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DC Flux - Diel CO2 Flux data from inland waters, 2016-2018

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Published by: Marine Institute
Category: Environment
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These data derive from an international sampling programme aimed at ascertaining the extent of diel variation in CO2 flux (FCO2) across multiple lakes. Sampling took place at 21 lakes, spanning 89° of latitude and 125° of longitude. Some lakes were sampled more than once, so the dataset comprises 41 sampling campaigns measuring FCO2 at circa 4-hour intervals over a full diel (24 hour) cycle. Floating chambers with in-situ CO2 sensors was deployed between November 2016 and October 2018. Rates of FCO2 ranged from -3.16 to 4.39 mmol m-2h-1. In addition to FCO2, this dataset contains lake and campaign metadata, including water temperatures and pCO2 of the surface water, meteorological data for each campaign from the nearest weather station and the calculated mixing depth (Zmix) and turbulent velocity scales for wind shear (u) and convection (w). This work is the result of an international team science effort facilitated by the Global Lake Ecological Observatory Network (GLEON). A paper describing these data in more detail, and the analysis of the results is in preparation (de Eyto et al in prep.)

Suggested Citation: de Eyto, Elvira; Smyth, Robyn L.; Pilla, Rachel M.; Laas, Alo; Shahabinia, Amir Reza; Baldocchi, Angela; Desai, Ankur R.; Lupon, Anna; Lohila, Annalea; Doyle, Brian; Obrador, Biel; Denfeld, Blaize A.; Carey, Cayelan C.; Reed, David; Bastviken, David; Rudberg, David; Rõõm, Eva-Ingrid; Clayer, Francois; Weyhenmeyer, Gesa A.; Chmiel, Hannah E.; Grossart, Hans Peter; de Wit, Heleen A.; Kokorite, Ilga; Rusak, James A.; Thrane, Jan-Erik; Bikse, Janis; Encinas Fernández, Jorge; Bezerra-Neto, José Fernandes; Brighenti, Ludmila S.; Koschorreck, Matthias; Aurela, Mika; Barros, Nathan; Keller, Philipp S.; Woolway, R. Iestyn; Marcé, Rafael; McClure, Ryan P.; Haverinen, Samuel; Juutinen, Sari; Kosten, Sarian; Sadro, Steve. (2025) DC Flux - Diel CO2 Flux data from inland waters, 2016-2018. Marine Institute, Ireland. doi: https://www.doi.org/10/pqcm .

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Theme Environment
Date released 2025-05-07
Date updated 2025-06-11
Dataset conforms to these standards See the referenced specification
Rights notes {"While every effort is made in preparing the dataset no responsibility is accepted by or on behalf of the Marine Institute for any errors, omissions or misleading information. The Marine Institute accepts no responsibility for loss or damage occasioned or claimed to have been occasioned, in part or in full, as a consequence of any person acting, or refraining from acting as a result of a matter contained in this datasets or as a consequence of using this dataset for any purpose whatsoever.","A Creative Commons (CC) license is one of several public copyright licenses that enable the free distribution of an otherwise copyrighted work. A CC license is used when an author wants to give people the right to share, use, and build upon a work that they have created. Under Creative Commons CC BY 4.0 the following is granted: Rights Share — copy and redistribute the material in any medium or format; Adapt — remix, transform, and build upon the material for any purpose, even commercially. The licensor cannot revoke these freedoms as long as you follow the license terms. Requirements Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.",CC%20BY%204.0}
Update frequency Other
Language English
Geographic coverage in GeoJSON format {"type":"Polygon","coordinates":[[[-89.4206, -19.7573],[-89.4206, 69.1387], [34.6784, 69.1387], [34.6784, -19.7573], [-89.4206, -19.7573]]]}
Spatial Reference Systems (SRS) WGS 84 (EPSG:4326)
Provenance information Data supplied by Marine Institute.
Period of time covered (begin) 2016-11-01
Period of time covered (end) 2018-10-31
High Value Dataset (HVD) No