Data for: The pace of global river meandering influenced by fluvial sediment supply

Meandering rivers move gradually across the floodplains, and this river movement presents socioeconomic risks along river corridors and regulates terrestrial biogeochemical cycles. Experimental and field studies suggest that fluvial sediment supply can exert a primary control on lateral migration rates of rivers. However, we lack an understanding of the relative importance of environmental boundary conditions, such as floodplain vegetation and sediment supply, in setting the pace of river meandering across different environmental settings. Here, we combine the analysis of satellite imagery and global-in-scale sediment and water discharge models to evaluate the controls on lateral migration rates of 139 meandering rivers that span a wide range in size, climate, and bank vegetation. We show that migration rates normalized by the channel width monotonically increase with the volumetric sediment flux normalized by the characteristic size of the river. This relation is consistent across rive..., This dataset includes all underlying data used for the associated manuscript. We include all surface water mask files (.tif), derived channel centerline files (.csv, .pkl), bar-averaged migration files, and aggregated tabular data. To work with any of the derived data, we recommend using a Python-based workflow. The dataset includes three sections:
1) Dammed_Rivers
This includes underlying data for the upstream-to-downstream comparisons of river mobility across river dams. For each included river dam, we provide files that show the study area, binary geotiffs of channel water, generated centerlines, all migration data, and samples WBMsed model sediment flux and water discharge information. There are data for 3 rivers (Flint, Iowa, and Red) included in this section.
2) Single_Rivers
This includes all underlying data for the individual river analyses included in our data compilation. We include the study location, binary Geotiffs of channel water, centerlines, migration data, and WBMsed m..., , # Data for \"The Pace of Global River Meandering Set by Fluvial Sediment Supply\"

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This dataset includes all underlying data used in the manuscript. This includes surface water mask files (.tif), derived channel centerline files (.csv, .pkl), bar-averaged migration, and aggregated tabular data. To work with any of the derived data, we recommend using a Python-based workflow.

## Description of the data and file structure

The contents of the dataset is organized into 3 directories:

### 1) Dammed\_Rivers:

This includes the underlying data for the upstream-to-downstream comparisons of river mobility across dams. It includes files for the Flint, Iowa, and Red Rivers. Files are organized by:

├── Dammed_Rivers/
  ├── FlintRiver/
   ├── compare.py
   ├── FlintRiver_WBMdata.csv
   ├── gpkg_shapes/
   ├── masks/
    ├── FlintDownstream/
     ├── bar_migration/
     ├── centerline/
     ├── centerline_csv/
     ├── mask/
    ├── FlintUpstream/
   ├── WBM_columns.txt
  ├── IowaRiver/
   ├──...