Filters: partyWithName: U.S. Geological Survey (X) > Categories: Data Release - In Progress (X) > partyWithName: U.S. Geological Survey, ROCKY MOUNTAIN REGION (X)
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These data were used to describe temporal trends in fish and invertebrate communities in the Fountain Creek basin. This data release consists of invertebrate data collected between 1985 and 2022, and fish data collected between 2003 and 2022. This USGS data release contains all of the input and output files necessary to reproduce the analyses of trends in streamflow described in the U.S. Geological Survey Scientific Investigations Report (http://dx.doi.org/10.3133/sirXXXXXXXX). Description of data sampling methodology and site information are documented in the associated publication (Zuellig and others, 2022).
Categories: Data Release - In Progress;
Tags: Aquatic biology,
Benthic environments,
Colorado,
Community ecology,
Ecology,
This is a catalog of precise relocations of earthquakes surrounding the 2022 Hunga Tonga-Hunga Ha-apai Volcanic Eruption. These were generated using using surface-wave double-difference measurements, and relative magnitudes were computed between events. For details of the methodology used to produce this catalog, and the interpretation of these data, see the Seismological Research Letter publication "High-Precision Characterization of Seismicity from the 2022 Hunga Tonga-Hunga Ha-apai Volcanic Eruption". Locations use the WGS 1984 Datum. One comma-separated table is provided in this data release, relocations.csv, which is a summary of the relocation magnitude analysis. It includes 18 columns: Column 1 (time):...
The variation of Love/Rayleigh phase and group velocity was determined for the continental U. S. and adjacent Canada. By processing ambient noise from the broadband channels of the Transportable Array (TA) of USArray and several PASSCAL experiments and using some earthquake recordings, the effort was focused toward determining dispersion down to periods as short as 2s. The relatively short distances between TA stations permitted the use of a 25 km x 25 km grid for the four independent tomographic inversions (Love/Rayleigh and Phase/group velocity). One reason for trying to obtain short period dispersion was to have a data set capable of constraining upper crust velocity models for use in determining regional moment...
The Machine Learning Asset Aggregation of the PDE (MLAAPDE) is a waveform archive, feature labeled catalog, and Python module that together provide a routine way to gather high-quality input data to train machine learning models. While all the data provided are already publicly available, MLAAPDE packages it in a format that allows a user to prepare input for common machine learning frameworks with few lines of code. Most of the features that are part of the MLAAPDE dataset are selected from the Preliminary Determination of Epicenters (PDE), the official earthquake catalog of the USGS National Earthquake Information Center (NEIC). The PDE aims to provide a complete catalog of source characterization estimates...
This data release pertains to the December 20, 2021, Petrolia, California, United States earthquake sequence. Data are provided in the input formats required for the Wavelet and simulated Annealing SliP (WASP) finite-fault inversion code (https://github.com/slipinversion/WASP). This includes broadband seismic data, local strong-motion accelerometer data, and the static offsets from Global Navigation Satellite Systems (GNSS) used in the finite fault inversion. Figures describing the output are also included. (Child Item: GNSS Data and Finite Fault Modeling) Also included is a high-resolution earthquake catalog surrounding the region. The catalog was produced using cross-correlations and relative relocations. (Child...
Categories: Data,
Data Release - In Progress;
Tags: California,
Earthquake Hazards Program,
GHSC,
Golden,
Petrolia,
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