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EGS Collab Experiment 1: DNA tracer data on transport through porous media

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This submission contains DNA tracer data that supports the analysis and conclusions of the publication, "DNA tracer transport through porous media -The effect of DNA length and adsorption." https://doi.org/10.1029/2020WR028382. This experiment used DNA as an artificial reservoir tracer. Groundwater tracing is an effective way to identify fluid flow pathways and estimate hydrogeologic properties, which are important premises for building reliable hydrological models for transport predictions or contamination mitigations. The objective of this study was to understand the effect of DNA length (i.e., number of base pairs for dsDNA) and adsorption on DNA transport.

Citation Formats

TY - DATA AB - This submission contains DNA tracer data that supports the analysis and conclusions of the publication, "DNA tracer transport through porous media -The effect of DNA length and adsorption." https://doi.org/10.1029/2020WR028382. This experiment used DNA as an artificial reservoir tracer. Groundwater tracing is an effective way to identify fluid flow pathways and estimate hydrogeologic properties, which are important premises for building reliable hydrological models for transport predictions or contamination mitigations. The objective of this study was to understand the effect of DNA length (i.e., number of base pairs for dsDNA) and adsorption on DNA transport. AU - Zhang, Yuran A2 - Hartung, Marshall A3 - Hawkins, Adam A4 - Dekas, Anne A5 - Li, Kewen A6 - Horne, Roland DB - Open Energy Data Initiative (OEDI) DP - Open EI | National Renewable Energy Laboratory DO - 10.15121/1806573 KW - tracer KW - groundwater KW - DNA KW - multi-well tracer test KW - groundwater tracing KW - artificial tracer KW - data KW - raw data KW - adsorption KW - reservoir tracer KW - artificial reservoir tracer KW - hydrogeology KW - hydrology KW - column transport KW - experiment KW - lab KW - laboratory KW - lab data LA - English DA - 2020/11/21 PY - 2020 PB - Stanford University T1 - EGS Collab Experiment 1: DNA tracer data on transport through porous media UR - https://doi.org/10.15121/1806573 ER -
Export Citation to RIS
Zhang, Yuran, et al. EGS Collab Experiment 1: DNA tracer data on transport through porous media. Stanford University, 21 November, 2020, GDR. https://doi.org/10.15121/1806573.
Zhang, Y., Hartung, M., Hawkins, A., Dekas, A., Li, K., & Horne, R. (2020). EGS Collab Experiment 1: DNA tracer data on transport through porous media. [Data set]. GDR. Stanford University. https://doi.org/10.15121/1806573
Zhang, Yuran, Marshall Hartung, Adam Hawkins, Anne Dekas, Kewen Li, and Roland Horne. EGS Collab Experiment 1: DNA tracer data on transport through porous media. Stanford University, November, 21, 2020. Distributed by GDR. https://doi.org/10.15121/1806573
@misc{OEDI_Dataset_8352, title = {EGS Collab Experiment 1: DNA tracer data on transport through porous media}, author = {Zhang, Yuran and Hartung, Marshall and Hawkins, Adam and Dekas, Anne and Li, Kewen and Horne, Roland}, abstractNote = {This submission contains DNA tracer data that supports the analysis and conclusions of the publication, "DNA tracer transport through porous media -The effect of DNA length and adsorption." https://doi.org/10.1029/2020WR028382. This experiment used DNA as an artificial reservoir tracer. Groundwater tracing is an effective way to identify fluid flow pathways and estimate hydrogeologic properties, which are important premises for building reliable hydrological models for transport predictions or contamination mitigations. The objective of this study was to understand the effect of DNA length (i.e., number of base pairs for dsDNA) and adsorption on DNA transport.}, url = {https://gdr.openei.org/submissions/1267}, year = {2020}, howpublished = {GDR, Stanford University, https://doi.org/10.15121/1806573}, note = {Accessed: 2025-05-04}, doi = {10.15121/1806573} }
https://dx.doi.org/10.15121/1806573

Details

Data from Nov 21, 2020

Last updated Feb 17, 2025

Submitted Jun 28, 2021

Organization

Stanford University

Contact

Yuran Zhang

650.666.5702

Authors

Yuran Zhang

Stanford University

Marshall Hartung

Stanford University

Adam Hawkins

Cornell University

Anne Dekas

Stanford University

Kewen Li

Stanford University

Roland Horne

Stanford University

Research Areas

DOE Project Details

Project Name EGS Collab

Project Lead Lauren Boyd

Project Number EE0032708

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