cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/he0x-p3e
title: Probabilistic cytoarchitectonic map of Area 1 (PostCG) (v10.0)

description: This dataset contains the distinct architectonic Area 1 (PostCG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area 1 (PostCG). The probability map of Area 1 (PostCG) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area 1 (PostCG): Geyer et al. (2018) [Data set, v8.2] [DOI: 10.25493/3D29-NJ7](https://doi.org/10.25493%2F3D29-NJ7) Geyer et al. (2019) [Data set, v8.4] [DOI: 10.25493/THB5-B64](https://doi.org/10.25493%2FTHB5-B64) The most probable delineation of Area 1 (PostCG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53)
DOI: 10.25493/2zbm-j1s
title: Visual Tactile data collected by simulated WhiskEye robot for ViTa-SLAM study

description: Visual tactile sensory data collected from a simulated instance of a WhiskEye robot during mobile exploration. This was used to demonstrate a multi-modal spatial navigation system developed as part of larger project task within the Human Brain Project called ViTa-SLAM (Visuo-Tactile Simultaneous Localization And Mapping).
DOI: 10.25493/ymv3-45h
title: Morphological data of cortical layer 6 neurons and synaptically coupled neuronal pairs

description: Structural properties of cortical neurons are closely related to their functions in brain microcircuits. Morphological data were collected by manually reconstructing the somatodendritic and axonal arborisation of individual layer 6 neurons and synaptically coupled neuronal pairs in the rat somatosensory (barrel) cortex using the Neurolucida system. These data are used for analysing neuronal morphological properties and could also be reused for neuronal modelling with realistic neuronal morphologies.
DOI: 10.25493/54hz-kfq
title: Probabilistic cytoarchitectonic map of Area Id6 (Insula) (v3.1)

description: This dataset contains the distinct architectonic Area Id6 (Insula) in the MNI Colin 27 and MNI ICBM 152 reference spaces. As part of the Julich-Brain atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. Subsequently the results of the cytoarchitectonic analysis are mapped to the MNI Colin 27 and MNI ICBM 152 reference spaces where each voxel is assigned with the probability to belong to Area Id6 (Insula). The probability map of Area Id6 (Insula) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. The most probable delineation of Area Id6 (Insula) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493/8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-64D)
DOI: 10.34810/data72/366
title: 01CO_1.MR.0004.0040.2016.02.04.15.44.11.109375.67135494.IMA
DOI: 10.25493/w6vw-z00
title: Density measurements of different receptors for stratum moleculare of CA (Hippocampus) [human, v1.0]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in stratum moleculare of CA (Hippocampus) obtained by means of quantitative _in vitro_ autoradiography. The receptor densities are visualized as _fingerprints_ (**fp**), which provide the mean density and standard deviation for each of the analyzed receptor types, averaged across samples. Overview of available measurements [ **receptor** \| **_neurotransmitter_** \| _labeling agent_ ]: **AMPA** \| **_glutamate_** \| _[<sup>3</sup>H]AMPA_ **kainate** \| **_glutamate_** \| _[<sup>3</sup>H]kainate_ **NMDA** \| **_glutamate_** \| _[<sup>3</sup>H]MK-801_ **GABA<sub>A</sub>** \| **_GABA_** \| _[<sup>3</sup>H]muscimol_ **GABA<sub>B</sub>** \| **_GABA_** \| _[<sup>3</sup>H]CGP54626_ Information on the used tissue samples and corresponding subjects, as well as analyzed receptors accompanies the provided dataset. **For methodological details, see:** Zilles, K. et al. (2002). Quantitative analysis of cyto- and receptorarchitecture of the human brain, pp. 573-602. In: Brain Mapping: The Methods, 2nd edition (A.W. Toga and J.C. Mazziotta, eds.). San Diego, Academic Press. Palomero-Gallagher N, Zilles K. (2018) Cyto- and receptorarchitectonic mapping of the human brain. In: Handbook of Clinical Neurology 150: 355-387
DOI: 10.25493/e5c0-vg
title: 3D cyto- and receptor architectonic map of macaque lateral premotor area F7i

description: A multimodal analysis of the macaque motor cortex was carried out to create a 3D atlas integrating and reconciling discrepancies between previously published maps. This involved a quantitative and statistically testable approach to the analysis of cytoarchitecture in the macaque monkey frontal agranular cortex, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 13 different neurotransmitter receptors. The borders of the identified areas were traced onto a reference macaque monkey brain in stereotaxic space. We provide here for the first time a map of lateral premotor area F7i of the macaque monkey brain integrating cyto- and receptor architectonic features in stereotaxic space. It constitutes a valuable resource for the analysis of functional experiments with non-human primates, and provides crucial data for modeling approaches with realistic synaptic dynamics.
DOI: 10.25493/r6zz-400
title: Spatial navigation in virtual reality

description: We present a mouse virtual reality (VR) system which restrains head-movements to horizontal rotations, potentially compatible with multi-photon imaging. This system allows expression of the spatial navigation and neuronal firing patterns characteristic of real open arenas. This dataset contains electrophysiology recordings of hippocampal cells while animals were navigating in virtual environments. Each recording session consisted of one 40 min random-foraging trial in a virtual reality (VR) square environment and one 20 min trial in a real environment. Spike sorting was performed offline using an automated clustering algorithm (KlustaKwick) followed by a manual review and editing step using an interactive graphical tool (WAVEFORM by D. Manson, http://d1manson.github.io/waveform/). Spatial cells including place cells and grid cells have been identified in the dataset.
DOI: 10.25493/b388-23y
title: In vivo characterisation of photostimulation and slow-wave activity (SWA) manipulation

description: The cholinergic system is critically involved in the modulation of cognitive functions. The central role of acetylcholine in cognition seems to be related to the synchronization of gamma band oscillations: gamma band power increases in relation to working memory load and abnormal gamma oscillations are associated with cognitive deficits. It has been demonstrated that muscarinic agonists can improve the frequency, and decrease the duration and the power of slow waves (delta). This balance of neuromodulator levels plays a key role in sleep and memory (Vakalopoulos C et al., Front Neurosci 2014, 8, 63). Carbachol, a cholinergic agonist, has been shown to stabilize gamma frequency oscillations. To modulate brainwaves in neural circuits, IBEC, in collaboration with IDIBAPS, designed and prepared novel light-regulated agonists of muscarinic receptors, and tested their efficacy in cells and brain slices under different wavelengths of light irradiation. The data collected consists of 5 files. In this case, the main goal was to study the effect of the application of the PAI molecule (Phthalimide-Azo-Iperoxo) in the neural activity of the primary visual cortex of adult mice. Different concentrations of the PAI molecule were applied: 200nM and 1 uM.
DOI: 10.25493/80yk-sn0
title: Probabilistic cytoarchitectonic map of Area p24ab (pACC) (v16.0)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area p24ab (pACC) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area p24ab (pACC). The probability map of Area p24ab (pACC) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. Other available data versions of Area p24ab (pACC): Palomero-Gallagher et al. (2019) [Data set, v16.1] [DOI: 10.25493/DHXC-2KN](https://doi.org/10.25493%2FDHXC-2KN) The most probable delineation of Area p24ab (pACC) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.25493/ygtb-b3s
title: Efferents of the perirhinal cortex (PRH) in mice

description: This dataset contains confocal image data of coronal sections following anterograde tract tracer injections (AAV5-hSyn-hChR2(H134R)-EYFP) in the perirhinal cortex in five adult male C57BL/J6 mice. The images show connections from the perirhinal cortex to other areas in the mouse brain.
DOI: 10.25493/wznz-dpq
title: Probabilistic cytoarchitectonic map of Area hIP5 (IPS) (v7.0)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area hIP5 (IPS) in the individual, single subject template of the MNI Colin 27 reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to the reference space, where each voxel was assigned the probability to belong to Area hIP5 (IPS). The probability map of Area hIP5 (IPS) is provided in NifTi format for each hemisphere in the reference space. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and updated probability estimates for new brain structures may in some cases lead to measurable but negligible deviations of existing probability maps, as compared to earlier released datasets. . Other available data versions of Area hIP5 (IPS): Richter et al. (2019) [Data set, v7.1] [DOI: 10.25493/RNSM-Y4Y](https://doi.org/10.25493%2FRNSM-Y4Y) The most probable delineation of Area hIP5 (IPS) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.25493/4xwx-28u
title: 3D reconstructions of pyramidal cells in human hippocampal CA1 region

description: 3D reconstructions of pyramidal cells in the human hippocampal CA1 region using Neurolucida software from 3D confocal stack of images.
DOI: 10.25493/fn3q-bc3
title: Characterization of human hippocampal neurons and interneurons using single-cell RNA-seq

description: The goal was to define the cellular heterogeneity in the human dentate gyrus (DG) and delineate this from the cellular architecture in the Cornu Ammonis (CA) region. Therefore, after isolation of NeunN-expressing nuclei from fresh-frozen hippocampal tissues (DG and CA), nuclei were used to generate single-cell transcriptomes using a commercial microwell-based assay. After library preparation and sequencing, the generated data were further processed and aligned against the reference genome. Gene expression matrixes are provided which can be further analyzed and overlaid with synaptic maps and organization, microanatomical and physiological data, and integrated for the generation of a human brain atlas.
DOI: 10.25493/qp0m-n4z
title: Probability map of bundle lh_CMF-SF_0 (atlas of superficial white matter fibre bundles, version 2018)

description: This data contains the probability map of a short fibre bundle connecting the left hemisphere Caudal Middle Frontal and Superior Frontal regions of the Desikan-Killiany atlas, in the MNI ICBM152 reference brain. This bundle was identified using a hybrid approach, incorporating anatomical information (from cortical regions of interest) and fibre shape (fibre clustering), from the tractography datasets of 78 subjects in the Neurospin’s ARCHI database. The map shows the probability of finding a fibre belonging to the bundle in each voxel of the reference brain. The maximum probability corresponds to the voxels with the highest number of putative fibres going through.
DOI: 10.25493/mm88-ts7
title: Distribution and density of Chandelier cell axon terminals in the human cerebral cortex

description: This dataset contains the density of Chandelier (Ch) cell axon terminals in various cytoarchitectonic areas of the human cerebral cortex. Cell density was analyzed on cell-body-stained histological sections of 3 human postmortem brains that were supplied by Dr R. Alcaraz, Forensic Pathology Service, Basque Institute of Legal Medicine, Bilbao, Spain.
DOI: 10.25493/x3gq-a6r
title: Probabilistic cytoarchitectonic map of Area TI (STG) (v6.0)

description: This dataset contains the distinct architectonic Area TI (STG) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area TI (STG). The probability map of Area TI (STG) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area TI (STG): Zachlod et al. (2019) [Data set, v5.1] [DOI: 10.25493/57FA-VX6](https://doi.org/10.25493%2F57FA-VX6) The most probable delineation of Area TI (STG) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493/TAKY-64D) Amunts et al. (2020) [Data set, v2.4] [DOI: 10.25493/A7Y0-NX9](https://doi.org/10.25493%2FA7Y0-NX9) Amunts et al. (2020) [Data set, v2.5] [DOI: 10.25493/8JKE-M53](https://doi.org/10.25493/8JKE-M53) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0)
DOI: 10.25493/f9x3-jvj
title: Probabilistic cytoarchitectonic map of Area hOc3d (Cuneus) (v2.4)

description: This dataset contains the distinct architectonic Area hOc3d (Cuneus) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area hOc3d (Cuneus). The probability map of Area hOc3d (Cuneus) is provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area hOc3d (Cuneus): Kujovic et al. (2018) [Data set, v2.2] [DOI: 10.25493/SAMM-YKZ](https://doi.org/10.25493%2FSAMM-YKZ) The most probable delineation of Area hOc3d (Cuneus) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.25493/z45n-1t
title: Probabilistic cytoarchitectonic map of Area 7PC (SPL) (v8.4)

description: This dataset contains the distinct architectonic Area 7PC (SPL) in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. As part of the Julich-Brain cytoarchitectonic atlas, the area was identified using cytoarchitectonic analysis on cell-body-stained histological sections of 10 human postmortem brains obtained from the body donor program of the University of Düsseldorf. The results of the cytoarchitectonic analysis were then mapped to both reference spaces, where each voxel was assigned the probability to belong to Area 7PC (SPL). The probability map of Area 7PC (SPL) are provided in the NifTi format for each brain reference space and hemisphere. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps for these structures. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Other available data versions of Area 7PC (SPL): Scheperjans et al. (2018) [Data set, v8.2] [DOI: 10.25493/27J7-2YX](https://doi.org/10.25493%2F27J7-2YX) The most probable delineation of Area 7PC (SPL) derived from the calculation of a maximum probability map of all currently released Julich-Brain brain structures can be found here: Amunts et al. (2019) [Data set, v1.13] [DOI: 10.25493/Q3ZS-NV6](https://doi.org/10.25493%2FQ3ZS-NV6) Amunts et al. (2019) [Data set, v1.18] [DOI: 10.25493/8EGG-ZAR](https://doi.org/10.25493%2F8EGG-ZAR) Amunts et al. (2020) [Data set, v2.2] [DOI: 10.25493/TAKY-64D](https://doi.org/10.25493%2FTAKY-64D)
DOI: 10.25493/ambf-6cv
title: Distribution of dopamine 1 receptor positive neurons in the preadolescent male mouse brain

description: High-resolution bright-field microscopy images of coronal brain sections showing dopamine 2 receptor positive neurons across the preadolescent (25 days old) mouse brain. The dataset consists of an image series covering the rostral part of the brain from Drd2-EGFP mice. For each brain, every fourth section was processed by diaminobenzidine (DAB) immunohistochemistry using a polyclonal anti-GFP (RRID:AB_300798) antibody. The publication related to the dataset furthermore includes stereological counts of positive neurons in the prelimbic, infralimbic and insula cortex, as well as in dorsal and ventral striatum.
DOI: 10.25493/a4rg-cjn
title: Immunofluorescence data of cortical layer 6 neurons

description: Molecular characterisation of cortical neurons is important to understand their structure and function in brain microcircuits. Molecular data were collected by using immunofluorescence staining of Forkhead box protein P2 (FoxP2) and M4 muscarinic receptor (M4R) in patch-clamped layer 6 neurons using acutely prepared primary somatosensory (barrel) cortical slices. These data could be reused for comparing with other single-cell mRNA sequencing data.
DOI: 10.25493/aft9-1zv
title: Subcortical modulation of hippocampal activity, single cell recordings in head-restrained, behaving mice

description: Cortical circuits display different functional states under the influence of subcortical modulatory inputs. In our study we aimed to uncover fundamental aspects of this subcortical modulation by focusing on the effect of vGlut3 positive median raphe neurons on the hippocampal circuitry. Single neuron activity as well as population patterns were recorded the dorsal CA1 region in head-restrained, behaving mice, while vGlut3 positive raphe-hippocampal terminals or their source neurons in the median raphe were stimulated. This dataset complements our larger database of hippocampal neurons recorded and filled in hippocampal slices, mainly by characterizing the spontaneous and evoked physiological behavior of the cells under in vivo conditions.
DOI: 10.34810/data72/367
title: 01CO_1.MR.0004.0118.2016.02.04.15.44.11.109375.67138623.IMA
DOI: 10.25493/rkja-zh5
title: Anterograde visualization of projections from ventral orbitofrontal cortex in rat (case: F16)

description: High-resolution bright-field microscopy images (84) of serial coronal brain sections showing anterogradely labeled axons in orbitofrontal cortex (OFC) in a female adult Sprague Dawley rat. Two anterograde tracers, biotinylated dextran amine (BDA) and Phaseolus vulgaris-leucoagglutinin (PHA-L), were injected into the ventral orbitofrontal cortex (VOC). Brain sections are 300 µm apart and 50 µm thick. The dataset contains two complete series throughout the anterior-posterior extent of the brain, contributing to visualization of a topographically organized connectivity from OFC throughout the brain, including the published data on a topographically organized projection to the parahippocampal areas.