ICOS

ETC NRT AuxData, Vielsalm

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2024-10-20–2025-02-12

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Next version(s): 6fFWOl9m6lK4c2Zkk0yIrCxb
Latest version(s): 6kvHC_VZ4cX0rEwYUz78r3ra
11676/DcnZJJPufO3-x3l7wDmKp3jg (link)

Automatically-produced, daily-growing (by data object deprecation) half-hourly specific diagnostic and derived variables needed to evaluate the correct functioning of the sensors, in particular the EC system. The data starts from the last respective L2 release.

Work was funded by grant ICOS-2 : Integrated Carbon Observation System-Research Infrastructure (ICOS-RI) from Service Public de Wallonie - Agriculture, Ressources Naturelles, Environnement
Vincke, C., Bogaerts, G., Chopin, H., Demoulin, L., Faurès, A., Heinesch, B., Manise, T., Orgun, A. (2025). ETC NRT AuxData, Vielsalm, 2024-10-20–2025-02-12, ICOS RI, https://hdl.handle.net/11676/DcnZJJPufO3-x3l7wDmKp3jg
BibTex
@misc{https://hdl.handle.net/11676/DcnZJJPufO3-x3l7wDmKp3jg,
  author={Vincke, Caroline and Bogaerts, Gaëtan and Chopin, Henri and Demoulin, Loïc and Faurès, Ariane and Heinesch, Bernard and Manise, Tanguy and Orgun, Ayche},
  title={ETC NRT AuxData, Vielsalm, 2024-10-20–2025-02-12},
  year={2025},
  url={https://hdl.handle.net/11676/DcnZJJPufO3-x3l7wDmKp3jg},
  publisher={Ecosystem Thematic Centre},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/DcnZJJPufO3-x3l7wDmKp3jg}
}
RIS
TY - DATA
T1 - ETC NRT AuxData, Vielsalm, 2024-10-20–2025-02-12
ID - 11676/DcnZJJPufO3-x3l7wDmKp3jg
PY - 2025
UR - https://hdl.handle.net/11676/DcnZJJPufO3-x3l7wDmKp3jg
PB - Ecosystem Thematic Centre
AU - Vincke, Caroline
AU - Bogaerts, Gaëtan
AU - Chopin, Henri
AU - Demoulin, Loïc
AU - Faurès, Ariane
AU - Heinesch, Bernard
AU - Manise, Tanguy
AU - Orgun, Ayche
ER - 
ICOSETC_BE-Vie_AUXDATA_NRT.zip
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Acquisition

2024-10-20 22:30:00
2025-02-12 23:00:00

Production

2025-02-13 07:56:57

Statistics

1

Submission

2025-02-13 06:56:59
2025-02-13 06:56:57

Technical information

0dc9d92493ee7cedfec7797bc0398aa778e077ac640eca08acc86350f1e12e95
DcnZJJPufO3+x3l7wDmKp3jgd6xkDsoIrMhjUPHhLpU