motum/datacite.yml

# Metadata for DOI registration according to DataCite Metadata Schema 4.1.
# For detailed schema description see https://doi.org/10.5438/0014

## Required fields

# The main researchers involved. Include digital identifier (e.g., ORCID)
# if possible, including the prefix to indicate its type.
authors:
  -
    firstname: "Zhenyu"
    lastname: "Gong"
    affiliation: "Department of Neurosurgery, Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China and Department of Neurosurgery, Technical University of Munich, School of Medicine, Klinikum rechts der Isar, Munich, Germany"
  -
    firstname: "Tao"
    lastname: "Xu"
    affiliation: "Department of Neurosurgery, Changzheng Hospital, Naval Medical University, Shanghai, China"
  -
    firstname: "Nan"
    lastname: "Peng"
    affiliation: "Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China"
  -
    firstname: "Xing"
    lastname: "Cheng"
    affiliation: "Department of Spine Surgery, Orthopedics Center of Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China"
  -
    firstname: "Chen"
    lastname: "Niu"
    affiliation: "PET/CT center, the First Affiliated Hospital of Xi’an Jiaotong University, China"
  -
    firstname: "Benedikt"
    lastname: "Wiestler"
    affiliation: "Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum Rechts der Isar, TUM, Germany"
  -
    firstname: "Fan"
    lastname: "Hong"
    affiliation: "Department of Neurosurgery, Second Affiliated Hospital of Anhui Medical University, Anhui Medical University, Hefei, China"
  -
    firstname: "Hongwei Bran"
    lastname: "Li"
    affiliation: "Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, USA"


# A title to describe the published resource.
title: "A Multi-Center, Multi-Parametric MRI Dataset of Primary and Secondary Brain Tumors"

# Additional information about the resource, e.g., a brief abstract.
description: |
   We introduce a multi-center, multi-origin brain tumor MRI (MOTUM) imaging dataset obtained from 67 patients: 29 with high-grade gliomas, 20 with lung metastases, 10 with breast metastases, 2 with gastric metastasis, 4 with ovarian metastasis, and 2 with melanoma metastasis. This dataset includes anonymized digital imaging and communications in medicine (DICOM) files alongside processed FLAIR, T1-weighted, contrast-enhanced T1-weighted, T2-weighted sequences images, segmentation masks of two tumor regions, and clinical data. Our data-sharing initiative is to support the benchmarking of automated tumor segmentation, multi-modal machine learning, and disease differentiation of multi-origin brain tumors in a multi-center setting. 

# Lit of keywords the resource should be associated with.
# Give as many keywords as possible, to make the resource findable.
keywords:
  - Neuroimaging
  - Secondary Brain Tumor
  - Machine Learning

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


references:
  -
    id: "doi:tba"
    reftype: "IsDescribedBy"
    citation: "Zhenyu Gong, Tao Xu, Nan Peng, Xing Cheng, Chen Niu, Benedikt Wiestler, Fan Hong A, and Hongwei Bran Li (2024), A Multi-Center, Multi-Parametric MRI Dataset of Primary and Secondary Brain Tumors. Scientific Data, under review. "

## Optional Fields

# Funding information for this resource.
# Separate funder name and grant number by comma.
#funding:


# Related publications. reftype might be: IsSupplementTo, IsDescribedBy, IsReferencedBy.
# Please provide digital identifier (e.g., DOI) if possible.
# Add a prefix to the ID, separated by a colon, to indicate the source.
# Supported sources are: DOI, arXiv, PMID
# In the citation field, please provide the full reference, including title, authors, journal etc.


# Resource type. Default is Dataset, other possible values are Software, DataPaper, Image, Text.
resourcetype: Dataset

# Do not edit or remove the following line
templateversion: 1.2