AndreaBozzo/ceres-open-data-index huggingface dataset:
Mercury concentration data for soil, surface water and rice grain from six commercial rice growing fields in the Sacramento Valley of California (USA)

Mercury (Hg) is a well-known toxic element and environmental contaminant. The central valley of California has long been identified as a hotspot for Hg contamination due to the historic mining of Hg in the California coast range, and its use in the mining of gold in the Sierra Nevada, with these mountainous regions bordering the east and the west of the valley, respectively. While the whole central valley is world renowned as a major agricultural area, the northern portion, known as the Sacramento valley region, is dominated by commercial rice production. Since rice is grown in flooded fields, and since wetland soils are known to be particularly effective habitats for converting inorganic mercury into the more toxic methylmercury (MeHg) form, there is increased interest in the extent to which rice growing wetlands can produce MeHg and the extent to which MeHg produced in soils can be exported in drainage water or taken up into the edible the rice grain.
The dataset includes a survey of six commercial rice growing fields in the Sacramento valley, with respect to total mercury (THg) and MeHg in shallow surface sediment, surface water, and rice grain. The sampling period extends over a full annual cycle, from September 2017 through October 2018, and includes primary hydrologic and field management periods (initial field flooding, growing season, field draining / harvest, and post-harvest / fallow). Surface sediment was sampled from the field centers, while surface water was sampled at water control inlets, field centers, and water control outlets. Rice grain was sampled immediately before harvest (September-October) in both 2017 and 2018. 
This data release includes five tables provided in machine readable (comma-separated values, *.csv) format: 1) ‘T1_SacValley_dictionary.csv’, the Data Dictionary, which provides definitions and details related to the other four data tables and includes citations of analytical methods; 2) ‘T2_SacValley_sed.csv’, data associated with surface sediment; 3) ‘T3_SacValley_water.csv’, data associated with surface water; 4) ‘T4_SacValley_rice.csv’, data associated with harvested rice grain; and 5) ‘T5_SacValley_QA.csv’, quality assurance data summary.

Tags: agricultural-regions, agricultural-sites, agriculture, biochemistry, biogeochemistry, california, chemical-analysis, environment, farming, geochemistry, mercury, mercury-analysis, mercury-contamination, mercury-cycle, sacramento-san-joaquin-delta, sacramento-valley, sediment, sediment-analysis, sediment-geochemistry, surface-water-quality, suspended-material-water, usgs-64233566d34e807d39bb9207, water-quality
Organization: Department of the Interior
High-Resolution Aeromagnetic Survey of the Greater Spokane Area, Washington and Idaho

This data release provides access to a low-altitude, aeromagnetic survey of a part of eastern Washington and northwestern Idaho centered approximately at Spokane, Washington, and referred to as the Spokane aeromagnetic survey.  The  survey includes the cities of Spokane and Cheney, numerous smaller communities, and Fairchild Air Force Base.   Magnetic anomalies reflect Miocene rocks of the Columbia River Basalt Group overlying Precambrian through Mesozoic basement rocks, including the Priest River metamorphic core complex.   These data were acquired between May 17 and June 12, 2013, by EDCON-PRJ, Inc., working under contract to the U.S. Geological Survey.  Total magnetic field values were acquired using a fixed-wing aircraft flown at a target elevation 200 m above terrain (300 m over Spokane) and along flight lines and tie lines spaced 400 m and 4000 m apart, respectively.  Flight lines were directed with a heading of 70 degrees east of north; tie lines were directed 160 degrees east of north.  A total of 12,105 line-kilometers were acquired over an area of 4,330 square km.  The details of the Spokane aeromagnetic survey are described in the document Spokane_Contract_Report.pdf available for download in this data release.

Tags: aeromagnetic-surveying, cheney, crust-earth, earthquakes, geoscientificinformation, kootenai-pend-oreille-spokane, magnetic-anomaly, magnetic-field-earth, magnetometer-measurement, neotectonic-processes, spokane, usgs-5e88cffa82cee42d134428dc
Organization: Department of the Interior
Monthly Satellite-Estimated Precipitation Reports for the Republic of the Marshall Islands (ver. 2.1, January 2025)

The Republic of the Marshall Islands (RMI) is a nation of more than thirty low-lying atolls and islands, most of which are inhabited, dispersed across an Exclusive Economic Zone (EEZ) over 770,000 square miles in the tropical central North Pacific Ocean. Monitoring environmental conditions for potential drought risk is challenging in such a dispersed Island nation, and current drought hazard products provide generalities regarding conditions on a broad geographic scale. A team of USGS scientists and managers of natural resources and natural hazards in the RMI used IMERG (Integrated Multi-satellitE Retrievals for GPM) satellite estimates of precipitation to develop content and a template for timely monthly reporting of precipitation for 23 inhabited atolls and islands in the RMI. The team finalized report content and layout in December 2022, and updated the report layout in August 2024. The reports are available here.

Tags: ailinglaplap-atoll, ailuk-atoll, arno-atoll, aur-atoll, catalogs-and-indexes, ebon-atoll, enewetak-atoll, geoscientificinformation, imerg, jabat-island, jaluit-atoll, kili-island, kwajalein-atoll, lae-atoll, lib-island, likiep-atoll, majuro-atoll, maloelap-atoll, mejit-island, mili-atoll, monthly, namdrik-atoll, namu-atoll, oceans, precipitation, rainfall-index, reports, republic-of-the-marshall-islands, ujae-atoll, usgs-63f78dfbd34e4f7eda4564d5, utirik-atoll, wotho-atoll, wotje-atoll
Organization: Department of the Interior
Datasets used to map the base-flow recession time constants in the Niobrara National Scenic River in Nebraska, 2016-18

The base flow recession time constant (tau) is a hydrologic index that characterizes the ability of a ground-water system to supply flow to a stream draining from that system. Tau and other correlated hydrologic indices have been used as explanatory variables to greatly improve the predictive power of low-flow regression equations. Tau can also be used as an indicator of streamflow dependence on groundwater inflow to the channel. Tau values were calculated for 10 streamgages in the Niobrara National Scenic River study area.
The calculated tau values were then used to create a kriged map.  Kriging is a geostatistical method that can be used to determine optimal weights for measurements at sampled locations (streamgages) for the estimation of values at unsampled locations (ungaged sites). The kriged tau map could be used (1) as the basis for identifying areas with different hydrologic responsiveness, with differing potential to demonstrate the effects of management changes and (2) in the development of regional low-flow regression equations.  The Geostatistical Analyst tools in ArcGIS Pro version 2.5.2 (Environmental Systems Research Institute, 2012) were used to create the kriged tau map and perform cross validation to determine the root mean square error (RMSE) of the tau map.

Tags: brown, cherry, geoscientificinformation, groundwater-and-surface-water-interaction, inlandwaters, keya-paha, kriging, nebraska, niobrara, seepage-studies, stream-gage-measurement, streamflow, usgs-5fce9135d34e30b91239702f
Organization: Department of the Interior
Estimates of herbicide use for the 20 most-used herbicides in the conterminous United States

This coverage contains estimates of herbicide use for the 20 most-used
herbicides in the conterminous United States as reported in Gianessi
and Puffer (1991). Herbicide-use estimates in this coverage are reported
for each county polygon as acres treated, pounds of active ingredient
used, and pounds used per square mile.
The herbicide-use estimates provided by Gianessi and Puffer (1991) list
acres treated and pounds of active ingredient applied for a given crop
in each county for which use has been estimated. Cropping data are from the
1987 Census of Agriculture, and are subject to occasional suppressions of
acreage estimates at the county level due to problems of confidentiality
and census disclosure rules. The herbicide-use estimates included in
this coverage are totals of use on all crops treated in a given county.
		
The polygons representing county boundaries in the conterminous United
States, as well as lakes, estuaries, and other nonland-area features
were derived from the Digital Line Graph (DLG) files representing the
1:2,000,000-scale map in the National Atlas of the United States (1970).
		
Herbicides
Herbicide use
Counties
United States

Tags: environment, geoscientificinformation, herbicide-use-estimates-for-counties-in-the-united-states, inlandwaters, usgs-4aa231f7-bc8b-48ac-a5de-0defa391efd0
Organization: Department of the Interior
Intertidal biofilm nutritional quality, quantity and pigment 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 nutritional quality, quantity and pigment characteristics 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 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 chlorophyll-a (chl-a; indicator of biomass), lipids, total organic carbon (TOC), carbohydrates and pigments (indicators of taxonomic groups). Using multiple and single response partial least squares regression, we modeled the nutritional quality components (chl-a, lipids, TOC, carbohydrates) with field spectra and scaled models to the South Bay using an AVIRIS-NG image collected on April 15, 2021. Pigments (chl-b, fucoxanthin, diadioxanthin, zeaxanthin) were likewise modeled and scaled to the South Bay. Results indicated high biomass and nutritional quality component concentrations within a tidal marsh restoration site and some creek outflows. 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-661dbb93d34e7eb9eb7e3c02
Organization: Department of the Interior
Meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona

Our goal for this work is to place better constraints on aeolian atmospheric-surface interactions through long-term monitoring of an active, bi-modal dune field located near Grand Falls, Arizona. This dune field has been monitored since 2013 by the USGS, and data from each collection year are released as USGS Data Release products. Data described here is the meteorological component of the Imagery, sediment collection, photogrammetry, and meteorological data from April 2023 to July 2023, Grand Falls Dune Field, Arizona Data Release.
Our instruments are set up near an active ripple field in the Grand Falls Dune Field. The instrument array includes a meteorological weather station that records temperature, barometric pressure, relative humidity, wind direction, wind speed, solar radiation, and precipitation every 15 minutes , three BlazeVideo cameras situated surrounding the ripple field that take images every 10 minutes to capture ripple migration, and a suite of passive sediment catchers. In addition to the deployed instruments, each time we visit the field site we also image the ripple field using a Nikon D750 (35 mm) camera. This data is processed using the software Agisoft Metashape Professional to create digital elevation models of the ripple field.

Tags: arizona, atmospheric-and-climatic-processes, climatologymeteorologyatmosphere, dune-field, field-inventory-and-monitoring, field-monitoring-stations, geoscientificinformation, grand-falls, navajo-indian-reservation, ripple-field, usgs-662ac4a0d34ea70bd5f0bc9c
Organization: Department of the Interior
30-Year (1990-2019) Annual Average of DAYMET Precipitation and Temperature for North America

This metadata record describes the 30-year annual average of precipitation in millimeters (mm) and temperature (Celsius) during the period 1990–2019 for North America. The source data were produced by and acquired from DAYMET daily climate data (2020) and presented here as a series of two 1-kilometer resolution GeoTIFF files. An open source python code file used to process the data is also included.

Tags: 30-year-average-precipitation, 30-year-average-temperature, biota, climate, precipitation, temperature, usgs-620a80bdd34ec05caca60baf
Organization: Department of the Interior
Cottonwood Lake Study Area-Wetland Vegetation Zones-2000

Spatial polygons of vegetation zones in 2000 for wetlands; P1, P2, P3, P4, P6, P7, P8, P11, T1, T2, T3, T4, T5, T6, T7, T8, and T9 within the Cottonwood Lake Study Area, Stutsman County, North Dakota. Created from a collection of digital orthorectified images from aerial photographs of the study area acquired during 2000 using Stewart and Kantrud classification system.

Tags: aquatic-vegetation, biota, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagteddy, chase-lake-wetland-management-districtgtstutsman-county-waterfowl-production-areagtshuler, cottonwood-lake-study-area, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtaquatic-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtlacustrine-wetlands, earth-sciencegtbiospheregtterrestrial-ecosystemsgtwetlandsgtpalustrine-wetlands, earth-sciencegtbiospheregtvegetationgtvegetation-cover, environment, inlandwaters, north-dakota, northern-great-plains, prairie-pothole-region, stutsman-county, surface-water-non-marine, united-states-of-america, usgs-58c827b4e4b0849ce9796112, vegetation-changes, wetland-ecosystems, wetlands
Organization: Department of the Interior
California spotted owl fledgling counts, climate, and landscape habitat at territories on the Lassen National Forest, CA 1991-2010

This is a comma separated values (csv) file used to conduct the logistic quantile regression analyses in R provided by Cade et al. (2017.  Logistic quantile regression provides improved estimates for bounded avian counts: A case study of California spotted owl fledgling production. The Auk: Ornithological Advances).  The data set consists of records of California spotted owl fledgling counts on 88 territories on the Lassen National Forest, CA from 1991-2010.  Climatic conditions for various time periods by year for each territory were obtained from PRISM and landscape habitat conditions surrounding owl territories were obtained from LANDFIRE.  The owl data were provided by J. J. Keane of the U.S. Forest Service, the climate and habitat data were compiled and meshed with the owl data by B. R. Noon and R. D. Scherer of Colorado State University, and the final data set used for analyses were compiled by B. S. Cade of the U. S. Geological Survey.

Tags: biota, bounded-counts, california, lassen, logistic-quantile-regression, regression-analysis, spotted-owls, usgs-5910958ce4b0e541a03a85c1
Organization: Department of the Interior
Saginaw Bay Restoration Assessment Dikes

This dataset represents the location of dikes within the Saginaw Bay Restoration Assessment (SBRA) study area. An ArcGIS model identified dikes as having a difference in elevation and slope above a certain threshold. See the full data release documentation and the GLCWRA webpage: https://glcwra.wim.usgs.gov/ for further information.

Tags: environment, geoscientificinformation, great-lakes, holocene, hydrology, inlandwaters, lake, lake-huron, lakeshore, michigan, natural-resource-management, remediation, resource-management, river, saginaw, stream, usgs-65369411d34ee4b6e05bb603, water-quality, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Greig Street camera locations and attitudes for low-altitude aerial images collected during unmanned aerial systems (UAS) flights over of the Lake Ontario shoreline in the vicinity of Sodus Bay, New York in July 2017

Low-altitude (80-100 meters above ground level) digital images were obtained from a camera mounted on a 3DR Solo quadcopter, a small unmanned aerial system (UAS), along the Lake Ontario shoreline in New York during July 2017. These data were collected to document and monitor effects of high lake levels, including shoreline erosion, inundation, and property damage in the vicinity of Sodus Bay, New York. This data release includes images tagged with locations determined from the UAS GPS; tables with updated estimates of camera positions and attitudes based on the photogrammetric reconstruction; tables listing locations of the base stations, ground control points, and transect points; geolocated, RGB-colored point clouds; orthomosaic images; and digital elevation models for each of the survey regions. Collection of these data was supported by the Federal Emergency Management Agency, the State of New York Departments of State and Environmental Conservation, and the USGS Coastal and Marine Geology Program and was conducted under USGS field activity number 2017-042-FA.
   

Tags: 3dr-solo-quadcopter, aerial-imagery, aerial-photography, agisoft-photoscan, camera-locations, cmgp, coastal-and-marine-geology-program, elevation, federal-emergency-management-agency, field-activity-number-2017-042-fa, geoscientificinformation, global-positioning-system, gps, great-lakes, greig-street, inlandwaters, lake-ontario, lakeshore, location, low-altitude-aerial-imagery, navigation, navigational-data, new-york, photographs, photos, remote-sensing, ricoh-grii, shoreline-photographs, sodus-bay, sodus-ny, sodus-point, state-of-new-york-department-of-conservation, state-of-new-york-department-of-state, u-s-geological-survey, uas, unmanned-aerial-system, usa, usgs, usgs-5b1ee154e4b092d965254a46, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0394 land-water classification data

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. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f52f4e4b006a11f66eaa2, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Electrical Resistivity Tomography (ERT) Surveys on Cedar River Floodplain, Cedar Rapids, Iowa, 2015

Electrical resistivity tomography (ERT) surveys were collected in April 2015 to support hydrogeologic characterization of the alluvial aquifer and to assess the suitability of larger-scale airborne geophysics. For this investigation, five sites were surveyed with ERT methods. At each site three surveys were collected, including: dipole-dipole, Schlumberger, and inverse Schlumberger configurations. For each survey a total of 56 electrodes spaced 5-meters (m) apart were used. During the ERT measurement, current is injected through two current electrodes and voltage is measured sequentially across multiple pairs of potential electrodes, which is used to determine the apparent resistivity of the subsurface. Results were combined into a merged dataset. ERT surveys can be inverted to obtain resistivity profiles that can be interpreted for subsurface layers. This data release provides only the raw ERT data.

Tags: aquifer, bedrock, cedar-rapids, cedar-river, electrical-resistivity-imaging, environment, geophysics, geoscientificinformation, iowa, usgs-5d02959ce4b05cc71caf1141
Organization: Department of the Interior
Monitoring Trends in Burn Severity Thematic Burn Severity Mosaic for CONUS in 2006

The Monitoring Trends in Burn Severity (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. All fires reported as greater than 1,000 acres in the western U.S. and greater than 500 acres in the eastern U.S. are mapped across all ownerships. MTBS produces a series of geospatial and tabular data for analysis at a range of spatial, temporal, and thematic scales and are intended to meet a variety of information needs that require consistent data about fire effects through space and time. This map layer is a thematic raster image of MTBS burn severity classes for all inventoried fires occurring in CONUS during calendar year 2006. Fires omitted from this mapped inventory are those where suitable satellite imagery was not available, or fires were not discernable from available imagery.

Tags: ak, alaska, burn-severity, burned-area, continental-u-s, conus, differenced-normalized-burn-ratio, fire-location, fire-occurrence, hawaii, hi, imagerybasemapsearthcover, landsat, location, mtbs, normalized-burn-ratio, pr, prescribed-fire, puerto-rico, sentinel, united-states, us, usgs-5e921bf582ce172707f02d22, wildfire, wildland-fire
Organization: Department of the Interior