of 2014-2015 and 2015-2016 in support of a study on the morphological change of rippled scour depressions off Santa Cruz, CA. One set of instruments (SCW) was mounted at the end of Santa Cruz Municipal Wharf during both winters. Another set of instruments (M1T) was deployed offshore in Monterey Bay each winter; the two offshore winter locations were different, but each were about 0.5 km offshore of Point Santa Cruz.

Tags: acoustic-doppler-current-profiling, cmgp, coastal-and-marine-geology-program, field-inventory-and-monitoring, geoscientificinformation, monterey-bay, ocean-currents, ocean-waves, oceans, optical-methods, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, point-santa-cruz, santa-cruz, santa-cruz-municipal-wharf, state-of-california, time-series-datasets, u-s-geological-survey, usgs, usgs-5a986f12e4b06990606dde9d, water-column-features, water-level-measurements, wave-observations
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: average conditions in Channel Islands

Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception to include the Channel Islands. Please read the Summary of Methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, channel-islands, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, state-of-california, storm-surge, storms, usgs-5a9843bae4b06990606ddcb0, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: 20-year storm in Channel Islands

Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception to include the Channel Islands. Please read the Summary of Methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, channel-islands, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, state-of-california, storm-surge, storms, usgs-5a984372e4b06990606ddca9, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: 100-year storm in Channel Islands

Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception to include the Channel Islands. Please read the Summary of Methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, channel-islands, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, state-of-california, storm-surge, storms, usgs-5a9840fae4b06990606ddc8e, water-depth, waves, wind
Organization: Department of the Interior
Geospatial datasets of AUV observations including bottom dissolved oxygen in Great South Bay, Long Island, New York, August 2016

This data provides an interpolated raster surface of dissolved oxygen values across a region covered by an August 25, 2016 AUV survey.  The raster was generated by using a natural neighbors interpolator within a GIS on the empirical data set.  This interpolator was chosen due to the non-normal distribution observed among the data, and its ability to produce smoother approximations than alternative interpolation methods.  During the August 24 survey, 13,910 data points were collected. A subset of 4452 (25%) random points were removed prior to interpolation to check for the accuracy of the interpolated surface.

Tags: autonomous-underwater-vehicle, brown-creek, connetquot-river, estuarine-processes, great-south-bay, hydrology, long-island, nicoll-bay, oxygen-content-water, patchogue-bay, salinity, south-shore-estuary-reserve, usgs-5a9e9f52e4b0699060731477, water-ph, water-quality, water-resource-management, water-temperature
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 water-level projections: average conditions in the Channel Islands

Model-derived total water levels (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception to include the Channel Islands. Please read the Summary of Methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, channel-islands, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, state-of-california, storm-surge, storms, usgs-5a9840d0e4b06990606ddc89, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 water-level projections: 100-year storm in the Channel Islands

Model-derived total water levels (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception to include the Channel Islands. Please read the Summary of Methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, channel-islands, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, state-of-california, storm-surge, storms, usgs-5a984077e4b06990606ddc7e, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 ocean-currents projections: average conditions in the Channel Islands

Model-derived ocean current velocities (in meters per second) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception to include the Channel Islands. Please read the Summary of Methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, channel-islands, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, state-of-california, storm-surge, storms, usgs-5a984049e4b06990606ddc79, water-depth, waves, wind
Organization: Department of the Interior