AndreaBozzo/ceres-open-data-index huggingface dataset:
1.0-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural  earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2018. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  This particular data set is for horizontal spectral response acceleration for 1.0-second period with a 1 percent probability of exceedance in 1 year.  The data are for the Central and Eastern United States and are based on the one-year model.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5a90ae94e4b069906067501e, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
0.2-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural  earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2018. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 1 percent probability of exceedance in 1 year.  The data are for the Western United States and are based on the long-term 2014 National Seismic Hazard Model.

Tags: arizona, california, colorado, earthquake, hazard, idaho, induced, montana, natural, nevada, new-mexico, oregon, seismic, texas, united-states, usa, usgs-5a90ade1e4b0699060675016, utah, washington, wyoming
Organization: Department of the Interior
Data release for Wetlands inform how climate extremes influence surface water expansion and contraction

Effective monitoring and prediction of flood and drought events requires an improved understanding of how and why surface-water expansion and contraction in response to climate varies across space. This paper sought to (1) quantify how interannual patterns of surface-water expansion and contraction vary spatially across the Prairie Pothole Region (PPR) and adjacent Northern Prairie (NP) in the United States, and (2) explore how landscape characteristics influence the relationship between climate inputs and surface-water dynamics. Due to differences in glacial history, the PPR and NP show distinct patterns in regards to drainage development and wetland density, together providing a diversity of conditions to examine surface-water dynamics. We used Landsat imagery to characterize variability in surface-water extent across 11 Landsat path/rows representing the PPR and NP (images spanned 1985-2015). The PPR not only experienced a 2.6-fold greater surface-water extent under median conditions relative to the NP, but also showed a 3.4-fold greater change in surface-water extent between drought and deluge conditions. The relationship between surface-water extent and accumulated water availability (precipitation minus potential evapotranspiration) was quantified per watershed and statistically related to variables representing hydrology-related landscape characteristics (e.g., infiltration capacity, surface storage capacity, stream density). To investigate the influence stream connectivity has on the rate at which surface water leaves a given location, we modeled stream-connected and stream-disconnected surface water separately. Stream-connected surface water showed a greater expansion with wetter climatic conditions in landscapes with greater total wetland area, but lower total wetland density. Disconnected surface water showed a greater expansion with wetter climatic conditions in landscapes with higher wetland density, lower infiltration and less anthropogenic drainage. From these findings, we can expect that shifts in precipitation and evaporative demand will have uneven effects on surface-water quantity. Accurate predictions regarding the effect of climate change on surface-water quantity will require consideration of hydrology-related landscape characteristics including wetland storage and arrangement.

Tags: iowa, landsat, minnesota, missouri, montana, nebraska, north-dakota, northern-prairie, prairie-pothole-region, south-dakota, surface-water, usgs-5a906bd6e4b069906067062e
Organization: Department of the Interior
Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural  earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2018. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  It represents the average Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year.  The MMI values are the average of the MMI values obtained by converting peak ground acceleration to MMI and 1.0-second spectral response acceleration to MMI.  The data are for the Western United States and are based on the long-term 2014 National Seismic Hazard Model.

Tags: arizona, california, colorado, earthquake, hazard, idaho, induced, montana, natural, nevada, new-mexico, oregon, seismic, texas, united-states, usa, usgs-5a9047e7e4b0699060659d01, utah, washington, wyoming
Organization: Department of the Interior
Regional scale magnetotelluric data from the Rio Grande Rift and southern Rocky Mountains, Station rgr310

This dataset consists of 102 magnetotelluric (MT) stations collected in 2012-2014 in the Rio Grande Rift and southern Rocky Mountains. The U.S. Geological Survey acquired these data to improve regional conductivity models of the western United States. This work is in support of studies of the effect of lithospheric modification on electrical resistivity structure and tectonic evolution of the western United States.

Tags: apparent-resistivity, colorado-plateau, electromagnetic-surveying, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, gggsc, impedance, magnetic-field-earth, magnetotelluric, mineral-resources-program, mrp, mt, new-mexico, phase, regional-conductivity-models, rio-grande-rift, rocky-mountains, time-series, tipper, usgs-5ada0ed3e4b0e2c2dd28d361
Organization: Department of the Interior
Population dynamics of humpback chub, rainbow trout and brown trout in the Colorado River in its Grand Canyon Reach: fit and sim input data

These data were compiled to fit an integrated population model of brown trout in the Glen Canyon Reach of the Colorado River and test different hypotheses regarding the driver of brown trout population dynamics. Also, data were compiled as inputs for a model to simulate population dynamics and species interactions among brown trout, rainbow trout and humpback chub in the Colorado River between Glen Canyon Dam and the confluence of the Colorado River and the Little Colorado River.

Tags: arizona, brown-trout, catch-data, catch-only-data, catch-per-unit-effort, colorado-river, decision-support, fish-populations, glen-canyon-dam, glen-canyon-reach, grand-canyon, humpback-chub, integrated-population-model, juvenile-size-class, large-adult-size-class, lees-ferry, little-colorado-river, mark-recapture-data, population-dynamics, rainbow-trout, simulation, size-classes, small-adult-size-class, southwestern-united-states, species-interactions, united-states, usgs-5a99a916e4b06990606f6b02
Organization: Department of the Interior
Modified Mercalli Intensity based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration, with 1-percent probability of exceedance in 1 year

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural  earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2018. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  It represents the average Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year.  The MMI values are the average of the MMI values obtained by converting peak ground acceleration to MMI and 1.0-second spectral response acceleration to MMI.  The data are for the Central and Eastern United States and are based on the one-year model described above.

Tags: alabama, arizona, arkansas, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5a904665e4b0699060657348, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
West Portrillo Mountains Scaled Quail Nest Survival 2014-2015

Grassland birds are among the most imperiled bird guilds in North America. Scaled quail (Callipepla squamata) are a semi-arid grassland bird whose populations have declined over the past half century. We monitored scaled quail in New Mexico to study the effects of habitat, temperature and precipitation on survival of scaled quail adults, nests, and broods.

Tags: new-mexico, scaled-quail, southwestern-united-states, southwestern-us, usgs-5a904556e4b0699060654ee6
Organization: Department of the Interior
West Portrillo Mountains Scaled Quail Brood Survival 2014-2015

Grassland birds are among the most imperiled bird guilds in North America. Scaled quail (Callipepla squamata) are a semi-arid grassland bird whose populations have declined over the past half century. We monitored scaled quail in New Mexico to study the effects of habitat, temperature and precipitation on survival of scaled quail adults, nests, and broods.

Tags: new-mexico, scaled-quail, southwestern-united-states, southwestern-us, usgs-5a9044b9e4b0699060653af9
Organization: Department of the Interior
Hazard curve data for annual rate of exceedance versus peak ground acceleration

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2018. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data set represents the hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  It represents the annual rate of exceedance versus peak ground acceleration.

Tags: alabama, arizona, arkansas, california, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, idaho, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5a8fac91e4b069906061d0ca, utah, vermont, virginia, washington, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Hazard curve data for annual rate of exceedance versus 1.0-second spectral response acceleration

A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey.  The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2018. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties in earthquake occurrence and diversity of opinion in the science community.  Near some areas of active induced earthquakes, hazard is higher than in the 2014 USGS National Seismic Hazard Model (NSHM) by more than a factor of 3; the 2014 NSHM did not consider induced earthquakes. In some areas, previously observed induced earthquakes have stopped, so the seismic hazard reverts back to the 2014 NSHM.
This data set represents the hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude.  It represents the annual rate of exceedance versus 1.0-second spectral response acceleration.

Tags: alabama, arizona, arkansas, california, colorado, connecticut, delaware, district-of-columbia, earthquake, florida, georgia, hazard, idaho, illinois, indiana, induced, iowa, kansas, kentucky, louisiana, maine, maryland, massachusetts, michigan, minnesota, mississippi, missouri, montana, natural, nebraska, nevada, new-hampshire, new-jersey, new-mexico, new-york, north-carolina, north-dakota, ohio, oklahoma, oregon, pennsylvania, rhode-island, seismic, south-carolina, south-dakota, tennessee, texas, united-states, usa, usgs-5a8fac60e4b069906061d0c6, utah, vermont, virginia, washington, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
GIS shapefile: Sarasota County, Florida irrigated agricultural land-use for the 2018 growing season

This data set consists of a detailed digital map of individual irrigated fields and a summary of the  irrigated acreage for the 2018 growing season developed for Sarasota County, Florida. Selected attribute data that include crop type, irrigation system, and primary water source were collected for each irrigated field.

Tags: boundaries, crop-type, environment, farming, florida-department-of-agriculture-and-consumer-service, groundwater, irrigation-type, landuse, landuse-classification-codes, orthoimagery, south-florida-water-management-district, southwest-florida-water-management-district, surface-water, usgs-5ae0cf99e4b0e2c2dd2ea324
Organization: Department of the Interior
Water level and velocity measurements from the 2012 University of Western Australia Fringing Reef Experiment (UWAFRE)

This data release contains water level and velocity measurements from wave runup experiments performed in a laboratory flume setting.
Wave-driven water level variability (and runup at the shoreline) is a significant cause of coastal flooding induced by storms. Wave runup is challenging to predict, particularly along tropical coral reef-fringed coastlines due to the steep bathymetric profiles and large bottom roughness generated by reef organisms. The 2012 University of Western Australia Fringing Reef Experiment (UWAFRE) measured water levels and velocities for sixteen wave and offshore (still) water level conditions on a 1:36 geometric scale fringing reef profile with and without bottom roughness. Experiments were performed in a 55-m long wave flume (Eastern Scheldt Flume) at Deltares, the Netherlands.
These data accompany the following publications:
Buckley, M.L., Lowe, R.J., Hansen, J.E., and van Dongeren, A.R., 2015, Dynamics of wave setup over a steeply sloping fringing reef: Journal of Physical Oceanography, v. 45, p. 3005-3023, https://doi.org/10.1175/Jpo-D-15-0067.1
Buckley, M.L., Lowe, R.J., Hansen, J.E., and van Dongeren, A.R., 2016, Wave setup over a fringing reef with large bottom roughness: Journal of Physical Oceanography, v. 46, p. 2317-2333, https://doi.org/10.1175/Jpo-D-15-0148.1
Buckley, M.L., Lowe, R.J., Hansen, J.E., van Dongeren, A.R., and Storlazzi, C.D., 2018, Mechanisms of wave-driven water level variability on reef-fringed coastlines: Journal of Geophysical Research-Oceans, https://doi.org/10.1029/2018JC013933.

Tags: cmgp, coastal-and-marine-geology-program, coastal-processes, coral-reefs, flooding, geoscientificinformation, hazards, laboratory-experiments, ocean-sciences, oceans, pacific-coastal-and-marine-science-center, pcmsc, reef, scale-modeling, u-s-geological-survey, usgs, usgs-5a8f2aa8e4b06990605dddb6, water-column-features, water-level-measurements, waves
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Southern California v3.0 Phase 2 flood-hazard depth and duration projections: average conditions in the Channel Islands

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) scenario indicated. Note: Duration datasets may have occasional gaps in open-coast sections.
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 to include the Channel Islands. Please read the Summary of Methods and inspect output carefully.  Data are complete for the information presented.

Tags: beaches, channel-islands, climate-change, climatologymeteorologyatmosphere, coastal-erosion, earth-sciences, effects-of-climate-change, erosion, extreme-weather, floods, hazards-planning, mathematical-modeling, ocean-waves, ocean-winds, oceans, physical-habitats-and-geomorphology, sea-level-change, sea-level-rise, southern-california, state-of-california, storm-surge, storms, usgs-5a8f09bfe4b06990605c5390, water-depth, waves, wind
Organization: Department of the Interior