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  3. Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County

Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County

Dates

Publication Date
Time Period
2014-04-01

Citation

Knight, C.A., 2024, Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County: U.S. Geological Survey data release, http://doi.org/10.5066/P1ECT7AM.

Summary

The data herein are geochemical (from X-Ray fluorescence spectrometry), grain size (percent clay, silt, sand), lithological (loss on ignition data), bathymetric, reconstructed IVT, and radioactive isotopes (14-C, 210-Pb, 226-Ra, and 137-Cs). These data were collected from sediments from Leonard Lake, Mendocino County, California, USA starting in 2014. Together, these data provide evidence for a record of extreme precipitation going back three millennia, showing regional pluvial and drought cycles.

Contacts

Point of Contact :
Clarke A Knight
Originator :
Clarke A Knight
Metadata Contact :
Clarke A Knight
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Geology, Minerals, Energy, and Geophysics Science Center
USGS Mission Area :
Ecosystems

Attached Files

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LeonardLake_final_metadata.xml
“Metadata”
Original FGDC Metadata
View 		33.97 KB application/fgdc+xml
XRF_data.csv
“XRF data” 		11.14 KB text/csv
14C_data.csv
“14-C data” 		554 Bytes text/csv
210Pb_data.csv
“210-Pb data” 		611 Bytes text/csv
Bathymetry_LL14.csv
“Bathymetric data” 		27.4 KB text/csv
LOI_data.csv
“LOI data” 		16.88 KB text/csv
PSA_data.csv
“PSA data” 		44.19 KB text/csv
Reconstructed_IVT_final.csv
“Reconstructed IVT data” 		2.27 KB text/csv

Purpose

The data were collected to better understand the long-term hydroclimate of California. An appropriate use of the data is to look for erosional pulses in geochemical, grain size, and lithological data.

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Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P1ECT7AM

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