Results of non-metric Multidimensional scaling (NMDS) based on Bray Curtis dissimilarity of organic matter molecular compositions of purple glacier ice- and red snow-algae dominated surface samples collected close to the QAS-M Promice weather station on the southern tip of the Greenland Ice Sheet.

DOI

These datasets display the results of multivariate statistical analysis non-metric multidimensional scaling (NMDS) based on Bray Curtis dissimilarity of the organic matter (OM) molecular compositions of surface glacier purple ice- and red snow-algae dominated samples collected on the Greenland Ice Sheet at ca. 61°1’ N,46°8’ W (Rossel et al., 2025). The molecular compositions of the samples were obtained by ultrahigh resolution analysis on a 15 Tesla Fourier transform ion cyclotron resonance mass spectrometer (FTICR-MS, Rossel et al., 2025). All reported NMDS datasets display the molecular loadings and samples scores for the first two axes of the NMDS (NMDS1 and NMDS2), the number occurrences of each molecular formula per sample type, and molecular properties of the formulae such as: mass (MWwa), hydrogen/carbon (H/Cwa) and oxygen/carbon (O/Cwa) ratios, aromaticity index (AI-modwa), double bond equivalents (DBEwa) and DBE minus oxygen (DBE-Owa), Nominal oxidation state of carbon (NOSCwa) and the molecular category the formula was assigned (Aromatics, Condensed aromatics, highly unsaturated, unsaturated aliphatics and saturated). Furthermore, the NMDS datasets are separated according to the compared sample set. In the first NMDS analysis (Table S1, Fig 1 in Rossel et al., in review), we compared all samples: the initial OM from glacier ice- (T0_Ice) and snow-algae (T0_Snow) dominated habitats and the up to 24 days (T3-T24) in situ incubated samples under dark (D) and light (L) conditions. These OM samples, include both dissolved organic matter (DOM) and particulate organic matter (POM), the latter extracted with hot water (HW) and sodium hydroxide (Na) to represent water-soluble and particle-associated OM, respectively (see methods). In the second and third NMDS analyses, we compared DOM and POM samples separated (Table S2 and Table S3, respectively). Following the separation of all analyzed samples in the first NMDS (purple and red samples in Fig 1 in Rossel et al., in review), OM molecular signals related to glacier ice-algae (Table S4) and snow-algae (Table S5) were separated using NMDS1 values ≤ 0.45 and ≥ 0.45, respectively (Fig. 1b and Fig. 1c in Rossel et al., in review). Additionally, these separated molecular signals for glacier ice-algae and snow-algae samples were used to calculate intensity weighted (subscript wa) values for MWwa, H/Cwa and O/Cwa ratios, AI-modwa, NOSCwa, DBEwa and DBE-Owa for each sample (Table S6).

Identifier
DOI https://doi.org/10.5880/GFZ.YOGU.2025.002
Related Identifier References https://doi.org/10.5880/GFZ.3.5.2024.002
Related Identifier Cites https://doi.org/10.1021/acs.est.1c01135
Related Identifier Cites https://doi.org/10.4319/lom.2008.6.230
Related Identifier Cites https://doi.org/10.1016/j.gca.2006.03.021
Related Identifier Cites https://doi.org/10.1002/rcm.2386
Related Identifier Cites https://doi.org/10.1002/rcm.7433
Related Identifier Cites https://doi.org/10.1021/es203901u
Related Identifier Cites https://doi.org/10.1021/acs.analchem.8b00529
Related Identifier Continues https://doi.org/10.5880/GFZ.YOGU.2025.001
Related Identifier Continues https://doi.org/10.5880/GFZ.3.5.2024.002
Metadata Access http://doidb.wdc-terra.org/oaip/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:doidb.wdc-terra.org:8097
Provenance
Creator Rossel, Pamela E. ORCID logo; Antony, Runa ORCID logo; Mourot, Rey ORCID logo; Dittmar, Thorsten ORCID logo; Anesio, Alexandre M. ORCID logo; Tranter, Martyn ORCID logo; Benning, Liane G. ORCID logo
Publisher GFZ Data Services
Contributor Rossel, Pamela E.; Antony, Runa; Mourot, Rey; Dittmar, Thorsten; Anesio, Alexandre M.; Tranter, Martyn; Benning, Liane G.
Publication Year 2025
Funding Reference European Research Council http://dx.doi.org/10.13039/501100000781 Crossref Funder ID Synergy Grant DEEP PURPLE (856416)
Rights CC BY 4.0; http://creativecommons.org/licenses/by/4.0/
OpenAccess true
Contact Rossel, Pamela E. (GFZ Helmholtz Centre for Geosciences, Potsdam, Germany)
Representation
Resource Type Dataset
Discipline Chemistry; Natural Sciences
Spatial Coverage (-46.904W, 61.083S, -46.833E, 61.164N)