AndreaBozzo/ceres-open-data-index huggingface dataset:
Missouri River bed elevations near Fort Calhoun Power Plant surveyed during 2011 flood on July, 25

A RESON SeaBat™ 7125 multibeam echosounder in conjunction with an Applanix Position Orientation Solution for Marine 
Vessels (POS MV™) WaveMaster system motion sensor, HYPACK®/HYSWEEP® navigation software, and Ashtech Z-Xtreme 
GPS receivers or Trimble R8 receivers was used to survey the Missouri River bed at 15 pipeline crossings at four different 
locations, at three power plant locations, and at one transmission tower during the 2011 flood event.  The format of this data 
is a grid with each cell covering 0.5 meter by 0.5 meter.  The elevation value (North American Vertical Datum, NAVD88) 
represented by each cell is the most probable elevation for that cell based on calculated Total Propagated Uncertainty (TPU) 
as calculated in Caris HIPS and SIPS software.  Calculated TPS values are then used by Caris to create a Combined 
Uncertainty and Bathymetric Estimator (CUBE) surface.  The surface grid was used to export the cell centroid position 
(Northing, Easting in UTM zone 14 North, in meters) along with the cell elevation (referenced to NAVD88, in meters) to 
create the text file.  The data were collected by the U.S. Geological Survey in cooperation with the Environmental Protection 
Agency (EPA) and the Omaha Public Power District (OPPD).

Tags: bathymetry, inlandwaters, iowa, iso-19115, missouri-river, multibeam-sonar, nebraska, pottowattamie-county, terrain, topography, usgs-2274efb6-6c74-4526-ae55-e5d7683536d3, washington-county
Organization: Department of the Interior
Airborne geophysical survey: Western Brooks Range

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, f02185-north-slope, f02188-northwest-arctic, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-2282eb5e-11b1-4081-bc2b-3ce4cd711cc0
Organization: Department of the Interior
MODFLOW-2005 Models used to Simulate Effects of Pumping in the Death Valley Regional Groundwater Flow System, Nevada and California—Selected Management Scenarios Projected to 2120

A three-dimensional, groundwater-flow model developed by Halford and Jackson 
(https://doi.org/10.3133/pp1863) was used to simulate effects of future (2020—2120) 
groundwater pumping on water levels and natural discharges in the Alkali 
Flat–Furnace Creek Ranch (AFFCR), Ash Meadows, Pahute Mesa–Oasis Valley 
(PMOV), and Pahrump to Death Valley South (PDVS) groundwater basins, southern 
Nevada and California. Four pumping scenarios were simulated, including a base case 
and scenarios A, B, and C. Scenarios were simulated from 1913 to 2120, with historical 
pumping occurring from 1913 to 2010, historical 2010 pumping rates projected from 
2010 to 2020, and scenario pumping beginning in 2020. The base case projected 2010 
pumping rates from 2010 to 2120, and scenarios A, B, and C projected base case 
pumping plus additional pumping at various locations from 2020 to 2120. Input and 
output files for the predictive simulations are in the model and output directories, 
respectively. This USGS data release contains model files for the simulations and 
analysis results described in U.S. Geological Survey Scientific Investigations Report 
2020-5103 (https://doi.org/10.3133/sir20205103). A detailed description of model 
development and calibration is documented in U.S. Geological Survey Professional 
Paper 1863 (https://doi.org/10.3133/pp1863).

Tags: amargosa-desert, amargosa-river, ash-meadows, california, clark-county, death-valley, environment, furnace-creek, furnace-creek-ranch, geoscientificinformation, groundwater, groundwater-model, inlandwaters, inyo-county, lincoln-county, modflow, modflow-2005, nevada, nevada-test-site, nye-county, pahrump-valley, san-bernardino-county, usgs-228da90c-1d8a-4946-a5c7-ace50bc18bab, usgsgroundwatermodel
Organization: Department of the Interior
Attendee Survey Results from the April and May 2020 Gulf Islands National Seashore Workshop

In early 2020, scientists gathered to advance sediment budget modeling efforts by conducting a “Needs Assessment Workshop” for the Gulf Island National Seashore (GINS) to understand the coastal processes affecting island resiliency. The “Gulf Islands Sediment Budget Needs Assessment Workshop” was held, virtually, April 23–24 and May 27–28, 2020. The workshop series was organized by researchers from North Carolina State University in collaboration with National Park Service (NPS) and U.S. Geological Survey (USGS) staff and was facilitated by personnel from the National Oceanographic and Atmospheric Administration (NOAA). The final survey/questionnaire results are available as American Standard Code for Information Interchange (ASCII) delimited text files in comma-separated values (CSV) and Microsoft Excel (XLSX) file formats. This data release (Forde and Flocks, 2022) includes quantitative (GNIS_Survey_Data_April_Raw.csv, GNIS_Survey_Data_May_Raw.csv) and qualitative (GNIS_Survey_Data_Text_April_Raw.csv, GNIS_Survey_Data_Text_May_Raw.csv) survey results from two questionnaires submitted to attendees during the 2020 GINS sediment budget workshop. For additional information pertaining to workshop details and results, refer to the associated USGS Open-File Report (Seekamp and others, 2022).

Tags: coastal-processes, culture-and-demographics, florida, geology, geoscientificinformation, gulf-islands-national-seashore, gulf-of-mexico, information-sciences, marine-geology, mississippi, natural-resource-management, oceans, sediment-transport, statistical-surveying, usgs-2292b5d8-b538-439c-8104-57d6d824eaa3
Organization: Department of the Interior
Single-Beam Bathymetric Data collected with Personal Watercraft collected along the Fire Island, New York shoreface (2014) in XYZ ASCII text file format

Scientists from the U.S. Geological Survey St. Petersburg Coastal
and Marine Science Center in St. Petersburg, Florida, conducted a
bathymetric survey of Fire Island, New York, from October 5 to 10,
2014. The U.S. Geological Survey is involved in a post-Hurricane
Sandy effort to map and monitor the morphologic evolution of the
wilderness breach, which formed in October 2012 during Hurricane
Sandy, as part of the Hurricane Sandy Supplemental Project GS2-2B.
During this study, bathymetry data were collected, using single-beam
echo sounders and global positioning systems mounted to personal
watercraft, along the Fire Island shoreface and within the
wilderness breach, Fire Island Inlet, Narrow Bay, and Great South
Bay east of Nicoll Bay. Additional bathymetry and elevation data
were collected using backpack and wheel-mounted global positioning
systems along the subaerial beach (foreshore and backshore), and
flood shoals and shallow channels within the wilderness breach and
adjacent shoreface.

Tags: 2014-325-fa, atlantic-ocean, barrier-island, bathymetry, bellport-bay, cmgp, coastal-and-marine-geology-program, elevation, fire-island, fire-island-inlet, fire-island-national-seashore, geomorphology, geophysics, geoscientificinformation, geospatial-datasets, gps-measurement, great-south-bay, hurricane-sandy, hurricane-sandy-supplemental-fire-island, imagerybasemapsearthcover, mapping, marine-geology, narrow-bay, new-york, oceans, otis-pike-fire-island-high-dune-wilderness, sea-floor-characteristics, shoals, single-beam, single-beam-echo-sounder, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states-of-america, usgs, usgs-2297ba6e-2289-4825-9588-e8e5b7a4877f, wilderness-breach
Organization: Department of the Interior
Interpretation of the elevation of the base of the Holocene ravinement derived from seismic data collected within the new York Bight by the U.S. Geological Survey, 1995 - 1998 (Grid, UTM Zone 18N, WGS84 and Esri polyline shapefile, Geographic, WGS84)

These data orginate from interpretations of seismic
reflection profile data. The derivative data are in a grid
format and are intended to represent the elevation of the
Holocene Ravinement surface throughout the inner-continental
shelf within the New York Bight. The gridded elevation of
the Holocene Ravinement is helpful in understanding the
stratigraphic evolution of the inner-continental shelf, the
regional sediment transport system, and the influence of the
inner-shelf framework on coastal processes. The grid showing
elevation of the Holocene Ravinment is an important factor
in the framework of the coastal region.

Tags: atlantic-ocean, geologic-framework, geologic-structure, geospatial-datasets, holocene, holocene-ravinement, long-island, marine-geophysics, nearshore, new-york-bight, sand-distribution, sand-resources, sand-thickness, scientific-interpretation, usgs-22b8aca3-046e-47f3-b261-3a2008aa8553
Organization: Department of the Interior
Attributes for MRB_E2RF1 Catchments in Selected Major River Basins: Population Density, 2000

This data set represents the average population density, in number of people per square kilometer 
multiplied by 10 for the year 2000, compiled for every MRB_E2RF1 catchment of selected Major 
River Basins (MRBs, Crawford and others, 2006). The source data set is the 2000 Population 
Density by Block Group for the Conterminous United States (Hitt, 2003).
		
The MRB_E2RF1 catchments are based on a modified version of the U.S. Environmental Protection 
Agency's (USEPA) RF1_2 and include enhancements to support national and regional-scale 
surface-water quality modeling (Nolan and others, 2002; Brakebill and others, 2011).
		
Data were compiled for every MRB_E2RF1 catchment for the conterminous United States covering 
covering New England and Mid-Atlantic (MRB1), South Atlantic-Gulf and Tennessee (MRB2), the 
Great Lakes, Ohio, Upper Mississippi, and Souris-Red-Rainy (MRB3), the Missouri (MRB4), the 
Lower Mississippi, Arkansas-White-Red, and Texas-Gulf (MRB5), the Rio Grande, Colorado, and 
the Great basin (MRB6), the Pacific Northwest (MRB7) river basins, and California (MRB8).

Tags: cali, california, catchment, cogb, conterminous-united-states, environment, geoscientificinformation, glmr, great-lakes-ohio-upper-mississippi-and-souris-red-rainy, inlandwaters, lmtg, lower-mississippi-arkansas-white-red-and-texas-gulf, major-river-basins, missouri, mori, mrb, mrb1, mrb2, mrb3, mrb4, mrb5, mrb6, mrb7, mrb8, mrb_e2rf1, mrb_e2rf1ws, nawqa, nema, new-england-and-mid-atlantic, pacific-northwest, panw, population-density, rio-grande-colorado-and-great-basin, sagt, south-atlantic-gulf-and-tennessee, sparrow, usgs-22d021cc-b897-4d21-8dc1-c24177b67213
Organization: Department of the Interior
MODFLOW-2005 and MT3DMS models used to design and evaluate a bioremediation experiment at the former Naval Air Warfare Center, West Trenton, NJ

MODFLOW-2005 groundwater flow models and MT3DMS solute transport models were developed 
to represent conditions in the vicinity of a bioremediation experiment conducted in fractured rocks 
underlying the former Naval Air Warfare Center, West Trenton, New Jersey. The groundwater flow 
models include transient simulations of water-level changes during six field aquifer tests and 
steady-state simulations of hydraulic head at the site. The solute transport models include 
simulations of bromide tracer transport and of injection conditions during the bioremediation 
experiment. ZONEBUDGET and MODPATH were used for postprocessing analyses of flow 
modeling output. UCODE_2014 was used to calibrate the flow models and to conduct 
uncertainty analyses.

Tags: environment, geoscientificinformation, groundwater, groundwater-model, inlandwaters, mercer-county, modflow, modpath, mt3dms, new-jersey, newark-basin, transport-model, ucode, usgs-22d18efe-e8ce-4f4c-95c2-a111400e0676, usgsgroundwatermodel, west-trenton, zonebudget
Organization: Department of the Interior
LANDFIRE Remap Annual Disturbance HI 2016

LANDFIRE's (LF) Annual Disturbance (Dist) product provides temporal and spatial information related to landscape change. Dist depicts areas that have experienced a disturbance within a given year of 4.5 hectares (11 acres) or larger, along with cause and severity. Information sources include national fire mapping programs such as Monitoring Trends in Burn Severity (MTBS), Burned Area Reflectance Classification (BARC), and Rapid Assessment of Vegetation Condition after Wildfire (RAVG), local user/agency contributed data (LF Events Geodatabase), and remotely sensed Landsat imagery. Composite Landsat image pairs from the current year, prior year, and following year are spectrally compared to determine where change occurred and its corresponding severity. Additionally, vegetation indices (Normalized Differenced Vegetation Index [NDVI] and Normalized Burn Ratio [NBR]) serve as inputs into the Multi-Index Integrated Change Algorithm (MIICA) (Jin et al. 2013); MIICA outputs and differenced products (e.g., dNDVI and dNBR) are used to locate change.  Predictive modeling based on the previous 10 years of disturbance data provides an additional dataset useful for locating disturbance.  Image analysts use the aforementioned datasets separately or in combination to isolate true change from false change (e.g., change caused by stark differences in phenology rather than a true disturbance event). The accuracy of the final product is often related to the quality of the Landsat image composite.  Areas with persistent cloud cover are particularly challenging (e.g., the northeast US). Fire caused disturbances sourced from MTBS may contain data gaps where clouds, smoke, water or Landsat7 SLC-off stripes exist. Models trained from pre-fire and post-fire Landsat data are used to fill the gaps. The result is continuous severity and extent information for all MTBS fire disturbances. MTBS pixels derived from gap filling techniques, such as modeling, are noted as such in their corresponding attribute table. Smaller fires that do not meet the size criteria set forth by MTBS) may be attributed as a Burned Area Essential Climate Variable (BAECV), which are only produced for the lower 48 states. Causality and severity information assigned to a disturbance are prioritized by source, with the highest priorities reserved for fire mapping programs (MTBS, BARC and RAVG) followed by user-contributed events contained in the LF Events Geodatabase, and lastly, Landsat image based change.

Tags: annual-disturbance, annual-disturbance-2016, biota, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-24c4b125-4162-41ae-b966-6c78dfa4fb17, yearly-disturbance
Organization: Department of the Interior
2008-2017 Globigerinoides ruber Sediment Trap Data Collected from the Gulf of Mexico

This data release includes results of a high-resolution (1–2 weeks) and long-term sediment trap time series collected from the northern Gulf of Mexico. This dataset allows for a detailed assessment of the seasonal distribution, size, morphological variability and geochemistry of co-occurring pink and white chromotypes of the shallow-water foraminifera, Globigerinoides ruber. The flux of both chromotypes is highly correlated, and both represent mean annual conditions in the marine surface mixed layer. Under modern climatic conditions in the Gulf of Mexico, USGS researchers found no significant offset in the Magnesium/Calcium (Mg/Ca) and delta Oxygen-18 (d18O) of co-occurring pink and white G. ruber (Richey and others, 2019). Furthermore, findings show the d18O and delta Carbon-13 (d13C) among the two morphotypes (sensu stricto and sensu lato) of both pink and white G. ruber to be indistinguishable. The test size distribution within the population varies seasonally, with the abundance of large individuals increasing (decreasing) in summer (winter). For further information regarding data collection and/or processing methods as well as the associated published manuscript refer to Richey and others (2019).

Tags: biota, environment, foraminifera, geology, geoscientificinformation, gulf-of-mexico, louisiana, micropaleontology, oceans, protists, usgs-22e65d32-89f0-448e-913d-f6b161456f74
Organization: Department of the Interior
Salinity_na_frontal: Modeling the effects of large-scale interior headland restoration on tidal hydrodynamics and salinity transport in an open coast, marine-dominant estuary: model input and results

Using version 20.1_19 of the Discontinuous-Galerkin Shallow Water Equations Model (DG-SWEM) (Kubatko and others, 2006), astronomic tides and salinity transport were simulated at Grand Bay, Alabama (AL), under scenarios of interior headland restoration and sea level rise, as described in Passeri and others (2023). The two-dimensional DG-SWEM model can be applied to coastal and estuarine systems to solve for time-dependent hydrodynamic circulation and salinity transport. The DG-SWEM model uses the ADCIRC framework (Luettich and others, 1992) and requires inputs of an unstructured finite element mesh. For this study, the mesh domain has an open ocean boundary in the Gulf of Mexico and has higher spatial resolution elements (20 - 100 meters (m)) along the Mississippi and Alabama coast. The model mesh coordinates (latitude and longitude) and simulated average salinity concentrations are included in this data release. For further information regarding model input generation and visualization of model output, refer to Passeri and others (2023).

Tags: alabama, bathymetry, coastal-processes, digital-elevation-models, elevation, estuarine-processes, geomorphology, geoscientificinformation, grand-bay, gulf-of-mexico, north-america, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, tides-oceanic, topography, u-s-geological-survey, united-states, usgs, usgs-22e8d0b9-8cf8-465f-84a0-a659f477ba8d
Organization: Department of the Interior
One meter mosaic of acoustic backscatter data acquired using an EdgeTech 4200 and Klein 3000 sidescan sonar within Barnegat Bay New Jersey by the U.S. Geological Survey in 2011, 2012, and 2013 (GeoTIFF image, UTM 18N, WGS 84)

In 2011, the U.S. Geological Survey (USGS) in partnership with the New Jersey Department of Environmental Protection began a multidisciplinary research project to better understand the water quality in Barnegat Bay, New Jersey. This back-barrier estuary is flushed by only three inlets and is experiencing degraded water quality, algal blooms, loss of seagrass, and increases in oxygen stress, macro algae, stinging nettles, and brown tide. The scale of the estuary and the scope of the problems within it necessitate a multidisciplinary approach that includes establishing the regional geology, its physical characteristics, and modeling how the estuary's morphology interacts to affect its water quality. Scientists from USGS Coastal and Marine Geology Program offices in Woods Hole, Massachusetts, and St. Petersburg, Florida, began mapping the sea floor of the Barnegat Bay-Little Egg Harbor estuary in November 2011 and completed in September 2013. With funding from the New Jersey Department of Environmental Protection and logistical support from the USGS New Jersey Water Science Center, they collected data with a suite of geophysical tools, including swath bathymetric sonar for measuring sea floor depth, a sidescan sonar for collecting acoustic-backscatter data (which provides information about sea floor texture and sediment type), subbottom profiler for imaging sediment layers beneath the floor of the estuary, and sediment samples with bottom photographs for ground validation of the acoustic data. More information about the individual surveys conducted as part of the Barnegat Bay Project can be found on the Woods Hole Coastal and Marine Science Center Field activity webpages: 2011-041-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-041-FA 2012-003-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2012-003-FA 2013-014-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-014-FA 2013-030-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2013-030-FA

Tags: 2011, 2012, 2013, backscatter, barnegat-bay, barnegat-inlet, coastal-and-marine-geology-program, edgetech-4200, field-activity-serial-number-2011-041-fa, field-activity-serial-number-2012-003-fa, field-activity-serial-number-2013-014-fa, forked-river, geospatial-datasets, image-mosaics, imagerybasemapsearthcover, klein-3000, little-egg-harbor, little-egg-inlet, mantoloking, marine-geology, marine-geophysics, metedeconk-river, oceans, rv-rafael, sea-floor, sea-floor-acoustic-reflectivity, seafloor, sidescan-sonar, st-petersburg-coastal-and-marine-science-center, state-of-new-jersey, toms-river, tuckerton, u-s-geological-survey, united-states-of-america, usgs, usgs-22edd3aa-8c00-4f7a-9c66-96d7ea8677a0, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Unprocessed aerial imagery from 1 December 2016 coastal survey of Central California.

This is a set of 3234 oblique aerial photogrammetric images and their derivatives, collected from San Francisco to Monterey with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-22f542a1-7a32-4192-8016-9c4823969894, visible-light-imaging
Organization: Department of the Interior
Total atmospheric deposition of reduced nitrogen in the United States Pacific Northwest for 2002

This spatial data set was created by the U.S. Geological Survey (USGS) to represent the amount of wet and dry deposition 
of reduced nitrogen in the Pacific Northwest region of the United States (Hydro Region 17; Major River Basin 7 (MRB7)) 
during 2002.

Tags: atmospheric-deposition, idaho, inlandwaters, major-river-basins, montana, nawqa, nitrogen, oregon, pacific-northwest, pnw, sparrow, usgs-22f5b4e3-352f-43c1-bf9c-60d8f194a8f6, washington
Organization: Department of the Interior