Cargando…
In situ pelagic dataset from continuous monitoring: A mesocosm experiment in Lake Geneva (MESOLAC)
This dataset corresponds to a data series produced from automated data loggers during the MESOLAC experimental project. Nine pelagic mesocosms (about 3000 L, 3 m depth) were deployed in July 2019 in Lake Geneva near the shore of Thonon les Bains (France), simulating predicted climate scenarios (i.e....
Autores principales: | Tran-Khac, Viet, Quetin, Philippe, Domaizon, Isabelle, Jacquet, Stéphan, Espinat, Laurent, Gallot, Clémentine, Rasconi, Serena |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7481807/ https://www.ncbi.nlm.nih.gov/pubmed/32944606 http://dx.doi.org/10.1016/j.dib.2020.106255 |
Ejemplares similares
-
Physico-chemical dataset from an in situ mesocosm experiment simulating extreme climate events in Lake Geneva (MESOLAC)
por: Tran-Khac, Viet, et al.
Publicado: (2021) -
Physico-chemical and high frequency monitoring dataset from mesocosm experiments simulating extreme climate events in lakes
por: Tran-Khac, Viet, et al.
Publicado: (2023) -
Dataset from a mesocosm experiment on brownification in the Baltic Sea
por: Spilling, Kristian, et al.
Publicado: (2022) -
Congruence, but no cascade—Pelagic biodiversity across three trophic levels in Nordic lakes
por: Andersen, Tom, et al.
Publicado: (2020) -
Temperature increase and fluctuation induce phytoplankton biodiversity loss – Evidence from a multi‐seasonal mesocosm experiment
por: Rasconi, Serena, et al.
Publicado: (2017)