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Dataset of magnetic susceptibility and magnetization measurements from the Monument dike swarm in Central Oregon, USA Dataset of magnetic susceptibility and magnetization measurements from the Monument dike swarm in Central Oregon, USA
We measured the magnetic fabric of 205 oriented paleomagnetic specimens, subsampled from 97 samples collected from 15 dikes of the Monument dike swarm. Anisotropy of magnetic susceptibility is the directionally dependent response of a specimen to an induced magnetization and is a function of the magnetic mineral properties (e.g., size, shape, mineralogy, domain state, orientation). We...
Labeled satellite imagery for training machine learning semantic segmentation models of coastal shorelines Labeled satellite imagery for training machine learning semantic segmentation models of coastal shorelines
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 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...