Subject	Medical Imaging, Clinical Genetics
Specific subject area	Structural MRI scans, WHO 2016 subtypes, tumor segmentations of patients with glioma
Type of data	MRI data (NIfTI files):
	Pre-contrast T1-weighted
	Post-contrast T1-weighted
	T2-weighted
	T2-weighted FLAIR
	Genetic and histological data (Excel files):
	IDH mutation status
	1p/19q co-deletion status
	Grade
	Tumor segmentations (NIfTI files)
How data were acquired	MRI Scans were acquired on a variety of scanners and field strengths from four different vendors.
	Genetic and histological data were obtained by analysis of tumor tissue obtained from biopsy or resection.
	Whole tumor segmentations were manually annotated by one of four different observers or automatically generated using a convolutional neural network [1].
Data format	Raw
Parameters for data collection	MRI images were acquired using a range of different settings.
Description of data collection	Patients with glioma treated at the Erasmus MC between 2008 and 2018 were retrospectively included. Pre-operative imaging was acquired according to routine clinical protocols. IDH mutation status, 1p/19q co-deletion status, and grade were determined either as part of the treatment process or for research purposes.
Data source location	Erasmus MC (University Medical Center Rotterdam)
	Rotterdam
	The Netherlands
Data accessibility	Repository name: Health-RI XNAT
	Data identification number: EGD
	Direct URL to data: https://xnat.bmia.nl/data/archive/projects/egd
	The data usage agreement is available as a supplementary file.
	The data downloader is available at https://doi.org/10.5281/zenodo.4761088.