AndreaBozzo/ceres-open-data-index huggingface dataset:
Delta Wide Crevasses (MR-09): 2002 land water classifications

The Louisiana State Legislature created 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 Delta Wide Crevasses (MR-09) project for 2002. 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, cwppra, digital-elevation-models, doqq, ecosystem-monitoring, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, natural-resource-management, rectification, remote-sensing, usgs-5b841dfae4b05f6e321b5e2b, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Spatiotemporal Analysis of the Foreshock-Mainshock-Aftershock Sequence of the 6 July 2017 M5.8 Lincoln, Montana, Earthquake - Data Release

We used matched filter detection and multiple-event relocation techniques to characterize the spatiotemporal evolution of the sequence.  Our analysis is from the 14 closest seismic stations to the earthquake sequence, which included seven permanent stations from the Montana Regional Seismic Network, one permanent station from the ANSS backbone network and three temporary seismic stations deployed by the USGS within four days after the mainshock.  A catalog of 685 well-located earthquakes larger than M 1 occurring Between 5 July and 15 October 2017 were relocated using a hypocentroid decomposition (HD) multiple-event relocation approach. The resulting dataset had an average epicentral and depth uncertainties (90% confidence) on the order of 1 km.  Using match filtering of the station waveforms for each of these relocated events we were able to detect four foreshocks in the three days prior to, and 3005 aftershocks in the three weeks following the mainshock.

Tags: anss-backbone-network, earth-science, earthquake, earthquake-hazards-program, ehp, foreshock-mainshock-aftershock-sequence, geologic-hazards-science-center, geophysics, ghsc, hypocentroid-decomposition, matched-filter-detection, montana-regional-seismic-network, multiple-event-relocation, seismic-hazard, seismology, spatiotemporal-evolution-of-earthquake-sequence, tectonic, usgs, usgs-5b83f32ee4b05f6e321b4ee2
Organization: Department of the Interior
Geomorphic Change Data for the Little Colorado River, Arizona, USA

These data include geospatial files (shapefiles and orthorectified raster images) and an input hydrograph (csv) for a 1-dimensional unsteady hydrologic model. Shapefiles consist of active channel boundarys and channel centerlines of six reaches of the LCR beginning ~4.5 km above Grand Falls, AZ, and ending ~12.8 km downstream from Cameron, AZ. These reaches are (1) the ~4.5 km above Grand Falls reach, (2) the 1.5km below Grand Falls reach, (3) the ~18.8 km Black Falls reach, (4) the ~16.5 km above Cameron reach, (5) the ~4.7 km Cameron to Moenkopi reach, and (6) the ~8.1 km below Moenkopi reach. Raster images consist of orthorectified aerial photograph mosaics between 1933/34 and 1992. Scans of the images were acquired from either the National Archives and Records Administration (NARA) or the USGS Earth Resources Observation and Science Center (EROS). The input hydrograph for the hydrologic model consists of flood data from March 1954 as measured at the Grand Falls stream gage.

Tags: arizona, biogeomorphic-feedbacks, black-falls, cameron, channel-narrowing, dryland-rivers, floods, geomorphology, geoscientificinformation, grand-falls, hydrology, imagerybasemapsearthcover, inlandwaters, little-colorado-river, little-colorado-river-basin, northern-arizona, riparian-ecosystems, riparian-vegetation, river-systems, usgs-5b8064b6e4b05f6e321951f0, vegetation
Organization: Department of the Interior
Final Dataset

This dataset contains the final water level records (10,132) that met all threshold criteria and had absolute residual (ABS_PSEUDO_LEV) of less than 20 feet. The threshold of 20 feet was selected based on water level changes of the U.S. Geological Survey groundwater site 363551090152801 Qulin in the Mississippi River Valley alluvial aquifer. This final dataset is considered a best representation of the true water levels in the aquifer.

Tags: groundwater, groundwater-level, usgs-5b805e29e4b05f6e321951b1, wells
Organization: Department of the Interior
Water-level, wind-wave, velocity, and suspended-sediment concentration (SSC) time-series data from Little Holland Tract (station HVD), Sacramento-San Joaquin Delta, California, 2016

Water depth, turbidity, and current velocity time-series data were collected in Little Holland Tract  in 2016. Depth (from pressure) and velocity were measured in high-frequency (8 Hz) bursts. Burst means represent tidal stage and currents, and burst data can be used to determine wave height, period, and direction, and wave-orbital velocity. The turbidity sensors were calibrated to suspended-sediment concentration measured in water samples collected on site. The calibration and fit parameters for all of the turbidity sensors used in the study are tabulated and provided with the data. Data were sequentially added to this data release as they were  collected and post-processed.
Typically, each zip folder for a deployment period contains two files of data from a bursting pressure sensor and two data files from the velocimeter, which includes data from the optical backscatter sensor.

Tags: cache-slough, california, cmhrp, coastal-and-marine-hazards-and-resources-program, conductivity, ctd, ctd-measurement, current, current-meters, currents, inlandwaters, liberty-island, little-holland-tract, marine-water-quality, ocean-waves, pacific-coastal-and-marine-science-center, pcmsc, physical-oceanography, pressure-sensors, sacramento-san-joaquin-delta, salinity, sediment-transport, shallow-water-habitat, solano-county, suspended-sediment-concentration, tidal-height, tidal-shallows, time-series-datasets, turbidity, u-s-geological-survey, usgs, usgs-5b7f41c5e4b05f6e3217a267, water-depth, water-level-measurements, water-pressure, water-temperature, wave-height, wave-height-gauges, wave-observations, wind-waves, yolo-county
Organization: Department of the Interior
Potential Wetland Extent Along the Maumee River Between USGS Gaging Stations 04182950 and 04183500

The Wetland Reserve Program (WRP) is a voluntary program administered by the NRCS. It provides technical and financial assistance to private landowners and Tribes to restore, protect, and enhance wetlands in exchange for retiring eligible land from agriculture. For a site to be a wetland eligible for restoration, it must be in a zone with sustained or frequent flooding for a period of 7 consecutive days on average at least once every 2 years (a value termed the 7MQ2). This study calculated the 7MQ2 flows for all the U.S. Geological Survey streamgages within the selected study reaches. These flows were related to the stage discharge tables for each streamgage and a corresponding elevation was determined. By use of the water-surface elevations (“inundation elevations”) along the rivers, an approximate extent of potential wetland for a restoration in agricultural land can be mapped. As part of the study, a set of maps representing the estimated potential wetland extents for each study reach was generated in a geographic information system (GIS) application by combining (1) a digital water-surface plane representing the surface of inundation elevation that sloped in the downstream direction of flow and (2) land-surface elevation data. The map products from this study will aid the NRCS and its partners with the onsite inundation-zone verification in agricultural land for a potential restoration.

Tags: 7mq2, allen-county, antwerp, environment, extent, floods, fort-wayne, geoscientificinformation, geospatial-analysis, geospatial-datasets, hydrology, inlandwaters, inundation, maps-and-atlases, maumee-river, new-haven, paulding-county, state-of-indiana, streamflow, surface-water-level, usgs-5b7f155de4b045b1dc7d99ab, wetland, wetland-ecosystems, wetland-functions, wetland-reserve-program
Organization: Department of the Interior
Lidar-derived Data Layers for South Carolina StreamStats, 2007-2013

In cooperation with the South Carolina Department of Transportation, the U.S. Geological Survey developed a StreamStats web application (https://water.usgs.gov/osw/streamstats/) that provides analytical tools for water-resources planning and management (Ries and others, 2017). This data set presents the lidar-derived flow direction, flow accumulation, streamline, and hydro-enforced digital elevation model raster data used for analysis in StreamStats. Rasters are included for each of the following hydrologic unit codes (HUCs): 03040101, 03040102, 03040103, 03040104, 03040105, 03040201, 03040202, 03040203, 03040204, 03040205, 03040206, 03040207, 03040208, 03050101, 03050102, 03050103, 03050104, 03050105, 03050106, 03050107, 03050108, 03050109, 03050110, 03050111, 03050112, 03050201, 03050202, 03050203, 03050204, 03050205, 03050206, 03050207, 03050208, 03050209, 03050210, 03060101, 03060102, 03060103, 03060104, 03060105, 03060106, 03060107, 03060108, 03060109, and 03060110. The raster data is organized into four main zip folders, which are called “Flow_Accumulation_Grids,” “Flow_Direction_Grids,” Hydro_Enforced_DEM_Grids,” and “Streamline_Grids.”
Reference:
Ries, K.G., III, Newson J.K., Smith, M.J., Guthrie, J.D., Steeves, P.A., Haluska, T.L., Kolb, K.R., Thompson, R.F., Santoro, R.D., and Vraga, H.W., 2017, StreamStats, version 4: U.S. Geological Survey Fact Sheet 2017–3046, 4 p., https://doi.org/10.3133/fs20173046.

Tags: datasets, digital-elevation-models, drainage-basins, image-collections, lidar, mathematical-modeling, regression-analysis, stream-gage-measurement, streamflow, usgs-5b7eca97e4b045b1dc7d93a6
Organization: Department of the Interior
Pedestrian evacuation times for businesses on the islands of American Samoa, for 2009 and predicted maximum tsunami (PMT) inundation zones by village, modeled at four travel speeds (slow walk, fast walk, slow run, and fast run)

This dataset contains American Samoa nonresidence count estimates as a function of travel time out of the 2009 and probable maximum tsunami (PMT) inundation zones for four different travel speeds (slow walk, fast walk, slow run, and fast run). The data are organized in a manner which permits summarizing or visualizing the data by business classification (church, community center, education, health care center, hotel, industrial, office, recreation, shelter, and store), tsunami-evacuation zone, and/or travel speed, with business details and evacuation zone/travel speed combinations listed across the top as columns and individual rows representing unique businesses' details in the different evacuation zone/travel speed combinations. These data, in tabular format, are intended for use in GIS software applications and other standalone spreadsheet applications.
These data support the following publication: Wood, N.J., Jones, J.M., Yamazaki, Y., Cheung, K-F., Brown, J., Jones, J.L., and Abdollahian, N., 2018, Population vulnerability to tsunami hazards informed by previous and projected disasters—a case study of American Samoa: Natural Hazards, 24 p., https://doi.org/10.1007/s11069-018-3493-7.

Tags: evacuation, hazards, modeling, pedestrian, tsunamis, usgs-5b7ded2ee4b045b1dc7bee84
Organization: Department of the Interior
Tsunami evacuation time map for American Samoa predicted maximum tsunami (PMT) inundation zone and fast walk speed

The travel time map was generated using the Pedestrian Evacuation Analyst model (version 1.0.1 for ArcGIS 10.5) from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the recreated tsunami inundation zone for the 2009 Mw 8.1 Samoa earthquake or a probable maximum tsunami (PMT) inundation zone for American Samoa and which travel speed was used in the modelling (slow walk, fast walk, slow run, or fast run). These data, in polygon shapefile format, are intended for use in GIS software applications.
These data support the following publication: Wood, N.J., Jones, J.M., Yamazaki, Y., Cheung, K-F., Brown, J., Jones, J.L., and Abdollahian, N., 2018, Population vulnerability to tsunami hazards informed by previous and projected disasters—a case study of American Samoa: Natural Hazards, 24 p., https://doi.org/10.1007/s11069-018-3493-7.

Tags: evacuation, hazards, modeling, pedestrian, tsunamis, usgs-5b7deb0ce4b045b1dc7bee78
Organization: Department of the Interior
Tsunami evacuation time map for American Samoa predicted maximum tsunami (PMT) inundation zone and slow walk speed

The travel time map was generated using the Pedestrian Evacuation Analyst model (version 1.0.1 for ArcGIS 10.5) from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the recreated tsunami inundation zone for the 2009 Mw 8.1 Samoa earthquake or a probable maximum tsunami (PMT) inundation zone for American Samoa and which travel speed was used in the modelling (slow walk, fast walk, slow run, or fast run). These data, in polygon shapefile format, are intended for use in GIS software applications.
These data support the following publication: Wood, N.J., Jones, J.M., Yamazaki, Y., Cheung, K-F., Brown, J., Jones, J.L., and Abdollahian, N., 2018, Population vulnerability to tsunami hazards informed by previous and projected disasters—a case study of American Samoa: Natural Hazards, 24 p., https://doi.org/10.1007/s11069-018-3493-7.

Tags: evacuation, hazards, modeling, pedestrian, tsunamis, usgs-5b7deab3e4b045b1dc7bee75
Organization: Department of the Interior
Tsunami evacuation time map for American Samoa 2009 tsunami inundation zone and fast run speed

The travel time map was generated using the Pedestrian Evacuation Analyst model (version 1.0.1 for ArcGIS 10.5) from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the recreated tsunami inundation zone for the 2009 Mw 8.1 Samoa earthquake or a probable maximum tsunami (PMT) inundation zone for American Samoa and which travel speed was used in the modelling (slow walk, fast walk, slow run, or fast run). These data, in polygon shapefile format, are intended for use in GIS software applications.
These data support the following publication: Wood, N.J., Jones, J.M., Yamazaki, Y., Cheung, K-F., Brown, J., Jones, J.L., and Abdollahian, N., 2018, Population vulnerability to tsunami hazards informed by previous and projected disasters—a case study of American Samoa: Natural Hazards, 24 p., https://doi.org/10.1007/s11069-018-3493-7.

Tags: evacuation, hazards, modeling, pedestrian, tsunamis, usgs-5b7dea55e4b045b1dc7bee70
Organization: Department of the Interior
Tsunami evacuation time map for American Samoa 2009 tsunami inundation zone and slow run speed

The travel time map was generated using the Pedestrian Evacuation Analyst model (version 1.0.1 for ArcGIS 10.5) from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction of movement and assigns a higher cost to steeper slopes, based on a table contained within the model. The analysis also adds in the energy costs of crossing different types of land cover, assuming that less energy is expended walking along a road than walking across a sandy beach. To produce the time map, the evacuation surface output from the model is grouped into 1-minute increments for easier visualization. The times in the attribute table represent the estimated time to travel on foot to the nearest safe zone at the speed designated in the map title. The file name indicates whether the map is of the recreated tsunami inundation zone for the 2009 Mw 8.1 Samoa earthquake or a probable maximum tsunami (PMT) inundation zone for American Samoa and which travel speed was used in the modelling (slow walk, fast walk, slow run, or fast run). These data, in polygon shapefile format, are intended for use in GIS software applications.
These data support the following publication: Wood, N.J., Jones, J.M., Yamazaki, Y., Cheung, K-F., Brown, J., Jones, J.L., and Abdollahian, N., 2018, Population vulnerability to tsunami hazards informed by previous and projected disasters—a case study of American Samoa: Natural Hazards, 24 p., https://doi.org/10.1007/s11069-018-3493-7.

Tags: evacuation, hazards, modeling, pedestrian, tsunamis, usgs-5b7de9f5e4b045b1dc7bee6d
Organization: Department of the Interior
Temperature data for study of shallow mountain bedrock limits seepage-based headwater climate refugia, Shenandoah National Park, Virginia: U.S. Geological Survey data release

A combination of long-term daily temperature records and depth to bedrock measurements were used to parameterize one-dimensional models of shallow aquifer vertical heat transport in Shenandoah National Park, VA, USA. Spatially discontinuous roving water surface and bank temperatures surveys were performed with a handheld thermal infrared camera in September and December 2015 along the main channel of a headwater stream supporting coldwater-dependent brook trout (Salvelinus fontinalis). We also installed vertical arrays of thermal data loggers to estimate bulk thermal diffusivity of the saturated alluvium at two stations in the upper trout section. The methods are fully documented in the associated journal article, Briggs, M.A., J.W. Lane, C.D. Snyder, E. White, Z.C. Johnson, D.L. Nelms, and N.P. Hitt, 2017, Shallow mountain bedrock limits seepage-based headwater climate refugia, Limnologica, https://dx.doi.org/10.1016/j.limno.2017.02.005. This Data Release includes temperature measurements collected as part of the study. The directory RAW_DATA contains the measured temperature time series at streambed, stream, and air locations as described in the local read.me file. The OUTPUT directory contains the processed temperature time series and VFLUX2 calculations of thermal diffusivity (Ke) from streambed data, and annual temp signal amplitude/phase lag from stream/air data are listed.

Tags: environment, geoscientificinformation, groundwater, inlandwaters, refugia, shenandoah-national-park, surface-water, thermal, usgs-5b7db690e4b045b1dc7bec57, vflux2, virginia
Organization: Department of the Interior
PeakFQ inputs and selected outputs for selected streamgages in Ohio and border areas of adjacent states (through water year 2015)

Contains inputs (PeakFQ psf file and peak-flow data) to the PeakFQ program for selected unregulated and regulated streamgages in Ohio and border areas of adjacent states. Zip archive also contains PeakFQ print files for each streamgage (listed by the eight-digit streamgage identification number).

Tags: floods, indiana, kentucky, michigan, ohio, pennsylvania, statistical-analysis, usgs-5b92ba61e4b0702d0e80a26d, west-virginia
Organization: Department of the Interior
Legacy and lag effects data for the northern Colorado Plateau, USA

This climate and vegetation index dataset was collected from readily available open source data, such as Landsat. The data represents points across the northern Colorado plateau. The vegetation type was defined based on U.S. Geological Survey ReGAP data. Using compositing techniques by season we developed a dataset of lag and legacy for each point. We could then look to understand how both lag and legacy impacted vegetation production across the time series. In this dataset we focus on the soil adjusted vegetation index (SAVI), the standardized precipitation and evapotranspiration index (SPEI), and precipitation. Included in this dataset are climate lags of 3,6,9 and 12 months. Additionally, the legacy construct is included in the latter columns.

Tags: arches-national-park, bryce-canyon-national-park, canyonlands-national-park, capitol-reef-national-park, colorado, colorado-national-monument, colorado-plateau, dinosaur-national-monument, natural-bridges-national-monument, northern-colorado-plateau, park-name, southwestern-united-states, usgs-5b7d8290e4b045b1dc7bd758, utah, vegetation-type, zion-national-park
Organization: Department of the Interior