Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ...
The ambient concentration data of ice-nucleating particles and cloud condensation nuclei was collected at two contrasting sites, one in the Southern Great Plains region of the United States with a substantial terrestrially influenced aerosol population, and one in the Eastern North Atlantic area wit...
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Online Access: | https://dx.doi.org/10.6084/m9.figshare.24199176.v1 https://figshare.com/articles/dataset/Abundance_of_ice-nucleating_particles_and_cloud_condensation_nuclei_measured_at_the_Southern_Great_Plains_and_Eastern_North_Atlantic_observatories_in_autumn_2019_and_2020/24199176/1 |
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ftdatacite:10.6084/m9.figshare.24199176.v1 2023-12-03T10:26:39+01:00 Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ... Hiranuma, Naruki 2023 https://dx.doi.org/10.6084/m9.figshare.24199176.v1 https://figshare.com/articles/dataset/Abundance_of_ice-nucleating_particles_and_cloud_condensation_nuclei_measured_at_the_Southern_Great_Plains_and_Eastern_North_Atlantic_observatories_in_autumn_2019_and_2020/24199176/1 unknown figshare https://dx.doi.org/10.6084/m9.figshare.24199176 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 Atmospheric aerosols Cloud physics dataset Dataset 2023 ftdatacite https://doi.org/10.6084/m9.figshare.24199176.v110.6084/m9.figshare.24199176 2023-11-03T11:06:33Z The ambient concentration data of ice-nucleating particles and cloud condensation nuclei was collected at two contrasting sites, one in the Southern Great Plains region of the United States with a substantial terrestrially influenced aerosol population, and one in the Eastern North Atlantic area with a primarily marine-influenced aerosol population. The 6-hour time-averaged data was collected from each site, the first from October 1 – November 15, 2019, in Oklahoma, USA, and the second from October 1, 2020 – November 30, 2020, on Graciosa Island, Azores. These datasets were collected to comprehensively understand the difference or similarity in the particle source(s) as well as aerosol-cloud interactions in the atmosphere in association with other ambient observations at these sites. For both sites, the abundance data was taken with online monitors and complementary measurements of ice-nucleating particles by means of offline droplet freezing assay. A total of 14 tabular datasets is provided (the metadata ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
unknown |
topic |
Atmospheric aerosols Cloud physics |
spellingShingle |
Atmospheric aerosols Cloud physics Hiranuma, Naruki Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ... |
topic_facet |
Atmospheric aerosols Cloud physics |
description |
The ambient concentration data of ice-nucleating particles and cloud condensation nuclei was collected at two contrasting sites, one in the Southern Great Plains region of the United States with a substantial terrestrially influenced aerosol population, and one in the Eastern North Atlantic area with a primarily marine-influenced aerosol population. The 6-hour time-averaged data was collected from each site, the first from October 1 – November 15, 2019, in Oklahoma, USA, and the second from October 1, 2020 – November 30, 2020, on Graciosa Island, Azores. These datasets were collected to comprehensively understand the difference or similarity in the particle source(s) as well as aerosol-cloud interactions in the atmosphere in association with other ambient observations at these sites. For both sites, the abundance data was taken with online monitors and complementary measurements of ice-nucleating particles by means of offline droplet freezing assay. A total of 14 tabular datasets is provided (the metadata ... |
format |
Dataset |
author |
Hiranuma, Naruki |
author_facet |
Hiranuma, Naruki |
author_sort |
Hiranuma, Naruki |
title |
Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ... |
title_short |
Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ... |
title_full |
Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ... |
title_fullStr |
Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ... |
title_full_unstemmed |
Abundance of ice-nucleating particles and cloud condensation nuclei measured at the Southern Great Plains and Eastern North Atlantic observatories in autumn 2019 and 2020 ... |
title_sort |
abundance of ice-nucleating particles and cloud condensation nuclei measured at the southern great plains and eastern north atlantic observatories in autumn 2019 and 2020 ... |
publisher |
figshare |
publishDate |
2023 |
url |
https://dx.doi.org/10.6084/m9.figshare.24199176.v1 https://figshare.com/articles/dataset/Abundance_of_ice-nucleating_particles_and_cloud_condensation_nuclei_measured_at_the_Southern_Great_Plains_and_Eastern_North_Atlantic_observatories_in_autumn_2019_and_2020/24199176/1 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
https://dx.doi.org/10.6084/m9.figshare.24199176 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.6084/m9.figshare.24199176.v110.6084/m9.figshare.24199176 |
_version_ |
1784276011172495360 |