Data and code belonging to "How Shells of Different Shapes Affect Current-driven Sand Transport" (Kooistra et al.)

Folder structure:

# data

Experimental code:
Part 1 = accelerating flow (threshold of motion) experiment; Part 2 = constant flow (bedload transport) experiment
C = only current
0 = no shells, S = Spisula shells, E = Ensis shells, M = mixed shells
00 = bulk % volume shells in sand
R1 = run number (different current velocity settings per run)

## DataRaw_Part 1
Contains raw measurements for Part 1 (threshold of motion, accelerating flow). Each flume run has a separate folder, with data folders inside. Data include raw ADV and ADVP data. Furthermore, a whiteboard picture per run is included containing notes and metadata for each run.

Note that raw images and videos are not included in this repository, due to storage size limitations. The raw photos and videos will be made available upon request.

## DataRaw_Part 2
Contains raw measurements for Part 2 (bedload transport, constant flow) flume experiments. Each flume run has a separate folder, with data folders inside. Data include raw ADV and ADVP data. Furthermore, a whiteboard picture per run is included containing notes and metadata for each run. ADVP data for P2 converted to netcdf are used for further analysis with python.

To reduce file size, folder groups are saved as .zip per shell content (00, 10 and 20% shells).

Note that raw images are not included in this repository, due to storage size limitations. The raw photographic data will be made available upon request.

## Field data
Contains field measurements of sediment shell content.


## DataProcessed
Contains metadata and pre-processed data: experimental codes, start- and stop time of flume flow for each run, bed sediment composition, shell cover fraction, bed roughness, height of ADV above bed, visual observations of initiation of sand grain motion. Furthermore, the processed velocity data is written to this folder. The subfolder "Beds" contains digital surface models (DSMs) and stiched orthomosaics (OMs). Subfolder "Profiles" contains pre-processed ADVP data.

# scripts

This folder contains scripts used for analysis and figures:
- Kooistra_ShellsSand_P1_ADV: jupyter notebook for pre-processing ADV data Part 1 and matching with initiation of motion observations.
- Kooistra_ShellsSand_P1_ADV: jupyter notebook for pre-processing ADV data Part 2.
- Kooistra_ShellsSand_fig3-profiles: jupyter notebook for pre-processing ADVP data Part 2 and creating figure near-bed velocity and turbulence profiles.
- Kooistra_ShellsSand_figs: jupyter notebook for threshold of motion plots, fitting and plotting bedload transport models, and plotting bed roughness and cover fraction.
- Kooistra_ShellsSand_P2_form_roughness: R-markdown script for plotting DSMs and calculating and total bed roughness.
- Kooistra_ShellsSand_field_shell content: R script for calculating and mapping sediment shell content from field observations.