AndreaBozzo/ceres-open-data-index huggingface dataset:
Bathymetric depth contours at 5 meter intervals derived from interferometric sonar data collected offshore of Massachusetts within Vineyard Sound by the U.S. Geological Survey in 2009, 2010, and 2011 (VS_5MCNTR_V2, Esri Shapefile, Geographic, WGS84).

These data were collected under a cooperative agreement with the Massachusetts Office of Coastal Zone Management (CZM) and the U.S. Geological Survey (USGS), Coastal and Marine Geology Program, Woods Hole Coastal and Marine Science Center (WHSC). Initiated in 2003, the primary objective of this program is to develop regional geologic framework information for the management of coastal and marine resources. Accurate data and maps of sea-floor geology are important first steps toward protecting fish habitat, delineating marine resources, and assessing environmental changes due to natural or human impacts. The project is focused on the inshore waters of coastal Massachusetts, primarily in water depths of 3-30 meters deep. Data collected for the mapping cooperative have been released in a series of USGS Open-File Reports (http://woodshole.er.usgs.gov/project-pages/coastal_mass/). The data collected in the study area located in Vineyard Sound Massachusetts includes high-resolution geophysics (bathymetry, backscatter intensity, and seismic reflection). The data were collected during three separate surveys conducted between 2009 and 2011and cover approximately 340 square kilometers of the inner continental shelf. More information about the individual USGS surveys conducted as part of the Vineyard Sound project can be found on the Woods Hole Coastal and Marine Science Center Field Activity webpage:
2009-002-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2009-002-FA
2010-004-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2010-004-FA
2011-004-FA: http://woodshole.er.usgs.gov/operations/ia/public_ds_info.php?fa=2011-004-FA

Tags: 2009, 2010, 2011, atlantic-ocean, bathymetry, cape-cod, cmgp, coastal-and-marine-geology-program, contouring, contours, elevation, field-activity-number-2009-001-fa, field-activity-number-2010-004-fa, field-activity-number-2011-004-fa, field-activity-serial-number-09002, field-activity-serial-number-10004, field-activity-serial-number-11004, geospatial-datasets, interferometric-sonar, m-v-megan-t-miller, m-v-scarlett-isabella, marine-geology, massachusetts, nantucket-sound, north-america, oceans, polyline-shapefile, sea-floor, sea-floor-characteristics, seafloor, swath-bathymetry, swathplus, u-s-geological-survey, united-states, usgs, usgs-65301993-f045-4059-a3b5-6238123b6b14, usgs-infobank-id-m-2-09-bz, usgs-infobank-id-u-04-11-bz, usgs-infobank-id-u-4-10-bz, vineyard-sound, whsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Total suspended solids and particle size distributions from grab samples collected during four 0.25-day profiling periods in south San Francisco Bay, California, summer 2020

Water samples were collected in south San Francisco Bay on four days in July 2020. The water samples were collected near pre-established USGS instrument moorings with a Niskin bottle, lowered from the R/V Snavely. Data are provided in comma-delimited values spreadsheets.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, field-observation, field-sampling, marine-water-quality, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, san-francisco-bay, state-of-california, suspended-material-water, u-s-geological-survey, usgs, usgs-3690ce71-c380-4093-84e2-e2e274a3a4cd, water-quality-parameters, water-sampling
Organization: Department of the Interior
Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2023

This portion of the USGS data release presents bathymetry data collected during surveys performed in the Columbia River littoral cell and mouth of the Columbia River, Washington and Oregon, in 2023 (USGS Field Activity Number 2023-644-FA). Bathymetry data were collected using four personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of either an Odom Echotrac CV-100 or CEE Hydrosystems Ceescope single-beam echosounder and 200 kHz transducer with a 9-degree beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during the survey. Positioning of the survey vessels was determined at 5 to 10 Hz using either Trimble R9s or Trimble BD990 GNSS receivers. Output from the GNSS receivers and sonar systems were combined in real time on the PWC by a computer running HYPACK hydrographic survey software. Navigation information was displayed on a video monitor, allowing PWC operators to navigate along survey lines at speeds of 2 to 3 m/s. Survey-grade positions of the PWCs were achieved with a single-base station and differential post-processing. Positioning data from the GNSS receivers were post-processed using Waypoint Grafnav to apply differential corrections from a GNSS base station with known horizontal and vertical coordinates relative to the North American Datum of 1983. Orthometric elevations relative to the NAVD88 vertical datum were computed using National Geodetic Survey Geoid12a offsets. Bathymetric data were merged with post-processed positioning data and spurious soundings were removed using a custom Graphical User Interface (GUI) programmed with the computer program MATLAB. The average estimated vertical uncertainty of the bathymetric measurements is 10 cm. The final point data from the PWCs are provided in a comma-separated text file and are projected in cartesian coordinates using the Washington State Plane South, meters coordinate system.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, clatsop-county, cmhrp, coastal-and-marine-hazards-and-resources-program, columbia-river, echo-sounders, elevation, global-positioning-system-gps-observations, gps-global-positioning-system, gps-measurement, grays-harbor-county, marine-geophysics, pacific-coastal-and-marine-science-center, pacific-county, pacific-ocean, pcmsc, sea-floor-characteristics, single-beam-echo-sounder, u-s-geological-survey, usgs, usgs-65668187d34e17319deceb6c, water-depth
Organization: Department of the Interior
Continuous Resistivity Profile Tracklines of Data Collected in 2005 in the Neuse River, North Carolina

The Neuse River Estuary in North Carolina is a broad, V-shaped water body located on the southwestern end of Pamlico Sound. This estuary suffers from severe eutrophication for which several water quality models have recently been developed to aid in the management of nutrient loading to the estuary. In an effort to help constrain model estimates of the fraction of nutrients delivered by direct ground-water discharge, continuous resistivity profile (CRP) measurements were made during the spring of 2004 and 2005. CRP is used to measure electrical resistivity of sediments, a property that is sensitive to difference in salinity of submarine ground water. The 2004 and 2005 surveys used floating resistivity streamers of 100 m and 50 m respectively. The depth penetration of the streamers is approximately 20% of the streamer length which translates to approximately 20-25 m with the 100 m streamer and 12-14 m with the 50 m streamer. These data were processed using AGI's EarthImager 2D software. CRP data enables the mapping of the extent and depth of the fresher ground water within the estuary.

Tags: cmgp, coastal-and-marine-geology-program, continuous-resistivity-profiling, crp, geospatial-datasets, marine-resistivity, navigation, navigational-data, neuse-river, north-america, north-carolina, of-2005-1306, open-file-report, pamlico-sound, polyline, shapefile, trackline, u-s-geological-survey, united-states, usgs, usgs-a0b7d189-e5d0-4b53-9218-c231fb715800, woods-hole-science-center
Organization: Department of the Interior
Overlapping seabed images collected at Big Pine Ledge coral reef, Florida, 2022

A total of 118,965 underwater images were collected at Big Pine Ledge, Florida, in July 2022, using the novel SfM (Structure-from-Motion) Quantitative Underwater Imaging Device with 5 cameras (SQUID-5) system. The SQUID-5 is a towed surface vehicle with five downward-looking underwater cameras developed by the U.S. Geological Survey (USGS), and records images in the Tagged Image File Format (.tif) to maintain the highest resolution and bit depth. Each image includes imagery header metadata (including, but not limited to: Global navigation satellite system (GNSS) date, time, latitude, longitude, and altitude of the GNSS antenna mounted on the vehicle, copyright, and keywords).

Tags: big-pine-ledge, cmhrp, coastal-and-marine-hazards-and-resources-program, elevation, geospatial-datasets, global-positioning-system-gps-observations, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, reef-ecosystems, remote-sensing, seabed, spcmsc, st-petersburg-coastal-and-marine-science-center, state-of-florida, structure-from-motion, u-s-geological-survey, usgs, usgs-4b52641a-2100-4450-ad1c-1e31b17a0ff5, visible-light-imaging
Organization: Department of the Interior
DS926 Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system in Florida and parts of Georgia, Alabama, and South Carolina -- Points where head differences were calculated across the OCAPLPZ

Digital surfaces and thicknesses of selected hydrogeologic units of the Floridan aquifer system 
were developed to define an updated hydrogeologic framework as part of the U.S. Geological 
Survey Groundwater Resources Program. This feature class contains computed head difference 
from wells open to aquifer above and below the OCAPLPZ.

Tags: above, alabama, below, environment, florida, floridan-aquifer-system, geology, georgia, geoscientificinformation, head-differences, hydrogeology, inlandwaters, ocala-avon-park-low-permeability-zone, ocaplpz, open-to-aquifer, regional-groundwater-availability-study, south-carolina, stratigraphy, top, united-states-geological-survey, usgs, usgs-90ec29c6-ad17-4262-afbe-92b86b244593, wells
Organization: Department of the Interior
Aquifer Boundary of the Wood River Valley Aquifer System, South-Central Idaho

This dataset contains the boundary of the Wood River Valley aquifer system as modified 
and expanded from that defined by Skinner and others (2007): It has been extended farther 
up several tributary canyons, extended up the Big Wood River to include a number of wells 
near the mouth of Baker Creek, expanded to include the western side of the Poverty Flat 
area, and extended slightly downstream of Stanton Crossing and Picabo. Although most 
of the boundary delineated by Skinner and others (2007) has been retained here, 
modifications were made in places to include information from additional wells that 
penetrated bedrock below alluvium.This dataset was created in support of the third phase 
of a continuing U.S. Geological Survey (USGS) study to assess the groundwater resources 
of the Wood River Valley, south-central Idaho. The first phase was documented in 
"Water-resource trends and comparisons between partial development and October 2006 
hydrologic conditions, Wood River Valley, south-central Idaho" (Skinner and others, 2007), 
and the second phase was documented in "Ground-water budgets for the Wood River Valley 
aquifer system, south-central Idaho"(Bartolino, 2009). The third phase is a description of the 
hydrogeologic framework of the Wood River Valley aquifer system. The Wood River Valley 
contains most of the population of Blaine County and the cities of Sun Valley, Ketchum, 
Hailey, and Bellevue. This mountain valley is underlain by the alluvial Wood River Valley 
aquifer system. The entire population of the area depends on groundwater for domestic 
supply and rapid population growth since the 1970s has caused concern about the long-term 
sustainability of the groundwater resource. References cited:Bartolino, J.R., 2009, Ground-water 
budgets for the Wood River Valley aquifer system, south-central Idaho: U.S. Geological Survey 
Scientific Investigations Report 2009-5016, 36 p.Skinner, K.D., Bartolino, J.R., and Tranmer, 
A.W., 2007, Water-resource trends and comparisons between partial development and October 
2006 hydrologic conditions, Wood River Valley, south-central Idaho: U.S. Geological Survey 
Scientific Investigations Report 2007-5258, 31 p., 4 plates, 1 appendix.

Tags: aquifers, bellevue, big-wood-river, blaine-county, environment, gannett, geoscientificinformation, groundwater, hailey, hydrogeology, idaho, inlandwaters, ketchum, picabo, silver-creek, sun-valley, usgs-a771961d-816f-4ac1-85d5-9a7d20757a25, wood-river-valley
Organization: Department of the Interior
Santa Teresa, New Mexico Wells: Municipal and Industrial Monthly Pumping Rates for the Rio Grande transboundary integrated hydrologic model and water-availability analysis, New Mexico and Texas, United States, and Northern Chihuahua, Mexico

This dataset contains monthly pumping rates for municipal and industrial (MnI) wells in the Santa Teresa, New Mexico network within the Rio Grande Transboundary Integrated Hydrologic Model (RGTIHM). In RGTIHM, these wells are considered the Santa Teresa, New Mexico (NMST) group. Monthly pumping rates are presented in units of cubic feet per day for the period from March 1940 through December 2014.

Tags: aquifer, caballo-reservoir, chihuahua, el-paso, elephant-butte-reservoir, geology, groundwater-pumping, groundwater-system, hydraulic-properties, hydrogeology, hydrology, hydrostratigraphy, las-cruces, new-mexico, rio-grande, texas, transboundary, usgs-5ba03dc9e4b08583a5c27c69
Organization: Department of the Interior
Wetlands in the state of Arizona

We created a single map of surface water presence by intersecting water classes from available land cover products (National Wetland Inventory, Gap Analysis Program, National Land Cover Database, and Dynamic Surface Water Extent) across the U.S. state of Arizona. We derived classified samples for four wetland classes from the harmonized map: water, herbaceous wetlands, wooded wetlands, and non-wetland cover. In Google Earth Engine (GEE) we developed a random forest model that combined the training data with spatially explicit predictor variables of vegetation greenness indices, wetness indices, seasonal index variation, topographic variables, and hydrologic parameters. The final product is a wall-to-wall map of general wetland types covering all of Arizona. Results show that the final model separates the four wetland classes with an overall accuracy of 86.2%. 
This data release comprises the raster map file (TIF format) resulting from the training data and random forest model. The 30-m resolution map has 4 classes: not water or wetland (class 0), open water (class 1), herbaceous wetland (class 2), and wooded wetland (class 3).

Tags: desert-ecosystems, deserts, imagerybasemapsearthcover, land-use-and-land-cover, land-use-and-land-cover-map, usgs-651c4e52d34e44db0e2ce0fc, wetlands
Organization: Department of the Interior
1990s bird and vegetation data from UMR floodplain forest

From 1994-1997 I surveyed breeding birds and sampled vegetation at 391 random points on UMR floodplain forest along a latitudinal gradient to characterize bird assemblages and associations with gradients in forest structure at the local survey point and land cover composition within 200m radius of survey points (landscape scale). We conducted 10 minute 50m fixed radius point counts (Ralph et al. 1993) to survey birds during the breeding period between 30 May and 10 July in all years. We sampled the southernmost pool (13) first and then progressed to each pool in succession northward, finishing in Pool 4, sampling each point once a season. Surveys were conducted from 30 minutes before to five hours after local sunrise. We recorded all birds seen and heard within a ten-minute sampling period and mapped locations data sheets within and beyond 50m from the observer (as determined by visual estimation). We recorded vegetation cover using a releve’ (Mueller-Dombois and Ellenberg 1974) within a 10m radius surrounding the survey point immediately following each bird survey. We estimated cover classes (&lt;5%, 5-25%, 26-50%, 51-75%, 76-100%) for vegetation in four vertical layers (canopy, subcanopy, understory, ground), as well as litter cover and depth, or water cover and depth if the area was partially flooded. Heights of these layers differed among different sites and not all layers were present at all sites. We noted the three tree species with the most cover in the canopy and subcanopy each. We estimated canopy and subcanopy height (m) using a clinometer, and visually estimated understory and ground layer height (m). We estimated litter depth (cm) by taking the average of three readings from the ground to the top of the litter layer using a ruler. Beginning in 1995 the number of standing snags (&gt;10cm dbh) within the 50m radius were counted as seen from center of the survey circle.  Within 200m buffers of each sample point, I estimated the area (m2) of forest, wet meadow, dry grassland, emergent wetland, shrub carr, urban, agricultural, and open water habitats, and lengths of edges between these habitats (m) extracted from 1:15,000 scale GIS coverages based on 1989 color infrared aerial photos of study pools using ARC/INFO.

Tags: biota, breeding-songbirds, floodplain-forest, pool-12-upper-mississippi-river-usa, pool-13-upper-mississippi-river-usa, pool-4-upper-mississippi-river-usa, pool-5-upper-mississippi-river-usa, pool-7-upper-mississippi-river-usa, pool-8-upper-mississippi-river-usa, usgs-5cc0a097e4b09b8c0b724910
Organization: Department of the Interior
Soil and surface water nitrogen and caffeine data from 2019, and 2019-2020 trail counts of hikers in Loch Vale Watershed, Rocky Mountain National Park

Daily visitor use in Rocky Mountain National Park has increased substantially since 2014, raising questions about the impact of human waste on water quality in popular areas without latrines. Human urine contributes nitrogen, and the ecological and biogeochemical effects of nitrogen from atmospheric deposition have long been the topic of study in Loch Vale watershed, Rocky Mountain National Park. Nitrogen from atmospheric deposition has been found previously to lead to lake eutrophication and altered algal species assemblages. Our data were collected to evaluate the impacts of visitors to a popular alpine watershed in Rocky Mountain National Park. There are three separate data files: soil sample locations and concentrations of nitrate, ammonium, and caffeine (used as a marker of human waste) for May-September 2019; surface water sample locations and concentrations of nitrate, ammonium, and caffeine (used as a marker of human waste) for May-September 2019; and trail count data for June-September 2019 and 2020. The study was conducted by USGS and Rocky Mountain National Park researchers and yielded results regarding the nitrogen input (which was calculated as 2% of total annual N inputs) and also revealed information on visitor behavior, namely that many visitors do not follow standard Leave No Trace guidelines for locating privy sites 200 feet or more from a water body.

Tags: environment, nitrogen, parks, soil-chemistry, usgs-6377ead0d34ed907bf6fd1b2, water-quality
Organization: Department of the Interior
Metamodeling for Groundwater Age Forecasting in the Lake Michigan Basin

Groundwater age is an important indicator of groundwater susceptibility to anthropogenic contamination and a key input to statistical models for forecasting water quality. Numerical models can provide estimates of groundwater age, enabling interpretation of measured age tracers. However, to extend to national-scale groundwater systems where numerical models are not routinely available, a more efficient  metamodeling approach can provide a less precise but widely applicable estimate of groundwater age, trained to make forecasts based on predictor variables that can be measured independent of numerical models. We trained gradient-boosted regression tree statistical metamodels to MODFLOW/MODPATH derived groundwater age estimates in five inset models in the Lake Michigan Basin, USA. Using high-throughput computing, we explored an exhaustive range of tuning parameters and tested metamodels through cross validation, a 20% holdout, and a round-robin approach among the five inset models withholding each inset model from training and testing on the held-out inset model. Forecast skill--measured by Nash Sutcliffe efficiency--was high for age-related responses in the 20% holdout case (ranging from 0.73 to 0.84). The round robin analysis provided the opportunity to explore extending to unmodeled areas and a greater range of skill indicated the need to evaluate when it is appropriate to apply a metamodel from one region to another. We further explored the ramifications of metamodel simplification achieved through removing predictor variables based on their estimated importance. We found that similar metamodel performance was achievable with a fraction of the candidate set of predictor variables with well-construction variables being most important.

Tags: groundwater, groundwater-age, illinois, indiana, lake-michigan-basin, metamodel, michigan, nawqa, usgs-5abd076ee4b081f61abfb735, wisconsin
Organization: Department of the Interior
Potential suitable habitat for Coachella Valley milk-vetch (Astragalus lentiginosus var. coachellae) in the California desert

Here we present the map of potential suitable habitat for Coachella Valley milk-vetch (Astragalus lentiginosus var. coachellae). The data indicate both how many models predicted each location to be potentially suitable for the species and the average standardized habitat suitability score for each location.Data are presented at a spatial resolution of 10 m pixels, which was required to harmonize the original model inputs. However, maps of suitable habitat should be used at a resolution no smaller than 360 m (i.e., 36 pixels x 36 pixels), which corresponds with the resolution of the coarsest model input. These data are intended to be used only to target future plant surveys in areas where new occurrences are most likely to benefit future habitat modelling efforts. Complete methods and other additional information are provided in the article associated with this data release (Reese and others, 2019).

Tags: biota, species-distribution-model, usgs-5c99609be4b0b8a7f6289143
Organization: Department of the Interior