TDWB_19_2: Experimental Delta Morphology and Mass Balance Data

TDWB_19_2_MassBalance_Morphology data are used to reproduce results from the paper 'Marsh sedimentation controls delta top morphology, slope, and mass balance' by Sanks et al., 2022. The data include processed LiDAR scans, channel maps, stratigraphic marsh fraction from control and treatment experiments, and elevation data from four global deltas. Author Kelly Sanks provides the data and code via a GitHub repository.

Use Cases

• Modeling delta morphology and slope based on processed LiDAR scan data.
• Analyzing marsh sedimentation's impact on delta mass balance using stratigraphic marsh fraction data.
• Comparing experimental delta evolution with real-world examples using elevation data from four global deltas.
• Reproducing geophysical research results using the provided channel maps and treatment data.

Strengths

• Data is directly linked to a peer-reviewed publication in Geophysical Research Letters, ensuring research relevance.
• Includes data from both controlled laboratory experiments and four real-world global deltas for comparison.
• Associated code for reproducing results is available in a public GitHub repository.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and dataset size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kelly Sanks, associated with the research paper Sanks et al., 2022.

Collection Method

Processed from experimental LiDAR scans, channel mapping, and stratigraphic analysis, supplemented with elevation data from global deltas.

Geography

Includes data from four global deltas; specific locations are not named in the input.