AndreaBozzo/ceres-open-data-index huggingface dataset:
Bathymetric Grid for a Wave Exposure Model of Grand Bay, Mississippi

Coastal marshes are highly dynamic and ecologically important ecosystems that are subject to pervasive and often harmful disturbances, including shoreline erosion. Shoreline erosion can result in an overall loss of coastal marsh, particularly in estuaries with moderate- or high-wave energy. Not only can waves be important physical drivers of shoreline change they can also influence shore-proximal vertical accretion through sediment delivery. For these reasons, estimates of wave energy can provide a quantitative measure of wave effects on marsh shorelines. Since wave energy is difficult to measure at all locations, scientists and managers often rely on hydrodynamic models to estimate wave properties at different locations. The Wave Exposure Model (WEMo) is a simple tool that uses linear wave theory to estimate wave energy characteristics for enclosed and semi-enclosed estuaries (Malhotra and Fonseca, 2007). The interpretation of hydrodynamic models is improved if model results can be validated against measured data. The data presented in this publication are input and validation data for modeled and observed mean wave height for two temporary oceanographic stations established by the U.S. Geological Survey (USGS) in the Grand Bay National Estuarine Research Reserve, Mississippi.

Tags: al, alabama, bathymetry, boundaries, coastal-processes, digital-elevation-models, environment, geoscientificinformation, grand-bay-national-estuarine-research-reserve, gulf-of-mexico, hydrodynamic-modeling, hydrodynamics, mississippi, ms, ocean-waves, oceanographic-measurements, oceans, usa, usgs-58f4437b-24b1-4373-bd56-5f977628cd45, wave-exposure-model-wemo, waves
Organization: Department of the Interior
LANDFIRE Remap 2016 Public Raw Events AK

The LANDFIRE (LF) Remap Public Raw Events feature class is a compilation of natural disturbance and vegetation/fuel treatment events that occurred between 1999 and 2016. The Public Raw Events feature class includes a subset of the full suite of data that were used in the production of LANDFIRE 2008 Refresh (LF 1.1.0), LANDFIRE 2010 (LF 1.2.0), LANDFIRE 2012 (LF 1.3.0), LANDFIRE 2014 (LF  .0), and LANDFIRE Remap (LF 2.0.0) program deliverables. According to agreements between LANDFIRE and its data contributors, certain proprietary or otherwise sensitive data were removed to create this publicly available version. For more information about the data sources included and excluded from this release, please consult the Source_Code look up table found at: http://www.landfire.gov/publicevents.php. The data were collected from disparate sources including federal, state, and local, and private organizations, and systematically converted to the standard LANDFIRE Events format. The data in the Public Raw Events feature class were analyzed to eliminate geospatial or information content errors, but otherwise represent the full account of acceptable data processed for LANDFIRE. These data may include multiple perimeters for the same event and a high degree of overlap between events within a single year. Examples of the former include a natural disturbance or vegetation/fuel treatment event reported by multiple agencies or individuals. Examples of the latter include locations in which multiple vegetation/fuel treatments and/or natural disturbances occurred within the same year.

Tags: ak, alaska, biota, events, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, image-collections, imagerybasemapsearthcover, landfire-2016, landfire-remap, oconus, public-raw-events, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, us, usgs-58f18acf-3480-4de6-a308-ff5d89740d75, vector-digital-data
Organization: Department of the Interior
Extreme precipitation variability, forage quality and large herbivore diet selection in arid environments

Nutritional ecology forms the interface between environmental variability and large herbivore behaviour, life history characteristics, and population dynamics. Forage conditions in arid and semi-arid regions are driven by unpredictable spatial and temporal patterns in rainfall. Diet selection by herbivores should be directed towards overcoming the most pressing nutritional limitation (i.e. energy, protein [nitrogen, N], moisture) within the constraints imposed by temporal and spatial variability in forage conditions. We investigated the influence of precipitation-induced shifts in forage nutritional quality and subsequent large herbivore responses across widely varying precipitation conditions in an arid environment. Specifically, we assessed seasonal changes in diet breadth and forage selection of adult female desert bighorn sheep Ovis canadensis mexicana in relation to potential nutritional limitations in forage N, moisture and energy content (as proxied by dry matter digestibility, DMD). Succulents were consistently high in moisture but low in N and grasses were low in N and moisture until the wet period. Nitrogen and moisture content of shrubs and forbs varied among seasons and climatic periods, whereas trees had consistently high N and moderate moisture levels. Shrubs, trees and succulents composed most of the seasonal sheep diets but had little variation in DMD. Across all seasons during drought and during summer with average precipitation, forages selected by sheep were higher in N and moisture than that of available forage. Differences in DMD between sheep diets and available forage were minor. Diet breadth was lowest during drought and increased with precipitation, reflecting a reliance on few key forage species during drought. Overall, forage selection was more strongly associated with N and moisture content than energy content. Our study demonstrates that unlike north-temperate ungulates which are generally reported to be energy-limited, N and moisture may be more nutritionally limiting for desert ungulates than digestible energy.

Tags: biota, foraging-ecology, herbivore, large-herbivore-foraging-ecology, ovis-canadensis-mexicana, primary-production, ruminant, usgs-58f0feade4b06911a29fac29
Organization: Department of the Interior
In Vitro Bioaccessibility Extractions from Previously Collected Uranium Mineral Deposit Samples, 1971 and 1981, Southwestern U.S

This data set provides total element concentration and simulated lung and gastric fluid bioaccessibility from previously collected Uranium mineral deposit samples (1971 and 1981, Southwestern U.S.) exploring possible exposures to other hazardous trace metals. Elevated total as well as simulated gastric and lung fluid concentrations were observed for arsenic, cobalt, manganese, thallium, vanadium and uranium.

Tags: biopsy, colorado, environment, fry-canyon, gas-hills, health, henry-mountains, lung, mass-spectroscopy, mineral-deposits, slick-rock, uranium, usgs-58f0ed5ee4b06911a29fab95, utah, wyoming
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 wave-hazard projections: 20-year storm in Ventura County

Model-derived significant wave height (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58effb54e4b0eed1ab8e3ee5, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 water-level projections: 100-year storm in Ventura County

Model-derived total water levels (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58effa30e4b0eed1ab8e3ed3, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 water-level projections: 20-year storm in Ventura County

Model-derived total water levels (in meters) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58eff988e4b0eed1ab8e3ecb, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 ocean-currents projections: average conditions in Ventura County

Model-derived ocean current velocities (in meters per second) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58eff880e4b0eed1ab8e3ec1, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 ocean-currents projections: 100-year storm in Ventura County

Model-derived ocean current velocities (in meters per second) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58eff78ee4b0eed1ab8e3eb4, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 ocean-currents projections: 20-year storm in Ventura County

Model-derived ocean current velocities (in meters per second) for the given storm condition and sea-level rise (SLR) scenario.
The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future sea-level rise (SLR) scenarios. CoSMoS v3.0 for Southern California shows projections for future climate scenarios (sea-level rise and storms) to provide emergency responders and coastal planners with critical storm-hazards information that can be used to increase public safety, mitigate physical damages, and more effectively manage and allocate resources within complex coastal settings.
Model details and data sources are outlined in CoSMoS_3.0_Phase_2_Southern_California_Bight:_Summary_of_data_and_methods (available at https://www.sciencebase.gov/catalog/file/get/57f1d4f3e4b0bc0bebfee139?name=CoSMoS_SoCalv3_Phase2_summary_of_methods.pdf). Phase 2 data for Southern California include flood-hazard information for the coast from the border of Mexico to Pt. Conception. Several changes from Phase 1 projections are reflected in many areas; please read the Summary of methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, california, climate-change, climatologymeteorologyatmosphere, coastal-erosion, erosion, extreme-weather, floods, hazards-planning, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, southern-california-bight, storm-surge, storms, usgs-58eff6dae4b0eed1ab8e3eac, ventura-county, water-depth, waves, wind
Organization: Department of the Interior
Domestic well locations and populations served in the contiguous U.S.: 1990, Road-enhanced method (REM) map.

In this dataset we present two maps that estimate the location and population served by domestic wells in the contiguous United States. The first methodology, called the “Block Group Method” or BGM, builds upon the original block-group data from the 1990 census (the last time the U.S. Census queried the population regarding their source of water) by incorporating higher resolution census block data. The second methodology, called the “Road-Enhanced Method” or REM, refines the locations by using a buffer expansion and shrinkage technique along roadways to define areas where domestic wells exist. The fundamental assumption with this method is that houses (and therefore domestic wells) are located near a named road. The results are presented as two nationally consistent domestic-well population datasets. While both methods can be considered valid, the REM map is more precise in locating domestic wells; the REM map had a smaller amount of spatial bias (nearly equal vs biased in type 1 error), total error (10.9% vs 23.7%,), and distance error (2.0 km vs 2.7 km), when comparing the REM and BGM maps to a California calibration map. However, the BGM map is more inclusive of all potential locations for domestic wells. The primary difference in the BGM and the REM is the mapping of low density areas. The REM has a 57% reduction in areas mapped as low density (populations greater than 0 but less than 1 person per km), concentrating populations into denser regions. Therefore, if one is trying to capture all of the potential areas of domestic-well usage, then the BGM map may be more applicable. If location is more imperative, then the REM map is better at identifying areas of the landscape with the highest probability of finding a domestic well. Depending on the purpose of a study, a combination of both maps can be used. 
For space concerns, the datasets have been divided into two separate geodatabases. The BGM map geodatabase and the REM map database.

Tags: census-areas, domestic-well, drinking-water-use, usgs-58ed63fee4b0eed1ab8b2a0a
Organization: Department of the Interior
Domestic well locations and populations served in the contiguous U.S.: 1990, Block-group method (BGM) map.

In this dataset we present two maps that estimate the location and population served by domestic wells in the contiguous United States. The first methodology, called the “Block Group Method” or BGM, builds upon the original block-group data from the 1990 census (the last time the U.S. Census queried the population regarding their source of water) by incorporating higher resolution census block data. The second methodology, called the “Road-Enhanced Method” or REM, refines the locations by using a buffer expansion and shrinkage technique along roadways to define areas where domestic wells exist. The fundamental assumption with this method is that houses (and therefore domestic wells) are located near a named road. The results are presented as two nationally consistent domestic-well population datasets. While both methods can be considered valid, the REM map is more precise in locating domestic wells; the REM map had a smaller amount of spatial bias (nearly equal vs biased in type 1 error), total error (10.9% vs 23.7%,), and distance error (2.0 km vs 2.7 km), when comparing the REM and BGM maps to a California calibration map. However, the BGM map is more inclusive of all potential locations for domestic wells. The primary difference in the BGM and the REM is the mapping of low density areas. The REM has a 57% reduction in areas mapped as low density (populations greater than 0 but less than 1 person per km), concentrating populations into denser regions. Therefore, if one is trying to capture all of the potential areas of domestic-well usage, then the BGM map may be more applicable. If location is more imperative, then the REM map is better at identifying areas of the landscape with the highest probability of finding a domestic well. Depending on the purpose of a study, a combination of both maps can be used. 
For space concerns, the datasets have been divided into two separate geodatabases. The BGM map geodatabase and the REM map database.

Tags: census-areas, domestic-well, drinking-water-use, usgs-58ed58c8e4b0eed1ab8b29e9
Organization: Department of the Interior
Extent of Artesian Conditions in San Joaquin Valley, CA in 1910

Depth-to-water data in the San Joaquin Valley, CA were collected in 1910 and published in Mendenhall and others, 1916. These data were used to create a depth-to-water contour of the Valley described in Plate 1 entitled "Map of San Joaquin Valley, California showing artesian areas, ground-water levels and location of pumping plants", which includes a depiction of geographical areas where flowing well (artesian) conditions existed in 1910. These "Areas of flowing wells" have been converted into a digital vector format (ArcGIS Shapefile) for use in future research.

Tags: agriculture, artesian, california, central-valley-california, environment, geographic-information-systems, groundwater, groundwater-quality, historic, hydrogeology, hydrology, public-supply-water-use, san-joaquin-valley-california, trends, united-states, usgs-58ed4073e4b0b4d95d335547, water-levels, water-quality
Organization: Department of the Interior