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Topo-bathymetric survey at Gandys Beach, New Jersey, 2018 Topo-bathymetric survey at Gandys Beach, New Jersey, 2018

This Data Release contains field topo-bathymetric survey data in a selected saltmarsh shoreline along Gandys Beach, New Jersey, where constructed oyster reefs (CORs, aka oyster castles) were installed to protect the shoreline and enhance habitat for oyster and other species. Oyster castles were constructed as a part of a living shoreline project along Gandys Beach in 2016 in response to...

Potentiometric-Surface Contours in a Bedrock Aquifer near High Falls, New York, 2019–2020 Potentiometric-Surface Contours in a Bedrock Aquifer near High Falls, New York, 2019–2020

This geospatial data set contains groundwater level contours, well locations, and associated metadata that characterize the potentiometric surface near the Rondout pressure-tunnel in High Falls, New York during November 5–7, 2019, and January 21–22, 2020. The pressure tunnel was shut down and partially dewatered for 74 days from November 11, 2019, to January 23, 2020, for inspection and...

Hawaii Island forest bird movement data from 2014 to 2019 Hawaii Island forest bird movement data from 2014 to 2019

This data release includes data and metadata containing estimated and predicted locations of radio telemetered Hawaiian forest birds. Radio telemetry data was collected using an automated radio telemetry network from 2014 to 2019 from birds in two study sites, one a continuous forest and the other a fragmented forest. Four bird species that varied in age and sex were studied: the...

Changes in wildfire occurrence and risk to homes from 1990 through 2019 in the Southern Rocky Mountains, USA (data release) Changes in wildfire occurrence and risk to homes from 1990 through 2019 in the Southern Rocky Mountains, USA (data release)

Wildfires and housing development have increased since the 1990s, presenting unique challenges for fire management. However, it is unclear how the relative influences of housing growth and changing wildfire occurrence have contributed to risk to homes. We fit a random forest using weather, land cover, topography, and past fire history to predict burn probabilities and uncertainty...

Building locations identified before and after the Camp, Tubbs, and Woolsey wildfires Building locations identified before and after the Camp, Tubbs, and Woolsey wildfires

Wildland-urban interface (WUI) maps identify areas with wildfire risk, but they are often outdated due to the lack of building data. Convolutional neural networks (CNNs) can extract building locations from remote sensing data, but their accuracy in WUI areas is unknown. Additionally, CNNs are computationally intensive and technically complex making it challenging for end-users, such as...

Hawaiʻi Ambrosia Beetle Direct ROD Transmission 2018-2022 (ver. 2.0, April 2023) Hawaiʻi Ambrosia Beetle Direct ROD Transmission 2018-2022 (ver. 2.0, April 2023)

This release includes data and metadata (1-2) documenting visitation of ambrosia beetles (Coleoptera: Curculionidae) to healthy ʻōhiʻa (Metrosideros polymorpha) trees in two separate experiments, (3) geographical location and details of the trees used in the experiments, (4) culture of the fungal pathogens Ceratocystis lukuohia and Ceratocystis huliohia from naturally and experimentally...
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