Videos, photos, and AI-derived grain size data associated with “Modular AI and video surveys transform multiscale sediment grain size mapping”

This data package is associated with the manuscript in preparation “Modular AI and video surveys transform multiscale sediment grain size mapping”. This data package includes five data types: 1) raw photos and videos from drone survey and walking smartphone surveys; 2) images derived from raw videos; 3) manual labeling of reference scales; 4) metadata for all images and photo resolution derived from artificial intelligence (AI) models or manual labels, and 5) grain size data obtained from AI models for all photos. Such data is used to 1) demonstrate significant improvements in accuracy, efficiency, and quality control for grain size data collection with the help of AI models and 2) study the spatial heterogeneity of grain size and observation reproducibility based on tens of thousands of data points generated by the AI models. In particular, the data package contains 111 folders and 296290 files. The files include 30 videos in .mov format, 105077 photos in .jpg format, 16451 video-derived photos in .png format, 16201 segmentation mask data in .tif format, 16201 segmentation data in .json format, 49769 .csv files that rerecord metadata and grain size for each individual photo, as well as 5 flight record data in .srt format. The summary for all metadata and grain size statistics information are included in “Scales_V3_NG.csv” and “Statistics_V3_NG.csv”. NOTE: The manuscript associated with this data package is currently in review. The data may be revised based on reviewer feedback. Upon manuscript acceptance, this data package will be updated with the final dataset and additional metadata.