001034448 001__ 1034448
001034448 005__ 20241218210704.0
001034448 0247_ $$2doi$$a10.25493/NQWJ-2EM
001034448 037__ $$aFZJ-2024-07214
001034448 1001_ $$0P:(DE-Juel1)170068$$aSchiffer, Christian$$b0$$eCorresponding author$$ufzj
001034448 245__ $$a3D cytoarchitectonic map of the human mesial piriform region of the BigBrain (v2.0)
001034448 260__ $$bEBRAINS$$c2024
001034448 3367_ $$2BibTeX$$aMISC
001034448 3367_ $$0PUB:(DE-HGF)32$$2PUB:(DE-HGF)$$aDataset$$bdataset$$mdataset$$s1734522489_24846
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001034448 3367_ $$2DataCite$$aDataset
001034448 3367_ $$2ORCID$$aDATA_SET
001034448 3367_ $$2DINI$$aResearchData
001034448 520__ $$aThis dataset contains cytoarchitectonic maps of four areas of the mesial piriform region in the BigBrain dataset. The maps are based on reference delineations in serial histological sections of the BigBrain at 1 micron resolution in-plane, with a distance of sections typically not lower than 300 micrometers. The 3 D cytoarchitectonic maps were created in two different approaches: (1) As first version, a 3D map of the area was created by interpolation of the respective reference delineations. (2) As a more advanced version, a 3D map was created using deep convolutional neural networks trained on the respective reference delineations. As a result, the latter version also includes delineations of the area in the sections in-between reference delineations. The 3D maps were transformed to the 3D reconstructed BigBrain space and are integrated into the Julich-Brain Cytoarchitectonic Atlas.
001034448 536__ $$0G:(DE-HGF)POF4-5254$$a5254 - Neuroscientific Data Analytics and AI (POF4-525)$$cPOF4-525$$fPOF IV$$x0
001034448 536__ $$0G:(EU-Grant)945539$$aHBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539)$$c945539$$fH2020-SGA-FETFLAG-HBP-2019$$x1
001034448 536__ $$0G:(DE-HGF)InterLabs-0015$$aHIBALL - Helmholtz International BigBrain Analytics and Learning Laboratory (HIBALL) (InterLabs-0015)$$cInterLabs-0015$$x2
001034448 536__ $$0G:(EU-Grant)101147319$$aEBRAINS 2.0 - EBRAINS 2.0: A Research Infrastructure to Advance Neuroscience and Brain Health (101147319)$$c101147319$$fHORIZON-INFRA-2022-SERV-B-01$$x3
001034448 588__ $$aDataset connected to DataCite
001034448 650_7 $$2Other$$aNeuroscience
001034448 7001_ $$0P:(DE-Juel1)131650$$aKedo, Olga$$b1$$ufzj
001034448 7001_ $$0P:(DE-Juel1)131631$$aAmunts, Katrin$$b2$$ufzj
001034448 7001_ $$0P:(DE-Juel1)165746$$aDickscheid, Timo$$b3$$ufzj
001034448 773__ $$a10.25493/NQWJ-2EM
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001034448 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)170068$$aForschungszentrum Jülich$$b0$$kFZJ
001034448 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131650$$aForschungszentrum Jülich$$b1$$kFZJ
001034448 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)131631$$aForschungszentrum Jülich$$b2$$kFZJ
001034448 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165746$$aForschungszentrum Jülich$$b3$$kFZJ
001034448 9131_ $$0G:(DE-HGF)POF4-525$$1G:(DE-HGF)POF4-520$$2G:(DE-HGF)POF4-500$$3G:(DE-HGF)POF4$$4G:(DE-HGF)POF$$9G:(DE-HGF)POF4-5254$$aDE-HGF$$bKey Technologies$$lNatural, Artificial and Cognitive Information Processing$$vDecoding Brain Organization and Dysfunction$$x0
001034448 9141_ $$y2024
001034448 9201_ $$0I:(DE-Juel1)INM-1-20090406$$kINM-1$$lStrukturelle und funktionelle Organisation des Gehirns$$x0
001034448 980__ $$adataset
001034448 980__ $$aVDB
001034448 980__ $$aI:(DE-Juel1)INM-1-20090406
001034448 980__ $$aUNRESTRICTED