FEED Archive
<p>The Feeding Experiments End-User Database (FEED) was designed by the <a href="http://nescent.org/science/awards_summary.php?id=150">Mammalian Feeding Apparatus Working Group</a> supported by the <a href="http://www.nescent.org/">National Evolutionary Synthesis Center (NESCent)</a>. See Additional Notes for information on (1) accessing the source code for the FEEDv2.0.3 database, and (2) accessing the ontologies (MFMO and OPBO).</p> <p>The data are archived here. The raw data are in .dat files, and the metadata pertaining to a specific numbered trial are in .csv format. All raw data and metadata are available for re-use. The .csv files named with the convention "trial_####_channels" contain metadata pertaining to an individual trial. The complete list of trials available for download, including relevant metadata for analyzing the in vivo data, are in the file "FEED_Archive_Master_Trials.csv". Raw data and metadata uploaded here are from FEEDv2 (2008-2018).</p> <p>FEED design and development funded by NSF-ABI-1062333 (CEW) and NSF-EF-0423641. NSF-EF0423641 funded the National Evolution Synthesis Center (NESCent) at Duke University (Principal Investigator: K. K. Smith).</p> <p>PUBLICATIONS AND HOW TO CITE:</p> <p>If you use the FEED data, ontologies, or application, or publish results attained from it, please cite as follows:<br> Wall, C. E., Vinyard, C. J., Williams, S. H., Gapeyev, V., Liu, X., Lapp, H., and German, R. Z. 2011. Overview of FEED, the Feeding Experiments End-User Database. Integrative and Comparative Biology 51(2):215-223. <a href="http://dx.doi.org/10.1093/icb/icr047">http://dx.doi.org/10.1093/icb/icr047</a>.</p> <p>Analysis of the raw EMGs in this FEED Archive can be analyzed with tools developed by Ying and Wall (2016). Please cite as follows:</p> <p>Ying, R. and Wall, C. E. (2016) A method for discrimination of noise and EMG signal regions recorded during rhythmic behaviors. Journal of Biomechanics 49:4113-4118. http://dx.doi.org/10.1016/j.jbiomech.2016.10.010. The tools are in a set of MATLAB (The Mathworks, Inc.) code is available for download at Github (https://github.com/FEEDEXP/EMG-Extractor). </p>
ShareScore
40/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0