Articles | Volume 16, issue 12
https://doi.org/10.5194/essd-16-5563-2024
https://doi.org/10.5194/essd-16-5563-2024
Data description paper
 | 
05 Dec 2024
Data description paper |  | 05 Dec 2024

Gas exchange velocities (k600), gas exchange rates (K600), and hydraulic geometries for streams and rivers derived from the NEON Reaeration field and lab collection data product (DP1.20190.001)

Kelly S. Aho, Kaelin M. Cawley, Robert T. Hensley, Robert O. Hall Jr., Walter K. Dodds, and Keli J. Goodman

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Cited articles

Aho, K. S., Cawley, K., Hensley, R., Hall, R. O., Dodds, W., and Goodman, K.: Gas exchange velocities (k600), gas exchange rates (K600), and hydraulic geometries for streams and rivers derived from the NEON Reaeration field and lab collection data product (DP1.20190.001) ver 2, Environmental Data Initiative [data set], https://doi.org/10.6073/pasta/18dcc1871ee71cf0b69f2ee4082839d0, 2024. 
Appling, A. P., Hall, R. O., Yackulic, C. B., and Arroita, M.: Overcoming Equifinality: Leveraging Long Time Series for Stream Metabolism Estimation, J. Geophys. Res.-Biogeo., 123, 624–645, https://doi.org/10.1002/2017JG004140, 2018. 
Aristegi, L., Izagirre, O., and Elosegi, A.: Comparison of several methods to calculate reaeration in streams, and their effects on estimation of metabolism, Hydrobiologia, 635, 113–124, https://doi.org/10.1007/s10750-009-9904-8, 2009. 
Cawley, K., Aho, K. S., and Hall, R. O.: reaRate R package, NEONScience/NEON-reaeration: v0.0.2, Zenodo [code], https://doi.org/10.5281/zenodo.12786089, 2024. 
Churchill, M. A., Elmore, H. L., and Buckingham, R. A.: The Prediction of Stream Reaeration Rates, in: Advances in Water Pollution Research, Elsevier, 89–136, https://doi.org/10.1016/B978-1-4832-8391-3.50015-4, 1964. 
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Short summary
Gas exchange is fundamental to many biogeochemical processes in streams and depends on the degree of gas saturation and the gas transfer velocity (k). Currently, k is harder to measure than concentration. Here, we present a processing pipeline to estimate k from tracer-gas experiments conducted in 22 streams by the National Ecological Observatory Network. The processed dataset (n = 339) represents the largest compilation of standardized k estimates available.
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