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Microorganisms in frost flowers on young Arctic sea ice, comparison between different ice types
Citatie
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 Beschikbaarheid: Deze dataset valt onder een Creative Commons Naamsvermelding 4.0 Internationaal-licentie.
Beschrijving
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). meer
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 Kernwoorden: Marien/Kust, Dna sequencing, Metadata, Zee-ijs, Greenland, Bacteria Geografische spreiding Spreiding in de tijd
Maart 2012 Taxonomic coverage
Bacteria [WoRMS]
Parameter
Moleculaire data Bijdrage door
Gerelateerde datasets
Dataset status: Afgelopen
Data type: Meta database
Data oorsprong: Onderzoek: veldonderzoek
Metadatarecord aangemaakt: 2019-04-05
Informatie laatst gewijzigd: 2019-04-10
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