Goßmann, Isabel; Mattsson, Karin; Hassellöv, Martin; Crazzolara, Claudio; Held, Andreas; Robinson, Tiera-Brandy; Wurl, Oliver; Scholz-Böttcher, Barbara (2023): Microplastic and tire wear particle mass loads in the overlying air in Swedish fjords in 2021 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963911, In: Goßmann, I et al. (2023): Microplastic and tire wear particle mass loads in the overlying air, sea surface microlayer, and underlying water in Swedish fjords in 2021 [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.963767
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Keyword(s):
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0849C: Fluxes and Fate of Microplastics in Northern European Waters (FACTS)
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0849D: Fluxes and Fate of Microplastics in Northern European Waters (FACTS)
Coverage:
Median Latitude: 58.250379 * Median Longitude: 11.768394 * South-bound Latitude: 58.074057 * West-bound Longitude: 11.571805 * North-bound Latitude: 58.346827 * East-bound Longitude: 11.919327
Date/Time Start: 2021-09-27T08:49:19 * Date/Time End: 2021-10-02T11:51:35
Event(s):
S3_AF-03 (Fjord 2 Day 3) * Latitude Start: 58.074057 * Longitude Start: 11.816402 * Latitude End: 58.075714 * Longitude End: 11.814944 * Date/Time Start: 2021-09-29T07:36:47 * Date/Time End: 2021-09-29T14:23:27 * Location: Askeröfjorden * Method/Device: Catamaran, Sea Surface Scanner
S3_AF-04 (Fjord 2 Day 4) * Latitude Start: 58.075743 * Longitude Start: 11.814917 * Latitude End: 58.074582 * Longitude End: 11.814289 * Date/Time Start: 2021-09-30T07:32:15 * Date/Time End: 2021-09-30T12:21:50 * Location: Askeröfjorden * Method/Device: Catamaran, Sea Surface Scanner
S3_GF-05 (Fjord 3 Day 5) * Latitude Start: 58.329234 * Longitude Start: 11.571846 * Latitude End: 58.329234 * Longitude End: 11.571846 * Date/Time Start: 2021-10-01T11:30:00 * Date/Time End: 2021-10-01T13:05:00 * Location: Gullmar fjord * Method/Device: Catamaran, Sea Surface Scanner
Comment:
#9 stands for not detected
#0 stands for not quantified
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | Event label | Event | Goßmann, Isabel | |||
| 2 | Date/Time of event | Date/Time | Goßmann, Isabel | |||
| 3 | Sample code/label | Sample label | Goßmann, Isabel | |||
| 4 | Site | Site | Goßmann, Isabel | |||
| 5 | Sample type | Samp type | Goßmann, Isabel | Sample medium | ||
| 6 | Polyethylene, cluster | C-PE | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 7 | Polypropylene, cluster | C-PP | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 8 | Polyethylene terephthalate, cluster | C-PET | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 9 | Polystyrene, cluster | C-PS | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 10 | Polyvinyl chloride, cluster | C-PVC | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | interfered |
| 11 | Polycarbonate, cluster | C-PC | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 12 | Polymethylmethacrylate, cluster | C-PMMA | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 13 | Polyamide 6, cluster | C-PA6 | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 14 | Diphenylmethane diisocyanate-Polyurethane, cluster | C-MDI-PUR | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 15 | Car tire wear particles | Car TWP | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 16 | Truck tire wear particles | Truck TWP | ng/m3 | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
84 data points
Data
| 1 Event | 2 Date/Time | 3 Sample label | 4 Site | 5 Samp type | 6 C-PE [ng/m3] | 7 C-PP [ng/m3] | 8 C-PET [ng/m3] | 9 C-PS [ng/m3] | 10 C-PVC [ng/m3] | 11 C-PC [ng/m3] | 12 C-PMMA [ng/m3] | 13 C-PA6 [ng/m3] | 14 C-MDI-PUR [ng/m3] | 15 Car TWP [ng/m3] | 16 Truck TWP [ng/m3] |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| S3_UB-01 | 2021-09-27 | Fjord #1 Day 1 | Uddevalla Byfjord | Air | #0 | #9 | 25.71 | 1.15 | 298.12 | 3.13 | 18.74 | #9 | #9 | #9 | #9 |
| S3_UB-02 | 2021-09-28 | Fjord #1 Day 2 | Uddevalla Byfjord | Air | #0 | 5.05 | 8.08 | 0.04 | 51.87 | 1.11 | #0 | #9 | #9 | #9 | #9 |
| S3_AF-03 | 2021-09-29 | Fjord #2 Day 3 | Askeröfjorden | Air | #0 | #0 | 5.6 | #0 | 43.72 | 1.14 | #0 | #9 | #9 | #9 | #9 |
| S3_AF-04 | 2021-09-30 | Fjord #2 Day 4 | Askeröfjorden | Air | #0 | #9 | 10.45 | 0.28 | 125.92 | 1.87 | #0 | #9 | #9 | #9 | #9 |
| S3_GF-05 | 2021-10-01 | Fjord #3 Day 5 | Gullmar fjord | Air | #0 | #9 | #0 | #0 | #0 | 2.06 | #0 | #9 | #9 | #9 | #9 |
| S3_GF-06 | 2021-10-02 | Fjord #3 Day 6 | Gullmar fjord | Air | #0 | #9 | #0 | 0.24 | #0 | #0 | #0 | #9 | #9 | #9 | #9 |