UDTR — Radar mondial des droits de la Nature

Data and R code for: Habitat heterogeneity and faunal assemblages at Kolbeinsey and Grimsey hydrothermal vent fields of northern Iceland

Identification

Clé publique

radar:r-e22514b3e06b583758395ffcfb4c1bda

Auteurs

Jan Leonard Verheyen · Saskia Brix · Brunner, Livia · Julian Mariano Burgos · Sebastian Hölz · Anne‐Nina Lörz · Laure de Montety · Steinunn Hilma Ólafsdóttir · S.A. Ragnarsson · Stan Waal · Sabine Gollner

Année déclarée

2026

Langue déclarée

en

Type source

dataset

Première détection

2026-11-13T12:47:38.678756+00:00

Dernière observation des métadonnées

2026-11-13T12:47:38.678756+00:00

Dernière vérification HTTP

Non effectuée

Institutions déclarées par la source

Universität Koblenz · Universität Hamburg · Marine and Freshwater Research Institute

Pays d’affiliation déclarés

DE · IS

Résumé documentaire — langue originale

This record contains the data and the R code underlying the paper "Habitatheterogeneity and faunal assemblages at Kolbeinsey and Grimsey hydrothermal ventfields of northern Iceland" (Frontiers in Marine Science). The material was collected during expedition 64PE475 (IceAGE_KR) with RV Pelagiain July 2021, using ROV PHOCA (GEOMAR) at the Kolbeinsey and Grimsey hydrothermalvent fields north of Iceland. CONTENTS code/ R scripts that reproduce every analysis, table and figure presented in the paper. Place the scripts and the input files in one working directory and run run_all.R; the scripts locate the input files by pattern. Requires R with the packages dplyr, tidyr, readr, readxl, writexl, vegan, dendextend, ggplot2 and scales. 01_megafauna_prep.R image-level habitat assignment and correction of the megafaunal abundance matrix 02_megafauna_diversity.R observed richness, Shannon and Simpson indices, individual-based rarefaction, Hill numbers, PERMANOVA, multivariate dispersion and nMDS 03_macrofauna.R macrofaunal higher-taxon analysis, sample accounting, PERMANOVA and nMDS 04_supplementary_S1_S9.R Tables 1 and 2 and Supplementary Tables S1 to S9 05_figures.R Figures 5, 11 and 12 06_maps.R Figures 6 and 9 07_taxonomic_sensitivity.R megafaunal analyses repeated at family and phylum level 08_cluster_tests.R SIMPROF tests and dissimilarity levels of the dendrograms 09_spatial_thinning.R spacing of consecutive images; analyses repeated with images at least 2 m or 5 m apart 10_supplementary_S10_S12.R Supplementary Tables S10 to S12 and the final workbook Supplementary_Tables_S1_S12.xlsx run_all.R master script, runs the ten scripts in order set_print_size.py sets the declared print size of the TIFF files data/ Input data: the raw ROV image annotations (data_substrate.csv, 2401 annotation records), the sample metadata for all 42 macrofaunal samples, the macrofaunal abundance matrix, and the megafaunal abundance matrix as submitted (kept for reference; the analysis derives its own matrix from data_substrate.csv). output/ Derived matrices, statistics and tables produced by a complete run, including Table 1 and Supplementary_Tables_S1_S12.xlsx. NOTES Habitat is assigned at image level and follows the substrate recorded duringannotation (HABITAT_CODING <- "recorded" in 01_megafauna_prep.R). This coding isbehind all tables and figures of the paper. The coding of the previousmanuscript version, in which every image with a bacterial cover annotationformed one class, can be reproduced with HABITAT_CODING <- "class" and iscompared in Supplementary Table S8. Analyses that draw random numbers use set.seed(42), so repeated runs giveidentical results. R must run in a UTF-8 locale. All figures are written withthe cairo graphics device in Arial. The ROV frame grabs on which the megafaunal annotations are based, and the cruisereport for expedition 64PE475, are archived separately in the NIOZ Dataverse athttps://doi.org/10.25850/nioz/7b.b.zk and https://doi.org/10.25850/nioz/7b.b.yk.

Identifiants

OPENALEX

https://openalex.org/W7212324255

DOI

10.5281/zenodo.22706825

Repères documentaires

Famille documentaire

dataset

Types déclarés par les sources

dataset

Les mentions d’entités ne constituent pas une preuve de reconnaissance juridique. La juridiction étudiée est distincte du pays d’affiliation des auteurs.

Sources

OpenAlex · Document 1

• Document · https://doi.org/10.5281/zenodo.22706825

Statut documentaire

Pertinence à examiner

Bibliothèque

Cette identité n’est pas encore intégrée à la Bibliothèque juridique.