AndreaBozzo/ceres-open-data-index huggingface dataset:
Excel Spreadsheet of Piezometer Groundwater Data in the Nauset Marsh Area collected August, 2005

In order to test hypotheses about groundwater flow under and into estuaries and the Atlantic Ocean, geophysical surveys, geophysical probing, submarine groundwater sampling, and sediment coring were conducted by U.S. Geological Survey (USGS) scientists at Cape Cod National Seashore (CCNS) from 2004 through 2006. Coastal resource managers at CCNS and elsewhere are concerned about nutrients that are entering coastal waters via submarine groundwater discharge, which are contributing to eutrophication and harmful algal blooms. The research carried out as part of the study described here was designed, in part, to help refine assumptions required by earlier versions of models about the nature of submarine groundwater flow and discharge at CCNS. This study was conducted in four phases, with a variety of field techniques and equipment employed in each phase. Phase 1 consisted of continuous resistivity profiling (CRP) surveys of the entire study area conducted in 2004. Phase 2 consisted of CRP ground-truthing via resistivity probe measurements and submarine groundwater sampling from hydraulically-drive piezometers using a barge in the Salt Pond/Nauset Marsh area in 2005. Phase 3 consisted of supplemental detailed CRP surveys in the Salt Pond/Nauset Marsh area in 2006. Finally, Phase 4 consisted of sediment coring and porewater extraction in the Salt Pond/Nauset Marsh area later in 2006 to supplement the 2005 sampling.

Tags: atlantic-ocean, cape-cod, cape-cod-national-seashore, cmgp, coastal-and-marine-geology-program, geochemistry, geoscientificinformation, ground-water, groundwater, inlandwaters, marine-resistivity, massachusetts, nauset-marsh, navigational-data, north-america, oceans, of-2006-1169, open-file-report, salt-pond, submarine-ground-water, u-s-geological-survey, united-states, usgs, usgs-637b7887-1ece-438f-a257-06072e552ee0, water-chemistry, whsc-field-activity-serial-number-05035, woods-hole-science-center
Organization: Department of the Interior
Continuous Resistivity Profile Tracklines of Data Collected from Cape Cod National Seashore, Feb. 28, 2006

Continuous resistivity profiling (CRP) surveys were conducted at Cape Cod National Seashore in 2004 and 2006 in order to test hypotheses about groundwater flow under and into estuaries and the Atlantic Ocean. Coastal resource managers here and elsewhere are concerned about nutrients that are entering coastal waters via submarine groundwater discharge, which are contributing to eutrophication and harmful algal blooms. CRP is used to measure electrical resistivity of sediments, a property that is sensitive to differences in salinity of submarine ground water. The 2004 and 2006 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.

Tags: atlantic-ocean, cape-cod, cape-cod-national-seashore, cmgp, coastal-and-marine-geology-program, continuous-resistivity-profiling, crp, geospatial-datasets, inlandwaters, location, massachusetts, nauset-marsh, navigation, navigational-data, north-america, oceans, of-2006-1169, open-file-report, polyline, salt-pond, trackline, u-s-geological-survey, united-states, usgs, usgs-6378a767-b2fc-47fd-9f77-daf8e3a006ac, whsc-field-activity-serial-number-06007, woods-hole-science-center
Organization: Department of the Interior
Topographic point cloud of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01

This portion of the data release presents a topographic point cloud of the exposed Los Padres Reservoir delta where the Carmel River enters the reservoir. The point cloud was derived from structure-from-motion (SfM) processing of aerial imagery collected with an unoccupied aerial system (UAS) on 2017-11-01. The point cloud has 115,819,907 points with an average point density of 611 points per-square meter. Each point in the point cloud contains an explicit horizontal and vertical coordinate, color, intensity, and classification. Classification was performed on the point cloud to identify ground and low-noise points within the point cloud. Additional portions of the point cloud within the horizontal extent of the reservoir water surface were classified as water points (class 9) using a polygon digitized from the orthomosaic imagery also derived from this survey. Water areas on the exposed delta surface including ponded water and areas covered by the Carmel River were not classified as water. The raw imagery used to create these point clouds was acquired using a UAS fitted with a Ricoh GR II digital camera featuring a global shutter. The UAS was flown on pre-programmed autonomous flight lines spaced to provide approximately 70 percent overlap between images from adjacent lines. The camera was triggered at 1 Hz using a built-in intervalometer. The UAS was flown at an approximate altitude of 100 meters above ground level (AGL), resulting in a nominal ground-sample-distance (GSD) of 2.6 centimeters per pixel. The raw imagery was geotagged using positions from the UAS onboard single-frequency autonomous GPS. Twenty temporary ground control points (GCPs) consisting of small square tarps with black-and-white cross patterns were distributed throughout the area to establish survey control. The GCP positions were measured using real-time kinematic (RTK) GPS, using corrections from a GPS base station located on a benchmark designated SFML, located approximately 1 kilometer from the study area. The point cloud is formatted in LAZ format (LAS 1.2 specification).

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, carmel-river, chmrp, coastal-and-marine-hazards-and-resources-program, elevation, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, monterey-county, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, remote-sensing, sfm, state-of-california, structure-from-motion, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-63782af4d34ed907bf704e37
Organization: Department of the Interior
Water Quality and Molecular Data for Upper Klamath Lake, OR, 2016

Upper Klamath Lake, located in southern Oregon, is a hypereutrophic lake where cyanobacterial blooms, dominated by Aphanizomenon flos-aquae (AFA), occur every summer. The decay of excess biomass after AFA senescence leads to problematic water quality conditions including high pH ( &gt; 9) and anoxia. Water samples from the photic zone and bottom of the water column, and the flocculation layer of the bottom sediments were collected weekly at four sites within Upper Klamath Lake, Oregon during summer 2016. This data release reports the chemical and microbiological analysis of these samples.

Tags: algal-blooms, biota, molecular-biology, phytoplankton, surface-water-quality, usgs-6378204ed34ed907bf70281e
Organization: Department of the Interior
Aerial imagery from the UAS survey of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01

This portion of the data release presents the raw aerial imagery collected during the unoccupied aerial system (UAS) survey of the Los Padres Reservoir delta, Carmel River valley, CA, 2017-11-01. 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. The camera was mounted using a fixed mount on the bottom of the UAS and oriented in an approximately nadir orientation. A total of six flights were conducted for the survey between 19:35 and 22:15 UTC (12:35 and 15:15 PDT). Only the imagery from fights F03 and F06 were used for data processing and are included in this data release. All flights were conducted at an approximate altitude of 100 meters above ground level resulting in a nominal ground-sample-distance (GSD) of 2.6 centimeters per pixel. Before each flight, the camera's digital ISO, aperture, and shutter speed were adjusted for ambient light conditions. For all flights 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 locations 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. The data release includes a total of 1,033 JPG images. Images from takeoff and landing sequences were not used for processing and have been omitted from the data release. To facilitate bulk download, the images from each flight are provided in a zip file named with the flight number. In addition to the provided zip files, the images are also available for browsing and individual download on the USGS Coastal and Marine Hazards and Resources Program Imagery Data System at the following URL: https://cmgds.marine.usgs.gov/idsviewer/data_release/10.5066-P9J9CHOH.

Tags: aerial-and-satellite-photography, aerial-photography, altimetry, bathymetry-and-elevation, carmel-river, chmrp, coastal-and-marine-hazards-and-resources-program, elevation, geomorphology, geoscientificinformation, geospatial-datasets, image-mosaics, monterey-county, orthophotography, pacific-coastal-and-marine-science-center, pcmsc, photography, remote-sensing, state-of-california, structure-from-motion, topographic-maps, topography, u-s-geological-survey, uas, unmanned-aerial-system, usgs, usgs-6378191cd34ed907bf701a6c
Organization: Department of the Interior
Russian River Integrated Hydrologic Model (RRIHM): Watershed Digital Elevation Model

This is a 1/3 arc-second (approx. 10 meters) National Elevation Dataset (NED) digital elevation model (DEM) covering the Russian River watershed.  All elevation values are provided in units of meters.
The NED is the primary elevation data product produced and distributed by the USGS. The NED is derived from diverse source data, processed to a common coordinate system and unit of vertical measure. The NED provides the best available public domain raster elevation data of the conterminous United States, Alaska, Hawaii, and territorial islands in a seamless format. All NED data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83).  All elevation values are provided in units of meters, and are referenced to the North American Vertical Datum of 1988 (NAVD 88) over the conterminous United States. The vertical reference will vary in other areas. NED data are available nationally at resolutions of 1 arc-second (approx. 30 meters) and 1/3 arc-second (approx. 10 meters), and in limited areas at 1/9 arc-second (approx. 3 meters). The NED is updated on a nominal two month cycle to integrate newly available, improved elevation source data.
This DEM was downloaded in 2014, when The National Map's elevation dataset was known as The National Elevation Dataset (NED). It has since become the 3D Elevation Program  (3DEP). See 3DEP website (https://www.usgs.gov/3d-elevation-program) for more information.

Tags: california, digital-elevation-models, elevation, hydrology, modeling, national-elevation-dataset, ned, russian-river, united-states, usgs-6377f7cdd34ed907bf6feab4, water-resources
Organization: Department of the Interior
Bias estimation for seven precipitation datasets for the eastern MENA region

Information on the spatio-temporal distribution of rainfall is critical for addressing water-related disasters, especially in the Middle East and North Africa's (MENA) arid to semi-arid regions.  However, the availability of reliable rainfall datasets for most river basins is limited.  In this study, we utilized observations from satellite-based rainfall data, in situ rain gauge observations, and rainfall climatology to determine the most suitable precipitation dataset in the MENA region.
This dataset includes the supporting data and graphics for the analysis. The collection includes a spreadsheet containing all the data for the tables and charts, as well as the text file for the in situ data collected and used for the analysis.

Tags: bias-correction, geoscientificinformation, inlandwaters, jordan, lebanon, mena, precipitation, usgs-6377f18ad34ed907bf6fe339
Organization: Department of the Interior
Acoustic Doppler Current Profiler data collected in near Hammond Bay, Lake Huron, 2019

This dataset records results from a bottom-deployed upward-looking Acoustic Doppler Current Profiler (ADCP, 600 kHz Workhorse Monitor, Teledyne RD Instruments, Poway, California) deployed during the summer of 2019 (late June until early August) near Hammond Bay, Lake Huron (45.5948 degrees north, -84.1542 degrees east).  Data were collected in support of nearby Cladophora and benthic algal assessments, as well as to validate hydrodynamic modeling.

Tags: acoustic-doppler-current-profiling, environment, inlandwaters, limnology, time-series-datasets, usgs-6377d1f5d34ed907bf6fa2a8, water-circulation
Organization: Department of the Interior
Sr and U concentrations and radiogenic isotope compositions (87Sr/86Sr, 234U/238U) of thermal waters, streamflow, travertine, and rock samples along with U-Th disequilibrium ages for travertine deposits from various locations in Yellowstone National Park, USA (ver. 2.0, August 2024)

Radiogenic isotopes of strontium and uranium (87Sr/86Sr and 234U/238U) are useful tracers of water-rock interactions.  Sr isotopic signatures in groundwater are derived by dissolution or exchange with Sr contained in aquifer rock whereas U isotopic signatures are more controlled by physicochemical and kinetic processes during groundwater flow.  Insights into groundwater circulation patterns through the shallow subsurface at Yellowstone National Park can be aided by investigations of these isotopes.  This data release contains tables with new isotope data consisting of concentrations (Sr, U) and radiogenic-isotope compositions (87Sr/86Sr, 234U/238U) for samples of thermal springs and geysers focused largely on the Upper Geyser Basin, but from other geothermal areas as well.  Sr isotopes were also analyzed in samples of streamflow from several different areas in the Park as well as in samples of whole rock or mineral separates as a means of better defining sources of Sr that are incorporated into thermal water.  Finally, authigenic mineral deposits precipitated from spring discharge inherit the Sr- and U-isotopic composition of the water from which they formed.  Travertine precipitated from several areas in the Upper Geyser Basin were analyzed as a means of assessing their ages, determined by U-Th disequilibrium methods, and the Sr- and U-isotopic compositions of their source water at the time they formed.

Tags: biota, geysers, hydrothermal-springs, isotope-geochemistry, park-county, strontium-isotopes, teton-county, travertine, u-th-disequilibrium-dating, upper-geyser-basin, uranium-isotopes, usgs-6377bbced34ed907bf6f8eb5, wyoming, yellowstone-national-park
Organization: Department of the Interior
Examining the influence of deep learning architecture on generalizability for predicting stream temperature in the Delaware River Basin

This data release and model archive provides all data, code, and modelling results used in Topp et al. (2023) to examine the influence of deep learning architecture on generalizability when predicting stream temperature in the Delaware River Basin (DRB). Briefly, we modeled stream temperature in the DRB using two spatially and temporally aware process guided deep learning models (a recurrent graph convolution network - RGCN, and a temporal convolution graph model - Graph WaveNet). The associated manuscript explores how the architectural differences between the two models influence how they learn spatial and temporal relationships, and how those learned relationships influence a model's ability to accurately predict stream temperature as domains shift towards out-of-bounds conditions. This data release and model archive contains three zipped folders for 1) Data Preparation, 2) Modelling Code, and 3) Model Predictions. Instructions for running data preparation code and modelling code can be found in the README.md files in 01_Data_Prep and 02_Model_Code respectively.

Tags: climate-change, de, delaware, domain-shift, environment, explainable-ai-xai, generalization, hybrid-modeling, inlandwaters, machine-learning, maryland, md, modeling, new-jersey, new-york, nj, ny, pa, pennsylvania, process-guided-deep-learning, stream-temperature, temperature, united-states, us, usgs-63779139d34ed907bf6f2cc9, water, water-resources
Organization: Department of the Interior
Russian River Integrated Hydrologic Model (RRIHM): Watershed Streamgages

This data release is a shapefile of USGS streamgage locations in the Russian River watershed and the outflow point of the Russian River.

Tags: california, hydrology, modeling, russian-river, streamflow, surface-water-non-marine, united-states, usgs-6376a554d34ed907bf6d99bf, water-resources
Organization: Department of the Interior
Great Lakes Restoration Initiative: Nutrient cycling in riverbed sediment in the Maumee River Basin, 2019 Data

The Maumee River transports huge loads of nitrogen (N) and phosphorus (P) to Lake Erie. The increased concentrations of N and P are causing eutrophication of the lake, creating hypoxic zones, and contributing to phytoplankton blooms. It is hypothesized that the P loads are a major contributor to harmful algal blooms that occur in the western basin of Lake Erie, particularly in summer. The Maumee River has been identified by the United States Environmental Protection Agency as a priority watershed where action needs to be taken to reduce nutrient loads. This study quantified rates of biogeochemical processes affecting downstream flux of N and P by 1) measuring indices of potential sediment P retention and 2) measuring nitrification and ambient and potential denitrification throughout the Maumee River Basin. Data generated from this project will inform models that estimate P retention and N removal potential in the basin and watershed models that simulate the effects of different conservation practices on the landscape.

Tags: biota, denitrification, eutrophication, fort-wayne, indiana, maumee-river, maumee-river-basin, michigan, nitrification, nitrogen, ohio, phosphorus, phosphorus-storage, streambed-sediment, toledo, usgs-637634b9d34ed907bf6d7a6f, western-lake-erie
Organization: Department of the Interior
Lake whitefish telemetry detections in Lake Erie with reference to seasonal hypoxia, 2015-2021

Adaptive efforts to achieve water quality objectives by modifying nutrient loading can have attendant impacts on fish habitats and fisheries. Thus, coordinating fishery and water quality management depends on knowledge of fish behavioral responses to habitat change. This data set aims to reduce these knowledge gaps by combining acoustic telemetry detections of a native demersal fish, lake whitefish (Coregonus clupeaformis), along with forecasted abiotic water quality parameters (e.g., temperature and dissolved oxygen) throughout Lake Erie during periods of seasonal hypoxia. Lake whitefish were tagged throughout 2015-2017. Detection locations of tagged lake whitefish were recorded throughout 2017-2018, using the Great Lakes Acoustic Telemetry Observation System (GLATOS), with receivers maintained annually (receiver data ranging from 2015 to 2021). Abiotic environmental parameters (e.g., temperature and dissolved oxygen) were calculated for each lake whitefish detection using the National Oceanic and Atmospheric Administration (NOAA) Great Lakes Environmental Research Laboratory (GLERL) Experimental Lake Erie Hypoxia forecasting model.

Tags: acoustic-telemetry, biota, coregonus-clupeaformis, fish-behavior, fisheries-biology, limnology, oxygen-content-water, usgs-637549e9d34ed907bf6cedf2
Organization: Department of the Interior
Estimated bedload transport rates at Rio Vista and Jersey Point, California, 2011-2020

This data set contains estimates of bedload transport entering San Francisco Bay from the Sacramento-San Joaquin Delta. Bedload was estimated following the methods of van Rijn (1984) for the Sacramento River at Rio Vista (USGS 11455420) and the San Joaquin River at Jersey Point (USGS 11337190). The inputs the van Rijn (1984) equations included:bed-material particle size, bed-form dimensions, depth, and velocity. Bedload was estimated at 15-minute intervals from Water Year 2011 through Water Year 2020. A "low range" estimate and a "high range" estimate were made. The low-range estimate assumes plane bed conditions and uses only grain size to estimate a hydraulic roughness parameter. The high-range estimate incorporates both grain size and bedform dimensions to estimate a hydraulic roughness parameter (using the equations provided by van Rijn, 1984).

Tags: hydrology, oceans, sediment-transport, usgs-63752cc3d34ed907bf6cec61
Organization: Department of the Interior
PRISM4 (mid-Piacenzian) Paleoenvironmental Reconstruction Data

The mid-Piacenzian is known as a period of relative warmth when compared to the present day. A comprehensive understanding of conditions during the Piacenzian serves as both a conceptual model and a source for boundary conditions as well as means of verification of global climate model experiments. These data are provided as digital representations of mid Pliocene boundary conditions stored in NetCDF format for use with climate models.

Tags: biogeographic-regions, biota, climate-change, global-climate-change, ice-sheet, invertebrate-paleontology, oceanographic-aspects-of-global-climate-change, paleoceanography, paleoclimatology, paleoecology, paleogeography, paleontology, sea-ice-concentration, snow-and-ice-cover, usgs-637522f4d34ed907bf6cebbc, vegetation
Organization: Department of the Interior
PRMS simulator used to assess rainfall, runoff, and river flow for the National Hydrologic Model (NHM) Puerto Rico

The National Hydrologic Model (NHM) is a modeling framework which has been applied to the continental United States through the Precipitation Runoff Modeling System (PRMS). The PRMS model of Puerto Rico extends the NHM and allows the simulation of rainfall-driven hydrologic conditions in the Commonwealth. Calibration of the NHM Puerto Rico model involved an initial manual calibration to understand the important processes and develop a basic representation of the hydrology. This is followed by an automated calibration procedure using the Let Us CAlibrate (LUCA) multi-objective function model calibration tool. A four-step procedure is used in Luca to separately calibrate parameters for solar radiation, evapotranspiration, low flows, and peak flows. The calibrated model is used for comparison with field-estimated flows and to examine coastal flows during Hurricane Maria. This USGS data release contains all of the input and output files for the simulations described in the associated journal article (https://doi.org/10.3390/hydrology9110205).

Tags: environment, geoscientificinformation, north-coast-limestone-aquifer, prms, puerto-rico, runoff, south-coast-aquifer, stream-discharge, streamflow, streamflow-modeling, unsaturated-zone, usgs-63750ed1d34ed907bf6ceb1a, usgsrainfallrunoffmodel
Organization: Department of the Interior