AndreaBozzo/ceres-open-data-index huggingface dataset:
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on June 23, 2021, from Jupiter Island, Florida

On June 23, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210623.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: altimetry, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-navigation-satellite-system-gnss-observations, gnss-measurement, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg, south-atlantic, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states, usgs, usgs-b5c6eb26-ebc4-4ae4-b16d-381a2b9ee5f4
Organization: Department of the Interior
Airborne geophysical survey: Northwest Illinois, Illinois

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, f17011-bureau, f17015-carroll, f17073-henry, f17085-jo-daviess, f17103-lee, f17141-ogle, f17161-rock-island, f17177-stephenson, f17195-whiteside, f17201-winnebago, f19045-clinton, f19061-dubuque, f19097-jackson, f19163-scott, f55043-grant, f55045-green, f55065-lafayette, f55105-rock, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, il, illinois, magnetic, magnetic-field-earth, magnetic-surveys, northwest-illinois, residual-magnetic-field, total-field, united-states, usgs-2eca648b-ff2a-4ddb-8908-eabcffd969b4
Organization: Department of the Interior
Projected Seafloor Elevation Along the Florida Reef Tract From Big Pine Key to Marquesas Key, Florida-100 Years From 2011 Based on Historical Rates of Mean Elevation Change

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify the combined effect of all constructive and destructive processes on modern coral reef ecosystems by projecting future regional-scale changes in seafloor elevation for several sites along the Florida Reef Tract, Florida (FL) including the shallow seafloor along Key West, FL. USGS staff used historical bathymetric point data from the 1930's (National Oceanic and Atmospheric Administration (NOAA) Office of Coast Survey, see Yates and others, 2017) and light detection and ranging (lidar)-derived data acquired in 2002 (Brock and others, 2006, 2007) to calculate historical seafloor elevation changes in the Upper Florida Keys (UFK) (Yates and others, 2017). Using those changes in seafloor elevation, annual rates of elevation change were calculated for 13 habitat types found in the UFK reef tract. The annual rate of mean elevation change for each habitat type was applied to a digital elevation model (DEM) extending from Big Pine Key to Marquesas Key, FL that was modified from the NOAA National Centers for Environmental Information (NCEI) Key West coastal DEM (NOAA, 2011) to project future seafloor elevation (from 2011) along the Key West section of the Florida Reef Tract. Grid resolution for the DEM is 1/3 arc second (approximately 10 meters).

Tags: altimetry, big-pine-key, coelenterates, digital-elevation-models, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, elevation, elevation-change, florida, florida-keys, florida-reef-tract, geoscientificinformation, key-west, lidar, lidar-gt-light-detection-and-ranging, marine-geology, marquesas-keys, ocean-gt-bathymetry-seafloor-topography-gt-water-depth, ocean-gt-coastal-processes-gt-coastal-elevation, ocean-gt-coastal-processes-gt-coral-reefs, ocean-gt-coastal-processes-gt-erosion, ocean-gt-coastal-processes-gt-sea-level-rise, oceans, reef-ecosystems, sea-floor-characteristics, sea-level-change, sea-level-rise, seafloor, seafloor-accretion, seafloor-elevation, seafloor-erosion, submerged, submerged-topography, usgs-d8d12e71-2bcd-45a8-a46a-954eed6ba276
Organization: Department of the Interior
Flood inundation map geospatial datasets for Lake Ontario, New York

Static flood inundation boundary extents were created along the entire shoreline of Lake Ontario in Cayuga, Jefferson, Monroe, Niagara, Orleans, Oswego, and Wayne Counties in New York by using recently acquired (2007, 2010, 2014, and 2017) light detection and ranging (lidar) data. 
The flood inundation maps, accessible through the USGS Flood Inundation Mapping Program website at https://www.usgs.gov/mission-areas/water-resources/science/flood-inundation-mapping-fim-program, depict estimates of the areal extent and water depth of shoreline flooding in 8 segments corresponding to adjacent water-surface elevations (stages) at 8 USGS lake gages on Lake Ontario. 
This item includes data sets for segment E - Lake Ontario at Sodus Point, NY (station number 0423207760).
These datasets demonstrate the estimated extent and depth of lake flooding at specific water levels of 1-foot increments from 247.0 ft to 251.0 ft (International Great Lakes Datum of 1985). In this study, wind and seiche effects were not represented; therefore, the flood inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
In this study, wind and seiche effects were not represented; therefore, the flood-inundation maps reflect five stages for Lake Ontario that are static for the entire shoreline area of the lake.
This item is a package of flood inundation data for segment E - Lake Ontario at Sodus Point, NY (station number 0423207760) including:
1) 1 shapefile showing 5 estimated flood extents as polygons,
2) 5 raster datasets showing the depth of the water at 5 flood stages,
3) 1 shapefile showing the study limit extent of segment E, and
4) a metadata file.
The polygon flood extent shapefiles were developed from digital elevation models (DEMs) derived from the lidar to represent the estimated areal extent for five flood stages for segment E. 
The raster files depict the depth, in feet (referenced to the International Great Lakes Datum of 1985), of the water in the inundated areas along the shoreline of Lake Ontario during the five theoretical flood stages. 
The depth grids were created by subtracting the digital elevation model (DEM) values (in feet) from each of five raster files representing the flood extent at each constant water level (in feet). An approximately 100-meter buffer was used as the extent into the lake.

Tags: flood, flood-inundation-maps, flooded-areas, flooding, lake-ontario, new-york, usgs-6042a8b9d34eb1203119dadf, water-depth, wayne-county-ny
Organization: Department of the Interior
Masks

This child item contains files representing Particle Image Velocimetry (PIV) processing masks which excluded regions of invalid velocities from the PIV results. Masks typically are used to screen out velocities or prevent the creation of velocities for regions of an image where computed PIV velocities would be nonsensical or invalid. For example, near or on the channel banks, where a tree overhangs the channel, or the presence of a boat or other object in the water. By using masks, these regions can be excluded from analysis. The PIVLab software allows for the designation of a rectangular Region of Interest (ROI). For five of the field sites, which were located at engineered canals, a rectangular ROI was sufficient to exclude areas in an image scene which were invalid such as the channel banks. However, for three of the sites located in natural rivers, a rectangular ROI was not sufficient to screen invalid regions in the image, so polygonal masks were used in conjunction with the ROIs to segment valid regions for the PIV analysis. 
&lt;br&gt;
The mask files included here are named with a prefix indicating which field site the mask is for. In two of the sites, multiple masks were used. Mask files are simple, headerless comma-delimited text files consisting of x,y pixel coordinate pairs which outline a polygon on the PIV image.
&lt;br/&gt;
Each Field Site is abbreviated in various files in this data release. File and folder names are used to quickly identify which site a particular file or dataset represents. The following abbreviations are used for masks:
&lt;ul&gt;
&lt;li&gt;ACR: Androscoggin River, Auburn, Maine, USA&lt;/li&gt;
&lt;li&gt;AFR: Agua Fria River, near Rock Springs, Arizona, USA&lt;/li&gt;
&lt;li&gt;GLR: Gila River near Dome, Arizona, USA&lt;/li&gt;
&lt;/ul&gt;

Tags: acoustic-doppler-current-profiling, aerial-video, agua-fria-river-maricopa-county-arizona-usa, androscoggin-river-androscoggin-county-maine-usa, auburn-androscoggin-county-maine-usa, coachella-canal-imperial-county-california-usa, cochiti-lake-reservoir-sandoval-county-new-mexico-usa, cochiti-main-canal-cochiti-lake-sandoval-county-new-mexico-usa, drone, gila-river-yuma-county-arizona-usa, great-falls-androscoggin-county-maine-usa, hydrographic-datasets, imperial-valley-imperial-county-california-usa, inlandwaters, kinter-yuma-county-arizona-usa, remote-sensing, reservation-main-canal-imperial-county-california-usa, stream-discharge, stream-gage-measurement, streamflow, suas, unmanned-aircraft-system, unoccupied-aircraft-system, usgs-61eb31aad34e8b818ada9149, usgs-science-data-catalog-sdc, videography, water-resources
Organization: Department of the Interior
Biogeochemical and microbial data from microcosm experiments using wetland sediment to investigate the influence of antibiotics and a nitrification inhibitor in agricultural run-off on N-cycling processes, 2019-2020.

Wetlands are frequently used in the U.S. for treating nitrate in agricultural runoff. However, numerous other biologically active contaminants, such as antibiotics and nitrification inhibitors, regularly co-occur with nitrate and many can affect the efficiency of nitrate removal. This project evaluated the discrete and combined effects of specific veterinary and human antibiotics and a common nitrification inhibitor (nitrapyrin) on nitrate-N treatment efficiency in saturated sediments and floating treatment wetlands. Sediment and water samples were collected from 3 locations at the USDA Meat Animal Research Facility near Clay Center NE in August 2019 for assessment of background conditions in order to determine the ideal collection site for future microcosm experiments to quantify rates of N-cycling activity in sediments. The sites ranged in historical exposure to inhibitors from (1) little to no relative historical exposure (Control site) (2) moderate relative historical exposure (Grade Control Structure 5), and (3) heavy relative historical exposure to antibiotic runoff from agricultural and cattle grazing land (Reuse Pit (RP)). Laboratory microcosm experiments were then initiated in December 2019 using sediment collected from the historically high exposure site (Reuse Pit) only and an artificial water prepared based on chemistry of the water measured in August 2019. One set of microcosms was amended with an antibiotic mixture (chlortetracycline, sulfadimethoxine, lincomycin, monensin) and another set with nitrapyrin. The targeted range of concentrations for both sets was 0 to 1000 microgram per L.  Sediments were exposed to the inhibitors for 3 weeks prior to initiation of the experiments to ensure the microbial communities were affected by the presence of the inhibitors. Anaerobic denitrification and aerobic nitrification potential rates were then quantified after the 3-week exposure period, and samples were collected for microbial community structure and gene abundance. Background sediments from August and December 2019 collections were characterized for potassium chloride extractable nitrogen species, total percent carbon and nitrogen content, microbial community composition, and gene abundance. And background water chemistry was measured from both collections. Data from the N-cycling measurements, molecular analyses, inhibitor concentrations, and background sediment and water characterization are documented in this data release.

Tags: agricultural, ammonium, antibiotics, clay-center, denitrification, inhibitor, marc, microcosm, nebraska, nitrapyrin, nitrate, nitrification, nitrite, nitrogen, usda, usgs-609d33a5d34ea221ce3c692b
Organization: Department of the Interior
Summer Mean Enhanced Vegetation Index for the Diamond Valley Flow System Groundwater Discharge Area, Central Nevada, 2010

These data were created as part of a hydrologic study to characterize groundwater budgets and water quality 
in the Diamond Valley Flow System (DVFS), central Nevada. This dataset represents the mean Enhanced 
Vegetation Index (EVI) of two Landsat 5 Thematic Mapper scenes from the summer of 2010 in the DVFS. 
The data were used to evaluate and estimate groundwater discharge by evapotranspiration by relating the 
mean of EVI calculated from July 24 and August 25, 2010 Landsat scenes to evapotranspiration measured 
at 4 eddy-covariance sites located in phreatophytic vegetation of varying types and densities in Kobeh Valley, 
Nevada. Evapotranspiration was extrapolated for all valleys in the study area using the relation developed 
for Kobeh valley.

Tags: antelope-valley, biota, diamond-valley, elko-county, enhanced-vegetation-index, et, eureka-county, evaporation, evapotranspiration, evi, great-basin, imagerybasemapsearthcover, inlandwaters, kobeh-valley, lander-county, monitor-valley-northern-part, monitor-valley-southern-part, nevada, nye-county, transpiration, usgs-bfa41ad6-adcb-4289-9302-1f01a9e29fb5, vegetation-index
Organization: Department of the Interior
Gridded uniform hazard peak ground acceleration data and 84th-percentile peak ground acceleration data used to calculate the Maximum Considered Earthquake Geometric Mean (MCEG) peak ground acceleration (PGA) values of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard for Guam and the Northern Mariana Islands.

The Maximum Considered Earthquake Geometric Mean (MCEG) peak ground acceleration (PGA) values of the 2020 NEHRP Recommended Seismic Provisions and 2022 ASCE/SEI 7 Standard are derived from the downloadable data files.  For each site class, the MCEG peak ground acceleration (PGA_M) is calculated via the following equation:
PGA_M = min[ PGA_MUH, max( PGA_M84th , PGA_MDLL ) ]
where
PGA_MUH = uniform-hazard peak ground acceleration
PGA_M84th = 84th-percentile peak ground acceleration
PGA_MDLL = deterministic lower limit spectral acceleration

Tags: 2020, 2020-nehrp, 2022, 2022-asce-sei-7, earthquakes, engineering-sciences, guam, hazards, northern-mariana-islands, risk, seismic, seismology, standards, united-states, usa, usgs-5e71c880e4b01d50926891b1
Organization: Department of the Interior
Hawai'i NHM by-HRU mean-monthly calibration targets derived from GCM simulations, 1980–2022

This data release contains inputs for and outputs from hydrologic simulations for the Hawai‘i (HI) domain using the Precipitation Runoff Modeling System (PRMS) version 5.2.1.1 and the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018). This child item holds GIS layers and methodology to make mean-monthly calibration targets (baselines) for the HI domain, as was used in the "byHRU" calibration. Global Circulation Model (GCM) data from National Aeronautics and Space Administration (NASA) were processed into 10 mean-monthly global datasets (Koczot and others, 2025) and stored in NetCDF format ( .nc file extension; https://www.unidata.ucar.edu/software/netcdf/ ). Using these datasets, mean-monthly values were computed for each hydrologic response unit (HRU) in the HI domain (Bock and others, 2024). Resulting data are used as calibration targets for the HI NHM-PRMS model application. 
DATA TYPE DESIGNATION:
Data layers are labeled according to type, as shown below:
ID       Data Type
1. AET     Actual evapotranspiration
2. GW     Groundwater (really baseflow) component of total runoff.
3. PET     Potential evapotranspiration
4. SCA    Snow-cover area (fraction of cell area) from NASA FLDAS.
5. SM      Soil moisture
6. SR      Solar radiation
7. SRO   Surface runoff
8. SSR   Subsurface runoff.
9. SWE  Snow-water equivalent
10. SWI  Soil-water infiltration
CONTENTS OF THIS CHILD PAGE:
1. HI_HRU_baseline_targets.zip = Folder containing the 10 mean-monthly calibration target shapefiles files used in the by-HRU calibration step for each of the data types defined above.

Tags: hawaii, hydrology, kahoolawe, kauai, lanai, location, maui, model, molokai, niihau, oahu, streamflow, streamflow-modeling, usgs-6570ad7fd34e952b2273ef36, water-resources
Organization: Department of the Interior
Potential range land for grazing cattle in the United States Pacific Northwest summarized for NHDPlus v2 catchments

This spatial data set was created by the U.S. Geological Survey (USGS) to represent the area of land 
within each incremental watershed delineated in the NHDPlus v2 dataset in the Pacific Northwest 
region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)) that potentially received 
waste from grazing cattle in 2002.

Tags: grazing, idaho, inlandwaters, major-river-basins, montana, nawqa, oregon, pacific-northwest, pnw, rangeland, sparrow, usgs-d019d092-7fd1-4cad-a183-dcd1fba4cd9e, washington
Organization: Department of the Interior
Acute toxicity of sodium chloride and potassium chloride to a unionid mussel (Lampsilis siliquoidea) in water exposures-Data

Attributes regarding the acute toxicity of sodium chloride (NaCl) and potassium chloride (KCl) to larvae (glochidia) or juveniles of a unionid mussel (fatmucket, Lampsilis siliquoidea) at various water hardness and in the presence of other major ions.

Tags: acute-toxicity, biota, freshwater-mussels, mussels, toxicity, toxicity-testing, usgs-5bd21426e4b0b3fc5ce31d9e, water-chemistry, water-quality-standards
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 -- Points for the thickness of the OCAPLPZ

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 points 
depicting the thickness of the OCAPLPZ.

Tags: alabama, environment, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, hydrogeology, inlandwaters, low-permeability, low-permeability-zone, ocala-avon-park, ocaplpz, regional-groundwater-availability-study, south-carolina, stratigraphy, thickness, united-states-geological-survey, usgs, usgs-86164d5e-294d-4f5b-b1f3-bf5a674fefd2
Organization: Department of the Interior
Assessment of nutrients and water-quality constituents in the North Delta during Yolo Bypass flooding events in March 2017

The data release contains data for the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta in the Sacramento-San Joaquin River Delta of California, USA. The data set includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, turbidity, and chlorophyll. Data-collection cruises were conducted over two days in March 2017 during a high flow event  when Sacramento Valley flood waters inundate the Yolo Bypass.

Tags: biogeochemistry, biota, cache-slough, california, central-valley, delta, drinking-water-use, environment, high-resolution, hydrogeology, inlandwaters, lower-sacramento, nutrient-content-water, nutrients, phytoplankton, public-supply-water-use, real-time, sacramento-river, sacramento-san-joaquin-delta, statistical-analysis, united-states, usgs-5f5ff87582ce3550e3bff547, visualization-methods, water-quality, yolo-bypass
Organization: Department of the Interior
Projected Seafloor Elevation Along the Florida Reef Tract From Big Pine Key to Marquesas Key, Florida-100 Years From 2011 Based on Historical Rates of Mean Erosion

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify the combined effect of all constructive and destructive processes on modern coral reef ecosystems by projecting future regional-scale changes in seafloor elevation for several sites along the Florida Reef Tract, Florida (FL) including the shallow seafloor along Key West, FL. USGS staff used historical bathymetric point data from the 1930's (National Oceanic and Atmospheric Administration (NOAA) Office of Coast Survey, see Yates and others, 2017) and light detection and ranging (lidar)-derived data acquired in 2002 (Brock and others, 2006, 2007) to calculate historical seafloor elevation changes in the Upper Florida Keys (UFK) (Yates and others, 2017). Using those changes in seafloor elevation, annual rates of erosion were calculated for 13 habitat types found in the UFK reef tract. The annual rate of mean erosion for each habitat type was applied to a digital elevation model (DEM) extending from Big Pine Key to Marquesas Key, FL that was modified from the NOAA National Centers for Environmental Information (NCEI) Key West coastal DEM (NOAA, 2011) to project future seafloor elevation (from 2011) along the Key West section of the Florida Reef Tract. Grid resolution for the DEM is 1/3 arc-second (approximately 10 meters).

Tags: altimetry, big-pine-key, coelenterates, digital-elevation-models, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, elevation, elevation-change, florida, florida-keys, florida-reef-tract, geoscientificinformation, key-west, lidar, lidar-gt-light-detection-and-ranging, marine-geology, marquesas-keys, ocean-gt-bathymetry-seafloor-topography-gt-water-depth, ocean-gt-coastal-processes-gt-coastal-elevation, ocean-gt-coastal-processes-gt-coral-reefs, ocean-gt-coastal-processes-gt-erosion, ocean-gt-coastal-processes-gt-sea-level-rise, oceans, reef-ecosystems, sea-floor-characteristics, sea-level-change, sea-level-rise, seafloor, seafloor-accretion, seafloor-elevation, seafloor-erosion, submerged, submerged-topography, usgs-c68a5366-d2aa-4505-83b5-d9564e716133
Organization: Department of the Interior