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Low biomass microbiology samples collected from a hydraulically fractured well producing from the Niobrara Shale in Colorado

Dates

Publication Date
Time Period
2018-10-11

Citation

Shelton, J.L., and DeVera, C.A., 2019, Low biomass microbiology samples collected from a hydraulically fractured well producing from the Niobrara Shale in Colorado: U.S. Geological Survey data release, https://doi.org/10.5066/P9D9ZOGU.

Summary

Low biomass waters provide a unique challenge in the field of microbial ecology. It is difficult to determine, when biomass concentrations are extremely low, whether or not the sequencing data received are of good quality and representative of the waters sampled. Fifty-nine samples including 8 blanks were collected from a low biomass hydraulically fractured well producing from the Niobrara Shale in Colorado. At least 4 samples were collected by filtering the exact volume for each listed here: 1000 mL, 900 mL, 800 mL, 700 mL, 600 mL, 500 mL, 400 mL, 300 mL, 200 mL, 100 mL, 0 mL (blanks).

Contacts

Point of Contact :
Jenna L Shelton
Process Contact :
Jenna L Shelton
Originator :
Jenna L Shelton, Christina A DeVera
Metadata Contact :
Eric A Morrissey
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Energy Resources Program
USGS Mission Area :
Energy and Minerals

Attached Files

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OTU_Table_LowBiomass_DATA.csv 107.94 KB
Tax_Table_LowBiomass_DATA.csv 109.65 KB
Low_Biomass_Microbiology_METADATA.xml
“Metadata file”
Original FGDC Metadata

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262.66 KB

Purpose

The data collected were obtained in order to determine how reproducible low biomass data are, and if there is a threshold concentration of biomass that must be passed in order for a dataset to be of quality. These data could be used to determine if the concentration of biomass in a low biomass dataset is high enough for the data to be of a passable quality.

Map

Communities

  • Energy Resources Program
  • USGS Data Release Products

Tags

Provenance

Please see attached metadata record for full dataset provenance.

Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9D9ZOGU

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