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Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 4 Model inputs (meteorological inputs, clarity, and ice flags)
Department of the Interior —
This dataset includes model inputs (specifically, weather, water clarity, and flags for predicted ice-cover) and is part of a larger data release of lake temperature... -
Federal
Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates
Department of the Interior —
Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection... -
Federal
Process-guided deep learning water temperature predictions: 6a Lake Mendota detailed evaluation data
Department of the Interior —
This dataset includes "test data" compiled water temperature data from an instrumented buoy on Lake Mendota, WI and discrete (manually sampled) water temperature... -
Federal
Remote Sensing Shrub/Grass National Land Cover Database (NLCD) Back-in-Time (BIT) Annual Herbaceous Products for the Western U.S., 1985 - 2018
Department of the Interior —
The need to monitor change in sagebrush steppe is urgent due to the increasing impacts of climate change, shifting fire regimes, and management practices on ecosystem... -
Federal
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 water-level projections: 20-year storm in Orange County
Department of the Interior —
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... -
Federal
Model climate scenario output for the Farmington river basin, Connecticut and Massachusetts, 2036-2065 change from 1975-2004, Representative Concentration Pathways 4.5 and 8.5
Department of the Interior —
This data release provides a set of Hydrological Simulation Program--Fortran (HSPF) model files representing five EPA-selected future climate change scenarios for the... -
Federal
Process-guided deep learning water temperature predictions: 3a Lake Mendota inputs
Department of the Interior —
This dataset includes model inputs that describe local weather conditions for Lake Mendota, WI. Weather data comes from two sources: locally measured (2009-2017) and... -
State
Native Fishes Drought Response Stressor Monitoring - 2014 to 2017 [ds2820]
State of California —
This layer is intended to be used as an informal means of spatially aggregating data collected by an array of regional teams monitoring drought effects upon... -
Federal
CoSMoS (Coastal Storm Modeling System) Central California v3.1 flood-hazard projections: 20-year storm in San Mateo County
Department of the Interior —
This data contains geographic extents of projected coastal flooding, low-lying vulnerable areas, and maximum/minimum flood potential (flood uncertainty) associated... -
Federal
Mixed-230Th/U formation ages and secondary uranium concentrations of above-water carbonates, and primary uranium concentrations of continuously submerged calcite at Devils Hole, Nevada
Department of the Interior —
For more than a half million years, dense vein calcite has been precipitating in Devils Hole, located about 115 km northwest of Las Vegas, Nevada. This process also... -
Federal
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 water-level projections: 100-year storm in Orange County
Department of the Interior —
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... -
Federal
CoSMoS (Coastal Storm Modeling System) Central California v3.1 water-level projections: 100-year storm in Santa Barbara County
Department of the Interior —
This data contains model-derived total water levels (in meters) for the sea-level rise (SLR) and storm condition indicated. The Coastal Storm Modeling System (CoSMoS)... -
State
Climate Change Projections for Water Storage Investment Program (WSIP)
State of California —
To aid applicants with quantification and monetization of benefits of proposed water storage projects per Chapter 8 of Proposition 1 (Water Code section 79750 et.... -
Federal
Streamflow regressions and daily mean streamflow estimates for Kootenai River tributaries near Bonners Ferry, Idaho (ver 2.0, January 2023)
Department of the Interior —
The U.S. Geological Survey (USGS), in cooperation with the Kootenai Tribe of Idaho, used streamflow measurements at 14 partial-record sites and related them to nearby... -
Federal
Projected groundwater head along the North and South Carolina coasts
Department of the Interior —
Seamless unconfined groundwater heads for U.S. coastal North and South Carolina groundwater systems were modeled with homogeneous, steady-state MODFLOW simulations.... -
Federal
Soil water balance, groundwater flow, and stream temperature models for Beaver Creek, Alaska, 2019 to 2050
Department of the Interior —
A combined soil water balance, groundwater flow and stream temperature model was developed to simulate stream temperature under historical and future conditions.... -
Federal
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard depth and duration projections: average conditions in the Channel Islands
Department of the Interior —
Maximum depth of flooding surface (in cm) in the region landward of the present day shoreline that is inundated for the storm condition and sea-level rise (SLR)... -
Federal
Model Inputs and Outputs for Simulating and Predicting the Effects of Climate and Land-Use Changes on Thermal Springs Recharge—A System-Based Coupled Surface-water and Groundwater Model for Hot Springs National Park, Arkansas
Department of the Interior —
This data release contains model input and output files for simulating and predicting thermal spring flows at Hot Springs National Park (HOSP), Hot Springs, Arkansas.... -
Federal
Data collected in 2010 to evaluate habitat availability for surf smelt and eelgrass in response to sea level rise on Bainbridge Island, Puget Sound, Washington, USA
Department of the Interior —
This dataset includes biological variables showing surf smelt spawning presence, geological variables describing beach composition, and sample locations using RTK-... -
Federal
Database of Trends in Vegetation Properties and Climate Adaptation Variables -- Raster Stack of Monthly Normalized Difference Vegetation Index (NDVI) for the Bylas Fire Case Study: 2014 to 2022
Department of the Interior —
We apply a research approach that can inform riparian restoration planning by developing products that show recent trends in vegetation conditions identifying areas...