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datalw
/
BREAD_brainboost_eeg_artifact_detection
DOI
10.12751/g-node.44jhbz
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'datacite.yml' ändern

Lu Wang-Nöth vor 2 Wochen
Ursprung
beb07dccb3
Commit
b6c1e6e46a
1 geänderte Dateien mit 2 neuen und 2 gelöschten Zeilen
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  1. 2 2
      datacite.yml

+ 2 - 2
datacite.yml
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@@ -37,7 +37,7 @@ authors:
 
     id: 'ORCID:0000-0002-9439-2695'    
     
     
-title: "How Many Data are Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings"
 
+title: "How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings"
 
 
 description:
 
     This EEG dataset, used for EMG artifact detection in EEG recordings, contains both artifact-contaminated signals and resting-state eyes-open (EO) signals.  It includes 932 npy files of EEG recordings from seven subjects, consisting of 664 artifact-containing epochs and 268 EO epochs.
 
@@ -61,7 +61,7 @@ references:
 
   -
 
     id: 'doi:tba'
 
     reftype: "IsSupplementTo"
 
-    citation: "Lu Wang-Nöth, Philipp Heiler, Hai Huang, Daniel Lichtenstern, Alexandra Reichenbach, Luis Flacke, Linus Maisch, Helmut Mayer: How Many Data are Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings. Journal of Neural Engineering. To be submitted."
 
+    citation: "Lu Wang-Nöth, Philipp Heiler, Hai Huang, Daniel Lichtenstern, Alexandra Reichenbach, Luis Flacke, Linus Maisch, Helmut Mayer: How Much Data is Enough? Optimization of Data Collection for Artifact Detection in EEG Recordings. Journal of Neural Engineering. To be submitted."
 
 
 resourcetype: Dataset
 
 templateversion: 1.2