Hydrographical time series data of Helgoland, Southern North Sea, 2020 ...
The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the Helgoland MarGate underwater observatory from the year 2020 in a temporal resolution of 1 hour. The cabled observatory is located in 10m water depth and comprises single or multiple sensors for a...
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2021
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Online Access: | https://dx.doi.org/10.1594/pangaea.933714 https://doi.pangaea.de/10.1594/PANGAEA.933714 |
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ftdatacite:10.1594/pangaea.933714 2023-11-05T03:39:41+01:00 Hydrographical time series data of Helgoland, Southern North Sea, 2020 ... Fischer, Philipp Brand, Markus Friedrich, Madlen Eickelmann, Laura Lienkämper, Miriam Spotowitz, Lisa Anselm, Norbert Bussmann, Ingeborg Posner, Uwe Schwanitz, Max Brix, Holger Baschek, Burkard 2021 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.933714 https://doi.pangaea.de/10.1594/PANGAEA.933714 en eng PANGAEA https://dx.doi.org/10.5194/os-13-379-2017 https://dx.doi.org/10.1007/s00300-016-2022-y https://dx.doi.org/10.3389/fmars.2019.00032 https://dx.doi.org/10.1007/978-3-030-30683-0_2 https://dx.doi.org/10.3389/fmars.2020.00551 https://dx.doi.org/10.5194/os-13-259-2017 https://dx.doi.org/10.1016/j.marenvres.2012.10.013 Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 ACROSS Alfred-Wegener-Institute in situ data MarGate underwater experimental area MOSES Observatory Scientific diving DATE/TIME Temperature, water Temperature, water, confidence value Salinity Salinity, confidence value Chlorophyll a Chlorophyll a, confidence value Oxygen saturation Oxygen saturation, confidence value Turbidity Formazin Turbidity Unit Turbidity, confidence value Observation See further details Metadata for the Helgoland underwater observatory Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA Helmholtz-Zentrum Geesthacht, Institute of Coastal Research HZG MarGate MarGate Modular Observation Solutions for Earth Systems MOSES Shelf Seas Systems Ecology @ AWI former Biologische Anstalt Helgoland BAH Dataset dataset 2021 ftdatacite https://doi.org/10.1594/pangaea.93371410.5194/os-13-379-201710.1007/s00300-016-2022-y10.3389/fmars.2019.0003210.1007/978-3-030-30683-0_210.3389/fmars.2020.0055110.5194/os-13-259-201710.1016/j.marenvres.2012.10.013 2023-10-09T11:03:47Z The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the Helgoland MarGate underwater observatory from the year 2020 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_description_heluwobs_data_2020.pdf" ... Dataset Arctic DataCite Metadata Store (German National Library of Science and Technology) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
ACROSS Alfred-Wegener-Institute in situ data MarGate underwater experimental area MOSES Observatory Scientific diving DATE/TIME Temperature, water Temperature, water, confidence value Salinity Salinity, confidence value Chlorophyll a Chlorophyll a, confidence value Oxygen saturation Oxygen saturation, confidence value Turbidity Formazin Turbidity Unit Turbidity, confidence value Observation See further details Metadata for the Helgoland underwater observatory Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA Helmholtz-Zentrum Geesthacht, Institute of Coastal Research HZG MarGate MarGate Modular Observation Solutions for Earth Systems MOSES Shelf Seas Systems Ecology @ AWI former Biologische Anstalt Helgoland BAH |
spellingShingle |
ACROSS Alfred-Wegener-Institute in situ data MarGate underwater experimental area MOSES Observatory Scientific diving DATE/TIME Temperature, water Temperature, water, confidence value Salinity Salinity, confidence value Chlorophyll a Chlorophyll a, confidence value Oxygen saturation Oxygen saturation, confidence value Turbidity Formazin Turbidity Unit Turbidity, confidence value Observation See further details Metadata for the Helgoland underwater observatory Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA Helmholtz-Zentrum Geesthacht, Institute of Coastal Research HZG MarGate MarGate Modular Observation Solutions for Earth Systems MOSES Shelf Seas Systems Ecology @ AWI former Biologische Anstalt Helgoland BAH Fischer, Philipp Brand, Markus Friedrich, Madlen Eickelmann, Laura Lienkämper, Miriam Spotowitz, Lisa Anselm, Norbert Bussmann, Ingeborg Posner, Uwe Schwanitz, Max Brix, Holger Baschek, Burkard Hydrographical time series data of Helgoland, Southern North Sea, 2020 ... |
topic_facet |
ACROSS Alfred-Wegener-Institute in situ data MarGate underwater experimental area MOSES Observatory Scientific diving DATE/TIME Temperature, water Temperature, water, confidence value Salinity Salinity, confidence value Chlorophyll a Chlorophyll a, confidence value Oxygen saturation Oxygen saturation, confidence value Turbidity Formazin Turbidity Unit Turbidity, confidence value Observation See further details Metadata for the Helgoland underwater observatory Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA Helmholtz-Zentrum Geesthacht, Institute of Coastal Research HZG MarGate MarGate Modular Observation Solutions for Earth Systems MOSES Shelf Seas Systems Ecology @ AWI former Biologische Anstalt Helgoland BAH |
description |
The dataset contains temperature, salinity, oxygen saturation, chlorophyll a and turbidity data from the Helgoland MarGate underwater observatory from the year 2020 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_description_heluwobs_data_2020.pdf" ... |
format |
Dataset |
author |
Fischer, Philipp Brand, Markus Friedrich, Madlen Eickelmann, Laura Lienkämper, Miriam Spotowitz, Lisa Anselm, Norbert Bussmann, Ingeborg Posner, Uwe Schwanitz, Max Brix, Holger Baschek, Burkard |
author_facet |
Fischer, Philipp Brand, Markus Friedrich, Madlen Eickelmann, Laura Lienkämper, Miriam Spotowitz, Lisa Anselm, Norbert Bussmann, Ingeborg Posner, Uwe Schwanitz, Max Brix, Holger Baschek, Burkard |
author_sort |
Fischer, Philipp |
title |
Hydrographical time series data of Helgoland, Southern North Sea, 2020 ... |
title_short |
Hydrographical time series data of Helgoland, Southern North Sea, 2020 ... |
title_full |
Hydrographical time series data of Helgoland, Southern North Sea, 2020 ... |
title_fullStr |
Hydrographical time series data of Helgoland, Southern North Sea, 2020 ... |
title_full_unstemmed |
Hydrographical time series data of Helgoland, Southern North Sea, 2020 ... |
title_sort |
hydrographical time series data of helgoland, southern north sea, 2020 ... |
publisher |
PANGAEA |
publishDate |
2021 |
url |
https://dx.doi.org/10.1594/pangaea.933714 https://doi.pangaea.de/10.1594/PANGAEA.933714 |
genre |
Arctic |
genre_facet |
Arctic |
op_relation |
https://dx.doi.org/10.5194/os-13-379-2017 https://dx.doi.org/10.1007/s00300-016-2022-y https://dx.doi.org/10.3389/fmars.2019.00032 https://dx.doi.org/10.1007/978-3-030-30683-0_2 https://dx.doi.org/10.3389/fmars.2020.00551 https://dx.doi.org/10.5194/os-13-259-2017 https://dx.doi.org/10.1016/j.marenvres.2012.10.013 |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_doi |
https://doi.org/10.1594/pangaea.93371410.5194/os-13-379-201710.1007/s00300-016-2022-y10.3389/fmars.2019.0003210.1007/978-3-030-30683-0_210.3389/fmars.2020.0055110.5194/os-13-259-201710.1016/j.marenvres.2012.10.013 |
_version_ |
1781695586804695040 |