Data from: Inferring future changes in gene flow under climate change in riverscapes: a pilot case study in fluvial sculpin

Data for <b>"</b><b>Inferring future changes in gene flow under climate change in riverscapes: a pilot case study in fluvial sculpin</b><b>"</b>Nakajima S, Suzuki H, Nakatsugawa M, Matsuo A, Hirota SK, Suyama Y, Nakamura F.Landscape Ecology<br><b>“genetic.vcf”</b>The VCF file generated by the MIG-seq method in this study. Samples with {T,KS,D,Sb,Sa,Sc,PKa,PKb,PYa,PYb,E,IKa,IK} in their names were sampled at the locations indicated by popID {A,B,C,D,E,F,G,H,I,J,K,L,M,L} in the supplementary material.<br><b>“environment.xlsx”</b>Riverscape variables at each edge. The “adjacent nodes” indicate the IDs of nodes to which each edge is linked, and the “riverscape variables” indicate the attributes of each edge.<i>WTS</i> = summer water temperature (current), <i>WTS_future</i> = summer water temperature (future), <i>WTF</i> = water temperature fluctuation, <i>FlowD</i> = drought water discharge, <i>FlowF</i> = flow fluctuation, <i>Length</i> = edge length, <i>Strahler</i> = Strahler’s stream order, <i>Shreve</i> = Shreve’s stream order, <i>Catchment</i> = catchment area.<br><b>“nodeID.xlsx”</b>The node ID of the sampling nodes was extracted and corresponded to the PopID.<br>Trimmed fastq files (including other sites in the lower Sorachi River) are available in the DDBJ Sequenced Read Archive under the accession no DRA017315.