-д хадгалсан:
| Үндсэн зохиолчид: | , |
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| Формат: | Recurso digital |
| Хэл сонгох: | |
| Хэвлэсэн: |
Zenodo
2026
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| Онлайн хандалт: | https://doi.org/10.5281/zenodo.19451826 |
| Шошгууд: |
Шошго нэмэх
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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Агуулга:
- <p>This dataset accompanies the manuscript <em>“Biogeographical diversity meets functional similarity: Trait convergence in benthic fauna from the Arctic ice-covered North to ice-free South”</em> published in <em>Diveristy and Distributions</em>. It provides the biological, environmental, and trait data used to analyse benthic infaunal communities along the West Greenland shelf.</p> <h4><strong>Study overview</strong></h4> <p>Macrobenthic invertebrates were collected from nine stations between 64° N (Nuuk) and 71° N (Disko Bay) on board <em>R/V Dana</em> during the ECOTIP project (Horizon 2020). Samples were taken using a standard 1000 cm² box corer, sieved (1 mm mesh), and preserved in ethanol for taxonomic identification. Species densities were standardised to individuals m⁻². Environmental data include station position, depth, sediment characteristics (grain size fractions, organic and carbonate content, C / N ratios), and bottom-water properties (temperature, salinity, oxygen, density, and current speed). Sea-ice concentration and current velocity were derived from Copernicus Marine Service datasets, and CTD variables were processed in Ocean Data View.</p> <h4><strong>Biogeographic and trait data</strong></h4> <p>Species were assigned to Arctic, Boreal, or Cosmopolitan biogeographic groups using a combination of occurrence records (GBIF, OBIS, WoRMS) and trait information (Arctic Traits Database). A fuzzy-coded trait matrix was compiled for eight categorical traits related to resource and dispersal strategies.</p> <h4><strong>Files included</strong></h4> <ol> <li><strong>WG_DANA_Env.csv</strong> – Same as Environmental dataset in #2 but including replicate samples.</li> <li> <p><strong>WG_DANA_Env_Station.csv</strong> – Station-averaged environmental dataset (physical, chemical, and sediment variables).</p> </li> <li><strong>WG_mf_classification.csv</strong> – WoRMS-based taxonomic classification for all taxa.</li> <li><strong>WG_mf_count.csv</strong> – Species abundance matrix including replicate samples.</li> <li> <p><strong>WG_mf_count_station.csv</strong> – Mean species abundance matrix per station.</p> </li> <li><strong>WG_Sp.Arctic.csv</strong>, <strong>WG_</strong><strong>Sp.Boreal.csv</strong>, <strong>WG_</strong><strong>Sp.Cosmopolitan.csv</strong> – Subsets of the total community abundance matrix by biogeographic group.</li> <li><strong>WG_sti_trends.csv</strong> – Intermediate dataset created during species biogeographic affiliation procedures.</li> <li> <p><strong>WG_traits.xlsx</strong> – Trait scores (fuzzy-coded) for all taxa used in analyses of the main text. Used as a .xlsx file so that taxa are coloured according to biogeographic classification (Polar, yellow; Boreal, orange; Cosmopolitan, red). Last sheet is designed for importing into R. Shaded trait cells indicate cases where trait information was unavailable. </p> </li> </ol> <h4><strong>Usage</strong></h4> <p>All data but WG_traits.xlsx are provided in CSV format and are compatible with R (v. 4.3 or later). The dataset supports analyses of biogeographic composition, β-diversity, and functional trait structure of benthic infauna across Arctic–sub-Arctic gradients.</p>