Management of (pale-)oceanographic data sets using the PANGAEA information system: the SINOPS example

Dittert, Nicolas; Corrin, Lydie; Diepenbroek, Michael; Grobe, Hannes; Heinze, Christoph; Ragueneau, Olivier

doi:10.1016/s0098-3004(01)00112-1

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…RCOM0139 and through Grant Ku 683/6. We would particularly like to acknowledge both the SINOPS project [80] and the Pangaea databank (http://www.pangaea.de) for making a great deal of opal data electronically available to the …”

Section: Acknowledgementsmentioning

confidence: 99%

Opal sedimentation shifts in the World Ocean over the last 15 Myr

Cortese

Gersonde

Hillenbrand

et al. 2004

Earth and Planetary Science Letters

148

130

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Biogenic silica (opal) accumulation records were used to trace mechanisms, consequence, and geographic pattern of shifts in the main locus of opal deposition of the World Ocean over the last 15 Myr. Over this time interval, the main opal ''sink'' seems to have moved from the North Atlantic, to the Pacific, equatorial Pacific, eastern equatorial Pacific, eastern boundary current upwelling systems (California, Namibia, Peru), and finally to the Southern Ocean. The interplay between opal deposition and a series of climatic, tectonic, oceanographic, and biologic events has been analyzed and discussed. These events include the Cenozoic global cooling trend, intensified glaciation in Antarctica, Late Miocene -Early Pliocene biogenic bloom, development of Northern Hemisphere Glaciation (NHG), closing of the Panama Seaway, transition of the climate system from a monopolarto a bipolar-glaciated world, Mid-Pleistocene Revolution (MPR), nutrient availability, evolution of diatoms and C4 plants, and changes in continental weathering rates. While the observed shifts are mostly traceable to oceanic reorganizations and global climatic evolution, conditions favorable to opal deposition involve the above-mentioned complex mix of processes. For this reason, the interpretation of opal deposition records might not always be straightforward. We, however, believe that it can still provide clear indications of large-scale oceanographic reorganizations in the geological past. D

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Section: Acknowledgementsmentioning

confidence: 99%

Opal sedimentation shifts in the World Ocean over the last 15 Myr

Cortese

Gersonde

Hillenbrand

et al. 2004

Earth and Planetary Science Letters

148

130

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“…Meta‐information and analytical data were mapped on an n‐dimensional catalogue in order to itemize the analytical value and to serve as unambiguous identifier [cf. Dittert et al , 2002]. In practice, data management was carried out by means of the online‐accessible information system Pan‐European Network for Geological and Environmental Data (PANGAEA; http://www.pangaea.de/).…”

Section: Database Of Observationsmentioning

confidence: 99%

Sensitivity of the marine biospheric Si cycle for biogeochemical parameter variations

Heinze

Hupe

Maier‐Reimer

et al. 2003

Global Biogeochemical Cycles

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[1] A systematic quantitative assessment of the marine silicon cycle is presented, based on a prognostic coupled water column-sediment global biogeochemical ocean general circulation model (HAMOCC). The resulting tracer distributions are compared with a comprehensive marine Si database of measurements. The model parameters which govern the Si cycle within the model world are optimized through a linear response model. The functional relationships between the Si cycle parameters and the Si tracer distributions are derived from a series of sensitivity experiments addressing opal export production, particle flux through the water column, porewater chemistry, and external biogeochemical forcing. The most important parameters for a further quantitative improvement of the simulation are depth-dependent opal dissolution kinetics, a productivity-dependent opal settling velocity, a general change in maximum Si uptake velocity V max opal , and the clay as well as the Si input from continental weathering. The modeled Si budget shows a larger global export production, larger opal deposition rates onto the sediment surface and higher diffusive transports of porewater silicic acid into the open water column as estimated by Tréguer et al. [1995].

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“…org/board?t=argo, last access: 1 August 2023; Roemmich et al;, Boening et al, 2008 are good examples of initiatives that facilitate the integration of multiple resources to enhance the analysis and interpretation of physicochemical data. The availability of high-quality, long-term observational data and the establishment of open-access data centers such as PANGAEA (https://www.pangaea.de/, last access: 1 August 2023; Dittert et al, 2002;Diepenbroek et al, 2002) or the World Ocean Database (WOA; https:// www.ncei.noaa.gov/products/world-ocean-database, last access: 1 August 2023) enable chemical ocean data to be shared in larger, increasingly global contexts. Open access to these data repositories is critical to fostering scientific collaboration and progress.…”

Section: Perspectives In Chemistrymentioning

confidence: 99%

Big data in Antarctic sciences – current status, gaps, and future perspectives

Graiff,

Braun,

Driemel

et al. 2023

Polarforschung

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Abstract. This paper was initiated by a multidisciplinary Topic Workshop in the frame of the Deutsche Forschungsgemeinschaft Priority Program 1158 “Antarctic Research with Comparative Investigations in Arctic Ice Areas”, and hence it represents only the national view without claiming to be complete but is intended to provide awareness and suggestions for the current discussion on so-called big data in many scientific fields. The importance of the polar regions and their essential role for the Earth system are both undoubtedly recognized. However, dramatic changes in the climate and environment have been observed first in the Arctic and later in Antarctica over the past few decades. While important data have been collected and observation networks have been built in Antarctica and the Southern Ocean, this is a relatively data-scarce region due to the challenges of remote data acquisition, expensive labor, and harsh environmental conditions. There are many approaches crossing multiple scientific disciplines to better understand Antarctic processes; to evaluate ongoing climatic and environmental changes and their manifold ecological, physical, chemical, and geological consequences; and to make (improved) predictions. Together, these approaches generate very large, multivariate data sets, which can be broadly classified as “Antarctic big data”. For these large data sets, there is a pressing need for improved data acquisition, curation, integration, service, and application to support fundamental scientific research. Based on deficiencies in crossing disciplines and to attract further interest in big data in Antarctic sciences, this article will (i) describe and evaluate the current status of big data in various Antarctic-related scientific disciplines, (ii) identify current gaps, (iii) and provide solutions to fill these gaps.

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Management of (pale-)oceanographic data sets using the PANGAEA information system: the SINOPS example

Cited by 6 publications

References 17 publications

Opal sedimentation shifts in the World Ocean over the last 15 Myr

Opal sedimentation shifts in the World Ocean over the last 15 Myr

Sensitivity of the marine biospheric Si cycle for biogeochemical parameter variations

Big data in Antarctic sciences – current status, gaps, and future perspectives

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