AndreaBozzo/ceres-open-data-index huggingface dataset:
Synthetic storm-driven flood-inundation grids for coastal communities along the Townsend Channel to Ingram Thorofare and adjacent to the Avalon tide gage from Sea Isle City to Avalon, NJ

Digital flood-inundation maps for coastal communities within Cape May County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: cape-may-county, digital-maps, flood-inundation-maps, floods, new-jersey-coastal, oceans, tide-gages, usgs-62435033d34e22d73748d386
Organization: Department of the Interior
Wind rose plots for the volcano: 352006  Cayambe

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-58d01740e4b0236b68f531c0, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
MODFLOW-2005 model used to analyze water-use scenarios in the New Jersey Coastal Plain

Three withdrawal scenarios spanning from 2014 through 2040 were simulated using a previously published three-dimensional groundwater flow model of the New Jersey Coastal Plain (NJCP) (Gordon and Carleton, 2023). This model, run in MODFLOW-2005 (version 1.12.00), was recently updated by the U.S. Geological Survey (USGS) ensuring the models continued relevance for water-resource management and development. The three withdrawal scenarios were simulated in support of an update to the New Jersey Statewide Water Supply Plan by the New Jersey Department of Environmental Protection (NJDEP). The scenarios simulate nominal-water loss,  optimal-water loss, and  full-allocation conditions. The nominal water-loss scenario assumes that all public community water supply (PCWS) systems will achieve the current (as of 2018) median values from the systems reporting data on water loss in their distribution systems. The optimal water-loss scenario assumes that all systems will achieve water loss rates roughly equivalent to the systems with the least amount of water loss. Withdrawal rates for both scenarios were based on analysis done at Rutgers University (Van Abs, 2018). In the full-allocation scenario the withdrawal amounts were site specific from an NJDEP Bureau of Water Allocation allocation tool calculation based on data from May 20, 2021 and represents withdrawal amounts at the full-allocation level of each well. This USGS data release contains all the input and output files for the simulated scenarios described above in the associated model documentation report (https://doi.org/10.3133/sir20245028).
References:
-Gordon, A.D., and Carleton, G.B., 2023, Updates to the regional groundwater-flow model of the New Jersey Coastal Plain, 1980-2013: U.S. Geological Survey Scientific Investigations Report 2023-5066, 116 p., accesses on March 14, 2024, at https://doi.org/10.3133/sir20235066.
-Van Abs, D.J., Jiayi, D., and Pierson, E., 2018, Water needs through 2040 for New Jersey public community water supply systems: New Jersey Department of Environmental Protection, Division of Water Supply and Geoscience, prepared by Rutgers University, New Brunswick, New Jersey, accesses May 9, 2024, at https://dep.nj.gov/wp-content/uploads/water-supply-plan/van-abs-et-al-2018.01.19-water-needs-through-2040-for-nj-pcws_final-.pdf.

Tags: atlantic-county, burlington-county, camden-county, cape-may-county, caroline-county, cecil-county, cumberland-county, delaware, environment, geoscientificinformation, gloucester-county, groundwater, groundwater-model, inlandwaters, kent-county, maryland, mercer-county, middlesex-county, modflow-2005, monmouth-county, new-castle-county, new-jersey, new-jersey-coastal-plain, ocean-county, queen-annes-county, salem-county, sussex-county, usgs-64f9ed35d34ed30c2054ae64, usgsgroundwatermodel, wicomico-county, worcester-county
Organization: Department of the Interior
One-Minute Navigation Shapefile of Seismic-Reflection Data Collected in Southern Rhode Island Sound in 1980 (A80_6_1MINNAV_SORT.SHP)

During 1980, the U.S. Geological Survey (USGS) conducted a seismic-reflection survey utilizing Uniboom seismics in southern Rhode Island Sound aboard the Research Vessel Asterias. This cruise totalled 3 survey days. Data from this survey were recorded in analog form and archived at the USGS. Due to recent interest in the geology of Rhode Island Sound and in an effort to make the data more readily accessible while preserving the original paper records, the seismic data from this cruise were scanned and converted to TIFF images and SEG-Y data files. Navigation data were converted from LORAN-C time delays to latitudes and longitudes, which are available in ESRI shapefile format and as eastings and northings in space-delimited text format.

Tags: atlantic-ocean, cmgp, coastal-and-marine-geology-program, cox-ledge, cruise-ast-80-6b, field-activity-number-80012, geophysical-data, geospatial-datasets, location, loran-c, marine-geophysics, massachusetts, muskeget-channel, nantucket-sound, navigation, navigational-data, north-america, north-atlantic-ocean, northeast-united-states, oceans, ofr-2009-1003, open-file-report-2009-1003, point-shapefile, r-v-asterias, rhode-island, ship-track, shot-point-navigation, southern-rhode-island-sound, u-s-east-coast, u-s-geological-survey, united-states, usgs, usgs-9968fee4-5a54-40ec-ab74-17e65bf4b6e6, whsc, woods-hole-science-center
Organization: Department of the Interior
Total Petroleum Systems of northern Afghanistan (tpsafg.shp)

This shapefile includes polygons that describe U.S. Geological Survey delineated Total Petroleum Systems of northern Afghanistan. Each petroleum system is defined as a mappable entity encompassing genetically related petroleum that occurs in seeps, shows and accumulations (discovered and undiscovered) that have been generated by a pod, or by closely related pods, of mature source rock, together with the essential mappable geologic elements (source, reservoir, seal and overburden rocks) that control fundamental processes of generation, migration, entrapment and preservation of petroleum. Total petroleum systems are described by U.S. Geological Survey research scientists on the basis of exploration and production histories, and extensive literature searches. Total petroleum systems are identified with a numeric code derived from the numeric code of the World Geologic Provinces defined by the U.S. Geological Survey World Energy Project.

Tags: af, afghan, afghan-tajik-basin, afghanistan-ministry-of-mines-and-industry, amu-darya-basin, earth-science, geology, geoscientificinformation, islamic-state-of-afghanistan, joint-oil-and-gas-resource-assessment-team, natural-gas, natural-resources, northern-afghanistan, oil, oilgas, petroleum, resource-assessment, total-petroleum-systems, u-s-geological-survey, usgs, usgs-60ad2ac6d34e4043c850eb6f, wep, worldgeologicmaps
Organization: Department of the Interior
Refraction-corrected bathymetric digital surface model (DSM) from the UAS survey of the coral reef off Waiakane, Molokai, Hawaii, 24 June 2018

This portion of the data release presents a bathymetric digital surface model (DSM) from an unoccupied aerial system (UAS) survey of the coral reef off Waiakane, Molokai, Hawaii, on 24 June 2018. The DSM has a horizontal resolution of 10 centimeters per pixel and has been corrected for the effects of refraction using the techniques described in Dietrich (2017a). The DSM was created from structure-from-motion (SfM) processing of aerial imagery collected using a UAS with a Ricoh GR II digital camera fitted with a circular polarizing filter. During the survey, a pressure sensor was deployed in the survey area to derive an accurate measurement of the mean water surface elevation (WSE). After a preliminary dense point cloud was derived from SfM processing, the WSE was used to calculate apparent water depths. These apparent depths along with the estimated camera positions and orientations were used as inputs for the multi-view refraction correction python script (py_sfm_depth.py) described in Dietrich (2017b). The resulting point cloud was then rasterized to create the DSM. The refraction-corrected DSM showed a substantial improvement in accuracy over a DSM created using the uncorrected point cloud. When compared to the 2013 U.S. Army Corps of Engineers Topobathy Lidar for the area in the central portion of the data set the vertical RMSE for the refraction-corrected DSM was 0.233 meters with a mean residual of -0.013 meters, whereas the vertical RMSE for the uncorrected DSM was 0.428 meters with a mean residual of -0.340 meters (see the Vertical Positional Accuracy Report in the metadata for a complete description of the accuracy analysis). The refraction-corrected bathymetric DSM is presented in a cloud-optimized GeoTIFF format with internal overviews and masks to facilitate cloud-based queries and display.
References Cited:
Deitrich, J.R., 2017a, Bathymetric Structure-from-Motion: extracting shallow stream bathymetry from multi-view stereo photogrammetry: Earth Surface Processes and Landforms, https://doi.org/10.1002/esp.4060.
Deitrich, J.R., 2017b, py_sfm_depth: Github online repository, https://github.com/geojames/py_sfm_depth.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, chmrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, coral-reefs, elevation, fringing-reef, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, kalohi-channel, maui-county, molokai, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, reef, remote-sensing, sfm, state-of-hawaii, structure-from-motion, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-61b2a50fd34e3bd218621302, waiakane
Organization: Department of the Interior
National Fish Habitat Partnership (NFHP) 90 Meter Buffers of the NHDPlusV1 for the Conterminous United States

This geodatabase contains 90 meter buffers of streams within the National Hydrography Dataset Plus Version 1 (NHDPlusV1).  These buffers were developed by converting NHDPlusV1 flowlines to a 30m grid, then running a euclidean allocation function in ArcPy to generate buffer zones.  For flowlines representing artificial paths within NHD area river polygons, buffers extend from the outside edges ("banks") of the polygon outward.  To account for other hydrologic features when developing buffers (e.g. lakes), all features were buffered in the NHDPlusV1 to help stream/river buffers from extending into these other features such as lakes.  The source code for buffer development can be found at https://github.com/ArthurCooper/NFHP-Buffer-Code.

Tags: alabama, arizona, arkansas, california, colorado, connecticut, delaware, district-of-columbia, drainage-basins, florida, georgia, idaho, illinois, indiana, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, rhode-island, river-reaches, south-carolina, south-dakota, stream-buffers, streams, tennessee, texas, usgs-5858098ae4b0e40e53c2377d, utah, virginia, washington, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Airborne geophysical survey: Rio Puerco TEM, New Mexico

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, cochiti-pueblo, f35043-sandoval, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, new-mexico, nm, residual-magnetic-field, rio-puerco, rio-rancho, total-field, united-states, usgs-4a41fcef-7869-4994-b47a-125573877d6c
Organization: Department of the Interior
Digital Elevation Model of the Bathymetry of Blue Mountain Lake, Arkansas

The dataset is a digital elevation model (DEM), in GeoTiff format, of the bathymetric surface of Blue Mountain Lake, Arkansas, within the extent of pool elevation 420 feet (ft) above the North American Vertical Datum of 1988 (NAVD88).  The DEM was derived from a terrain dataset created by merging bare earth point data from an aerial LiDAR survey conducted in December 2010 for the U.S. Army Corps of Engineers (USACE), Little Rock District, with point data from a bathymetric survey conducted in May 2017 by the Lower Mississippi-Gulf Water Science Center of the U.S. Geological Survey (USGS) using methodology similar to that described by Wilson and Richards (2006).

Tags: acoustic, adcp, ar, arkansas, ascii, bathymetry-and-elevation, blue-mountain-lake, digital-elevation-models, doppler, elevation, gnis-id-74690, inlandwaters, lidar, limnology, sonar, terrain-dataset, usgs-5a318458e4b08e6a89d70b7f, water-depth, xyz, yell-county
Organization: Department of the Interior
Identify sources of high E. coli concentrations, beaches of southern Lake Michigan, 2015, (version 2.0, July 2020)

Data were collected as part of a study to identify sources of E. coli contamination at several beaches located in the Grand Calumet River Areas of Concern, located in northern Indiana on Lake Michigan, as well as in Illinois and Wisconsin on Lake Michigan.  Water samples were collected at each site in Indiana three times a week for thirteen weeks and at each site in Illinois and Wisconsin. All samples were analyzed for E. coli bacteria (an indicator bacteria for fecal contamination) and species-specific molecular markers (microbial source tracking, MST), including human, gull, and dog.  Presence of MST markers indicates a fecal source at that location associated with the target animal.  Field conditions were recorded during each site visit (e.g., including air and water temp, wind speed and direction, rainfall, wave height, currents, observations). Water samples were analyzed in the laboratory for E. coli using defined substrate technology and for MST markers using quantitative polymerase chain reaction (qPCR) methods and also turbidity.
Lat_long_v2 file includes information regarding sampling locations and their corresponding latitude and longitudes. The E coli_turbidity_v2 data include E. coli densities and turbidity measurements. Data from the qpcr_v4 file includes results from quantitative polymerase chain reaction (qPCR) method for detection of host-specific microbial source tracking markers. Data from SanitarySurvey includes ambient conditions measured in the field: water and air temperature, current speed and direction (eastward, westward, float method), wind direction and speed, wave height, rainfall, and cloud cover. Data from SanitarySurvey_birds included number of birds (gulls, geese, ducks, cormorants, etc.) counted on the beach and in the water. The PowerWater.pdf is the DNA extraction kits' user manual giving detailed instructions for use.

Tags: area-of-concern, contamination-and-pollution, environment, environmental-health-human, freshwater-ecosystems, grand-calumet-river, great-lakes, lake-michigan, microbiology, polymerase-chain-reaction, usgs-5ea85e0e82cefae35a1fae4a, water-sampling
Organization: Department of the Interior
Time series of expected livestock forage biomass in the semi-arid grasslands of the western U.S. (2000-2018)

Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The use of an ecosystem performance approach for assessment of seasonal and interannual climate impacts on forage production in semi-arid grasslands proved to be a successful method in a case study covering the Nebraska Sandhills. In this study we developed a time series (2000-2018) of the Expected Ecosystem Performance (EEP), which serves as a proxy for annual forage production after accounting for non-climatic influences, while minimizing effects of management and disturbances. The EEP was an output of a piecewise regression tree model that establishes relationships between seasonal climate variables, site specific growth potential, and long-term variability in growth to capture changes in Actual Ecosystem Performance measured by time-integrated Normalized Difference Vegetation Index (derived from eMODIS). We converted the unitless EEP to biomass using the SSURGO range production data. These results were then compared to ground-observed biomass in various locations of the study area and revealed strong positive relationships (R-squared = 0.67). An analysis of data from years beyond the model training period suggests that the model can be used for creating historical and future estimates of forage production in the western U.S. The newly-established relationships between seasonal climate and site-specific characteristics can be used for creating timely post-season forage production assessments and, when combined with seasonal climate forecasts or scenarios, they can serve for producing within-season estimates of annual forage production. These could lead to more informed decision making by livestock producers and land managers. This approach is transferable to other areas where climate and remotely-sensed NDVI data exist and therefore could be used to monitor climate impacts on annual forage production across the global grasslands.

Tags: biomass, biota, drought-impact, droughts, ecosystem-management, farming, forage-production, ndvi, rangeland-productivity, regression-analysis, regression-tree-model, remote-sensing, semi-arid-grasslands, terrestrial-ecosystems, united-states, usgs-60edab07d34e48f871733fea, western-u-s
Organization: Department of the Interior
sir2016-5029_Low_Res_Extents: Flood-Inundation Maps for the Coast Fork Willamette River from Creswell, Oregon to Goshen, Oregon

The Digital Elevation Model (DEM) utilized for this Willamette FIS submittal was produced by 
combining multiple overlapping topographic surveys for the Middle Fork and Coast Fork of the 
Willamette River. The DEM was created from four sources: LIDAR of the Springfield area that 
was flown in 2008, LIDAR of Silk Creek that was flown in 2011, LIDAR of Fall Creek that was 
flown in 2012, and photogrammetry of the Middle Fork and Coast Fork of the Willamette River 
that was flown in 2004. In areas where no high-resolution elevation data were available, USGS 
National Elevation Dataset (NED) data were used to supplement the DEM. This feature represents 
the areas NED information is presented. The horizontal datum of the DEM is NAD 1983 State 
Plane-Oregon South HARN with units of International Feet (NAD83). The vertical datum of the 
elevation model is NAVD 1988 with units of international feet (NAVD-88). The lower resolution 
elevation data means that there is less confidence in the flooded area polygon and water depth 
for a particular water surface elevation.

Tags: coast-fork-willamette-river, creswell-oregon, elevation, environment, flood, flood-inundation-maps, flooded-area, geoscientificinformation, geospatial-analysis, goshen-oregon, high-water-marks, inlandwaters, oregon, river, stream, usgs-262aa7c0-ad2f-43f0-9ee0-b3f2d06eca68, willamette-valley
Organization: Department of the Interior
High-Resolution Airborne Radiometric Survey of Mountain Pass, California

A detailed airborne radiometric survey of Mountain Pass, California was flown by CGG Canada Services Ltd. (CGG).  The high-resolution helicopter survey was flown at a flight-line spacing of 100 and 200 m, a flight-line azimuth of 70 degrees, a nominal flight-line elevation above ground of 70 m, and consists of about 1,814 line-kilometers.  Tie lines were spaced at a 1-km interval with a flight-line azimuth of 160 degrees.  Data were collected using a Radiation Solutions RS-500 spectrometer and processed by CGG using standard radiometric surveying techniques (e.g., International Atomic Energy Agency, 2003) that include corrections for aircraft and cosmic background radiation, radon background, Compton scattering effects, and variations in altitude.  Radioelement data are presented as ASCII grids of potassium (K) in per cent, equivalent thorium (eTh) in parts per million (ppm), and equivalent uranium (eU) in ppm. Airborne radiometric maps of Mountain Pass were published by Ponce and Denton (2019).

Tags: geology-minerals-energy-and-geophysics-science-center, geophysics, geoscientificinformation, gmegsc, mineral-resources, mineral-resources-program, mrp, radiometric-survey, usgs-5b80a3a1e4b05f6e321958e9
Organization: Department of the Interior