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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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Sonora Mud Turtles and non-native turtles, Montezuma Well, Yavapai County, Arizona, 1983 - 2015 Sonora Mud Turtles and non-native turtles, Montezuma Well, Yavapai County, Arizona, 1983 - 2015

These data were compiled as part of an ecological study of Sonora Mud Turtles and their interaction with non-native turtles at Montezuma Well in Yavapai County, Arizona. The data consist of observations and measurements of individual turtles captured during the study, and support analyses of population size and trends, general condition and health of the turtles, and female reproduction...

Voice and data telecommunications restoration curves for 15 counties affected by the April 18, 2018, M7.0 HayWired earthquake scenario mainshock Voice and data telecommunications restoration curves for 15 counties affected by the April 18, 2018, M7.0 HayWired earthquake scenario mainshock

These data are a series of telecommunications voice and data restoration percentages for 17 counties affected by the HayWired earthquake scenario, a magnitude 7.0 earthquake occurring on the Hayward Fault on April 18, 2018, with an epicenter in the city of Oakland, CA. These data for telecommunications demand served are derived from residual network capacity based on potential hazard...

pydrip - Software to manage and update data for DRIP pydrip - Software to manage and update data for DRIP

This package handles retrieval and preparation of the source data for DRIP. Source data currently come from two sources. The Dam Removal Science Database is distributed by USGS in ScienceBase (https://doi.org/10.5066/P9IGEC9G) and a complete list of dam removals is distributed by American Rivers in Figshare. We provide these efforts as a package in order to support full transparency on...

Borehole Erosion Test data, Lower American and Sacramento Rivers, California, 2019 (ver. 3.0, July 2020) Borehole Erosion Test data, Lower American and Sacramento Rivers, California, 2019 (ver. 3.0, July 2020)

Borehole erosion tests were performed to quantify sediment erosion rates as a function of depth below grade and flow speed at locations along the Sacramento and American Rivers in 2019. The dataset consists of: - borehole caliper files describing the initial geometry of the borehole, and its shape after each test flow event, - where available, a digital time series describing discharge...

Operation of an electrical barrier to block sea lamprey in the Black Mallard, Michigan, detailing stream temperature, conductivity, discharge, electric field intensity, and animals trapped and killed during 2016, 2017, and 2018 Operation of an electrical barrier to block sea lamprey in the Black Mallard, Michigan, detailing stream temperature, conductivity, discharge, electric field intensity, and animals trapped and killed during 2016, 2017, and 2018

Sea lamprey (Petromyzon marinus) control is achieved in tributaries to the Laurentian Great Lakes by applying lamprey-specific pesticides (lampricide) to habitats containing larval sea lamprey. Lampricide treatments are cheaper and more effective in watersheds where dams block runs of adult sea lamprey and hence limit the distribution of sea lamprey larvae. However, dams impound water...

Geochemistry, geochronology, and isotope geochemistry data for rocks and zircons from Mountain Pass, California Geochemistry, geochronology, and isotope geochemistry data for rocks and zircons from Mountain Pass, California

This dataset contains geochemical, geochronologic, and isotopic data collected for rocks and zircons from Mountain Pass, California, USA. See accompanying Economic Geology publication described in the "Larger Work" section of this metadata file for a detailed description of this dataset.
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