{"url":"/dataset/nucmm","name":"NucMM","full_name":null,"description_markdown":"**NucMM** is a dataset for segmenting 3D cell nuclei from microscopy image volumes that pushes the task forward to the sub-cubic millimeter scale. It consists of two fully annotated volumes: one electron microscopy (EM) volume containing nearly the entire zebrafish brain with around 170,000 nuclei; and one micro-CT (uCT) volume containing part of a mouse visual cortex with about 7,000 nuclei.","description_withheld":null,"homepage":"https://connectomics-bazaar.github.io/proj/nucMM/index.html","introduced_date":"2021-07-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/nucmm-dataset-3d-neuronal-nuclei-instance","title":"NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale","first_author":"Zudi Lin","url":null},"license":null,"modalities":[{"name":"Biology","url":"/datasets/modality/biology"}],"tasks":[],"languages":[],"variants":["NucMM"],"data_loaders":[],"num_papers_in_archive":5,"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."}