Datasets

A list of relevant datasets sorted by domain. All Datasets listed here should be publicly accessible. Feel free to add the datasets relevant to your domain here, via a pull-request.

Time-Series

Dataset - Name	Tasks	Short Description	Link	Labels	Combined with Source Datasets	Combined with Target Datasets	Size	Resolution	License	Papers Referencing it
MIMIC-III (Adult-AHRF dataset)	Mortality Prediction	Critical care database containing 58000 admission records (38645 adults and 7875 neonatal)	MIMIC-III	xxx	-	Child-AHRF dataset	38645 adults and 7875 neonatal	xxx	PhysioNet Credentialed Health Data License 1.5.0	Dissanayake & Fernando 2021
Child-AHRF dataset	Mortality Prediction	Child-AHRF contains a record of 398 children (admission records)	TODO	xxx	MIMIC-III (Adult-AHRF dataset)	-	398 children	xxx	xxx	Dissanayake & Fernando 2021
Brains4Cars	Advanced Assistance (ADAS)	Brains4cars contains 1180 miles of freeway driving for 10 drivers	Brains4Cars	-	10 drivers and 1180 miles	xxx	xxx		custom	Dissanayake & Fernando 2021
Boiler Fault Detection Dataset	Fault Detection	Dataset for 3 boilers over 2 years (2014-2016)	xxx	xxx	xxx	xxx	xxx	xxx	xxx	Dissanayake & Fernando 2021
Air Quality Forecast Dataset	Air Quality Forecast	The dataset consists of air quality data, meteorological data, and weather forecast data covering 4 Chinese cities with each hour data for the 2014-2015 years.	Air Quality Forecast Dataset	xxx	xxx	xxx	2014-2015 years of 4 cities	1 datapoint/hour	xxx	Dissanayake & Fernando 2021
UCIHAR	classification - activity recognition	Data from three sensors: accelerometer, gyroscope and body sensors. The sensors were applied to 30 subjects. Each subject has perfromed six activities (walking, walking upstairs, walking downstairs, sitting and lying down).	UCIHAR	walking, walking upstairs, walking downstairs, sitting, lying down	- cross-subject DA	- cross-subject DA	30 subjects, 10299 instances	xxx	Creative Commons Attribution 4.0 International	Ragab & Edele 2023
WISDM	classification - activity recognition	Accelerometer sensors were applied to 36 subjects. Each subject has perfromed six activities (walking, walking upstairs, walking downstairs, sitting and lying down). Highly imbalanced data recording for each subject.	WISDM	walking, walking upstairs, walking downstairs, sitting, lying down	cross-subject-DA	cross-subject-DA	36 subjects	xxx	xxx	Ragab & Edele 2023
Heterogeneity Human Activity Recognition (HHAR)	classification-activity recognition	smartwatch and sensor readings od 9 subjects	HHAR	‘Biking’, ‘Sitting’, ‘Standing’, ‘Walking’, ‘Stair Up’ and ‘Stair down’	cross-subject-DA	cross-subject-DA	9 subjects, 43930257 instances	xxx	Creative Commons Attribution 4.0 International	Ragab & Edele 2023
Sleep-EDF	classification-sleep stage	The sleep-edf database contains 197 whole-night PolySomnoGraphic sleep recordings, containing EEG, EOG, chin EMG, and event markers. Some records also contain respiration and body temperature. Corresponding hypnograms (sleep patterns) were manually scored by well-trained technicians according to the Rechtschaffen and Kales manual, and are also available.	Sleep-EDF	Wake, Non-Rapid Eye Movement stages N1, N2, N3, Rapid Eye Movement (REM)	xxx	cross-channel-DA	cross-channel-DA	20 subjects, 197 whole-night PolySomnoGraphic sleep recordings	Open Data Commons Attribution License v1.0	Ragab & Edele 2023
Machine Fault Diagnosis (MFD)	Fault Detection	Collected by Paderborn University to identify various types of incipient faults using vibration signals. The data were collected under four different operating conditions, and in our experiments, each of these conditions was treated as a separate domain.	xxx	xxx	cross-condition-DA	cross-condition-DA	xxx	xxx	xxx	Ragab & Edele 2023
VitalDB		This is a comprehensive dataset of 6,388 surgical patients composed of intraoperative biosignals and clinical information. The biosignal data included in the dataset is high quality data such as 500 Hz waveform signals and numeric values at intervals of 1-7 seconds. More than 60 surgery related clinical information is also provided to help interpret the signals.	VitalDB	xxx	xxx	xxx	xxx	6.388 patients	custom	-

Computer Vision

Natural Language Processing (NLP)

Speech

Multi-Modal