AndreaBozzo/ceres-open-data-index huggingface dataset:
Attributes for NHDPlus Version 2.1 Reach Catchments and Modified Routed Upstream Watersheds for the Conterminous United States: PRISM 30 Year (1961-1990) Monthly Means of Number of Days of Measurable Precipitation

This tabular data set represents the 30 year average (1961-1990) number of days of measurable precipitation per month, compiled for two spatial components of the NHDPlus version 2 data suite (NHDPlusv2) for the conterminous United States; 1) individual reach catchments and 2) reach catchments accumulated upstream through the river network. This dataset can be linked to the NHDPlus version 2 data suite by the unique identifier COMID. The source data for the 30 year average (1961-1990) number of days of measurable precipitation per month was provided by the Environmental Protection Agency and is included with this data set (prism-wetdays-monthly.zip provided by Ryan Hill, EPA, written commun., 2012). Units are days per month. Reach catchment information characterizes data at the local scale. Reach catchments accumulated upstream through the river network characterizes cumulative upstream conditions.  Network-accumulated values are computed using two methods, 1) divergence-routed and 2) total cumulative drainage area. Both approaches use a modified routing database to navigate the NHDPlus reach network to aggregate (accumulate) the metrics derived from the reach catchment scale. (Schwarz and Wieczorek, 2016).

Tags: catchment, inlandwaters, nawqa, nhdplus, precipitation, sparrow, usgs-572241c5e4b0b13d39138edd, wet-days
Organization: Department of the Interior
Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period

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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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 chance of experiencing damaging earthquakes for a fixed ground shaking level that corresponds with MMI = VI,  based on 1.0-second spectral response acceleration value of 0.102 g for site class D.  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-5720f0fce4b071321fe6a904, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Standard erosion pin data from Cumberland Island National Seashore (CUIS), February 2012 - May 2013

This dataset contains cumulative erosion magnitude measured at individual erosion pins at select sites along the western margin of CUIS. Additionally, the data are presented as rates and summarized to the site level to facilitate comparison with other methods used to estimate erosion with slightly varying temporal ranges.

Tags: bank-pins, barrier-islands, camden-county, coastal-erosion, cumberland-island, cumberland-island-national-seashore, erosion-pins, georgia, usgs-577e74ece4b0ef4d2f44ee75
Organization: Department of the Interior
Chance of damage from an earthquake in 2016 based on the average of horizontal spectral response acceleration for 1.0-second period and 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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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 chance of experiencing damaging earthquakes for fixed ground shaking levels that corresponds with MMI = VI.  The values are obtained by averaging the probability of experiencing MMI = VI based on a peak ground acceleration value of 0.1155 g for site class D, and the probability of experiencing MMI = VI based on 1.0-second spectral acceleration value of 0.102 g for site class D.  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-571f9fd0e4b071321fe56c94, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period

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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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 chance of experiencing damaging earthquakes for a fixed ground shaking level that corresponds with MMI = VI,  based on 1.0-second spectral response acceleration value of 0.102 g for site class D.  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-571f9f7be4b071321fe56c92, utah, washington, wyoming
Organization: Department of the Interior
Chance of damage from an earthquake in 2016 based on 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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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 chance of experiencing damaging earthquakes for a fixed ground shaking level that corresponds with MMI = VI, based on a peak ground acceleration value of 0.1155 g for site class D.  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-571e8774e4b071321fe56805, utah, washington, wyoming
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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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-571e8614e4b071321fe567f9, utah, washington, wyoming
Organization: Department of the Interior
Photoelectric erosion pin (PEEP) data from Cumberland Island National Seashore (CUIS), May 2012 - May 2013

This dataset contains daily estimates of erosion for select time windows at four sites along the back barrier margin of Cumberland Island National Seashore (CUIS). The four locations selected for instrumentation are referenced by the name of the general area where they were located and are as follows: Brickhill Bluff (bb), Dungeness Wharf (dw), Plum Orchard (po), and Racoon Key (rk). Additionally, this dataset provides offsets that were used to correct the photo-electric erosion pin (PEEP) erosion values to those measured in the field. Using the offsets and magnitude of erosion between site visits, a running cumulative sum of erosion is also provided.

Tags: barrier-islands, camden-county, coastal-erosion, cumberland-island, cumberland-island-national-seashore, erosion-pins, georgia, peep, usgs-577e74c0e4b0ef4d2f44ee72
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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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-571e81ffe4b071321fe567ee, utah, vermont, virginia, west-virginia, wisconsin, wyoming
Organization: Department of the Interior
Modified Mercalli Intensity based on horizontal spectral response acceleration for 1.0-second period, 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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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 Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year.  The MMI values are obtained by converting 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-571e817ce4b071321fe567ea, utah, washington, wyoming
Organization: Department of the Interior
Modified Mercalli Intensity based on 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 2016. 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 (NHSM) by more than a factor of 3; the 2014 NHSM 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 Modified Mercalli Intensity (MMI) with a 1-percent probability of exceedance in 1 year.  The MMI values are obtained by converting peak ground 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-571e76dae4b071321fe567df, utah, washington, wyoming
Organization: Department of the Interior
Data Supporting The Geochemical Atlas of Alaska, 2016

A rich legacy of geochemical data produced since the early 1960s covers the great expanse of Alaska; careful treatment of such data may provide significant and revealing geochemical maps that may be used for landscape geochemistry, mineral resource exploration, and geoenvironmental investigations over large areas. To maximize the spatial density and extent of data coverage for statewide mapping of element distributions, we compiled and integrated analyses of more than 175,000 sediment and soil samples from three major, separate sources: the U.S. Geological Survey, the National Uranium Resource Evaluation program, and the Alaska Division of Geological &amp; Geophysical Surveys geochemical databases. Various types of heterogeneity and deficiencies in these data presented major challenges to our development of coherently integrated datasets for modeling and mapping of element distributions. Researchers from many different organizations and disparate scientific studies collected samples that were analyzed using highly variable methods throughout a time period of more than 50 years, during which many changes in analytical techniques were developed and applied. Despite these challenges, the U.S. Geological Survey has produced a new systematically integrated compilation of sediment and soil geochemical data with an average sample site density of approximately 1 locality per 10 square kilometers (km2) for the entire State of Alaska, although density varies considerably among different areas. From that compilation, we have modeled and mapped the distributions of 68 elements, thus creating an updated geochemical atlas for the State.

Tags: alaska, chemical-analysis, data-integration, data-processing, data-series, datasets, economy, elements, geochemical-processes, geochemistry, geographic-information-systems, geology, geoscientific-information, grid, hydrologic-unit-code, maps-and-atlases, mathematical-modeling, north-america, raster, sediments, soils, united-states, usgs-571e2412e4b071321fe5653f
Organization: Department of the Interior
Boat-based water-surface elevation surveys along the upper Willamette River, Oregon, in March, 2015

Water-surface elevation measurements were collected in March 2015 along the upper Willamette River, Oregon, between Eugene to Corvallis. These surveys were collected over a small range of discharges using a real time kinematic global positioning system (RTK-GPS) on a motorboat traveling "on plane" along the river. These datasets were collected for equipment calibration and validation for the National Aeronautics and Space Administration’s (NASA) Surface Water and Ocean Topography (SWOT) satellite mission. This is one of multiple survey datasets that will be released for this effort.

Tags: airswot, corvallis, discharge, eugene, inland-waters, oregon, river, rtk, surface-water, usgs-571a81a3e4b071321fe22e30, water-surface-elevation, willamette-river
Organization: Department of the Interior
Airborne geophysical survey: Healy

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, f02068-denali, f02170-matanuska-susitna, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-5719ea39-38b1-46f6-b1b4-8c5e422b6831
Organization: Department of the Interior