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README.md

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 # Dataset of intraoperative ECoG recorded from epilepsy patients pre- and post-resection and fast ripple (FR) markings
 
 ## Summary
-We present an electrophysiological dataset recorded from twenty-two subjects during resective epilepsy surgery. We used standard electrodes with 10 mm inter-contact spacing (standard ECoG) in 14 surgeries and high-density grid electrodes with 5 mm spacing (hd-ECoG) in 8 surgeries. We recorded ECoG pre- and post-resection. We detected fast ripples (FR) using a previously validated automatic detector. For each recording, we provided the recorded data and FR markings. We also provide the approximate locations of recordings and resected area.
+We present an electrophysiological dataset recorded from twenty-two subjects during resective epilepsy surgery. We used standard electrodes with 10 mm inter-contact spacing (standard ECoG) in 14 surgeries and high-density grid electrodes with 5 mm spacing (hd-ECoG) in 8 surgeries. We recorded ECoG pre- and post-resection. We detected fast ripples (FR) using a previously validated automatic detector. For each recording, we provided the recorded data and FR markings. We also provide the approximate locations of recordings and resected area. The data was used in our publication doi.org/10.1016/j.clinph.2019.07.008.
 
 ## Downloading the data
 
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 ## Related Publications
-* Boran Ece, Ramantani G, Krayenbühl N, Schreiber M, König K, Fedele T, Sarnthein J. High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome. Clinph. http://doi.org/xxxxxxxx
+* Boran Ece, Ramantani G, Krayenbühl N, Schreiber M, König K, Fedele T, Sarnthein J. High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome. Clinph. doi.org/10.1016/j.clinph.2019.07.008
 * Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram.
 * Automatic detection of high frequency oscillations during epilepsy surgery predicts seizure outcome.