ICOS

ETC NRT AuxData from Hyltemossa

Download
2022-08-31–2023-06-19

Deprecated data

Next version(s): vYGrZJkBFucdJV3mKpJwZF9q
Latest version(s): qVC4jBp6ZkFy19m2EBxM2rxh
11676/gho0I0l1hE9_LBXjlohtuhwB (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 National Research Infrastructure ICOS Sweden (2019-00205) from Swedish Research Council
Heliasz, M., Kljun, N., Biermann, T., Holst, J., Holst, T., Kornacher, P., Molder, M. (2023). ETC NRT AuxData from Hyltemossa, 2022-08-31–2023-06-19, ICOS RI, https://hdl.handle.net/11676/gho0I0l1hE9_LBXjlohtuhwB
BibTex
@misc{https://hdl.handle.net/11676/gho0I0l1hE9_LBXjlohtuhwB,
  author={Heliasz, Michal and Kljun, Natascha and Biermann, Tobias and Holst, Jutta and Holst, Thomas and Kornacher, Peter and Molder, Meelis},
  title={ETC NRT AuxData from Hyltemossa, 2022-08-31–2023-06-19},
  year={2023},
  url={https://hdl.handle.net/11676/gho0I0l1hE9_LBXjlohtuhwB},
  publisher={Ecosystem Thematic Centre},
  copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
  pid={11676/gho0I0l1hE9_LBXjlohtuhwB}
}
RIS
TY - DATA
T1 - ETC NRT AuxData from Hyltemossa, 2022-08-31–2023-06-19
ID - 11676/gho0I0l1hE9_LBXjlohtuhwB
PY - 2023
UR - https://hdl.handle.net/11676/gho0I0l1hE9_LBXjlohtuhwB
PB - Ecosystem Thematic Centre
AU - Heliasz, Michal
AU - Kljun, Natascha
AU - Biermann, Tobias
AU - Holst, Jutta
AU - Holst, Thomas
AU - Kornacher, Peter
AU - Molder, Meelis
ER - 
ICOSETC_SE-Htm_AUXDATA_NRT.zip
View contents
				
File Size
Loading...
1 MB (1105581 bytes)
14017
1

Acquisition

2022-08-31 22:30:00
2023-06-19 23:00:00

Production

2023-06-20 06:11:02

Statistics

1

Submission

2023-06-20 04:11:05
2023-06-20 04:11:03

Technical information

821a34234975844f7f2c15e396886dba1c01b10d15abdf8b4ea2d9e559ec1152
gho0I0l1hE9/LBXjlohtuhwBsQ0Vq9+LTqLZ5VnsEVI