cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6073/pasta/b6cb99c3c9d30ec1533dc07ff64ab4ca
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP M-WELL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP M-WELL site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/406c332cbd9e904f2bb609b7046e7811
title: Jornada Basin LTER: Wireless meteorological station at NPP M-WELL site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP M-WELL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP M-WELL site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.6084/m9.figshare.19343657.v1
title: posts

description: This is the data for the paper Multi-language software development: issues, challenges, and solutions.
DOI: 10.6084/m9.figshare.19343657.v2
title: posts

description: This is the data for the paper Multi-language software development: issues, challenges, and solutions.
DOI: 10.6084/m9.figshare.19343657.v3
title: Multi-language software development: issues, challenges, and solutions

description: This is the data for the paper Multi-language software development: issues, challenges, and solutions.
DOI: 10.6073/pasta/a99410e376561372706c86080154119a
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP P-COLL met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/28a8384426512f760cb9d67123dc59f7
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP P-COLL met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.6073/pasta/742e03e6f5b1e04444b5822b77a77229
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 30-minute summary data: 2013 - ongoing

description: 30-minute summary data at NPP P-COLL met station. Average air temperature, relative humidity, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.15468/bdk657
title: (Table 2) Abundance, wet biomass, and carbon biomass of all major groups and total phytoplankton in the upper and lower parts of the desalinated water lens and in the layer under the lens in the Kara Sea
DOI: 10.6073/pasta/cb98ea49165602f0a2575bb93856362a
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: Daily summary data: 2013 - ongoing

description: Daily summary data at NPP P-COLL met station. Average/maximum/minimum air temperature; average/maximum relative humidity and wind speed and average wind direction. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.6345659
title: Base de Datos Subestación la Propicia

description: Base de datos de los alimentadores de la subestación
DOI: 10.6073/pasta/6e19d70e7cc9f0d76d72605e9f8a681a
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 1-second summary precipitation data: 2013 - ongoing

description: 1-second summary precipitation data at NPP P-COLL met station. Total precipitation per second is recorded only if there is measurable precipitation. This is recorded at an automated meteorological station installed at Jornada LTER NPP P-COLL site.. This climate station is operated by the Jornada LTER Program. IMPORTANT: Rainfall is only recorded when a bucket tip occurs on the tipping bucket rain gauge. If there is missing data due to equipment or other problems, there will be no indication of this within this dataset. The user needs to review precipitation values in the 30 minute or hourly summary datasets to determine if there are missing data in this 1 second detailed precipitation dataset. Reference the package i.d.'s knb-lter-jrn.210437025, knb-lter-jrn.210437040, and knb-lter-jrn.210437055 for the NPP P-COLL met station 30 minute, hourly, and daily summary datasets, respectively. This is an ONGOING dataset.
DOI: 10.6073/pasta/565851a467ed9a730a7048b86e6f7744
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: 30-minute soil volumetric water content data: 2013 - ongoing

description: 30-minute Soil Moisture data at NPP P-COLL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured every 30 minutes at an automated meteorological station installed at Jornada LTER NPP P-COLL site. Measurements are made every 30 minutes at 10 cm, 20 cm, and 30 cm soil depths. This is an ONGOING dataset.
DOI: 10.6073/pasta/f8166b8cf92b9e263ff91b5082aefcc3
title: Jornada Basin LTER: Wireless meteorological station at NPP P-COLL site: Daily average soil volumetric water content data: 2013 - ongoing

description: Daily average of 30-minute Volumetric Water Content at NPP P-COLL met station. Collection of soil volumetric water content data at Jornada LTER NPP sites, New Mexico, supports the environmental monitoring objectives of the Jornada LTER monitoring program that look at plant-soil water dynamics. Volumetric water content, bulk electrical conductivity, soil temperature, and bulk dielectric permittivity are measured and calculated at an automated meteorological station installed at Jornada LTER NPP P-COLL site. The daily average at 3 soil depths is calculated from measurements made every 30 minutes at 10 cm, 20 cm, and 30 cm. This is an ONGOING dataset.
DOI: 10.6073/pasta/c215997e5c2d76fe083bd4473fea6c4b
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 5-minute summary wind and air temperature data: 2013 - ongoing

description: 5-minute summary data at NPP P-SMAL met station. Average air temperature, wind speed and wind direction are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.4784811
title: WRF model fields for TITAN tracking of simulated storms, Thompson microphysics scheme

description: This dataset contains reflectivity and maximum hail diameter fields extracted from WRF v4.0.1 simulations, run using HAILCAST and the Thompson microphysics scheme. The data is subset to the specified region of interest over Switzerland. The file 'coordinates.nc' contains the latitude/longitude coordinates for each included point, as well as global WRF attributes for the model run. Full model run details are listed in a manuscript in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). <strong>Author contributions:</strong><br> AM configured and ran the model with input from THR, THR wrote the corresponding manuscript, OM oversaw the project. <strong>References:</strong> <strong>WRF:</strong> <br> Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and yu Huang, X.: A Description of the Advanced Research WRF Version 4, Tech. rep., National Center for Atmospheric Research, Boulder, Colorado, USA, https://doi.org/10.5065/1dfh-6p97, NCAR technical note NCAR/TN-556+STR, 2019. <strong>HAILCAST: </strong><br> Adams-Selin, R. D. and Ziegler, C. L.: Forecasting Hail Using a One-Dimensional Hail Growth Model within WRF, Mon. Weather Rev., 144, 4919–4939, https://doi.org/10.1175/MWR-D-16-0027.1, 2016.<br> Brimelow, J. C., Reuter, G. W., and Poolman, E. R.: Modeling Maximum Hail Size in Alberta Thunderstorms, Weather Forecast., 17, 1048–1062, https://doi.org/10.1175/1520-0434(2002)017&lt;1048:MMHSIA&gt;2.0.CO;2, 2002. <strong>Thompson microphysics scheme: </strong><br> Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization, Mon. Weather Rev., 136, 5095–5115, https://doi.org/10.1175/2008MWR2387.1, 2008.
DOI: 10.5281/zenodo.4784810
title: WRF model fields for TITAN tracking of simulated storms, Thompson microphysics scheme

description: This dataset contains reflectivity and maximum hail diameter fields extracted from WRF v4.0.1 simulations, run using HAILCAST and the Thompson microphysics scheme. The data is subset to the specified region of interest over Switzerland. The file 'coordinates.nc' contains the latitude/longitude coordinates for each included point, as well as global WRF attributes for the model run. Full model run details are listed in a manuscript in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). <strong>Author contributions:</strong><br> AM configured and ran the model with input from THR, THR wrote the corresponding manuscript, OM oversaw the project. <strong>References:</strong> <strong>WRF:</strong> <br> Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and yu Huang, X.: A Description of the Advanced Research WRF Version 4, Tech. rep., National Center for Atmospheric Research, Boulder, Colorado, USA, https://doi.org/10.5065/1dfh-6p97, NCAR technical note NCAR/TN-556+STR, 2019. <strong>HAILCAST: </strong><br> Adams-Selin, R. D. and Ziegler, C. L.: Forecasting Hail Using a One-Dimensional Hail Growth Model within WRF, Mon. Weather Rev., 144, 4919–4939, https://doi.org/10.1175/MWR-D-16-0027.1, 2016.<br> Brimelow, J. C., Reuter, G. W., and Poolman, E. R.: Modeling Maximum Hail Size in Alberta Thunderstorms, Weather Forecast., 17, 1048–1062, https://doi.org/10.1175/1520-0434(2002)017&lt;1048:MMHSIA&gt;2.0.CO;2, 2002. <strong>Thompson microphysics scheme: </strong><br> Thompson, G., Field, P. R., Rasmussen, R. M., and Hall, W. D.: Explicit Forecasts of Winter Precipitation Using an Improved Bulk Microphysics Scheme. Part II: Implementation of a New Snow Parameterization, Mon. Weather Rev., 136, 5095–5115, https://doi.org/10.1175/2008MWR2387.1, 2008.
DOI: 10.5281/zenodo.4784820
title: WRF model fields for TITAN tracking of simulated storms, Morrison microphysics scheme

description: This dataset contains reflectivity and maximum hail diameter fields extracted from WRF v4.0.1 simulations, run using HAILCAST and the P3 microphysics scheme. The data is subset to the specified region of interest over Switzerland. The file 'coordinates.nc' contains the latitude/longitude coordinates for each included point, as well as global WRF attributes for the model run. Full model run details are listed in a manuscript in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). <strong>Author contributions:</strong> <br> AM configured and ran the model with input from THR, THR wrote the corresponding manuscript, OM oversaw the project. <strong>References:</strong> <strong>WRF:</strong> <br> Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and yu Huang, X.: A Description of the Advanced Research WRF Version 4, Tech. rep., National Center for Atmospheric Research, Boulder, Colorado, USA, https://doi.org/10.5065/1dfh-6p97, NCAR technical note NCAR/TN-556+STR, 2019. <strong>HAILCAST: </strong><br> Adams-Selin, R. D. and Ziegler, C. L.: Forecasting Hail Using a One-Dimensional Hail Growth Model within WRF, Mon. Weather Rev., 144, 4919–4939, https://doi.org/10.1175/MWR-D-16-0027.1, 2016.<br> Brimelow, J. C., Reuter, G. W., and Poolman, E. R.: Modeling Maximum Hail Size in Alberta Thunderstorms, Weather Forecast., 17, 1048–1062, https://doi.org/10.1175/1520-0434(2002)017&lt;1048:MMHSIA&gt;2.0.CO;2, 2002. <strong>Morrison microphysics scheme: </strong><br> Morrison, H., Thompson, G., and Tatarskii, V.: Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes, Mon. Weather Rev., 137, 991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
DOI: 10.5281/zenodo.4784819
title: WRF model fields for TITAN tracking of simulated storms, Morrison microphysics scheme

description: This dataset contains reflectivity and maximum hail diameter fields extracted from WRF v4.0.1 simulations, run using HAILCAST and the P3 microphysics scheme. The data is subset to the specified region of interest over Switzerland. The file 'coordinates.nc' contains the latitude/longitude coordinates for each included point, as well as global WRF attributes for the model run. Full model run details are listed in a manuscript in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). <strong>Author contributions:</strong> <br> AM configured and ran the model with input from THR, THR wrote the corresponding manuscript, OM oversaw the project. <strong>References:</strong> <strong>WRF:</strong> <br> Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and yu Huang, X.: A Description of the Advanced Research WRF Version 4, Tech. rep., National Center for Atmospheric Research, Boulder, Colorado, USA, https://doi.org/10.5065/1dfh-6p97, NCAR technical note NCAR/TN-556+STR, 2019. <strong>HAILCAST: </strong><br> Adams-Selin, R. D. and Ziegler, C. L.: Forecasting Hail Using a One-Dimensional Hail Growth Model within WRF, Mon. Weather Rev., 144, 4919–4939, https://doi.org/10.1175/MWR-D-16-0027.1, 2016.<br> Brimelow, J. C., Reuter, G. W., and Poolman, E. R.: Modeling Maximum Hail Size in Alberta Thunderstorms, Weather Forecast., 17, 1048–1062, https://doi.org/10.1175/1520-0434(2002)017&lt;1048:MMHSIA&gt;2.0.CO;2, 2002. <strong>Morrison microphysics scheme: </strong><br> Morrison, H., Thompson, G., and Tatarskii, V.: Impact of Cloud Microphysics on the Development of Trailing Stratiform Precipitation in a Simulated Squall Line: Comparison of One- and Two-Moment Schemes, Mon. Weather Rev., 137, 991–1007, https://doi.org/10.1175/2008MWR2556.1, 2009.
DOI: 10.6073/pasta/69b86ba892f302f17b4c3f654fe241fb
title: Jornada Basin LTER: Wireless meteorological station at NPP P-SMAL site: 1-hour summary data: 2013 - ongoing

description: Hourly summary data at NPP P-SMAL met station. Average/maximum/minimum air temperature; average relative humidity and wind direction; average/maximum wind speed. These are measured and calculated based on 1-second scan rate of all sensors located at an automated meteorological station installed at Jornada LTER NPP P-SMAL site. Wind speed is measured at 75 cm, 150 cm, and 300 cm, wind direction at approximately 3m, and air temperature and relative humidity at approximate 2.5m. This climate station is operated by the Jornada LTER Program. This is an ONGOING dataset.
DOI: 10.5281/zenodo.4808873
title: WRF model fields for TITAN tracking of simulated storms, P3 microphysics scheme

description: This dataset contains reflectivity and maximum hail diameter fields extracted from WRF v4.0.1 simulations, run using HAILCAST and the P3 microphysics scheme. The data is subset to the specified region of interest over Switzerland. The file 'coordinates.nc' contains the latitude/longitude coordinates for each included point, as well as global WRF attributes for the model run. Full model run details are listed in a manuscript in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). <strong>Author contributions:</strong> <br> AM configured and ran the model with input from THR, THR wrote the corresponding manuscript, OM oversaw the project. <strong>References:</strong> <strong>WRF:</strong> <br> Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and yu Huang, X.: A Description of the Advanced Research WRF Version 4, Tech. rep., National Center for Atmospheric Research, Boulder, Colorado, USA, https://doi.org/10.5065/1dfh-6p97, NCAR technical note NCAR/TN-556+STR, 2019. <strong>HAILCAST: </strong><br> Adams-Selin, R. D. and Ziegler, C. L.: Forecasting Hail Using a One-Dimensional Hail Growth Model within WRF, Mon. Weather Rev., 144, 4919–4939, https://doi.org/10.1175/MWR-D-16-0027.1, 2016.<br> Brimelow, J. C., Reuter, G. W., and Poolman, E. R.: Modeling Maximum Hail Size in Alberta Thunderstorms, Weather Forecast., 17, 1048– 1062, https://doi.org/10.1175/1520-0434(2002)017&lt;1048:MMHSIA&gt;2.0.CO;2, 2002. <strong>P3 microphysics scheme: </strong><br> Morrison, H. and Milbrandt, J. A.: Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests, J. Atmos. Sci., 72, 287–311, https://doi.org/10.1175/JAS-D-14-0065.1, 2015.
DOI: 10.5281/zenodo.4808872
title: WRF model fields for TITAN tracking of simulated storms, P3 microphysics scheme

description: This dataset contains reflectivity and maximum hail diameter fields extracted from WRF v4.0.1 simulations, run using HAILCAST and the P3 microphysics scheme. The data is subset to the specified region of interest over Switzerland. The file 'coordinates.nc' contains the latitude/longitude coordinates for each included point, as well as global WRF attributes for the model run. Full model run details are listed in a manuscript in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). <strong>Author contributions:</strong> <br> AM configured and ran the model with input from THR, THR wrote the corresponding manuscript, OM oversaw the project. <strong>References:</strong> <strong>WRF:</strong> <br> Skamarock, W. C., Klemp, J. B., Dudhia, J., Gill, D. O., Liu, Z., Berner, J., Wang, W., Powers, J. G., Duda, M. G., Barker, D., and yu Huang, X.: A Description of the Advanced Research WRF Version 4, Tech. rep., National Center for Atmospheric Research, Boulder, Colorado, USA, https://doi.org/10.5065/1dfh-6p97, NCAR technical note NCAR/TN-556+STR, 2019. <strong>HAILCAST: </strong><br> Adams-Selin, R. D. and Ziegler, C. L.: Forecasting Hail Using a One-Dimensional Hail Growth Model within WRF, Mon. Weather Rev., 144, 4919–4939, https://doi.org/10.1175/MWR-D-16-0027.1, 2016.<br> Brimelow, J. C., Reuter, G. W., and Poolman, E. R.: Modeling Maximum Hail Size in Alberta Thunderstorms, Weather Forecast., 17, 1048– 1062, https://doi.org/10.1175/1520-0434(2002)017&lt;1048:MMHSIA&gt;2.0.CO;2, 2002. <strong>P3 microphysics scheme: </strong><br> Morrison, H. and Milbrandt, J. A.: Parameterization of Cloud Microphysics Based on the Prediction of Bulk Ice Particle Properties. Part I: Scheme Description and Idealized Tests, J. Atmos. Sci., 72, 287–311, https://doi.org/10.1175/JAS-D-14-0065.1, 2015.
DOI: 10.5281/zenodo.4638486
title: Thunderstorm tracks and hail properties derived from WRF simulation data for May 2018 over Switzerland

description: Results of the TITAN thunderstorm tracking algorithm applied to weather model output from WRF model version 4.0.1. The results were produced using the code available at http://github.com/traupach/stormtrack and http://github.com/traupach/modified_LROSE_utils. Results for three microphysics schemes (Thompson, Morrison, and P3) are included. Hail results were compiled using the TITAN-defined cells and show the proportions of cell pixels that contained predicted hail sizes over certain thresholds. The hail results are saved in R rds format. Further information is shown in a paper in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). Author contributions: THR led the study and wrote the code that produced these results. AM produced and provided the WRF output data from which these results were extracted. OM oversaw the project.
DOI: 10.5281/zenodo.4638485
title: Thunderstorm tracks and hail properties derived from WRF simulation data for May 2018 over Switzerland

description: Results of the TITAN thunderstorm tracking algorithm applied to weather model output from WRF model version 4.0.1. The results were produced using the code available at http://github.com/traupach/stormtrack and http://github.com/traupach/modified_LROSE_utils. Results for three microphysics schemes (Thompson, Morrison, and P3) are included. Hail results were compiled using the TITAN-defined cells and show the proportions of cell pixels that contained predicted hail sizes over certain thresholds. The hail results are saved in R rds format. Further information is shown in a paper in the journal Geoscientific Model Development (https://gmd.copernicus.org/articles/14/6495/2021/gmd-14-6495-2021.html). Author contributions: THR led the study and wrote the code that produced these results. AM produced and provided the WRF output data from which these results were extracted. OM oversaw the project.