Goßmann, Isabel; Süßmuth, Rebecca; Scholz-Böttcher, Barbara (2023): Microplastic including tire wear particles in urban air measured in spider webs in Oldenburg, Germany, in 2020 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.963757
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Published: 2023-12-18 • DOI registered: 2024-01-16
Abstract:
This data set presents microplastic (MP) mass loads including tire wear particles (TWP) in spider webs collected from bus stops in a mid-sized German city. Spider webs were used as a spatial and temporal mirror of MP contamination in urban air. The analysis was conducted with pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS). Details concerning the measurements, quantification, and calibration are found in the related study (Goßmann et al., 2022). Spider webs were greatly contaminated with TWP, clusters of polyethylene-terephthalate (C-PET) and polyvinylchloride (C-PVC). Moreover, they provide insight into spatial differences and trends of MP/TWP load in local (urban) air on a small scale. While busy, stop and go dominated roads showed higher contamination of TWP, spider webs from residential areas were more often contaminated with MP other than TWP, predominantly C-PET. In some spider webs, MP accounted for up to ten percent of the total weight of the sample.
Keyword(s):
Related to:
Goßmann, Isabel; Süßmuth, Rebecca; Scholz-Böttcher, Barbara (2022): Plastic in the air?! - Spider webs as spatial and temporal mirror for microplastics including tire wear particles in urban air. Science of the Total Environment, 832, 155008, https://doi.org/10.1016/j.scitotenv.2022.155008
Project(s):
Funding:
Federal Ministry of Education and Research (BMBF), grant/award no. 03F0849C: Fluxes and Fate of Microplastics in Northern European Waters (FACTS)
Coverage:
Median Latitude: 53.136895 * Median Longitude: 8.169582 * South-bound Latitude: 53.102848 * West-bound Longitude: 8.104062 * North-bound Latitude: 53.171670 * East-bound Longitude: 8.203314
Date/Time Start: 2020-03-16T00:00:00 * Date/Time End: 2020-06-28T00:00:00
Event(s):
2020_A-A1 (A-A1) * Latitude: 53.171670 * Longitude: 8.194705 * Date/Time: 2020-03-23T00:00:00 * Location: Oldenburg, Germany * Method/Device: Wooden tooth pick * Comment: Street name: Alexanderstraße
Comment:
#9.0 stands for not detected
#0.0 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 | Latitude of event | Latitude | Goßmann, Isabel | |||
| 4 | Longitude of event | Longitude | Goßmann, Isabel | |||
| 5 | Sample type | Samp type | Goßmann, Isabel | Sample medium | ||
| 6 | Car tire wear particles | Car TWP | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 7 | Truck tire wear particles | Truck TWP | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 8 | Polyethylene, cluster | C-PE | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 9 | Polypropylene, cluster | C-PP | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 10 | Polyethylene terephthalate, cluster | C-PET | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 11 | Polystyrene, cluster | C-PS | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 12 | Polyvinyl chloride, cluster | C-PVC | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 13 | Polymethylmethacrylate, cluster | C-PMMA | μg/mg | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | |
| 14 | Sum | Sum | Goßmann, Isabel | Pyrolysis-gas chromatography-mass spectrometry (Py-GC/MS) | sum of all contaminants, μg/mg |
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:
150 data points
Data
| 1 Event | 2 Date/Time | 3 Latitude | 4 Longitude | 5 Samp type | 6 Car TWP [μg/mg] | 7 Truck TWP [μg/mg] | 8 C-PE [μg/mg] | 9 C-PP [μg/mg] | 10 C-PET [μg/mg] | 11 C-PS [μg/mg] | 12 C-PVC [μg/mg] | 13 C-PMMA [μg/mg] | 14 Sum |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020_A-A1 | 2020-03-23 | 53.1717 | 8.1947 | Spider web | 2.8 | 0.1 | 12.8 | 0.2 | 9.6 | 0.4 | 36.0 | 3.9 | 65.7 |
| 2020_A-B1 | 2020-03-23 | 53.1694 | 8.1973 | Spider web | 1.9 | 0.5 | 15.3 | 0.2 | 8.0 | 0.3 | 21.7 | 1.7 | 49.7 |
| 2020_A-C1 | 2020-03-23 | 53.1633 | 8.2033 | Spider web | 0.6 | 0.1 | 13.3 | 0.2 | 4.6 | 0.1 | 40.0 | 0.7 | 59.6 |
| 2020_B-A1 | 2020-03-23 | 53.1706 | 8.1900 | Spider web | #9.0 | 0.1 | 13.1 | 0.1 | 3.2 | 0.1 | 6.7 | 0.1 | 23.4 |
| 2020_B-B1 | 2020-03-17 | 53.1685 | 8.1847 | Spider web | #9.0 | 0.5 | 16.1 | 0.1 | 1.3 | 0.2 | 3.6 | 0.4 | 22.2 |
| 2020_B-C1 | 2020-03-17 | 53.1651 | 8.1810 | Spider web | 1.1 | 0.3 | 41.2 | 0.1 | 4.2 | 0.4 | 9.7 | 2.1 | 59.1 |
| 2020_B-D1 | 2020-03-18 | 53.1618 | 8.1785 | Spider web | 1.3 | 0.1 | 98.0 | 0.1 | 2.9 | 0.4 | 5.1 | #9.0 | 107.9 |
| 2020_H-A1 | 2020-03-16 | 53.1188 | 8.1916 | Spider web | 2.2 | 0.1 | 25.5 | 0.3 | 3.7 | 0.4 | 35.1 | 8.4 | 75.7 |
| 2020_H-A2 | 2020-04-23 | 53.1188 | 8.1916 | Spider web | 1.4 | 0.1 | 24.7 | 0.2 | 3.7 | 0.2 | 31.6 | 7.4 | 69.2 |
| 2020_H-A3 | 2020-06-28 | 53.1188 | 8.1916 | Spider web | #9.0 | #9.0 | 2.8 | 0.1 | 2.8 | 0.1 | 16.1 | 8.3 | 30.1 |
| 2020_H-B2 | 2020-04-23 | 53.1090 | 8.1636 | Spider web | 1.0 | #0.0 | 1.2 | #9.0 | 5.0 | 0.2 | 6.2 | 1.3 | 14.9 |
| 2020_H-B3 | 2020-06-28 | 53.1090 | 8.1636 | Spider web | 1.4 | 0.1 | 5.4 | 0.1 | 2.1 | 0.3 | 4.8 | 0.9 | 15.2 |
| 2020_H-C1 | 2020-03-16 | 53.1028 | 8.1041 | Spider web | #9.0 | #9.0 | 0.6 | 0.1 | 1.6 | 0.3 | 8.4 | 0.5 | 11.4 |
| 2020_H-C2 | 2020-04-23 | 53.1028 | 8.1041 | Spider web | 1.2 | 0.1 | 1.4 | 0.1 | 6.0 | 0.2 | 13.9 | 2.8 | 25.5 |
| 2020_H-C3 | 2020-06-28 | 53.1028 | 8.1041 | Spider web | 2.6 | 0.1 | 13.1 | 0.2 | 2.4 | 0.4 | 10.0 | #0.0 | 28.7 |