Data and code for: "Where to look for fungi in a bog? Substrate partitioning reveals hidden richness"

This dataset comprises all raw and processed data, analysis scripts, and supporting code for the study of fungal diversity and community composition across multiple substrates (peat, plant litter, wood, and mycorrhizal roots) in the Mukhrino raised bog, West Siberia. It includes metabarcoding occurrence data (eDNA), metadata, sporocarp records, functional guild annotation, and complete Python/notebook code for statistical analyses, visualizations, and reproducibility. File list: checklist.csvReference checklist of fungal species from classical sporocarp observations.Columns: checklist, kingdom, phylum, class, order, family, genus, binomRows: 208 species records across four ecological groups (barcoding macrofungi, lichen survey, plant litter survey, wood decay survey). data.csvMetabarcoding read counts.Columns: SampleID, ID (OTU), CountRows: 992,959 records (266 samples × multiple OTUs).Read counts represent raw sequence abundances per OTU per sample. frbcounts.csvQuantitative sporocarp counts from permanent plots.Columns: eventID, parentEventID, habitat, decimalLatitude, decimalLongitude, eventDate, species, count, chrono, plot, occurrenceIDRows: 32,824 records (11 years of sporocarp monitoring). metadata.csvSample metadata for 266 eDNA samples.Columns: SampleID, eventDate, Year, series, season, substrate, depth, ecosystem, habitat, locality, plotNumber, plantHost, decimalLatitude, decimalLongitudeSubstrate types: peat (aerobic/anaerobic), plant litter, wood, mycorrhizal roots. taxonomy.csvTaxonomic assignment of OTUs.Columns: ID, SH (Species Hypothesis), kingdom, phylum, class, order, family, genus, species, binom, scientificName, taxonomyRows: 8,932 unique SH. Where to look for fungi in a bog_ Analyses code.ipynbJupyter Notebook with complete analytical workflow.Includes: data loading, filtering, alpha- and beta-diversity calculations, PERMANOVA, indicator species analysis, Jaccard similarity matrices, PCoA ordination, heatmap visualizations, and FunGuild integration.Python libraries: pandas, numpy, scikit-bio, matplotlib, seaborn, scipy, statsmodels. Guilds_v1.1.pyFunGuild annotation script (adapted for simplified taxonomy).Python script for assigning functional guilds to fungal taxa based on taxonomic names.