Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Dataset Open Access |
| Language: | en |
| Published: |
PANGAEA
2024
|
| Subjects: | |
| Online Access: | https://doi.org/10.1594/PANGAEA.972145 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1867171044934025216 |
|---|---|
| author | Glippa, Olivier Engström-Öst, Jonna Kanerva, Mirella Rein, Anni Vuori, Kristiina |
| author_facet | Glippa, Olivier Engström-Öst, Jonna Kanerva, Mirella Rein, Anni Vuori, Kristiina |
| collection | Datos científicos de ciencias marinas y ambientales |
| contents | We based our study on one of the most abundant zooplankton species Acartia bifilosa, which were collected from different depths (according to the depth of maximum copepod abundance) and times of day (night and day) during a two-week field survey in the western Gulf of Finland. We measured different biomarkers to reveal potential relationships between copepod antioxi dant defense, oxidative stress and the environmental condition (Chl a, pH, DIC, salinity, temperature) at different depth. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were provided by the author of the related paper (see Related to) to the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-09-02. |
| format | Dataset Open Access |
| id | pangaea_https___doi_org_10_1594_PANGAEA_972145 |
| institution | PANGAEA |
| language | en |
| publishDate | 2024 |
| publisher | PANGAEA |
| record_format | pangaea |
| spellingShingle | Seawater carbonate chemistry and oxidative stress level and antioxidant responses in the planktonic copepod of the genus Acartia Glippa, Olivier Engström-Öst, Jonna Kanerva, Mirella Rein, Anni Vuori, Kristiina Acartia bifilosa; Acartia tonsa; Alkalinity, total; Animalia; Aragonite saturation state; Arthropoda; Baltic Sea; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Catalase activity, per protein mass; Coast and continental shelf; DEPTH, water; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glutathione, oxidized; Glutathione, total; Glutathione reductase, per protein mass; Glutathione S-transferase, activity per protein mass; Lipid peroxidation, in cumene-hydroperoxide equivalents; Local Time; Number; OA-ICC; Ocean acidification; Ocean Acidification International Coordination Centre; Other metabolic rates; Oxygen; Oxygen, standard deviation; Oxygen reactive absorbance capacity, in Trolox Equivalents; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH, NBS scale; pH, total scale; Salinity; Salinity, standard deviation; Sampling date; Single species; Species; Storfjarden; Superoxide dismutase activity, inhibition; Temperate; Temperature, water; Temperature, water, standard deviation; Type of study; Zooplankton We based our study on one of the most abundant zooplankton species Acartia bifilosa, which were collected from different depths (according to the depth of maximum copepod abundance) and times of day (night and day) during a two-week field survey in the western Gulf of Finland. We measured different biomarkers to reveal potential relationships between copepod antioxi dant defense, oxidative stress and the environmental condition (Chl a, pH, DIC, salinity, temperature) at different depth. This dataset is included in the OA-ICC data compilation maintained in the framework of the IAEA Ocean Acidification International Coordination Centre (see https://oa-icc.ipsl.fr). Original data were provided by the author of the related paper (see Related to) to the OA-ICC data curator. In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2024) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2024-09-02. |
| title | Seawater carbonate chemistry and oxidative stress level and antioxidant responses in the planktonic copepod of the genus Acartia |
| topic | Acartia bifilosa; Acartia tonsa; Alkalinity, total; Animalia; Aragonite saturation state; Arthropoda; Baltic Sea; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Catalase activity, per protein mass; Coast and continental shelf; DEPTH, water; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glutathione, oxidized; Glutathione, total; Glutathione reductase, per protein mass; Glutathione S-transferase, activity per protein mass; Lipid peroxidation, in cumene-hydroperoxide equivalents; Local Time; Number; OA-ICC; Ocean acidification; Ocean Acidification International Coordination Centre; Other metabolic rates; Oxygen; Oxygen, standard deviation; Oxygen reactive absorbance capacity, in Trolox Equivalents; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH, NBS scale; pH, total scale; Salinity; Salinity, standard deviation; Sampling date; Single species; Species; Storfjarden; Superoxide dismutase activity, inhibition; Temperate; Temperature, water; Temperature, water, standard deviation; Type of study; Zooplankton |
| url | https://doi.org/10.1594/PANGAEA.972145 |