Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020
These datasets contain the total particle number concentrations and normalized size distributions (dN/dlogDp) of excited, fluorescent, and hyper-fluorescent particles of sizes 0.5 to 20 μm (optical diameter). The normalized size distribution datasets are split into 20 size bins: 0.5 - 0.6 μm, 0.6 -...
Main Authors: | , , , , , , |
---|---|
Format: | Dataset |
Language: | English |
Published: |
PANGAEA
2023
|
Subjects: | |
Online Access: | https://doi.pangaea.de/10.1594/PANGAEA.961065 https://doi.org/10.1594/PANGAEA.961065 |
id |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.961065 |
---|---|
record_format |
openpolar |
institution |
Open Polar |
collection |
PANGAEA - Data Publisher for Earth & Environmental Science |
op_collection_id |
ftpangaea |
language |
English |
topic |
aerosol Arctic aerosol fluorescent aerosols MOSAiC MOSAiC_ATMOS Multidisciplinary drifting Observatory for the Study of Arctic Climate |
spellingShingle |
aerosol Arctic aerosol fluorescent aerosols MOSAiC MOSAiC_ATMOS Multidisciplinary drifting Observatory for the Study of Arctic Climate Beck, Ivo Moallemi, Alireza Rolo, Margarida Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 |
topic_facet |
aerosol Arctic aerosol fluorescent aerosols MOSAiC MOSAiC_ATMOS Multidisciplinary drifting Observatory for the Study of Arctic Climate |
description |
These datasets contain the total particle number concentrations and normalized size distributions (dN/dlogDp) of excited, fluorescent, and hyper-fluorescent particles of sizes 0.5 to 20 μm (optical diameter). The normalized size distribution datasets are split into 20 size bins: 0.5 - 0.6 μm, 0.6 - 0.72 μm, 0.72 - 0.87 μm, 0.87 - 1.05 μm, 1.05 - 1.26 μm, 1.26 - 1.51 μm, 1.51 - 1.82 μm, 1.82 - 2.19 μm, 2.19 - 2.63 μm, 2.63 - 3.16 μm, 3.16 - 3.8 μm, 3.8 - 4.57 μm, 4.57 - 5.5 μm, 5.5 - 6.61 μm, 6.61 - 7.95 μm, 7.95 - 9.56 μm, 9.56 - 11.50 μm, 11.5 - 13.83 μm, 13.83- 16.63 μm and 16.63 - 20 μm. The data were measured by a WIBS-NEO (Wideband Integrated Bioaerosol Sensor, model New Electronics option) by droplet measurement techniques ltd. The data were processed using the IGOR WIBS toolkit V1.36 (DMT) and python version 3.9.7. These datasets have been averaged to 1 hour time resolution. The datasets were cleaned from local pollution sources by applying a pollution flag developed by Beck et al. (2022a,b), which is based on the rate of change in particle number concentration with 1 min time resolution. Data points with more than 10 polluted minutes within an hour were removed from the WIBS datasets. Time periods with zero filter measurements and time periods with unstable flow that affected number concentrations have been removed from the dataset. The WIBS measures the size, asymmetry and fluorescence of particles with an optical diameter of 0.5 – 20 µm. Detected particles are excited by two UV flashlamps at wavelengths of 280 and 370 nm and their emitted fluorescence is measured by two photomultipliers with bandwidths of 310 - 400 nm, and 420 - 650 nm. The WIBS counts excited particles at a maximum frequency of 125 Hz, which corresponds to a maximum concentration of 2.5*104 particles/L with a sample flow of 0.3 L/min. Excited particles were classified as fluorescent if their fluorescent intensity exceeded the background intensity by three standard deviations (3σ) and as hyper-fluorescent if the fluorescent intensity ... |
format |
Dataset |
author |
Beck, Ivo Moallemi, Alireza Rolo, Margarida Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia |
author_facet |
Beck, Ivo Moallemi, Alireza Rolo, Margarida Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia |
author_sort |
Beck, Ivo |
title |
Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 |
title_short |
Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 |
title_full |
Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 |
title_fullStr |
Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 |
title_full_unstemmed |
Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 |
title_sort |
wideband integrated bioaerosol sensor (wibs) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dn/dlogdp) measured in the swiss container during mosaic 2019/2020 |
publisher |
PANGAEA |
publishDate |
2023 |
url |
https://doi.pangaea.de/10.1594/PANGAEA.961065 https://doi.org/10.1594/PANGAEA.961065 |
op_coverage |
MEDIAN LATITUDE: 85.756631 * MEDIAN LONGITUDE: 130.882853 * SOUTH-BOUND LATITUDE: 78.113671 * WEST-BOUND LONGITUDE: 13.055039 * NORTH-BOUND LATITUDE: 89.994623 * EAST-BOUND LONGITUDE: -145.021823 * DATE/TIME START: 2019-10-01T00:00:00 * DATE/TIME END: 2020-09-30T23:00:00 |
long_lat |
ENVELOPE(67.017,67.017,-71.033,-71.033) ENVELOPE(13.055039,-145.021823,89.994623,78.113671) |
geographic |
Arctic Beck |
geographic_facet |
Arctic Beck |
genre |
Arctic Arctic |
genre_facet |
Arctic Arctic |
op_relation |
Heutte, Benjamin; et al. (in review): Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC. Haas, Christian (2020): Master track of POLARSTERN cruise PS122/2 in 1 sec resolution (zipped, 36.7 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924672 (1 min time resolution positional data) Kanzow, Torsten (2020): Master track of POLARSTERN cruise PS122/3 in 1 sec resolution (zipped, 52 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924678 (1 min time resolution positional data) Rex, Markus (2020): Master track of POLARSTERN cruise PS122/1 in 1 sec resolution (zipped, 43.3 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924669 (1 min time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926830 (1 min time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926911 (1 min time resolution positional data) Beck, Ivo; Angot, Hélène; Baccarini, Andrea; Dada, Lubna; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Lampimäki, Markus; Bukowiecki, Nicolas; Boyer, Matthew; Gong, Xianda; Gysel-Beer, Martin; Petäjä, Tuukka; Wang, Jian; Schmale, Julia (2022): Automated identification of local contamination in remote atmospheric composition time series. Atmospheric Measurement Techniques, 15(14), 4195-4224, https://doi.org/10.5194/amt-15-4195-2022 (Beck et al. 2022a) Beck, Ivo; Quéléver, Lauriane; Laurila, Tiia; Jokinen, Tuija; Baccarini, Andrea; Angot, Hélène; Schmale, Julia (2022): Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020. PANGAEA, https://doi.org/10.1594/PANGAEA.941335 (Beck et al. 2022b) Perring, A E; Schwarz, J P; Baumgardner, D; Hernandez, M T; Spracklen, D V; Heald, C L; Gao, R S; Kok, G; McMeeking, G R; Mcquaid, Jeffrey B; Fahey, D W (2015): Airborne observations of regional variation in fluorescent aerosol across the United States. Journal of Geophysical Research: Atmospheres, 120(3), 1153-1170, https://doi.org/10.1002/2014JD022495 Savage, Nicole J; Krentz, Christine E; Könemann, Tobias; Han, Taewon T; Mainelis, Gediminas; Pöhlker, Christopher; Huffman, J Alex (2017): Systematic characterization and fluorescence threshold strategies for the wideband integrated bioaerosol sensor (WIBS) using size-resolved biological and interfering particles. Atmospheric Measurement Techniques, 10(11), 4279-4302, https://doi.org/10.5194/amt-10-4279-2017 https://doi.pangaea.de/10.1594/PANGAEA.961065 https://doi.org/10.1594/PANGAEA.961065 |
op_rights |
CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.1594/PANGAEA.96106510.1594/PANGAEA.92467210.1594/PANGAEA.92467810.1594/PANGAEA.92466910.1594/PANGAEA.92683010.1594/PANGAEA.92691110.5194/amt-15-4195-202210.1594/PANGAEA.94133510.1002/2014JD02249510.5194/amt-10-4279-2017 |
_version_ |
1802639158624124928 |
spelling |
ftpangaea:oai:pangaea.de:doi:10.1594/PANGAEA.961065 2024-06-23T07:48:49+00:00 Wideband integrated bioaerosol sensor (WIBS) excited, fluorescent, and hyper-fluorescent particle number concentrations and normalized size distributions (dN/dlogDp) measured in the Swiss container during MOSAiC 2019/2020 Beck, Ivo Moallemi, Alireza Rolo, Margarida Quéléver, Lauriane Jokinen, Tuija Laurila, Tiia Schmale, Julia MEDIAN LATITUDE: 85.756631 * MEDIAN LONGITUDE: 130.882853 * SOUTH-BOUND LATITUDE: 78.113671 * WEST-BOUND LONGITUDE: 13.055039 * NORTH-BOUND LATITUDE: 89.994623 * EAST-BOUND LONGITUDE: -145.021823 * DATE/TIME START: 2019-10-01T00:00:00 * DATE/TIME END: 2020-09-30T23:00:00 2023 application/zip, 6 datasets https://doi.pangaea.de/10.1594/PANGAEA.961065 https://doi.org/10.1594/PANGAEA.961065 en eng PANGAEA Heutte, Benjamin; et al. (in review): Measurements of aerosol microphysical and chemical properties in the central Arctic atmosphere during MOSAiC. Haas, Christian (2020): Master track of POLARSTERN cruise PS122/2 in 1 sec resolution (zipped, 36.7 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924672 (1 min time resolution positional data) Kanzow, Torsten (2020): Master track of POLARSTERN cruise PS122/3 in 1 sec resolution (zipped, 52 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924678 (1 min time resolution positional data) Rex, Markus (2020): Master track of POLARSTERN cruise PS122/1 in 1 sec resolution (zipped, 43.3 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.924669 (1 min time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/4 in 1 sec resolution (zipped, 36 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926830 (1 min time resolution positional data) Rex, Markus (2021): Master track of POLARSTERN cruise PS122/5 in 1 sec resolution (zipped, 34 MB). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.926911 (1 min time resolution positional data) Beck, Ivo; Angot, Hélène; Baccarini, Andrea; Dada, Lubna; Quéléver, Lauriane; Jokinen, Tuija; Laurila, Tiia; Lampimäki, Markus; Bukowiecki, Nicolas; Boyer, Matthew; Gong, Xianda; Gysel-Beer, Martin; Petäjä, Tuukka; Wang, Jian; Schmale, Julia (2022): Automated identification of local contamination in remote atmospheric composition time series. Atmospheric Measurement Techniques, 15(14), 4195-4224, https://doi.org/10.5194/amt-15-4195-2022 (Beck et al. 2022a) Beck, Ivo; Quéléver, Lauriane; Laurila, Tiia; Jokinen, Tuija; Baccarini, Andrea; Angot, Hélène; Schmale, Julia (2022): Pollution mask for the continuous corrected particle number concentration data in 1 min resolution, measured in the Swiss aerosol container during MOSAiC 2019/2020. PANGAEA, https://doi.org/10.1594/PANGAEA.941335 (Beck et al. 2022b) Perring, A E; Schwarz, J P; Baumgardner, D; Hernandez, M T; Spracklen, D V; Heald, C L; Gao, R S; Kok, G; McMeeking, G R; Mcquaid, Jeffrey B; Fahey, D W (2015): Airborne observations of regional variation in fluorescent aerosol across the United States. Journal of Geophysical Research: Atmospheres, 120(3), 1153-1170, https://doi.org/10.1002/2014JD022495 Savage, Nicole J; Krentz, Christine E; Könemann, Tobias; Han, Taewon T; Mainelis, Gediminas; Pöhlker, Christopher; Huffman, J Alex (2017): Systematic characterization and fluorescence threshold strategies for the wideband integrated bioaerosol sensor (WIBS) using size-resolved biological and interfering particles. Atmospheric Measurement Techniques, 10(11), 4279-4302, https://doi.org/10.5194/amt-10-4279-2017 https://doi.pangaea.de/10.1594/PANGAEA.961065 https://doi.org/10.1594/PANGAEA.961065 CC-BY-4.0: Creative Commons Attribution 4.0 International Access constraints: unrestricted info:eu-repo/semantics/openAccess aerosol Arctic aerosol fluorescent aerosols MOSAiC MOSAiC_ATMOS Multidisciplinary drifting Observatory for the Study of Arctic Climate Dataset 2023 ftpangaea https://doi.org/10.1594/PANGAEA.96106510.1594/PANGAEA.92467210.1594/PANGAEA.92467810.1594/PANGAEA.92466910.1594/PANGAEA.92683010.1594/PANGAEA.92691110.5194/amt-15-4195-202210.1594/PANGAEA.94133510.1002/2014JD02249510.5194/amt-10-4279-2017 2024-06-12T14:17:12Z These datasets contain the total particle number concentrations and normalized size distributions (dN/dlogDp) of excited, fluorescent, and hyper-fluorescent particles of sizes 0.5 to 20 μm (optical diameter). The normalized size distribution datasets are split into 20 size bins: 0.5 - 0.6 μm, 0.6 - 0.72 μm, 0.72 - 0.87 μm, 0.87 - 1.05 μm, 1.05 - 1.26 μm, 1.26 - 1.51 μm, 1.51 - 1.82 μm, 1.82 - 2.19 μm, 2.19 - 2.63 μm, 2.63 - 3.16 μm, 3.16 - 3.8 μm, 3.8 - 4.57 μm, 4.57 - 5.5 μm, 5.5 - 6.61 μm, 6.61 - 7.95 μm, 7.95 - 9.56 μm, 9.56 - 11.50 μm, 11.5 - 13.83 μm, 13.83- 16.63 μm and 16.63 - 20 μm. The data were measured by a WIBS-NEO (Wideband Integrated Bioaerosol Sensor, model New Electronics option) by droplet measurement techniques ltd. The data were processed using the IGOR WIBS toolkit V1.36 (DMT) and python version 3.9.7. These datasets have been averaged to 1 hour time resolution. The datasets were cleaned from local pollution sources by applying a pollution flag developed by Beck et al. (2022a,b), which is based on the rate of change in particle number concentration with 1 min time resolution. Data points with more than 10 polluted minutes within an hour were removed from the WIBS datasets. Time periods with zero filter measurements and time periods with unstable flow that affected number concentrations have been removed from the dataset. The WIBS measures the size, asymmetry and fluorescence of particles with an optical diameter of 0.5 – 20 µm. Detected particles are excited by two UV flashlamps at wavelengths of 280 and 370 nm and their emitted fluorescence is measured by two photomultipliers with bandwidths of 310 - 400 nm, and 420 - 650 nm. The WIBS counts excited particles at a maximum frequency of 125 Hz, which corresponds to a maximum concentration of 2.5*104 particles/L with a sample flow of 0.3 L/min. Excited particles were classified as fluorescent if their fluorescent intensity exceeded the background intensity by three standard deviations (3σ) and as hyper-fluorescent if the fluorescent intensity ... Dataset Arctic Arctic PANGAEA - Data Publisher for Earth & Environmental Science Arctic Beck ENVELOPE(67.017,67.017,-71.033,-71.033) ENVELOPE(13.055039,-145.021823,89.994623,78.113671) |