ETC NRT AuxData from Svartberget
2022-12-31–2023-09-23
Deprecated data
Latest version:
g3it6n5noYxlsHIEaDB90LDn
11676/kzjpCHymMiavLkGmXTSt3TNk (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
Peichl, M., Nilsson, M., Smith, P., Marklund, P., Lofvenius, P., Dignam, R., Holst, J., Molder, M., Kozii, N., Larmanou, E. (2023). ETC NRT AuxData from Svartberget, 2022-12-31–2023-09-23, ICOS RI, https://hdl.handle.net/11676/kzjpCHymMiavLkGmXTSt3TNk
BibTex
@misc{https://hdl.handle.net/11676/kzjpCHymMiavLkGmXTSt3TNk,
author={Peichl, Matthias and Nilsson, Mats and Smith, Paul and Marklund, Per and Lofvenius, Pernilla and Dignam, Rowan and Holst, Jutta and Molder, Meelis and Kozii, Nataliia and Larmanou, Eric},
title={ETC NRT AuxData from Svartberget, 2022-12-31–2023-09-23},
year={2023},
url={https://hdl.handle.net/11676/kzjpCHymMiavLkGmXTSt3TNk},
publisher={Ecosystem Thematic Centre},
copyright={http://meta.icos-cp.eu/ontologies/cpmeta/icosLicence},
pid={11676/kzjpCHymMiavLkGmXTSt3TNk}
}
RIS
TY - DATA T1 - ETC NRT AuxData from Svartberget, 2022-12-31–2023-09-23 ID - 11676/kzjpCHymMiavLkGmXTSt3TNk PY - 2023 UR - https://hdl.handle.net/11676/kzjpCHymMiavLkGmXTSt3TNk PB - Ecosystem Thematic Centre AU - Peichl, Matthias AU - Nilsson, Mats AU - Smith, Paul AU - Marklund, Per AU - Lofvenius, Pernilla AU - Dignam, Rowan AU - Holst, Jutta AU - Molder, Meelis AU - Kozii, Nataliia AU - Larmanou, Eric ER -
ICOSETC_SE-Svb_AUXDATA_NRT.zip
View contents
| File | Size | |
|---|---|---|
| Loading... |
966 KB (988783 bytes)
12769
1
Acquisition
2022-12-31 22:30:00
2023-09-23 23:00:00
Production
2023-09-24 07:23:21
Statistics
6
Technical information
9338e9087ca63226af2e41a65d34addd33643537b2646721964b91640e8ad567
kzjpCHymMiavLkGmXTSt3TNkNTeyZGchlkuRZA6K1Wc
ICOS