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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Labeled satellite imagery for training machine learning models that predict the suitability of imagery for shoreline extraction Labeled satellite imagery for training machine learning models that predict the suitability of imagery for shoreline extraction
A collection of data releases containing labeled satellite imagery for the purpose of training Machine Learning models to automate the task of shoreline extraction from satellite imagery. Shoreline mapping from satellite imagery, known as Satellite-Derived Shorelines or SDS, has the potential to transform coastal shoreline mapping for erosion hazard mapping and coastal resource...
Labeled satellite imagery for training machine learning models that predict the suitability of semantic segmentation model outputs for shoreline extraction Labeled satellite imagery for training machine learning models that predict the suitability of semantic segmentation model outputs for shoreline extraction
A collection of data releases containing labeled satellite imagery for the purpose of training Machine Learning models to automate the task of shoreline extraction from satellite imagery. Shoreline mapping from satellite imagery, known as Satellite-Derived Shorelines or SDS, has the potential to transform coastal shoreline mapping for erosion hazard mapping and coastal resource...
USGS CoastCam at Isla Verde, Puerto Rico: 2022-2023 Calibration Data USGS CoastCam at Isla Verde, Puerto Rico: 2022-2023 Calibration Data
Two digital video cameras were installed at Isla Verde, Puerto Rico (PR); camera 1 faced northeast offshore and camera 2 faced east-northeast along the beach. Every hour during daylight hours, daily starting in August 2022, the cameras collected raw video and produced snapshots and time-averaged image products. This data release includes the necessary intrinsic orientation (IO) and...
Code to assemble and generate output for an integrated population model of the endangered Cape Sable Seaside Sparrow Code to assemble and generate output for an integrated population model of the endangered Cape Sable Seaside Sparrow
This data release contains the R code to run an integrated population model (IPM) for the Cape Sable Seaside Sparrow (CSSS; Ammospiza maritima mirabilis), a federally endangered bird endemic to a small part of the Everglades in southern Florida, USA, and provides the parameter estimates from the model. The IPM synthesizes thirty years (1992-2021) of range-wide surveys, mark-resight, and...
Thin section images of hand samples and drill core from mafic to ultramafic rocks (ver 2.0, August 2025) Thin section images of hand samples and drill core from mafic to ultramafic rocks (ver 2.0, August 2025)
These datasets include photographic images of thin sections created from hand samples and drill core collected from mafic to ultramafic rocks from different locations across the U.S., shapefiles representing the locations of the hand samples and/or drill core collars, and images showing examples of the approximate scale on the thin section images. The samples were collected in order to...
Extrapolated Offshore Occupancy Predictions for Three Bat Species Extrapolated Offshore Occupancy Predictions for Three Bat Species
We generated an extrapolated surface of predicted occupancy values offshore for the little brown bat (Myotis lucifugus), northern long-eared bat (Myotis septentrionalis), and tri-colored bat (Perimyotis subflavus). Values were generated for each grid cell in the Continental United States (CONUS) Grid-Based Offshore Sampling Frame which extends from coastal areas (i.e., 10 kilometer [km]...