Clupeids and stickleback biomass, fishery landings, and hydrographic variables from the Baltic Sea Clupeids and stickleback biomass, fishery landings, and hydrographic variables from the Baltic Sea 2024-158-1 SLU.aqua.2024.5.4-181 https://doi.org/10.5878/ka8r-8e34 Swedish National Data Service Svensk nationell datatjänst Landing page Clupeids and stickleback biomass, fishery landings, and hydrographic variables from the Baltic Sea Clupeids and stickleback biomass, fishery landings, and hydrographic variables from the Baltic Sea 2024-158-1 SLU.aqua.2024.5.4-181 https://doi.org/10.5878/ka8r-8e34 10.1093/icesjms/fsae168 Donadi, Serena Donadi, Serena Kaljuste, Olavi Kaljuste, Olavi Larson, Niklas Larson, Niklas Fredriksson, Ronny Fredriksson, Ronny Erlandsson, Mårten Erlandsson, Mårten Casini, Michele Casini, Michele Olin, Agnes Olin, Agnes Eklöf, Johan Eklöf, Johan Nilsson, Jonas Nilsson, Jonas Bergström, Ulf Bergström, Ulf 2019-00310 2019-00310 2023-00297 2023-00297 1049-20 1049-20 Swedish National Data Service Svensk nationell datatjänst Landing page NUTRIENTS fishery fiskeri water temperature water salinity Hydrography Hydrografi Species distribution Arters utbredning sprat vassbuk Atlantic herring sill threespine stickleback storspigg gasterosteus aculeatus linnaeus, 1758 sprattus sprattus (linnaeus, 1758) clupea harengus linnaeus, 1758 Biota Biologi och ekologi Oceans Kust och hav Description of the data and file structure: data on fish biomass, fishery landings and hydrographic variables from the Baltic Sea. The data were used to explore the relationships between clupeids and three-spined stickleback, specifically whether reduced predation from herring and competition from both sprat and herring may have contributed to the recent increase of three-spined stickleback in the Baltic Sea. The data is structured in six separate datasets. Each record report values of fish biomass or abiotic variables related to a specific ICES statistical rectangle (ca. 55 × 55 km size, corresponding to 0.5 degrees in latitude × 1 degree in longitude) and a specific year. The datasets can be merged using the field "year" and "ICES". The files have the following dimensions: ICES_Hydrographic_data_by_year.csv, 4465 rows × 20 columns; herring_biomass.csv, 2056 rows × 5 columns; landings_herring.csv, 2867 rows × 3 columns; landings_sprat.csv, 2108 rows × 3 columns; sprat_biomass.csv, 2042 rows × 4 columns; stic Beskrivning av data och filstruktur: data om fiskbiomassa, fiskelandningar och hydrografiska variabler från Östersjön. Datan användes för att undersöka sambanden mellan sillfiskar och storspigg, särskilt om minskad predation från sill och konkurrens från både skarpsill och sill kan ha bidragit till den senaste tidens ökning av storspigg i Östersjön. See English description for more information. 2001 2019 Numeric Text The data on fish biomasses were collected via hydroacustic surveys, coupled with information on species and size distributions from trawl hauls. Commercial landings of herring and sprat expressed as tons per ICES rectangle were provided by the Scientific, Technical and Economic Committee for Fisheries (STECF, https://stecf.jrc.ec.europa.eu/dd/effort/graphs-quarter) for the years 2003–2015, and by the Joint Research Centre (JRC, https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/FAD/fdi2020/) for the years 2016–2019. Data on water temperature, salinity and nutrient concentrations for the period 2001–2019 for each ICES rectangle were extracted from Copernicus Marine Service Information. The nutrient concentration data were produced using the biogeochemical model ERGOM one-way online-coupled with the ice-ocean model system NEMO (doi.org/10.48670/moi-00012). The salinity and temperature data were produced by DMI (Danmarks Meteorologiske Institut) using NEMO (doi.org/10.48670/moi-00013). All analyses were conducted in R Statistical Software version 4.2.0 (R Development Core Team 2020). We used the mgcv package (version 1.8-40) for specifying, fitting, and visualising the GAMs (Wood 2011), and the nlme package (version 3.1-162) for fitting generalized least square models (Pinhero et al. 2016).The data on fish biomasses were collected via hydroacustic surveys, coupled with information on species and size distributions from trawl hauls. Commercial landings of herring and sprat expressed as tons per ICES rectangle were provided by the Scientific, Technical and Economic Committee for Fisheries (STECF, https://stecf.jrc.ec.europa.eu/dd/effort/graphs-quarter) for the years 2003–2015, and by the Joint Research Centre (JRC, https://jeodpp.jrc.ec.europa.eu/ftp/jrc-opendata/FAD/fdi2020/) for the years 2016–2019. Data on water temperature, salinity and nutrient concentrations for the period 2001–2019 for each ICES rectangle were extracted from Copernicus Marine Service Information. The nutrient concentration data were produced using the biogeochemical model ERGOM one-way online-coupled with the ice-ocean model system NEMO (doi.org/10.48670/moi-00012). The salinity and temperature data were produced by DMI (Danmarks Meteorologiske Institut) using NEMO (doi.org/10.48670/moi-00013). All analyses were conducted in R Statistical Software version 4.2.0 (R Development Core Team 2020). We used the mgcv package (version 1.8-40) for specifying, fitting, and visualising the GAMs (Wood 2011), and the nlme package (version 3.1-162) for fitting generalized least square models (Pinhero et al. 2016). Compilation/SynthesisCompilation/Synthesis Kompilering/SyntesKompilering/Syntes Access to data through SND. Data are freely accessible. Åtkomst till data via SND. Data är fritt tillgängliga. openAccess Serena Donadi, Agnes Olin, Michele Casini, Johan Eklöf, Mårten Erlandsson, Ronny Fredriksson, Olavi Kaljuste, Niklas Larson, Jonas Nilsson, Ulf Bergström, Reduced predation and competition from herring may have contributed to the increase of three-spined stickleback in the Baltic Sea, ICES Journal of Marine Science, 2024; fsae168, https://doi.org/10.1093/icesjms/fsae168 Serena Donadi, Agnes Olin, Michele Casini, Johan Eklöf, Mårten Erlandsson, Ronny Fredriksson, Olavi Kaljuste, Niklas Larson, Jonas Nilsson, Ulf Bergström, Reduced predation and competition from herring may have contributed to the increase of three-spined stickleback in the Baltic Sea, ICES Journal of Marine Science, 2024; fsae168, https://doi.org/10.1093/icesjms/fsae168 10.1093/icesjms/fsae168 2024