AndreaBozzo/ceres-open-data-index huggingface dataset:
Application of the National Hydrologic Model Infrastructure with the Precipitation-Runoff Modeling System for Puerto Rico, Geospatial Fabric version 1.0, and Daymet version 4 Atmospheric Forcings, 1950-2021

This data release contains inputs for and outputs from hydrologic simulations for Puerto Rico using the Precipitation Runoff Modeling System (PRMS) version 5.2.1, the USGS National Hydrologic Model infrastructure (NHM, Regan and others, 2018), National Hydrologic Geospatial Fabric version 1.0 (Viger and Bock, 2014), and the Daymet version 4 (Thornton et. al., 2020) atmospheric forcing dataset. These simulations were developed to provide estimates of the water budget for the period 1950 to 2021. The model parameters and associated model output included in this data release are described in Swain and Bellino (2022). Specific data included are: 1) model input files, 2) output files of simulated water budget components for each hydrologic response unit (HRU) and stream segment, and 3) performance statistics at selected streamgage locations. The first three years of the simulations are considered 'model initialization' and should not be included in any subsequent analysis.
Model input files, located on the “ Input Data for Hydrologic Simulations of Puerto Rico using the NHM-PRMS, 1950-2021, Daymet version 4” child page, include ASCII formatted PRMS input files of 1) daily time step atmospheric forcings of minimum air temperature (tmin.day), maximum air temperature (tmax.day), precipitation accumulation (precip.day), and humidity (humidity.day), 2) PRMS model parameters (NHM-PRMS.param), 3) a PRMS control file that provides the simulation configuration information (NHM-PRMS_data_release.control), 4) and the PRMS data file that includes time series of streamflow observations (sf_data). Descriptions of model input parameters are included in the parameters_data_dictionary.csv file on this main page. Descriptions of control file parameters are included in the control_data_dictionary.csv file on this main page. Additional information about the model calibration and associated parameters is provided in Swain and Bellino (2022).
Model output files, located on the “Output Data for Hydrologic Simulations of Puerto Rico using the NHM-PRMS, 1950-2021, Daymet version 4” child page, include 18 PRMS output variables for the model simulation. Each NetCDF format output file contains daily time step outputs for the period 1950-2021 for each hydrologic response unit or stream segment in the model application. Descriptions of model output variables are included in the output_variables_data_dictionary.csv file on this main page.
Streamflow statistics of model performance at selected streamgages are located on this main page (gage_stats_pr.csv).

Tags: hydrologic-processes, hydrology, inlandwaters, mathematical-modeling, usgs-661eb368d34e7eb9eb7e3e19
Organization: Department of the Interior
Bird use of winter-flooded rice fields in the Sacramento Valley, California

Bird and habitat surveys were conducted in winter-flooded rice fields in the Sacramento Valley, California, USA during the fall and winters of 2021-2022 (Oct 2021 through February 2022) and 2022-2023 (December 2022 through February 2023). Rice field sampling consisted of (1) a bird survey that was followed by (2) an overall habitat assessment and (3) a more detailed habitat transect survey. Rice farms in the Sacramento Valley are organized into separate rice fields that each consist of multiple smaller rice checks. This dataset contains 253 surveyed rice checks with the observed bird abundances for each rice check, calculated diversity metrics, and measured habitat variables.

Tags: agricultural-sites, biota, birds, farming, usgs-66205af2d34e7eb9eb7f1a4e
Organization: Department of the Interior
Projected coastal flooding inundation depths for 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in American Samoa (ver. 1.1, February 2025)

This data release provides flood depth GeoTIFFs based on sea-level rise (SLR) for the coast of the most populated American Samoa s most populated islands of Tutuila, Ofu-Olosega, and Ta'u. Digital elevation models were used to extract SLR flooded areas at 10-m2 resolution along the coastlines for 0.00 m, +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m SLR scenarios.

Tags: climate-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, earth-sciences, effects-of-climate-change, environment, environmental-equity, environmental-justice, flooding, floods, geoscientificinformation, geospatial-datasets, mathematical-modeling, oceans, ofu-island, olosega-island, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, predictions, sea-level-change, spatial-analysis, storms, tau-island, territory-of-american-samoa, tutuila-island, u-s-geological-survey, usgs, usgs-661ddc6cd34e7eb9eb7e3c20, waves
Organization: Department of the Interior
Projected coastal flooding inundation depths for 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands (ver. 1.1, February 2025)

This data release provides flood depth GeoTIFFs based on potential future sea-level rise (SLR)for the coast of the most populated Hawaiian Islands of O'ahu, Moloka'i, Kaua'i, Maui, and Big Island. Digital elevation models were used to extract SLR flooded areas at 10-m2 resolution along the coastlines for 0.00 m, +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m SLR scenarios.

Tags: climate-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, earth-sciences, effects-of-climate-change, environment, environmental-equity, environmental-justice, flooding, floods, geoscientificinformation, geospatial-datasets, hawaiian-islands, island-of-hawaii, kauai, mathematical-modeling, maui, molokai, oahu, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, predictions, sea-level-change, spatial-analysis, state-of-hawaii, storms, u-s-geological-survey, usgs, usgs-661dc7c4d34e7eb9eb7e3c17, waves
Organization: Department of the Interior
Intertidal biofilm taxonomic group proportion maps derived from AVIRIS-Next Generation 3.7-meter airborne imagery, South San Francisco Bay, California

Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., chlorophytes, diatoms and cyanobacteria), which inhabit the surface of intertidal mudflats. Such biofilms have critical roles in shorebird diets, mudflat stabilization, primary productivity, and carbon storage. These raster datasets represent the likely relative proportion of three biofilm taxonomic groups – chlorophytes, diatoms, and cyanobacteria – located on the mudflats of South San Francisco Bay in Spring 2021, during peak shorebird migration.  To produce these datasets, we used a multi-scalar remote sensing approach that coupled in-situ data with data from an ASD field spectrometer, a HySpex VNIR/SWIR imaging spectrometer (5 mm), and the AVIRIS-Next Generation (NG) airborne imaging spectrometer (3.7 m). We used these data to develop and scale algorithms of pigments that are indicators of the taxonomic groups – chlorophytes: chlorophyll-a (chl-a) and chl-b; diatoms: chl-a, fucoxanthin and diadinoxanthin; and cyanobacteria: chl-a and zeaxanthin. Using multiple and single response partial least squares regression, we modeled each pigment with field spectra and scaled models to the South Bay using an AVIRIS-NG image collected on April 15, 2021. Using the resulting pigment indicator maps, we generated maps of the proportions of each taxonomic group within each pixel, which was normalized by mapped chl-a concentrations. Maps created using hyperspectral remote sensing data will support managers’ need to visualize shorebird habitat quality and research on drivers of biofilm quality and quantity.

Tags: estuarine-coastal-intertidal, mudflat, usgs-661dbc62d34e7eb9eb7e3c07
Organization: Department of the Interior
Intertidal biofilm presence map derived from AVIRIS-Next Generation 3.7-meter airborne imagery, South San Francisco Bay, California

Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., chlorophytes, diatoms and cyanobacteria), which inhabit the surface of intertidal mudflats. Such biofilms have critical roles in shorebird diets, mudflat stabilization, primary productivity, and carbon storage. This raster dataset represents the likely presence and absence of biofilm located on the mudflats of South San Francisco Bay in Spring 2021, during peak shorebird migration. To produce this dataset, we used a multiscalar remote sensing approach, which coupled in-situ data with hyperspectral data from an ASD field spectrometer, a HySpex VNIR/SWIR imaging spectrometer (5 mm), and the AVIRIS-Next Generation (NG) airborne imaging spectrometer (3.7 m). We calculated the B-index (Biofilm presence or absence index) based on the depth of the chlorophyll-a absorption feature at 680nm. We calibrated the index with HySpex spectra paired with in-situ measurements of biofilm chlorophyll-a concentrations (ng/g), a proxy for biofilm biomass. After validating the index with HySpex images, we defined a threshold index value to represent biofilm presence. Threshold B-index values of 0.015, 0.02 and 0.025 were set to represent sparse to abundant biofilm presence. We applied the B-index to the AVIRIS-NG image collected on April 15, 2021 over South San Francisco Bay. Maps created using hyperspectral remote sensing data will support managers’ need to visualize shorebird habitat quality and research on drivers of biofilm quality and quantity.

Tags: estuarine-coastal-intertidal, mudflat, usgs-661dbc0bd34e7eb9eb7e3c04
Organization: Department of the Interior
Intertidal biofilm presence, quantity, nutritional quality, and composition maps derived from AVIRIS-Next Generation 3.7-meter airborne imagery, South San Francisco Bay, California

Microbial biofilm communities are composed of fungi, bacteria, and phytoplankton taxonomic groups (e.g., cyanobacteria, diatoms, and chlorophytes), which inhabit the surface of intertidal mudflats. Such biofilms have critical roles in shorebird diets, mudflat stabilization, primary productivity, and carbon storage. These raster datasets represent the presence, nutritional quality, quantity, pigment characteristics, and likely taxonomic groups of biofilms located on the mudflats of South San Francisco Bay in Spring 2021, during peak shorebird migration.  To produce these datasets, we used a multi-scalar remote sensing approach that coupled in-situ data coupled with data from an ASD field spectrometer, a HySpex VNIR/SWIR imaging spectrometer (5 mm), and the AVIRIS-Next Generation (NG) airborne imaging spectrometer (3.7 m). Using a suite of modeling approaches, we used these data to develop and scale algorithms of each parameter to the South Bay using an AVIRIS-NG image collected on April 15, 2021. See child items for more information. Maps created using hyperspectral remote sensing data will support managers’ need to visualize shorebird habitat quality and research on drivers of biofilm quality and quantity.

Tags: estuarine-coastal-intertidal, mudflat, usgs-661da668d34e7eb9eb7e3b63
Organization: Department of the Interior
UMRS Floodplain Inundation Model - Open River Reach - South - Section 1

Floodplain inundation is believed to be the dominant physical driver of an array of ecosystem patterns and processes in the Upper Mississippi River System (UMRS). Here, we present the relative elevation of a slope-detrended floodplain terrain surface and river mile location used to map surface water depths derived from gaging locations along UMRS, as described in Van Appledorn et al. (2021; doi: 10.1002/rra.3628). We excluded areas permanently wetted (aquatic areas), surfaces in agricultural production, roads, and developed areas. The data are intended for use in geospatial analyses of UMRS floodplain ecosystem patterns and processes.

Tags: flood-plain, floods, freshwater-ecosystems, hydrology, river-systems, usgs-661d7da3d34e7eb9eb7e3ac9
Organization: Department of the Interior
Bayou Dupont Sediment Delivery System (BA-39): 2021 land-water classification

The Louisiana State Legislature created the 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 Bayou Dupont Sediment Delivery System (BA-39) project for 2021. 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, ba-39, conservation, cwppra, digital-elevation-models, ecosystem-monitoring, environment, geographic-information-systems, gulf-of-mexico, image-collections, image-mosaics, louisiana, louisiana-coastal, remote-sensing, united-states-of-america, usgs-661d4c86d34e7eb9eb7e39e6, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Greater Sage Grouse Encounter Histories in Modoc County, California 2019 - 2021

The greater sage-grouse (Centrocercus urophasianus: hereafter; sage-grouse) population in Modoc County California is geographically isolated and has been subsidized by translocation to prevent inbreeding depression since 2005. Despite significant efforts to increase the population through translocations and habitat improvement by cutting encroaching western juniper (Juniperus occidentalis), only a single lek remains (from 56 in the 1940s). Since 2017, several large wildfires have occurred within the landscape that led to an increase in invasive grasses and a decrease in sagebrush (Artemisia sp.) cover that has further degraded important nesting and brooding habitat. The data collected consists of monthly encounter histories for adult females, bi-weekly enounter histories for broods, and daily encounter histories for nests from 2019 - 2021.

Tags: ecology, environment, fires, great-basin, native-species, nevada, shrubland-ecosystems, usgs-661d32bfd34e7eb9eb7e3988, western-united-states, wildlife
Organization: Department of the Interior
Sediment thickness from seismic reflection data collected offshore of Eureka, California

This 100-m-resolution sediment thickness data raster for the Offshore of Eureka, California, map area is part of USGS Data Series 781 (Golden and Cochrane, 2019). Seismic data were collected by the USGS in 2009 using a mini-sparker seismic systems installed on the Humboldt State University R/V Coral Sea. The data were processed by the USGS into segy format files. The data are available as a georeferenced TIFF image.

Tags: cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, elevation, eureka, geoscientificinformation, geospatial-datasets, humboldt-county, image-mosaics, marine-geophysics, natural-resource-exploration, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, sea-floor-characteristics, sediment-deposition, seismic-methods, seismic-reflection-profiling, state-of-california, u-s-geological-survey, usgs, usgs-661cf5ea-d02e-4f73-89d7-c2047abcafac
Organization: Department of the Interior
Water normalized geochemistry data for marine ferromanganese crusts and phosphorite minerals in the Southern California Borderland

Ferromanganese crust and phosphorite minerals were collected using remotely operated vehicles in the Southern California Borderland during two separate research cruises – NOAA Ocean Exploration Trust cruise NA124 onboard the E/V Nautilus in 2020, and Schmidt Ocean Institute cruise FK210726 onboard the R/V Falkor in 2021. Ferromanganese crust and phosphorite samples were described and subsampled for geochemical analysis at the USGS Pacific Coastal and Marine Science Center. Geochemical analyses were completed by outside commercial laboratories, and the results were provided to the USGS. Geochemical data, bulk and layer thickness information, as well as location information (latitude, longitude, depth) for each sample are provided here. The geochemical Borderland work was funded by the Pacific Coastal and Marine Science Center and ship time was funded by NOAA Office of Ocean Exploration and Research (grant number NA19OAR110305).

Tags: assessments, chemical-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, geochemistry, geoscientificinformation, global-ocean-mineral-resources, mass-spectroscopy, material-resources, metallic-mineral-resources, mineral-resources, nonliving-resources, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, physical-chemical-features, southern-california-borderland, u-s-geological-survey, usgs, usgs-6619c762d34e7eb9eb7dce05
Organization: Department of the Interior
Pesticide residues in monarch butterflies collected from Pacific Grove, California, USA in January 2024

In January 2024 adult monarch butterflies (Danaus plexippus (Linnaeus, 1758)) were found dead near their overwintering site in Pacific Grove, Monterey County, California, USA. Ten of the deceased monarchs (six females and four males) were collected from three sites by staff at the Pacific Grove Museum of Natural History and sent to the U.S. Geological Survey Organic Chemistry Research Laboratory for analysis. Each individual adult monarch was analyzed following methods in Black et al., 2023 and Gross et al., 2024a and 2024b for 181 pesticides and pesticide transformation products; 15 pesticides were detected and included 8 insecticides/insecticide transformation products, 2 fungicides, and 4 herbicides/herbicide transformation products. Concentrations of individual pesticides ranged from 1.0 to 2,645 nanograms per gram (ng/g) dry weight. Concentrations were highest for three pyrethroid insecticides; bifenthrin ranged from 18.8 to 855.3 ng/g, cypermethrin 6.7 to 2,645.1 ng/g and permethrin from not detected (less than 1.0 ng/g) to 1,349.3 ng/g, all other pesticides detected were less than 25 ng/g.

Tags: biota, butterflies-and-moths, california, environment, fungicide, herbicide, insecticide, pesticide, pesticide-and-herbicide-contamination, usgs-6619be46d34e7eb9eb7dcdfa
Organization: Department of the Interior
Projected sea-level rise flooding inundation extents for 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in American Samoa (ver. 1.1, February 2025)

This data release provides flooding extent polygons based on sea-level rise (SLR) water levels for the coast of American Samoa's most populated islands of Tutuila, Ofu-Olosega, and Ta'u. Digital elevation models were used to predict SLR flooding extents for 0.00 m, +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m SLR scenarios.

Tags: climate-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, earth-sciences, effects-of-climate-change, environment, environmental-equity, environmental-justice, flooding, floods, geoscientificinformation, geospatial-datasets, mathematical-modeling, oceans, ofu-island, olosega-island, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, predictions, sea-level-change, spatial-analysis, storms, tau-island, territory-of-american-samoa, tutuila-island, u-s-geological-survey, usgs, usgs-66186625d34e7eb9eb7d7bb9, waves
Organization: Department of the Interior
Distance to the nearest stream by stream order for eighteen selected watersheds in the United States, Comma-separated value formatted

Accurate representation of stream networks at various scales in a hydrogeologic system is integral to modeling groundwater-stream interactions at the continental scale. To assess the accurate representation of stream networks, the distance of a point on the land surface to the nearest stream (DS) has been calculated. DS was calculated from the 30-meter Multi Order Hydrologic Position (MOHP) raster datasets for 18 watersheds in the United States that have been prioritized for intensive monitoring and assessment by the U.S. Geological Survey. DS was calculated by multiplying the 30-meter MOHP Lateral Position (LP) datasets by the 30-meter MOHP Distance from Stream Divide (DSD) datasets for stream orders one through five. DS was calculated for the purposes of considering the spatial scale needed for accurate representation of groundwater-stream interaction at the continental scale for a grid with 1-kilometer cell spacing. The data are available as Comma-Separated Value formatted files.

Tags: delaware-river-basin, edisto-santee-basin, environment, geoscientificinformation, groundwater, hydrogeologic-framework, hydrologic-position, illinois-river-basin, lower-brazos-basin, lower-colorado-basin, lower-mississippi-st-francis-basin, lower-tennessee-basin, missouri-big-sioux-basin, missouri-marias-basin, north-canadian-basin, north-platte-basin, san-joaquin-basin, science-center, southern-florida-basin, trinity-river-basin, u-s-geological-survey, upper-colorado-river-basin, upper-snake-basin, usgs, usgs-6618592dd34e7eb9eb7d7b78, water-availability-and-use-science-program, western-lake-michigan-basin, willamette-river-basin
Organization: Department of the Interior
SnowModel Simulations for the 2022–23 Water Years, near Coal Creek, San Juan Mountains, Colorado, USA

This data release contains SnowModel snow evolution simulation output from water years 2022 to 2023 (October 1, 2021, through September 30, 2023) on a 100-meter (m) geospatial grid for a 3 kilometer (km) × 2 km model domain near Coal Creek off Coal Bank Pass in the San Juan Mountains in southwest Colorado, USA. The three quantities simulated for this release were snow water equivalent for the standard model configuration (swe_standard), snow water equivalent for an open canopy model configuration (swe_open), and incoming shortwave radiation for the open canopy model configuration (qsin_open). The simulation used to produce these outputs was forced using meteorology from the National Land Data Assimilation System (NLDAS-2). Land cover information for the standard simulation was provided by the North American Land Change Monitoring System and land cover for the open canopy model configuration was set to the grassland land cover type. Elevation information was provided by the U.S. Geological Survey (USGS) National Elevation Dataset. This research was funded by the Department of the Interior South Central Climate Adaptation Science Center.

Tags: climatology, colorado, hydrology, rocky-mountains, runoff, san-juan-mountains, snow, snowmelt, snowpack, usgs-66185595d34e7eb9eb7d7b64, water-budget, water-resources
Organization: Department of the Interior
Stable oxygen, hydrogen, sulfur, and carbon isotope analyses of mineral deposits and mineral occurrences in southeast Missouri, Alaska, Arizona, Indonesia, Brazil, and China

Stable isotope analyses are reported (the ratios deuterium/hydrogen, carbon-13/carbon-12, oxygen-18/oxygen-16, and sulfur-34/sulfur-32) for ores and related rocks from the Pea Ridge, Lower Pilot Knob, Bourbon, Iron Mountain, and Kratz Spring iron oxide-apatite deposits in southeast Missouri; the Boss iron oxide-copper-gold deposit in southeast Missouri; the Gagaryah stratiform barite deposit in Alaska; the Canyon, Hack II, and Pigeon breccia pipe uranium deposits in Arizona; the Grasberg porphyry copper-gold deposit in Indonesia; metalliferous occurrences in the Castro Basin, southern Brazil; and the White Mountain gold deposit, Jilin Province, China.

Tags: alaska, arizona, brazil, china, economic-geology, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, grand-canyon, indonesia, mineral-resources, mineral-resources-program, missouri, mrp, pea-ridge, u-s-geological-survey, usgs, usgs-66184148d34e7eb9eb7d7b3c
Organization: Department of the Interior