Ruisdael Observatory Data Catalog - User contributions [en]

WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo)

2026-02-05T14:07:14Z

Sjoerd Barten:

{{Dataset
|title=WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo)
|description=Since March 2025 ozone concentration and flux observations have been collected at Loobos, NL (52.166446 degN, 5.743575 degE). A fast Eddy-Correlation system measuring at 20 Hz has been installed at the top of the tower (38m), well above the forest canopy. Simultaneously, a slow Thermo Model 49C O3 Analyzer has been installed to measure ozone concentrations at a 1-minute interval. Both instruments are cross-calibrated.
|type=In-situ Observation
|dataLevel=Level 2
|format=csv
|servedBy=YODA
|landingPage=https://publication.yoda.wur.nl/full/WUR01/6UGU9F.html
|identifier=doi.org/10.17887/WUR01-6UGU9F
|license=CC BY 4.0
|contactPoint=Michiel van der Molen, Sjoerd Barten
|creator=Michiel van der Molen, Sjoerd Barten
|creator_organization=Wageningen University
|hasKeywords=Air Quality, Concentrations, Ecosystem, Fluxes, Forest, Loobos, Ozone
|atLocation=Loobos
|hasGeographicCoordinates=52.166446 N, 5.743575 E
|hasElevation=38m
|startDate=2025-03-01
|endDate=2025-12-31
}}
Since March 2025 ozone concentration and flux observations have been collected at Loobos, NL (52.166446 degN, 5.743575 degE). A fast Eddy-Correlation system measuring at 20 Hz has been installed at the top of the tower (38m), well above the forest canopy. Simultaneously, a slow Thermo Model 49C O3 Analyzer has been installed to measure ozone concentrations at a 1-minute interval. Both instruments are cross-calibrated.

Dataset underlying the publications:

Zhao, H., Dolman, H., Elbers, J., Jans, W., Kruijt, B., Moors, E., Snellen, H., Vila-Guerau de Arellano, J., Peters, W., Krol, M., Hutjes, R., and van der Molen, M.: The Loobos ecosystem first tower dataset: meteorology, turbulent fluxes and net ecosystem exchange (1996 to 2021), Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2025-372, in review, (2025).

Michiel K. van der Molen, Henk Snellen, Rupert Holzinger, Johannes G.M. Barten, Hong Zhao, Laurens Ganzeveld, Julie Fry, Wouter Peters, Maarten Krol, Jordi Vila-Guerau de Arrellano, Bart Kruijt: The ICOS Ecosystem Station Loobos: a pine forest site exposed to atmospheric pollution, submitted to Earth System Science Data (2026).

The file & folder structure is as follows:

Year

___ Month

______ NL-Loo_O3_yyyymmdd_F65.csv

______ NL-Loo_O3_yyyymmdd_L06_F62.csv

______ NL-Loo_O3_yyyymmdd_F63.csv

F65: 5-minute concentration data to perform the calibration

L06_F62: 30-minute ozone fluxes, without application of the calibration, the flux is given in m s-1

F63: Calibration of Fast Ozone Sensor (30 minute time base)

Contact information: observations.maq@wur.nl

WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo)

2026-02-05T14:06:59Z

Sjoerd Barten:

{{Dataset
|title=WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo)
|description=Since March 2025 ozone concentration and flux observations have been collected at Loobos, NL (52.166446 degN, 5.743575 degE). A fast Eddy-Correlation system measuring at 20 Hz has been installed at the top of the tower (38m), well above the forest canopy. Simultaneously, a slow Thermo Model 49C O3 Analyzer has been installed to measure ozone concentrations at a 1-minute interval. Both instruments are cross-calibrated.
|type=In-situ Observation
|dataLevel=Level 2
|format=csv
|landingPage=https://publication.yoda.wur.nl/full/WUR01/6UGU9F.html
|identifier=doi.org/10.17887/WUR01-6UGU9F
|license=CC BY 4.0
|contactPoint=Michiel van der Molen, Sjoerd Barten
|creator=Michiel van der Molen, Sjoerd Barten
|creator_organization=Wageningen University
|hasKeywords=Loobos, Ozone, Ecosystem, Forest, Fluxes, Concentrations, Air Quality
|atLocation=Loobos
|hasGeographicCoordinates=52.166446 N, 5.743575 E
|hasElevation=38m
|startDate=2025-03-01
|endDate=2025-12-31
}}
Since March 2025 ozone concentration and flux observations have been collected at Loobos, NL (52.166446 degN, 5.743575 degE). A fast Eddy-Correlation system measuring at 20 Hz has been installed at the top of the tower (38m), well above the forest canopy. Simultaneously, a slow Thermo Model 49C O3 Analyzer has been installed to measure ozone concentrations at a 1-minute interval. Both instruments are cross-calibrated.

Dataset underlying the publications:

Zhao, H., Dolman, H., Elbers, J., Jans, W., Kruijt, B., Moors, E., Snellen, H., Vila-Guerau de Arellano, J., Peters, W., Krol, M., Hutjes, R., and van der Molen, M.: The Loobos ecosystem first tower dataset: meteorology, turbulent fluxes and net ecosystem exchange (1996 to 2021), Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2025-372, in review, (2025).

Michiel K. van der Molen, Henk Snellen, Rupert Holzinger, Johannes G.M. Barten, Hong Zhao, Laurens Ganzeveld, Julie Fry, Wouter Peters, Maarten Krol, Jordi Vila-Guerau de Arrellano, Bart Kruijt: The ICOS Ecosystem Station Loobos: a pine forest site exposed to atmospheric pollution, submitted to Earth System Science Data (2026).

The file & folder structure is as follows:

Year

___ Month

______ NL-Loo_O3_yyyymmdd_F65.csv

______ NL-Loo_O3_yyyymmdd_L06_F62.csv

______ NL-Loo_O3_yyyymmdd_F63.csv

F65: 5-minute concentration data to perform the calibration

L06_F62: 30-minute ozone fluxes, without application of the calibration, the flux is given in m s-1

F63: Calibration of Fast Ozone Sensor (30 minute time base)

Contact information: observations.maq@wur.nl

WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo)

2026-02-05T14:05:17Z

Sjoerd Barten: Created page with "{{Dataset |title=WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo) |description=Since March 2025 ozone concentration and flux observations have been collected at Loobos, NL (52.166446 degN, 5.743575 degE). A fast Eddy-Correlation system measuring at 20 Hz has been installed at the top of the tower (38m), well above the forest canopy. Simultaneously, a slow Thermo Model 49C O3 Analyzer has been installed to measure ozone concentrations at a 1-minute interval. B..."

{{Dataset
|title=WUR Ozone concentration and fluxes (2025) at Loobos (NL-Loo)
|description=Since March 2025 ozone concentration and flux observations have been collected at Loobos, NL (52.166446 degN, 5.743575 degE). A fast Eddy-Correlation system measuring at 20 Hz has been installed at the top of the tower (38m), well above the forest canopy. Simultaneously, a slow Thermo Model 49C O3 Analyzer has been installed to measure ozone concentrations at a 1-minute interval. Both instruments are cross-calibrated.
|type=In-situ Observation
|dataLevel=Level 2
|format=csv
|landingPage=https://publication.yoda.wur.nl/full/WUR01/6UGU9F.html
|identifier=doi.org/10.17887/WUR01-6UGU9F
|license=CC BY 4.0
|contactPoint=Michiel van der Molen, Sjoerd Barten
|creator=Michiel van der Molen, Sjoerd Barten
|creator_organization=Wageningen University
|hasKeywords=Loobos, Ozone, Ecosystem, Forest, Fluxes, Concentrations, Air Quality
|atLocation=Loobos
|hasGeographicCoordinates=52.166446 N, 5.743575 E
|hasElevation=38m
|startDate=2025-03-01
|endDate=2025-12-31
}}
Since March 2025 ozone concentration and flux observations have been collected at Loobos, NL (52.166446 degN, 5.743575 degE). A fast Eddy-Correlation system measuring at 20 Hz has been installed at the top of the tower (38m), well above the forest canopy. Simultaneously, a slow Thermo Model 49C O3 Analyzer has been installed to measure ozone concentrations at a 1-minute interval. Both instruments are cross-calibrated.

Dataset underlying the publication:
Zhao, H., Dolman, H., Elbers, J., Jans, W., Kruijt, B., Moors, E., Snellen, H., Vila-Guerau de Arellano, J., Peters, W., Krol, M., Hutjes, R., and van der Molen, M.: The Loobos ecosystem first tower dataset: meteorology, turbulent fluxes and net ecosystem exchange (1996 to 2021), Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2025-372, in review, (2025).
Michiel K. van der Molen, Henk Snellen, Rupert Holzinger, Johannes G.M. Barten, Hong Zhao, Laurens Ganzeveld, Julie Fry, Wouter Peters, Maarten Krol, Jordi Vila-Guerau de Arrellano, Bart Kruijt: The ICOS Ecosystem Station Loobos: a pine forest site exposed to atmospheric pollution, submitted to Earth System Science Data (2026).

The file & folder structure is as follows:
Year
--- Month
------ NL-Loo_O3_yyyymmdd_F65.csv
------ NL-Loo_O3_yyyymmdd_L06_F62.csv
------ NL-Loo_O3_yyyymmdd_F63.csv

F65: 5-minute concentration data to perform the calibration
L06_F62: 30-minute ozone fluxes, without application of the calibration, the flux is given in m s-1
F63: Calibration of Fast Ozone Sensor (30 minute time base)

Contact information: observations.maq@wur.nl

YODA

2026-02-05T14:01:24Z

Sjoerd Barten: Created page with "{{DataService |name=YODA@WUR |creator_organization=Wageningen University |accessRights=public |landingPage=https://publication.yoda.wur.nl/ |contactPoint=WUR RDM support |mbox=data@wur.nl |documentation=https://publication.yoda.wur.nl/ }} Yoda is a data repository at Wageningen University and Research that is built by Utrecht University and hosted by SURF. Yoda can store and share all kinds of scientific research data in a safe way (encrypted, stored in multiple geo loca..."

{{DataService
|name=YODA@WUR
|creator_organization=Wageningen University
|accessRights=public
|landingPage=https://publication.yoda.wur.nl/
|contactPoint=WUR RDM support
|mbox=data@wur.nl
|documentation=https://publication.yoda.wur.nl/
}}
Yoda is a data repository at Wageningen University and Research that is built by Utrecht University and hosted by SURF. Yoda can store and share all kinds of scientific research data in a safe way (encrypted, stored in multiple geo locations). Yoda can publish research data and metadata as data packages, making them findable for different harvesters. Yoda, is an integrated digital environment that supports researchers through the complete research data cycle. Yoda is based on open source software iRODS. The most important aim of Yoda is to make the daily life of researchers easier as far as data management is concerned.