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Physico-chemical parameters measured at a high spatial resolution in the Miellajokka catchment, Sweden

SND-ID: snd1077-1. Version: 2. DOI: https://doi.org/10.5878/rtvm-yc23

Associated documentation

Citation

Creator/Principal investigator(s)

Gerard Rocher-Ros - Umeå University, Department of Ecology and Environmental Sciences

Research principal

Umeå University - Department of Ecology and Environmental Sciences rorId

Description

High spatial resolution dataset of CO2 evasion in a stream network in northern Sweden (52.5 km2; Miellajokka catchment). We measured key hydrological parameters to estimate k600, directly determined the pCO2, and estimated stream CO2 evasion across 168 sites in the stream network.

Comparison of pCO2 values from a global compilation of river chemistry (GLORICH; Hartmann et al., 2014) with calculated site-specific k600 and CO2 evasion.

Data contains personal data

No

Language

Method and outcome

Time period(s) investigated

2016-07-11 – 2016-07-20

Data format / data structure

Data collection
Geographic coverage

Geographic spread

Geographic location: Sweden, Kiruna Municipality

Geographic description: A stream network in northern Sweden (52.5 km2; Miellajokka catchment)

Administrative information

Responsible department/unit

Department of Ecology and Environmental Sciences

Topic and keywords

Research area

Earth and related environmental sciences (Standard för svensk indelning av forskningsämnen 2011)

Geosciences, multidisciplinary (Standard för svensk indelning av forskningsämnen 2011)

Natural sciences (Standard för svensk indelning av forskningsämnen 2011)

Oceanography, hydrology and water resources (Standard för svensk indelning av forskningsämnen 2011)

Biological sciences (Standard för svensk indelning av forskningsämnen 2011)

Climatology / meteorology / atmosphere (INSPIRE topic categories)

Environment (INSPIRE topic categories)

Keywords

Hydrology, Dissolved co2

Publications

Rocher-Ros, G., Sponseller, R. A., Lidberg, W., Mörth, C.-M., & Giesler, R. (n.d.). Landscape process domains drive patterns of CO2 evasion from river networks. In Limnology and Oceanography Letters (Vol. 4, Issue 4, pp. 87–95). https://doi.org/10.1002/lol2.10108
URN: urn:nbn:se:umu:diva-158874
DOI: https://doi.org/10.1002/lol2.10108
SwePub: oai:DiVA.org:umu-158874

If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.

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Versions

Version 2. 2024-01-31

Version 2: 2024-01-31

DOI: https://doi.org/10.5878/rtvm-yc23

Data merged: Data has been merged with data from "Physico-chemical parameters measured at a high spatial resolution in the Miellajokka catchment, Sweden - Paired values of CO2 and k600 from the GLORICH database" (version 1,https://doi.org/10.5878/77ps-4f21)

Version 1.0. 2018-12-20

Version 1.0: 2018-12-20

DOI: https://doi.org/10.5878/pxa2-vy55

Contact for questions about the data

Gerard Rocher-Ros

g.rocher.ros@gmail.com

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Published: 2024-01-31