European Data Format
Abbreviation: EDF
Homepage http://www.edfplus.info/specs/edf.html
Countries that developed this resource European Union
Created in 1991
Taxonomic range
Knowledge Domains
Subjects
How to cite this record FAIRsharing.org: EDF; European Data Format; DOI: https://doi.org/10.25504/FAIRsharing.21d998; Last edited: Jan. 8, 2019, 1:30 p.m.; Last accessed: Jun 21 2021 9:39 p.m.
Record updated: July 11, 2017, 12:21 p.m. by The FAIRsharing Team.
| FAQ | http://www.edfplus.info/specs/edffaq.htm ... |
Additional Information
| Contact | Diego Alvarez-Estevez |
No XSD schemas defined
Conditions of Use
A simple format for exchange of digitized polygraphic recordings.
Kemp B, Värri A, Rosa AC, Nielsen KD, Gade J.
Electroencephalogr Clin Neurophysiol. 1992
European data format 'plus' (EDF+), an EDF alike standard format for the exchange of physiological data.
Kemp B,Olivan J
Clin Neurophysiol 2003
Reporting Guidelines
No guidelines defined
Terminology Artifacts
No semantic standards defined
Models and Formats
No syntax standards defined
Identifier Schemas
No identifier schema standards defined
Metrics
No metrics standards defined
The PhysioNet Resource is intended to stimulate current research and new investigations in the study of complex biomedical and physiologic signals. It offers free web access to large collections of recorded physiologic signals and related open-source software. Data includes well-characterized digital recordings of physiologic signals, time series, and related data for use by the biomedical research community. PhysioNet includes collections of cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging.
National Sleep Research Resource
The National Sleep Research Resource (NSRR) offers free web access to large collections of de-identified physiological signals and clinical data elements collected in well-characterized research cohorts and clinical trials. Using the tools provided, the researcher can search across thousands of data elements, identify those data of most relevance for given needs, explore the statistical distributions of each, and download the data as CSV files. Data include demographic, physiological, clinical, and other data types collected by each study. Physiologic signals from overnight polysomnograms (sleep studies) are available by downloading European Data Format (EDF) files. The researcher can load summary measures of standardly scored sleep data. Specific scored annotations can be accessed by downloading XML files and can be viewed offline using the EDF Viewer.
Blackfynn Discover
Blackfynn Discover is a public resource for accessing large public Neuroscience datasets. Blackfynn Discover was developed through grants from the NIH NIDA, NIH CommonFund, DARPA, and others to provide a sustainable solution for fostering collaboration in the Neurosciences.
This record is not implemented by any policy.
Record Maintainer
This record is maintained by diegoalvareze
