Ruisdael Observatory Data Catalog - User contributions [en]

Uli Dusek

2026-04-24T06:39:02Z

Marc Schleiss:

{{Person
|name=Uli Dusek
}}
Uli Dusek RUG Groningen

Jan Mulder

2026-04-24T06:37:35Z

Marc Schleiss: Created page with "{{Person |name=Jan Mulder |affiliation=University of Groningen }}"

{{Person
|name=Jan Mulder
|affiliation=University of Groningen
}}

ACTRIS-EARLINET aerosol optical property profiles over CBW Cabauw - Netherlands

2026-04-14T12:00:21Z

Marc Schleiss:

{{Dataset
|title=ACTRIS-EARLINET aerosol optical property profiles over CBW Cabauw - Netherlands
|description=This dataset collects all the aerosol optical property profiles at the aerosol remote sensing CBW station (Cabauw - Netherlands). This dataset is incremental: data collected are added as soon as a new observation is collected and added to the ACTRIS/EARLINET database.

Variables: Attenuated backscatter profile; Volume depolarization profile, Particle backscatter coefficient profile, Particle extinction coefficient profile, Lidar ratio profile, Ångström exponent profile, Backscatter-related Ångström exponent profile, Particle depolarization ratio profile.
|type=Remote Sensing Observation
|format=netCDF
|servedBy=ACTRIS EARLINET
|landingPage=https://data.earlinet.org/earlinet/
|identifier=https://doi.org/10.57837/CNR-IMAA/ARES/ACTRIS-EARLINET/2024/CBW/AEROSOL_OPTICAL_PROPERTY_PROFILES
|license=CC BY 4.0
|contactPoint=Arnoud Apituley
|creator=Arnoud Apituley
|creator_organization=KNMI
|atLocation=Cabauw
|hasGeographicCoordinates=51.97000122 N, 4.929999828 E
|hasElevation=188
|startDate=2024-06-07
|endDate=2030-01-01
}}

ACTRIS EARLINET

2026-04-14T11:59:17Z

Marc Schleiss: Created page with "{{DataService |name=ACTRIS EARLINET |creator_organization=ACTRIS |accessRights=public |landingPage=https://data.earlinet.org/earlinet/ }}"

{{DataService
|name=ACTRIS EARLINET
|creator_organization=ACTRIS
|accessRights=public
|landingPage=https://data.earlinet.org/earlinet/
}}

TU Delft Micro Rain Radar MRR003 at Westmaas

2026-04-14T11:57:15Z

Marc Schleiss:

{{Dataset
|title=TU Delft Micro Rain Radar at Westmaas (MRR003)
|description=Dataset containing hourly data files provided by Ruisdael Observatory's Metek Micro Rain Radar (SN 0513108314) placed at Westmaas. Time interval of measurements is 10 seconds and the range resolution is preferred to be set to 35 meters.
|type=Remote Sensing Observation
|format=netCDF
|servedBy=KNMI Data Platform, TU-Delft Project Drive
|landingPage=https://dataplatform.knmi.nl/dataset/ruisdael-mrr-westmaas-1
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|atLocation=Westmaas
|hasGeographicCoordinates=51.786569 N, 4.450449 E
|hasElevation=3
|startDate=2021-02-23
|endDate=2030-01-01
|Elevation=3
|hasStatus=public
|hasImage=PAR004 Westmaas 20230526.JPG
|hasInstitute=TU Delft
}}
[https://ruisdael-wiki.citg.tudelft.nl/index.php?title=MRR003 MRR003]

File:PAR004 Westmaas 20230526.JPG

2026-04-14T11:56:25Z

Marc Schleiss:

{{FileDescription
|pertainsToDataset=TU Delft optical disdrometer Parsivel² PAR004 at Westmaas, TU Delft Micro Rain Radar MRR003 at Westmaas
|pertainsToOrganization=TU Delft
|Date=2023-05-26
|hasDescription=PAR004 Disdrometer at Westmaas, May 26, 2023
}}
== Summary ==
PAR004 Disdrometer at Westmaas, taken on May 26, 2023

File:PAR005 DeZweth 20241213.jpg

2026-04-14T11:55:56Z

Marc Schleiss:

{{FileDescription
|pertainsToDataset=TU Delft optical disdrometer Parsivel² PAR005 at De Zweth, TU Delft Micro Rain Radar MRR006 at De Zweth
|pertainsToOrganization=TU Delft
|Date=2024-02-13
|hasDescription=PAR005 Disdrometer at De Zweth, February 13, 2024
}}
== Summary ==
PAR005 Disdrometer at De Zweth, February 13, 2024

TU Delft optical disdrometer Parsivel² PAR005 at De Zweth

2026-04-14T11:55:31Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at De Zweth (PAR005)
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR005_DeZweth" in De Zweth, The Netherlands. Situated approximately 7 km to the North West of Rotterdam, and 4 km South East of Delft campus, De Zweth is a small town along the Schie river, at the intersection of the historical areas of Delfland and Schieland. The disdrometer is placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR005_DeZweth/catalog.html
|identifier=https://doi.org/10.4121/1d7b8042-e8f9-4768-9a13-c6bac5832f2a.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Rain, Raindrop size distribution, Parsivel, Disdrometer
|atLocation=De Zweth
|hasGeographicCoordinates=51.964374 N, 4.394592 E
|hasElevation=3
|hasImage=PAR005 DeZweth 20241213.jpg
|startDate=2022-02-22
|endDate=2030-01-01
}}
'''Note:''' "PAR005_DeZweth" is next to a vertically profiling micro-rain radar named "MRR006_DeZweth" and a Davis vantage pro weather station named "Davis002_DeZweth". This co-location can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:''' The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

File:PAR005 DeZweth 20241213.jpg

2026-04-14T11:54:56Z

Marc Schleiss:

{{FileDescription
|pertainsToDataset=TU Delft optical disdrometer Parsivel² PAR005 at De Zweth
|pertainsToOrganization=TU Delft
|Date=2024-02-13
|hasDescription=PAR005 Disdrometer at De Zweth, February 13, 2024
}}
== Summary ==
PAR005 Disdrometer at De Zweth, February 13, 2024

File:PAR005 DeZweth 20241213.jpg

2026-04-14T11:54:01Z

Marc Schleiss: PAR005 Disdrometer at De Zweth, February 13, 2024

== Summary ==
PAR005 Disdrometer at De Zweth, February 13, 2024

TU Delft optical disdrometer Parsivel² PAR005 at De Zweth

2026-04-14T11:47:26Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at De Zweth (PAR005)
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR005_DeZweth" in De Zweth, The Netherlands. Situated approximately 7 km to the North West of Rotterdam, and 4 km South East of Delft campus, De Zweth is a small town along the Schie river, at the intersection of the historical areas of Delfland and Schieland. The disdrometer is placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR005_DeZweth/catalog.html
|identifier=https://doi.org/10.4121/1d7b8042-e8f9-4768-9a13-c6bac5832f2a.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Rain, Raindrop size distribution, Parsivel, Disdrometer
|atLocation=De Zweth
|hasGeographicCoordinates=51.964374 N, 4.394592 E
|hasElevation=3
|startDate=2022-02-22
|endDate=2030-01-01
}}
'''Note:''' "PAR005_DeZweth" is next to a vertically profiling micro-rain radar named "MRR006_DeZweth" and a Davis vantage pro weather station named "Davis002_DeZweth". This co-location can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:''' The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR004 at Westmaas

2026-04-14T09:59:22Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Westmaas (PAR004)
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR004_Westmaas", placed at Westmaas, approximately 15 km south of the city centre of Rotterdam. The disdrometer is placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters, approximately 1.5 km to the West of the village of Westmaas, in a predominantly flat and rural area.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR004_Westmaas/catalog.html
|identifier=https://doi.org/10.4121/4e43e6dd-04ef-45d2-a05b-e36b752c2b5f.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Rain, Raindrop size distribution, Parsivel, Disdrometer
|atLocation=Westmaas
|hasGeographicCoordinates=51.786575 N, 4.450451 E
|hasElevation=3
|hasImage=PAR004 Westmaas 20230526.JPG
|startDate=2021-11-26
|endDate=2030-01-01
}}
'''Note:''' "PAR004_Westmaas" is co-located with a vertically profiling micro-rain radar named "MRR003_Westmaas". The site also features a Davis vantage Pro weather station named "Davis003_Westmaas". The co-location can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:''' The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

File:PAR004 Westmaas 20230526.JPG

2026-04-14T09:59:01Z

Marc Schleiss:

{{FileDescription
|pertainsToDataset=TU Delft optical disdrometer Parsivel² PAR004 at Westmaas
|pertainsToOrganization=TU Delft
|Date=2023-05-26
|hasDescription=PAR004 Disdrometer at Westmaas, May 26, 2023
}}
== Summary ==
PAR004 Disdrometer at Westmaas, taken on May 26, 2023

File:PAR004 Westmaas 20230526.JPG

2026-04-14T09:58:20Z

Marc Schleiss: PAR004 Disdrometer at Westmaas, taken on May 26, 2023

== Summary ==
PAR004 Disdrometer at Westmaas, taken on May 26, 2023

TU Delft optical disdrometer Parsivel² PAR004 at Westmaas

2026-04-14T09:56:34Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Westmaas (PAR004)
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR004_Westmaas", placed at Westmaas, approximately 15 km south of the city centre of Rotterdam. The disdrometer is placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters, approximately 1.5 km to the West of the village of Westmaas, in a predominantly flat and rural area.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR004_Westmaas/catalog.html
|identifier=https://doi.org/10.4121/4e43e6dd-04ef-45d2-a05b-e36b752c2b5f.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Rain, Raindrop size distribution, Parsivel, Disdrometer
|atLocation=Westmaas
|hasGeographicCoordinates=51.786575 N, 4.450451 E
|hasElevation=3
|startDate=2021-11-26
|endDate=2030-01-01
}}
'''Note:''' "PAR004_Westmaas" is co-located with a vertically profiling micro-rain radar named "MRR003_Westmaas". The site also features a Davis vantage Pro weather station named "Davis003_Westmaas". The co-location can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:''' The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR003 at Green Village

2026-04-14T09:53:39Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer PAR003 at Green Village Delft
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR003_Green_Village", placed at the Green Village in Delft, The Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR003_Green_Village/catalog.html
|identifier=https://doi.org/10.4121/2cb749ca-efcd-4774-b6e9-7988bf8fa28d.v1
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Disdrometer, Parsivel, Precipitation, Rain, Raindrop size distribution
|atLocation=Green Village Delft
|hasGeographicCoordinates=51.996071 N, 4.3787 E
|hasElevation=1
|hasImage=PAR003 Green Village 20230510.jpg
|startDate=2021-01-31
|endDate=2030-01-01
}}
'''Note:''' The Green Village site is different from the other Ruisdael sites. Its primary purpose is to allow researchers to test sensors, perform calibration and develop new hardware/software solutions. The Green Village also serves as a temporary home basis for all the mobile sensors used during field campaigns. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns.

"PAR003_Green_Village" is part of the mobile station of TU Delft. When not used for field campaigns, the sensor is located at Green Village. It is co-located with another OTT Parsivel2 disdrometer named "PAR008_Green_Village" as well as a vertically pointing micro-rain radar named "MRR001_Green_Village". The site also features another optical disdrometer of a different brand (Thies Clima) named "Thies006_Green_Village" and a Davis vantage pro weather station named "Davis_GV". The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:''' Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

File:PAR003 Green Village 20230510.jpg

2026-04-14T09:53:05Z

Marc Schleiss:

{{FileDescription
|pertainsToDataset=TU Delft optical disdrometer Parsivel² PAR003 at Green Village
|pertainsToOrganization=TU Delft
|Date=2023-05-10
|hasDescription=PAR003 Disdrometer at Green Village, May 10 2023
}}
== Summary ==
PAR003 Disdrometer at Green Village Delft, taken on May 10 2023

File:PAR003 Green Village 20230510.jpg

2026-04-14T09:52:20Z

Marc Schleiss: PAR003 Disdrometer at Green Village Delft, taken on May 10 2023

== Summary ==
PAR003 Disdrometer at Green Village Delft, taken on May 10 2023

TU Delft optical disdrometer Parsivel² PAR003 at Green Village

2026-04-14T09:48:47Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer PAR003 at Green Village Delft
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR003_Green_Village", placed at the Green Village in Delft, The Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR003_Green_Village/catalog.html
|identifier=https://doi.org/10.4121/2cb749ca-efcd-4774-b6e9-7988bf8fa28d.v1
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Disdrometer, Parsivel, Precipitation, Rain, Raindrop size distribution
|atLocation=Green Village Delft
|hasGeographicCoordinates=51.996071 N, 4.3787 E
|hasElevation=1
|startDate=2021-01-31
|endDate=2030-01-01
}}
'''Note:''' The Green Village site is different from the other Ruisdael sites. Its primary purpose is to allow researchers to test sensors, perform calibration and develop new hardware/software solutions. The Green Village also serves as a temporary home basis for all the mobile sensors used during field campaigns. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns.

"PAR003_Green_Village" is part of the mobile station of TU Delft. When not used for field campaigns, the sensor is located at Green Village. It is co-located with another OTT Parsivel2 disdrometer named "PAR008_Green_Village" as well as a vertically pointing micro-rain radar named "MRR001_Green_Village". The site also features another optical disdrometer of a different brand (Thies Clima) named "Thies006_Green_Village" and a Davis vantage pro weather station named "Davis_GV". The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:''' Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR003 at Green Village

2026-04-14T09:47:29Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer PAR003 at Green Village Delft
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR003_Green_Village", placed at the Green Village in Delft, The Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR003_Green_Village/catalog.html
|identifier=https://doi.org/10.4121/2cb749ca-efcd-4774-b6e9-7988bf8fa28d.v1
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Rain, Disdrometer, Raindrop size distribution, Parsivel
|atLocation=Green Village Delft
|hasGeographicCoordinates=51.996071 N, 4.3787 E
|hasElevation=1
|startDate=2021-01-31
|endDate=2030-01-01
}}
'''Note:''' The Green Village site is different from the other Ruisdael sites. Its primary purpose is to allow researchers to test sensors, perform calibration and develop new hardware/software solutions. The Green Village also serves as a temporary home basis for all the mobile sensors used during field campaigns. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns.

"PAR003_Green_Village" is co-located with another OTT Parsivel2 disdrometer named "PAR008_Green_Village" as well as a vertically pointing micro-rain radar named "MRR001_Green_Village". The site also features another optical disdrometer of a different brand (Thies Clima) named "Thies006_Green_Village" and a Davis vantage pro weather station named "Davis_GV". The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:''' Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR003 (mobile)

2026-04-14T09:44:22Z

Marc Schleiss: Marc Schleiss moved page TU Delft optical disdrometer Parsivel² PAR003 (mobile) to TU Delft optical disdrometer Parsivel² PAR003 at Green Village: Harmonize dataset names

#REDIRECT [[TU Delft optical disdrometer Parsivel² PAR003 at Green Village]]

TU Delft optical disdrometer Parsivel² PAR003 at Green Village

2026-04-14T09:44:22Z

Marc Schleiss: Marc Schleiss moved page TU Delft optical disdrometer Parsivel² PAR003 (mobile) to TU Delft optical disdrometer Parsivel² PAR003 at Green Village: Harmonize dataset names

{{Dataset
|title=TU Delft Parsivel² disdrometer PAR003 at Green Village Delft
|description=In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR003" at the Green Village site in Delft. Note that the Green Village site is different from the other Ruisdael sites. Its primary purpose is to allow researchers to test sensors, perform calibration and develop new hardware/software solutions. The Green Village also serves as a temporary home basis for all the mobile sensors used during field campaigns. Due to the special nature of this site, data quality, reliability and availability may be lower than at other locations. There are also some nearby obstacles such as trees and fences which may affect the accuracy of the precipitation measurements depending on local wind patterns.
|type=In-situ Observation
|format=netCDF
|servedBy=4TU.ResearchData
|landingPage=10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5
|identifier=10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|atLocation=Green Village Delft
|hasGeographicCoordinates=51.996071 N, 4.3787 E
|hasElevation=1
|startDate=2022-12-04
|endDate=2030-01-01
}}
'''Note:''' PAR003 belongs to the mobile observation station of TU Delft. By default, the sensor is placed at the Green Village in Delft, from where it contributes data to the Rotterdam Atmospheric Measurement Network (RAMN). However, PAR003 regularly participates in measurement campaigns and frequently changes location. Its data record therefore contains several large gaps.

TU Delft optical disdrometer Parsivel² PAR003 at Green Village

2026-04-14T09:42:24Z

Marc Schleiss:

TU Delft optical disdrometer Parsivel² PAR002 at Cabauw

2026-04-14T09:40:42Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR002)
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR002_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR002_Cabauw/catalog.html
|identifier=https://doi.org/10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Rain, Raindrop size distribution, Parsivel, Disdrometer, Cabauw
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|hasImage=PAR002 Cabauw 20241129.jpg
|startDate=2021-10-28
|endDate=2030-01-01
}}
'''Note:''' "PAR002_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR001_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:'''

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

File:PAR002 Cabauw 20241129.jpg

2026-04-14T09:40:06Z

Marc Schleiss:

{{FileDescription
|pertainsToDataset=TU Delft optical disdrometer Parsivel² PAR002 at Cabauw
|pertainsToOrganization=TU Delft
|Date=2024-11-29
|hasDescription=PAR002 Disdrometer at Cabauw, November 29, 2024
}}
== Summary ==
PAR002 Disdrometer at Remote Sensing Site of Cabauw, taken on November 29, 2024

File:PAR002 Cabauw 20241129.jpg

2026-04-14T09:39:28Z

Marc Schleiss: PAR002 Disdrometer at Remote Sensing Site of Cabauw, taken on November 29, 2024

== Summary ==
PAR002 Disdrometer at Remote Sensing Site of Cabauw, taken on November 29, 2024

TU Delft optical disdrometer Parsivel² PAR002 at Cabauw

2026-04-14T09:37:00Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR002)
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR002_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR002_Cabauw/catalog.html
|identifier=https://doi.org/10.4121/0d1f7130-6e0e-48cd-b384-348edcd890da.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Rain, Raindrop size distribution, Parsivel, Disdrometer, Cabauw
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|startDate=2021-10-28
|endDate=2030-01-01
}}
'''Note:''' "PAR002_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR001_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:'''

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR001 at Cabauw

2026-04-14T09:33:34Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR001)
|description='''Description:''' In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR001_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

'''List of variables:'''

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR001_Cabauw/catalog.html
|identifier=https://doi.org/10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Cabauw, Disdrometer, Parsivel, Precipitation, Rain, Raindrop size distribution
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|startDate=2021-10-01
|endDate=2030-01-01
|hasImage=PAR001 Cabauw 20241129.jpg
}}
'''Note:''' "PAR001_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR002_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:'''
------------

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR001 at Cabauw

2026-04-14T09:32:32Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR001)
|description=In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR001_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

List of variables:

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR001_Cabauw/catalog.html
|identifier=https://doi.org/10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Cabauw, Disdrometer, Parsivel, Precipitation, Rain, Raindrop size distribution
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|hasImage=PAR001 Cabauw 20241129.jpg
|startDate=2021-10-01
|endDate=2030-01-01
}}
'''Note:''' "PAR001_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR002_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:'''
------------

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

File:PAR001 Cabauw 20241129.jpg

2026-04-14T09:30:42Z

Marc Schleiss:

{{FileDescription
|pertainsToDataset=TU Delft optical disdrometer Parsivel² PAR001 at Cabauw
|pertainsToOrganization=TU Delft
|Date=2024-11-29
|hasDescription=Parsivel 1 in Cabauw, 29 November 2024
}}
== Summary ==
Parsivel 1 at Remote Sensing site of Cabauw, 29 November 2024

File:PAR001 Cabauw 20241129.jpg

2026-04-14T09:29:53Z

Marc Schleiss: Parsivel 1 at Remote Sensing site of Cabauw, 29 November 2024

== Summary ==
Parsivel 1 at Remote Sensing site of Cabauw, 29 November 2024

TU Delft optical disdrometer Parsivel² PAR001 at Cabauw

2026-04-14T09:25:15Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR001)
|description=In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR001_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

List of variables:

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR001_Cabauw/catalog.html
|identifier=https://doi.org/10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Cabauw, Disdrometer, Parsivel, Precipitation, Rain, Raindrop size distribution
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|startDate=2021-10-01
|endDate=2030-01-01
}}
'''Note:''' "PAR001_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR002_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

'''Known issues:'''
------------

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR001 at Cabauw

2026-04-14T09:24:29Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR001)
|description=In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR001_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

List of variables:

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR001_Cabauw/catalog.html
|identifier=https://doi.org/10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Cabauw, Disdrometer, Parsivel, Precipitation, Rain, Raindrop size distribution
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|startDate=2021-10-01
|endDate=2030-01-01
}}
Note: "PAR001_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR002_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

Known issues
------------

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR001 at Cabauw

2026-04-14T09:23:49Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR001)
|description=In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR001_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

List of variables:

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://opendap.4tu.nl/thredds/catalog/data2/Ruisdael/continuous_monitoring/optical_disdrometer/ott_parsivel2/PAR001_Cabauw/catalog.html
|identifier=https://doi.org/10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec.v4
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|hasKeywords=DSD, Precipitation, Raindrop size distribution, Disdrometer, Rain, Cabauw, Parsivel
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|startDate=2021-10-01
|endDate=2030-01-01
}}
"PAR001_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR002_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

Known issues
------------

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR001 at Cabauw

2026-04-14T09:21:21Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR001)
|description=In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR001_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

List of variables:

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://cloudnet.fmi.fi/instrument/c55b141f-9942-4547-b36d-a2b3a869d748
|identifier=10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|startDate=2021-10-01
|endDate=2030-01-01
}}
"PAR001_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR002_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

Known issues
------------

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

TU Delft optical disdrometer Parsivel² PAR001 at Cabauw

2026-04-14T09:21:01Z

Marc Schleiss:

{{Dataset
|title=TU Delft Parsivel² disdrometer at Cabauw (PAR001)
|description=In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by a Parsivel2 optical disdrometer named "PAR001_Cabauw", placed at the remote sensing site in Cabauw in the Netherlands.

This dataset is part of a larger collection of datasets published by the Dept. of Geoscience and Remote Sensing (GRS) at TU Delft within the framework of the Ruisdael Observatory (https://ruisdael-observatory.nl/).

The Parsivel2 optical disdrometer, manufactured by OTT Hydromet, is a widely used precipitation sensor which measures the size and velocity of raindrops as they pass through a horizontal laser beam. These measurements are aggregated over fixed intervals (typically 60 seconds) to produce a matrix of drop counts across 32 size and velocity classes, which is then used to approximate the raindrop size distribution (DSD) per unit volume of air. At the Ruisdael observatory, all Parsivel2 disdrometers are operated with a temporal sampling resolution of 60 seconds.

List of variables:

* latitude, longitude and altitude of measurement site

* time (in UTC), both in numeric and text format

* rainfall intensity

* weather codes (synop 4677, synop 4680, metar 4678, NWS)

* meteorological optical range in precipitation

* radar reflectivity

* number of hydrometeors per minute at the surface, grouped according to 32 diameter and 32 velocity classes

* number concentrations of raindrop sizes (for 32 diameter classes), per unit volume of air

* total number of detected hydrometeors per minute

* kinetic energy of hydrometeors

* laser amplitude and laser status

* internal temperature of sensor
|type=In-situ Observation
|dataLevel=Level 0
|format=netCDF
|servedBy=Cloudnet, 4TU.ResearchData
|landingPage=https://cloudnet.fmi.fi/instrument/c55b141f-9942-4547-b36d-a2b3a869d748
|identifier=10.4121/7f3cbf43-c2a2-4db4-8a55-d5ca0ee3abec
|license=CC BY 4.0
|contactPoint=Marc Schleiss
|creator=Marc Schleiss
|creator_organization=TU Delft
|atLocation=Cabauw
|hasGeographicCoordinates=51.968317 N, 4.929234 E
|hasElevation=1
|startDate=2021-10-01
|endDate=2030-01-01
}}
"PAR001_Cabauw" is next to another identical OTT Parsivel2 disdrometer named "PAR002_Cabauw". The Cabauw site also features two other optical disdrometers of a different brand (Thies Clima) named "Thies001_Cabauw" and "Thies005_Cabauw", as well as a third OTT Parsivel2 disdrometer named "PAR007_Cabauw_Tower" in the Cabauw tower at a height of 180 meters. The large number of co-located sensors can be used to cross-check data, apply quality control and/or assess measurement uncertainty due to sensor calibration, random sampling effects and environmental effects such as wind speed/direction which are known to substantially affect the accuracy of optical disdrometers.

Known issues
------------

Please note: The temperature readings from the Parsivel2 do not represent actual air temperatures. These sensors are intended primarily to monitor internal conditions near the sensor heads and circuit board. Their accuracy tends to degrade over time, and in some cases the sensors may become faulty, producing unrealistically large temperature values.

Main Page

2025-10-02T14:31:44Z

Marc Schleiss: /* Useful Resources */

[[File:schema-ruisdael-data-catalog.png|600px]]

= Purpose of the Ruisdael data catalog =

Within Ruisdael, data are stored and distributed through various national and international platforms, such as the KNMI Data Platform (KDP), the ACTRIS CloudNet Portal, 4TU Research Data, MAQ Observations, and the Integrated Carbon Observation System ICOS-portal. The Ruisdael data catalog provides a central, comprehensive overview of all available datasets. The catalog allows to:
* Index and describe datasets produced by the Ruisdael Observatory, independently of where they are stored or published.
* Find out where datasets are published/stored, via [[Property:servedBy]].
* Identify the point of contact for each dataset, especially for unpublished datasets, via [[Property:contactPoint]].
* Describe special measurement campaigns, model simulations and the datasets associated with them.

'''Note:''' the Ruisdael data catalog is not meant to index software. The latter can be published and accessed via the Ruisdael GitHub page: https://github.com/ruisdael-observatory

= How does it work? =

The catalog is set up as a collaborative editing content management system (i.e., a Wiki). Everyone can read the Wiki and search the catalog. Registered users can add datasets, edit pages and access more advanced functions.

'''New accounts can be requested via [https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues/new?template=WikiAccount.yml Github issues]''' or by sending an email to Marc Schleiss M.A.Schleiss@tudelft.nl

= Suggestions and Issues =

Please use the link below to report technical issues or make suggestions for improvement.

'''[https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues GitHub Ruisdael Data Catalog project]'''

If you do not have a GitHub account, you can send an email to M.A.Schleiss@tudelft.nl or to J.DiasNeto@tudelft.nl

= Useful Resources =

* The '''[[Help:What is a Dataset]]''' contains information on what is/isn't a dataset.
* The '''[[Help:Best Practices]]''' provides general guidelines for how to enter and describe datasets in the catalog.
* The '''[[Help:Catalog editing]]''' contains information on how to edit and add content to the Wiki.
* The ''' [[Help:data level]] ''' describes the data maturity levels proposed by ICOS.
* The '''[[Help:Data Catalog Schema]]''' describes the categories, properties, forms and templates used by the catalog.
* The '''[[Help:Frequently Asked Questions]]''' answers the most common questions.
* '''[[Help:Wiki administration]]''' includes information on how to maintain this Wiki (for admins only)

=Ruisdael [[:Category:Dataset|Datasets]]=

'''Create Dataset page with [[Form:Dataset]]'''

'''{{#queryformlink:form=DatasetSearch|link text=Search Datasets}}'''

'''See Datasets on [[Datasets Map]] '''

{{#ask: [[Category:Dataset]]
|?=Dataset |+width=38%
|?type |+width=10%
|?creator_organization=owner |+width=10%
|?servedBy |+width=10%
|?atLocation |+width=10%
|?hasGeographicCoordinates |+width=10%
|?startDate |+width=12%
|format=datatables
|limit=200
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=-
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:DataService|Data Services]]=

'''Create new DataService page with [[Form:DataService]]'''

{{#ask: [[Category:DataService]]
|?accessRights
|?-servedBy=serves dataset
|format=datatables
|mainlabel=Data Service
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:Campaign|Campaigns]]=

'''Create new Campaign page with [[Form:Campaign]]'''

{{#ask: [[Category:Campaign]]
|?atLocation
|?hasGeographicCoordinates
|?startDate
|?endDate
|?contributesTo=contributes to dataset
|?hasParticipant
|format=datatables
|mainlabel=title
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Partner [[:Category:Organization|Organizations]]=

'''Create new Organization page with [[Form:Organization]]'''

{{#ask:[[Category:Organization]]
|?isRuisdaelConsortiumPartner
|?Foaf:name
|?contactPoint
|?identifier
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Institute
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Staff ([[:Category:Foaf:Person|Person]])=

'''Create new Person page with [[Form:Person]]'''

{{#ask: [[Category:Foaf:Person]]
|?affiliation
|?hasRole
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Name
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=50
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

= Minutes, data catalog core team =
* [[File:data catalog core team meeting 2025 09 11.pdf]] 2025.09.11
* [[File:data catalog core team meeting 2025 07 10.pdf]] 2025.07.10
* [[File:data catalog core team meeting 2025 04 07.pdf]] 2025.04.07
* [[File:data catalog core team meeting 2025 02 10.pdf]] 2025.02.10

= Presentations =
* [[Ruisdael Data Catalog - PoC - Ruisdael Science Day 2024]] 2024.09.30
* [[Ruisdael Data Catalog - PoC - presentation 2024.09.06]]

Help:data level

2025-10-02T14:30:56Z

Marc Schleiss:

The data levels available in the dataset-form follow the definition from ICOS ('''[https://www.icos-cp.eu/data-services/data-collection/data-levels-quality ICOS data level]'''). The levels are listed here to help you select the most appropriate for your dataset.

= Data levels =

== Level 0: or Raw data ==

Raw data are information or objects directly obtained from human measurements or automated sensors that have not undergone any transformation. They may provide quantitative or qualitative information about physical variables of the environment and may be of various forms, such as images, text files or physical samples. Level 0 data are data in physical units either directly provided by instruments or converted from engineering units (for example, mV, mA, Ω) to physical units.

== Level 1: intermediate observational data ==

These data are generated in intermediate steps in the data processing of Level 1 NRT or Level 2 data preparation, and for this reason they are not handled as persistent data and not shared outside the ICOS RI. The Level 1 data are used for internal quality checks, for example in communication between Central Facilities and Principal Investigators. During the production of internal working data and following quality checks, important provenance information is generated that will be part of the provenance metadata of Level 2 data.

NRT data is a special type of Level 1 data that are developed for fast distribution using only automated quality control within a certain short time interval (typically 24) hours of the measurement. NRT data are defined as a high-quality data set that will be distributed in the default way to the users. These data sets have their own provenance metadata that describe the raw data used, the versions of the software and the scripts, the settings and the results of the automatic quality control.

== Level 2: final quality controlled observational data ==

Level 2 data are the main product of ICOS and form the final, quality-checked ICOS RI dataset, published by the Central Facilities, to be distributed through the Carbon Portal.

== Level 3: elaborated products ==

All kinds of products elaborated by scientific communities that rely partly or completely on ICOS data products are called Level 3 data. The Carbon Portal will provide resources to integrate and disseminate Level 3 products, which will be provided on a voluntary basis by the research community and/or, if agreed upon, by collaborative projects. Data products that are based on ICOS observational data can be presented at the Data Portal as an elaborated product. In this case, please contact info (at) icos-cp.eu for more information.

CINDI-3

2025-09-15T07:58:37Z

Marc Schleiss:

{{Campaign
|title=CINDI-3
|description=The 3rd Cabauw Intercomparison of Nitrogen Dioxide measuring Instruments (CINDI-3), took place at the Cabauw Experimental Site for Atmospheric Research (CESAR) from 21 May until 24 June 2024. CESAR is one of the main facilities of the Dutch Ruisdael Observatory located midway in between the cities of Rotterdam and Utrecht, and managed by KNMI.

Over 100 researchers from 18 countries participated in CINDI-3, operating 32 UV-Vis DOAS instruments to compare and intercalibrate measurements of air pollutants and to support the validation of satellite measurements from space-borne instruments such as Sentinel-5p/TROPOMI. CINDI-3 is the third intercomparison campaign of this kind. The overall campaign planning and coordination was led by BIRA-IASB (Royal Belgian Institute for Space Aeronomy).

The main science objectives of CINDI-3 were to:

- assess the consistency of slant column measurements of several key target species (NO2, ozone, O4 and HCHO) of relevance for the validation of S5P and the future ESA atmospheric Sentinels, through coordinated operation of a large number of DOAS and MAXDOAS instruments from all over the world.

- study the relationship between remote-sensing column- and profile-measurements of NO2, HCHO and ozone and reference in-situ concentration measurements of the same species.

- investigate the horizontal representativeness of MAXDOAS measuring systems in view of their use for the validation of satellite tropospheric measurements featuring ground pixel areas in the range of 25-50 km2.

CINDI-3 was organized as part of the ACTRIS-CREGARS Topical Center for trace gas remote sensing, within the framework of the collaboration between ACTRIS and NDACC, and conducted with additional support from ESA, NASA and from the EU Horizon2020 ATMO-ACCESS project (https://www.atmo-access.eu/).
Additionally, the campaign was supported by KNMI.

The following instruments were used:

- Static MAXDOAS and zenith-sky DOAS instruments

- In situ ICAD instrument

- Brewer

- Ozone sondes

- NO2 sondes

- Lidar systems: The multiwavelength Raman lidar CAELI, UV-depolarisation lidar, Ceilometer, ESA EMORAL system, SMOL tropospheric ozone differential absorption lidar, NO2 differential absorption lidar, Mobile Aerosol Monitoring System (MAMS) and scanning AERONET photometer

- Mobile DOAS instruments

- Airborne measurements

- Satellite data
|atLocation=Cabauw
|hasGeographicCoordinates=51.970271 N, 4.926209 E
|startDate=2024-05-21
|endDate=2024-06-25
|landingPage=https://ruisdael-observatory.nl/cindi-3-intercomparison-campaign/
|hasParticipant=ACTRIS, KNMI
|contributesTo=Static MAXDOAS and zenith-sky DOAS instrumentsStatic MAXDOAS and zenith-sky DOAS instruments
|hasImage=CINDI3 logo.png
}}

File:data catalog core team meeting 2025 07 10.pdf

2025-09-15T07:24:26Z

Marc Schleiss:

{{FileDescription
|Date=2025-07-10
}}
== Summary ==
Minutes of the data catalog core team member meeting on July 10, 2025

File:data catalog core team meeting 2025 09 11.pdf

2025-09-15T07:23:53Z

Marc Schleiss:

{{FileDescription
|Date=2025-09-11
}}
== Summary ==
Minutes of the data catalog core team member meeting on September 11, 2025

File:data catalog core team meeting 2025 09 11.pdf

2025-09-15T07:23:45Z

Marc Schleiss: Minutes of the data catalog core team member meeting on September 11, 2025

== Summary ==
Minutes of the data catalog core team member meeting on September 11, 2025

File:data catalog core team meeting 2025 07 10.pdf

2025-09-15T07:23:01Z

Marc Schleiss:

{{FileDescription
|Date=2025-07-10
}}
== Summary ==
Minutes of the data catalog core team members on July 10, 2025

File:data catalog core team meeting 2025 07 10.pdf

2025-09-15T07:22:52Z

Marc Schleiss: Minutes of the data catalog core team members on July 10, 2025

== Summary ==
Minutes of the data catalog core team members on July 10, 2025

Main Page

2025-09-15T07:21:56Z

Marc Schleiss:

[[File:schema-ruisdael-data-catalog.png|600px]]

= Purpose of the Ruisdael data catalog =

Within Ruisdael, data are stored and distributed through various national and international platforms, such as the KNMI Data Platform (KDP), the ACTRIS CloudNet Portal, 4TU Research Data, MAQ Observations, and the Integrated Carbon Observation System ICOS-portal. The Ruisdael data catalog provides a central, comprehensive overview of all available datasets. The catalog allows to:
* Index and describe datasets produced by the Ruisdael Observatory, independently of where they are stored or published.
* Find out where datasets are published/stored, via [[Property:servedBy]].
* Identify the point of contact for each dataset, especially for unpublished datasets, via [[Property:contactPoint]].
* Describe special measurement campaigns, model simulations and the datasets associated with them.

'''Note:''' the Ruisdael data catalog is not meant to index software. The latter can be published and accessed via the Ruisdael GitHub page: https://github.com/ruisdael-observatory

= How does it work? =

The catalog is set up as a collaborative editing content management system (i.e., a Wiki). Everyone can read the Wiki and search the catalog. Registered users can add datasets, edit pages and access more advanced functions.

'''New accounts can be requested via [https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues/new?template=WikiAccount.yml Github issues]''' or by sending an email to Marc Schleiss M.A.Schleiss@tudelft.nl

= Suggestions and Issues =

Please use the link below to report technical issues or make suggestions for improvement.

'''[https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues GitHub Ruisdael Data Catalog project]'''

If you do not have a GitHub account, you can send an email to M.A.Schleiss@tudelft.nl or to J.DiasNeto@tudelft.nl

= Useful Resources =

* The '''[[Help:What is a Dataset]]''' contains information on what is/isn't a dataset.
* The '''[[Help:Best Practices]]''' provides general guidelines for how to enter and describe datasets in the catalog.
* The '''[[Help:Catalog editing]]''' contains information on how to edit and add content to the Wiki.
* The '''[[Help:Data Catalog Schema]]''' describes the categories, properties, forms and templates used by the catalog.
* The '''[[Help:Frequently Asked Questions]]''' answers the most common questions.
* '''[[Help:Wiki administration]]''' includes information on how to maintain this Wiki (for admins only)

=Ruisdael [[:Category:Dataset|Datasets]]=

'''Create Dataset page with [[Form:Dataset]]'''

'''{{#queryformlink:form=DatasetSearch|link text=Search Datasets}}'''

'''See Datasets on [[Datasets Map]] '''

{{#ask: [[Category:Dataset]]
|?=Dataset |+width=38%
|?type |+width=10%
|?creator_organization=owner |+width=10%
|?servedBy |+width=10%
|?atLocation |+width=10%
|?hasGeographicCoordinates |+width=10%
|?startDate |+width=12%
|format=datatables
|limit=200
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=-
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:DataService|Data Services]]=

'''Create new DataService page with [[Form:DataService]]'''

{{#ask: [[Category:DataService]]
|?accessRights
|?-servedBy=serves dataset
|format=datatables
|mainlabel=Data Service
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:Campaign|Campaigns]]=

'''Create new Campaign page with [[Form:Campaign]]'''

{{#ask: [[Category:Campaign]]
|?atLocation
|?hasGeographicCoordinates
|?startDate
|?endDate
|?contributesTo=contributes to dataset
|?hasParticipant
|format=datatables
|mainlabel=title
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Partner [[:Category:Organization|Organizations]]=

'''Create new Organization page with [[Form:Organization]]'''

{{#ask:[[Category:Organization]]
|?isRuisdaelConsortiumPartner
|?Foaf:name
|?contactPoint
|?identifier
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Institute
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Staff ([[:Category:Foaf:Person|Person]])=

'''Create new Person page with [[Form:Person]]'''

{{#ask: [[Category:Foaf:Person]]
|?affiliation
|?hasRole
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Name
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=50
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

= Minutes, data catalog core team =
* [[File:data catalog core team meeting 2025 09 11.pdf]] 2025.09.11
* [[File:data catalog core team meeting 2025 07 10.pdf]] 2025.07.10
* [[File:data catalog core team meeting 2025 04 07.pdf]] 2025.04.07
* [[File:data catalog core team meeting 2025 02 10.pdf]] 2025.02.10

= Presentations =
* [[Ruisdael Data Catalog - PoC - Ruisdael Science Day 2024]] 2024.09.30
* [[Ruisdael Data Catalog - PoC - presentation 2024.09.06]]

File:data catalog core team meeting 2025 04 07.pdf

2025-09-15T07:21:38Z

Marc Schleiss:

{{FileDescription
|Date=2025-04-07
}}
== Summary ==
Minutes of the data catalog core team meeting on April 7, 2025

File:data catalog core team meeting 2025 04 07.pdf

2025-09-15T07:21:28Z

Marc Schleiss: Minutes of the data catalog core team meeting on April 7, 2025

== Summary ==
Minutes of the data catalog core team meeting on April 7, 2025

Main Page

2025-09-15T07:20:30Z

Marc Schleiss: /* Minutes, data catalog core team */

[[File:schema-ruisdael-data-catalog.png|600px]]

= Purpose of the Ruisdael data catalog =

Within Ruisdael, data are stored and distributed through various national and international platforms, such as the KNMI Data Platform (KDP), the ACTRIS CloudNet Portal, 4TU Research Data, MAQ Observations, and the Integrated Carbon Observation System ICOS-portal. The Ruisdael data catalog provides a central, comprehensive overview of all available datasets. The catalog allows to:
* Index and describe datasets produced by the Ruisdael Observatory, independently of where they are stored or published.
* Find out where datasets are published/stored, via [[Property:servedBy]].
* Identify the point of contact for each dataset, especially for unpublished datasets, via [[Property:contactPoint]].
* Describe special measurement campaigns, model simulations and the datasets associated with them.

'''Note:''' the Ruisdael data catalog is not meant to index software. The latter can be published and accessed via the Ruisdael GitHub page: https://github.com/ruisdael-observatory

= How does it work? =

The catalog is set up as a collaborative editing content management system (i.e., a Wiki). Everyone can read the Wiki and search the catalog. Registered users can add datasets, edit pages and access more advanced functions.

'''New accounts can be requested via [https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues/new?template=WikiAccount.yml Github issues]''' or by sending an email to Marc Schleiss M.A.Schleiss@tudelft.nl

= Suggestions and Issues =

Please use the link below to report technical issues or make suggestions for improvement.

'''[https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues GitHub Ruisdael Data Catalog project]'''

If you do not have a GitHub account, you can send an email to M.A.Schleiss@tudelft.nl or to J.DiasNeto@tudelft.nl

= Useful Resources =

* The '''[[Help:What is a Dataset]]''' contains information on what is/isn't a dataset.
* The '''[[Help:Best Practices]]''' provides general guidelines for how to enter and describe datasets in the catalog.
* The '''[[Help:Catalog editing]]''' contains information on how to edit and add content to the Wiki.
* The '''[[Help:Data Catalog Schema]]''' describes the categories, properties, forms and templates used by the catalog.
* The '''[[Help:Frequently Asked Questions]]''' answers the most common questions.
* '''[[Help:Wiki administration]]''' includes information on how to maintain this Wiki (for admins only)

=Ruisdael [[:Category:Dataset|Datasets]]=

'''Create Dataset page with [[Form:Dataset]]'''

'''{{#queryformlink:form=DatasetSearch|link text=Search Datasets}}'''

'''See Datasets on [[Datasets Map]] '''

{{#ask: [[Category:Dataset]]
|?=Dataset |+width=38%
|?type |+width=10%
|?creator_organization=owner |+width=10%
|?servedBy |+width=10%
|?atLocation |+width=10%
|?hasGeographicCoordinates |+width=10%
|?startDate |+width=12%
|format=datatables
|limit=200
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=-
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:DataService|Data Services]]=

'''Create new DataService page with [[Form:DataService]]'''

{{#ask: [[Category:DataService]]
|?accessRights
|?-servedBy=serves dataset
|format=datatables
|mainlabel=Data Service
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:Campaign|Campaigns]]=

'''Create new Campaign page with [[Form:Campaign]]'''

{{#ask: [[Category:Campaign]]
|?atLocation
|?hasGeographicCoordinates
|?startDate
|?endDate
|?contributesTo=contributes to dataset
|?hasParticipant
|format=datatables
|mainlabel=title
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Partner [[:Category:Organization|Organizations]]=

'''Create new Organization page with [[Form:Organization]]'''

{{#ask:[[Category:Organization]]
|?isRuisdaelConsortiumPartner
|?Foaf:name
|?contactPoint
|?identifier
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Institute
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Staff ([[:Category:Foaf:Person|Person]])=

'''Create new Person page with [[Form:Person]]'''

{{#ask: [[Category:Foaf:Person]]
|?affiliation
|?hasRole
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Name
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=50
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

= Minutes, data catalog core team =
* [[File:data catalog core team meeting 2025 09 11.pdf]] 2025.09.11
* [[File:data catalog core team meeting 2025 07 10.pdf]] 2025.07.10
* [[File:data catalog core team meeting 2025 04 10.pdf]] 2025.04.10
* [[File:data catalog core team meeting 2025 02 10.pdf]] 2025.02.10

= Presentations =
* [[Ruisdael Data Catalog - PoC - Ruisdael Science Day 2024]] 2024.09.30
* [[Ruisdael Data Catalog - PoC - presentation 2024.09.06]]

Main Page

2025-09-15T07:19:29Z

Marc Schleiss:

[[File:schema-ruisdael-data-catalog.png|600px]]

= Purpose of the Ruisdael data catalog =

Within Ruisdael, data are stored and distributed through various national and international platforms, such as the KNMI Data Platform (KDP), the ACTRIS CloudNet Portal, 4TU Research Data, MAQ Observations, and the Integrated Carbon Observation System ICOS-portal. The Ruisdael data catalog provides a central, comprehensive overview of all available datasets. The catalog allows to:
* Index and describe datasets produced by the Ruisdael Observatory, independently of where they are stored or published.
* Find out where datasets are published/stored, via [[Property:servedBy]].
* Identify the point of contact for each dataset, especially for unpublished datasets, via [[Property:contactPoint]].
* Describe special measurement campaigns, model simulations and the datasets associated with them.

'''Note:''' the Ruisdael data catalog is not meant to index software. The latter can be published and accessed via the Ruisdael GitHub page: https://github.com/ruisdael-observatory

= How does it work? =

The catalog is set up as a collaborative editing content management system (i.e., a Wiki). Everyone can read the Wiki and search the catalog. Registered users can add datasets, edit pages and access more advanced functions.

'''New accounts can be requested via [https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues/new?template=WikiAccount.yml Github issues]''' or by sending an email to Marc Schleiss M.A.Schleiss@tudelft.nl

= Suggestions and Issues =

Please use the link below to report technical issues or make suggestions for improvement.

'''[https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues GitHub Ruisdael Data Catalog project]'''

If you do not have a GitHub account, you can send an email to M.A.Schleiss@tudelft.nl or to J.DiasNeto@tudelft.nl

= Useful Resources =

* The '''[[Help:What is a Dataset]]''' contains information on what is/isn't a dataset.
* The '''[[Help:Best Practices]]''' provides general guidelines for how to enter and describe datasets in the catalog.
* The '''[[Help:Catalog editing]]''' contains information on how to edit and add content to the Wiki.
* The '''[[Help:Data Catalog Schema]]''' describes the categories, properties, forms and templates used by the catalog.
* The '''[[Help:Frequently Asked Questions]]''' answers the most common questions.
* '''[[Help:Wiki administration]]''' includes information on how to maintain this Wiki (for admins only)

=Ruisdael [[:Category:Dataset|Datasets]]=

'''Create Dataset page with [[Form:Dataset]]'''

'''{{#queryformlink:form=DatasetSearch|link text=Search Datasets}}'''

'''See Datasets on [[Datasets Map]] '''

{{#ask: [[Category:Dataset]]
|?=Dataset |+width=38%
|?type |+width=10%
|?creator_organization=owner |+width=10%
|?servedBy |+width=10%
|?atLocation |+width=10%
|?hasGeographicCoordinates |+width=10%
|?startDate |+width=12%
|format=datatables
|limit=200
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=-
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:DataService|Data Services]]=

'''Create new DataService page with [[Form:DataService]]'''

{{#ask: [[Category:DataService]]
|?accessRights
|?-servedBy=serves dataset
|format=datatables
|mainlabel=Data Service
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:Campaign|Campaigns]]=

'''Create new Campaign page with [[Form:Campaign]]'''

{{#ask: [[Category:Campaign]]
|?atLocation
|?hasGeographicCoordinates
|?startDate
|?endDate
|?contributesTo=contributes to dataset
|?hasParticipant
|format=datatables
|mainlabel=title
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Partner [[:Category:Organization|Organizations]]=

'''Create new Organization page with [[Form:Organization]]'''

{{#ask:[[Category:Organization]]
|?isRuisdaelConsortiumPartner
|?Foaf:name
|?contactPoint
|?identifier
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Institute
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Staff ([[:Category:Foaf:Person|Person]])=

'''Create new Person page with [[Form:Person]]'''

{{#ask: [[Category:Foaf:Person]]
|?affiliation
|?hasRole
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Name
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=50
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

= Minutes, data catalog core team =
* [[File:data catalog core team meeting 2025 02 10.pdf]] 2025.02.10

= Presentations =
* [[Ruisdael Data Catalog - PoC - Ruisdael Science Day 2024]] 2024.09.30
* [[Ruisdael Data Catalog - PoC - presentation 2024.09.06]]

Main Page

2025-09-15T07:08:31Z

Marc Schleiss: /* Minutes, data catalog core team */

[[File:schema-ruisdael-data-catalog.png|600px]]

= Purpose of the Ruisdael data catalog =

Within Ruisdael, data are stored and distributed through various national and international platforms, such as the KNMI Data Platform (KDP), the ACTRIS CloudNet Portal, 4TU Research Data, MAQ Observations, and the Integrated Carbon Observation System ICOS-portal. The Ruisdael data catalog provides a central, comprehensive overview of all available datasets. The catalog allows to:
* Index and describe datasets produced by the Ruisdael Observatory, independently of where they are stored or published.
* Find out where datasets are published/stored, via [[Property:servedBy]].
* Identify the point of contact for each dataset, especially for unpublished datasets, via [[Property:contactPoint]].
* Describe special measurement campaigns, model simulations and the datasets associated with them.

'''Note:''' the Ruisdael data catalog is not meant to index software. The latter can be published and accessed via the Ruisdael GitHub page: https://github.com/ruisdael-observatory

= How does it work? =

The catalog is set up as a collaborative editing content management system (i.e., a Wiki). Everyone can read the Wiki and search the catalog. Registered users can add datasets, edit pages and access more advanced functions.

'''New accounts can be requested via [https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues/new?template=WikiAccount.yml Github issues]''' or by sending an email to Marc Schleiss M.A.Schleiss@tudelft.nl

= Suggestions and Issues =

Please use the link below to report technical issues or make suggestions for improvement.

'''[https://github.com/ruisdael-observatory/Ruisdael-Data-Catalog/issues GitHub Ruisdael Data Catalog project]'''

If you do not have a GitHub account, you can send an email to M.A.Schleiss@tudelft.nl or to J.DiasNeto@tudelft.nl

= Useful Resources =

* The '''[[Help:What is a Dataset]]''' contains information on what is/isn't a dataset.
* The '''[[Help:Best Practices]]''' provides general guidelines for how to enter and describe datasets in the catalog.
* The '''[[Help:Catalog editing]]''' contains information on how to edit and add content to the Wiki.
* The '''[[Help:Data Catalog Schema]]''' describes the categories, properties, forms and templates used by the catalog.
* The '''[[Help:Frequently Asked Questions]]''' answers the most common questions.
* '''[[Help:Wiki administration]]''' includes information on how to maintain this Wiki (for admins only)

=Ruisdael [[:Category:Dataset|Datasets]]=

'''Create Dataset page with [[Form:Dataset]]'''

'''{{#queryformlink:form=DatasetSearch|link text=Search Datasets}}'''

'''See Datasets on [[Datasets Map]] '''

{{#ask: [[Category:Dataset]]
|?=Dataset |+width=38%
|?type |+width=10%
|?creator_organization=owner |+width=10%
|?servedBy |+width=10%
|?atLocation |+width=10%
|?hasGeographicCoordinates |+width=10%
|?startDate |+width=12%
|format=datatables
|limit=200
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=-
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:DataService|Data Services]]=

'''Create new DataService page with [[Form:DataService]]'''

{{#ask: [[Category:DataService]]
|?accessRights
|?-servedBy=serves dataset
|format=datatables
|mainlabel=Data Service
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael [[:Category:Campaign|Campaigns]]=

'''Create new Campaign page with [[Form:Campaign]]'''

{{#ask: [[Category:Campaign]]
|?atLocation
|?hasGeographicCoordinates
|?startDate
|?endDate
|?contributesTo=contributes to dataset
|?hasParticipant
|format=datatables
|mainlabel=title
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Partner [[:Category:Organization|Organizations]]=

'''Create new Organization page with [[Form:Organization]]'''

{{#ask:[[Category:Organization]]
|?isRuisdaelConsortiumPartner
|?Foaf:name
|?contactPoint
|?identifier
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Institute
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=20
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

=Ruisdael Staff ([[:Category:Foaf:Person|Person]])=

'''Create new Person page with [[Form:Person]]'''

{{#ask: [[Category:Foaf:Person]]
|?affiliation
|?hasRole
|format=datatables
|limit=50
|offset=0
|link=all
|sort=
|order=asc
|headers=show
|mainlabel=Name
|searchlabel=... further results
|class=sortable wikitable smwtable
|sep=, 
|prefix=none
|datatables-info=1
|datatables-lengthchange=1
|datatables-ordering=1
|datatables-paging=1
|datatables-searching=1
|datatables-pagingtype=full_numbers
|datatables-pagelength=50
|datatables-lengthmenu=10, 20, 50, 100, 200
|datatables-scroller.displaybuffer=50
|datatables-dom=lfrtip
|datatables-responsive=1
|datatables-searchpanes.collapse=1
|datatables-searchpanes.threshold=0.6
|datatables-searchpanes.mincount=1
}}

= Minutes, data catalog core team =
* [[data catalog core team meeting 2025 02 10.pdf]] 2025.02.10

= Presentations =
* [[Ruisdael Data Catalog - PoC - Ruisdael Science Day 2024]] 2024.09.30
* [[Ruisdael Data Catalog - PoC - presentation 2024.09.06]]