Data · dataset · 2021
SARS-CoV-2 Wastewater Data from Stockholm, Sweden
Listed in Researchdata.se
Description
The dataset is part of a research study lead by associate professor Zeynep Cetecioglu Gurol and colleagues (KTH Royal Institute of Technology), is a collaboration between the SciLifeLab COVID-19 National Research Program and Chemical Engineering and Protein Science departments at KTH, in close collaboration with Stockholm Vatten och Avfall and the Käppala Association. The sampling of wastewater, started in mid-April 2020, from Bromma, Henriksdal, and Käppala wastewater treatment plants (WWTP).
These treatment plants receive wastewater from a population of approximately 360,000; 860,000 and 500,000, respectively. After concentration, filtering, and preparation, the samples are analyzed using RT-qPCR technique for SARS CoV-2 RNA. Primers of the nucleocapsid (N) gene were used to detect the SARS-COV-2 gene (previously used and verified by Medema and colleagues (2020) (doi.org/10.1016/j.scitotenv.2020.142939) .
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In some cases, the raw wastewater has been frozen at –20 degrees, and concentrated wastewater or purified RNA have been stored at -80 C before the next analysis step was carried out. The concentration method used by prof. Zeynep Cetecioglu Gurol and her colleagues is based on their published study (Jafferali and colleagues, 2021 (doi.org/10.1016/j.scitotenv.2020.142939) ).
The gene copy nr / week is presented standardized for Bovine coronavirus (BCoV) and Pepper Mild Mottle Virus (PPMoV) For more information see covid19dataportal.se/data_types/environment/wastewater/ The dataset started week 16 2020 and updates weekly. The dataset is available as part of the Environmental Virus Profiling data section "The amount of SARS-CoV-2 virus in wastewater across Sweden" covid19dataportal.se/data_types/environment/wastewater/#stockholm on the Swedish COVID-19 Data Portal (covid19dataportal.se ).
Links
Where it is published
- DOI doi.org/10.17044/scilifelab.14315483 ↗
DOI / persistent id · from researchdata se
Catalogue records · 1
- OAI-PMH record api.researchdata.se/oai-pmh?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai%3A… ↗
metadata API · from researchdata se
Topics
- From keywords
- Earth & Environmental Science · Medicine & Health
- Inferred from text
- Pollution and contamination 68%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| Researchdata.se | oai:researchdata.se:doi-10-17044-scilifelab-14315483/0 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].anzsrc:group:4105 | enrichment · researchdata se | taxonomy-embedding@1.1.0 | title+keywords+description (68%) |
| concepts[field].local:field:earth-environmental | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| concepts[field].local:field:medicine-health | mapping · researchdata se | connector:researchdata_se@1.0.0 | |
| description | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/description |
| license | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/rights |
| publication_date | source · researchdata se | connector:researchdata_se@1.0.0 | |
| title | source · researchdata se | connector:researchdata_se@1.0.0 | /metadata/dc/title |