{"url":"/dataset/dataset-for-cell-to-cell-communications","name":"Dataset for Cell-to-Cell Communications","full_name":null,"description_markdown":"The dataset evaluates the number of vesicles observed in a Tcell that is close to a tumor cell. It stores the number of vesicles over time and for various distances between the Tcell and the tumor cell. The dataset is a matrix stored in a \"mat\" file (Matlab), where each row represents a distance and each column corresponds to a time index. The distance ranges from 2 to 10 micrometers, and the time varies from 0 to approximately 160 minutes. We also provide the code to generate this dataset and to plot the corresponding curves.","description_withheld":null,"homepage":"https://ieee-dataport.org/documents/dataset-cell-cell-communications","introduced_date":"2025-06-25","introduced_date_note":null,"introduced_by":{"paper":"/paper/communicating-smartly-in-the-molecular-domain","title":"Communicating Smartly in the Molecular Domain: Neural Networks in the Internet of Bio-Nano Things","first_author":"Jorge Torres Gómez","url":null},"license":null,"modalities":[{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Dataset for Cell-to-Cell Communications"],"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."}