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.
Filter Total Items: 12898
Data describing the effects of elastic leg-loop harnesses on adult and juvenile Common Terns
These data describe the affects of elastic leg-loop harnesses on the reproductive success and behavior of adult Common Terns and the growth and behavior of juvenile Common Terns. These data support a USGS authored manuscript.
Marine Observations of Longfin Smelt Spirinchus thaleichthys in the northeast Pacific Ocean
This dataset is a compilation of Longfin Smelt observations from multiple sources, including research institutions and museums, and local, state, and federal fisheries agencies.
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 (Palmyra): 1
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 the primar
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 have viral l
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 data.
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 through c
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 of 101 sit
Surface electrical resistivity tomography, magnetic, and gravity surveys in Redwell Basin and the greater East River watershed near Crested Butte, Colorado, 2017
Surface electrical resistivity tomography (ERT), time-domain electromagnetics (TEM), nuclear magnetic resonance (NMR), magnetics, and gravity data were acquired in 2016, 2017 and 2018 in the greater East River Watershed near Crested Butte Colorado with a focused effort in Redwell Basin. Five ERT profiles were acquired within Redwell Basin and Brush Creek to map geologic structure at depths up to 4
Predicted Streamflow Modification in Contiguous United States Streams
Empirical models described in previous publications were developed and applied to estimate the probability of streamflow modification for every stream segment in the conterminous United States from 1980-2015. This metadata record documents 6 comma separated tables populated with predictions of streamflow modification (please see the Supplemental Element for citations or please refer to the cross-r
Regional-scale Model Predictions of the Relation Between Biological Integrity and Streamflow Modification
The US Geological Survey (USGS) conducted a study (Carlisle and others 2017) with a national-scale dataset composed of ecological data from the USGS National Water-Quality Assessment Project and the US Environmental Protection Agency, matched to USGS streamgaging sites. In a follow-up study (Carlisle and others 2019), additional data from three regional assessments conducted by USGS were combined
Data Release for: A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States
Benthic diatom assemblages are known to be indicative of water quality but have yet to be widely adopted in biological assessments in the United States due to several limitations. Our goal was to address some of these limitations by developing regional multi-metric indices (MMIs) that are robust to inter-laboratory taxonomic inconsistency, adjusted for natural covariates, and sensitive to a wide r