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Data on invasive corallimorphs Palmyra Data on invasive corallimorphs Palmyra
Invasive marine species are well documented but options to manage them are limited. At Palmyra Atoll National Wildlife Refuge (Central North Pacific), native invasive corallimorpharians, Rhodactis howesii, have smothered live native corals since 2007. Laboratory and field trials were conducted evaluating two control methods to remove R. howesii overgrowing the benthos at Palmyra Atoll...
Wildlife mortality events in counties surrounding the Chesapeake Bay recorded in the Wildlife Health Information Sharing Partnership Event Reporting System (WHISPers) from 2000-2020 Wildlife mortality events in counties surrounding the Chesapeake Bay recorded in the Wildlife Health Information Sharing Partnership Event Reporting System (WHISPers) from 2000-2020
This data set is composed of all events in the Wildlife Health Information Sharing Partnership Event Reporting System (WHISPers) between 1/1/2000 and 12/31/2020 from counties bordering the Chesapeake Bay. Relevant fields include WHSPers ID number, estimated number of animals affected, event start and end dates, states, counties, species involved, event diagnoses, etiological category of...
Viral loads, histology, and adverse events in transgenic mice after passive transfer of serum from black-footed ferrets (Mustela nigripes) used to assess the anti-viral efficacy of a subunit SARS-CoV-2 vaccine candidate Viral loads, histology, and adverse events in transgenic mice after passive transfer of serum from black-footed ferrets (Mustela nigripes) used to assess the anti-viral efficacy of a subunit SARS-CoV-2 vaccine candidate
This data set provides biological information from of a captive study of transgenic mice that received either passive serum transfers from black-footed ferrets (BFFs) that were vaccinated against SARS-CoV-2 or BFFs that were unvaccinated, or a monoclonal antibody against SARS-CoV-2 or lastly a placebo. After these treatments mice were challenged with SARS-CoV-2. The data included here...
Data release: Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning (Provisional Data Release) Data release: Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning (Provisional Data Release)
These data are preliminary or provisional and are subject to revision. They are being provided to meet the need for timely best science. The data have not received final approval by the U.S. Geological Survey (USGS) and are provided on the condition that neither the USGS nor the U.S. Government shall be held liable for any damages resulting from the authorized or unauthorized use of the...
Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020) Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)
Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term memory deep learning model. In-situ measurements used for model training and evaluation are from 12,227 lakes and are included as well as daily meteorological conditions and lake properties. Median per-lake estimated error found...
Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022) Multi-task Deep Learning for Water Temperature and Streamflow Prediction (ver. 1.1, June 2022)
This item contains data and code used in experiments that produced the results for Sadler et. al (2022) (see below for full reference). We ran five experiments for the analysis, Experiment A, Experiment B, Experiment C, Experiment D, and Experiment AuxIn. Experiment A tested multi-task learning for predicting streamflow with 25 years of training data and using a different model for each...