{"url":"/dataset/cgne-snowflakes","name":"CGNE-Snowflakes","full_name":null,"description_markdown":"An image sequence dataset of growing snowflakes in HDF5 format. Generated by the Gravner-Griffeath LCA model for snow crystal growth. Useful for modeling crystal growth with neural networks.","description_withheld":null,"homepage":"https://github.com/poltimmer/CGNE/blob/main/LCA/main.py","introduced_date":"2024-05-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/efficient-probabilistic-modeling-of","title":"Efficient Probabilistic Modeling of Crystallization at Mesoscopic Scale","first_author":"Pol Timmer","url":null},"license":{"name":"MIT","url":"https://opensource.org/license/MIT"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Physical Simulations","url":"/task/physical-simulations","datasets_with_task":"/datasets/task/physical-simulations"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["CGNE-Snowflakes"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}