Resources
Database Credentialed Federated
Eye Gaze Data for Chest X-rays
We created a rich multimodal dataset for the Chest X-Ray (CXR) domain. The data was collected using an eye tracking system while a radiologist interpreted and read 1,083 public CXR images. The dataset contains the following aligned modalities: image…
chest cxr audio convolutional network eye tracking radiology multimodal deep learning explainability machine learning heatmap chest x-ray
Published: Sept. 13, 2020. Version: 1.0.0 | DOI: 10.13026/qfdz-zr67
Database Restricted Federated
Hospitalized patients with heart failure: integrating electronic healthcare records and external outcome data
Heart failure is a common reason for hospitalization in the elderly and it is associated with significant mortality and morbidity. To facilitate epidemiological studies of heart failure, there is a need for high quality data…
heart failure electronic health record china
Published: Sept. 9, 2020. Version: 1.0 | DOI: 10.13026/3pr8-jx39
Database Credentialed Federated
MIMIC-IV
Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manne…
intensive care unit machine learning critical care mimic
Published: Aug. 14, 2020. Version: 0.3 | DOI: 10.13026/a2mm-bn44
Database Credentialed Federated
MIMIC-IV
Retrospectively collected medical data has the opportunity to improve patient care through knowledge discovery and algorithm development. Broad reuse of medical data is desirable for the greatest public good, but data sharing must be done in a manne…
machine learning critical care intensive care unit mimic
Published: Aug. 14, 2020. Version: 0.4 | DOI: 10.13026/a3wn-hq05
Database Open Federated
Siena Scalp EEG Database
The database consists of EEG recordings of 14 patients acquired at the Unit of Neurology and Neurophysiology of the University of Siena. Subjects include 9 males (ages 25-71) and 5 females (ages 20-58). Subjects were monitored with a Video-EEG…
Published: Aug. 11, 2020. Version: 1.0.0 | DOI: 10.13026/5d4a-j060
Database Credentialed Federated
Electrodermal Activity of Healthy Volunteers while Awake and at Rest
This dataset of electrodermal activity was collected from 11 healthy volunteer subjects who were awake and at rest in seated position. The activity was recorded from each subject's non-dominant hand for one hour at 256 Hz. Electrodermal act…
sweat gland activity sympathetic nervous system autonomic nervous system electrodermal activity
Published: Aug. 4, 2020. Version: 1.0 | DOI: 10.13026/arty-2540
Database Open Federated
Brain Hemorrhage Extended (BHX): Bounding box extrapolation from thick to thin slice CT images
BHX is a public available dataset with bounding box annotations for 5 types of acute hemorrhage as an extension of the qure.ai CQ500 dataset. This dataset intends to provide data resources to help advance hemorrhage detection towards machine learnin…
hemorrhage intracranial
Published: July 29, 2020. Version: 1.1 | DOI: 10.13026/9cft-hg92
Database Open Federated
Brno University of Technology ECG Quality Database (BUT QDB)
BUT QDB is a database created by the cardiology team at the Department of Biomedical Engineering, Brno University of Technology, for the purpose of evaluating ECG quality. The data comprises 18 long-term recordings of single-lead ECGs and …
Published: July 23, 2020. Version: 1.0.0 | DOI: 10.13026/kah4-0w24
Database Restricted Federated
Kinematic dataset of actors expressing emotions
We produced a kinematic dataset to assist in recognizing cues from all parts of the body that indicate human emotions (happy, sad, angry, fearful, , disgust, surprise) and neutral. The present dataset was created using a portable wireless …
body movement emotion motion capture kinematic data
Published: July 7, 2020. Version: 2.1.0 | DOI: 10.13026/kg8b-1t49
Database Restricted Federated
Kinematic dataset of actors expressing emotions
We produced a kinematic dataset to assist in recognizing cues from all parts of the body that indicate human emotions (happy, sad, angry, fearful, , disgust, surprise) and neutral. The present dataset was created using a portable wireless …
motion capture emotion body movement kinematic data
Published: June 23, 2020. Version: 2.0.0 | DOI: 10.13026/cdb3-8925