IMIS - Marine Research Groups | ||||
Microorganisms in frost flowers on young Arctic sea ice, comparison between different ice types
Citation
Barber D, Ehn J, Pucko M, Rysgaard S, Deming J, Bowman J, Papakyriakou T, Galley R, Sogaard D (2019): Microorganisms in frost flowers on young Arctic sea ice, comparison between different ice types. v1.0. SCAR - Microbial Antarctic Resource System. Dataset/Metadata. https://ipt.biodiversity.aq/resource?r=microorganisms_in_frost_flowers_on_young_arctic_sea_ice&v=1.0 https://doi.org/10.15468/au02yt
Contact:
Barber, David Availability: This dataset is licensed under a Creative Commons Attribution 4.0 International License.
Description
Amplicon sequencing dataset (454 pyrosequencing) of Bacteria in different types of young sea ice and sea ice brines in the Arctic ocean (North-East coast of Greenland). more
Frost flowers for microbial analyses were removed from the pond site into sterile 1 L plastic bags using an ethanol‐rinsed spatula. A second scraping over the same surface area yielded the corresponding, operationally defined brine skim, i.e., the surface slush layer. Samples of sea ice were also collected, as described above, along with the samples of seawater and snow from the surrounding area. Samples of frost flowers, the underlying surface slush layer, and snow were melted directly over the shortest possible period (always <12 h, with sample temperature remaining at ≤0°C), while sea ice samples were melted into sterile 0.2 µm filtered brine according to the isohaline approach described by Ewert et al. [2013]. Study Extent: The thin‐ice station, POLY I (74°13.905′N, 20°07.701′W, 29–30 cm thick on 22 March, snow covered with varying thickness), was situated in a recurrent winter polynya region about 3 km off the landfast ice edge. Method step description:
Scope Keywords: Marine/Coastal, Dna sequencing, Metadata, Sea ice, Greenland, Bacteria Geographical coverage Temporal coverage
March 2012 Taxonomic coverage
Bacteria [WoRMS]
Parameter
Molecular data Contributors
Related datasets
Dataset status: Completed
Data type: Metadata
Data origin: Research: field survey
Metadatarecord created: 2019-04-05
Information last updated: 2019-04-10
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