AndreaBozzo/ceres-open-data-index huggingface dataset:
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on June 15, 2021, from Melbourne Beach, Florida

On June 15, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20210615.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-2c5f13c7-e5ec-4533-b792-bef1c0c33699
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 0642 Land-Water Matrix

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

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-593876e3e4b0764e6c5d6c7f, wetland
Organization: Department of the Interior
Chance of damage from an earthquake in 2017 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural  earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2017. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  It represents the chance of experiencing damaging earthquakes for fixed ground shaking levels that corresponds with MMI = VI.  The values are obtained by averaging the probability of experiencing MMI = VI based on a peak ground acceleration value of 0.1155 g for site class D, and the probability of experiencing MMI = VI based on 1.0-second spectral acceleration value of 0.102 g for site class D.  The data are for the Central and Eastern United States and are based on the one-year model described above.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-58a1eba0e4b0c8251285662c, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Estimates of herbicide use for the forty-first through the sixtieth most-used herbicides in the conterminous United States

This coverage contains estimates of herbicide use for the forty-first
through the sixtieth most-used herbicides in the conterminous United States
as reported in Gianessi and Puffer (1991). Herbicide-use estimates in this
coverage are reported for each county polygon as acres treated, pounds of
active ingredient used, and pounds used per square mile.
The herbicide-use estimates provided by Gianessi and Puffer (1991) list
acres treated and pounds of active ingredient applied for a given crop
in each county for which use has been estimated. Cropping data are from the
1987 Census of Agriculture, and are subject to occasional suppressions of
acreage estimates at the county level due to problems of confidentiality
and census disclosure rules. The herbicide-use estimates included in
this coverage are totals of use on all crops treated in a given county.
The polygons representing county boundaries in the conterminous United
States, as well as lakes, estuaries, and other nonland-area features
were derived from the Digital Line Graph (DLG) files representing the
1:2,000,000-scale map in the National Atlas of the United States (1970).
Herbicides
Herbicide use
Counties
United States

Tags: environment, geoscientificinformation, herbicide-use-estimates-for-counties-in-the-united-states, inlandwaters, usgs-ba65093c-967d-4944-b860-626a3f710573
Organization: Department of the Interior
Wind rose plots for the volcano: 312190  Griggs

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d0158be4b0236b68f52f98, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Airborne geophysical survey: Medfra

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-8de6ebd9-9bfe-4a5b-88b7-e17f517427fd
Organization: Department of the Interior
Biomarkers of laboratory-exposed Northern Leopard frogs to neonicotinoids: DNA cell cycle, fragmentation, and genome size

Data were collected on whole blood DNA parameters including cell cycle, DNA fragmentation, and genome size obtained from Northern leopard frogs exposed to neonicotinoid insecticides in the laboratory. Data consist of flow cytometry files that were generated in the analysis of the frog blood.

Tags: amphibians, biota, contamination-and-pollution, ecotoxicology, flow-cytometry, pesticide-and-herbicide-contamination, usgs-606de1f2d34eae125e9c75be, water-quality
Organization: Department of the Interior
Faults--Offshore of Aptos Map Area, California

This part of DS 781 presents data for the faults for the geologic and geomorphic map of the Offshore Aptos map area, California. The vector data file is included in "Faults_OffshoreAptos.zip," which is accessible from https://doi.org/10.5066/F7K35RQB. These data accompany the pamphlet and map sheets of Cochrane, G.R., Johnson, S.Y., Dartnell, P., Greene, H.G., Erdey, M.D, Dieter, B.E., Golden, N.E., Hartwell, S.R., Ritchie, A.C., Kvitek, r.G., Maier, K.L., Endris, C.A., Davenport, C.W., Watt, J.T., Sliter, R.W., Finlayson, D.P., and Krigsman, L.M., (G.R. Cochrane and S.A. Cochran, eds.), 2016, California State Waters Map Series—Offshore of Aptos, California: U.S. Geological Survey Open-File Report 2016–1025, 43 p., 10 sheets, scale 1:24,000, https://doi.org/10.3133/ofr20161025.
Faults in the Offshore of Aptos map area are identified on seismic-reflection data based on abrupt truncation or warping of reflections and (or) juxtaposition of reflection panels with different seismic parameters such as reflection presence, amplitude, frequency, geometry, continuity, and vertical sequence. Faults were primarily mapped by interpretation of seismic reflection profile data from USGS field activity S-N1-09-MB. The seismic reflection profiles were primarily collected in 2009.

Tags: aptos, capitola, cmhrp, coastal-and-marine-hazards-and-resources-program, continental-island-shelf, distributions, environment, faulting-geologic, geologic-maps, geologic-structure, geoscientificinformation, imagerybasemapsearthcover, marine-geology, marine-nearshore-subtidal, marine-offshore-subtidal, northern-california-ecoregion, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, rock-substrate, santa-cruz-county, seabed, soquel, state-of-california, structural-geology, transform-continental-margin, u-s-geological-survey, unconsolidated-mineral-substrate, usgs, usgs-556f7b4de4b0d9246a9fd092
Organization: Department of the Interior
Seafloor character from lidar data-Santa Barbara Channel

Seafloor character was derived from interpretations of lidar data available for the mainland coast within the study area from the California State Waters Mapping Program (Johnson and others, 2012; Johnson and others, 2013a; Johnson and others, 2013b; Johnson and others, 2013c). The number of substrate classes was reduced because rugosity could not be derived for all areas.
References Cited:
Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Greene, H.G., Krigsman, L.M., Kvitek, R.G., Dieter, B.E., Endris, C.A., Seitz, G.G., Sliter, R.W., Erdey, M.E., Gutierrez, C.I., Wong, F.L., Yoklavich, M.M., Draut, A.E., Hart, P.E., and Conrad, J.E. (S.Y. Johnson and S.A. Cochran, eds.), 2013a, California State Waters Map Series—Offshore of Santa Barbara, California: U.S. Geological Survey Scientific Investigations Map 3281, 45 p., 11 sheets, scale 1:24,000, https://doi.org/10.3133/sim3281.
Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Kvitek, R.G., Greene, H.G., Endris, C.A., Seitz, G.G., Sliter, R.W., Erdey, M.D., Wong, F.L., Gutierrez, C.I., Krigsman, L.M., Draut, A.E., and Hart, P.E. (S.Y. Johnson and S.A. Cochran, eds.), 2013b, California State Waters Map Series—Offshore of Carpinteria, California: U.S. Geological Survey Scientific Investigations Map 3261, 42 p., 10 sheets, scale 1:24,000, https://pubs.usgs.gov/sim/3261/.
Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Kvitek, R.G., Greene, H.G., Krigsman, L.M., Endris, C.A., Clahan, K.B., Sliter, R.W., Wong, F.L., Yoklavich, M.M., and Normark, W.R. (S.Y. Johnson, ed.), 2012, California State Waters Map Series—Hueneme Canyon and Vicinity, California: U.S. Geological Survey Scientific Investigations Map 3225, 41 p., 12 sheets, scale 1:24,000, https://pubs.usgs.gov/sim/3225/.
Johnson, S.Y., Dartnell, P., Cochrane, G.R., Golden, N.E., Phillips, E.L., Ritchie, A.C., Kvitek, R.G., Greene, H.G., Krigsman, L.M., Endris, C.A., Seitz, G.G., Gutierrez, C.I., Sliter, R.W., Erdey, M.D., Wong, F.L., Yoklavich, M.M., Draut, A.E., and Hart, P.E. (S.Y. Johnson and S.A. Cochran, eds.), 2013c, California State Waters Map Series—Offshore of Ventura, California: U.S. Geological Survey Scientific Investigations Map 3254, pamphlet 42 p., 11 sheets, scale 1:24,000, https://pubs.usgs.gov/sim/3254/.

Tags: benthic-ecosystems, benthos, biosphere-gt-aquatic-ecosystems-gt-benthic-habitat, biosphere-gt-aquatic-ecosystems-gt-marine-habitat, cmgp, coastal-and-marine-geology-program, environment, geoscientificinformation, imagerybasemapsearthcover, lidar, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-habitats-and-geomorphology, santa-barbara-channel, state-of-california, u-s-geological-survey, usgs, usgs-728914cb-4222-446c-beab-dfb6007c9776
Organization: Department of the Interior
Flood-inundation depth grids for the Iowa River at the Meskwaki Settlement in Iowa, 2019

Digital flood-inundation maps for a 9.3-mile reach of the Iowa River along the Meskwaki Settlement, Iowa, were created by the U.S. Geological Survey (USGS) in cooperation with the Sac and Fox Tribe of the Mississippi River in Iowa. The flood-inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science web site at https://water.usgs.gov/osw/flood_inundation/ depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa. Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at https://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site. Flood profiles were computed for the stream reach by means of a calibrated one-dimensional and two-dimensional step-backwater hydraulic model. The model was calibrated by using the current stage-discharge relation at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa, and stage and discharge data from historic flooding events that were recorded at the streamgage. The hydraulic model was then used to compute eight water-surface profiles for flood stages at 1-foot intervals referenced to the streamgage datum and ranging from the NWS “action stage” of 11 feet (ft) to 18 ft, the stage exceeding the estimated 0.2-percent annual exceedance probability (500-year recurrence interval) flood, as determined at the USGS streamgage 05451770 on the Iowa River at County Highway E49 near Tama, Iowa. The simulated water-surface profiles were then combined with a geographic information system digital elevation model (DEM) to delineate the area flooded at each flood stage (water level). 
The availability of these maps, along with internet information regarding current stage from the USGS streamgage and forecasted high-flow stages from the NWS, will provide emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.

Tags: biota, flood, flood-inundation-mapping, flooded-area, geospatial-analysis, iowa, iowa-river, meskwaki-settlement, river, usgs-5c866099e4b09388244b3c82
Organization: Department of the Interior
Soil flux (CO2, CH4), soil temperature, and soil moisture measurements at the Great Dismal Swamp National Wildlife Refuge (2015 - 2017)

We identified nine study site locations, representing three mature vegetation communities [Atlantic White Cedar (desired community), tall pine pocosin (desired community), and red maple/black gum mixed (undesired community)]  with typical water depth within each vegetation type.  All measurements were replicated three times (3 vegetation types x 3 replicates  = 9 sites total).  We installed four flux chambers at each site to collect GHG fluxes from all nine sites.  We measured CO2 and CH4 using a Los Gatos Research Ultra Portable Greenhouse Gas Analyzer and two-part 760 cm2 flux chambers (chamber base remained in situ; chamber top was placed on the bottom only when sampling). We checked the gas fluxes on a monthly time-table for 24 months (May 2015 through April 2017) measuring PPM CO2 and CH4 for ten minutes at each chamber. Monthly measurements were also taken for soil temperature and soil moisture. Soil temperature was recorded using a digital thermometer and soil moisture was recorded by measuring soil water content by mass using  gravimetric soil moisture protocols at each site.

Tags: biogeochemical-cycles, carbon, peatlands, soil, soil-moisture-water-content, terrestrial-ecosystems, usgs-5ae79194e4b0e2c2dd33f621
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2016 Site 0287 land-water matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2016).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: alteration-of-wetland-habitats, cartography, coastal, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b631a37e4b006a11f717782, wetland, wetland-ecosystems, wetlands
Organization: Department of the Interior
SAV Bed Plots Delaware River National Parks

This is a data set composed of field survey of aquatic vegetation in the Delaware Water Gap and the Upper Delaware Scenic and Recreational Area National Parks.  Data were compiled by field sampling with GPS coordinates and underwater imaging and bathymetry.  Data were compiled by teams composed of personnel from the National Park Service, the U.S. Geological Survey and the Western Pennsylvania Conservancy.

Tags: aquatic-vegetation, biota, usgs-5b74430ae4b0f5d5787ecd06
Organization: Department of the Interior
Estimated Streamflow Using Satellite Data for site: 1556486001, YUKON RIVER, RSQ REACH, AT GALENA, AK

This dataset provides estimated Remote Sensing Streamflow (RSQ) data on a reach along the Yukon River for site: 1556486001, YUKON RIVER, RSQ REACH, AT GALENA, AK. Reach-specific relations between satellite-derived water-surface elevation data and dynamic surface water extent data were used with a modified form of the Manning's streamflow equation to estimate streamflows. Reach-specific details are provided in a README PDF document included with this data release.

Tags: alaska, altimetry-measurement, elevation, inlandwaters, multispectral-imaging, remote-sensing, streamflow, usgs-66e471f8d34e1cc1f894ecdb, yukon-river
Organization: Department of the Interior
Airborne magnetic flight line data, Columbia, South Carolina and surrounds, 2020

Airborne magnetic gradiometry data are provided here as part of the data release, "Airborne magnetic and radiometric survey, Columbia, South Carolina and surrounds, 2020." This website includes the processed aeromagnetic data provided in an ascii .csv file and a geoTIFF image showing the magnetic field intensity. The contractor report is available on the parent page. 
References cited:
Shah, A.K., 2020, Airborne magnetic and radiometric survey, Charleston, South Carolina and surrounds, 2019: U.S. Geological Survey data release, https://doi.org/10.5066/P9EWQ08L.

Tags: aeromagnetic-surveying, aeroradiometric-surveying, aiken-county-bamberg-county-barnwell-county-calhoun-county-clarendon-county-colleton-county-dor, airborne-geophysical-survey, columbia, earth-mapping-resources-initiative, earthmri, earthquake-hazards-program, economy, ehp, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, horizontal-magnetic-gradiometry, mineral-resources-program, mrp, national-cooperative-geologic-mapping-program, ncgmp, potassium, south-carolina, thorium, u-s-geological-survey, united-states, uranium, usgs, usgs-62291b18d34ee0c6b38b88e5
Organization: Department of the Interior