Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012
The dataset contains temperature, salinity, oxygen saturation, chlorophyll A and turbidity data from the AWIPEV underwater observatory from the year 2012 in a temporal resolution of 1 hour. The cabled observatory is located in 12m water depth and comprises single or multiple sensors for a specific p...
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PANGAEA - Data Publisher for Earth & Environmental Science
2018
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Online Access: | https://dx.doi.org/10.1594/pangaea.896828 https://doi.pangaea.de/10.1594/PANGAEA.896828 |
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ftdatacite:10.1594/pangaea.896828 2023-05-15T15:05:44+02:00 Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012 Fischer, Philipp Schwanitz, Max Brand, Markus Posner, Uwe Brix, Holger Baschek, Burkard 2018 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.896828 https://doi.pangaea.de/10.1594/PANGAEA.896828 en eng PANGAEA - Data Publisher for Earth & Environmental Science https://store.pangaea.de/Publications/FischerP-etal_2018/metadata_svulobs_2012_hydrography.pdf https://dx.doi.org/10.5194/os-13-379-2017 https://dx.doi.org/10.1007/s00300-016-2022-y https://dx.doi.org/10.5194/os-13-259-2017 https://dx.doi.org/10.3389/fmars.2016.00200 https://store.pangaea.de/Publications/FischerP-etal_2018/metadata_svulobs_2012_hydrography.pdf Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY DATE/TIME Chlorophyll a Number of observations Confidence value Oxygen saturation Salinity Temperature, water Turbidity Formazin Turbidity Unit Observation See further details Metadata for the AWIPEV underwater observatory AWIPEV_based AWIPEV Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA Shelf Seas Systems Ecology @ AWI former Biologische Anstalt Helgoland BAH Dataset dataset 2018 ftdatacite https://doi.org/10.1594/pangaea.896828 https://doi.org/10.5194/os-13-379-2017 https://doi.org/10.1007/s00300-016-2022-y https://doi.org/10.5194/os-13-259-2017 https://doi.org/10.3389/fmars.2016.00200 2022-02-09T12:04:35Z The dataset contains temperature, salinity, oxygen saturation, chlorophyll A and turbidity data from the AWIPEV underwater observatory from the year 2012 in a temporal resolution of 1 hour. The cabled observatory is located in 12m 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-spitsbergen.html) For a detailed description of the data see associated metadatafile "metadata_svulobs_2012_hydrography.pdf". : Time series plots:Chlorophyll a: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_chlorophyll%20a.pdfOxygen saturation: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_oxygen_sat.pdfSalinity: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_salinity.pdfTemperature, water: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_temperature.pdfTurbidity (Formazin Turbidity Unit): http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_turb_ftu.pdf Dataset Arctic Kongsfjord* Kongsfjorden Svalbard DataCite Metadata Store (German National Library of Science and Technology) Arctic Helgoland Svalbard |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
DATE/TIME Chlorophyll a Number of observations Confidence value Oxygen saturation Salinity Temperature, water Turbidity Formazin Turbidity Unit Observation See further details Metadata for the AWIPEV underwater observatory AWIPEV_based AWIPEV Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA Shelf Seas Systems Ecology @ AWI former Biologische Anstalt Helgoland BAH |
spellingShingle |
DATE/TIME Chlorophyll a Number of observations Confidence value Oxygen saturation Salinity Temperature, water Turbidity Formazin Turbidity Unit Observation See further details Metadata for the AWIPEV underwater observatory AWIPEV_based AWIPEV Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA Shelf Seas Systems Ecology @ AWI former Biologische Anstalt Helgoland BAH Fischer, Philipp Schwanitz, Max Brand, Markus Posner, Uwe Brix, Holger Baschek, Burkard Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012 |
topic_facet |
DATE/TIME Chlorophyll a Number of observations Confidence value Oxygen saturation Salinity Temperature, water Turbidity Formazin Turbidity Unit Observation See further details Metadata for the AWIPEV underwater observatory AWIPEV_based AWIPEV Advanced Remote Sensing – Ground-Truth Demo and Test Facilities ACROSS Coastal Observing System for Northern and Arctic Seas COSYNA 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 AWIPEV underwater observatory from the year 2012 in a temporal resolution of 1 hour. The cabled observatory is located in 12m 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-spitsbergen.html) For a detailed description of the data see associated metadatafile "metadata_svulobs_2012_hydrography.pdf". : Time series plots:Chlorophyll a: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_chlorophyll%20a.pdfOxygen saturation: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_oxygen_sat.pdfSalinity: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_salinity.pdfTemperature, water: http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_temperature.pdfTurbidity (Formazin Turbidity Unit): http://store.pangaea.de/Publications/FischerP-etal_2018/All_NRT_1_2012_turb_ftu.pdf |
format |
Dataset |
author |
Fischer, Philipp Schwanitz, Max Brand, Markus Posner, Uwe Brix, Holger Baschek, Burkard |
author_facet |
Fischer, Philipp Schwanitz, Max Brand, Markus Posner, Uwe Brix, Holger Baschek, Burkard |
author_sort |
Fischer, Philipp |
title |
Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012 |
title_short |
Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012 |
title_full |
Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012 |
title_fullStr |
Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012 |
title_full_unstemmed |
Hydrographical time series data of the littoral zone of Kongsfjorden, Svalbard 2012 |
title_sort |
hydrographical time series data of the littoral zone of kongsfjorden, svalbard 2012 |
publisher |
PANGAEA - Data Publisher for Earth & Environmental Science |
publishDate |
2018 |
url |
https://dx.doi.org/10.1594/pangaea.896828 https://doi.pangaea.de/10.1594/PANGAEA.896828 |
geographic |
Arctic Helgoland Svalbard |
geographic_facet |
Arctic Helgoland Svalbard |
genre |
Arctic Kongsfjord* Kongsfjorden Svalbard |
genre_facet |
Arctic Kongsfjord* Kongsfjorden Svalbard |
op_relation |
https://store.pangaea.de/Publications/FischerP-etal_2018/metadata_svulobs_2012_hydrography.pdf https://dx.doi.org/10.5194/os-13-379-2017 https://dx.doi.org/10.1007/s00300-016-2022-y https://dx.doi.org/10.5194/os-13-259-2017 https://dx.doi.org/10.3389/fmars.2016.00200 https://store.pangaea.de/Publications/FischerP-etal_2018/metadata_svulobs_2012_hydrography.pdf |
op_rights |
Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 |
op_rightsnorm |
CC-BY |
op_doi |
https://doi.org/10.1594/pangaea.896828 https://doi.org/10.5194/os-13-379-2017 https://doi.org/10.1007/s00300-016-2022-y https://doi.org/10.5194/os-13-259-2017 https://doi.org/10.3389/fmars.2016.00200 |
_version_ |
1766337385179643904 |