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  • Arctic Biodiversity & Livelihoods; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); biology; chemical oceanography; Cryosphere; FACE-IT; File content; physical oceanography; Social-science  (2)
  • 310-M0018A; DEPTH, sediment/rock; DP Hunter; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp310; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Number; Sample amount; Sample code/label; Sample ID; TAH-03A-1E; Tahiti, offshore Maraa; Tahiti Sea Level; δ44/40 Ca; δ44/40 Ca, standard deviation  (1)
  • Acropora sp.; Alkalinity, total; Alkalinity anomaly technique (Smith and Key, 1975); Animalia; Aragonite saturation; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcium; Calculated; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cnidaria; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gross calcification rate of calcium carbonate; Laboratory experiment; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Salinity; Single species; Species; Stylophora pistillata; Temperature, water  (1)
Collection
Keywords
Publisher
Years
  • 1
    Publication Date: 2023-07-13
    Keywords: 310-M0018A; DEPTH, sediment/rock; DP Hunter; DRILL; Drilling/drill rig; DSDP/ODP/IODP sample designation; Exp310; Integrated Ocean Drilling Program / International Ocean Discovery Program; IODP; Number; Sample amount; Sample code/label; Sample ID; TAH-03A-1E; Tahiti, offshore Maraa; Tahiti Sea Level; δ44/40 Ca; δ44/40 Ca, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 150 data points
    Location Call Number Expected Availability
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  • 2
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    Unknown
    PANGAEA
    In:  Supplement to: Gattuso, Jean-Pierre; Frankignoulle, Michel; Bourge, I; Romaine, S; Buddemeier, Robert W (1998): Effect of calcium carbonate saturation of seawater on coral calcification. Global and Planetary Change, 18, 37-46, https://doi.org/10.1016/S0921-8181(98)00035-6
    Publication Date: 2024-03-15
    Description: The carbonate chemistry of seawater is usually not considered to be an important factor influencing calcium-carbonate-precipitation by corals because surface seawater is supersaturated with respect to aragonite. Recent reports, however, suggest that it could play a major role in the evolution and biogeography of recent corals. We investigated the calcification rates of five colonies of the zooxanthellate coral Stylophora pistillata in synthetic seawater using the alkalinity anomaly technique. Changes in aragonite saturation from 98% to 585% were obtained by manipulating the calcium concentration. The results show a nonlinear increase in calcification rate as a function of aragonite saturation level. Calcification increases nearly 3-fold when aragonite saturation increases from 98% to 390%, i.e., close to the typical present saturation state of tropical seawater. There is no further increase of calcification at saturation values above this threshold. Preliminary data suggest that another coral species, Acropora sp., displays a similar behaviour. These experimental results suggest: (1) that the rate of calcification does not change significantly within the range of saturation levels corresponding to the last glacial-interglacial cycle, and (2) that it may decrease significantly in the future as a result of the decrease in the saturation level due to anthropogenic release of CO2 into the atmosphere. Experimental studies that control environmental conditions and seawater composition provide unique opportunities to unravel the response of corals to global environmental changes.
    Keywords: Acropora sp.; Alkalinity, total; Alkalinity anomaly technique (Smith and Key, 1975); Animalia; Aragonite saturation; Aragonite saturation state; Benthic animals; Benthos; Bicarbonate ion; Bottles or small containers/Aquaria (〈20 L); Calcification/Dissolution; Calcite saturation state; Calcium; Calculated; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Cnidaria; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gross calcification rate of calcium carbonate; Laboratory experiment; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; Salinity; Single species; Species; Stylophora pistillata; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 510 data points
    Location Call Number Expected Availability
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  • 3
    Publication Date: 2024-04-23
    Description: The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic lacks for in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled with many cruise expeditions every year. For example, the GLODAP product has a greater density of in situ sample points within the Arctic than along the equator. While this is useful for open ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled, but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (Findable, Accessible, Interoperable, and Reusable) data. To address this issue a single dataset has been created from publicly available, predominantly in situ data from a number of online platforms. After finding and accessing the data, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it itself can be findable and reusable into the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. After receiving feedback on this process and the dataset itself, a second version (v2.0) has been created.
    Keywords: Arctic Biodiversity & Livelihoods; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); biology; chemical oceanography; Cryosphere; FACE-IT; File content; physical oceanography; Social-science
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
    Location Call Number Expected Availability
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  • 4
    Publication Date: 2024-04-23
    Description: The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic lacks for in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled with many cruise expeditions every year. For example, the GLODAP product has a greater density of in situ sample points within the Arctic than along the equator. While this is useful for open ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled, but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (Findable, Accessible, Interoperable, and Reusable) data. To address this issue a single dataset has been created from publicly available, predominantly in situ data from a number of online platforms. After finding and accessing the data, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it itself can be findable and reusable into the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. This dataset is a work in progress and as new datasets containing the relevant key drivers are released they will be added to an updated version planned for late 2024.
    Keywords: Arctic Biodiversity & Livelihoods; Binary Object; Binary Object (File Size); Binary Object (MD5 Hash); Binary Object (Media Type); biology; chemical oceanography; Cryosphere; FACE-IT; File content; physical oceanography; Social-science
    Type: Dataset
    Format: text/tab-separated-values, 10 data points
    Location Call Number Expected Availability
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