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URL: https://doi.org/10.17605/OSF.IO/WDR78
Proper Citation: Baby Open Brains (RRID:SCR_027836)
Description: Open source resource of manually curated and expert reviewed infant brain segmentations hosted on OpenNeuro.org. and OSF.io. Anatomical MRI data was segmented from 71 infant imaging visits across 51 participants, using both T1w and T2w images per visit. Images showed dramatic differences in myelination and intensities across 1–9 months, emphasizing the need for densely sampled gold-standard segmentations across early life. This dataset provides a benchmark for evaluating and improving pipelines dependent upon segmentations in the youngest populations. As such, this dataset provides a vitally needed foundation for early-life large-scale studies such as HBCD.
Synonyms: , BOBs, Baby Open Brains (BOBs) Dataset
Resource Type: data or information resource, data set
Defining Citation: PMID:40813378
Keywords: MRI, image, dataset of infant brain segmentations, infant brain, brain segmentation, manually curated infant brain segmentations,
Funding: Bill & Melinda Gates Foundation ; NIDA U01DA041148; NIDA U24DA055330; NIMH R01 MH104324; NIMH R01MH096773; NIMH R01MH125829; NIMH R37MH125829; NIMH U01 MH110274; NINDS T32 NS109604
Availability: Free, Freely available,
Resource Name: Baby Open Brains
Resource ID: SCR_027836
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
