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Data Releases

The data collected and the techniques used by USGS scientists should conform to or reference national and international standards and protocols if they exist and when they are relevant and appropriate. For datasets of a given type, and if national or international metadata standards exist, the data are indexed with metadata that facilitates access and integration.

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Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing Detecting trajectories of regime shifts and loss of resilience in coastal wetlands using remote sensing

Raster data shows landscape scale trajectories of change as four potential scenarios based on Normalized Difference Vegetation Index (NDVI) trends and standard deviation trends using full time series (Scenarios_All_FULL_TS.tif) as well as time series up to LandTrendr breakpoint if detected (Scenarios_All_LT_TS.tif). Time series analysis for trend use Landsat surface reflectance imagery...

Row crop and cover crop residue spectra from lab spectrometer and spaceborne PRISMA imagery, Maryland, USA.,2006; 2021-2022. U.S. Geological Survey Data Release. Row crop and cover crop residue spectra from lab spectrometer and spaceborne PRISMA imagery, Maryland, USA.,2006; 2021-2022. U.S. Geological Survey Data Release.

This data release contains reflectance spectra of residue (senesced vegetation) for common row crops (corn, soybean, winter wheat) as well as diverse cover crops (cereals, legumes, brassicas) collected in the laboratory using Analytical Spectral Devices (ASD) spectrophotometers (n = 296) and collected in the field using the Itialian Space Agency's spaceborne PRecursore IperSpettrale...

Eastern box turtle detection study field data collected at Patuxent Refuge, Laurel MD Eastern box turtle detection study field data collected at Patuxent Refuge, Laurel MD

A total of 264 unique turtle shells were observed in the dataset, based on the unique turtle IDs. Dataset Overview: This dataset contain information about various turtle sightings, with each entry detailing the image file and associated metadata for each turtle sighting. The dataset includes the following fields: index: An identifier for each row or entry in the dataset (appears to be...

Ground-based frequency domain electromagnetic (FDEM) data from the Illinois River Basin in support of the USGS Next Generation Water Observing System Ground-based frequency domain electromagnetic (FDEM) data from the Illinois River Basin in support of the USGS Next Generation Water Observing System

This data release contains frequency domain electromagnetic (FDEM) geophysical data collected in fields and forests near and along the banks of the Kankakee River near Hanna, Indiana to observe near surface (top 10 meters or less) electrical conductivity variations, potentially related to soil moisture, lithology, and/or pore fluid conductivity. Both a GEM-2 and a DualEM-421 instrument...

CAnVAS Mean Climate Parameters with Uncertainty Estimates (1970-1999 and 2010-2099), Derived from Multivariate Adaptive Constructed Analogs (MACAv2-Livneh) statistically downscaled Global Climate Models CAnVAS Mean Climate Parameters with Uncertainty Estimates (1970-1999 and 2010-2099), Derived from Multivariate Adaptive Constructed Analogs (MACAv2-Livneh) statistically downscaled Global Climate Models

This dataset contains the multi-model means of various climate parameters with uncertainty bounds from the Multivariate Adaptive Constructed Analogs statistically downscaled global climate model dataset for different time slices between 1970 and 2099. The data is provided for both the Representative Concentration Pathway 4.5 W m-2 and 8.5 W m-2 future climate scenarios.

Remote sensing and in-situ data to support chlorophyll-a mapping in Blue Mesa Reservoir from Sentinel-2 imagery Remote sensing and in-situ data to support chlorophyll-a mapping in Blue Mesa Reservoir from Sentinel-2 imagery

This data set includes estimates of aquatic chlorophyll a concentration and reservoir temperature for Blue Mesa Reservoir, CO. A Random Forest modeling approach was trained to model near-surface aquatic chlorophyll a using near-coincident Sentinel-2 satellite imagery and water samples analyzed for chlorophyll a concentration. The trained chlorophyll a model was applied to Sentinel-2...
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