Microbial diversity in streams draining proglacial floodplains

This dataset contains X files: <br> <br> 16S rRNA data: 16S_table.csv: Absolute abundance for each ASV. Absolute abundance were obtaines by using the relative abundance form read count and multiply it by the bacterial abundance measured through flowcytometer. ASV are rows and samples are columns. 16S_Taxonomy.csv: The taxonomy obtained for each ASV. 16S_Metadata.csv: Information on the samples ( Glacier, date, longitude, latitude, stream type,...) 18S rRNA data: 18S_otu_table.csv: Read count for each OTU. 18S ASVs were clustered into operational taxonomic units (OTUs) using a 97% identity threshold using the vsearch de novo clustering method implemented in qiime2. 18S_Taxonomy_NEW.csv: The taxonomy obtained for each OTU, updated with SILVA update in October 2021. 18S_Metadata: Information on the samples ( Glacier, date, longitude, latitude, stream type,...) Water physiochemical parameter water_data.csv : [DOC, Na⁺, Mg²⁺, K, Ca²⁺, Cl^-, SO₄^2-,NH₃, NOx, PO₄, NO₂, SRP, Alkalinity] are in ppb (mg/L) <br> [Temp] (Temperature) is in °C<br> [Conductivity] is in uS/cm <br> [Turbidity] is in NTU <br> dD_H: water stable isotope of deuterium<br> d18_16: water stable isotope Oxygen Sediment biomass data Biomass_data.csv: <br> Chla (chlorophyll-a concentration) is in ug Chla / g of DM (dry mass) <br> Bacterial_abundance: Number of bacteria counted by flow cytometer <br> BCP: Bacterial carbon production is in ng C g^-1_DM h^-1<br> EPS: Extracelluar Polymeric substance is in glucose-equivalent g^-1_DM _{Co-occurnece Network anaylsis - all file are in a subfolder /Network} Raw files to be pre-process : GFS_Fungi_links.csv, GFS_Fungi_nodes.csv, Trib_Fungi_links.csv, Trib_Fungi_nodes.csv Pre-processed file used for plotting: GFS_links_edit.csv, GFS_node_edit.csv, Trib_links_edit.csv, Trib_node_edit.csv,<br>