dataset_description.json

{
    "Name": "EuskalIBUR",
    "BIDSVersion": "1.3.0",
    "DatasetType": "raw",
    "License": "CC0",
    "Acknowledgements": "Molly G. Bright, Maite Termenon",
    "Authors": [
        "Stefano Moia",
        "Eneko Uru\u00f1uela",
        "Vicente Ferrer",
        "C\u00e9sar Caballero-Gaudes"
    ],
    "DatasetDOI": "10.18112/openneuro.ds003192.v1.0.1",
    "Funding": [
        "European Union\u2019s Horizon 2020 research and innovation program (Marie Sk\u0142odowska-Curie grant agreement No. 713673)",
        "La Caixa Foundation (ID 100010434, fellowship code LCF/BQ/IN17/11620063)",
        "Spanish Ministry of Economy and Competitiveness (Ramon y Cajal Fellowship, RYC-2017- 21845)",
        "Spanish State Research Agency (BCBL \u201cSevero Ochoa\u201d excellence accreditation, SEV- 2015-490)",
        "Basque Government (BERC 2018-2021 and PIBA_2019_104)",
        "Spanish Ministry of Science, Innovation and Universities (MICINN; PID2019-105520GB-100)"
    ],
    "HowToAcknowledge": "Please cite the paper:  Stefano Moia, Maite Termenon, Eneko Uru\u00f1uela, Rachael C. Stickland, Molly G. Bright, C\u00e9sar Caballero-Gaudes (2020) ICA-based Denoising Strategies in Breath-Hold Induced Cerebrovascular Reactivity Mapping with Multi Echo BOLD fMRI; bioRxiv 2020.08.18.256479; doi: https://doi.org/10.1101/2020.08.18.256479 ",
    "ReferencesAndLinks": [
        "BIDSification of bold files: heudiconv (https://github.com/nipy/heudiconv)",
        "BIDSification of physiological files: phys2bids (DOI:10.5281/zenodo.3470091) (https://github.com/physiopy/phys2bids)",
        "Container for data analysis: https://git.bcbl.eu/smoia/euskalibur_container",
        "Preprocessing and Data analysis scripts: https://github.com/smoia/EuskalIBUR_dataproc"
    ]
}