AndreaBozzo/ceres-open-data-index huggingface dataset:
LANDFIRE 2022 Anderson Fire Behavior Fuel Model (FBFM13) HI

LANDFIRE's (LF) 2022 13 Anderson Fire Behavior Fuel Models (FBFM13) product represents distinct distributions of fuel loadings found among surface fuel components (live and dead), size classes, and fuel types (Anderson 1982). The fuel models are described by the most common fire carrying fuel type (grass, brush, timber, or slash), loading and surface area-to-volume ratio by size class and component, fuel bed depth, and moisture of extinction. LF FBFM13 can be used for fire spread related characteristic models. To create this product, expert rulesets were developed to understand how different types of disturbance would change pre-disturbance fuel models to post disturbance fuels, based on the severity and time since disturbance. These rulesets are represented in the LF Total Fuel Change Tool and Database. In the LF 2022 update, non-disturbed fuels are the same as LF 2016 Remap for natural vegetation. 
To designate disturbed areas where FBFM13 is modified, the aggregated Annual Disturbance products from 2013 to 2022 in the Fuel Disturbance (FDist) product are used. All existing disturbances between 2013-2022 are represented in the LF 2022 update, and the products are intended to be used in 2023 (the year of release). The "capable" year terminology used in LF 2020 and LF 2016 Remap is no longer specified, due to reduction in latency from when a disturbance occurs to the release date of fuel products accounting for that disturbance. However, users should still consider adjusting fuel layers for disturbances that occurred after the end of the 2022 fiscal year (after October 1st, 2022) when using the LF 2022 fuel products. Because those changes would not be accounted for. Learn more about LF 2022 at https://landfire.gov/lf_230.php .

Tags: anderson-fire-behavior-fuel-model, biota, fbfm, fbfm13, fire-behavior-fuel-model-13, fires, geographic-information-systems, geospatial-datasets, hawaii, hazard-preparedness, hi, image-collections, imagerybasemapsearthcover, landfire-2022, lf-2022, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-6566620bd34e3aa43a43fab7
Organization: Department of the Interior
Water Quality data from the Providence Water Supply Board for tributary streams to the Scituate Reservoir, water year 2015

Water-quality data were collected by the Providence Water Supply Board (PWSB) from tributaries in the Scituate Reservoir drainage area, October 2014 through September 2015 (water year 2015). These data were used to calculate instantaneous
loads and yields of constituents in a report by the U.S. Geological Survey. Water-quality samples were collected by the PWSB either monthly or quarterly at fixed stations on 36 tributaries in the Scituate Reservoir drainage area. Water-quality
samples were collected following a strict sampling schedule so that water-quality samples would be representative of various weather conditions. Samples were analyzed at the PWSB water-quality laboratory at the P.J. Holton Water Purification Plant in
Scituate, Rhode Island. Water-quality properties and constituent concentrations were measured by using unfiltered water samples. These water-quality properties included pH, alkalinity, color, turbidity, and concentrations of chloride, nitrite,
nitrate, orthophosphate, and bacteria (Escherichia coli [E. coli] and total coliform).

Tags: bacteria, chloride, cranston, drinking-water-use, foster, johnston, nutrient-content-water, rhode-island, scituate, scituate-reservoir, sodium, surface-water-quality, turbidity, usgs-59e4f23ee4b05fe04cd19176, water-ph, water-properties
Organization: Department of the Interior
A Bayesian Monte-Carlo Inversion of Spatial Auto-Correlation (SPAC) for Near-Surface Vs Structure Applied to both Broadband and Geophone Data - Data release

The datasets for this investigation consist of microtremor array data collected at: 1)  18 sites in Salt Lake and Utah valleys, Utah, and 2)  two sites as part of the Frontier Observatory for Research in Geothermal Energy (FORGE) near Milford, Utah. Each of the 18 sites in the Salt Lake and Utah valleys were acquired with four-sensor arrays with three-component (3C) sensors having flat response from 0.033 Hz to 50 Hz. The data acquired as part of the FORGE investigation used both 3C broadband and 5-Hz geophone sensors. Additional information on these datasets can be found in the supporting documentation provided in this data release as well as in the paper by Zhang and others (2019) that utilized these data.

Tags: bayesian-monte-carlo-inversion, broadband, earth-science, earthquake-hazard, earthquake-hazards-program, ehp, geologic-hazards-science-center, geophone, ghsc, near-surface-vs-structure, spac, spatial-auto-correlation, usgs, usgs-5c647629e4b0fe48cb373ea5
Organization: Department of the Interior
Pesticide constituent data from the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP), August 2013 - May 2018, schedule 2437 constituents

This Data release presents results for pesticide constituents in 460 samples collected from domestic and public-supply wells in August 2013-May 2018 for the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP). The samples were analyzed for 225 pesticide constituents on USGS National Water Quality Laboratory analytical schedule 2437. Results from quality-control samples collected with the environmental samples and results from laboratory quality-control samples were used to re-process the data to meet project data-quality objectives. The data release includes the final approved results tabulated by result and by sample, the original and final values for results affected by the quality-control re-processing, ancillary and summary information about the pesticide constituents, and results from field replicate and field blank samples.

Tags: california, domestic-well-water-use, environment, gama-priority-basin-project, geoscientificinformation, groundwater-quality, mojave-desert, pesticide-and-herbicide-contamination, sacramento-valley, san-joaquin-valley, sierra-nevada-foothills, usgs-5ea9c59a82cefae35a20fd77
Organization: Department of the Interior
Airborne imaging spectrometer data collected for characterizing mineral resources near Nabesna, Alaska, 2014: Run05

Imaging spectrometer (hyperspectral) data were collected using the HyMap™ sensor over the Nabesna Area of Interest (AOI) in the eastern Alaska Range, July 14 and July 21, 2014. The primary study area was a remote part of the eastern Alaska Range where porphyry deposits are exposed. The HyMap imaging spectrometer measured reflected sunlight in 126 narrow channels spanning the 0.4 to 2.5 micron wavelength region of the electromagnetic spectrum. The data were collected at a nominal 6-m ground-instantaneous field of view (GIFOV). A total 1,900 square kilometers were collected. This data release provides flight line data for the survey and a report describing the dataset and procedures

Tags: alaska, alaska-range, bond-creek, canada, chisana-river, envi, environment-for-visualizing-images, hymap, hyperspectral-imaging, imaging-spectroscopy, infrared-imaging, mineral-resources-program, mrp, nabesna, nabesna-glacier, nabesna-river, nutzotin-mountains, orange-hill, remote-sensing, shortwave-infrared, spectroscopy, swir, usgs-59553194e4b04e08be5327f3, visible-light-imaging, visible-near-infrared, vnir, wrangell-mountains, wrangell-saint-elias-national-park, wrangell-saint-elias-national-preserve, yukon-territory
Organization: Department of the Interior
CoSMoS (Coastal Storm Modeling System) Central California v3.1 wave-hazard projections: 100-year storm in Santa Barbara County

This data contains maximum model-derived significant wave height (in meters) for the sea-level rise (SLR) and storm condition indicated. 
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. Projections for CoSMoS v3.1 in Central California include flood-hazard information for the coast from Pt. Conception to the Golden Gate. Outputs include SLR scenarios of 0.0, 0.25, 0.5, 0.75, 1.0, 1.5, 2.0, 2.5, 3.0, and 5.0 meters; storm scenarios include background conditions (astronomic spring tide and average atmospheric conditions) and simulated 1-year/20-year/100-year return interval coastal storms. Methods and processes used in Central California are replicated from and described in O'Neill and others (2018).Please read metadata and inspect output carefully.  Data are complete for the information presented.
      

Tags: beaches, central-california, central-california-coast, 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, santa-barbara-county, sea-level-change, sea-level-rise, state-of-california, storm-surge, storms, usgs-5d1284aee4b0941bde56eb2a, water-depth, waves, wind
Organization: Department of the Interior
Synthetic storm-driven flood-inundation grids for coastal communities along the Atlantic Ocean and Shark River and adjacent to the Belmar tide gage from Long Branch to Spring Lake, NJ

Digital flood-inundation maps for coastal communities within Monmouth County in New Jersey were created by water surfaces generated by an Advanced Circulation hydrodynamic (ADCIRC) and Simulating Waves Nearshore (SWAN) model from the Federal Emergency Management Agency (FEMA) Region II coastal analysis and mapping study (Federal Emergency Management Agency, 2014). Six synthetic modeled tropical storm events from a library of 159 events were selected based on parameters including landfall location or closest approach location, maximum wind speed, central pressure, and radii of winds. Two storm events were selected for the tide gage providing two "scenarios" and accompanying inundation-map libraries. 
The contents of this data release support the following publication:
Suro, T.P., Niemoczynski, M.J., Boetsma, A.C., and Niemoczynski, L.M., 2023, Moderate flood level scenarios: synthetic storm-driven flood-inundation maps for coastal communities in 10 New Jersey counties: U.S. Geological Survey Scientific Investigations Report 2023-5005, 64 p., https://doi.org/10.3133/sir20235005.
The landing page on which this and 24 other storm scenarios reside is:
Niemoczynski, L.M., Niemoczynski, M.J., Boetsma, A.C., and Suro, T.P., 2023, Synthetic storm-driven flood-inundation grids for coastal communities in 10 New Jersey counties: U.S Geological Survey data release, https://doi.org/10.5066/P9RVF9P8.
References cited:
Federal Emergency Management Agency, 2014, FEMA Region II Coastal Analysis and Mapping Study, accessed November 2, 2018, at http://www.region2coastal.com/resources/about-the-coastal-flood-study/

Tags: digital-maps, flood-inundation-maps, floods, monmouth-county, new-jersey-coastal, oceans, tide-gages, usgs-623e06bcd34e915b67d6ba5d
Organization: Department of the Interior
2013 Ecological Process Monitoring in Western Basin Lake Erie -- Dreissenids

This dataset includes information collected from “ecological process monitoring stations” located across the western basin of Lake Erie (originating at the Maumee River and reaching as far east as the Bass Islands).  Nine worksheets are included in this file, of which 1 is a meta-data sheet that describes the variable names and purpose of the other sheets.  Included herein is the initial and final sizes of caged Lampsilis siliquoidea mussels placed at each of the afore-mentioned stations, along with the size and mass of dreissenid mussels that grew on Hester-Dendy samplers at the same locations and measurements of cyanobacterial abundance (as inferred from satellite imagery).  In addition, measurements of lipids and fatty acids in Lampsilis siliquoidea foot tissues are also reported for each mussel and 30 initial controls.  See associated manuscript for more details.

Tags: ecosystem-process-monitorring, fatty-acids, lake-erie, maumee-bay, maumee-river, ohio, rivermouth, usgs-55f02cbfe4b0dacf699ea02e, western-lake-erie
Organization: Department of the Interior
Field portable X-ray fluorescence data for the western Mojave Desert, San Bernardino County, California

These data were collected using field portable (handheld) X-ray fluorescence (pXRF) equipped with a 4-watt Ta/Au X-ray tube. Samples of surficial alluvium, rock, and archived drill cuttings from monitoring wells in the western part of the Mojave Desert, 60 to 210 kilometers (km) northeast of Los Angeles, California, were measured using as part of an investigation of naturally-occurring trace elements dissolved in groundwater. Surficial alluvium samples were collected from small stream channels draining distinct geologic units, or from previously mapped river deposits, and generally consisted of silt, sand, and granules to small pebbles. Twigs and other detritus were removed prior to measurement. Rocks were collected from outcrops or from colluvium eroded from nearby outcrops and were broken to expose fresh surfaces whenever possible. Measurements were made on 180 samples of alluvium and rock, and archived drill material (cuttings) from 24 monitoring well sites, located over an approximately 14,300 square km area between March 2015 and May 2018.  
Measurements on National Institute of Standards and Technology (NIST) and U.S. Geological Survey standard reference materials (available in a separate child page associated with https://doi.org/10.5066/P9CU0EH3) indicated the pXRF was sufficiently accurate for selected trace elements for the intended purpose of the dataset. Standard reference material indicated a need to adjust instrument beam times to optimize measurements of chromium. Measurements on a silica dioxide blank showed consistent clean (few to no measurable elements) data.

Tags: arsenic, barstow, california, chromium, el-mirage, environment, geochemistry, joshua-tree, newberry-springs, ridgecrest, san-bernardino-county, twentynine-palms, uranium, usgs-5b33c2fae4b040769c17318a, victorville, western-mojave-desert, x-ray-fluorescence
Organization: Department of the Interior
Wind rose plots for the volcano: 343072  Taburete

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-58d016dee4b0236b68f5313f, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Wind rose plots for the volcano: 357093  Tolguaca

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-58d01802e4b0236b68f532c5, volcanic-ash, volcanic-eruption-forecasting, wind
Organization: Department of the Interior
Streamflow measurements collected along the Deer Creek main stem and tributaries on March 26, 2014, in St. Louis County, Missouri

Streamflow wading measurements were made on March 26, 2014 within the Deer Creek watershed in St. Louis County, Missouri, following U.S. Geological Survey methods in Turnipseed and Sauer (2010). This effort occurred during a date and time void of rainfall or snowmelt runoff to properly evaluate a base-flow condition. Measuring locations were chosen based on inflow junctions (for example open channel tributaries or pipe outflows) such that main stem streamflow could be evaluated above and below the inflow. A total of 31 main stem and 25 inflow streamflow measurements were made over 9 miles along the main stem reach of Deer Creek starting at Magna Carta Drive.  This data release includes a table of the streamflow measurements in comma separated values (.csv) format and a map of the main stem and inflow junction measurement locations (Figure 1) and graphical representation of the main stem streamflow correlated to distance downstream from Magna Carta Drive (Figure 2).

Tags: biota, seepage, streamflow, usgs-62180682d34ec739b2dd28a3
Organization: Department of the Interior
Coastal Bathymetry of the Bering, Chuckhi, and Beaufort Seas

Bathymetric contours were generated from soundings collected by National Ocean Service vessels from ~1900 to ~1971. The 1:250,000 maps are available for U.S. coastal waters. Bathymetric contours are in meters, with 10 meter intervals out to 200 m, supplemented by 2 m contours. Beyond 200 m, contours are at 50 m intervals to maximum depth. The GIS database derived from these maps includes the Bering, Chukchi, and Beaufort Seas in western and northern Alaska (~100 maps).

Tags: arctic-ocean, bathymetry, bathymetry-and-elevation, beaufort-sea, bering-sea, chukchi-sea, computational-methods, contouring, contours, distributions, geoscientificinformation, oceans, usgs-1f4a4424-aa90-4a42-b08f-9e690023652c
Organization: Department of the Interior
Nearshore Multibeam Bathymetry Data: Madeira Beach, Florida, February 2017

An Ellipsoidally Referenced Survey (ERS) using two Teledyne Reson SeaBat T50-P multibeam echosounders, in dual-head configuration, was conducted by the U.S Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) nearshore Madeira Beach, Florida February 13-17, 2017. This dataset, Madeira_Beach_2017_MBES_1m_xyz.zip, includes the processed elevation point data (x,y,z), as derived from a 1-meter (m) bathymetric grid.

Tags: applanix-pos-mv-wavemaster-ii, bathymetry, elevation, florida, geophysics, geoscientificinformation, gulf-of-mexico, hydrography, imagerybasemapsearthcover, location, madeira-beach, marine-geology, marine-geophysics, multibeam-sonar, ocean-characteristics, ocean-processes, oceans, saint-petersburg, seafloor-mapping, spcmsc, st-petersburg-coastal-and-marine-science-center, teledyne-reson-t50-p, u-s-geological-survey, united-states-of-america, usgs, usgs-1e3b3714-c4f2-403d-8d96-f6b2bf34c7d0
Organization: Department of the Interior
Assessment of carbon dioxide piscicide treatments: Data

Spreadsheets include data that was used to evaluate the efficacy of dry ice administered under-ice as a tool for reducing the overwinter survival of invasive carps. There are 10 CSV associated with this study

Tags: asian-carp, biota, carbon-dioxide, pest-control, usgs-5c97a0dde4b0b8a7f62884ef, winterkill
Organization: Department of the Interior
Machine-learning model predictions and groundwater-quality rasters of chloride in aquifers of the Mississippi Embayment

Groundwater is a vital resource in the Mississippi embayment of the central United States. An innovative approach using machine learning (ML) was employed to predict groundwater salinity—including specific conductance (SC), total dissolved solids (TDS), and chloride (Cl) concentrations—across three drinking-water aquifers of the Mississippi embayment. A ML approach was used because it accommodates a large and diverse set of explanatory variables, does not assume monotonic relations between predictors and response data, and results can be extrapolated to areas of the aquifer not sampled. These aspects of ML allowed potential drivers and sources of high salinity water that have been hypothesized in other studies to be included as explanatory variables. The ML approach integrated output from a groundwater-flow model and water-quality data to predict salinity, and the approach can be applied to other aquifers to provide context for the long-term availability of groundwater resources.
The Mississippi embayment includes two principal regional aquifer systems; the surficial aquifer system, dominated by the Quaternary Mississippi River Valley Alluvial aquifer (MRVA), and the Mississippi embayment aquifer system, which includes deeper Tertiary aquifers and confining units. Based on the distribution of groundwater use for drinking water, the modeling focused on the MRVA, middle Claiborne aquifer (MCAQ), and lower Claiborne aquifer (LCAQ). Boosted regression tree (BRT) models (Elith and others, 2008; Kuhn and Johnson, 2013) were developed to predict SC and Cl to 1-kilometer (km) raster grid cells of the National Hydrologic Grid (Clark and others, 2018) for 7 aquifer layers (1 MRVA, 4 MCAQ, 2 LCAQ) following the hydrogeologic framework of Hart and others (2008). TDS maps were created using the correlation between SC and TDS. Explanatory variables for the BRT models included attributes associated with well location and construction, surficial variables (such as soils and land use), and variables extracted from a MODFLOW groundwater flow model for the Mississippi embayment (Haugh and others, 2020a; Haugh and others, 2020b). Prediction intervals were calculated for SC and Cl by bootstrapping raster-cell predictions following methods from Ransom and others (2017). For a full description of modeling workflow and final model selection see Knierim and others (2020).


Tags: alabama, aquifer, arkansas, boosted-regression-tree, groundwater, groundwater-quality, illinois, kentucky, louisiana, machine-learning, mathematical-modeling, mississippi, tennessee, usgs-5df7eedbe4b0cdded7393f94
Organization: Department of the Interior
Lifespan of marsh units in Connecticut salt marshes

The lifespans of salt marshes in Connecticut are calculated based on estimated sediment supply and sea-level rise (SLR) predictions, following the methodology of Ganju and others (2020). The salt marsh delineations are from Ackerman and others (2023). The SLR predictions are local estimates corresponding to increases of 0.3, 0.5 and 1.0 meter in global mean sea level (GMSL) by 2100, as projected by Sweet and others (2022). This work has been a part of the USGS’s effort to expand the national assessment of coastal change hazards and forecast products to coastal wetlands. The aim is to equip federal, state and local managers with tools to estimate the vulnerability and ecosystem service potential of these wetlands. For this purpose, the response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services. This project has been funded in part by the United States Environmental Protection Agency under assistance agreement DW-014-92531201-1 to N. Ganju.

Tags: coastal-ecosystems, coastal-processes, connecticut, elevation, environment, estuarine-processes, estuary, geospatial-datasets, inlandwaters, lifespan, long-island-sound, marsh-health, oceans, salt-marsh, sea-level-change, sediment-transport, united-states, usgs-664c9c2bd34e1955f5a4f45a, vegetation, wetland-ecosystems, wetland-functions
Organization: Department of the Interior