{"url":"/dataset/milan-sky-survey","name":"MILAN Sky Survey","full_name":"MILAN Sky Survey","description_markdown":"During the MILAN research project (MachIne Learning for AstroNomy), the research team uses Stellina observation stations to collect raw images of deep sky objects. \r\nThus, the research team built a dataset that represents what can be obtained during classical Electronically Assisted Astronomy sessions in the Luxembourg Greater Region.\r\nThe dataset is composed of ZIP files -- and each zip file contains raw images in FITS format (Flexible Image Transport System): data comes directly from the Sony IMX178 sensor of the Stellina observation station (no debayerisation and no post processing).\r\nFunding: This work was funded by the Luxembourg National Research Fund (FNR -- https://www.fnr.lu/) .\r\n\r\nMore information about VAONIS instruments: https://vaonis.com","description_withheld":null,"homepage":"https://publicationid.list.lu/milan-sky-survey-raw-images-captured-with-a-stellina-observation-station","introduced_date":"2023-04-11","introduced_date_note":null,"introduced_by":{"paper":"/paper/milan-sky-survey-a-dataset-of-raw-deep-sky","title":"MILAN Sky Survey, a dataset of raw deep sky images captured during one year with a Stellina automated telescope","first_author":"Olivier Parisot","url":null},"license":{"name":"CC BY 4.0","url":"http://creativecommons.org/licenses/by/4.0/"},"modalities":[],"tasks":[],"languages":[],"variants":["MILAN Sky Survey"],"data_loaders":[],"num_papers_in_archive":4,"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."}