cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.cvjbex
title: Occurrence Download

description: A dataset containing 1259547 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trifolium pratense L."
 ]
}

 The dataset includes 1259547 records from 4298 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0047947-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/edb3e4b5-9ce5-4ba2-ab57-bf54e1a13de1
title: Rotterdam Atmospheric Measurement Network RAMN - Davis009 weather station data at Hofbogenpark

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-009" at Hofbogenpark, Rotterdam, The Netherlands. The station is placed on a roof at Luchtsingel, Raampoortstraat 10, 3032 AH Rotterdam, at a height of approx. 8 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 8, 2024. This dataset will be updated approximately every 3 months. Please reach out to the authors if you need access to the most recent data.<br><strong>Known issues:</strong> There are no reported issues associated with this dataset.<br>
DOI: 10.4121/edb3e4b5-9ce5-4ba2-ab57-bf54e1a13de1.v1
title: Rotterdam Atmospheric Measurement Network RAMN - Davis009 weather station data at Hofbogenpark

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-009" at Hofbogenpark, Rotterdam, The Netherlands. The station is placed on a roof at Luchtsingel, Raampoortstraat 10, 3032 AH Rotterdam, at a height of approx. 8 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. New data files will be added every 2-3 months.<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 8, 2024.
DOI: 10.4121/edb3e4b5-9ce5-4ba2-ab57-bf54e1a13de1.v2
title: Rotterdam Atmospheric Measurement Network RAMN - Davis009 weather station data at Hofbogenpark

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-009" at Hofbogenpark, Rotterdam, The Netherlands. The station is placed on a roof at Luchtsingel, Raampoortstraat 10, 3032 AH Rotterdam, at a height of approx. 8 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. New data files will be added every 2-3 months.<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 8, 2024.
DOI: 10.4121/edb3e4b5-9ce5-4ba2-ab57-bf54e1a13de1.v3
title: Rotterdam Atmospheric Measurement Network RAMN - Davis009 weather station data at Hofbogenpark

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-009" at Hofbogenpark, Rotterdam, The Netherlands. The station is placed on a roof at Luchtsingel, Raampoortstraat 10, 3032 AH Rotterdam, at a height of approx. 8 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 8, 2024. This dataset will be updated approximately every 3 months. Please reach out to the authors if you need access to the most recent data.<br><strong>Known issues:</strong> There are no reported issues associated with this dataset.<br>
DOI: 10.15468/dl.sb3hw2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON Z ((-50.15417740346436 -6.43068075890983 -0.000047, -50.15430136871316 -6.430837092557738 -0.000047, -50.15471573044658 -6.430564893854694 -0.000047, -50.154976282468894 -6.430729032195014 -0.0000235, -50.15457540799997 -6.430780125999945 0, -50.15457540742909 -6.43078012680138 -0.000047, -50.15449580799998 -6.430895618999898 0, -50.154495807535454 -6.430895619537182 -0.000047, -50.154764951241475 -6.431125812706057 -0.000047, -50.15475226099994 -6.431342161999908 0, -50.15475226090808 -6.43134216351001 -0.000047, -50.15519271449794 -6.431599375357082 -0.000011750004445, -50.155192714664594 -6.431599375454401 -0.0000235, -50.15519495199993 -6.431600681999896 0, -50.15532452699995 -6.432176695999942 0, -50.15509532299984 -6.432406074999903 0, -50.15509532344681 -6.432406075023239 -0.0000235, -50.15509532259102 -6.432406075879669 -0.000047, -50.155575322243294 -6.432431136387777 -0.000047, -50.15608281956645 -6.431955916632205 -0.000047, -50.15608281999994 -6.431955915999879 0, -50.15653388802849 -6.431341596037782 -0.000047, -50.15683913299373 -6.430938411376809 -0.0000235, -50.15683104616136 -6.432730181807607 -0.0000235, -50.156786934776186 -6.442503512072159 -0.0000235, -50.15678693476917 -6.442503513626207 -0.000047, -50.153434783788214 -6.442701255658392 -0.000047, -50.1534347837874 -6.442701254953521 -0.0000235, -50.15343169425026 -6.440038484731513 -0.0000235, -50.15342586251353 -6.435012303075268 -0.000047, -50.15334083346089 -6.435011326231911 -0.0000235, -50.15315626195189 -6.435009205810161 -0.000047, -50.15320625976102 -6.430763733059791 -0.000047, -50.1535515364742 -6.430765272699148 -0.000047, -50.153732611370856 -6.430671357397159 -0.000047, -50.15355153699983 -6.430765271999974 0, -50.15373260999996 -6.430671355999891 0, -50.1537950501474 -6.430473004815703 -0.0000235, -50.153797298166495 -6.43046586362103 -0.00001175, -50.153799630782565 -6.430458453690419 -0.0000235, -50.15408033729048 -6.430449592691767 -0.0000235, -50.15409649491704 -6.430488072235819 -0.00001175, -50.15411687980388 -6.430536619041139 -0.0000235, -50.15417740346436 -6.43068075890983 -0.000047))",
 "HasGeospatialIssue is False"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005500-250325103851331/datasets/export for details.
DOI: 10.6084/m9.figshare.28684655.v1
title: mgCST classifier data

description: Data and code used to run the application related to the mgCST classifier v2
DOI: 10.6084/m9.figshare.28684655
title: mgCST classifier data

description: Data and code used to run the application related to the mgCST classifier v2
DOI: 10.4121/f7357ee2-f6e6-4c6d-b5da-1340ecdea7cf
title: Rotterdam Atmospheric Measurement Network RAMN - Davis003 weather station data at Westmaas

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-003" at Westmaas, The Netherlands. Westmaas is a village in the Dutch province of South Holland located approximately 15 km south of the city centre of Rotterdam, south of the old Meuse. The same site also features a Parsivel optical disdrometer "PAR004_Westmaas" (since October 2021), and a vertically pointing micro-rain radar "MRR003_Westmaas" (since June 2022). All sensors are placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters. The container is located approximately 1.5 km to the West of the village of Westmaas, in a predominantly flat and rural area.<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>Notes:</strong> This dataset is updated approximately every 2-3 months. Please reach out to the authors if you wish to get access to the most recent observations.<br><strong>Known issues:</strong>Connectivity issues resulted in the loss of approx. 2 months of data between February 2024 and April 2024.The issue was resolved on 18 April 2024 when a new RaspberryPi (Pi Zero 2W) logger was installed, to replace the previous Pi Zero.
DOI: 10.4121/f7357ee2-f6e6-4c6d-b5da-1340ecdea7cf.v1
title: Rotterdam Atmospheric Measurement Network RAMN - Davis003 weather station data at Westmaas

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-003" at Westmaas, The Netherlands. Westmaas is a village in the Dutch province of South Holland located approximately 15 km south of the city centre of Rotterdam, south of the old Meuse. The same site also features a Parsivel optical disdrometer "PAR004_Westmaas" (since October 2021), and a vertically pointing micro-rain radar "MRR003_Westmaas" (since June 2022). All sensors are placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters. The container is located approximately 1.5 km to the West of the village of Westmaas, in a predominantly flat and rural area.<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>Notes:</strong> This dataset is updated approximately every 2-3 months. Please reach out to the authors if you wish to get access to the most recent observations.<br><strong>Known issues:</strong>Connectivity issues resulted in the loss of approx. 2 months of data between February 2024 and April 2024.The issue was resolved on 18 April 2024 when a new RaspberryPi (Pi Zero 2W) logger was installed, to replace the previous Pi Zero.
DOI: 10.4121/f7357ee2-f6e6-4c6d-b5da-1340ecdea7cf.v2
title: Rotterdam Atmospheric Measurement Network RAMN - Davis003 weather station data at Westmaas

description: <strong>Description:</strong> In-situ measurements of temperature, pressure, relative humidity, rain and wind by a Davis Vantage Pro2 weather station named "Davis-003" at Westmaas, The Netherlands. Westmaas is a village in the Dutch province of South Holland located approximately 15 km south of the city centre of Rotterdam, south of the old Meuse. The same site also features a Parsivel optical disdrometer "PAR004_Westmaas" (since October 2021), and a vertically pointing micro-rain radar "MRR003_Westmaas" (since June 2022). All sensors are placed on top of an air quality monitoring container belonging to TNO, at a height of approx. 4 meters. The container is located approximately 1.5 km to the West of the village of Westmaas, in a predominantly flat and rural area.<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>Notes:</strong> This dataset is updated approximately every 2-3 months. Please reach out to the authors if you wish to get access to the most recent observations.<br><strong>Known issues:</strong>Connectivity issues resulted in the loss of approx. 2 months of data between February 2024 and April 2024.The issue was resolved on 18 April 2024 when a new RaspberryPi (Pi Zero 2W) logger was installed, to replace the previous Pi Zero.
DOI: 10.15468/dl.a7zqtu
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((5.69056 51.91849,6.24127 51.91849,6.24127 52.18446,5.69056 52.18446,5.69056 51.91849))",
 "HasGeospatialIssue is false",
 "TaxonKey is Castor fiber Linnaeus, 1758",
 "Year 2025-2025"
 ]
}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005501-250325103851331/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.4121/67ea6e4a-c0f6-45bf-85c1-ed769086e976
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: 10.4121/67ea6e4a-c0f6-45bf-85c1-ed769086e976.v1
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. New data files will be added every 2-3 months.<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.