{"url":"/dataset/extmarker","name":"ExtMarker","full_name":"3D motion of chest external markers","description_markdown":"Three-dimensional position of external markers placed on the chest and abdomen of healthy individuals breathing during intervals from 73s to 222s. The markers move because of the respiratory motion, and their position is sampled at approximately 10Hz. Markers are metallic objects used during external beam radiotherapy to track and predict the motion of tumors due to breathing for accurate dose delivery.\r\n\r\nThe same data was used and described in detail in the following article:\r\nKrilavicius, Tomas, et al. “Predicting Respiratory Motion for Real-Time Tumour Tracking in Radiotherapy.” ArXiv:1508.00749 [Physics], Aug. 2015. arXiv.org, http://arxiv.org/abs/1508.00749.","description_withheld":null,"homepage":"https://github.com/pohl-michel/time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression/tree/main/Original%20data","introduced_date":"2013-12-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/predicting-respiratory-motion-for-real-time","title":"Predicting respiratory motion for real-time tumour tracking in radiotherapy","first_author":"Tomas Krilavicius","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"modalities":[{"name":"Medical","url":"/datasets/modality/medical"},{"name":"Time series","url":"/datasets/modality/time-series"}],"tasks":[{"name":"Time Series Forecasting","url":"/task/time-series-forecasting","datasets_with_task":"/datasets/task/time-series-forecasting"},{"name":"Multivariate Time Series Forecasting","url":"/task/multivariate-time-series-forecasting","datasets_with_task":"/datasets/task/multivariate-time-series-forecasting"},{"name":"Univariate Time Series Forecasting","url":"/task/univariate-time-series-forecasting","datasets_with_task":"/datasets/task/univariate-time-series-forecasting"},{"name":"Time Series Prediction","url":"/task/time-series-prediction","datasets_with_task":"/datasets/task/time-series-prediction"},{"name":"Respiratory motion forecasting","url":"/task/respiratory-motion-forecasting","datasets_with_task":"/datasets/task/respiratory-motion-forecasting"}],"languages":[],"variants":["ExtMarker"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/multivariate-time-series-forecasting-on-3","task":"Multivariate Time Series Forecasting","dataset_variant":"ExtMarker","rows":1,"metrics":["Jitter","MAE","Maximum error","RMSE","normalized RMSE"],"first_row_in_archive_order":{"model":"UORO","paper":"/paper/prediction-of-the-position-of-external","metrics":{"Jitter":"0.9672","MAE":"0.845","Maximum error":"8.81","RMSE":"1.275","normalized RMSE":"0.2824"},"code_links":[{"title":"pohl-michel/time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression","url":"https://github.com/pohl-michel/time-series-forecasting-with-UORO-RTRL-LMS-and-linear-regression"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/prediction-of-the-position-of-external","title":"Prediction of the Position of External Markers Using a Recurrent Neural Network Trained With Unbiased Online Recurrent Optimization for Safe Lung Cancer Radiotherapy","date":"2021-06-02","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"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."}