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| Home > Publications database > Reference delineations of Area hOc3v (LingG) in individual sections of the BigBrain > print |
| 001 | 888510 | ||
| 005 | 20210130010959.0 | ||
| 024 | 7 | _ | |a 10.25493/DBZG-QZ |2 doi |
| 037 | _ | _ | |a FZJ-2020-04974 |
| 100 | 1 | _ | |a Kiwitz, Kai |0 P:(DE-Juel1)171890 |b 0 |e Corresponding author |
| 245 | _ | _ | |a Reference delineations of Area hOc3v (LingG) in individual sections of the BigBrain |
| 260 | _ | _ | |c 2020 |b EBRAINS |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Dataset |b dataset |m dataset |0 PUB:(DE-HGF)32 |s 1607355141_31128 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a Chart or Table |0 26 |2 EndNote |
| 336 | 7 | _ | |a Dataset |2 DataCite |
| 336 | 7 | _ | |a DATA_SET |2 ORCID |
| 336 | 7 | _ | |a ResearchData |2 DINI |
| 520 | _ | _ | |a This dataset contains cytoarchitectonic maps of area hOc3v (LingG) in the BigBrain. The mappings were created using multivariate statistical image analysis, applied to GLI-images of coronal histological sections of 1 micron resolution. Mappings are available on 38 sections of the occipital lobe of the BigBrain and have been transformed to the 3D reconstructed BigBrain space. For this brain area, a highly detailed 3D map has been computed based on automatic delineations on every histological section from a novel Deep Learning algorithm. This dataset can be accessed here: [Ultrahigh resolution 3D cytoarchitectonic map of Area hOc3v (LingG) created by a Deep-Learning assisted workflow](https://kg.ebrains.eu/search/live/minds/core/dataset/v1.0.0/f746514d-b79a-48e2-9c07-39f7c62459cf) This ultrahigh resolution 3D cytoarchitectonic map of Area hOc3v can be explored in the HBP interactive Atlas Viewer. |
| 536 | _ | _ | |a 574 - Theory, modelling and simulation (POF3-574) |0 G:(DE-HGF)POF3-574 |c POF3-574 |f POF III |x 0 |
| 536 | _ | _ | |a HBP SGA2 - Human Brain Project Specific Grant Agreement 2 (785907) |0 G:(EU-Grant)785907 |c 785907 |f H2020-SGA-FETFLAG-HBP-2017 |x 1 |
| 536 | _ | _ | |a HBP SGA3 - Human Brain Project Specific Grant Agreement 3 (945539) |0 G:(EU-Grant)945539 |c 945539 |x 2 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Schiffer, Christian |0 P:(DE-Juel1)170068 |b 1 |
| 700 | 1 | _ | |a Dickscheid, Timo |0 P:(DE-Juel1)165746 |b 2 |
| 700 | 1 | _ | |a Amunts, Katrin |0 P:(DE-Juel1)131631 |b 3 |
| 773 | _ | _ | |a 10.25493/DBZG-QZ |
| 909 | C | O | |o oai:juser.fz-juelich.de:888510 |p openaire |p VDB |p ec_fundedresources |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 0 |6 P:(DE-Juel1)171890 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)170068 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 2 |6 P:(DE-Juel1)165746 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)131631 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Decoding the Human Brain |1 G:(DE-HGF)POF3-570 |0 G:(DE-HGF)POF3-574 |2 G:(DE-HGF)POF3-500 |v Theory, modelling and simulation |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
| 914 | 1 | _ | |y 2020 |
| 920 | 1 | _ | |0 I:(DE-Juel1)INM-1-20090406 |k INM-1 |l Strukturelle und funktionelle Organisation des Gehirns |x 0 |
| 980 | _ | _ | |a dataset |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)INM-1-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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