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  • 2010-2014  (652,998)
  • 2012  (652,998)
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  • 1
    Publication Date: 2024-05-28
    Keywords: Alaska, USA; Algeria; Alice Springs; Antarctica; ASP; Australia; AWIPEV; AWIPEV_based; BAR; Barrow; Baseline Surface Radiation Network; BER; Bermuda; BIL; Billings; BON; Bondville; BOS; BOU; Boulder; Brasilia; Brasilia City, Distrito Federal, Brazil; Brazil; BRB; BSRN; CAB; Cabauw; CAM; Camborne; Canada; CAR; Carpentras; Cener; Chesapeake Light; China; CLH; CNR; COC; Cocos (Keeling) Islands; Cocos Island; Colorado, United States of America; Concordia Station, Dome C; Cosmonauts Sea; DAA; DAR; Darwin; Darwin Met Office; De Aar; Desert Rock; DOM; DRA; Dronning Maud Land, Antarctica; DWN; E13; Ellesmere Island, Canadian Arctic Archipelago; Estonia; EUR; Eureka; FLO; Florianopolis; Fort Peck; FPE; France; FUA; Fukuoka; GCR; Georg von Neumayer; Germany; Goodwin Creek; GVN; Illinois, United States of America; ILO; Ilorin; ISH; Ishigakijima; Israel; IZA; Izaña; Japan; KWA; Kwajalein; LAU; Lauder; LER; Lerwick; LIN; Lindenberg; Macdonnell Ranges, Northern Territory, Australia; MAN; Minamitorishima; Minami-Torishima; Mississippi, United States of America; MNM; Momote; Monitoring station; MONS; Montana, United States of America; NAU; Nauru; Nauru Island; Neumayer_based; NEUMAYER III; Nevada, United States of America; New Zealand; Nigeria; North Pacific Ocean; NYA; Ny-Ålesund; Ny-Ålesund, Spitsbergen; Oklahoma, United States of America; PAL; Palaiseau, SIRTA Observatory; Papua New Guinea; PAY; Payerne; Pennsylvania, United States of America; Petrolina; PSU; PTR; REG; Regina; RLM; Rock Springs; Rolim de Moura; São Martinho da Serra; SAP; Sapporo; Saudi Arabia; SBO; Sede Boqer; Shetland Island, United Kingdom; Siberia, Russia; Sioux Falls; SMS; Solar Village; South Africa; South Atlantic Ocean; South Dakota, United States of America; Southern Great Plains; South Pole; SOV; Spain, Sarriguren, Navarra; SPO; Switzerland; SXF; SYO; Syowa; TAM; Tamanrasset; TAT; Tateno; Tenerife, Spain; The Netherlands; TIK; Tiksi; TOR; Toravere; United Kingdom; XIA; Xianghe
    Type: Dataset
    Format: 6787 datasets
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  • 2
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837193 data points
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  • 3
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837987 data points
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  • 4
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837532 data points
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  • 5
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 808536 data points
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  • 6
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 758761 data points
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  • 7
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 743639 data points
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  • 8
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 810239 data points
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  • 9
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 811993 data points
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  • 10
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    PANGAEA
    In:  Izaña Atmospheric Research Center, Meteorological State Agency of Spain
    Publication Date: 2024-05-28
    Keywords: Air temperature at 2 m height; BARO; Barometer; Baseline Surface Radiation Network; BSRN; DATE/TIME; Diffuse radiation; Diffuse radiation, maximum; Diffuse radiation, minimum; Diffuse radiation, standard deviation; Direct radiation; Direct radiation, maximum; Direct radiation, minimum; Direct radiation, standard deviation; HEIGHT above ground; Humidity, relative; HYGRO; Hygrometer; IZA; Izaña; Long-wave downward radiation; Long-wave downward radiation, maximum; Long-wave downward radiation, minimum; Long-wave downward radiation, standard deviation; Monitoring station; MONS; Pyranometer, Kipp & Zonen, CM21, SN 080032, WRMC No. 61002; Pyranometer, Kipp & Zonen, CM21, SN 080034, WRMC No. 61001; Pyrgeometer, Kipp & Zonen, CGR4, SN 050783, WRMC No. 61008; Pyrheliometer, Kipp & Zonen, CH1, SN 080050, WRMC No. 61003; Short-wave downward (GLOBAL) radiation; Short-wave downward (GLOBAL) radiation, maximum; Short-wave downward (GLOBAL) radiation, minimum; Short-wave downward (GLOBAL) radiation, standard deviation; Station pressure; Tenerife, Spain; Thermometer
    Type: Dataset
    Format: text/tab-separated-values, 837323 data points
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  • 11
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    PANGAEA
    In:  Supplement to: Daniau, Anne-Laure; Bartlein, Patrick J; Harrison, S P; Prentice, Iain Colin; Brewer, Simon; Friedlingstein, Pierre; Harrison-Prentice, T I; Inoue, J; Izumi, K; Marlon, Jennifer R; Mooney, Scott D; Power, Mitchell J; Stevenson, J; Tinner, Willy; Andric, M; Atanassova, J; Behling, Hermann; Black, M; Blarquez, O; Brown, K J; Carcaillet, C; Colhoun, Eric A; Colombaroli, Daniele; Davis, Basil A S; D'Costa, D; Dodson, John; Dupont, Lydie M; Eshetu, Z; Gavin, D G; Genries, A; Haberle, Simon G; Hallett, D J; Hope, Geoffrey; Horn, S P; Kassa, T G; Katamura, F; Kennedy, L M; Kershaw, A Peter; Krivonogov, S; Long, C; Magri, Donatella; Marinova, E; McKenzie, G Merna; Moreno, P I; Moss, Patrick T; Neumann, F H; Norstrom, E; Paitre, C; Rius, D; Roberts, Neil; Robinson, G S; Sasaki, N; Scott, Louis; Takahara, H; Terwilliger, V; Thevenon, Florian; Turner, R; Valsecchi, V G; Vannière, Boris; Walsh, M; Williams, N; Zhang, Yancheng (2012): Predictability of biomass burning in response to climate changes. Global Biogeochemical Cycles, 26(4), https://doi.org/10.1029/2011GB004249
    Publication Date: 2024-05-27
    Description: We analyze sedimentary charcoal records to show that the changes in fire regime over the past 21,000 yrs are predictable from changes in regional climates. Analyses of paleo- fire data show that fire increases monotonically with changes in temperature and peaks at intermediate moisture levels, and that temperature is quantitatively the most important driver of changes in biomass burning over the past 21,000 yrs. Given that a similar relationship between climate drivers and fire emerges from analyses of the interannual variability in biomass burning shown by remote-sensing observations of month-by-month burnt area between 1996 and 2008, our results signal a serious cause for concern in the face of continuing global warming.
    Keywords: Center for Marine Environmental Sciences; MARUM
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 12
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    PANGAEA
    In:  Supplement to: Rokitta, Sebastian D; Rost, Björn (2012): Effects of CO2 and their modulation by light in the life-cycle stages of the coccolithophore Emiliania huxleyi. Limnology and Oceanography, 57(2), 607-618, https://doi.org/10.4319/lo.2012.57.2.0607
    Publication Date: 2024-05-27
    Description: The effects of ocean acidification on the life-cycle stages of the coccolithophore Emiliania huxleyi and their by light were examined. Calcifying diploid and noncalcifying haploid cells (Roscoff culture collection 1216 and 1217) were acclimated to present-day and elevated CO2 partial pressures (PCO2; 38.5 vs. 101.3 Pa, ., 380 vs. 1000 matm) under low and high light (50 vs. 300 mmol photons m-2 s-1). Growth rates as well as quotas and production rates of C and N were measured. Sources of inorganic C for biomass buildup were using a 14C disequilibrium assay. Photosynthetic O2 evolution was measured as a function of dissolved inorganic C and light by means of membrane-inlet mass spectrometry. The diploid stage responded to elevated PCO2 by shunting resources from the production of particulate inorganic C toward organic C yet keeping the production of total particulate C constant. As the effect of ocean acidification was stronger under low light, the diploid stage might be less affected by increased acidity when energy availability is high. The haploid stage maintained elemental composition and production rates under elevated PCO2. Although both life-cycle stages involve different ways of dealing with elevated PCO2, the responses were generally modulated by energy availability, being typically most pronounced under low light. Additionally, PCO2 responses resembled those induced by high irradiances, indicating that ocean acidification affects the interplay between energy-generating processes (photosynthetic light reactions) and processes competing for energy (biomass buildup and calcification). A conceptual model is put forward explaining why the magnitude of single responses is determined by energy availability.
    Keywords: Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Auto-analyzer, Technicon Traacs 800; Bicarbonate ion; Bicarbonate ion, standard deviation; Bicarbonate uptake/net fixation ratio; Bicarbonate uptake/net fixation ratio, standard deviation; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcite saturation state, standard deviation; Calculated; Calculated, see reference(s); Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, inorganic, particulate, production per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon, organic, particulate/Nitrogen, organic, particulate ratio, standard deviation; Carbon, total, particulate, production per cell; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a/particulate organic carbon ratio, standard deviation; Chlorophyll a per cell; Chromista; Emiliania huxleyi; EPOCA; Estimated; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Light; Light:Dark cycle; Mass spectrometer SL 20-20 (SerCon); Nitrate; Nitrogen, organic, particulate, per cell; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon, production, standard deviation; Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Particulate inorganic carbon per cell, standard deviation; Particulate organic carbon, production, standard deviation; Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell, standard deviation; Particulate organic nitrogen production, standard deviation; Pelagos; pH; pH, standard deviation; pH meter, WTW, pH 3000; Phosphate; Phytoplankton; Pigments, Turner fluorometer; Primary production/Photosynthesis; Production of particulate organic nitrogen; Radiation, photosynthetically active; Salinity; Single species; Species; Temperature, water; Total particulate carbon production, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 536 data points
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  • 13
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    PANGAEA
    In:  Supplement to: Langer, Gerald; Oetjen, Kerstin; Brenneis, Tina (2012): Calcification of Calcidiscus leptoporus under nitrogen and phosphorus limitation. Journal of Experimental Marine Biology and Ecology, 413, 131-137, https://doi.org/10.1016/j.jembe.2011.11.028
    Publication Date: 2024-05-27
    Description: The coccolithophore Calcidiscus leptoporus was grown in batch culture under nitrogen (N) as well as phosphorus (P) limitation. Growth rate, particulate inorganic carbon (PIC), particulate organic carbon (POC), particulate organic nitrogen (PON), and particulate organic phosphorus (POP) production were determined and coccolith morphology was analysed. While PON production decreased by 70% under N-limitation and POP production decreased by 65% under P-limitation, growth rate decreased by 33% under N- as well as P-limitation. POC as well as PIC production (calcification rate) increased by 27% relative to the control under P-limitation, and did not change under N-limitation. Coccolith morphology did not change in response to either P or N limitation. While these findings, supported by a literature survey, suggest that coccolith morphogenesis is not hampered by either P or N limitation, calcification rate might be. The latter conclusion is in apparent contradiction to our data. We discuss the reasons for this inference.
    Keywords: AA; Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Autoanalyzer; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcidiscus leptoporus; Calcidiscus leptoporus, standard deviation; Calcification/Dissolution; Calcification rate, standard deviation; Calcification rate of carbon per cell; Calcite saturation state; Calculated, see reference(s); Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Element analyser CNS, EURO EA; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Light:Dark cycle; Macro-nutrients; Measured; Mediterranean Sea Acidification in a Changing Climate; MedSeA; Nitrate; Nitrate, standard deviation; Nitrogen, organic, particulate, per cell; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon per cell, standard deviation; Particulate organic carbon, production, standard deviation; Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell, standard deviation; Particulate organic nitrogen production, standard deviation; Particulate organic phosphorus per cell; Particulate organic phosphorus per cell, standard deviation; Particulate organic phosphorus production; Pelagos; pH; pH, standard deviation; pH meter, WTW, 340i; Phosphate; Phosphate, standard deviation; Phosphorus, organic, particulate, production per cell; Phytoplankton; Primary production/Photosynthesis; Production of particulate organic nitrogen; Radiation, photosynthetically active; Salinity; Sample ID; Seal QuAAtro SFA Analyzer, Seal Analytical, 800 TM; Single species; South Atlantic; Species; Temperature, water; Tetra Con 325 salinity and temperature probe
    Type: Dataset
    Format: text/tab-separated-values, 238 data points
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  • 14
    Publication Date: 2024-05-27
    Keywords: 293; Acacia; AGE; Algae; Amaranthaceae/Chenopodiaceae; Artemisia; Asteroideae; Balanites; Borreria; Boscia-type; Calculated, see reference(s); Caryophyllaceae; Celtis; Center for Marine Environmental Sciences; Clematis; Counting, palynology; Cuticles; Cyperaceae; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Ephedra distachya-type; Ephedra fragilis-type; Euphorbia-type; Fraxinus; Galium; GeoB9508-5; Gramineae; Gravity corer (Kiel type); Lycopodium; M65/1; MARUM; Mass; Meteor (1986); Mimosa-type; Mitracarpus; Olea; Pinus; Pollen, total; Pollen and spores; Psydrax-type subcordata; Rhamnaceae; Rhizophora; Rubiaceae; Sedimentation rate; SL; Spores; Sporomorphes, total; Typha; Uapaca; Vernonia-type; Volume; Ziziphus
    Type: Dataset
    Format: text/tab-separated-values, 1352 data points
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  • 15
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    Publication Date: 2024-05-27
    Keywords: 175-1078C; Age model; Age model calibration; Benguela Current, South Atlantic Ocean; Center for Marine Environmental Sciences; Charcoal; DEPTH, sediment/rock; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Joides Resolution; Leg175; MARUM; Sample code/label
    Type: Dataset
    Format: text/tab-separated-values, 213 data points
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  • 16
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    In:  Supplement to: Li, Wei; Gao, Kunshan; Beardall, John (2012): Interactive Effects of Ocean Acidification and Nitrogen-Limitation on the Diatom Phaeodactylum tricornutum. PLoS ONE, 7(12), e51590, https://doi.org/10.1371/journal.pone.0051590
    Publication Date: 2024-05-27
    Description: Climate change is expected to bring about alterations in the marine physical and chemical environment that will induce changes in the concentration of dissolved CO2 and in nutrient availability. These in turn are expected to affect the physiological performance of phytoplankton. In order to learn how phytoplankton respond to the predicted scenario of increased CO2 and decreased nitrogen in the surface mixed layer, we investigated the diatom Phaeodactylum tricornutum as a model organism. The cells were cultured in both low CO2 (390 µatm) and high CO2 (1000 µatm) conditions at limiting (10 µmol/L) or enriched (110 µmol/L) nitrate concentrations. Our study shows that nitrogen limitation resulted in significant decreases in cell size, pigmentation, growth rate and effective quantum yield of Phaeodactylum tricornutum, but these parameters were not affected by enhanced dissolved CO2 and lowered pH. However, increased CO2 concentration induced higher rETRmax and higher dark respiration rates and decreased the CO2 or dissolved inorganic carbon (DIC) affinity for electron transfer (shown by higher values for K1/2 DIC or K1/2 CO2). Furthermore, the elemental stoichiometry (carbon to nitrogen ratio) was raised under high CO2 conditions in both nitrogen limited and nitrogen replete conditions, with the ratio in the high CO2 and low nitrate grown cells being higher by 45% compared to that in the low CO2 and nitrate replete grown ones. Our results suggest that while nitrogen limitation had a greater effect than ocean acidification, the combined effects of both factors could act synergistically to affect marine diatoms and related biogeochemical cycles in future oceans.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; 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, reciprocal of photosynthetic affinity value; Carbon, inorganic, dissolved, reciprocal of photosynthetic affinity value, standard deviation; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate, per cell; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, reciprocal of photosynthetic affinity value; Carbon dioxide, reciprocal of photosynthetic affinity value, standard deviation; Carbon dioxide, standard deviation; Carotenoids, standard deviation; Carotenoids per cell; Cell biovolume; Cell biovolume, standard deviation; Cell counts, percent of total; Cell counts, standard deviation; Cell size; Cell size, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a per cell; Chlorophyll c, standard deviation; Chlorophyll c per cell; Chromista; Coulometric titration; Effective quantum yield; Effective quantum yield, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Identification; Laboratory experiment; Laboratory strains; Macro-nutrients; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Nitrogen, organic, particulate, per cell; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell, standard deviation; pH; pH, standard deviation; Phaeodactylum tricornutum; Photochemical efficiency; Photochemical efficiency, standard deviation; Phytoplankton; Potentiometric; Primary production/Photosynthesis; Respiration; Respiration rate, oxygen, per cell; Respiration rate, oxygen, per chlorophyll a; Respiration rate, oxygen, standard deviation; Salinity; Single species; Species; Spectrophotometric; Temperature, water; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 29292 data points
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  • 17
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    PANGAEA
    In:  Supplement to: Müller, Marius N; Beaufort, Luc; Bernard, O; Pedrotti, Maria Luiza; Talec, A; Sciandra, Antoine (2012): Influence of CO2 and nitrogen limitation on the coccolith volume of Emiliania huxleyi (Haptophyta). Biogeosciences, 9(10), 4155-4167, https://doi.org/10.5194/bg-9-4155-2012
    Publication Date: 2024-05-27
    Description: Coccolithophores, a key phytoplankton group, are one of the most studied organisms regarding their physiological response to ocean acidification/carbonation. The biogenic production of calcareous coccoliths has made coccolithophores a promising group for paleoceanographic research aiming to reconstruct past environmental conditions. Recently, geochemical and morphological analyses of fossil coccoliths have gained increased interest in regard to changes in seawater carbonate chemistry. The cosmopolitan coccolithophore Emiliania huxleyi (Lohm.) Hay and Mohler was cultured over a range of pCO2 levels in controlled laboratory experiments under nutrient replete and nitrogen limited conditions. Measurements of photosynthesis and calcification revealed, as previously published, an increase in particulate organic carbon production and a moderate decrease in calcification from ambient to elevated pCO2. The enhancement in particulate organic carbon production was accompanied by an increase in cell diameter. Changes in coccolith volume were best correlated with the coccosphere/cell diameter and no significant correlation was found between the coccolith volume and the particulate inorganic carbon production. The conducted experiments revealed that the coccolith volume of E. huxleyi is variable with aquatic CO2 concentration but its sensitivity is rather small in comparison with its sensitivity to nitrogen limitation. Comparing coccolith morphological and geometrical parameters like volume, mass and size to physiological parameters under controlled laboratory conditions is an important step to understand variations in fossil coccolith geometry.
    Keywords: -; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate, production per cell; Carbon, organic, particulate, production per cell; Carbon, organic, particulate/Nitrogen, particulate ratio; Carbon, organic, particulate/Phosphorus, organic, particulate ratio; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure; Carbon dioxide, partial pressure, standard deviation; Carbon dioxide, standard deviation; Cell biovolume; Cell density; Cell density, standard deviation; Cell size; Cell size, standard deviation; Chromista; Coccoliths, other, diameter; Code; Description; Emiliania huxleyi; Experiment; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene expression (incl. proteomics); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Macro-nutrients; Nitrogen, total, particulate/Phosphorus, organic, particulate, ratio; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon, production, standard deviation; Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Particulate organic carbon, production, standard deviation; Pelagos; pH; pH, standard deviation; Phosphorus, organic, particulate, production per cell; Phytoplankton; Primary production/Photosynthesis; Salinity; Single species; Species; Standard deviation; Temperature, standard deviation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 397 data points
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  • 18
    Publication Date: 2024-05-27
    Keywords: 293; Acacia; AGE; Alchornea; Amaranthaceae; Annonaceae; Artemisia; Asteroideae; Balanites; Borreria; Boscia-type; Butyrospermum; Caryophyllaceae; Cassia-type; Celtis; Center for Marine Environmental Sciences; Clematis; Combretaceae; Counting, palynology; Cuviera; Cyperaceae; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; Ephedra distachya-type; Ephedra fragilis-type; Euphorbia-type; Fraxinus; Galium; GeoB9508-5; Gramineae; Gravity corer (Kiel type); Indigofera; Lamnea; M65/1; MARUM; Meteor (1986); Mimosa-type; Mitracarpus; Olea; Phoenix-type; Piliostigma; Pinus; Pollen, total; Psydrax-type subcordatum; Pterocarpus-type; Rhamnaceae; Rhizophora; Rubiaceae; Sedimentation rate; SL; Stereospermum-type; Tamarindus-type indica; Typha; Uapaca; Vernonia-type; Ziziphus
    Type: Dataset
    Format: text/tab-separated-values, 1776 data points
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  • 19
    Publication Date: 2024-05-27
    Keywords: 293; AGE; Calculated; Center for Marine Environmental Sciences; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); SL; Thorium-230 excess; Thorium-230 excess, standard deviation; Vertical rain rate
    Type: Dataset
    Format: text/tab-separated-values, 72 data points
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  • 20
    Publication Date: 2024-05-27
    Keywords: 293; Accumulation rate, algae, freshwater; AGE; Algae, freshwater; Center for Marine Environmental Sciences; Counting, palynology; Depth, bottom/max; DEPTH, sediment/rock; Depth, top/min; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); Pollen, flux; Pollen, total; SL
    Type: Dataset
    Format: text/tab-separated-values, 259 data points
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  • 21
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    PANGAEA
    In:  Supplement to: Bouimetarhan, Ilham; Prange, Matthias; Schefuß, Enno; Dupont, Lydie M; Lippold, Jörg; Mulitza, Stefan; Zonneveld, Karin A F (2012): Sahel megadrought during Heinrich Stadial 1: evidence for a three-phase evolution of the low- and mid-level West African wind system. Quaternary Science Reviews, 58, 66-76, https://doi.org/10.1016/j.quascirev.2012.10.015
    Publication Date: 2024-05-27
    Description: Millennial-scale dry events in the Northern Hemisphere monsoon regions during the last Glacial period are commonly attributed to southward shifts of the Intertropical Convergence Zone (ITCZ) associated with an intensification of the northeasterly (NE) trade wind system during intervals of reduced Atlantic meridional overturning circulation (AMOC). Through the use of high-resolution last deglaciation pollen records from the continental slope off Senegal, our data show that one of the longest and most extreme droughts in the western Sahel history, which occurred during the North Atlantic Heinrich Stadial 1 (HS1), displayed a succession of three major phases. These phases progressed from an interval of maximum pollen representation of Saharan elements between ~19 and 17.4 kyr BP indicating the onset of aridity and intensified NE trade winds, followed by a millennial interlude of reduced input of Saharan pollen and increased input of Sahelian pollen, to a final phase between ~16.2 and 15 kyr BP that was characterized by a second maximum of Saharan pollen abundances. This change in the pollen assemblage indicates a mid-HS1 interlude of NE trade wind relaxation, occurring between two distinct trade wind maxima, along with an intensified mid-tropospheric African Easterly Jet (AEJ) indicating a substantial change in West African atmospheric processes. The pollen data thus suggest that although the NE trades have weakened, the Sahel drought remained severe during this time interval. Therefore, a simple strengthening of trade winds and a southward shift of the West African monsoon trough alone cannot fully explain millennial-scale Sahel droughts during periods of AMOC weakening. Instead, we suggest that an intensification of the AEJ is needed to explain the persistence of the drought during HS1. Simulations with the Community Climate System Model indicate that an intensified AEJ during periods of reduced AMOC affected the North African climate by enhancing moisture divergence over the West African realm, thereby extending the Sahel drought for about 4000 years.
    Keywords: 293; Center for Marine Environmental Sciences; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); SL
    Type: Dataset
    Format: application/zip, 5 datasets
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  • 22
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    PANGAEA
    In:  Supplement to: Lohbeck, Kai T; Riebesell, Ulf; Reusch, Thorsten B H (2012): Adaptive evolution of a key phytoplankton species to ocean acidification. Nature Geoscience, 5(5), 346-351, https://doi.org/10.1038/ngeo1441
    Publication Date: 2024-05-27
    Description: Ocean acidification, the drop in seawater pH associated with the ongoing enrichment of marine waters with carbon dioxide from fossil fuel burning, may seriously impair marine calcifying organisms. Our present understanding of the sensitivity of marine life to ocean acidification is based primarily on short-term experiments, in which organisms are exposed to increased concentrations of CO2. However, phytoplankton species with short generation times, in particular, may be able to respond to environmental alterations through adaptive evolution. Here, we examine the ability of the world's single most important calcifying organism, the coccolithophore Emiliania huxleyi, to evolve in response to ocean acidification in two 500-generation selection experiments. Specifically, we exposed E. huxleyi populations founded by single or multiple clones to increased concentrations of CO2. Around 500 asexual generations later we assessed their fitness. Compared with populations kept at ambient CO2 partial pressure, those selected at increased partial pressure exhibited higher growth rates, in both the single- and multiclone experiment, when tested under ocean acidification conditions. Calcification was partly restored: rates were lower under increased CO2 conditions in all cultures, but were up to 50% higher in adapted compared with non-adapted cultures. We suggest that contemporary evolution could help to maintain the functionality of microbial processes at the base of marine food webs in the face of global change.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate, per cell; Carbon, inorganic, particulate, production per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, production per cell; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell size; Chromista; Emiliania huxleyi; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Haptophyta; Laboratory experiment; Laboratory strains; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Pelagos; pH; Phosphate; Phytoplankton; Salinity; Single species; Species; Temperature, water; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 3150 data points
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  • 23
    Publication Date: 2024-05-27
    Keywords: 175-1078C; Acacia; Adenia; Afzelia; AGE; Alchornea; Alisma plantago-aquatica; Amaranthaceae/Chenopodiaceae; Anemia; Annonaceae; Anthoceros; Anthospermum; Avicennia; Balanites; Basella; Benguela Current, South Atlantic Ocean; Blighia-type; Botryococcus; Brachystegia; Bridelia; Burkea; Buxus-type madagascaria; Canthium spp.; Canthium subcordatum; Caryophyllaceae; Cassia-type; Celastraceae/Hippocrateaceae; Celtis; Cnestis-type; Coccinia; Colophospermum mopane; Combretaceae/Melastomataceae; Corymbium-type; Cotula-type; Counting, palynology; Crudia-type; Cussonia; Cyperaceae; Daisy-type; Daniellia-type; Dialium-type; Diospyros; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Erica (Africa); Erythrina; Euphorbia; Fabaceae; Funtumia; Gazania-type; Geraniaceae; Geranium; Glomus; Hermannia; Hygrophila-type; Hymenocardia; Hypoestes type; Hyptis; Ilex cf.. mitis; Indigofera-type; Ipomoea-type; Isoberlinia-type; Joides Resolution; Justicia/Monechma; Kohautia; Lannea; Leg175; Liguliflorea-type; Liverwort; Maerua-type; Mallotus; Marker, added; Marker, found; Meliaceae; Monolete spore(s); Myrica; Myrsine africana; Nitraria; Ocean Drilling Program; ODP; Olea; Pelargonium; Pentzia-type; Pericopsis; Pheoceros; Phyllanthus; Poaceae; Podocarpus; Pollen, total; Pollen indeterminata; Polygonum senegalense-type; Protea; Pteris; Pyrite; Rhizophora; Rhus-type; Rothmannia; Sample code/label; Sapotaceae; Securinega; Sedimentation rate; Sherbournea; Spermacoce; Spindel; Spores, trilete; Stipularia africana; Stoebe-type; Tarchonanthus/Artemisia-type; Tephrosia; Tetrorchidium; Thymelaeaceae; Tribulus; Tubuliflorae-type; Typha spp.; Uapaca; Urticaceae; Varia; Vernonia-type; Zanthoxylum
    Type: Dataset
    Format: text/tab-separated-values, 12995 data points
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  • 24
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    PANGAEA
    Publication Date: 2024-05-27
    Keywords: Age model; Age model calibration; Angola Basin; Center for Marine Environmental Sciences; Charcoal; DEPTH, sediment/rock; GeoB1023-5; Gravity corer (Kiel type); M6/6; MARUM; Meteor (1986); SL
    Type: Dataset
    Format: text/tab-separated-values, 222 data points
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  • 25
    Publication Date: 2024-05-27
    Keywords: 293; AGE; Center for Marine Environmental Sciences; Depth, reference; DEPTH, sediment/rock; GeoB9508-5; Gravity corer (Kiel type); M65/1; MARUM; Meteor (1986); see reference(s); SL; Thorium-230 excess; Thorium-230 excess, standard deviation; Vertical rain rate
    Type: Dataset
    Format: text/tab-separated-values, 77 data points
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  • 26
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    PANGAEA
    In:  Supplement to: Melles, Martin; Brigham-Grette, Julie; Minyuk, Pavel S; Nowaczyk, Norbert R; Wennrich, Volker; DeConto, Robert M; Anderson, Patricia A; Andreev, Andrei A; Coletti, Anthony; Cook, Timothy L; Haltia-Hovi, Eeva; Kukkonen, Maaret; Lozhkin, Anatoly V; Rosén, Peter; Tarasov, Pavel E; Vogel, Hendrik; Wagner, Bernd (2012): 2.8 Million years of Arctic climate change from Lake El'gygytgyn, NE Russia. Science, 337(6092), 315-320, https://doi.org/10.1126/science.1222135
    Publication Date: 2024-05-24
    Description: The reliability of Arctic climate predictions is currently hampered by insufficient knowledge of natural climate variability in the past. A sediment core from Lake El'gygytgyn (NE Russia) provides a continuous high-resolution record from the Arctic spaning the past 2.8 Ma. The core reveals numerous "super interglacials" during the Quaternary, with maximum summer temperatures and annual precipitation during marine benthic isotope stages (MIS) 11c and 31 ~4-5 °C and ~300 mm higher than those of MIS 1 and 5e. Climate simulations show these extreme warm conditions are difficult to explain with greenhouse gas and astronomical forcing alone, implying the importance of amplifying feedbacks and far field influences. The timing of Arctic warming relative to West Antarctic Ice Sheet retreats implies strong interhemispheric climate connectivity.
    Keywords: COMPCORE; Composite Core; ELGYGYTGYN; Elgygytgyn crater lake, Sibiria, Russia; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Lake Elgygytgyn - Climate History of the Arctic since 3.6 Million Years; Sampling on land
    Type: Dataset
    Format: application/zip, 13 datasets
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  • 27
    Publication Date: 2024-05-24
    Description: It is essential to predict the impact of elevated PCO2 on marine organisms and habitats to anticipate the severity and consequences of future ocean chemistry change. Despite the importance of carry-over effects in the evolutionary history of marine organisms, few studies have considered links between life-history stages when determining how marine organisms will respond to elevated PCO2, and none have considered the link between adults and their offspring. Herein, we exposed adults of wild and selectively bred Sydney rock oysters, Saccostrea glomerata to elevated PCO2 during reproductive conditioning and measured the development, growth and survival response of their larvae. We found that elevated PCO2 had a negative impact on larvae of S. glomerata causing a reduction in growth, rate of development and survival. Exposing adults to elevated PCO2 during reproductive conditioning, however, had positive carry-over effects on larvae. Larvae spawned from adults exposed to elevated PCO2 were larger and developed faster, but displayed similar survival compared with larvae spawned from adults exposed to ambient PCO2. Furthermore, selectively bred larvae of S. glomerata were more resilient to elevated PCO2 than wild larvae. Measurement of the standard metabolic rate (SMR) of adult S. glomerata showed that at ambient PCO2, SMR is increased in selectively bred compared with wild oysters and is further increased during exposure to elevated PCO2. This study suggests that sensitive marine organisms may have the capacity to acclimate or adapt to elevated PCO2 over the next century and a change in energy turnover indicated by SMR may be a key process involved.
    Keywords: Alkalinity, total; Alkalinity, total, standard error; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Brackish waters; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Containers and aquaria (20-1000 L or 〈 1 m**2); Day of experiment; Development; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Laboratory experiment; Larvae; Metabolic rate of oxygen, per dry mass, standard; Mollusca; Mortality/Survival; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard error; Potentiometric; Potentiometric titration; Registration number of species; Replicate; Respiration; Saccostrea glomerata; Salinity; Salinity, standard error; Shell length; Single species; South Pacific; Species; Survival; Temperate; Temperature, water; Temperature, water, standard error; Treatment; Type; Uniform resource locator/link to reference; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 14399 data points
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  • 28
    Publication Date: 2024-05-24
    Keywords: AGE; Calculated, see reference(s); COMPCORE; Composite Core; Counting, palynology; ELGYGYTGYN; Elgygytgyn crater lake, Sibiria, Russia; ICDP_Elgygytgyn-Drilling-Project; ICDP5011-1; Lake Elgygytgyn - Climate History of the Arctic since 3.6 Million Years; Picea; Precipitation, annual mean; Precipitation, annual mean, maximum; Precipitation, annual mean, minimum; Sampling on land; sum trees and shrubs; Temperature, warmest month; Temperature, warmest month, maximum; Temperature, warmest month, minimum
    Type: Dataset
    Format: text/tab-separated-values, 728 data points
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  • 29
    Publication Date: 2024-05-23
    Repository Name: EPIC Alfred Wegener Institut
    Type: Other , notRev
    Format: application/pdf
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  • 30
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    PANGAEA
    In:  Supplement to: Bednaršek, Nina; Tarling, Geraint A; Bakker, Dorothee C E; Fielding, Sophie; Cohen, Anne L; Kuzirian, Alan; McCorkle, Daniel C; Lézé, Bertrand; Montagna, Roberto (2012): Description and quantification of pteropod shell dissolution: A sensitive bioindicator of ocean acidification. Global Change Biology, 18(7), 2378-2388, https://doi.org/10.1111/j.1365-2486.2012.02668.x
    Publication Date: 2024-05-22
    Description: Anthropogenic ocean acidification is likely to have negative effects on marine calcifying organisms, such as shelled pteropods, by promoting dissolution of aragonite shells. Study of shell dissolution requires an accurate and sensitive method for assessing shell damage. Shell dissolution was induced through incubations in CO2 enriched seawater for between 4 and 14 days. We describe a procedure that allows the level of dissolution to be assessed and classified into three main types: Type I with partial dissolution of the prismatic layer; Type II with exposure of underlying crossed-lamellar layer, and Type III, where crossed-lamellar layer shows signs of dissolution. Levels of dissolution showed a good correspondence to the incubation conditions, with the most severe damage found in specimens held for 14 d in undersaturated condition (Ohm ~ 0.8). This methodology enables the response of small pelagic calcifiers to acidified conditions to be detected at an early stage, thus making pteropods a valuable bioindicator of future ocean acidification.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Antarctic; Aragonite saturation state; Aragonite saturation state, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; 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 ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure, standard deviation; Coulometric titration; Dissolution rate; Dissolution rate, standard deviation; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Individuals, non-dissolving; Individuals, non-dissolving, standard-deviation; Laboratory experiment; Limacina helicina antarctica; Mollusca; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phosphate; Polar; Salinity; Scanning electron microscope (SEM); Silicate; Single species; Species; Temperature, water; Time, incubation; Titration potentiometric; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 188 data points
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  • 31
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    PANGAEA
    In:  Supplement to: Bednaršek, Nina; Tarling, Geraint A; Bakker, Dorothee C E; Fielding, Sophie; Jones, Elizabeth M; Venables, H J; Ward, Peter; Kuzirian, Alan; Lézé, Bertrand; Feely, Richard A; Murphy, Eugene J (2012): Extensive dissolution of live pteropods in the Southern Ocean. Nature Geoscience, 5(12), 881-885, https://doi.org/10.1038/ngeo1635
    Publication Date: 2024-05-22
    Description: The carbonate chemistry of the surface ocean is rapidly changing with ocean acidification, a result of human activities. In the upper layers of the Southern Ocean, aragonite-a metastable form of calcium carbonate with rapid dissolution kinetics-may become undersaturated by 2050. Aragonite undersaturation is likely to affect aragonite-shelled organisms, which can dominate surface water communities in polar regions. Here we present analyses of specimens of the pteropod Limacina helicina antarctica that were extracted live from the Southern Ocean early in 2008. We sampled from the top 200 m of the water column, where aragonite saturation levels were around 1, as upwelled deep water is mixed with surface water containing anthropogenic CO2. Comparing the shell structure with samples from aragonite-supersaturated regions elsewhere under a scanning electron microscope, we found severe levels of shell dissolution in the undersaturated region alone. According to laboratory incubations of intact samples with a range of aragonite saturation levels, eight days of incubation in aragonite saturation levels of 0.94-1.12 produces equivalent levels of dissolution. As deep-water upwelling and CO2 absorption by surface waters is likely to increase as a result of human activities, we conclude that upper ocean regions where aragonite-shelled organisms are affected by dissolution are likely to expand.
    Keywords: Alkalinity, total; Animalia; Antarctic; Aragonite saturation state; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coulometric titration; Dissolution level; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Incubation duration; Laboratory experiment; Limacina helicina; Mollusca; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; Percentage; Percentage, standard deviation; pH; Phosphate; Polar; Potentiometric titration; Salinity; Scotia_OA; Silicate; Single species; Species; Station label; Temperature, water; Time point, descriptive; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 904 data points
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  • 32
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    PANGAEA
    In:  Supplement to: Glas, Martin S; Fabricius, Katharina Elisabeth; de Beer, Dirk; Uthicke, Sven; Gilbert, Jack Anthony (2012): The O2, pH and Ca2+ Microenvironment of Benthic Foraminifera in a High CO2 World. PLoS ONE, 7(11), e50010, https://doi.org/10.1371/journal.pone.0050010
    Publication Date: 2024-05-22
    Description: Ocean acidification (OA) can have adverse effects on marine calcifiers. Yet, phototrophic marine calcifiers elevate their external oxygen and pH microenvironment in daylight, through the uptake of dissolved inorganic carbon (DIC) by photosynthesis. We studied to which extent pH elevation within their microenvironments in daylight can counteract ambient seawater pH reductions, i.e. OA conditions. We measured the O2 and pH microenvironment of four photosymbiotic and two symbiont-free benthic tropical foraminiferal species at three different OA treatments (~432, 1141 and 2151 µatm pCO2). The O2 concentration difference between the seawater and the test surface (delta O2) was taken as a measure for the photosynthetic rate. Our results showed that O2 and pH levels were significantly higher on photosymbiotic foraminiferal surfaces in light than in dark conditions, and than on surfaces of symbiont-free foraminifera. Rates of photosynthesis at saturated light conditions did not change significantly between OA treatments (except in individuals that exhibited symbiont loss, i.e. bleaching, at elevated pCO2). The pH at the cell surface decreased during incubations at elevated pCO2, also during light incubations. Photosynthesis increased the surface pH but this increase was insufficient to compensate for ambient seawater pH decreases. We thus conclude that photosynthesis does only partly protect symbiont bearing foraminifera against OA.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Amphistegina radiata; Aragonite saturation state; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calcium ion; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Chromista; Coast and continental shelf; Coulometric titration; Date; Figure; Foraminifera; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Group; Heterostegina depressa; Heterotrophic prokaryotes; Hydrogen ion concentration; Hydrogen ion concentration, standard deviation; Identification; Individual code; Irradiance; Laboratory experiment; Marginopora vertebralis; Miliola sp.; OA-ICC; Ocean Acidification International Coordination Centre; Oxygen; Oxygen, standard deviation; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Peneroplis sp.; pH; pH, standard deviation; Phosphate; Phosphate, standard deviation; Position; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Quinquelloculina sp.; Revelle factor; Revelle factor, standard deviation; Salinity; Silicate; Silicate, standard deviation; Single species; Size; Slope; Slope, standard deviation; South Pacific; Species; Spectrophotometric; Temperature, water; Temperature, water, standard deviation; Time point, descriptive; Treatment; Tropical
    Type: Dataset
    Format: text/tab-separated-values, 22899 data points
    Location Call Number Expected Availability
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  • 33
    facet.materialart.
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    PANGAEA
    In:  Supplement to: Maier, Cornelia; Watremez, P; Taviani, Marco; Weinbauer, Markus G; Gattuso, Jean-Pierre (2012): Calcification rates and the effect of ocean acidification on Mediterranean cold-water corals. Proceedings of the Royal Society B-Biological Sciences, 279(1734), 1716-1723, https://doi.org/10.1098/rspb.2011.1763
    Publication Date: 2024-05-22
    Description: Global environmental changes, including ocean acidification, have been identified as a major threat to scleractinian corals. General predictions are that ocean acidification will be detrimental to reef growth and that 40 to more than 80 per cent of present-day reefs will decline during the next 50 years. Cold-water corals (CWCs) are thought to be strongly affected by changes in ocean acidification owing to their distribution in deep and/or cold waters, which naturally exhibit a CaCO3 saturation state lower than in shallow/warm waters. Calcification was measured in three species of Mediterranean cold-water scleractinian corals (Lophelia pertusa, Madrepora oculata and Desmophyllum dianthus) on-board research vessels and soon after collection. Incubations were performed in ambient sea water. The species M. oculata was additionally incubated in sea water reduced or enriched in CO2. At ambient conditions, calcification rates ranged between -0.01 and 0.23% d-1. Calcification rates of M. oculata under variable partial pressure of CO2 (pCO2) were the same for ambient and elevated pCO2 (404 and 867 µatm) with 0.06 ± 0.06% d-1, while calcification was 0.12 ± 0.06% d-1 when pCO2 was reduced to its pre-industrial level (285 µatm). This suggests that present-day CWC calcification in the Mediterranean Sea has already drastically declined (by 50%) as a consequence of anthropogenic-induced ocean acidification.
    Keywords: AIRICA analyzer (Miranda); Alkalinity, total; Alkalinity, total, standard deviation; Alkalinity anomaly technique (Smith and Key, 1975); Ammonium; Ammonium, standard deviation; Animalia; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcification rate; Calcification rate, standard deviation; 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; Cnidaria; Coral polyp; Coral polyp, standard deviation; Deep-sea; Desmophyllum sp.; Desmophyllum sp., dry weight; Desmophyllum sp., dry weight, standard deviation; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experiment day; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Laboratory experiment; Lophelia pertusa; Lophelia pertusa, tissue, dry weight; Lophelia pertusa, tissue, dry weight, standard error; Madrepora oculata; Madrepora oculata, dry weight; Madrepora oculata, dry weight, standard deviation; Measured; Mediterranean Sea; Metrohm Titrando titrator; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Phosphate; Phosphate, standard deviation; Replicates; Salinity; Single species; Site; Species; Temperate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 608 data points
    Location Call Number Expected Availability
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  • 34
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    PANGAEA
    In:  Supplement to: Stichel, Torben; Frank, Martin; Rickli, Jörg Dominik; Haley, Brian A (2012): The hafnium and neodymium isotope composition of seawater in the Atlantic sector of the Southern Ocean. Earth and Planetary Science Letters, 317-318, 282-294, https://doi.org/10.1016/j.epsl.2011.11.025
    Publication Date: 2024-05-22
    Description: We present the first combined dissolved hafnium (Hf) and neodymium (Nd) concentrations and isotope compositions of deep water masses from the Atlantic sector of the Southern Ocean. Eight full depth profiles were analyzed for Hf and twelve for Nd. Hafnium concentrations are generally depleted in the upper few hundred meters ranging between 0.2 pmol/kg and 0.4 pmol/kg and increase to relatively constant values of around 0.6 pmol/kg in the deeper water column. At the stations north of the Polar Front (PF), Nd concentrations increase linearly from about 10 pmol/kg at depths of ~ 200 m to up to 31 pmol/kg close to the bottom indicating particle scavenging and release. Within the Weddell Gyre (WG), however, Nd concentrations are essentially constant at 25 pmol/kg at depths greater than ~ 1000 m. The distributions of both elements show a positive correlation with dissolved silicon implying a close linkage to diatom biogeochemistry. Hafnium essentially shows invariant isotope compositions with values averaging at epsilon-Hf = +4.6, whereas Nd isotopes mark distinct differences between water masses, such as modified North Atlantic Deep Water (NADW, epsilon-Nd = -11 to -10) and Antarctic Bottom Water (AABW, epsilon-Nd = -8.6 to -9.6), but also waters locally advected via the Agulhas Current can be identified by their unradiogenic Nd isotope compositions. Mixing calculations suggest that a small fraction of Nd is removed by particle scavenging during mixing of water masses north of the PF. Nevertheless, the Nd isotope composition has apparently not been significantly affected by uptake and release of Nd from particles, as indicated by mixing calculations. A mixing envelope of an approximated North Pacific and a North Atlantic end-member shows that Nd isotope and concentration patterns in the Lower Circumpolar Deep Water (LCDW) can be fully explained by ~ 30:70 percentage contributions of these respective end-members.
    Keywords: ANT-XXIV/3; Calculated; Comment; CTD, Sea-Bird SBE 911plus; Date/Time of event; DEPTH, water; Drake Passage; Elevation of event; Event label; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; Hafnium, dissolved; HYD; Hydrographic station; Latitude of event; Longitude of event; Neodymium, dissolved; Neutral density; Polarstern; Priority Programme 1158 Antarctic Research with Comparable Investigations in Arctic Sea Ice Areas; PS71; PS71/101; PS71/102; PS71/104; PS71/113; PS71/131; PS71/161; PS71/178; PS71/181; PS71/193; PS71/230; PS71/236; PS71/241; PS71/244; PS71/250; Salinity; Scotia Sea; see reference(s); Silicate; South Atlantic Ocean; SPP1158; Temperature, water, potential; Weddell Sea; ε-Hafnium; ε-Hafnium, standard deviation; ε-Neodymium; ε-Neodymium, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 705 data points
    Location Call Number Expected Availability
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  • 35
    facet.materialart.
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-05-22
    Keywords: Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; Maria S. Merian; MSM08/1; MSM08/1_167; MSM08/1_168; MSM08/1_CTD-RO1; MSM08/1_CTD-RO12; MSM08/1_CTD-RO15; MSM08/1_CTD-RO16; MSM08/1_CTD-RO19; MSM08/1_CTD-RO22; MSM08/1_CTD-RO24; MSM08/1_CTD-RO27; MSM08/1_CTD-RO28; MSM08/1_CTD-RO29; MSM08/1_CTD-RO3; MSM08/1_CTD-RO30; MSM08/1_CTD-RO31; MSM08/1_CTD-RO32; MSM08/1_CTD-RO33; MSM08/1_CTD-RO35; MSM08/1_CTD-RO36; MSM08/1_CTD-RO37; MSM08/1_CTD-RO38; MSM08/1_CTD-RO39; MSM08/1_CTD-RO40; MSM08/1_CTD-RO41; MSM08/1_CTD-RO42; MSM08/1_CTD-RO43; MSM08/1_CTD-RO44; MSM08/1_CTD-RO45; MSM08/1_CTD-RO46; MSM08/1_CTD-RO47; MSM08/1_CTD-RO5; MSM08/1_CTD-RO6; MSM08/1_CTD-RO7; MSM08/1_CTD-RO9; Nitrate; Nitrite; Oxygen; Phosphate; Pressure, water; Salinity; Sample code/label; SFB754; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 4784 data points
    Location Call Number Expected Availability
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  • 36
    facet.materialart.
    Unknown
    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-05-22
    Keywords: Ammonium; Archael_amoA distribution; Bacterial nitrogen fixation, Chrocosphaera; Bacterial nitrogen fixation, Cyanothese; Bacterial nitrogen fixation, filamentous; Bacterial nitrogen fixation, GammaAO; Bacterial nitrogen fixation, total; Bacterial nitrogen fixation, UCYN-A; Bottle number; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Fluorescence-based quantitative real-time PCR (qPCR); Freon-12 (dichlorodifluoromethane); Latitude of event; Longitude of event; Maria S. Merian; MSM10/1; MSM10/1-CTD1; MSM10/1-CTD10; MSM10/1-CTD100; MSM10/1-CTD101; MSM10/1-CTD102; MSM10/1-CTD103; MSM10/1-CTD104; MSM10/1-CTD105; MSM10/1-CTD106; MSM10/1-CTD107; MSM10/1-CTD108; MSM10/1-CTD109; MSM10/1-CTD11; MSM10/1-CTD110; MSM10/1-CTD111; MSM10/1-CTD112; MSM10/1-CTD113; MSM10/1-CTD114; MSM10/1-CTD115; MSM10/1-CTD116; MSM10/1-CTD117; MSM10/1-CTD118; MSM10/1-CTD119; MSM10/1-CTD12; MSM10/1-CTD120; MSM10/1-CTD121; MSM10/1-CTD122; MSM10/1-CTD123; MSM10/1-CTD124; MSM10/1-CTD125; MSM10/1-CTD126; MSM10/1-CTD127; MSM10/1-CTD128; MSM10/1-CTD129; MSM10/1-CTD13; MSM10/1-CTD130; MSM10/1-CTD131; MSM10/1-CTD132; MSM10/1-CTD133; MSM10/1-CTD134; MSM10/1-CTD135; MSM10/1-CTD136; MSM10/1-CTD137; MSM10/1-CTD138; MSM10/1-CTD139; MSM10/1-CTD14; MSM10/1-CTD140; MSM10/1-CTD141; MSM10/1-CTD142; MSM10/1-CTD143; MSM10/1-CTD144; MSM10/1-CTD145; MSM10/1-CTD146; MSM10/1-CTD147; MSM10/1-CTD148; MSM10/1-CTD149; MSM10/1-CTD15; MSM10/1-CTD150; MSM10/1-CTD151; MSM10/1-CTD152; MSM10/1-CTD153; MSM10/1-CTD154; MSM10/1-CTD155; MSM10/1-CTD156; MSM10/1-CTD157; MSM10/1-CTD158; MSM10/1-CTD159; MSM10/1-CTD16; MSM10/1-CTD160; MSM10/1-CTD161; MSM10/1-CTD162; MSM10/1-CTD163; MSM10/1-CTD164; MSM10/1-CTD165; MSM10/1-CTD166; MSM10/1-CTD167; MSM10/1-CTD168; MSM10/1-CTD169; MSM10/1-CTD17; MSM10/1-CTD170; MSM10/1-CTD171; MSM10/1-CTD172; MSM10/1-CTD173; MSM10/1-CTD174; MSM10/1-CTD175; MSM10/1-CTD176; MSM10/1-CTD177; MSM10/1-CTD179; MSM10/1-CTD18; MSM10/1-CTD180; MSM10/1-CTD181; MSM10/1-CTD182; MSM10/1-CTD183; MSM10/1-CTD184; MSM10/1-CTD185; MSM10/1-CTD186; MSM10/1-CTD187; MSM10/1-CTD188; MSM10/1-CTD189; MSM10/1-CTD19; MSM10/1-CTD190; MSM10/1-CTD191; MSM10/1-CTD192; MSM10/1-CTD193; MSM10/1-CTD194; MSM10/1-CTD195; MSM10/1-CTD196; MSM10/1-CTD197; MSM10/1-CTD198; MSM10/1-CTD199; MSM10/1-CTD2; MSM10/1-CTD20; MSM10/1-CTD200; MSM10/1-CTD201; MSM10/1-CTD202; MSM10/1-CTD203; MSM10/1-CTD204; MSM10/1-CTD205; MSM10/1-CTD206; MSM10/1-CTD207; MSM10/1-CTD208; MSM10/1-CTD209; MSM10/1-CTD21; MSM10/1-CTD210; MSM10/1-CTD211; MSM10/1-CTD212; MSM10/1-CTD213; MSM10/1-CTD214; MSM10/1-CTD215; MSM10/1-CTD216; MSM10/1-CTD217; MSM10/1-CTD218; MSM10/1-CTD219; MSM10/1-CTD22; MSM10/1-CTD220; MSM10/1-CTD221; MSM10/1-CTD222; MSM10/1-CTD223; MSM10/1-CTD224; MSM10/1-CTD225; MSM10/1-CTD226; MSM10/1-CTD227; MSM10/1-CTD228; MSM10/1-CTD229; MSM10/1-CTD23; MSM10/1-CTD24; MSM10/1-CTD25; MSM10/1-CTD26; MSM10/1-CTD27; MSM10/1-CTD28; MSM10/1-CTD29; MSM10/1-CTD3; MSM10/1-CTD30; MSM10/1-CTD31; MSM10/1-CTD32; MSM10/1-CTD33; MSM10/1-CTD34; MSM10/1-CTD35; MSM10/1-CTD36; MSM10/1-CTD37; MSM10/1-CTD38; MSM10/1-CTD39; MSM10/1-CTD4; MSM10/1-CTD40; MSM10/1-CTD41; MSM10/1-CTD42; MSM10/1-CTD43; MSM10/1-CTD44; MSM10/1-CTD45; MSM10/1-CTD46; MSM10/1-CTD47; MSM10/1-CTD48; MSM10/1-CTD49; MSM10/1-CTD5; MSM10/1-CTD50; MSM10/1-CTD51; MSM10/1-CTD52; MSM10/1-CTD53; MSM10/1-CTD54; MSM10/1-CTD55; MSM10/1-CTD56; MSM10/1-CTD57; MSM10/1-CTD58; MSM10/1-CTD59; MSM10/1-CTD6; MSM10/1-CTD60; MSM10/1-CTD61; MSM10/1-CTD62; MSM10/1-CTD63; MSM10/1-CTD64; MSM10/1-CTD65; MSM10/1-CTD66; MSM10/1-CTD67; MSM10/1-CTD68; MSM10/1-CTD69; MSM10/1-CTD7; MSM10/1-CTD70; MSM10/1-CTD71; MSM10/1-CTD72; MSM10/1-CTD73; MSM10/1-CTD74; MSM10/1-CTD75; MSM10/1-CTD76; MSM10/1-CTD77; MSM10/1-CTD78; MSM10/1-CTD79; MSM10/1-CTD8; MSM10/1-CTD80; MSM10/1-CTD81; MSM10/1-CTD82; MSM10/1-CTD83; MSM10/1-CTD84; MSM10/1-CTD85; MSM10/1-CTD86; MSM10/1-CTD87; MSM10/1-CTD88; MSM10/1-CTD89; MSM10/1-CTD9; MSM10/1-CTD90; MSM10/1-CTD91; MSM10/1-CTD92; MSM10/1-CTD93; MSM10/1-CTD94; MSM10/1-CTD95; MSM10/1-CTD96; MSM10/1-CTD97; MSM10/1-CTD98; MSM10/1-CTD99; Nitrate; Nitrite; Oxygen; Phosphate; Pressure, water; Salinity; Sample code/label; SFB754; Silicate; Sulfur hexafluoride, SF6; Temperature, water; Trifluoromethyl sulfur pentafluoride
    Type: Dataset
    Format: text/tab-separated-values, 36613 data points
    Location Call Number Expected Availability
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  • 37
    facet.materialart.
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-05-22
    Keywords: Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; M77/4; M77/4_078; M77/4_140; M77/4_143; M77/4_152; M77/4_159; M77/4_160; M77/4-CTD1; M77/4-CTD10; M77/4-CTD11; M77/4-CTD12; M77/4-CTD13; M77/4-CTD14; M77/4-CTD15; M77/4-CTD16; M77/4-CTD17; M77/4-CTD18; M77/4-CTD19; M77/4-CTD2; M77/4-CTD20; M77/4-CTD21; M77/4-CTD22; M77/4-CTD23; M77/4-CTD24; M77/4-CTD25; M77/4-CTD26; M77/4-CTD27; M77/4-CTD28; M77/4-CTD29; M77/4-CTD3; M77/4-CTD30; M77/4-CTD31; M77/4-CTD32; M77/4-CTD33; M77/4-CTD34; M77/4-CTD35; M77/4-CTD36; M77/4-CTD37; M77/4-CTD38; M77/4-CTD39; M77/4-CTD4; M77/4-CTD40; M77/4-CTD41; M77/4-CTD42; M77/4-CTD43; M77/4-CTD44; M77/4-CTD45; M77/4-CTD46; M77/4-CTD47; M77/4-CTD48; M77/4-CTD49; M77/4-CTD5; M77/4-CTD50; M77/4-CTD51; M77/4-CTD52; M77/4-CTD53; M77/4-CTD54; M77/4-CTD57; M77/4-CTD58; M77/4-CTD59; M77/4-CTD6; M77/4-CTD61; M77/4-CTD62; M77/4-CTD63; M77/4-CTD64; M77/4-CTD65; M77/4-CTD66; M77/4-CTD67; M77/4-CTD68; M77/4-CTD69; M77/4-CTD7; M77/4-CTD70; M77/4-CTD71; M77/4-CTD73; M77/4-CTD74; M77/4-CTD75; M77/4-CTD76; M77/4-CTD79; M77/4-CTD8; M77/4-CTD80; M77/4-CTD81; M77/4-CTD82; M77/4-CTD83; M77/4-CTD84; M77/4-CTD85; M77/4-CTD88; M77/4-CTD89; M77/4-CTD9; M77/4-CTD90; Meteor (1986); Nitrate; Nitrite; Nitrous oxide; Oxygen; Phosphate; Pressure, water; Salinity; Sample code/label; SFB754; Silicate; Temperature, water; δ15N, nitrate; δ15N, nitrite; δ15N, nitrite + nitrate
    Type: Dataset
    Format: text/tab-separated-values, 17959 data points
    Location Call Number Expected Availability
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  • 38
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    PANGAEA
    In:  Supplement to: Hoppe, Clara Jule Marie; Langer, Gerald; Rokitta, Sebastian D; Wolf-Gladrow, Dieter A; Rost, Björn (2012): Implications of observed inconsistencies in carbonate chemistry measurements for ocean acidification studies. Biogeosciences, 9, 2401-2405, https://doi.org/10.5194/bg-9-2401-2012
    Publication Date: 2024-05-22
    Description: The growing field of ocean acidification research is concerned with the investigation of organism responses to increasing pCO2 values. One important approach in this context is culture work using seawater with adjusted CO2 levels. As aqueous pCO2 is difficult to measure directly in small-scale experiments, it is generally calculated from two other measured parameters of the carbonate system (often AT, CT or pH). Unfortunately, the overall uncertainties of measured and subsequently calculated values are often unknown. Especially under high pCO2, this can become a severe problem with respect to the interpretation of physiological and ecological data. In the few datasets from ocean acidification research where all three of these parameters were measured, pCO2 values calculated from AT and CT are typically about 30% lower (i.e. ~300 µatm at a target pCO2 of 1000 µatm) than those calculated from AT and pH or CT and pH. This study presents and discusses these discrepancies as well as likely consequences for the ocean acidification community. Until this problem is solved, one has to consider that calculated parameters of the carbonate system (e.g. pCO2, calcite saturation state) may not be comparable between studies, and that this may have important implications for the interpretation of CO2 perturbation experiments.
    Keywords: Alkalinity, total; Carbon dioxide; EPOCA; European Project on Ocean Acidification; Mediterranean Sea Acidification in a Changing Climate; MedSeA; Method comment; pH; Phosphate; Salinity; Silicate; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 197 data points
    Location Call Number Expected Availability
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  • 39
    Publication Date: 2024-05-22
    Description: Ocean acidification (OA) may alter the behaviour of sediment-bound metals, modifying their bioavailability and thus toxicity. We provide the first experimental test of this hypothesis with the amphipod Corophium volutator. Amphipods were exposed to two test sediments, one with relatively high metals concentrations (sigma metals 239 mg/kg) and a reference sediment with lower contamination (sigma metals 82 mg/kg) under conditions that mimic current and projected conditions of OA (390 to 1140 μatm pCO2). Survival and DNA damage was measured in the amphipods, while the flux of labile metals was measured in the sediment and water column using Diffusive Gradients in Thin-films. The contaminated sediments became more acutely toxic to C. volutator under elevated pCO2 (1140 μatm). There was also a 2.7-fold increase in DNA damage in amphipods exposed to the contaminated sediment at 750 μatm pCO2, as well as increased DNA-damage in organisms exposed to the reference sediment, but only at 1140 μatm pCO2. The projected pCO2 concentrations increased the flux of nickel (Ni) and zinc (Zn) to labile states in the water column and pore water. However, the increase in metal flux at elevated pCO2 was equal between the reference and contaminated sediments or, occasionally, greater from reference sediments. Hence, the toxicological interaction between OA and contaminants could not be explained by effects of pH on metal speciation. We propose that the additive physiological effects of OA and contaminants will be more important than changes in metal speciation in determining the responses of benthos to contaminated sediments under OA. Our data demonstrate clear potential for near-future OA to increase the susceptibility of benthic ecosystems to contaminants. Environmental policy should consider contaminants within the context of changing environmental conditions. Specifically, sediment metals guidelines may need to be re-evaluated to afford appropriate environmental protection under future conditions of OA.
    Keywords: Alkalinity, total; Animalia; Aragonite saturation state; Arthropoda; Benthic animals; Benthos; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Corophium volutator; Dalgety_Bay; DEPTH, sediment, experiment; Elements; EXP; Experiment; Flux, standard deviation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Identification; Individuals; Inorganic toxins; Laboratory experiment; Metals, labile, flux; Metals, labile, flux, standard error; Mortality/Survival; North Atlantic; 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); pH; pH, standard deviation; Phosphate; Replicate; Salinity; Sediment type; Silicate; Single species; Species, unique identification; Survival; Temperate; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 15555 data points
    Location Call Number Expected Availability
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  • 40
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    PANGAEA
    In:  Supplement to: Hofmann, Laurie C; Straub, Susanne M; Bischof, Kai (2012): Competition between calcifying and noncalcifying temperate marine macroalgae under elevated CO2 levels. Marine Ecology Progress Series, 464, 89-105, https://doi.org/10.3354/meps09892
    Publication Date: 2024-05-22
    Description: Since pre-industrial times, uptake of anthropogenic CO2 by surface ocean waters has caused a documented change of 0.1 pH units. Calcifying organisms are sensitive to elevated CO2 concentrations due to their calcium carbonate skeletons. In temperate rocky intertidal environments, calcifying and noncalcifying macroalgae make up diverse benthic photoautotrophic communities. These communities may change as calcifiers and noncalcifiers respond differently to rising CO2 concentrations. In order to test this hypothesis, we conducted an 86 d mesocosm experiment to investigate the physiological and competitive responses of calcifying and noncalcifying temperate marine macroalgae to 385, 665, and 1486 µatm CO2. We focused on comparing 2 abundant red algae in the Northeast Atlantic: Corallina officinalis (calcifying) and Chondrus crispus (noncalcifying). We found an interactive effect of CO2 concentration and exposure time on growth rates of C. officinalis, and total protein and carbohydrate concentrations in both species. Photosynthetic rates did not show a strong response. Calcification in C. officinalis showed a parabolic response, while skeletal inorganic carbon decreased with increasing CO2. Community structure changed, as Chondrus crispus cover increased in all treatments, while C. officinalis cover decreased in both elevated-CO2 treatments. Photochemical parameters of other species are also presented. Our results suggest that CO2 will alter the competitive strengths of calcifying and noncalcifying temperate benthic macroalgae, resulting in different community structures, unless these species are able to adapt at a rate similar to or faster than the current rate of increasing sea-surface CO2 concentrations.
    Keywords: Alkalinity, total; Aragonite saturation state; Benthos; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbohydrates, insolube; Carbohydrates, insolube, in tissue; Carbohydrates, insolube/Carbohydrates, solube ratio; Carbohydrates, solube; Carbohydrates, solube, in tissue; Carbohydrates, total; Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Chlorophyll b; Chondrus crispus; Coast and continental shelf; Community composition and diversity; Containers and aquaria (20-1000 L or 〈 1 m**2); Corallina officinalis; Coverage; Derbesia marina; Dumontia incrassata; Electron transport rate, relative; Electron transport rate efficiency; Entire community; Fucus vesiculosus; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gross oxygen evolution, per chlorophyll a; Group; Growth/Morphology; Growth rate; Incubation duration; Irradiance; Laboratory experiment; Light saturation; Maximal electron transport rate, relative; Maximum photochemical quantum yield of photosystem II; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Petalonia sp.; pH; Phosphate; Phycocyanin; Phycoerythrin; Polysiphonia fucoides; Primary production/Photosynthesis; Proteins; Proteins, in tissue; Proteins/Carbohydrate ratio; Respiration; Respiration rate, oxygen; Rocky-shore community; Salinity; Sample ID; Sargassum muticum; Shannon Diversity Index; Silicate; Simpson index of diversity; Species; Spongomorpha; Temperate; Temperature, water; Treatment; Ulva Compress; Ulva linza; Yield
    Type: Dataset
    Format: text/tab-separated-values, 63689 data points
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  • 41
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    PANGAEA
    In:  Supplement to: Ray, Jessica L; Töpper, Birte; An, Shu; Silyakova, Anna; Spindelböck, Joachim; Thyrhaug, Runar; DuBow, Michael S; Thingstad, Tron Frede; Sandaa, Ruth-Anne (2012): Effect of increased pCO2 on bacterial assemblage shifts in response to glucose addition in Fram Strait seawater mesocosms. FEMS Microbiology Ecology, 82(3), 713-723, https://doi.org/10.1111/j.1574-6941.2012.01443.x
    Publication Date: 2024-05-22
    Description: Ocean acidification may stimulate primary production through increased availability of inorganic carbon in the photic zone, which may in turn change the biogenic flux of dissolved organic carbon (DOC) and the growth potential of heterotrophic bacteria. To investigate the effects of ocean acidification on marine bacterial assemblages, a two-by-three factorial mescosom experiment was conducted using surface sea water from the East Greenland Current in Fram Strait. Pyrosequencing of the V1-V2 region of bacterial 16S ribosomal RNA genes was used to investigate differences in the endpoint (Day 9) composition of bacterial assemblages in mineral nutrient-replete mesocosms amended with glucose (0 µm, 5.3 µm and 15.9 µm) under ambient (250 µatm) or acidified (400 µatm) partial pressures of CO2 (pCO2). All mesocosms showed low richness and diversity by Chao1 estimator and Shannon index, respectively, with general dominance by Gammaproteobacteria and Flavobacteria. Nonmetric multidimensional scaling analysis and two-way analysis of variance of the Jaccard dissimilarity matrix (97% similarity cut-off) demonstrated that the significant community shift between 0 µm and 15.9 µm glucose addition at 250 µatm pCO2 was eliminated at 400 µatm pCO2. These results suggest that the response potential of marine bacteria to DOC input may be altered under acidified conditions.
    Keywords: Algae abundance; Alkalinity, total; Aragonite saturation state; Arctic; Bacteria, abundance; Bacterial production; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Class; Community composition and diversity; Entire community; EXP; Experiment; Family; Field experiment; Fram_Strait_OA; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene expression (incl. proteomics); Incubation duration; Mesocosm or benthocosm; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Operational taxonomic unit; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Polar; Salinity; Sequence abundance; Sequence coverage; Silicate; Species; Temperature, water; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 112442 data points
    Location Call Number Expected Availability
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  • 42
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    PANGAEA
    In:  Supplement to: Lischka, Silke; Riebesell, Ulf (2012): Synergistic effects of ocean acidification and warming on overwintering pteropods in the Arctic. Global Change Biology, 18(12), 3517-3528, https://doi.org/10.1111/gcb.12020
    Publication Date: 2024-05-22
    Description: Ocean acidification and warming will be most pronounced in the Arctic Ocean. Aragonite shell-bearing pteropods in the Arctic are expected to be among the first species to suffer from ocean acidification. Carbonate undersaturation in the Arctic will first occur in winter and because this period is also characterized by low food availability, the overwintering stages of polar pteropods may develop into a bottleneck in their life cycle. The impacts of ocean acidification and warming on growth, shell degradation (dissolution), and mortality of two thecosome pteropods, the polar Limacina helicina and the boreal L. retroversa, were studied for the first time during the Arctic winter in the Kongsfjord (Svalbard). The abundance of L. helicina and L. retroversa varied from 23.5 to 120 ind /m2 and 12 to 38 ind /m2, and the mean shell size ranged from 920 to 981 µm and 810 to 823 µm, respectively. Seawater was aragonite-undersaturated at the overwintering depths of pteropods on two out of ten days of our observations. A 7-day experiment [temperature levels: 2 and 7 °C, pCO2 levels: 350, 650 (only for L. helicina) and 880 matm] revealed a significant pCO2 effect on shell degradation in both species, and synergistic effects between temperature and pCO2 for L. helicina. A comparison of live and dead specimens kept under the same experimental conditions indicated that both species were capable of actively reducing the impacts of acidification on shell dissolution. A higher vulnerability to increasing pCO2 and temperature during the winter season is indicated compared with a similar study from fall 2009. Considering the species winter phenology and the seasonal changes in carbonate chemistry in Arctic waters, negative climate change effects on Arctic thecosomes are likely to show up first during winter, possibly well before ocean acidification effects become detectable during the summer season.
    Keywords: Abundance per volume; Alkalinity, total; Animalia; Aragonite saturation state; Arctic; Bicarbonate ion; BIOACID; Biological Impacts of Ocean Acidification; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Category; DATE/TIME; Fugacity of carbon dioxide in seawater; Growth/Morphology; Laboratory experiment; Length; Limacina helicina; Limacina retroversa; Mollusca; Mortality; Mortality/Survival; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Polar; Replicate; Salinity; Sample code/label; Silicate; Single species; Species; Status; Temperature; Temperature, water; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 8971 data points
    Location Call Number Expected Availability
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  • 43
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    PANGAEA
    In:  Supplement to: Smith, Helen Elizabeth Katie; Tyrrell, Toby; Charalampopoulou, Anastasia; Dumousseaud, Cynthia; Legge, Oliver J; Birchenough, Sarah; Pettit, Laura Rachel; Garley, Rebecca; Hartman, Sue E; Hartman, Mark C; Sagoo, Navjit; Daniels, Chris J; Achterberg, Eric Pieter; Hydes, D J (2012): Predominance of heavily calcified coccolithophores at low CaCO3 saturation during winter in the Bay of Biscay. Proceedings of the National Academy of Sciences, 109(23), 8845-8849, https://doi.org/10.1073/pnas.1117508109
    Publication Date: 2024-05-22
    Description: Coccolithophores are an important component of the Earth system, and, as calcifiers, their possible susceptibility to ocean acidification is of major concern. Laboratory studies at enhanced pCO2 levels have produced divergent results without overall consensus. However, it has been predicted from these studies that, although calcification may not be depressed in all species, acidification will produce "a transition in dominance from more to less heavily calcified coccolithophores" [Ridgwell A, et al., (2009) Biogeosciences 6:2611-2623]. A recent observational study [Beaufort L, et al., (2011) Nature 476:80-83] also suggested that coccolithophores are less calcified in more acidic conditions. We present the results of a large observational study of coccolithophore morphology in the Bay of Biscay. Samples were collected once a month for over a year, along a 1,000-km-long transect. Our data clearly show that there is a pronounced seasonality in the morphotypes of Emiliania huxleyi, the most abundant coccolithophore species. Whereas pH and CaCO3 saturation are lowest in winter, the E. huxleyi population shifts from 〈10% (summer) to 〉90% (winter) of the heavily calcified form. However, it is unlikely that the shifts in carbonate chemistry alone caused the morphotype shift. Our finding that the most heavily calcified morphotype dominates when conditions are most acidic is contrary to the earlier predictions and raises further questions about the fate of coccolithophores in a high-CO2 world.
    Keywords: Alkalinity, total; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cell density; Cell density, standard error; Chromista; Coast and continental shelf; Coccoliths, overcalcified; Confidence interval; Coulometric titration; Counting; DATE/TIME; Emiliania huxleyi; Field observation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Haptophyta; LATITUDE; LONGITUDE; North Atlantic; Number of measurements; OA-ICC; Ocean Acidification International Coordination Centre; Open ocean; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphate; Phytoplankton; Potentiometric titration; Salinity; Silicate; Single species; Species; Temperate; Temperature, water; Volume
    Type: Dataset
    Format: text/tab-separated-values, 13730 data points
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  • 44
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-05-22
    Keywords: AT08_4-CTD1; AT08_4-CTD10; AT08_4-CTD11; AT08_4-CTD12; AT08_4-CTD13; AT08_4-CTD14; AT08_4-CTD15; AT08_4-CTD16; AT08_4-CTD17; AT08_4-CTD18; AT08_4-CTD19; AT08_4-CTD2; AT08_4-CTD20; AT08_4-CTD21; AT08_4-CTD22; AT08_4-CTD23; AT08_4-CTD24; AT08_4-CTD25; AT08_4-CTD26; AT08_4-CTD27; AT08_4-CTD28; AT08_4-CTD29; AT08_4-CTD3; AT08_4-CTD30; AT08_4-CTD31; AT08_4-CTD32; AT08_4-CTD33; AT08_4-CTD34; AT08_4-CTD35; AT08_4-CTD36; AT08_4-CTD37; AT08_4-CTD38; AT08_4-CTD39; AT08_4-CTD4; AT08_4-CTD40; AT08_4-CTD41; AT08_4-CTD42; AT08_4-CTD43; AT08_4-CTD44; AT08_4-CTD45; AT08_4-CTD46; AT08_4-CTD47; AT08_4-CTD48; AT08_4-CTD49; AT08_4-CTD5; AT08_4-CTD50; AT08_4-CTD6; AT08_4-CTD7; AT08_4-CTD8; AT08_4-CTD9; ATA08_04; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD, Sea-Bird; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; IFM-GEOMAR/4; L Atalante; Latitude of event; Longitude of event; Nitrate; Nitrite; Oxygen; Phosphate; Pressure, water; Salinity; Sample code/label; SFB754; Silicate; South Atlantic Ocean; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 7169 data points
    Location Call Number Expected Availability
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  • 45
    Publication Date: 2024-05-22
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Auto-analyzer, Technicon Traacs 800; Bicarbonate ion; Biomass/Abundance/Elemental composition; 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; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Carbon, organic, particulate/Nitrogen, organic, particulate ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure, standard deviation; Carbon dioxide, standard deviation; Chlorophyll a, standard deviation; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a/particulate organic carbon ratio, standard deviation; Chlorophyll a per cell; Chromista; Coulter Counter (Beckman Coulter); EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Experimental treatment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Light; Light:Dark cycle; Nitrate; Nitrate uptake rate, standard deviation; Nitrate uptake rate per cell; Nitrogen/Phosphorus ratio; Nitrogen/Phosphorus ratio, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic carbon, per cell; Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell; Particulate organic nitrogen per cell, standard deviation; Pelagos; pH; Phaeocystis globosa; Phosphate; Phosphate uptake rate, standard deviation; Phosphate uptake rate per cell; Photosynthetic efficiency; Photosynthetic efficiency, standard deviation; Phytoplankton; Potentiometric titration, VINDTA (marianda); Primary production/Photosynthesis; Radiation, photosynthetically active; Salinity; see reference(s); Silicate; Single species; Spectrofluorometry; Temperature, standard deviation; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 282 data points
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  • 46
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    PANGAEA
    In:  IFM-GEOMAR Leibniz-Institute of Marine Sciences, Kiel University
    Publication Date: 2024-05-22
    Keywords: Ammonium; Biogenic silica; Carbon, organic, particulate; Chlorophyll a; Climate - Biogeochemistry Interactions in the Tropical Ocean; CTD, Sea-Bird SBE 911plus; CTD/Rosette; CTD-RO; Date/Time of event; DEPTH, water; Event label; Latitude of event; Longitude of event; M77/3; M77/3-CTD1; M77/3-CTD10; M77/3-CTD100; M77/3-CTD101; M77/3-CTD102; M77/3-CTD103; M77/3-CTD104; M77/3-CTD105; M77/3-CTD106; M77/3-CTD107; M77/3-CTD108; M77/3-CTD109; M77/3-CTD11; M77/3-CTD110; M77/3-CTD12; M77/3-CTD13; M77/3-CTD14; M77/3-CTD15; M77/3-CTD16; M77/3-CTD18; M77/3-CTD19; M77/3-CTD2; M77/3-CTD20; M77/3-CTD21; M77/3-CTD22; M77/3-CTD23; M77/3-CTD24; M77/3-CTD25; M77/3-CTD26; M77/3-CTD27; M77/3-CTD28; M77/3-CTD29; M77/3-CTD3; M77/3-CTD30; M77/3-CTD31; M77/3-CTD32; M77/3-CTD33; M77/3-CTD34; M77/3-CTD35; M77/3-CTD36; M77/3-CTD37; M77/3-CTD38; M77/3-CTD39; M77/3-CTD4; M77/3-CTD40; M77/3-CTD41; M77/3-CTD42; M77/3-CTD43; M77/3-CTD44; M77/3-CTD45; M77/3-CTD46; M77/3-CTD47; M77/3-CTD48; M77/3-CTD49; M77/3-CTD5; M77/3-CTD50; M77/3-CTD51; M77/3-CTD53; M77/3-CTD54; M77/3-CTD55; M77/3-CTD56; M77/3-CTD57; M77/3-CTD58; M77/3-CTD59; M77/3-CTD6; M77/3-CTD60; M77/3-CTD61; M77/3-CTD62; M77/3-CTD63; M77/3-CTD64; M77/3-CTD65; M77/3-CTD66; M77/3-CTD67; M77/3-CTD68; M77/3-CTD69; M77/3-CTD7; M77/3-CTD70; M77/3-CTD71; M77/3-CTD72; M77/3-CTD74; M77/3-CTD75; M77/3-CTD76; M77/3-CTD77; M77/3-CTD78; M77/3-CTD79; M77/3-CTD8; M77/3-CTD80; M77/3-CTD81; M77/3-CTD82; M77/3-CTD83; M77/3-CTD84; M77/3-CTD85; M77/3-CTD86; M77/3-CTD87; M77/3-CTD88; M77/3-CTD89; M77/3-CTD9; M77/3-CTD90; M77/3-CTD91; M77/3-CTD92; M77/3-CTD93; M77/3-CTD94; M77/3-CTD95; M77/3-CTD96; M77/3-CTD97; M77/3-CTD98; M77/3-CTD99; Measured; Meteor (1986); Nitrate; Nitrite; Nitrogen, organic, dissolved; Nitrogen, organic, particulate; Nitrous oxide; Oxygen; Phosphate; Phosphate, organic, dissolved; Phosphorus, organic, particulate; Pressure, water; Salinity; Sample code/label; SFB754; Silicate; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 17633 data points
    Location Call Number Expected Availability
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  • 47
    Publication Date: 2024-05-22
    Keywords: Caribbean Sea; Center for Marine Environmental Sciences; Chlorophyll a; DEPTH, water; Eastern tropical Pacific; Event label; Galápagos Islands; GOS; GS000a; GS000b; GS000c; GS000d; GS001; GS002; GS003; GS004; GS005; GS006; GS007; GS008; GS009; GS010; GS011; GS012; GS013; GS014; GS015; GS016; GS017; GS018; GS019; GS020; GS021; GS022; GS023; GS025; GS026; GS027; GS028; GS029; GS030; GS031; GS032; GS033; GS034; GS035; GS036; GS037; GS047; GS048; GS049; GS051; GS108a; GS109; GS110; GS111; GS112; GS113; GS114; GS115; GS116; GS117; GS119; GS120; GS121; GS122; GS123; GS148; GS149; Indian Ocean; interpolated, GIS tools of the megx.net portal; MARUM; Measured in situ; Nitrate; North American East Coast; Oxygen; Panama Canal; Phosphate; Polynesia Archipelagos; Salinity; Sargasso Sea; Silicate; Sorcerer II; Temperature, water; Tropical South Pacific; Water sample; WS
    Type: Dataset
    Format: text/tab-separated-values, 413 data points
    Location Call Number Expected Availability
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  • 48
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    PANGAEA
    In:  Supplement to: Saderne, Vincent (2012): The ecological effect of CO2 on the brown algae Fucus serratus and its epibionts: From the habitat to the organismic scale. PhD Thesis, Christian-Albrechts-University of Kiel, Germany, 0-67, https://macau.uni-kiel.de/receive/diss_mods_00010109
    Publication Date: 2024-05-22
    Description: The brown algae Fucus serratus is one of the major meadow forming algae of the Western Baltic Sea nearshore ecosystem. At the end of summer, those meadows are exposed to local upwelling suddenly increasing the pCO2 and DIC up to 2500 µatm and 2250 µmol/kg resp., for period of days to weeks. This study investigates the growth response of summer's vegetative Fucus serratus to elevated pCO2 (1350 and 4080 µatm) during a 40 days laboratory incubation. After 10 days, increases of growth rates of 20 % and 47 % of the control were observed in the 1350 and 4080 µatm pCO2 treatments respectively. Beyond 20 days, the growth rates collapsed in all treatments due to nutrients shortage, as demonstrated by high C:N ratios (95:1) and low N tissue content (0.04 % of dry weight). The collapse occurs faster at higher pCO2. On day 30, growth rates were reduced by 40 % and 100 % relative to the control at 1350 and 4080 µatm respectively. These results are consistent with a fertilizing effect of elevated pCO2 on Fucus serratus presumably linked to the transition from active HCO3- to passive CO2(aq) uptake. This positive effect is limited by nutrients resources, low seawater dissolved inorganic N and P and shortage of the nutrients reserves accumulated over the previous autumn and winter.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Area; Baltic Sea; Benthos; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, total; Carbon/Nitrogen ratio; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Chromista; Coast and continental shelf; Containers and aquaria (20-1000 L or 〈 1 m**2); Coulometric titration; Duration, number of days; Eckernforder_Bay_OA; Effective photochemical quantum yield; Effective photochemical quantum yield, standard deviation; EXP; Experiment; Fucus serratus; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Laboratory experiment; Macroalgae; Nitrogen, inorganic; Nitrogen, inorganic, standard deviation; Nitrogen, total; Ochrophyta; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Phosphate; Phosphate, standard deviation; Potentiometric; Primary production/Photosynthesis; Replicate; Salinity; Salinity, standard deviation; Single species; Species; Temperate; Temperature, water; Temperature, water, standard deviation; Time of day; Treatment
    Type: Dataset
    Format: text/tab-separated-values, 8188 data points
    Location Call Number Expected Availability
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  • 49
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    PANGAEA
    In:  Supplement to: Abed, Raeid M M; Ramette, Alban; Hübner, Vera; De Deckker, Patrick; de Beer, Dirk (2012): Microbial diversity of eolian dust sources from saline lake sediments and biological soil crusts in arid Southern Australia. FEMS Microbiology Ecology, 80(2), 294-304, https://doi.org/10.1111/j.1574-6941.2011.01289.x
    Publication Date: 2024-05-22
    Description: While microbial communities of aerosols have been examined, little is known about their sources. Nutrient composition and microbial communities of potential dust sources, saline lake sediments (SLS) and adjacent biological soil crusts (BSC), from Southern Australia were determined and compared with a previously analyzed dust sample. Multivariate analyses of fingerprinting profiles indicated that the bacterial communities of SLS and BSC were different, and these differences were mainly explained by salinity. Nutrient concentrations varied among the sites but could not explain the differences in microbial diversity patterns. Comparison of microbial communities with dust samples showed that deflation selects against filamentous cyanobacteria, such as the Nostocales group. This could be attributed to the firm attachment of cyanobacterial filaments to soil particles and/or because deflation occurs mainly in disturbed BSC, where cyanobacterial diversity is often low. Other bacterial groups, such as Actinobacteria and the spore-forming Firmicutes, were found in both dust and its sources. While Firmicutes-related sequences were mostly detected in the SLS bacterial communities (10% of total sequences), the actinobacterial sequences were retrieved from both (11–13%). In conclusion, the potential dust sources examined here show highly diverse bacterial communities and contain nutrients that can be transported with aerosols. The obtained fingerprinting and sequencing data may enable back tracking of dust plumes and their microorganisms.
    Keywords: Ammonium; Area/locality; C11; C13; C15; C18; C20; C22; C24; C26; C27; C30; C34; C36; C4; C41; C43; C44; C45; C49; C6; C9; DEPTH, sediment/rock; Dutton_C4; Dutton_S1; Edward_C24; Edward_C26; Event label; Finniss_C9; Gairdner_C20; Gairdner_S19; Gairdner_South_C27; Gairdner_South_C30; Gairdner_South_S29; Gairdner_South_S31; Gilles_C43; Gilles_S42; Greenly_C41; Harris_C22; Harris_S21; Hart_C18; Hart_S17; Iron; Island_S10; Lagoon_C11; Latitude of event; Longitude of event; Menindee_C45; Menindee_C49; Menindee_S46; Menindee_S48; MULT; Multiple investigations; Mundi_Mundi_Plains_C44; Nitrate and Nitrite; Nitrite; Nutrient analyzer, Skalar Analytical GmbH, San Plus; Pan_C15; Pan_S14; Pernatty_C6; Pernatty_S5; Phosphate; Round_S38; S1; S10; S12; S14; S17; S19; S21; S29; S31; S38; S42; S46; S48; S5; Salinity; Sample code/label; Sample type; Scrubby_Peak_C34; Silicate; South Australia; Spectrophotometer (UV-160A, Shimadzu); Torrens_C13; Torrens_S12; Yaninee_C36
    Type: Dataset
    Format: text/tab-separated-values, 320 data points
    Location Call Number Expected Availability
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  • 50
    Publication Date: 2024-05-21
    Description: Abstract
    Description: The ScanArray experiment is a major collaborative effort of institutions in Scandinavia and Germany to map crustal and mantle structure below Scandinavia using a dense temporary deployment of broadband seismometers. Scientific questions to be addressed include (among others): 1. What supports the topographic high of the Scandes? 2. How does lithospheric thickness vary within Fennoscandia? 3. What is the internal fabric of the mantle lithosphere? 4. Are there differences in the crustal structure between the different blocks of Fennoscandia? This data set, termed ScanArray core, comprises the temporary stations deployed by the University of Copenhagen, the University of Aarhus, and the University of Oslo, the Karlsruhe Institute of Technology (KIT) and the GeoForschungsZentrum Potsdam (GFZ) as part of the ScanArray experiment. Stations within this dataset are deployed for periods between 2 and 4 years. Data are available from the GFZ seismological data archive with network code 1G. Waveform data will be fully opened in early 2020. The wider ScanArray dataset additionally includes the multi-use temporary deployments Neonor2 (FDSN-code 2D, University of Bergen, NORSAR) and ScanLips3D (University of Leicester; archived at IRIS DMC), and the permanent networks of Sweden (UP, SNSN), Norway (NS, NNSN), Denmark (DK, DNSN) and Finland (HE, FNSN) as well as a subset of NORSAR stations (NO). The SNSN rearranged the distribution of broadband seismometers and deployed additional temporary stations to meet the objectives of the ScanArray experiment. ScanArray core and these other networks (except ScanLips3D) jointly form the virtual network _SCANARRAY. Partners of the ScanArray consortium are: University of Aarhus, Uppsala University, University of Oslo, University of Bergen, Karlsruhe Institute of Technology, NORSAR, University of Copenhagen, Deutsches GeoForschungsZentrum (GFZ) and Istanbul Technical University.
    Keywords: Lithosphere ; Monitoring system ; Seismological stations ; In Situ/Laboratory Instruments 〉 Magnetic/Motion Sensors 〉 Seismometers ; In Situ Land-based Platforms 〉 GEOPHYSICAL STATIONS/NETWORKS ; Passive seismic ; Seismometers ; Velocity ; MiniSEED ; GIPP ; MESI
    Type: Dataset , Seismic Network
    Format: 1200GB
    Format: .mseed
    Format: XML
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