https://researchdata.se/sv/catalogue Search results sv A dataset covering spatiotemporal variation in eukaryotic microbial communities and physicochemical parameters of the Baltic Sea. Between January 2019 and February 2020, 281 transect-time course samples and 65 samples for protocol testing were collected from 19 stations in the Baltic Sea, Kattegat and Skagerrak. We analysed the samples with 18S ribosomal RNA (rRNA) gene and 16S rRNA gene metabarcoding, to capture the eukaryotic and prokaryotic diversity, respectively. Note that this resource was previously published as 'Metadata-only'. This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/). Tue, 20 Jun 2023 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/gbif-sweden-10-15468-cwjstg https://researchdata.se/sv/catalogue/dataset/gbif-sweden-10-15468-cwjstg Kungliga Tekniska högskolan Meike Latz Agneta Andersson Sonie Brugel Mikael Hedblom Krzysztof Jurdzinski Bengt Karlson Markus Lindh Jenny Lycken Anders Andersson A dataset covering spatiotemporal variation in prokaryotic and eukaryotic microbial communities and physicochemical parameters of the Baltic Sea. Between January 2019 and February 2020, 281 transect-time course samples and 65 samples for protocol testing were collected from 19 stations in the Baltic Sea, Kattegat and Skagerrak. We analysed the samples with 18S ribosomal RNA (rRNA) gene and 16S rRNA gene metabarcoding, to capture the eukaryotic and prokaryotic diversity, respectively. Note that this resource was previously published as 'Metadata-only'. This dataset was published via the SBDI ASV portal (https://asv-portal.biodiversitydata.se/). Tue, 20 Jun 2023 00:00:00 GMT https://researchdata.se/sv/catalogue/dataset/gbif-sweden-10-15468-vrxhxe https://researchdata.se/sv/catalogue/dataset/gbif-sweden-10-15468-vrxhxe Kungliga Tekniska högskolan Meike Latz Agneta Andersson Sonie Brugel Mikael Hedblom Krzysztof Jurdzinski Bengt Karlson Markus Lindh Jenny Lycken Anders Torstenson Anders Andersson