Dataset on seston and zooplankton fatty-acid compositions, zooplankton and phytoplankton biomass, and environmental conditions of coastal and offshore waters of the northern Baltic Sea
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作者:
Bandara, Tharindu
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机构:
Umea Univ, Dept Ecol & Environm Sci, S-90187 Umea, Sweden
Uva Wellassa Univ, Fac Anim Sci & Export Agr, Dept Anim Sci, Passara Rd, Badulla 90000, Sri LankaUmea Univ, Dept Ecol & Environm Sci, S-90187 Umea, Sweden
Eurytemora affinis;
Cladocerans;
Dha;
Epa;
Food web quality;
DHA;
EPA;
D O I:
10.1016/j.dib.2022.108158
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
We analyzed the taxonomic and fatty-acid (FA) compositions of phytoplankton and zooplankton, and the environmental conditions at three coastal and offshore stations of the northern Baltic Sea. Plankton samples for FA analyses were collected under the framework of sampling campaigns of the Swedish National Marine Monitoring program in September 2017. Monitoring data of phytoplankton and zooplankton biomass, and environmental variables at each station were extracted from the Swedish Meteorological and Hydrological Institute database (https://sharkweb.smhi.se/). Monthly phytoplankton biomass at each station in July-September 2017 was aggregated by class (i.e., chyrsophytes, cryptophytes, dinoflagellates, diatoms, euglenophytes, cyanobacteria, etc.). Zooplankton biomass in September 2017 was aggregated by major taxa (i.e., Acartia sp. [Calanoida], Eurytemora affinis [Calanoida], Cladocera, Limnocalanus macrurus and other copepods (i.e. excluding Eurytemora and Acartia)). Environmental variables monthly monitored in January-October 2017 included salinity, concentrations of dissolved organic carbon, humic substances, total nitrogen and total phosphorus. These variables were measured from 0 to 10 m depth below water surface, and the depth-integrated averages were used for data analyses. Seston and zooplankton (Eurytemora affinis, Acartia sp. and Cladocera) FA compositions were analyzed using gas chromatography and mass spectroscopy (GC-MS). Our dataset could provide new insights into how taxonomic composition and biochemical quality of the planktonic food chains change with the environmental conditions in subarctic marine ecosystems. (C) 2022 The Authors. Published by Elsevier Inc.
机构:
Univ Sains Malaysia, Sch Biol Sci, George Town 11800, Malaysia
Univ Sains Malaysia, Ctr Marine & Coastal Studies CEMACS, George Town 11800, Malaysia
Univ Sains Malaysia, River Engn & Urban Drainage Ctr REDAC, Nibong Tebal 14300, Penang, MalaysiaUniv Sains Malaysia, Sch Biol Sci, George Town 11800, Malaysia
Maznah, Wan W. O.
Kassim, Nur Ain
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Univ Sains Malaysia, Sch Biol Sci, George Town 11800, MalaysiaUniv Sains Malaysia, Sch Biol Sci, George Town 11800, Malaysia
Kassim, Nur Ain
Din, Zubir
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机构:
Univ Sains Malaysia, Sch Biol Sci, George Town 11800, MalaysiaUniv Sains Malaysia, Sch Biol Sci, George Town 11800, Malaysia