Niedzwiedz, Sarina; Schmidt, Claudia Elena; Yang, Yunlan; Burgunter-Delamare, Bertille; Andersen, Sebastian; Hildebrandt, Lars; Pröfrock, Daniel; Thomas, Helmuth; Zhang, Rui; Damsgård, Børge; Bischof, Kai: Abiotic data from Billefjorden Svalbard in August 2022ss [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.968625 (dataset in review)
Abstract:
Kelps act as ecosystem engineers and foundation species, providing the food web basis for Arctic coastal, rocky shore ecosystems. Arctic fjords are undergoing large climatic changes, with the consequences of glacial and terrestrial run-off on kelp holobionts largely being unknown. We compared areas being influenced by either glacial or terrestrial run-off with a control area in Billefjorden, Svalbard in August 2022. In each area, we measured water parameters of the upper 10 m, taking CTD profiles (SWiFT CTDplus Turbidity, Valeport, St Peters Quay, United Kingdom). Further, we measured the underwater light climate (RAMSES-ACC-UV/VIS radiometer, TriOS Optical Sensor, Oldenburg, Germany). In each area, the water's trace elemental composition at 0 and 5 m water depth (Agilent 8900, Agilent Technologies; Tokyo, Japan) was analysed, as well as the relative abundance of the free-living microbial community at 5 m water depth (16S; Illumina Nova platform, Shanghai Hanyu Biotech lab, Shanghai, China).
Project(s):
Arctic Biodiversity & Livelihoods (FACE-IT)
Funding:
Coverage:
Median Latitude: 78.646003 * Median Longitude: 16.615834 * South-bound Latitude: 78.597389 * West-bound Longitude: 16.392889 * North-bound Latitude: 78.691111 * East-bound Longitude: 16.907861
Date/Time Start: 2022-08-22T00:00:00 * Date/Time End: 2022-08-30T00:00:00
Minimum DEPTH, water: 0.0 m * Maximum DEPTH, water: 11.0 m
Event(s):
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | DEPTH, water | Depth water | m | Niedzwiedz, Sarina | Geocode | |
2 | DATE/TIME | Date/Time | Niedzwiedz, Sarina | Geocode | ||
3 | Sample position | Samp pos | Niedzwiedz, Sarina | Sampling area | ||
4 | LATITUDE | Latitude | Niedzwiedz, Sarina | Geocode | ||
5 | LONGITUDE | Longitude | Niedzwiedz, Sarina | Geocode | ||
6 | Station label | Station | Niedzwiedz, Sarina | |||
7 | Pressure, water | Press | dbar | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | |
8 | Temperature, water | Temp | °C | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | |
9 | Conductivity | Cond | mS/cm | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | |
10 | Salinity | Sal | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | ||
11 | Sound velocity in water | SV | m/s | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | |
12 | Density, water vapour | Density H2O | kg/m3 | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | |
13 | Backscatter | Backsc | NTU | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | Optics 1 |
14 | Backscatter | Backsc | NTU | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | Optics 2 [btu] |
15 | Turbidity (Nephelometric turbidity unit) | Turbidity | NTU | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | |
16 | Radiation, photosynthetically active | PAR | µmol/m2/s | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | |
17 | Light attenuation coefficient | Attenuation | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | ||
18 | Spectrum peak | Spec peak | nm | Niedzwiedz, Sarina | RAMSES hyperspectral radiometer (RAMSES) | Wavelength with the maximum light transmission through the water coloumn |
19 | Aluminium | Al | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
20 | Titanium | Ti | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
21 | Vanadium | V | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
22 | Manganese | Mn | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
23 | Iron | Fe | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
24 | Cobalt | Co | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
25 | Nickel | Ni | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
26 | Copper | Cu | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
27 | Zinc | Zn | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
28 | Yttrium | Y | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
29 | Cadmium | Cd | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
30 | Lanthanum | La | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
31 | Cerium | Ce | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
32 | Praseodymium | Pr | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
33 | Neodymium | Nd | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
34 | Samarium | Sm | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
35 | Europium | Eu | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
36 | Gadolinium | Gd | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
37 | Terbium | Tb | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
38 | Dysprosium | Dy | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
39 | Holmium | Ho | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
40 | Erbium | Er | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
41 | Thulium | Tm | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
42 | Ytterbium | Yb | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
43 | Lutetium | Lu | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
44 | Lead | Pb | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
45 | Thorium | Th | µg/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
46 | Uranium | U | ng/l | Niedzwiedz, Sarina | Tandem Mass Spectrometry (ICP-MS/MS) | |
47 | Amplicon sequence variant | ASV | Niedzwiedz, Sarina | Calculated | Observed features | |
48 | Shannon Diversity Index | H' | Niedzwiedz, Sarina | Calculated | ||
49 | Pielou evenness index | J' | Niedzwiedz, Sarina | Calculated | ||
50 | Phylogenetic diversity | P div | Niedzwiedz, Sarina | Calculated | ||
51 | Proteobacteria | Proteobacteria | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
52 | Bacteroidetes | Bacteroidetes | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
53 | Actinobacteria | Actinobacteria | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
54 | Alphaproteobacteria | Alphaproteobacteria | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
55 | Flavobacteria | Flavobacteria | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
56 | Gammaproteobacteria | Gammaproteobacteria | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
57 | Actinobacteria | Actinobacteria | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
58 | Betaproteobacteria | Betaproteobacteria | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
59 | Rickettsiales | Rickettsiales | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
60 | Flavobacteriales | Flavobacteriales | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
61 | Oceanospirillales | Oceanospirillales | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
62 | Rhodobacterales | Rhodobacterales | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
63 | Actinomycetales | Actinomycetales | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
64 | Alteromonadales | Alteromonadales | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
65 | Methylophilales | Methylophilales | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
66 | Pelagibacteraceae | Pelagibacteraceae | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
67 | Flavobacteriacea | Flavobacteriacea | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
68 | Halomonadaceae | Halomonadaceae | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
69 | Rhodobacteraceae | Rhodobacteraceae | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
70 | Microbacteriaceae | Microbacteriaceae | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
71 | Cryomorphaceae | Cryomorphaceae | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
72 | Alteromonadaceae | Alteromonadaceae | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
73 | Methylophilaceae | Methylophilaceae | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] | |
74 | Bacteria, unclassified | Bac unclassif | % | Niedzwiedz, Sarina | 16S rRNA gene sequencing [V4-V5 variable regions] |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0) (License comes into effect after moratorium ends)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
2194 data points
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