Fischer, Philipp; Lienkämper, Miriam; Brand, Markus; Bussmann, Ingeborg; Brix, Holger (2025): Hydrographical time series data of Helgoland, Southern North Sea, 2024 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.986331
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Published: 2025-09-26 • DOI registered: 2025-09-26
Abstract:
The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the Helgoland MarGate underwater observatory from the year 2024 in a temporal resolution of 1 hour. The cabled observatory is located in 10m water depth and comprises single or multiple sensors for a specific parameter (see https://www.awi.de/en/science/biosciences/shelf-sea-system-ecology/main-research-focus/cosyna/underwater-node-helgoland.html). For a detailed description of the data see associated metadatafile metadata_heluwobs_2024_hydrography.pdf.
Keyword(s):
Related to:
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
Buck, Justin James Henry; Bainbridge, Scott J; Burger, Eugene F; Kraberg, Alexandra Claudia; Casari, Matthew; Casey, Kenneth S; Darroch, Louise; Del Rio, Joaquin; Metfies, Katja; Delory, Eric; Fischer, Philipp; Gardner, Thomas; Heffernan, Ryan; Jirka, Simon; Kokkinaki, Alexandra; Loebl, Martina; Buttigieg, Pier Luigi; Pearlman, Jay S; Schewe, Ingo (2019): Ocean Data Product Integration Through Innovation-The Next Level of Data Interoperability. Frontiers in Marine Science, 6, 82-92, https://doi.org/10.3389/fmars.2019.00032
Bussmann, Ingeborg; Brix, Holger; Flöser, Götz; Fischer, Philipp; Jayachandran, Saranya; Achterberg, Eric Pieter; Carstens, Kristine; Kirstein, Inga Vanessa; Sanders, Tina; Raupers, Björn; Voynova, Yoana G; Kamjunke, Norbert (2025): Winter flood significantly changes salinity and nutrient export from land to sea. Frontiers in Marine Science, 12, 1599007, https://doi.org/10.3389/fmars.2025.1599007
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; Baschek, Burkard; Kraberg, Alexandra Claudia; Brand, Markus; Cisewski, Boris; Riethmüller, Rolf; Breitbach, Gisbert; Möller, Klas Ove; Gattuso, Jean-Pierre; Alliouane, Samir; van De Poll, Willem H; Witbaard, Rob (2020): Operating Cabled Underwater Observatories in Rough Shelf-Sea Environments: A Technological Challenge. Frontiers in Marine Science, 7, https://doi.org/10.3389/fmars.2020.00551
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; Gramelsberger, Gabriele; Hoffmann, Christoph; Hoffmann, Hans; Rheinberger, Hans-Jörg; Rickli, Hannes (2020): Natures of Data. Zürich, Diaphanes, 168, hdl:10013/epic.06e24ad7-b885-4ff6-8dd7-99c0cda25804
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
Tsabaris, Christos; Alexakis, Stylianos; Lienkämper, Miriam; Schwanitz, Max; Brand, Markus; Ntoumas, Manolis; Patiris, Dionisis L; Androulakaki, Effrosyni G; Fischer, Philipp (2025): The Integration of a Medium-Resolution Underwater Radioactivity System in the COSYNA Observing System at Helgoland Island, Germany. Journal of Marine Science and Engineering, 13(3), 516, https://doi.org/10.3390/jmse13030516
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
Weber, Ute; Attinger, Sabine; Baschek, Burkard; Boike, Julia; Borchardt, Dietrich; Brix, Holger; Brüggemann, Nicolas; Bussmann, Ingeborg; Dietrich, Peter; Fischer, Philipp; Greinert, Jens; Hajnsek, Irena; Kamjunke, Norbert; Kerschke, Dorit; Kiendler-Scharr, Astrid; Körtzinger, Arne; Kottmeier, Christoph; Merz, Bruno; Merz, Ralf; Riese, Martin; Schloter, Michael; Schmid, HaPe; Schnitzler, Jörg-Peter; Sachs, Torsten; Schütze, Claudia; Tillmann, Ralf; Vereecken, Harry; Wieser, Andreas; Teutsch, Georg (2022): MOSES: A Novel Observation System to Monitor Dynamic Events across Earth Compartments. Bulletin of the American Meteorological Society, 103(2), E339-E348, https://doi.org/10.1175/bams-d-20-0158.1
Additional metadata:
Further details:
Project(s):
DAM mareXtreme - ElbeXtreme: Monitoring and modelling of extreme events in the Elbe estuary and the German Bight (ElbeXtreme)
MarGate (MarGate)
Funding:
Federal Ministry of Research, Technology and Space (BMFTR), grant/award no. 03F0954B: DAM mareXtreme - ElbeXtreme, AWI
Coverage:
Latitude: 54.183300 * Longitude: 7.866700
Date/Time Start: 2024-01-01T00:00:00 * Date/Time End: 2024-12-31T23:00:00
Minimum Elevation: -10.0 m * Maximum Elevation: -10.0 m
Event(s):
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | DATE/TIME | Date/Time | Geocode | |||
| 2 | Temperature, water | Temp | °C | See further details: Metadata for the Helgoland underwater observatory | ||
| 3 | Temperature, water, confidence value | Temp conf | ± | See further details: Metadata for the Helgoland underwater observatory | 90% confidence value | |
| 4 | Salinity | Sal | See further details: Metadata for the Helgoland underwater observatory | PSU | ||
| 5 | Salinity, confidence value | Sal conf | ± | See further details: Metadata for the Helgoland underwater observatory | 90% confidence value | |
| 6 | Chlorophyll a | Chl a | µg/l | See further details: Metadata for the Helgoland underwater observatory | ||
| 7 | Chlorophyll a, confidence value | Chl a conf | ± | See further details: Metadata for the Helgoland underwater observatory | 90% confidence value | |
| 8 | Oxygen saturation | O2 sat | % | See further details: Metadata for the Helgoland underwater observatory | ||
| 9 | Oxygen saturation, confidence value | O2 sat conf | ± | See further details: Metadata for the Helgoland underwater observatory | 90% confidence value | |
| 10 | Turbidity (Formazin Turbidity Unit) | Turbidity | FTU | See further details: Metadata for the Helgoland underwater observatory | ||
| 11 | Turbidity, confidence value | Turbidity conf | ± | See further details: Metadata for the Helgoland underwater observatory | 90% confidence value |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
71712 data points
Download Data
View dataset as HTML (shows only first 2000 rows)