AndreaBozzo/ceres-open-data-index huggingface dataset:
Daily streamflow performance benchmark defined by the standard statistical suite (v1.0) for the National Hydrologic Model application of the Precipitation-Runoff Modeling System (v1 byObs Muskingum) at benchmark streamflow locations in the conterminous United States (ver 3.0, March 2023)

This data release contains the standard statistical suite (version 1.0) daily streamflow performance benchmark results for the National Hydrologic Model Infrastructure application of the Precipitation-Runoff Modeling System (NHM-PRMS) version 1 "byObs" calibration with Muskingum routing computed at streamflow benchmark locations defined by Foks and others (2022). Model error was determined by evaluating predicted daily mean streamflow versus observed daily mean streamflow using various statistics; the Nash-Sutcliffe efficiency (NSE), the Kling-Gupta efficiency (KGE), the logNSE, the Pearson correlation coefficient, the Spearman correlation coefficient, the ratio of the standard deviation, the percent bias, the percent bias in flow duration curve midsegment slope, the percent bias in the flow duration curve high-segment volume, and the percent bias in flow duration curve low-segment volume. Two climatological KGE benchmarks are included that are calculated using daily mean streamflow observations and interannual daily mean or median flows. Additionally, KGE uncertainty estimates have been added as a separate csv file including the standard error of jackknife, standard error of bootstrap, the 5th, 50th and 95th percentiles of the estimates, the jackknife score, the bias of jackknife, the bias of bootstrap, and the standard error of jackknife after bootstrap.

Tags: hydrology, inlandwaters, model-evaluation, statistical-analysis, streamflow, streamflow-prediction, usgs-6239f05ad34e915b67cddc31
Organization: Department of the Interior
Aerial imagery from UAS survey of the intertidal zone at West Whidbey Island, WA, 2019-06-04

This portion of the data release presents the raw aerial imagery collected during the unmanned aerial system (UAS) survey of the intertidal zone at West Whidbey Island, WA, on 2019-06-04. The imagery was acquired using a Department of Interior-owned 3DR Solo quadcopter fitted with a Ricoh GR II digital camera featuring a global shutter. Flights using both a nadir camera orientation and an oblique camera orientation were conducted. For the nadir flights (F04, F05, F06, F07, and F08), the camera was mounted using a fixed mount on the bottom of the UAS and oriented in an approximately nadir orientation. The UAS was flown on pre-programmed autonomous flight lines at an approximate altitude of 70 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 1.8 centimeters per pixel. The flight lines were oriented roughly shore-parallel and were spaced to provide approximately 70 percent overlap between images from adjacent lines. For the oblique orientation flights (F03, F09, F10, and F11), the camera was mounted using a fixed mount on the bottom of the UAS and oriented facing forward with a downward tilt. The  UAS was flown manually in a sideways-facing orientation with the camera pointed toward the bluff. The camera was triggered at 1 Hz using a built-in intervalometer. After acquisition, the images were renamed to include flight number and acquisition time in the file name. The coordinates of the approximate image acquisition location were added ('geotagged') to the image metadata (EXIF) using the telemetry log from the UAS onboard single-frequency autonomous GPS. The image EXIF were also updated to include additional information related to the acquisition. Although the images were recorded in both JPG and camera raw (Adobe DNG) formats, only the JPG images are provided in this data release. The data release includes a total of 3,336 JPG images. Images from takeoff and landing sequences were not used for processing and have been omitted from the data release. The images from each flight are provided in a zip file named with the flight number.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, chmrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, elevation, geomorphology, geoscientificinformation, geospatial-datasets, hastie-lake-county-park, image-mosaics, island-county, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, remote-sensing, salish-sea, state-of-washington, strait-of-juan-de-fuca, structure-from-motion, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-5ef53f1b82ced62aaae6a0c5, whidbey-island
Organization: Department of the Interior
Lithologic Descriptions of Bottom Sediments for the New England coast and the Gulf of Maine region (SMITHSONIAN shapefile)

These data, which comprise part of the Smithsonian Institution Master Sediment data file, were abstracted by the staff of the Smithsonian Institution from materials submitted for archival by various groups and individuals.  Most of the data in this set were collected by the National Ocean Service (NOS, formerly the U.S. Coast and Geodetic Survey) for the purpose of charting the coastal waters and navigable waterways of the United States.  Prior to 1985, the NOS data were released as part of the National Ocean Surveys Hydrographic Database.  After 1985, sediment samples collected by NOS during surveys were transferred to the Smithsonian for archival and textural analysis.  All of the data in this set were collected post 1985 and have been processed by the Smithsonian.  These data were supplied by the National Geophysical Data Center (NGDC), but this data set contains fields that are only a subset of those fields available in the full Smithsonian data set. For example, the data have been clipped to eliminate those stations that were not from the Gulf of Maine, Georges Bank, or the shelf and slope off southeastern New England. Last update of this file was July, 2001.

Tags: atlantic, bottom, buzzards-bay, cmgp, coastal-and-marine-geology-program, connecticut, continental-shelf, continental-slope, georges-bank, geoscientificinformation, geospatial-datasets, gis, gulf-of-maine, lithology, location, maine, marine-geology, massachusetts, massachusetts-bay, national-geophysical-data-center, national-ocean-survey, navigational-data, new-hampshire, ngdc, nos, oceans, open-file-report-03-001, point-shapefile, points, rhode-island, sea-floor-characteristics, sediment, sediment-classification, smithsonian, smithsonian-institution-master-sediment-data-file, surficial-classification, surficial-sediments, u-s-east-coast, u-s-geological-survey, usgs, usgs-5fdfba80-9e7b-4b8f-b978-875826e91c19, whsc, woods-hole-science-center
Organization: Department of the Interior
Southeast Regional Stream Quality Assessment Ecological Data

Aquatic ecological surveys are valuable to understanding the interaction between the biotic and abiotic components in rivers and streams. However, large-scale assessments of the water chemistry, geomorphology, and ecological community are usually not feasible due to limited resources. Beginning in 2013, the Regional Stream Quality Assessment Project of the US Geological Survey’s National Water Quality Program, began sampling 89-120 streams in each of 5 regions across the conterminous United States—the Midwest (2013), Southeast (2014), Pacific Northwest (2015), Northeast (2016), and California (2017). Sampling included water and streambed sediment chemistry, stage and temperature (Journey and others, 2015). The abiotic data is available from the National Water Information System (nwis.waterdata.usgs.gov). Geospatial data for the Southeastern U.S. study sites are available from Qi and others (2017). Ecological data collected included benthic algae, macroinvertebrates, and fish communities, in addition to in-stream habitat and geomorphology measurements for each reach. Ecological and habitat data for the Southeastern United States are summarized in this data release.

Tags: alabama, algae, aquatic-community, diatoms, fish, georgia, habitat, invertebrates, north-carolina, river, south-carolina, southeast, southeastern-united-states, united-states, usgs-5aff1b0be4b0da30c1bfd4e8, virginia
Organization: Department of the Interior
GNSS Topography Survey Data Collected from Tres Palmas, Rincón, Puerto Rico

This data release presents the post-processed Global Navigation Satellite System (GNSS) ground-survey data acquired during the installation of a camera system at Tres Palmas, Rincón, Puerto Rico (PR). The data contains topographic survey data collected during the installation of the camera. Data were collected on foot, by a person equipped with a GNSS antenna affixed to a backpack outfitted for surveying location and elevation data (XYZ). The GNSS measurements were made using Post-Processed Kinematic (PPK) corrections referenced to a temporary base station located approximately 250 meters from the study area.

Tags: altimetry, balneario-de-rincon, bathymetry-and-elevation, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, commonwealth-of-puerto-rico, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, ensenada-barrio, geology, geomorphology, geoscientificinformation, global-positioning-system-gps-observations, gps-measurement, island-of-puerto-rico, marine-geology, oceans, pacific-coastal-and-marine-science-center, pcmsc, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg-gt-coastal, punta-ensenada, rincon-municipio, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, usgs, usgs-02ddd207-791b-421d-bb38-7c06e9535aa2
Organization: Department of the Interior
Continuous Seismic Profiling (CSP) at Callahan Mine Site: May 2017 to July 2018

In May 2017 and July 2018, continuous seismic profiling (CSP) surveys were collected in Goose Pond at the Callahan Mine site. The chirp frequency CSP tool was used in the deep water. A tuned transducer (dual-echo sounder) was used in the shallow water, and the data are served separately but within this data release (See CSP-DSO). CSP methods use an acoustic sound source that travels through the water column, reflects off the bottom and sub-bottom layers and is received at the transducer. Using a water column velocity, the two-way travel time can be converted to distance. CSP methods provide the depth to water bottom, and when sufficient signal penetration can be achieved, CSP can be used to delineate the depth and topography of the subbottom layers and/or the bedrock surface. 
In a limited number of places, the bedrock surface was observed in the CSP record, creating a discontinuous and sporadic image of the bedrock surface. Some profiles exhibited multiple stratigraphic layers. The interpretation of subsurface in the seismic record generally matched depths to till or bedrock observed in core data (when/where the signal penetrated the subbottom). However, in many places, CSP surveys were adversely affected by a highly reflective water bottom, which caused strong multiples in the seismic record and limited to no depth of penetration. These multiples are attributed to the signal reflecting off of an acoustically hard layer caused by entrapped gas (methane) in the sediments, compacted sediments, or bedrock. The returning signal reflects off of the water/air interface, returns to the acoustic hard layer and reverberates between these two interfaces.

Tags: continuous-seismic-reflection, geophysics, groundwater, seismic-methods, usgs-5cb7c980e4b0c3b0065d8153
Organization: Department of the Interior
Astrogeology Science Center Monthly Report, February 1961

Monthly report to show updates on highlights and noteworthy results, personnel, conferences and scientific meetings, and visitors. Includes unpublished works and works in progress.

Tags: astrogeology, astrogeology-branch-history, branch-history, geoscientificinformation, planetary-sciences, usgs-63112684d34e36012efa108d
Organization: Department of the Interior
Hydrodynamic time-series data from two marshes and adjacent shallows in Northern San Francisco Bay, California, 2022-2023

Hydrodynamic and sediment transport time-series data, including water depth, velocity, turbidity, conductivity, and temperature, were collected by the U.S. Geological Survey (USGS) Pacific Coastal and Marine Science Center at shallow subtidal and intertidal sites in Corte Madera Bay and San Pablo Bay National Wildlife Refuge (SPNWF) in San Francisco Bay, CA, as well as on the marsh plain of SPNWF marsh and in a tidal creek and on the marsh plain of Corte Madera Marsh, in 2022 and 2023. Data files are grouped by station, San Pablo subtidal, San Pablo intertidal, San Pablo marsh, Corte Madera subtidal, Corte Madera intertidal, Corte Madera marsh, or Corte Madera tidal creek, then by instrument type. At most stations there were periods of low water when sensors were no longer submerged, resulting in spurious data. In addition, most instruments experienced some degree of biofouling, particularly at the subtidal and intertidal stations. The subtidal stations also occasionally show signs of platform rocking or movement due to strong water flow, and/or from accidental fisher/boater interference. Users are advised to assess data quality carefully, and to check the metadata for instrument information, as platform deployment times and data-processing methods varied.

Tags: aquatic-ecosystems, cmhrp, coastal-and-marine-hazards-and-resources-program, conductivity, corte-madera-bay, corte-madera-marsh, ctd, ctd-measurement, field-observation, marin-county, marine-water-quality, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, salinity, san-francisco-bay, san-pablo-bay, san-pablo-bay-national-wildlife-refuge, seabed, sediment-transport, shallow-water-habitat, sonoma-county, state-of-california, suspended-material-water, tidal-currents, tidal-height, tidal-shallows, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-f5ac7033-3b7e-45b9-8f62-1a966e19577b, water-depth, water-level-measurements, water-pressure, water-quality-parameters, water-temperature, wave-height-gauges, wave-observations
Organization: Department of the Interior
Estimates of agricultural cropping-practices in counties in the conterminous United States as reported in the 1987 Census of Agriculture

This coverage contains estimates of agricultural cropping-practices in counties 
in the conterminous United States as reported in the 1987 Census of Agriculture (U.S. Department 
of Commerce, 1989a). Agricultural cropping-practice data are reported as either acres, or as a 
percentage of county area. Agricultural cropping-practice estimates were generated from surveys 
of all farms where $1,000 or more of agricultural products were sold, or normally would have been 
sold, during the census year.
		
Most of the attributes summarized represent 1987 data, but some information for the 1982 
Census of Agriculture also was included.
		
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).
		
Crops
Agricultural cropping-practices
Census of Agriculture
Counties
United States

Tags: agricultural-cropping-practices-in-counties-from-the-1987-census-of-agriculture, environment, geoscientificinformation, inlandwaters, usgs-ed1f0e58-d43a-443c-be20-a8a9f3f78b75
Organization: Department of the Interior
Lumber River at Lumberton, North Carolina Flood Map Files from October 2016

These polygon boundaries, inundation extents, and depth rasters were created to provide an extent of flood inundation along the Lumber River within the community of Lumberton, North Carolina. The upstream and downstream reach extent is determined by the location of high-water marks, not extending the boundary far past the outermost high-water marks. In areas of uncertainty of flood extent, the model boundary is lined up with the flood inundation polygon extent. This boundary polygon was used to extract the final flood inundation polygon and depth layer from the flood water surface raster file.  
The passage of Hurricane Matthew through central and eastern North Carolina during October 7-9, 2016, brought heavy rainfall which resulted in major flooding. More than 15 inches of rain were recorded in some areas. Over 600 roads were closed including Interstates 95 and 40, and nearly 99,000 structures were impacted by floodwaters. Immediately after the flooding, the U.S. Geological Survey (USGS) documented 267 high-water marks (HWM), of which 254 were surveyed. The North Carolina Emergency Management documented and surveyed 353 HWMs. Six communities were mapped using Geographic Information Systems.

Tags: boundary, extent, flood, flood-inundation-maps, flooded-area, geospatial-analysis, high-water-marks, lumberton, north-carolina, river-stream, study-area, usgs-58f9741ae4b0b7ea54522b07
Organization: Department of the Interior
Pesticide and Pharmaceutical Exposure Data for Select Streams within Great Smoky Mountains National Park, 2019

This dataset included the concentration results (in nanograms per liter) for 328 pharmaceutical and pesticide compounds analyzed within the Great Smoky Mountain National Park, Tennessee and North Carolina, in 2019.  Two samples were collected (July and September) at 15 locations within the park, and one location at the park boundary.  Samples were analyzed at the National Water Quality Laboratory (NWQL) in Denver, Colorado.

Tags: biota, designed-bioactive-contaminants, great-smoky-mountain-national-park, north-carolina, pesticides, pharmaceuticals, tennessee, usgs-5f89e8c582ce324187893867, water-quality
Organization: Department of the Interior
Chesapeake Bay Nontidal Network 1985-2018: WRTDS input data

Nitrogen, phosphorus, and suspended-sediment loads, and changes in loads, in rivers across the Chesapeake Bay watershed have been calculated using monitoring data from the Chesapeake Bay Nontidal Network (NTN) stations for the period 1985 through 2018. Nutrient and suspended-sediment loads and changes in loads were determined by applying a weighted regression approach called WRTDS (Weighted Regression on  Time, Discharge, and Season).  The load results represent the total mass of nitrogen, phosphorus, and suspended sediment that was exported from each of the NTN watersheds. The files containing all inputs required to run WRTDS for all applicable NTN monitoring stations are provided in the "Attached Files" section.

Tags: chesapeake-bay-watershed, delaware, load-analysis, maryland, new-york, nitrogen, nutrients, pennsylvania, phosphorus, rivers, suspended-sediment, trends, united-states, usgs-5e25e210e4b014c85306f7b1, virginia, washington-dc, water-quality, weighted-regression, west-virginia, wrtds
Organization: Department of the Interior
Biophyiscal settings and wildfire frequencies in the Sonoran Desert ecological section of California, 1984 to 2013

This raster dataset contains biophysical settings (band 1) and wildfire frequencies (band 2) within the Sonoran Desert ecological section of California. Biophysical settings were developed by the LANDFIRE program and fires occurences were mapped by the Monitoring Trends in Burn Severity (MTBS) program.

Tags: biophysical-settings, california, deserts, sonoran-desert, usgs-5835f947e4b0d9329c801be5, wildfire-frequency
Organization: Department of the Interior
Delaware Atlantic coast, 2022 – Digital Elevation Models

Low altitude (300 meters above ground level (AGL)) digital aerial imagery acquired with a piloted fixed-wing aircraft was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution three-dimensional (3D) point clouds and digital elevation models (DEMs) and orthomosaic images. This dataset consists of DEMs produced from imagery collected along the Delaware Atlantic coast on June 11, 2022, to monitor coastal change.
All horizontal data are provided in the Universal Transverse Mercator (UTM) projected coordinate system, Zone 18 North (18N), referenced to the North American Datum of 1983 (NAD83(2011)), and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: aerial-photography, cape-henlopen, cape-henlopen-state-park, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delaware, delaware-seashore-state-park, digital-elevation-models, earth-sciences, elevation, geography, geomorphology, geoscientificinformation, geospatial-datasets, image-collections, imagerybasemapsearthcover, remote-sensing, structure-from-motion, topographic-maps, topography, u-s-geological-survey, usgs, usgs-647e2dc3d34eac007b55e394
Organization: Department of the Interior
SupClas, GeoSet, SubType, VegDen, VegType: Categorical landcover rasters (landcover, geomorphic setting, substrate type, vegetation density, and vegetation type): Edwin B. Forsythe NWR, NJ, 2013–2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, cmgp, coastal-and-marine-geology-program, coastal-habitat, coastal-processes, edwin-b-forsythe-nwr, environment, erosion, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, hazards, image-analysis, long-beach-island, mean-high-water, mhw, new-jersey, nj, north-america, oceans, pullen-island, scientific-interpretation, sea-level-change, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5d0bc91ee4b0941bde4fc5fb, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior