Data from: Higher spatial than seasonal beta diversity of soil protists along elevation gradients

  1. Bruni, Estelle P. 1
  2. Lorite, Juan 2
  3. Peñas, Julio 2
  4. Vittoz, Pascal 3
  5. Mitchell, Edward A. D. 1
  6. Lentendu, Guillaume 1
  1. 1 University of Neuchâtel
    info

    University of Neuchâtel

    Neuchâtel, Suiza

    ROR https://ror.org/00vasag41

  2. 2 Universidad de Granada
    info

    Universidad de Granada

    Granada, España

    ROR https://ror.org/04njjy449

  3. 3 University of Lausanne
    info

    University of Lausanne

    Lausana, Suiza

    ROR https://ror.org/019whta54

Editor: Zenodo

Año de publicación: 2024

Tipo: Dataset

CC BY 4.0

Resumen

This data package contain the data and R script to reproduce the analyses of the paper from Bruni et al. (in press). It contains: protist_spatiotemporal_turnover_site_parameters.xlsx: the list of sites used in this study with their (label, location, geography coordinates, habitat, ENA project and sample accessions) and soil abiotic parameters. Abbreviations and units are as follows: Res_hum, residual humidity [%]; Org_mat, soil organic matter [%]; C_org, organic carbon [mg ∙ g-1]; N_org, organic nitrogen [mg ∙ g-1]; P_bio, bioavailable phosphate [mg ∙ g-1]; C_N_ratio, carbon org. / nitrogen org. ratio; N_P_ratio: nitrogen org. / phosphorus bioavailable ratio. protist_spatiotemporal_turnover_data.RData: dataset in rda format (R core team, 2024) containing the ASV read's abundance per site matrix (object "mat"), the ASV taxonomic assignments (object "taxo"), the ASV sequences (object "asv") and the CRU-TS monthly climatic data corresponding to the sampled site's location and dates (object "cruts"). protist_spatiotemporal_turnover_analyses.R: R script to reproduce all analyses and figures of Bruni et al. (in press)   References: Bruni R. P., Lorite J., Peñas J., Mulot M., Fournier B., Vittoz P., Mitchell E. A. D. and Lentendu G. (in press) Higher spatial than seasonal beta diversity of soil protists along elevation gradients, Frontiers of Biogeography R Core Team. (2024). R: a language and environment for statistical computing (4.2.2) R Foundation for Statistical Computing. https://www.r-project.org/