cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.4121/67ea6e4a-c0f6-45bf-85c1-ed769086e976.v2
title: Rotterdam Atmospheric Measurement Network RAMN - Davis006 weather station data at EUR campus

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-006" at Erasmus University Rotterdam (EUR campus), The Netherlands. The station is located on the Sanders building roof, at a height of 29 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Weather station data provide useful information about local variations in temperature, humidity, wind and precipitation up to a few hundred meters around the observation site. Collecting good weather data in urban environments is challenging but crucial for understanding and managing the unique micro-climates created by dense buildings, infrastructure, and human activities. This data can be used for scientific purposes, to support urban planning, public health, and climate adaptation strategies. The Rotterdam Atmospheric Measurement Network RAMN was established with the help of TU Delft strategic funds, in collaboration with the Ruisdael Observatory.<br><strong>Note:</strong> data collection started on September 19, 2024. This dataset will be updated approximately every 2-3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known issues: </strong>there are no known issues associated with this dataset.
DOI: 10.4228/zalf-vrwf-kc57
title: Open code and data for „Facilitating Effective Reuse of Soil Research Data: The BonaRes Repository” (Lachmuth et al. 2025)

description: The code and data publication linked to the paper "Facilitating Effective Reuse of Soil Research Data: The BonaRes Repository" includes the R scripts and datasets used to assess data reuse in agricultural and soil research published in the BonaRes Repository. It features a readme file, R scripts for analysis and visualization, as well as data on the repository’s publication statistics, reuse applications, and scientific paper records of data reuse cases—all of which underscore the repository's pivotal role in advancing soil and agricultural science.
DOI: 10.4121/1d7b8042-e8f9-4768-9a13-c6bac5832f2a
title: PAR005 Optical disdrometer data at De Zweth

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR005" in De Zweth, The Netherlands. Situated approximately 7 km to the North West of Rotterdam, and 4 km South East of Delft campus, Zweth is a small town along the Schie river, at the intersection of the historical areas of Delfland and Schieland. The same site also features a micro-rain radar "MRR004_DeZweth" (since February 2022), replaced by "MRR006_DeZweth" (since August 2022) and a Davis weather station "Davis003_DeZweth" (since May 2023). All sensors are placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known issues:</strong>Due to a sensor malfunction, the recorded temperature values between November 2023 and December 15, 2024 cannot be trusted.
DOI: 10.4121/1d7b8042-e8f9-4768-9a13-c6bac5832f2a.v1
title: PAR005 Optical disdrometer data at De Zweth

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR005" in De Zweth, The Netherlands. Situated approximately 7 km to the North West of Rotterdam, and 4 km South East of Delft campus, Zweth is a small town along the Schie river, at the intersection of the historical areas of Delfland and Schieland. The same site also features a micro-rain radar "MRR004_DeZweth" (since February 2022), replaced by "MRR006_DeZweth" (since August 2022) and a Davis weather station "Davis003_DeZweth" (since May 2023). All sensors are placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.
DOI: 10.4121/1d7b8042-e8f9-4768-9a13-c6bac5832f2a.v2
title: PAR005 Optical disdrometer data at De Zweth

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR005" in De Zweth, The Netherlands. Situated approximately 7 km to the North West of Rotterdam, and 4 km South East of Delft campus, Zweth is a small town along the Schie river, at the intersection of the historical areas of Delfland and Schieland. The same site also features a micro-rain radar "MRR004_DeZweth" (since February 2022), replaced by "MRR006_DeZweth" (since August 2022) and a Davis weather station "Davis003_DeZweth" (since May 2023). All sensors are placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.
DOI: 10.4121/1d7b8042-e8f9-4768-9a13-c6bac5832f2a.v3
title: PAR005 Optical disdrometer data at De Zweth

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR005" in De Zweth, The Netherlands. Situated approximately 7 km to the North West of Rotterdam, and 4 km South East of Delft campus, Zweth is a small town along the Schie river, at the intersection of the historical areas of Delfland and Schieland. The same site also features a micro-rain radar "MRR004_DeZweth" (since February 2022), replaced by "MRR006_DeZweth" (since August 2022) and a Davis weather station "Davis003_DeZweth" (since May 2023). All sensors are placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors if you wish to access the most recent data.<br><strong>Known issues:</strong>Due to a sensor malfunction, the recorded temperature values between November 2023 and December 15, 2024 cannot be trusted.
DOI: 10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5
title: PAR003 Optical disdrometer data at Green Village in Delft

description: <strong>Description:</strong> 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.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors if you wish to get access to the most recent data.
DOI: 10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5.v1
title: PAR003 Optical disdrometer data at Green Village in Delft

description: <strong>Description:</strong> 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.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.
DOI: 10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5.v2
title: PAR003 Optical disdrometer data at Green Village in Delft

description: <strong>Description:</strong> 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.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.
DOI: 10.4121/c70b90ab-02a3-418c-a5ea-4125d40d06a5.v3
title: PAR003 Optical disdrometer data at Green Village in Delft

description: <strong>Description:</strong> 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.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors if you wish to get access to the most recent data.
DOI: 10.23728/b2share.ce1c9a25f2b84de6bbf694a85dfc66ca
title: Setup for the mountain snow model openAMUNDSEN in Berchtesgaden National Park, Germany

description: Setup for mountain snow model openAMUNDSEN to conduct snow cover simulations in Berchtesgaden National Park, Germany, including input grids and configuration file. The source code of openAMUNDSEN is available at: https://github.com/openamundsen/.
DOI: 10.4121/8fa00e8d-4cc9-469e-a034-da5aab811f5a
title: PAR009 Optical disdrometer data at Lutjewad

description: <strong>Description:</strong> In-situ measurements of raindrop size distributions, fall velocities, drop number concentrations and surface rain rates recorded by an OTT Parsivel2 disdrometer named "PAR009" at a height of 3 meters at the Lutjewad atmospheric measurement station on the northern coast of the Netherlands, approximately 30 km northeast from the city of Groningen. "PAR009_Lutjewad" replaces "PAR008_Lutjewad" which was damaged on April 7, 2022 during a storm. The rural landscape to the south consists mainly of pasture and cropland with patches of forested land with livestock dominated by dairy cows and sheep. Set up directly behind the Wadden Sea dike, the site features a 60 meter tall sampling tower, a 10 meter platform, a laboratory building, and an aerosol laboratory container. The station monitors greenhouse gases and trace gas species, sampling aerosol number, size, and composition at different altitudes. Lutjewad is part of the European research infrastructure ICOS, providing continuous greenhouse gas concentrations. The coastal location means that the site samples relatively clean marine background air in conditions of northerly winds and more polluted air masses during conditions of south-easterly and south-westerly winds.<br><strong>Format:</strong> Each NetCDF file covers a full month of observations. The temporal resolution is 1 minute. Data are provided "as is", without any post-processing. The NetCDF files contain all relevant information about all the variables, attributes and units. The global attributes of the NetCDF files contain important information about the type of sensor, logging software, project contributors and history of the dataset. If a monthly file is missing, no data are available for this month.<br><strong>Relevance:</strong> Optical disdrometer data are useful for studying the type, dynamics and microphysics of precipitation from the perspective of a fixed observer on the ground. The data can be used to help calibrate weather radars, improve quantitative precipitation estimates, calculate the absorption/attenuation/propagation of electromagnetic signals through the atmosphere, and quantify important physical quantities such as liquid water content, rain amount, intensity and kinetic energy.<br><strong>Note:</strong> This dataset is updated approximately every 3 months. Please reach out to the authors if you wish to get access to the most recent data.<br><strong>Known issues:</strong>Due to a sensor malfunction, the internal temperature values between November 2024 and February 2025 cannot be trusted. We hope to be able to fix this issue soon.