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  • 1
    Publication Date: 2023-03-16
    Description: Gene expression profile from gill and muscle tissue samples. Juvenile abalones were exposed to a temperature ramp (+3 °C day−1) under hypoxia (50% air saturation) and hypercapnia (~1000 μatm pCO2), both individually and in combination. Experiments are denoted as control (warming under normoxic normocapnia), hypoxia (warming under hypoxic normocapnia), hypercapnia (warming under normoxic hypercapnia, and combined (warming under hypoxic hypercapnia). The table is arranged to be used with the R package MCMC.qPCR (Matz et al., 2013).
    Type: Dataset
    Format: application/zip, 31.3 kBytes
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  • 2
    Publication Date: 2023-04-01
    Description: We applied metagenomic shotgun sequencing to a sedimentary ancient DNA (sedaDNA) record from the North Pacific (off Kamchatka) covering the last 20,000 years to trace temporal changes in ecosystem composition and food webs. This dataset contains count data before re-sampling for (1) phototrophic bacterial and eukaryotic pelagic families, (2) and eukaryotic benthic families, and (3) a list of families, their grouping into habitat (pelagic/benthic) and trophic status (phototrophic/heterotrophic), the taxonomic group to which the family belongs, the resampled number of read counts used for the formal analysis, links (edges) in the pelagic network, and Spearman correlation coefficients (ρ〉0.2) and Benjamini-Hochberg adjusted p-values between families and environmental variables (SSTs and IP25). Associated sequencing data, on which the taxonomic classifications are based on, can be found at the European Nucleotide Archive (ENA) under BIOPROJECT: PRJEB46821.
    Keywords: AWI_Envi; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 3
    Publication Date: 2023-06-27
    Keywords: Algae & Protists; AWI_Envi; Calculated; Coefficient; Counts; Ecology & Environment; Family; Habitat; IP25 adjusted p-value; IP25 Spearman's rho; KALMAR II; Kronotsky Peninsula; Number; PC; Piston corer; Polar Terrestrial Environmental Systems @ AWI; p-value; SO201/2; SO201-2-12KL; Sonne; SST adjusted p-value; SST Spearman's rho; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 1277 data points
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  • 4
    Publication Date: 2023-08-02
    Keywords: Acanthasteridae; Acroporidae; Actiniidae; Agaraceae; AGE; Aglajidae; Aiptasiidae; Alariaceae; Alcyoniidae; Algae & Protists; Allocrangonyctidae; Ammotheidae; Ampullariidae; Aplysiidae; Aporocotylidae; Arcidae; Ascidiidae; Asellidae; Asteriidae; Asterinidae; AWI_Envi; Balanidae; Bangiaceae; Batrachospermaceae; Boldiaceae; Buccinidae; Camaenidae; Capitellidae; Cardiidae; Ceramiaceae; Cercomonadidae; Champiaceae; Chordaceae; Chordariaceae; Cionidae; Clausiliidae; Comatulidae; Conidae; Corallinaceae; Cyanidiaceae; Cypridinidae; Daphniidae; Dasyaceae; Delesseriaceae; Dictyotaceae; Didiniidae; Dixoniellaceae; Dugesiidae; Echinometridae; Ecology & Environment; Ectocarpaceae; Edwardsiidae; Endocladiaceae; Erythrotrichiaceae; Fucaceae; Galaxauraceae; Gelidiaceae; Gigartinaceae; Gracilariaceae; Haliotidae; Halymeniaceae; Harpacticidae; Hildenbrandiaceae; Holostichidae; Hyalellidae; Hyalidae; Hydractiniidae; Kallymeniaceae; KALMAR II; Kronotsky Peninsula; Laminariaceae; Laqueidae; Lessoniaceae; Liagoraceae; Limulidae; Lingulidae; Littorinidae; Lottiidae; Lumbricidae; Lymnaeidae; Lysianassidae; Macrostomidae; Mactridae; Maldanidae; Mastigamoebidae; Megascolecidae; Merulinidae; Molgulidae; Muricidae; Mytilidae; Nephropidae; Nephtheidae; Nereididae; Niphatidae; Oikopleuridae; Ostreidae; Oxystominidae; Palaemonidae; Palmariaceae; Parastacidae; PC; Pectinidae; Penaeidae; Peyssonneliaceae; Philasteridae; Philodinidae; Phyllophoraceae; Piston corer; Pocilloporidae; Polar Terrestrial Environmental Systems @ AWI; Pollicipedidae; Porphyridiaceae; Portunidae; Priapulidae; Protaspidae; Pteriidae; Pterocladiaceae; Pyuridae; Raperosteliaceae; Rhodochaetaceae; Rhodogorgonaceae; Rhodomelaceae; Rhodymeniaceae; Rhytididae; Rossellidae; Sargassaceae; Scalibregmatidae; Schizymeniaceae; Scytosiphonaceae; Sebdeniaceae; Serpulidae; Sertulariidae; Shotgun counts; Siboglinidae; SO201/2; SO201-2-12KL; Solecurtidae; Solieriaceae; Sonne; Spionidae; Stichopodidae; Strongylocentrotidae; Styelidae; Stylonemataceae; Suberitidae; Tellinidae; Tetragonicipitidae; Trichoplacidae; Unionidae; Varunidae; Veneridae; Vesicomyidae; Wrangeliaceae; Zosteraceae
    Type: Dataset
    Format: text/tab-separated-values, 3525 data points
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  • 5
    Publication Date: 2023-07-10
    Keywords: Acanthocerataceae; Acartiidae; Acaryochloridaceae; Acipenseridae; Adinetidae; AGE; Algae & Protists; Amoebophryaceae; Amphipleuraceae; Anarhichadidae; Anaulaceae; Anguillidae; Anomoeoneidaceae; Aphanizomenonaceae; Aphanothecaceae; Apogonidae; Apusomonadidae; Asellidae; Attheyaceae; AWI_Envi; Bacillariaceae; Balaenidae; Balaenopteridae; Bathycoccaceae; Batrachoididae; Biddulphiaceae; Blenniidae; Bovichtidae; Brachionidae; Bracteacoccaceae; Bryopsidaceae; Calanidae; Callorhinchidae; Calotrichaceae; Carangidae; Carcharhinidae; Caulerpaceae; Chaetocerotaceae; Chaetophoraceae; Chamaesiphonaceae; Channichthyidae; Characeae; Chattonellaceae; Chlamydomonadaceae; Chlorellaceae; Chlorobiaceae; Chlorococcaceae; Chlorocystidaceae; Chlorodendraceae; Chloroflexaceae; Chloropicaceae; Chromeraceae; Chromulinaceae; Chroococcaceae; Chroococcidiopsidaceae; Chroomonadaceae; Chrysochromulinaceae; Cirratulidae; Closteriaceae; Clupeidae; Codiaceae; Coelacanthidae; Coleochaetaceae; Coleofasciculaceae; Collodictyonidae; Collophidiidae; Collosphaeridae; Collozoidae; Coscinodiscaceae; Cottidae; Cryptomonadaceae; Cyaneidae; Cyanidiaceae; Cyanophoraceae; Cyanothecaceae; Cyclopettidae; Cyclopteridae; Cymatosiraceae; Delphinidae; Dermocarpellaceae; Desmidiaceae; Diplonemidae; Dunaliellaceae; Ebriacea; Ecology & Environment; Eirenidae; Engraulidae; Entomoneidaceae; Eucalanidae; Euglenaceae; Eunotiaceae; Euphausiidae; Euplotidae; Eustigmataceae; Fonticulaceae; Fragilariaceae; Fundulidae; Gadidae; Gasterosteidae; Geminigeraceae; Ginglymostomatidae; Glaucocystaceae; Globorotaliidae; Gloeobacteraceae; Gloeochaetaceae; Gloeomargaritaceae; Gobiidae; Golenkiniaceae; Gomontiellaceae; Gomphonemataceae; Gonatozygaceae; Gonyaulacaceae; Gymnodiniaceae; Haematococcaceae; Halimedaceae; Hapalosiphonaceae; Heliobacteriaceae; Heliopeltaceae; Hemiaulaceae; Hemidiscaceae; Hemiselmidaceae; Heterocapsaceae; Hexamitidae; Histionidae; Holocentridae; Hydridae; Hydrodictyaceae; Hyellaceae; Isochrysidaceae; Jakobidae; KALMAR II; Kareniaceae; Klebsormidiaceae; Koliellaceae; Kronotsky Peninsula; Kryptoperidiniaceae; Lateolabracidae; Leptocylindraceae; Leptolyngbyaceae; Licmophoraceae; Lipotidae; Lithodesmiaceae; Mallomonadaceae; Mamiellaceae; Merismopediaceae; Mesodiniidae; Mesotaeniaceae; Metopidae; Metridinidae; Microcoleaceae; Microcystaceae; Microsporaceae; Microthamniaceae; Moinidae; Monodontidae; Monodopsidaceae; Monomastigaceae; Mustelidae; Mychonastaceae; Myctophidae; Myxinidae; Naviculaceae; Nephroselmidaceae; Noelaerhabdaceae; Nostocaceae; Octopodidae; Oculatellaceae; Odobenidae; Oedogoniaceae; Oithonidae; Oocystaceae; Oscillatoriaceae; Osmeridae; Ostreobiaceae; Otariidae; Oxytrichidae; Palmellaceae; Palmophyllaceae; Paralichthyidae; Parameciidae; Paulinellidae; Pavlovaceae; PC; Pedinomonadaceae; Pelagiidae; Perkinsidae; Petromyzontidae; Pfiesteriaceae; Phacaceae; Phaeocystaceae; Phaeodactylaceae; Phocidae; Phocoenidae; Physeteridae; Piston corer; Plagiogrammaceae; Pleurastraceae; Pleuronectidae; Pleurosigmataceae; Polar Terrestrial Environmental Systems @ AWI; Polynoidae; Prasinococcaceae; Prasiolaceae; Prochloraceae; Prochlorotrichaceae; Prorocentraceae; Protoperidiniaceae; Prymnesiaceae; Pseudanabaenaceae; Pycnococcaceae; Pyramimonadaceae; Pyrenomonadaceae; Pyrocystaceae; Radiococcaceae; Rajidae; Rhincodontidae; Rhizosoleniaceae; Rivulariaceae; Roseiflexaceae; Rotaliidae; Sagittidae; Salmonidae; Salpingoecidae; Sarcinofilaceae; Scenedesmaceae; Sciaenidae; Scyliorhinidae; Scytonemataceae; Sebastidae; Selenastraceae; Serranidae; Shotgun counts; Siphonocladaceae; Skeletonemataceae; SO201/2; SO201-2-12KL; Sonne; Sparidae; Sphaeropleaceae; Sphaerozoidae; Staurosiraceae; Stephanodiscaceae; Stephanoecidae; Sticholonchidae; Stigonemataceae; Strombidiidae; Suessiaceae; Symbiodiniaceae; Syndiniaceae; Synechococcaceae; Syngnathidae; Temoridae; Terebellidae; Tetrahymenidae; Tetraodontidae; Thalassiosiraceae; Thaumatomastigidae; Thraustochytriaceae; Tolypothrichaceae; Toxariaceae; Trebouxiaceae; Triceratiaceae; Trichiuridae; Triparmaceae; Ulmaridae; Ulnariaceae; Ulotrichaceae; Ulvaceae; Uronemataceae; Vacuolariaceae; Vahlkampfiidae; Volvocaceae; Zygnemataceae
    Type: Dataset
    Format: text/tab-separated-values, 6500 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Harms, Lars; Frickenhaus, Stephan; Schiffer, Melanie; Mark, Felix Christopher; Storch, Daniela; Held, Christoph; Pörtner, Hans-Otto; Lucassen, Magnus (2014): Gene expression profiling in gills of the great spider crab Hyas araneus in response to ocean acidification and warming. BMC Genomics, BMC Genomics, 15(1), 789, https://doi.org/10.1186/1471-2164-15-789
    Publication Date: 2023-09-28
    Description: Hypercapnia and elevated temperatures resulting from climate change may have adverse consequences for many marine organisms. While diverse physiological and ecological effects have been identified, changes in those molecular mechanisms, which shape the physiological phenotype of a species and limit its capacity to compensate, remain poorly understood. Here, we use global gene expression profiling through RNA-Sequencing to study the transcriptional responses to ocean acidification and warming in gills of the boreal spider crab Hyas araneus exposed medium-term (10 weeks) to intermediate (1,120 µatm) and high (1,960 µatm) PCO2 at different temperatures (5°C and 10°C). The analyses reveal shifts in steady state gene expression from control to intermediate and from intermediate to high CO2 exposures. At 5°C acid-base, energy metabolism and stress response related genes were upregulated at intermediate PCO2, whereas high PCO2 induced a relative reduction in expression to levels closer to controls. A similar pattern was found at elevated temperature (10°C). There was a strong coordination between acid-base, metabolic and stress-related processes. Hemolymph parameters at intermediate PCO2 indicate enhanced capacity in acid-base compensation potentially supported by upregulation of a V-ATPase. The likely enhanced energy demand might be met by the upregulation of the electron transport system (ETS), but may lead to increased oxidative stress reflected in upregulated antioxidant defense transcripts. These mechanisms were attenuated by high PCO2, possibly as a result of limited acid-base compensation and metabolic down-regulation. Our findings indicate a PCO2 dependent threshold beyond which compensation by acclimation fails progressively. They also indicate a limited ability of this stenoecious crustacean to compensate for the effects of ocean acidification with and without concomitant warming.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 115.3 kBytes
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  • 7
    Publication Date: 2023-11-23
    Description: Southern Ocean organisms are thought to be particularly vulnerable to ocean acidification, as they inhabit cold waters where calcite-aragonite saturation states are naturally low. It is also generally assumed that calcifying animals would be more affected by ocean acidification than non-calcifying ones. In this context, we aimed to study the impacts of reduced pH on the ascidia Cnemidocarpa verrucosa sp. A. Here, we used gene expression profiling and enzymatic activity to study the responses of that Antarctic benthic species to ocean acidification. We sampled Cnemidocarpa verrucosa sp. A. by scuba diving at approximately 15 m depth at Carlini station, Potter Cove, King George Island, Antarctica. Superoxide dismutase (SOD) activity was measured in the ascidia, samples (approximately 70 mg of brachial basket) were homogenized in 20 mM Tris-HCl, 1 mM EDTA, pH 7.6, with a ratio 1:4 w/v. Homogenates were centrifuged at 14,000 x g for 3 min at 4°C and the supernatant was used to measure SOD activity at 20°C following Livingstone et al. (1992) protocol. Supernatant was mixed with the measurement buffer (43 mM K₂HPO₄, 43 mM KH₂PO₄, 0.1 mM EDTA, pH 7.68), 5 mM Xanthina (Sigma X-0626), 100 µM Citocromo-C (Sigma C-2037), 0.3 mU/µl XOD (Xanthin-Oxidasa, Sigma X-4875) in 2 M (NH₄)2SO₄. The measurement was made in a photometer at 20°C, 550 nm wavelength, for 3 minutes, every 10 seconds. For the calculations, the total protein content of the samples was measured using the method of Bradford (1976). Superoxide dismutase activity was expressed in activity in the extract (mU) / amount of protein (mg). All measurements were made in triplicate.
    Keywords: Ant_PotterCove_2015; Antarctica; apoptosis; Apoptotic activity, per protein; Background corrected; Calculated average/mean values; Caspase; Cnemidocarpa verrucosa sp. A; Date/time end, experiment; Date/time start, experiment; DIVER; Event label; laboratory study; Potter Cove; Potter Cove, King George Island, Antarctic Peninsula; Sample code/label; Sampling by diver; Species; Spectrophotometer UV/Vis, Beckman Coulter, DU800; Superoxide Dismutase; Temperature, water; Treatment; Tunicata; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 476 data points
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  • 8
    Publication Date: 2023-11-23
    Description: Southern Ocean organisms are thought to be particularly vulnerable to ocean acidification, as they inhabit cold waters where calcite-aragonite saturation states are naturally low. It is also generally assumed that calcifying animals would be more affected by ocean acidification than non-calcifying ones. In this context, we aimed to study the impacts of reduced pH on the ascidia Cnemidocarpa verrucosa sp. A. Here, we used gene expression profiling and enzymatic activity to study the responses of that Antarctic benthic species to ocean acidification. We sampled Cnemidocarpa verrucosa sp. A. by scuba diving at approximately 15 m depth at Carlini station, Potter Cove, King George Island, Antarctica. Caspases 3/7 activity as indicators of apoptosis intensity was measured using the Caspase-Glow 3/7 Assay kit (Promega, USA) following the manufacturer's instructions. Samples were homogenized (16-33 mg) in lysis buffer consisting in 25 mM HEPES, 5 mM MgCl₂·6H₂O, 1 mM EGTA, 1 μg/mL pepstatin, 1 μg/mL leupectin, and 1 μg/mL aprotinin at a ratio 1:100 (Rivera-Ingraham et al., 2013) using a Precellys homogenizer (2 cycles at 5,500 x g at 4°C for 20 s). Homogenates were centrifuged at 13,000 x g at 4°C for 15 min and the supernatant was used to measure luminescence using Tristar LB941 plate reader (Berthold Technologies GmbH & Co. KG, Bad Wildbad, Germany). The total protein content of the samples was measured using the method of Bradford (1976). Caspase/Apoptotic activity was expressed as relative light units (RLU) per μg of protein × 104.
    Keywords: Ant_PotterCove_2015; Antarctica; apoptosis; Bradford method (1976); Buffer; Calculated; Calculated average/mean values; Caspase; Change of extinction; Cnemidocarpa verrucosa, superoxide dismutase, in extract; Cnemidocarpa verrucosa, superoxide dismutase, per protein mass; Cnemidocarpa verrucosa, superoxide dismutase, per wet mass; Cnemidocarpa verrucosa sp. A; Date/time end, experiment; Date/time start, experiment; DIVER; Event label; laboratory study; Potter Cove; Potter Cove, King George Island, Antarctic Peninsula; Proteins; Sample, wet mass; Sample code/label; Sample volume; Sampling by diver; Species; Spectrophotometer UV/Vis, Beckman Coulter, DU800; Temperature, water; Treatment; Tunicata; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 527 data points
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  • 9
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    PANGAEA
    In:  Supplement to: Schiffer, Melanie; Harms, Lars; Pörtner, Hans-Otto; Mark, Felix Christopher; Storch, Daniela (2014): Pre-hatching seawater pCO2 affects development and survival of zoea stages of Arctic spider crab Hyas araneus. Marine Ecology Progress Series, 501, 127-139, https://doi.org/10.3354/meps10687
    Publication Date: 2024-03-15
    Description: Sensitivity of marine crustaceans to anthropogenic CO2 emissions and the associated acidification of the oceans may be less than that of other, especially lower, invertebrates. However, effects on critical transition phases or carry-over effects between life stages have not comprehensively been explored. Here we report the impact of elevated seawater PCO2 values (3100 µatm) on Hyas araneus during the last 2 weeks of their embryonic development (pre-hatching phase) and during development while in the consecutive zoea I and zoea II larval stages (post-hatching phase). We measured oxygen consumption, dry weight, developmental time and mortality in zoea I to assess changes in performance. Feeding rates and survival under starvation were investigated at different temperatures to detect differences in thermal sensitivities of zoea I and zoea II larvae depending on pre-hatch history. When embryos were pre-exposed to elevated PCO2 during maternal care, mortality increased about 60% under continued CO2 exposure during the zoea I phase. The larvae that moulted into zoea II, displayed a developmental delay by about 20 days compared to larvae exposed to control PCO2 during embryonic and zoeal phases. Elevated PCO2 caused a reduction in zoea I dry weight and feeding rates, while survival of the starved larvae was not affected by the seawater CO2 concentration. In conclusion, CO2 effects on egg masses under maternal care carried over to the first larval stages of crustaceans and reduced their survival and development to levels below those previously reported in studies exclusively focussing on acute PCO2 effects on the larval stages.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Arctic; Arthropoda; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Development; Dry mass per individual; Duration, number of days; EXP; Experiment; Feeding rate per individual; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Heart beat rate; Hyas araneus; Incubation duration; Kongsfjorden_OA; Kongsfjorden, Spitsbergen, Arctic; Laboratory experiment; Larvae; Larvae, dead; Maxilliped beat rate; Mortality/Survival; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Polar; Potentiometric; Respiration; Respiration rate, oxygen, per individual; Salinity; Salinity, standard deviation; Single species; Species; Stage; Temperature, water; Temperature, water, standard deviation; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 16522 data points
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  • 10
    facet.materialart.
    Unknown
    PANGAEA
    In:  Supplement to: Schiffer, Melanie; Harms, Lars; Pörtner, Hans-Otto; Lucassen, Magnus; Mark, Felix Christopher; Storch, Daniela (2012): Tolerance of Hyas araneus zoea I larvae to elevated seawater PCO2 despite elevated metabolic costs. Marine Biology, 160(8), 1943-1953, https://doi.org/10.1007/s00227-012-2036-0
    Publication Date: 2024-03-15
    Description: Early life stages of marine crustaceans respond sensitively to elevated seawater PCO2. However, the underlying physiological mechanisms have not been studied well. We therefore investigated the effects of elevated seawater PCO2 on oxygen consumption, dry weight, elemental composition, median developmental time (MDT) and mortality in zoea I larvae of the spider crab Hyas araneus (Svalbard 79°N/11°E; collection, May 2009; hatch, December 2009). At the time of moulting, oxygen consumption rate had reached a steady state level under control conditions. In contrast, elevated seawater PCO2 caused the metabolic rate to rise continuously leading to a maximum 1.5-fold increase beyond control level a few days before moulting into the second stage (zoea II), followed by a pronounced decrease. Dry weight of larvae reared under high CO2 conditions was lower than in control larvae at the beginning of the moult cycle, yet this difference had disappeared at the time of moulting. MDT of zoea I varied between 45 ± 1 days under control conditions and 42 ± 2 days under the highest seawater CO2 concentration. The present study indicates that larval development under elevated seawater PCO2 levels results in higher metabolic costs during premoulting events in zoea I. However, H. araneus zoea I larvae seem to be able to compensate for higher metabolic costs as larval MDT and survival was not affected by elevated PCO2 levels.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Arctic; Arthropoda; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon content per individual; Carbon dioxide; Coast and continental shelf; Dry mass per individual; EXP; Experiment; Figure; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Hyas araneus; Incubation duration; Kongsfjorden_OA; Kongsfjorden, Spitsbergen, Arctic; Laboratory experiment; Larvae; Larvae, dead; Mortality/Survival; Nitrogen content per individual; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Polar; Respiration; Respiration rate, oxygen, per individual; Salinity; Single species; Species; Temperature, water; Temperature, water, standard deviation; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 26064 data points
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