In accordance with SO #3423 - The Gulf of America and SO #3424 - Mount McKinley and Landmarks Honoring the Alaskan People, new USGS data releases specific to those named places will utilize the new name Gulf of America and the restored name Mount McKinley. Per USGS practice, historical data will retain the name of the geographic features as they were known at the time the data were originally released.
Data Release
Digital Polymerase Chain Reaction (dPCR) and Presence/Absence Quantitative Polymerase Chain Reaction (qPCR) Data From the Sediment-Bound Contaminant Resiliency and Response Strategy Pilot Study, Northeastern United States, 2015
By Dale W. Griffin, William M. Benzel, Shawn C. Fisher, Michael J. Focazio, Luke R. Iwanowicz, Daniel K. Jones, Keith A. Loftin, and Timothy J. Reilly
Summary
The purpose of these datasets was to define which samples contained antibiotic resistance genes (screened antibiotic resistance gene targets) and Vibrio species, the number of detectable targets per sample and the quantity of those respective gene targets per gram of soil. These data were determined from samples collected in the northeast United States, in support of the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy.
Data
| File Name and Description | Metadata (XML format) | Metadata (text format) | Download File |
|---|---|---|---|
| qPCRdata_SCoRR2015.zip Presence/absence quantitative polymerase chain reaction (qPCR) data. |
qPCRdata_SCoRR2015_metadata.xml | qPCRdata_SCoRR2015_metadata.txt | qPCRdata_SCoRR2015.zip (20 KB) |
| dPCRdata_SCoRR2015.zip Digital polymerase chain reaction (dPCR) data. |
dPCRdata_SCoRR2015_metadata.xml | dPCRdata_SCoRR2015_metadata.txt | dPCRdata_SCoRR2015.zip (20 KB) |
Figure 1. Area of sample collection.
Suggested Citation
Griffin, D.W., Benzel, W.M., Fisher, S.C., Focazio, M.J., Iwanowicz, L.R., Jones, D.K., Loftin, K.A., and Reilly, T.J., 2019, Digital polymerase chain reaction (dPCR) and presence/absence quantitative polymerase chain reaction (qPCR) data from the sediment-bound contaminant resiliency and response strategy pilot study, northeastern United States, 2015: U.S. Geological Survey data release, https://doi.org/10.5066/F7XS5SH2