AndreaBozzo/ceres-open-data-index huggingface dataset:
U.S. Streamflow Drought During the Last Century: annual drought and low flow metrics, annual climate, and trends for the periods 1921-, 1951- and 1981-2020 (ver. 1.1, August 2025)

This dataset contains annual flow metrics quantifying drought and low streamflows for USGS GAGES-2 gages in the contiguous U.S. satisfying data completeness checks for the periods 1921-2020, 1951-2020, and 1981-2020. The dataset also contains annual climate variables from the USGS Monthly Water Balance Model (MWBM). The dataset provides trend analysis outputs for annual drought and low flow metrics for the periods 1921-2020, 1951-2020, and 1981-2020. Finally, we include six R language code files that were used to create the values included in this release as summarized in the process step section.

Tags: biota, droughts, streamflow, surface-water-non-marine, usgs-618460d9d34ec04fc9c00082, water-supply-and-demand, watershed-management
Organization: Department of the Interior
Barataria Basin Landbridge Shoreline Protection, Phases 1, 2, and 3 (BA-27): 2018 land-water classification

The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Barataria Basin Landbridge Shoreline Protection, Phases 1, 2, and 3 (BA-27) project for 2018. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their project boundary. To better evaluate the effectiveness of restoration efforts, a land-water classification is performed on specific CWPPRA sites to help assess landscape changes.

Tags: aerial-photography, ba-0027, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, usgs-61842a4ed34ec04fc9bfe8c1, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Data Compiled on historical water use, spatial land disturbance, aquifer disturbance and uranium produced by In Situ Recovery of Uranium from Sandstone Hosted Uranium Deposits in the South Texas Coastal Plain, USA

This data release contains data on historical water use, spatial land disturbance, and spatial aquifer disturbances related to in situ recovery (ISR) uranium extraction per unit of uranium produced. These data were compiled from published and publicly available references including journal articles, government reports, industry reports and company reporting documents for regulatory compliance and financial reporting requirements. Six uranium ISR mines are represented: Alta Mesa, Kingsville Dome, Mt. Lucas, Palangana, Palangana Dome, and Rosita.

Tags: extraction, geoscientificinformation, goliad-formation, in-situ-leach, in-situ-recovery, inlandwaters, isl, isr, mining, natural-resources, texas, texas-coastal-plain, uranium, uranium-mining, usgs-61841400d34ec04fc9bf8159
Organization: Department of the Interior
Seismic Station Compilation

Near-surface site characteristics are critical for accurately modeling ground motion, which in turn influences seismic hazard analysis and design of critical infrastructure. Currently there are many strong motion accelerometers within the Advanced National Seismic System (ANSS) that are missing this information. We use a Geographic Information Systems (GIS) based framework to intersect the site coordinates of approximately 5,500 ANSS accelerometers located throughout the US and its territories with geology and velocity information. We consider: (1) surficial geology from digitized geologic maps, (2) measurements of the shear-wave velocity in the upper 30 m (VS30) at seismic stations (McPhillips et al., 2020; Yong et al., 2016), (3) three different VS30 proxies based on geology (Wills et al., 2015), terrain (Yong et al., 2012; Yong, 2016), and a hybrid approach that utilizes regional VS30 map insets or topographic slope based proxy mosaics (Allen and Wald, 2007; Thompson et al., 2014; Heath et al., 2020)), (4) VS30 values utilizing a combination of measurements and proxies from the Next Generation of Ground-Motion Attenuation Models (i.e., NGA-West2, NGA-East, and NGA-Subduction (Seyhan et al., 2014; Goulet et al., 2018; Bozorgnia et al., 2020)) (5) Regional liquefaction, subsurface and seismic site class data as available. This compilation will help populate seismic station information webpages, like those of the Center for Engineering Strong Motion Data (strongmotioncenter.org), providing users the option to quickly obtain and utilize a variety of VS30 measurements, VS30 proxy-based estimates, and assigned National Earthquake Hazard Reduction Program (NEHRP) site classes. The collective availability of this information will improve our understanding of the ground motions recorded at ANSS accelerometers from both previous and future significant earthquakes. This additional station information will increase the usefulness of strong motion data and also improve ground motion models used in seismic hazard estimates.

Tags: anss, earthquake-seismology, seismic-site-characteristics, seismic-stations, usgs-6183f02cd34ec04fc9bf7f8f, usgs-cc-natural-hazards, vs30, vs30-measurements, vs30-proxy
Organization: Department of the Interior
Suspended sediment concentration (SSC) in the San Lorenzo River, Santa Cruz, California, USA, from 2008 to 2019

Suspended-sediment concentrations are reported in mg/L for water samples collected from the San Lorenzo River during the rainy seasons from 2008 to 2019. Samples were collected during 2-, 5- and 10-year flood events.

Tags: chemical-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-pollution, floods, geochemistry, inlandwaters, laboratory-methods, organic-geochemistry, pacific-coastal-and-marine-science-center, pcmsc, san-lorenzo-river, santa-cruz-county, state-of-california, suspended-material-water, u-s-geological-survey, usgs, usgs-61830bf7d34e9f2789e582e9, water-quality, water-quality-parameters
Organization: Department of the Interior
Per- and polyfluoroalkyl substances (PFAS) and volatile organic compounds measured in laboratory microcosm experiments with soil from Fort Drum, New York

Anaerobic microcosm experiments were conducted in April-May 2018 with PFAS-contaminated soil from a U.S. Army installation (Fort Drum, New York) and simulated groundwater. All microcosms, except for a live sediment control, were amended with perfluorooctanesulfonate (PFOS), perfluorooctanoate (PFOA), and 6:2 fluorotelomer sulfonate (6:2 FtS). Replicate treatments were prepared with and without bioaugmentation with the WBC-2 dehalogenating culture and with and without addition of chlorinated volatile organic compounds (1,1,2,2-tetrachloroethane and trichloroethylene). Two additional treatments were prepared containing granular activated carbon. All microcosms were prepared in duplicate and sacrificed for sampling. Analyses were conducted for PFOS, PFOA, 6:2 FtS, and volatile organic compounds in the water and sediment for each sampling point. Methane analyses were also conducted on selected samples to evaluate redox conditions. Microbial communities were analyzed on sediment slurry collected at each sampling point.

Tags: bacteria, bacterial-digestion-of-pollutants, biodegradation, biogeochemical-cycling, biological-laboratory-methods, environment, fort-drum, jefferson-county, laboratory-experiments, new-york, pfas, reductive-dehalogenation, sediment-pollutant-interaction, usgs-6182f188d34e9f2789e58207
Organization: Department of the Interior
Rare plant occurrences geodatabase for the northern Channel Islands

The Rare Plant Occurrences geodatabase is an element occurrence data system with about 10,000 records of rare plant observations on the 6 northernmost California Channel Islands. It is an historic database created with the purpose of bringing together in one space discoverable information on the localities of about 180 rare and sensitive plants of the northern Channel Islands, California ranging range from the late 1880s to 2025. The list of taxa was developed from agency and non-governmental databases, supplemented with a 1-day workshop with area botanists in 1993; the list has been updated as new information emerges. Data records include information from herbarium labels, published and unpublished literature, agency files, botanist field notes, incidental observations and results of targeted surveys for individual taxa. The data come from authoritative sources, but the records are of varying quality, related to the nature of the original observation. Consequently, each record contains metadata about the data source and accuracy, as well as the observation itself. The database was initiated in 1994, by Kathryn McEachern, U. S. Geological Survey (USGS) Research Ecologist, and collaborators at Channel Islands National Park and the Santa Barbara Botanic Garden. It is maintained at the co-located offices of the USGS-Western Ecological Research Center-Channel Islands Field Station and Channel Islands National Park in Ventura, California.

Tags: anacapa-island, biota, botany, channel-islands-california, channel-islands-national-park, conservation, field-inventory-and-monitoring, flora, location, los-angeles-county, native-species, population-and-community-ecology, san-miguel-island, san-nicolas-island, santa-barbara-county, santa-barbara-island, santa-cruz-island, santa-rosa-island, usgs-6182c416d34e9f2789e54899, ventura-county
Organization: Department of the Interior
Streamflow benchmark locations for hydrologic model evaluation within the conterminous United States (cobalt gages)

This data release consists of 5390 streamflow gages within the conterminous United States that will serve as version 1.0 of streamflow benchmark locations for hydrologic model evaluation and benchmarking.

Tags: field-monitoring-stations, inlandwaters, mathematical-modeling, streamflow, usgs-6181ac65d34e9f2789e44897
Organization: Department of the Interior
Brown Treesnake detections on transects using potential attractants of live-mouse lures or fish-spray scent, Guam

Nocturnal visual encounter surveys for Brown Treesnakes were collected and summarized into 4 plain text files (csv format): CapturesLure, SurveysLure, CapturesScent, and SurveysScent. Capture files contain unique Passive Integrated Transponder (PIT) tag identification and measurements of snakes with dates and locations of capture. Survey files contain the dates of transect sampling and treatment application for each transect (Transect ID). Each project used a different type of attractant, either a live-mouse lures in snake traps or liquid fish fertilizer scented spray.
Surveys were conducted in a 5-ha geographically closed population on Guam. Teams of two observers conducted night-time surveys from February 1 to March 31 2015 (live-mouse lure project) and November 1 to December 30 2016 (spray scent project). Visual surveys occurred along maintained 220-meter long transects at 8 meter spacing. Observers used headlamps to search for snakes in the vegetation or on the ground.  Observers recorded snake identification, measurements, capture location, and date. Surveys began 30 minutes after sunset. 
For the lure study, transects either had no traps and live mouse lures (NTL) placed on them or had snake traps with live mouse lures (TL). Snake traps were modified minnow traps. Traps were suspended horizontally from natural vegetation 1-1.5 meter (m) off the ground. Within each trap, a chamber housed and protected a live-mouse attractant. Traps were deployed along the same transects where nocturnal visual surveys occurred.
For the spray scent study, transects were either unsprayed (1) or sprayed either in the early evening before the night-time survey (2) or the previous day (3). Spray scent consisted of 500 milliliters of Alaska Fish Fertilizer and 14.74 liters of water and was sprayed along the entire length of a transect using a spray backpack over the course of four minutes to ensure a consistent application rate. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

Tags: biota, invasive-species, usgs-6181a72bd34e9f2789e44877, usgs-ema-low-is-detection-tool-development-and-testing
Organization: Department of the Interior
Bathymetric lidar data from the Colorado River, near McCoy, Colorado, September 8-9, 2021

The U.S. Geological Survey contracted with LiteWave Technologies (formerly ASTRALiTe) to fly their production topo-bathymetric lidar system (Edge) along the Colorado River near McCoy, Colorado, on September 8-9, 2021. The objective of this project was to assess the potential to map river bathymetry (i.e., river-bed topography) using lidar data collected from an uncrewed aircraft system (UAS). The Edge was mounted on a UAS owned and operated by LiteWave Technologies. This data release includes data delivered to the USGS by LiteWave Technologies on November 9, 2021.  Grid coordinates are projected in Universal Transverse Mercator Zone 13 North and are represented in units of meters. The topo-bathymetric elevations, in units of meters, delivered by the contractor are believed to be relative to the height of the GRS80 ellipsoid and differ from the more commonly used orthometric height computed by the addition of the geoid height to the GRS80 ellipsoid. The data is provided as a LAS file which includes points classified as bathymetric or river bottom (code 40), created, never classified (code 0), and water surface returns (code 41). These data delivered to USGS have not been filtered or modified.

Tags: bathymetry, colorado, lidar, mccoy, usgs-61817f1dd34e9f2789e447e3
Organization: Department of the Interior
San Francisco Bay region 3D seismic velocity model v21.1

This three-dimensional (3D) seismic velocity model includes a detailed domain covering the greater San Francisco Bay urban region and a regional domain at a coarser resolution covering a larger region. Version 21.1 updates only the detailed domain with adjustments to the elastic properties east and north of the San Francisco Bay. There are no changes to the underlying 3D geologic model or the regional domain seismic velocity model. Version 21.1 of the detailed domain fits seamlessly inside version 21.0 of the regional domain without any jumps in elastic properties across the boundary between the two domains. The model was constructed by assigning elastic properties (density, Vp, Vs, Qp, and Qs) to grids of points based on the geologic unit and depth from the ground surface. The model is stored in HDF5 files using the GeoModelGrids (https://geomodelgrids.readthedocs.io) storage scheme. GeoModelGrids provides a high-level interface for accessing the model. The model can also be accessed using the HDF5 application programming interface provided with many programming languages and tools, but the user will be responsible for all coordinate transformations.

Tags: california, earthquake, earthquake-hazards, elastic-properties, epicenter, ghsc, golden, plate-tectonics, san-francisco-bay, seismic, seismic-velocity-model, three-dimensional-model, usgs, usgs-61817394d34e9f2789e3c36c
Organization: Department of the Interior
Data to support near-term forecasts of stream temperature using process-guided deep learning and data assimilation

&lt;p&gt;This data release contains the forcings and outputs of 7-day ahead maximum water temperature forecasting models that made real-time predictions in the Delaware River Basin during 2021. The model is driven by weather forecasts and observed reservoir releases and produces maximum water temperature forecasts for the issue day (day 0) and 7 days into the future (days 1-7) at five sites. This data release captures the entire forecasting period that is reported in Zwart et al. 2022, and is an extension of a previous data release that contains all data needed to build these models but only extends to July 16, 2021 (Oliver et al. 2021). Additionally, this release contains a tidy version of the model predictions with paired observations for easier reuse.&lt;/p&gt;
&lt;p&gt;A full description of the model and results can be found in:&lt;/p&gt;
&lt;p&gt;Zwart, J.A., Oliver, S.K., Watkins, W.D., Sadler, J.M., Appling, A.P., Corson-Dosch, H.R., Jia, X., Kumar, V. and Read, J.S. 2022. Near-term forecasts of stream temperature using deep learning and data assimilation in support of management decisions. JAWRA. DOI: 10.1111/1752-1688.13093&lt;/p&gt;

Tags: data-assimilation, deep-learning, environment, forecasting, hybrid-modeling, inlandwaters, machine-learning, modeling, new-york, ny, reservoirs, rivers, temperature, united-states, us, usgs-618141e9d34e9f2789e2e098, water, water-resources
Organization: Department of the Interior
Data for a Pilot Study Characterizing Future Climate and Hydrology in Massachusetts

The U.S. Geological Survey has developed tools for projecting twenty-first century climate and hydrologic risk in Massachusetts in collaboration with Cornell University and Tufts University. These tools included a Stochastic Weather Generator (SWG). Output from the SWG is in this data release. The release includes daily precipitation and minimum and maximum air temperature for a 64-year period in the Nashua River watershed (that includes the Squannacook River) in Massachusetts and New Hampshire. There are 100 ensembles from the SWG for warming scenarios of 0 to 8 degrees Celsius in 0.5-degree increments. The SWG data were converted to a format utilized by the Precipitation-Runoff Modeling System (PRMS; https://www.usgs.gov/software/precipitation-runoff-modeling-system-prms) and input to a PRMS model for the Squannacook River watershed. The PRMS input and output files for the 100 ensembles of each of the 17 warming scenarios are also included in this data release. The 1,700 PRMS output files were utilized by a Stochastic Watershed Modeling tool to correct modeling biases that are inherent with a deterministic model such as PRMS. This data release includes the output from this Stochastic Watershed Model (SWM). For each of the 100 ensembles, the SWM was used to generate 10,000 ensembles, resulting in 1 million ensembles of 64-year periods for each of the warming scenarios. For each ensemble, streamflow characteristics of the annual maximum daily discharge at the 2-, 5-, 10-, 25-, 50-, 100-, and 500-year recurrence interval and of the annual 7-day low flow at the 2- and 10-year recurrence interval were determined.

Tags: climatology, hydrology, massachusetts, nashua-river, squannacook-river, usgs-617c5673d34ea58c3c700599
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 shoreline intersection points used to calculate short-term (End Point Rate) shoreline change statistics for the North Shore coastal region from North Salisbury at the New Hampshire border to the west side of Deer Island in Boston Harbor (NorthShore_intersects_STepr.shp)

Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast.
The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km in total length) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

Tags: accretion, atlantic-coast, baseline, boston-harbor, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, erosion, esri-point-shapefile, geospatial-datasets, historic-shoreline, intersects, massachusetts, massachusetts-office-of-coastal-zone-management, measurement-locations, new-england, north-shore, oceans, salisbury, shoreline, shoreline-change-rate, short-term, transect, u-s-geological-survey, united-states, usgs, usgs-617b348b-8a25-4a3f-914c-34787c3c82ce, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Regional Finite-Fault Models of the 2019 Mw7.1 Ridgecrest, California, Earthquake

This dataset complements the following publication:
Goldberg, D.E. &amp; Haynie, K.L (2021) Ready for Real-Time: Performance of Global Navigation Satellite Systems in 2019 Mw7.1 Ridgecrest, California, Rapid Response Products, Seismological Research Letters, doi: 10.1785/0220210278.
The availability of low-latency, high-rate Global Navigation Satellite Systems (GNSS) waveforms makes it possible to compute joint seismic and geodetic finite-fault models of significant earthquakes (typically M 6.0 or larger) using regional data (i.e. from strong-motion accelerometers and real-time GNSS). Notably, real-time GNSS displacement data has reduced accuracy when compared to post-processed displacements, due to inherent challenges in estimating satellite clocks and orbits in real-time (see associated manuscript for details).
Here, we present the results of joint strong-motion accelerometer and GNSS finite-fault inversions for the 2019 Mw7.1 Ridgecrest, California earthquake. We compare the results of the joint inversions that use post-processed GNSS to those making use of real-time GNSS displacements. Real-time GNSS displacements come from two different processing facilities: UNAVCO and Central Washington University (CWU). Two different weighting schemes (uniform and data norm weighting) are applied, resulting in a total of six joint inversions. A figure showing these six models is included here ("Finite-Fault Model Results") and is a reproduction of Figure 3 of the associated manuscript listed above.
The inversion results are provided as text files with titles corresponding to their GNSS data processing type and the inversion data weighting scheme (e.g., "Strong-Motion and CWU Real-Time GNSS (Uniform Weight)." Please see the associated manuscript listed above for details about the GNSS processing types and weighting schemes applied.
A summary table comparing the six models (above) and the USGS teleseismic inversion (https://earthquake.usgs.gov/earthquakes/eventpage/ci38457511/finite-fault) is titled "Finite-Fault Model Comparison Summary".
The resulting models are also used to create an estimate of the source dimensions as input to the USGS ShakeMap ground motion estimates. Estimated source dimension information is available in the table titled "Source Dimension Estimates for ShakeMap".

Tags: california, earthquake, finite-fault, ghsc, golden, ground-motion, ridgecrest, shakemap, united-states, usgs, usgs-617b0d8dd34ea58c3c700023
Organization: Department of the Interior