PANGAEA_995222 Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard, since 2012 Fischer, Philipp; Lienkämper, Miriam; Schwanitz, Max; Posner, Uwe; Brand, Markus; Brix, Holger Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard, since 2012 2026-06-12 PANGAEA Dataset https://doi.pangaea.de/10.1594/PANGAEA.995222 Earth Science geoscientificInformation 2012-06-17 2024-12-31 Complete 78.93044700000002 78.93044700000002 11.919041999999992 11.919041999999992 CSD Centre for Scientific Diving COSYNA Coastal Observing System for Northern and Arctic Seas HZG Helmholtz-Zentrum Geesthacht, Institute of Coastal Research MOSES Modular Observation Solutions for Earth Systems SIOS_SWESOS Near real-time observations of snow water equivalent for SIOS on Svalbard BAH Shelf Seas Systems Ecology @ AWI (former Biologische Anstalt Helgoland) unrestricted CC-BY-4.0: Creative Commons Attribution 4.0 International English PANGAEA Data Publisher for Earth & Environmental Science https://www.pangaea.de/ Data Center Contact Michael Diepenbroek info@pangaea.de

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Bremen Bremen 28359 Germany online 13 datasets application/zip Baschek, Burkard; Schroeder, Friedhelm; Brix, Holger; Riethmüller, Rolf; Badewien, Thomas Henry; Breitbach, Gisbert; Brügge, Bernd; Colijn, Franciscus; Doerffer, Roland; Eschenbach, Christiane; Friedrich, Jana; Fischer, Philipp; Garthe, Stefan; Horstmann, Jochen; Krasemann, Hansjörg; Metfies, Katja; Merckelbach, Lucas; Ohle, Nino; Petersen, Wilhelm; Pröfrock, Daniel; Röttgers, Rüdiger; Schlüter, Michael; Schulz, Jan; Schulz-Stellenfleth, Johannes; Stanev, Emil V; Staneva, Joanna; Winter, Christian; Wirtz, Kai W; Wollschläger, Jochen; Zielinski, Oliver; Ziemer, Friedwart (2017): The Coastal Observing System for Northern and Arctic Seas (COSYNA). Ocean Science, 13(3), 379-410, https://doi.org/10.5194/os-13-379-2017 Fischer, Philipp (2020): Intelligent Sensor Technology: A 'Must-Have' for Next-Century Marine Science. In: Kirchner F., Straube S., Kühn D., Hoyer N. (eds) AI Technology for Underwater Robots. Intelligent Systems, Control and Automation: Science and Engineering, 96, https://doi.org/10.1007/978-3-030-30683-0_2 Fischer, Philipp; Brix, Holger; Bussmann, Ingeborg; Ködel, Uta; Schwanitz, Max; Schütze, Claudia; Anselm, Norbert; Brand, Markus; Jenniges, Yvonne; Kasten, Sabine; Kraberg, Alexandra Claudia; Lienkämper, Miriam; Spotowitz, Lisa; Weber, Ute; Wiltshire, Karen Helen; Dietrich, Peter (2025): Effects of marine heat waves and cold spells on a polar shallow water ecosystem. Scientific Reports, 15(1), 20168, https://doi.org/10.1038/s41598-025-05621-w Fischer, Philipp; Dietrich, Peter; Achterberg, Eric Pieter; Anselm, Norbert; Brix, Holger; Bussmann, Ingeborg; Eickelmann, Laura; Flöser, Götz; Friedrich, Madlen; Rust, Hendrik; Schütze, Claudia; Koedel, Uta (2021): Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis. Frontiers in Marine Science, 8, https://doi.org/10.3389/fmars.2021.770977 Fischer, Philipp; Schwanitz, Max; Loth, Reiner; Posner, Uwe; Brand, Markus; Schroeder, Friedhelm (2017): First year of practical experiences of the new Arctic AWIPEV-COSYNA cabled Underwater Observatory in Kongsfjorden, Spitsbergen. Ocean Science, 13(2), 259-272, https://doi.org/10.5194/os-13-259-2017 Koedel, Uta; Schütze, Claudia; Fischer, Philipp; Bussmann, Ingeborg; Sauer, Philip K; Nixdorf, Erik; Kalbacher, Thomas; Wichert, Viktoria; Rechid, Diana; Bouwer, Laurens M; Dietrich, Peter (2022): Challenges in the Evaluation of Observational Data Trustworthiness From a Data Producers Viewpoint (FAIR+). Frontiers in Environmental Science, 9, 772666, https://doi.org/10.3389/fenvs.2021.772666 Waldmann, Christoph; Fischer, Philipp; Seitz, Steffen; Köllner, Manuela; Fischer, Jens-Georg; Bergenthal, Markus; Brix, Holger; Weinreben, Stefan; Huber, Robert (2022): A methodology to uncertainty quantification of essential ocean variables. Frontiers in Marine Science, 9, 1002153, https://doi.org/10.3389/fmars.2022.1002153

This dataset contains annual oceanographic observations collected at the AWIPEV underwater observatory (78°54.200′ N, 11°54.000′ E; WGS84) from 2012 onwards. Measurements include water temperature, salinity, oxygen saturation, chlorophyll-a concentration, and turbidity. The observatory is located at a water depth of approximately 12 m (± tidal variation) and is equipped with one or more sensors for each measured parameter. Observations are recorded at an hourly temporal resolution. All data have undergone quality control using the four-step plausibility and quality assurance procedure described by Waldmann et al. (2022). The cabled observatory infrastructure comprises single or multiple sensors for each parameter and enables continuous long-term environmental monitoring in Kongsfjorden, Svalbard. For comprehensive information on instrumentation, sensor deployment, calibration procedures, data processing, and quality control, please refer to the annual metadata documents entitled metadata_svulobs_yyyy_hydrography.pdf associated with each yearly dataset. ** For all details see the full metadata description at "https://doi.pangaea.de/10.1594/PANGAEA.995222"!

https://doi.org/10.1007/978-3-030-30683-0_2 Intelligent Sensor Technology: A 'Must-Have' for Next-Century Marine Science https://doi.org/10.1038/s41598-025-05621-w Effects of marine heat waves and cold spells on a polar shallow water ecosystem https://doi.org/10.3389/fenvs.2021.772666 Challenges in the Evaluation of Observational Data Trustworthiness From a Data Producers Viewpoint (FAIR+) https://doi.org/10.3389/fmars.2021.770977 Effects of Measuring Devices and Sampling Strategies on the Interpretation of Monitoring Data for Long-Term Trend Analysis https://doi.org/10.3389/fmars.2022.1002153 A methodology to uncertainty quantification of essential ocean variables https://doi.org/10.5194/os-13-259-2017 First year of practical experiences of the new Arctic AWIPEV-COSYNA cabled Underwater Observatory in Kongsfjorden, Spitsbergen https://doi.org/10.5194/os-13-379-2017 The Coastal Observing System for Northern and Arctic Seas (COSYNA) https://sios-svalbard.org/SWESOS_2020 SIOS_SWESOS https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology.html BAH https://www.awi.de/en/science/special-groups/scientific-diving.html CSD https://www.hereon.de/ HZG https://www.hereon.de/institutes/carbon_cycles/cosyna/ COSYNA https://www.ufz.de/moses/ MOSES DIF 9.4 2026-06-12 2026-06-24