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datacite.yml

@@ -38,11 +38,11 @@ authors:
     id: "orcid.org/0000-0001-9141-381X"
 
 # A name or title to describe the published resource.
-title: "Dataset of intraoperative ECoG recorded from epilepsy patients pre- and post-resection and fast ripple (FR) markings"
+title: "Dataset of intraoperative pre- and post-resection ECoG recorded from epilepsy patients and fast ripple (FR) markings"
 
 # Any additional information. It is best practice to supply a description for the resource.
 description: |
-  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.
 
 # List of keywords the resource should be associated with.
 keywords:
@@ -50,12 +50,14 @@ keywords:
   - Intraoperative recording
   - Electrocorticography (ECoG)
   - High frequency oscillations (HFO)
+  - Fast ripple (FR)
   - Resection area
   - Seizure outcome
   - Automatic HFO detection
   - Electrophysiology
   - High-density ECoG
   - Standard ECoG
+  - Spatial sampling
   - Grid
   - Strip
   - Subdural
@@ -82,6 +84,10 @@ funding:
 # for further valid types see https://schema.datacite.org/meta/kernel-4
 # Please provide digital identifier (e.g., DOI) if possible.
 references:
+  -
+    doi: "xxx"     
+    reftype: "IsSupplementTo"
+    name: "High-density ECoG improves the detection of high frequency oscillations that predict seizure outcome."
   -
     doi: "10.1016/j.clinph.2017.03.038"     
     reftype: "IsContinuedBy"