AndreaBozzo/ceres-open-data-index huggingface dataset:
Biomass/Remote Sensing dataset: 30m resolution tidal marsh biomass samples and remote sensing data for six regions in the conterminous United States (ver. 2.0, June 2020)

Remote sensing based maps of tidal marshes, both of their extents and carbon stocks, have the potential to play a key role in conducting greenhouse gas inventories and implementing climate mitigation policies. Our objective was to generate a single remote sensing model of tidal marsh aboveground biomass and carbon that represents nationally diverse tidal marshes within the conterminous United States (CONUS). To meet this objective we developed the first national-scale dataset of aboveground tidal marsh biomass, species composition, and aboveground plant carbon content (%C) from six CONUS regions: Cape Cod, MA, Chesapeake Bay, MD, Everglades, FL, Mississippi Delta, LA, San Francisco Bay, CA, and Puget Sound, WA. We tested how plant community composition and vegetation structure differences across estuaries influence model development, and whether data from multiple sensors, in particular Sentinel-1 C-band synthetic aperture radar and Landsat, can improve model performance. The final model, driven by six Landsat vegetation indices and with the soil adjusted vegetation index as the most important (n=409, RMSE=464 g/m2, 12.2% normalized RMSE), successfully predicted biomass and carbon for a range of marsh plant functional types defined by height, leaf angle and growth form. Model error was reduced by scaling field measured biomass by Landsat fraction green vegetation derived from object-based classification of National Agriculture Imagery Program imagery. We generated 30m resolution biomass maps for estuarine and palustrine emergent tidal marshes as indicated by a modified NOAA Coastal Change Analysis Program map for each region. With a mean plant %C of 44.1% (n=1384, 95% C.I.=43.99% - 44.37%) we estimated mean aboveground carbon densities (Mg/ha) and total carbon stocks for each wetland type for each region. We applied a multivariate delta method to calculate uncertainties in regional carbon estimates that considered standard error in map area, mean biomass and mean %C. 
The original version 1.0 of the dataset can be obtained by contacting kbyrd@usgs.gov.

Tags: aboveground-carbon-stocks, c-band-synthetic-aperture-radar, cape-cod, chesapeake-bay, multispectral-imagery, national-greenhouse-gas-inventory, plant-biomass, plant-functional-type, puget-sound, remote-sensing, san-francisco-bay, st-mary-parish, terrebonne-parish, the-everglades, tidal-marsh-biomass, usgs-5ed5676382ce2832f04814e0
Organization: Department of the Interior
Daily evaporation rates computed using five methods at the LZ40 platform in Lake Okeechobee, Florida, December 2012 to December 2016

Daily evaporation rates were calculated at the open-water LZ40-platform in the interior of Lake Okeechobee, Florida, from December 1, 2012 through December 31, 2016 using five methods (Shoemaker et al., 2024); specifically, the Penman, Priestly-Taylor, Mass-Transfer, Simple, and Turc equations. Bowen-ratio energy-budget derived daily evaporation rates calculated from micro-meteorological data at the LZ40 site (Wacker, 2020) are considered a standard by which to evaluate the five alternative evaporation methods. Parameterization of each of method and comparison of evaporation using each of the five methods to the Bowen ratio estimates are published by Shoemaker and others (2024).

Tags: evapotranspiration, hydrology, lake-evaporation, usgs-5ed0ff3e82ce2832f044fe08, water-budgets
Organization: Department of the Interior
Study area boundary within the Susquehanna River Valley in South-Central Broome County, Towns of Conklin and Kirkwood

The U.S. Geological Survey (USGS) is providing a polygon feature class showing the extent of the study area, the Binghamton East 1:24,000 quadrangle, located within south-central Broome County, New York, 2014-2021. The shapefile was created and intended for use with geographic information system (GIS) software. A companion report, USGS Scientific Investigations Report 2021-5026 (Van Hoesen and others, 2021; https://doi.org/10.3133/sir20215026) further describes data collection and map preparation.

Tags: broome-county, conklin, geology, glacial, groundwater, hydrogeology, kirkwood, new-york, susquehanna-river, united-states, usgs-5ecfc56982ce30fd980a7b86
Organization: Department of the Interior
Estimating detection and occupancy of secretive marsh bird species in low and high saline marshes in southwestern Louisiana using automated recording units

This dataset compiles all data used in a study on occupancy of secretive marsh birds collected from automated audio recording units in southwest Louisiana. The main data files consist of detection histories for the 11 species across 20 sampling occasions at 33 sites. The sites were randomly selected, and all site level information is provided, including coordinates, marsh type, and habitat designation for our analysis. The sampling information table provides the date of each sample as well as the environmental conditions used as a covariate of detection in our model.

Tags: bioacoustics, birds, cameron-parish, louisiana, marshes, secretive-marsh-birds, sound-recorders, usgs-5ecf119d82ce30fd980854bd, vermillion-parish
Organization: Department of the Interior
Floating and Towed Transient Electromagnetic Surveys used to Characterized hydrogeology underlying Rivers and Estuaries: March to December  2018

Surface and water-borne geophysical methods can provide information for the characterization of the subsurface structure of the earth for aquifer investigations. Floating and towed transient electromagnetic (FloaTEM and tTEM) surveys provide resistivity soundings of the subsurface, which can be related to lithology and hydrogeology. In the  TEM method, electrical current is cycled through a wire in a transmitter loop (Tx), which in turn produces a static magnetic field. When the current is abruptly terminated, an instantaneous current is induced in the earth, and it moves downward and outward as the induced current decays with time. The decay is controlled by the resistivity of the earth. A receiver (Rx) pulled behind the Tx loop measures the secondary magnetic field as a function of time (dB/dt). Decaying voltage measurements at the receiver are converted to apparent resistivity, which can be inverted to recover the depth-dependent resistivity structure of the earth. 
FloatTEM surveys were conducted at four locations on the Eel River near Falmouth, Massachusetts,on the Rainbow Reservoir near Windsor, Connecticut, on the Upper Delaware River near Barryville, New York, and on the Tallahatchie River in Shellmound, Mississippi.  A  tTEM survey was collected adjacent to the Tallahatchie River in Shellmound, Mississippi.  The data collected at each site are provided as separate datasets. This data release includes the averaged, culled and inverted TEM data showing resistivity (in ohm-meters) with depth for each of the survey sites.

Tags: electrical-resistivity-imaging, electromagnetic-surveying, geophysics, geoscientificinformation, geospatial-datasets, greenwood, groundwater, hydrogeology, leflore-county, mississippi, mississippi-alluvial-plain, mississippi-river-valley-alluvial-aquifer, mrva, oceans, resistivity, shellmound, tallahatchie-river, usgs-5ecec5ba82ce30fd9808535b, water-resources
Organization: Department of the Interior
Hydrologic and geophysical data from high-elevation boreholes in Redwell Basin near Crested Butte, Colorado

Four boreholes (MW1, MW1UZ, MW2, MW2.1) were drilled in the fall of 2017 and summer of 2018 in upper Redwell Basin, a headwater catchment underlain by hydrothermally altered sedimentary rock in the Elk Mountains near the town of Crested Butte, Colorado. The boreholes were continuously cored using a wireline HQ-sized coring system and sample a combination of Quaternary-aged surficial colluvium and the Cretaceous-aged Mesaverde Formation. In-situ injection-based hydraulic tests were performed in MW1 and MW2 during drilling while advancing using a single-packer apparatus in tandem with an in-line flow meter and interval pressure monitoring.  Borehole geophysical logging was performed in MW1, MW1UZ, and MW2.1 in the open holes. The boreholes were completed as vertically discrete nested monitoring wells. Pressure transducers have been deployed in selected wells to monitor groundwater level and fluid temperature over time.
This data release includes borehole location and well completion information as well as related hydrologic and geophysical data. The borehole geophysical data directory contains borehole geophysical logs. The hydraulic test data directory contains in-situ packer test data and laboratory permeability/porosity results from selected core samples. The hydrologic monitoring data directory contains groundwater level and temperature data for selected wells.

Tags: borehole-logging, colorado, core-analysis, crested-butte, cretaceous, drilling-and-coring, elk-mountains, environment, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, groundwater, groundwater-level, gunnison-county, gunsight-pass, hydrogeology, lawrence-berkeley-national-laboratory, metal-transport-in-mineralized-mountain-watersheds, mineral-resources-program, mount-sopris-instruments, mrp, permeability, porosity, quaternary, redwell-basin, rocky-mountain-biological-laboratory, subsurface-biogeochemical-research-program, u-s-geological-survey, university-of-wyoming, usgs, usgs-5ecea2ad82ce30fd980852dd
Organization: Department of the Interior
Long-term mean annual total nitrogen and total phosphorus loads estimated using Fluxmaster 5-parameter models and detrended to 2012, Midwest Region of the United States, 1999-2014

This USGS data release contains long-term mean annual total nitrogen and total phosphorus load estimates, and the model coefficients used to obtain the load estimates, for streams in the Midwest Region of the United States. The loads were estimated using the Fluxmaster program (Schwarz and others, 2006, https://pubs.usgs.gov/tm/2006/tm6b3) with a 5-parameter model and detrending to 2012 following the methods described in Saad and others, 2011 (https://doi.org/10.1111/j.1752-1688.2011.00575.x).  A subset of these load estimates are described in Robertson and Saad, 2021 (https://doi.org/10.1111/1752-1688.12905) and were used to evaluate differences in load estimates in the Mississippi/Atchafalaya River Basin based on this method and the methods described in Saad and others, 2019 (https://dx.doi.org/10.3133/sir20195069).  The flow and water-quality input files necessary to reproduce the load estimates included in this data release can be found in Saad and others, 2019 (https://doi.org/10.5066/F7DN436B).

Tags: fluxmaster-model, loads, nutrient-content-water, nutrients, river-systems, streamflow, surface-water-non-marine, surface-water-quality, total-nitrogen, total-phosphorus, usgs-5ed100ec82ce2832f044fe0e, water-quality
Organization: Department of the Interior
Verified Irrigated Agricultural Lands for the United States, 2002–17

The spatial extents of verified irrigated lands were compiled from various federal and state sources across the nation and combined into a single Geographic Information System (GIS) geodatabase for the purpose of model training and validation. In cooperation with U.S. Geological Survey (USGS), researchers at the University of Wisconsin (UW) generated a nation-wide map of irrigated lands using remote-sensing techniques that will be incorporated into future irrigation water-use models.  The verified spatial data varies in scope, accuracy, and time period represented, but in general represents GIS coverages (polygons) of agricultural land irrigated for at least some period during 2002–17.  Data from 14 states were provided to UW (Arizona, California, Colorado, Florida, Georgia, Idaho, Illinois, Mississippi, Montana, New Mexico, Texas, Utah, Washington, and Wyoming). It is important to validate that the remote sensing techniques correctly identify both irrigated and non-irrigated land. Varying data sources prevent this approach from being applied throughout the United States, but most datasets used for validation include at least some “non irrigated” land identification.

Tags: arizona, california, colorado, evaporation, evaportranspiration, florida, georgia, idaho, illinois, inlandwaters, irrigation-water-use, mississippi, montana, new-mexico, remote-sensing, texas, transpiration, usgs-5ece996d82ce30fd9808527b, utah, washington, wyoming
Organization: Department of the Interior
Density measurements on Precambrian rocks in the Iron Mountain-Menominee region, Michigan-Wisconsin

The U.S. Geological Survey (USGS) collected rock density measurements to help understand causative sources of gravity survey anomalies in the Iron Mountain-Menominee region, Michigan-Wisconsin. The measurements were determined from rock samples collected on outcrop and in drill core. The measurements facilitate the interpretation of gravity anomalies and help map the distribution of Precambrian rocks in the region.

Tags: bulk-density, dickinson-county, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, gravitational-field-earth, iron-county, maps-and-atlases, marinette-county, marquette-county, menominee-county, michigan, mineral-resources-program, mrp, u-s-geological-survey, usgs, usgs-5ece93a382ce30fd9808524c, wisconsin
Organization: Department of the Interior
Magnetic susceptibility measurements on Precambrian rocks in the Iron Mountain-Menominee region, Michigan-Wisconsin

The U.S. Geological Survey (USGS) collected rock magnetic susceptibility measurements to help understand causative sources of airborne magnetic survey anomalies in the Iron Mountain-Menominee region, Michigan-Wisconsin. The measurements were made on outcrop and drill core using a handheld magnetic susceptibility meter. The measurements facilitate the interpretation of aeromagnetic anomalies and help map the distribution of Precambrian rocks in the region.

Tags: dickinson-county, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, magnetic-susceptibility, magnetic-susceptibility-analysis, marinette-county, marquette-county, menominee-county, michigan, mineral-resources-program, mrp, u-s-geological-survey, usgs, usgs-5ece926482ce30fd9808523d, wisconsin
Organization: Department of the Interior
Density and magnetic susceptibility measurements on Precambrian rocks in the Iron Mountain-Menominee region, Michigan-Wisconsin

The U.S. Geological Survey (USGS) collected rock physical property measurements to help understand causative sources of gravity and magnetic survey anomalies in the Iron Mountain-Menominee region, Michigan-Wisconsin. A total of 2,356 measurements of magnetic susceptibility and density from 152 locations have been conducted on Precambrian rocks. The measurements aid in interpretation of newly acquired ground-based gravity and airborne magnetic data that are helping to understand concealed Precambrian geology and potential mineral resources. Multiple measurements were made at each location and sample lithology units were derived from existing USGS geologic maps noted in the supplemental information section of the metadata file. However, if no formal unit name exists, the rock lithology determined in the field were recorded. For outcrop measurements, sample locations were determined using handheld Global Position System units. Measurements from drill core samples at the State of Michigan public core facility in Harvey are also presented. For these measurements, the drill hole name, depth, and lithologic unit are provided.

Tags: bulk-density, dickinson-county, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, gravitational-field-earth, iron-county, magnetic-susceptibility, magnetic-susceptibility-analysis, maps-and-atlases, marinette-county, marquette-county, menominee-county, michigan, mineral-resources-program, mrp, u-s-geological-survey, usgs, usgs-5ece8cad82ce30fd98085214, wisconsin
Organization: Department of the Interior
Evaporation at Reedy Lake, daily data, Orange County, Florida, November 28,2001 - December 16, 2019

The data consists of daily evaporation measurements/estimates for the time period November 28, 2001 to December 16, 2019. These data are derived from Bowen ratio energy budget computations of actual evaporation based on meteorological and water temperature data at the USGS Reedy Lake evaporation station (USGS station number 282458081364800). This station is located near the center of a lake within the Lake Wales Ridge physiographic province at location 28 degrees 24 minutes 58 seconds North / 081 degrees 36 minutes 48 seconds West within Orange County, Florida. The black water (tannic) lake is crudely circular in shape (minimum and maximum diameters of 750 and 920 meters) and is largely surrounded by forests. The lake is landlocked aside from a possible overflow to the east at high stage. The lake is within sandy terrain composing the surficial aquifer and likely receives discharges of ground water from the aquifer.

Tags: evaporation, florida, orange-county, usgs-5ece825f82ce30fd980851ec
Organization: Department of the Interior
Inventory of landslides triggered by rainfall on 16-17 January 2019, Los Angeles County, CA

This dataset contains landslide polygons mapped after a rainstorm on 16-17 January 2019.  The majority of the landslides are located in the burn areas of the 2016 San Gabriel Complex fire, the 2014 Colby fire, and the 2009 Morris fire. Additional landslides are located outside those two burn areas. In addition to the landslide polygons, this data release also contains polygons outlining 3 wildfire perimeters: The San Gabriel Complex fire, the Colby fire and the Morris fire.

Tags: debris-flow, landslide, rain-storm, usgs-5ecd980d82ce476925f6558a, wildfire
Organization: Department of the Interior
Landsat Burned Area Products Data Release - Landsat 5 TM products

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had &gt; 0.010 burned proportion were visually assessed as part of a quality assurance check. Scenes with obvious commission errors were removed. The annual products include the maximum burn probability (BP), burn classification count (BC) or the number of scenes a pixel was classified as burned, filtered burn classification (BF) with burned areas persistent from the previous year removed, and the burn date (BD) or the Julian date of the first Landsat scene a burned areas was observed in. Vectorized versions of the BF raster are also provided as shapefiles (BF_labeled) with attributes including summary statistics of BC, BD, BP, as well as the majority level 3 ecoregion (Omernik and Griffith, 2014) and count of pixels by each National Land Cover Database Category (Vogelmann et al., 2001; Yang et al., 2018) for each burned area polygon. These products were generated for the conterminous United States for 1984 through 2019 individually for Landsat TM (5), Landsat ETM+ (7), OLI/TIRS (8), and for all sensors combined. The products for each sensor combination and year are contained in a compressed tar file are available through the USGS Science Base Catalog (https://doi.org/10.5066/P9QKHKTQ) and also at https://gec.cr.usgs.gov/outgoing/baecv/LBA/LBA_CU_C01_V01/ Additional details about the algorithm used to generate these products are described in Hawbaker, T.J., Vanderhoof, M.K., Schmidt, G.L., Beal, Y, Takacs, J.D., Falgout, J.T., Picotte, J.J., and Dwyer, J.L. 2020. The Landsat Burned Area algorithm and products for the conterminous United States. Remote Sensing of Environment, Vol. 244, https://doi.org/10.1016/j.rse.2020.111801

Tags: burned-area, landsat, prescribed-fire, usgs-5ecd73b782ce476925f54c9d, wildfire, wildland-fire
Organization: Department of the Interior
Landsat Burned Area Products Data Release - combined sensor products

The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in temporally-dense time series of Landsat Analysis Ready Data (ARD) scenes to produce the Landsat Burned Area Products. The algorithm makes use of predictors derived from individual ARD Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Scene-level products include pixel-level burn probability (BP) and burn classification (BC) images, corresponding to each Landsat image in the ARD time series. Annual composite products are also available by summarizing the scene level products. Prior to generating annual composites, individual scenes that had &gt; 0.010 burned proportion were visually assessed as part of a quality assurance check. Scenes with obvious commission errors were removed. The annual products include the maximum burn probability (BP), burn classification count (BC) or the number of scenes a pixel was classified as burned, filtered burn classification (BF) with burned areas persistent from the previous year removed, and the burn date (BD) or the Julian date of the first Landsat scene a burned areas was observed in. Vectorized versions of the BF raster are also provided as shapefiles (BF_labeled) with attributes including summary statistics of BC, BD, BP, as well as the majority level 3 ecoregion (Omernik and Griffith, 2014) and count of pixels by each National Land Cover Database Category (Vogelmann et al., 2001; Yang et al., 2018) for each burned area polygon. These products were generated for the conterminous United States for 1984 through 2019 individually for Landsat TM (5), Landsat ETM+ (7), OLI/TIRS (8), and for all sensors combined. The products for each sensor combination and year are contained in a compressed tar file are available through the USGS Science Base Catalog (https://doi.org/10.5066/P9QKHKTQ) and also at https://gec.cr.usgs.gov/outgoing/baecv/LBA/LBA_CU_C01_V01/ Additional details about the algorithm used to generate these products are described in Hawbaker, T.J., Vanderhoof, M.K., Schmidt, G.L., Beal, Y, Takacs, J.D., Falgout, J.T., Picotte, J.J., and Dwyer, J.L. 2020. The Landsat Burned Area algorithm and products for the conterminous United States. Remote Sensing of Environment, Vol. 244, https://doi.org/10.1016/j.rse.2020.111801

Tags: burned-area, landsat, prescribed-fire, usgs-5ecd72f782ce476925f54c95, wildfire, wildland-fire
Organization: Department of the Interior
Data on prairie dogs, plants, arthropod biomass, and birds for Thunder Basin, Wyoming in 2017

Data were collected in 2017 by researchers at the USGS, USDA-ARS, and University of Wyoming on the food webs of plants, prairie dogs, arthropods, and birds in the Thunder Basin National Grassland.  Data were collected from 87 sites in order to parameterize a structural equation model linking prairie dog impacts to changes in vegetation, arthropods, and birds.  Abiotic information such as topographic wetness index, terrain roughness, and soil characteristics were estimated at the same set of plots in order to account for abiotic variation across the landscape.

Tags: biota, ecosystem-engineer, food-web-analysis, grassland-shrubland-transition, prairie-dog, structural-equation-model, thunder-basin, thunder-basin-national-grassland, usgs-5ecbf0eb82ce476925f32d3f, wyoming
Organization: Department of the Interior