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Codebook vectors from a trained emergent self-organizing map displaying multivariate topology of geochemical and reservoir temperature data from produced and geothermal waters of the United States

Metadata Updated: October 29, 2023

This data matrix contains the codebook vectors for a 82 x 50 neuron Emergent Self-Organizing Map which describes the multivariate topology of reservoir temperature and geochemical data for 190 samples of produced and geothermal waters from across the United States. Variables included are coordinates derived from reservoir temperature and concentration of Sc, Nd, Pr, Tb, Lu, Gd, Tm, Ce, Yb, Sm, Ho, Er, Eu, Dy, F, alkalinity as bicarbonate, Si, B, Br, Li, Ba, Sr, sulfate, H (derived from pH), K, Mg, Ca, Cl, and Na converted to units of proportion. The concentration data were converted to isometric log-ratio coordinates (following Hron et al., 2010), where the first ratio is Sc serving as the denominator to the geometric mean of all of the remaining elements (Nd to Na), the second ratio is Nd serving as the denominator by the geometric mean of all of the remaining elements (Pr to Na), and so on, until the final ratio is Na to Cl. Both the temperature and log-ratio coordinates of the concentration data were normalized to a mean of zero and a sample standard deviation of one. The original source data all come from the U.S. Department of Energy Resources Geothermal Data Repository and are detailed in Engle (2018).

Access & Use Information

Public: This dataset is intended for public access and use. License: No license information was provided. If this work was prepared by an officer or employee of the United States government as part of that person's official duties it is considered a U.S. Government Work.

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Dates

Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023

Metadata Source

Harvested from DOI EDI

Additional Metadata

Resource Type Dataset
Metadata Created Date June 1, 2023
Metadata Updated Date October 29, 2023
Publisher U.S. Geological Survey
Maintainer
@Id http://datainventory.doi.gov/id/dataset/52cc737aa36ea28c0daff4f562136340
Identifier USGS:5bbe1379e4b0fc368eb1d6fd
Data Last Modified 20200819
Category geospatial
Public Access Level public
Bureau Code 010:12
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://datainventory.doi.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 9e61963b-87c1-46b0-a236-f52df3f8bafd
Harvest Source Id 52bfcc16-6e15-478f-809a-b1bc76f1aeda
Harvest Source Title DOI EDI
Metadata Type geospatial
Old Spatial -167.96997070003,24.107919367389,-65.665283204118,71.712426012555
Publisher Hierarchy White House > U.S. Department of the Interior > U.S. Geological Survey
Source Datajson Identifier True
Source Hash 93b48151d80bdf2ed8804a17cddc64afc644d5dbac64adcc1afaf49eb6ed7bf4
Source Schema Version 1.1
Spatial {"type": "Polygon", "coordinates": -167.96997070003, 24.107919367389, -167.96997070003, 71.712426012555, -65.665283204118, 71.712426012555, -65.665283204118, 24.107919367389, -167.96997070003, 24.107919367389}

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