Intraoperative_ECoG_HFO/datacite.yml

# Required fields
# The main researchers involved working on the resource,
# or the authors of the publication in priority order.
# May be a corporate/institutional or personal name.
# Include digital identifier (e.g., ORCID) if possible
authors:
  -
    firstname: "Ece"
    lastname: "Boran"
    affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland"
    id: "orcid.org/0000-0002-0395-7575"
  -
    firstname: "Georgia"
    lastname: "Ramantani"
    affiliation: "Neuropädiatrie, Universitäts-Kinderspital Zürich, 8032 Zürich, Switzerland"
    id: "orcid.org/0000-0002-7931-2327"
  -
    firstname: "Niklaus"
    lastname: "Krayenbühl"
    affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland"
  -
    firstname: "Maxine"
    lastname: "Schreiber"
    affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland"
  -
    firstname: "Kristina"
    lastname: "König"
    affiliation: "Schweizerisches Epilepsie-Zentrum, 8008 Zürich, Switzerland"
  -
    firstname: "Tommaso"
    lastname: "Fedele"
    affiliation: "Institute for Cognitive Neuroscience, National Research University Higher School of Economics, 101000 Moscow, Russian Federation"
    id: "orcid.org/0000-0001-7574-8062"
  -
    firstname: "Johannes"
    lastname: "Sarnthein"
    affiliation: "Klinik für Neurochirurgie, UniversitätsSpital und Universität Zürich, 8091 Zürich, Switzerland"
    id: "orcid.org/0000-0001-9141-381X"

# A name or title to describe the published resource.
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 and did visual validation. 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:
  - Epilepsy surgery
  - 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
  - Epilepsy
  - Human
  - Neuroscience

# Any rights information for this resource. Please provide both a license name and a link to the license.
# Please add also a LICENSE file to the repository
license:
  name: "Creative Commons Attribution-ShareAlike 4.0 International Public License"
  url: "https://creativecommons.org/licenses/by-sa/4.0/"

## Optional Fields

# Any funding reference for this resource. Separate funder name and grant number by comma
funding:
  - "Swiss National Science Foundation, SNSF 320030_176222"
  - "Mach-Gaensslen Stiftung"
  - "Stiftung für wissenschaftliche Forschung an der Universität Zürich"
  - "Forschungskredit der Universität Zürich"

# Related publications. reftype might be: IsCitedBy, IsSupplementTo, IsReferencedBy, IsPartOf
# for further valid types see https://schema.datacite.org/meta/kernel-4
# Please provide digital identifier (e.g., DOI) if possible.
references:
  -
    doi: "10.1016/j.clinph.2019.07.008"     
    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"
    name: "Prediction of seizure outcome improved by fast ripples detected in low-noise intraoperative corticogram."
  -
    doi: ""     
    reftype: "CitedBy"
    name: "High-frequency oscillations in scalp EEG mirror seizure frequency in pediatric focal epilepsy."
  -
    doi: "10.1016/j.clinph.2016.06.009"     
    reftype: "Cites"
    name: "Automatic detection of high frequency oscillations during epilepsy surgery predicts seizure outcome."
  -
    doi: "10.1038/s41598-017-13064-1"     
    reftype: "Cites"
    name: "Resection of high frequency oscillations predicts seizure outcome in the individual patient."