AndreaBozzo/ceres-open-data-index huggingface dataset:
02. Hazard curves and uniform-hazard ground motion data for Alaska

This dataset represents probabilistic seismic hazard curves and uniform-hazard ground motion values calculated for a grid of points with a spacing of 0.2 degrees in latitude and longitude for the state of Alaska using the 2023 National Seismic Hazard Model (NSHM) for the state of Alaska. The dataset includes (1) probabilistic seismic hazard curves (full and truncated) for peak ground acceleration (PGA), and spectral acceleration for 0.2, 1.0, 2.0, and 5.0 seconds and  (2) uniform-hazard ground motion values for 2, 5, and 10% in 50 years probability of exceedance (PE) (corresponding to 2,475, 975, and 475 year return periods, respectively) for each grid point. Results are provided for site classes BC and D, which correspond with Vs30s (time-averaged shear-wave velocity [VS] in the upper 30 m) of 760 and 260 m/s, respectively.
Two different sets of hazard curves are available, full (curves.csv) and truncated (curves-truncated.csv). The full gridded hazard curves data include ground motions at long return periods, whereas the truncated curves only span return periods of 10,000 years (annual frequency of exceedance of 1.0E-04) and less. The National Seismic Hazard Models are not intended to provide ground motions at return periods longer than 10,000 years.

Tags: alaska, earthquakes, hazards, national-seismic-hazard-map, national-seismic-hazard-model, national-seismic-hazard-model-project, nshm, nshmp, seismology, united-states, usa, usgs-65f4ec10d34ed4ae1e1abebe
Organization: Department of the Interior
Assessing the Effectiveness of Nourishment in Decadal Barrier Island Morphological Resilience: Model Inputs and Outputs (Year_30_Elevations_N)

Using version 5527 of the XBeach numerical model (Roelvink and others, 2009), barrier island morphological change was simulated at Dauphin Island, Alabama (AL), for a 30-year forecast of multiple storms and sea level rise, considering scenarios of no-action and beach and dune nourishment as described in Passeri and others (2021). The two-dimensional XBeach model can be applied to barrier islands to solve for time-dependent topography and bathymetry. The XBeach model setup requires the input of topographic and bathymetric elevations at each grid cell. Model inputs and outputs in the form of topography and bathymetry at each grid cell are provided in this data release. For further information regarding model input generation and visualization of model output, refer to Passeri and others (2021).

Tags: alabama, barrier-island-migration, bathymetry, coastal-processes, dauphin-island, digital-elevation-models, elevation, geomorphology, geoscientificinformation, gulf-of-mexico, marine-geology, morphologic-change, oceans, sea-level-change, spcmsc, st-petersburg-coastal-and-marine-science-center, storm-surge, topography, u-s-geological-survey, usgs, usgs-bfb73de4-de62-4322-a3e0-06144914b975
Organization: Department of the Interior
Size distribution and reproductive data of the invasive Burmese python (Python molurus bivittatus) in the Greater Everglades Ecosystem, Florida, USA, 1995-2021

This dataset contains morphometric information from Burmese pythons collected from an invasive population in southern Florida between 1995-2021. Scientists from the U.S. Geological Survey and the National Park Service curated this dataset as a repository for records of Burmese pythons found on or nearby federal lands in southern Florida, including Everglades National Park, Big Cypress National Preserve, Biscayne National Park, and Crocodile Lake National Wildlife Refuge. As such, numerous entities actively or incidentally involved in python research or management activities contributed specimens and/or data to this dataset, including but not limited to the U.S. Geological Survey, National Park Service, U.S. Fish and Wildlife Service, University of Florida, Conservancy of Southwest Florida, Florida Fish and Wildlife Conservation Commission, South Florida Water Management District, volunteers, and members of the public. The dataset includes python identification information, capture information, morphometric data, and necropsy data. The structure of the dataset is such that every row pertains to a single date that data were collected from a single python so that serial captures and morphological data collected from unique individuals can be tracked across time via different rows.

Tags: big-cypress-national-preserve, big-cypress-swamp, biota, biscayne-national-park, crocodile-lake-national-wildlife-refuge, everglades, everglades-national-park, herpetology, invasive-species, life-sciences, morphology-biological, organism-growth-and-development, phenology, reptiles, southern-florida, usgs-63221898d34e71c6d67ab5ab
Organization: Department of the Interior
LANDFIRE 2016 Remap Elevation (Elev) Puerto Rico US Virgin Islands

IA DEM was produced from 1/3rd arc-second downloaded from viewer.nationalmap.gov/basic. The 3DEP 1/3rd arc-second DEMs, previously referred to as the National Elevation Dataset (NED), are derived from diverse source data, processed to a common coordinate system and unit of vertical measure.  All 3DEP data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83).  All elevation values are provided in units of meters, and are referenced to the North American Vertical Datum of 1988 (NAVD 88) over the conterminous United States. For the LANDFIRE Elevation product, the 1/3 arc-second 3DEP DEM data were projected from geographic to Albers Equal Area, resampled to 30m spatial resolution, and clipped out to the IA 0k boundary.

Tags: biota, elevation, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, insular-areas, landfire-2016-remap, oconus, puerto-rico, raster-digital-data, remote-sensing, topo, topography, u-s-geological-survey-usgs, united-states, us, us-virgin-islands, usgs-dbee1220-dd78-44e7-aae4-6a0058443921
Organization: Department of the Interior
Standard deviation of the vegetated fraction in coastal wetlands along the U.S. Gulf of Mexico Coast (16-bit GeoTIFF)

Prior research has shown that sediment budgets, and therefore stability, of microtidal marsh complexes scale with areal unvegetated to vegetated marsh ratios (UVVR) suggesting these metrics are broadly applicable indicators of microtidal marsh vulnerability. This effort has developed the UVVR metric using Landsat 8 satellite imagery for the coastal areas of the contiguous United States (CONUS). These datasets provide annual averages of 1) developed, 2) vegetated, 3) unvegetated fractional covers and 4) an unvegetated to vegetated ratio (UVVR) at 30-meter resolution over the coastal areas of the contiguous United States for the years 2014-2018. Additionally, multi-year average values of vegetated fractional cover and its standard deviation are provided for the coastal wetlands of the contiguous United States based on the National Wetland Inventory delineation. Finally, a UVVR based on the annually-averaged vegetated fractional cover is also provided for the same extent.

Tags: coastal-ecosystems, coastal-processes, geotiff, gulf-of-mexico-ocean, inlandwaters, marsh-health, marsh-stress, resilience, salt-marsh, sedimentation, society, united-states, usgs-5f5a86e482cefd9f208671b5, vegetation, vulnerability, wetland-ecosystems, wetland-functions
Organization: Department of the Interior
Time-series water level and water quality data to accompany Scientific Investigations Report 2018-5040

This Data Release serves as a repository for a set of time-series data used in Scientific Investigations Report 2018-5040. The data represent continuous measurements of specific conductance, water temperature, and/or water level (stage), recorded by a variety of types of data loggers during three multi-day interference tests conducted on the Virgin River at Pah Tempe Springs during November 2013, February 2014, and November 2014. The data presented are the raw data downloaded from the data loggers and are organized according to the date of the test and the type and name of the observation site.
The Data Release contains 3 items:
1. An explanatory table, "PahTempe_table1.xlsx", which indicates which parameters were collected and on what instrument at each site during a given test
2. The data, "PahTempe_data.zip"; this zipped file contains the raw data logger files in comma-separated values (CSV) format, organized into folders according to the date of the interference pumping test
3. The metadata document, "PahTempe_metadata.xml"
Because these data were collected during multi-day interference pumping tests, they do not represent natural hydrologic conditions in the river, springs, or shallow groundwater system. Users of this data are advised to refer to the larger work citation for proper use and interpretation of the data.

Tags: environment, geoscientificinformation, groundwater-and-surface-water-interaction, hydrology, inlandwaters, usgs-5ab96dc5e4b081f61ab9cc66, utah, washington-county, water-quality
Organization: Department of the Interior
Digital data sets that describe aquifer characteristics of the alluvial and terrace deposits along the North Canadian River from Canton Lake to Lake Overholser in central Oklahoma

This data set consists of digital polygons of a constant
hydraulic conductivity value for the alluvial and terrace
deposits along the North Canadian River from Canton Lake to Lake
Overholser in central Oklahoma. Ground water in approximately
400 square miles of Quaternary-age alluvial and terrace aquifer
is an important source of water for irrigation, industrial,
municipal, stock, and domestic supplies. The aquifer consists
of clay, silt, sand, and gravel. Sand-sized sediments dominate
the poorly sorted, fine to coarse, unconsolidated quartz grains
in the aquifer. The hydraulically connected alluvial and terrace
deposits unconformably overlie Permian-age formations. The
aquifer is overlain by a layer of wind-blown sand in parts of
the area.
		
A uniform hydraulic-conductivity value of 38.9 feet per day was
used as input to the ground-water flow model for the aquifer and
is used in this data set.
		
The features representing boundaries along geological contacts
were extracted from published digital surficial geology data
sets based on a scale of 1:250,000. The northwest and southeast
geographic limits of the aquifer and were digitized from a
folded paper map in a ground-water modeling report, at a scale
of 1:250,000
		
Ground-water flow models are numerical representations that
simplify and aggregate natural systems. Models are not unique;
different combinations of aquifer characteristics may produce
similar results. Therefore, values of hydraulic conductivity
used in the model and presented in this data set are not
precise, but are within a reasonable range when compared to
independently collected data.

Tags: alluvial-and-terrace-aquifer, alluvial-aquifer, alluvium, aquifers, environment, geoscientificinformation, ground-water, ground-water-vulnerability, groundwater, groundwater-vulnerability, hydraulic-conductivity, inlandwaters, north-canadian-alluvial-and-terrace-aquifer, north-canadian-river-alluvial-and-terrace-aquifer, terrace, terrace-aquifer, usgs-ed11018b-8d08-4011-b1d7-d0aeb815460a
Organization: Department of the Interior
Wind rose plots for the volcano: 251002  Kadovar

This zip folder contains ASCII text files of vectors at the specified volcano at 
12-hour intervals, 
from January 1, 1990 through December 28, 2009.  
The wind vectors are divided into five files, names by their elevation range above 
sea level in the atmosphere: 00-05km.txt; 05-11km.txt; 11-16km.txt; 16-24km.txt; 
and 24-30km.txt. 
The zip folder also contains a subfolder "figures", with Wind rose plots of wind 
direction and speed over 
this time period.  The plots are by season, and by elevation, given a total of 20 
plots (4 seasons, 5 
elevation ranges).  A summary plot is also included which gives the year-round 
wind pattern at the volcano, 
at 0-5 km elevation.  Plots are in both jpg and pdf format.

Tags: meteorology, usgs-58d01182e4b0236b68f52a3b, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Hourly solar radiation in Langleys and associated three-digit data-source flag, January 1, 1948 - September 30, 2020

The text file "Solar radiation.txt" contains hourly solar radiation data in Langleys and associated data-source flags from January 1, 1948, to September 30, 2020. The primary data for water year 2020 (a water year is the 12-month period, October 1 through September 30, designated by the calendar year in which it ends) were downloaded from the Argonne National Laboratory (ANL) (Argonne National Laboratory, 2020) and processed following the guidelines documented in Over and others (2010). The processed data were appended to ARGN19.WDM (Bera and Over, 2020) and renamed as ARGN20.WDM. Missing and apparently erroneous data values were replaced with adjusted values from nearby weather stations used as “backup”. Temporal variations in the statistical properties of the data resulting from changes in measurement and data storage methodologies were adjusted to match the statistical properties resulting from the data collection procedures that have been in place since January 1, 1989 (Over and others, 2010). The adjustments were computed based on the regressions between the primary data series from ANL and the backup series using data obtained during common periods. The statistical properties of the regressions were used to assign estimated standard errors to values that were adjusted or filled from other series. The Illinois Climate Network (Water and Atmospheric Resources Monitoring Program, 2020) stations at St. Charles and DeKalb, Illinois, were used as "backup". Each data source flag is of the form "xyz", which allows the user to determine its source and the methods used to process the data (Over and others, 2010).
References Cited:
Argonne National Laboratory, 2020, Meteorological data, accessed on November 17, 2020, at http://www.atmos.anl.gov/ANLMET/.
Bera, M., 2020, Meteorological Database, Argonne National Laboratory, Illinois, January 1, 1948 - September 30, 2019: U.S. Geological Survey data release, ​https://doi.org/10.5066/P9X0P4HZ.
Over, T.M., Price, T.H., and Ishii, A.L., 2010, Development and analysis of a meteorological database, Argonne National Laboratory, Illinois: U.S. Geological Survey Open-File Report 2010-1220, 67 p., http://pubs.usgs.gov/of/2010/1220/.
Water and Atmospheric Resources Monitoring Program, 2020, Illinois Climate Network: Champaign, Ill., Illinois State Water Survey, accessed on November 9, 2020, at http://dx.doi.org/10.13012/J8MW2F2Q.

Tags: argonne-national-laboratory-illinois, data-source-flag, dekalb-illinois, dupage-county-illinois, flood-forecasting, hydrology, ohare-international-airport-illinois, runoff, solar-radiation, st-charles-illinois, usgs-602d4d1ad34eb12031149b15
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2005, 2008, 2012, and 2015 Site 0615 Land-Water Matrix

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection, and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum.  As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites.  This dataset consists of a matrix of four land-water products (2005, 2008, 2012, and 2015).  The resulting matrix has 16 possible classes defined by the combination of land and water categories on those four dates.

Tags: cartography, coastal, crms, doqq, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, state-of-louisiana, usgs-59387657e4b0764e6c5d6c38, wetland
Organization: Department of the Interior
Koyukuk vegetation types

Yukon Flats National Wildlife Refuge (YKF NWR) and Koyukuk NWR (KUK NWR),  U.S. Fish and Wildlife Service (USFWS), initiated a project with the U.S. Geological Survey  Earth Resources Observation and Science (EROS) Center to acquire map products needed for moose habitat assessment. The objective of this work was to create a suite of products which included: Estimated Vegetation Heights, probability of Willow Estimates, and Vegetation Type Maps. These products are based on spectral characteristics found in bands 2 through 7 of Landsat 8 OLI scenes processed to surface reflectance, acquired in summer of 2013, and late winter of 2014. Training data was collected by fixed wing aircraft and helicopter by USFWS refuge staff, and extrapolated by the methods described. This  project,  “ Yukon Flats NWR willow mapping” (PI: Delia Vargas Kretsinger) was funded through the USFWS Inventory and Monitoring program via an Interagency Agreement between the USGS EROS and the USFWS – Alaska Regional Office.  The data products are provisional in nature and are intended to support USFWS land management decisions. These data have not been validated with independent test data but received favorable qualitative assessment by local field experts.

Tags: alaska, habitat, koyukuk-nwr, moose, usgs-58f673e9e4b0bd52222f7862, vegetation-type-map
Organization: Department of the Interior
Digital Flow Data from Drains, Canals, Laterals, Waste-Way Discharges, and Stream Gaging Stations along the Rio Grande

This dataset represents a partial record of Rio Grande time-series flow data from locations in Dona Ana County and Sierra County, New Mexico; El Paso County and Hudspeth County, Texas; and Chihuahua, Mexico. Records from 1908 to 2010 are presented from 79 sources consisting of 11 drains, 8 canals, 6 laterals, 34 waste-ways, and 20 stream gaging stations. In 2015 the US Geological Survey obtained scanned original paper documentation from the Bureau of Reclamation El Paso Field Office and electronic Lotus 123 files of flow records from the Bureau of Reclamation Upper Colorado Region. These records were digitized and transcribed into Excel files. This data release consists of both the Excel files containing daily, monthly, and yearly flows and the PDF files of the scanned original documents. No original documents are included for data taken from the Lotus 123 files. Average daily flows are given in units of second-feet-day (SFD), where one SFD is the volume of water accumulated by a flow of one cubic foot per second over 24 hours.

Tags: chihuahua, el-paso-county-irrigation-district, elephant-butte-irrigation-district, farming, hydrology, inlandwaters, mexico, new-mexico, rio-grande, stream-discharge, texas, usgs-5b326aa5e4b040769c1596bd
Organization: Department of the Interior
Golden Eagle (Aquila chrysaetos) Satellite Telemetry and Observational Data, Western North America, 1993-1997

The U.S. Geological Survey (USGS) Data at Risk (DaR) team partnered with the Forest and Rangeland Ecosystem Science Center (FRESC) to preserve and release a subset of their golden eagle telemetry data. In the 1990’s, researchers from what is now FRESC worked with Boise State University (BSU) and collected telemetry and ground observation data that documented the local and migratory movements and behaviors of golden eagles. Over the course of this study 21 golden eagles in the conterminous western US were captured and marked with Argos platform terminal transmitters (PTTs) and tracked by satellite as they moved between breeding and wintering locations (individuals marked with Argos PTTs and tracked by satellite are referred to as 'satellite-tagged' in this release). Of these 21 satellite-tagged eagles, 10 were also fitted with tail-mounted VHF (very high frequency) transmitters and tracked by radio to allow for behavioral observations (individuals fitted with tail-mounted VHFs and tracked by radio are refered to as 'radio-tagged' in this release). 
This data release is made up of three pieces: the satellite data which includes the Argos data for all 21 satellite-tagged birds, the observed data which includes behavioral observations for the 10 radio-tagged birds observed from the ground, and the banding data which provides more context about the captures. Each piece of this data release is organized into its own child item with FGDC CSDGM metadata documentation and all accessible data attached.

Tags: alaska, aquila-chrysaetos, argos-system, arizona, biota, bird-banding, birds, birds-of-prey, breeding, british-columbia, california, canada, eagles, habitat-connectivity, idaho, migration-organisms, montana, nevada, north-america, oregon, plant-and-animal-tagging, radio-telemetry, satellite-telemetry, snake-river-bird-of-prey-natural-area, telemetry, united-states, usgs-5a5795b1e4b01e7be245cdcf, utah, vhf-radio-tags, washington, wyoming, yukon-territory
Organization: Department of the Interior
Undersized Fire Mapping Program Thematic Burn Severity Mosaic for CONUS in 2014

This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2014 that do not meet standard MTBS size criteria. These data are published to augment the data that are available from the MTBS program. This product was produced using the methods of the Monitoring Trends in Burn Severity Program (MTBS), however these fires do not meet the size criteria for a standard MTBS assessment. The MTBS Program assesses the frequency, extent, and magnitude (size and severity) of all large wildland fires (wildfires and prescribed fires) in the conterminous United States (CONUS), Alaska, Hawaii, and Puerto Rico for the period 1984 and beyond. MTBS typically maps fires using an initial assessment (immediately after the fire) or an extended assessment (peak of green the season after the fire) for low-biomass and high-biomass fires respectively. Refer to MTBS.gov for more information on MTBS methods and criteria. Standard MTBS mappings must meet the size criteria of at least 500 acres for the eastern states and territories and 1,000 acres for the western states and territories to be eligible for mapping. Undersized MTBS fires are those fires that do not meet the standard MTBS size criteria but are otherwise mapped using standard MTBS methodologies.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-66c65304d34e0338828ab84d, wildfire, wildland-fire
Organization: Department of the Interior
Composite Burn Index (CBI) Data for the Conterminous US (ver. 3.0, March 2023)

These data provide on-the-ground estimates of burn severity as estimated by the Composite Burn Index (CBI) for fires that burned between 1994 and 2018.  Landsat imagery was subsequently used to develop regression relationships between the Normalized Burn Ratio (NBR) and differenced NBR (dNBR).

Tags: biota, burn-severity, fire-damage, fires, location, remote-sensing, usgs-6284e128d34e3bef0c9a51c4
Organization: Department of the Interior