{"url":"/dataset/brazildam-dataset","name":"BrazilDam Dataset","full_name":null,"description_markdown":"BrazilDAM is a multi sensor and multitemporal dataset that consists of multispectral images of ore tailings dams throughout Brazil. Landsat 8 and Sentinel 2 satellites that capture multispectral images over the years 2016, 2017, 2018 and 2019 were used. The dataset contains samples collected in different regions, which increases the diversity and representativeness of the characteristics of the dams.","description_withheld":null,"homepage":"http://patreo.dcc.ufmg.br/2020/01/27/brazildam-dataset/","introduced_date":"2020-03-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/brazildam-a-benchmark-dataset-for-tailings","title":"BrazilDAM: A Benchmark dataset for Tailings Dam Detection","first_author":"Edemir Ferreira","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Environment","url":"/datasets/modality/environment"}],"tasks":[],"languages":[],"variants":["BrazilDam Dataset"],"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."}