Hoppe, Clara Jule Marie (2021): Photosynthetically active radiation during in-situ incubations in February 2018 in Kongsfjorden (79°N) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.932882
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Abstract:
The AWI-funded AMUST project aims at understanding at current and future controls of Arctic spring blooms and concurrent effects on biogeochemistry by combining experimental work with long-term monitoring in Kongsfjorden in spring. This dataset encompasses ecophysiological data (Chl-a, POC, C:N, 14C-based Primary Production) from surface water samples collected at the Ny-Ålesund jetty in February 2018, as well as two datasets of 24h continuous light measurements during in-situ incubations 0.2m below the sea surface.
Keyword(s):
Supplement to:
Hoppe, Clara Jule Marie (in press): Always ready? Primary Production of Arctic phytoplankton at the end of the polar night. Limnology and Oceanography Letters, https://doi.org/10.1002/lol2.10222
Related to:
Hoppe, Clara Jule Marie (2021): February phytoplankton ecophysiology in Kongsfjorden (79°N). PANGAEA, https://doi.org/10.1594/PANGAEA.932880
Project(s):
Coverage:
Latitude: 78.928670 * Longitude: 11.937000
Date/Time Start: 2018-02-15T15:40:00 * Date/Time End: 2018-02-23T15:10:00
Minimum DEPTH, water: 0.2 m * Maximum DEPTH, water: 0.2 m
Event(s):
AWIPEV_2018-AMUST_Jetty * Latitude: 78.928670 * Longitude: 11.937000 * Date/Time Start: 2018-02-15T00:00:00 * Date/Time End: 2018-02-24T00:00:00 * Location: Kongsfjorden * Campaign: AWIPEV_2018-AMUST * Basis: AWIPEV * Method/Device: Monitoring (MON)
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DATE/TIME | Date/Time | Hoppe, Clara Jule Marie | Geocode | ||
2 | DEPTH, water | Depth water | m | Hoppe, Clara Jule Marie | Geocode | |
3 | Radiation, photosynthetically active | PAR | µmol/m2/s | Hoppe, Clara Jule Marie |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
290 data points