cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/cg41-q6u
title: Probabilistic cytoarchitectonic map of Area 5M (SPL) (v8.2)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area 5M (SPL) 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 classical histological criteria and quantitative 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 5M (SPL). The probability map of Area 5M (SPL) 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 5M (SPL): Scheperjans et al. (2019) [Data set, v8.4] [DOI: 10.25493/Y12F-YMU](https://doi.org/10.25493%2FY12F-YMU) The most probable delineation of Area 5M (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: 10.34810/data72/353
title: 01CO_1.MR.0004.0145.2016.02.04.15.44.11.109375.67139705.IMA
DOI: 10.25493/kgk5-vkp
title: Interpolated 3D map of Area hIP4 (IPS) in the BigBrain

description: This dataset contains cytoarchitectonic maps of Area hIP4 (IPS) in the Big Brain dataset [Amunts et al. 2013]. The mappings were created using the semi-automatic method presented in Schleicher et al. 1999, based on coronal histological sections on 1 micron resolution. Mappings are available on approximately every 15-60th section of this region. They were then aligned to the corresponding sections of the 3D reconstructed Big Brain space, using the transformations used in Amunts et al. 2013, kindly provided by Claude Lepage (McGill University). From these delineations, a preliminary 3D map of Area hIP4 (IPS) has been created by simple interpolation of the coronal contours in the 3D anatomical space of the Big Brain. This map gives a first impression of the location of this area in the Big Brain, and can be viewed in the atlas viewer using the URL below. A full mapping of this area in every histological section using a Deep Learning approach is in progress. **Additional information:** The reference delineations used for this map are part of the work for the corresponding probabilistic map of Area hIP4 (IPS) of the JuBrain Cytoarchitectonic Atlas, published in: Richter et al. (2019) [Data set, v7.0] [DOI: 10.25493/DFB3-SPJ](https://doi.org/10.25493%2FDFB3-SPJ) Richter et al. (2019) [Data set, v7.1] [DOI: 10.25493/TSEN-QSY](https://doi.org/10.25493%2FTSEN-QSY) In addition, the dataset of the probabilistic cytoarchitectonic map of Area hIP4 (IPS) is part of the following research publication: Richter, M., Amunts, K., Mohlberg, H., Bludau, S., Eickhoff, S. B., Zilles, K., Caspers, S. (2018). Cytoarchitectonic segregation of human posterior intraparietal and adjacent parieto-occipital sulcus and its relation to visuomotor and cognitive functions. Cerebral Cortex, 29(3), 1305-1327 [DOI: 10.1093/cercor/bhy245](https://doi.org/10.1093%2Fcercor%2Fbhy245%20)
DOI: 10.25493/aybb-bxv
title: Neuropsin tetracycline-transactivator expression: horizontal sections (case 2877)

description: Bright-field microscopy images of serial horizontal brain sections showing neuropsin (Nop) promoter expression in a bigenic Nop-tetracycline-transactivator (tTA) mouse brain (case 2877, adult male), using a driver-reporter construct in which the Nop-tTA promoter regulates the expression of the E. coli derived LacZ reporter gene encoding β-galactosidase, which is visualized histologically using X-gal (5-Bromo-4-chloro-3-indolyl β-d-galactopyranoside) as a substrate. Methodological details are provided in Yetman et al., Brain Struct Funct 221:2231-49, 2016. Our data show that the Nop-tTA promoter mainly is expressed in the entorhinal cortex, but also in several other cortical regions.
DOI: 10.25493/8wep-fqh
title: Probability map of bundle rh_IP-SM_0 (atlas of superficial white matter fibre bundles, version 2018)

description: This data contains the probability map of a short fibre bundle connecting the right hemisphere Inferior Parietal and Supramarginal 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/akae-zwp
title: Probabilistic cytoarchitectonic map of Area TE 1.0 (HESCHL) (v6.0)

description: This dataset contains the distinct architectonic Area TE 1.0 (HESCHL) 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 TE 1.0 (HESCHL). The probability map of Area TE 1.0 (HESCHL) 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 TE 1.0 (HESCHL): Morosan et al. (2018) [Data set, v5.0] [DOI: 10.25493/CP2T-FYT](https://doi.org/10.25493%2FCP2T-FYT) Morosan et al. (2019) [Data set, v5.1] [DOI: 10.25493/MV3G-RET](https://doi.org/10.25493%2FMV3G-RET) The most probable delineation of Area TE 1.0 (HESCHL) 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) Amunts et al. (2021) [Data set, v2.6] [DOI: 10.25493/KJQN-AM0](https://doi.org/10.25493%2FKJQN-AM0)
DOI: 10.25493/bjb6-jv7
title: Probabilistic cytoarchitectonic map of Area hOc5 (LOC) (v4.0)

description: This dataset contains the distinct architectonic Area hOc5 (LOC) 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 hOc5 (LOC). The probability map of Area hOc5 (LOC) 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 hOc5 (LOC): Malikovic et al. (2018) [Data set, v2.2] [DOI: 10.25493/BPG7-360](https://doi.org/10.25493%2FBPG7-360) Malikovic et al. (2019) [Data set, v2.4] [DOI: 10.25493/2WSH-MCT](https://doi.org/10.25493%2F2WSH-MCT) The most probable delineation of Area hOc5 (LOC) 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: 10.5281/zenodo.5115245
title: CoVaxxy Tweet IDs data set

description: A collection of Tweet IDs related to Covid-19 Vaccines, gathered from Twitter since Jan 4, 2021. Please see https://arxiv.org/abs/2101.07694 for more information.
DOI: 10.25493/nhhm-1s5
title: Neuronal activity elicited by figure-ground stimuli in primary visual cortex of the awake mouse

description: Figure-ground segregation is the process by which the visual system identifies image elements of figures and segregates them from the background. This dataset of electrophysiological recordings in V1 of awake mice revealed that the responses elicited by figures were stronger than those elicited by the background and even stronger at the edge between figure and background. A figural response could even be evoked in the absence of a stimulus in the V1 receptive field. Current-source-density analysis suggested that the extra activity was caused by synaptic inputs into layer 2/3. The results of the dataset were published (see related publications).
DOI: 10.25493/6q48-qn4
title: 3D cyto- and receptor architectonic map of macaque lateral premotor area F4d

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 F4d 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/jbv5-s9n
title: Wide-field calcium imaging of distributed cortical activation elicited by electrical stimulation of Deep Cerebellar Nuclei

description: In this study we evaluated the effective connectivity between Deep Cerebellar Nuclei (DCN) and cerebral cortex over one hemisphere. To this aim, we performed electrical stimulation of Dentate nucleus simultaneously with wide-field imaging of distributed calcium activity over the contralateral cortical hemisphere. To visualize neuronal activity, we used a transgenic mouse line (Thy1-GCaMP6f) that expresses the fluorescent indicator GCaMP6f in a subset of excitatory neurons.
DOI: 10.25493/zj7e-kxz
title: Density measurements of different receptors for dorsal part of Area hOc2 (V2, 18) [human, v1.0]

description: This dataset contains the densities (in fmol/mg protein) of receptors for classical neurotransmitters in the dorsal part of Area hOc2 (V2, 18) 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_ **GABA<sub>A</sub>/BZ** \| **_GABA_** \| _[<sup>3</sup>H]flumazenil_ **muscarinic M<sub>1</sub>** \| **_acetylcholine_** \| _[<sup>3</sup>H]pirenzepine_ **muscarinic M<sub>2</sub>** \| **_acetylcholine_** \| _[<sup>3</sup>H]oxotremorine-M_ **muscarinic M<sub>3</sub>** \| **_acetylcholine_** \| _[<sup>3</sup>H]4-DAMP_ **nicotinic α<sub>4</sub>β<sub>2</sub>** \| **_acetylcholine_** \| _[<sup>3</sup>H]epibatidine_ **α<sub>1</sub>** \| **_noradrenalin/norepinephrine_** \| _[<sup>3</sup>H]prazosin_ **α<sub>2</sub>** \| **_noradrenalin/norepinephrine_** \| _[<sup>3</sup>H]UK-14,304_ **5-HT<sub>1A</sub>** \| **_serotonin_** \| _[<sup>3</sup>H]8-OH-DPAT_ **5-HT<sub>2</sub>** \| **_serotonin_** \| _[<sup>3</sup>H]ketanserin_ **D<sub>1</sub>** \| **_dopamine_** \| _[<sup>3</sup>H]SCH23390_ For exemplary samples, we also provide laminar _profiles_ (**pr**) and/or color-coded laminar _autoradiography_ images (**ar**). The density profiles provide, for a single tissue sample, an exemplary density distribution for a single receptor from the pial surface to the border between layer VI and the white matter. The autoradiography images show an exemplary density distribution of a single receptor for one laminar cross-section in a single tissue sample. Information on the used tissue samples and corresponding subjects for the receptor fingerprints, profiles and autoradiographs as well as a list of 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/sv5z-fsb
title: CCEP database of the Medical Informatics Platform

description: Single-pulse direct electrical stimulation of cortical regions in patients suffering from focal drug-resistant epilepsy who are explored using intracranial electrodes induces electrophysiological responses. Such cortico-cortical evoked potentials (CCEP) can be used to infer functional and anatomical brain connectivity. This pseudonymized database in BIDS-iEEG format contains stereotactic EEG data obtained in implanted epileptic patients who were candidates to resective surgery and undergone intracortical stimulations. The data were collected from a multicenter population of 217 patients. This database can contribute to the development and validation of human brain atlases and whole brain models by integrating relevant information from CCEPs.
DOI: 10.25493/w34d-8cc
title: Location of pontocerebellar neurons projecting to tactile regions in the rat cerebellar hemispheres

description: 3D reconstructed point coordinate data representing the spatial location of the somata of pontine neurons projecting to tactile regions in the cerebellar hemisphere, labelled after focal or widespread retrograde tracer injection into tactile representations in the crown of crus IIa. The data show that the somata of pontine neurons projecting to crus IIa are located centrally in the pontine nuclei, primarily contralateral to the injected side.
DOI: 10.25493/4hfc-6zx
title: Cell density and distribution in the somatosensory cortex of the mouse brain

description: Density and distribution of different types of cells in the somatosensory cortex in fixed brains.
DOI: 10.25493/bh6r-gsn
title: Probability map of bundle rh_CAC-PrCu_0 (atlas of superficial white matter fibre bundles, version 2018)

description: This data contains the probability map of a short fibre bundle connecting the right hemisphere Caudal Anterior Cingulate and Precuneus 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: 10.25493/6kw7-q3b
title: 3D cyto- and receptor architectonic map of macaque area Opt of the inferior parietal lobe

description: A multimodal analysis of the macaque inferior parietal lobule 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 inferior parietal lobe, in combination with an in vitro quantitative receptor autoradiographic analysis of the regional and laminar distribution patterns of 15 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 area Opt 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: 10.34810/data72/354
title: 01CO_1.MR.0004.0139.2016.02.04.15.44.11.109375.67139465.IMA
DOI: 10.25493/n6vw-t51
title: Probability map of bundle lh_RMF-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 Rostral 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: 10.25493/27j7-2yx
title: Probabilistic cytoarchitectonic map of Area 7PC (SPL) (v8.2)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area 7PC (SPL) 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 classical histological criteria and quantitative 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 7PC (SPL). The probability map of Area 7PC (SPL) 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 7PC (SPL): Scheperjans et al. (2019) [Data set, v8.4] [DOI: 10.25493/Z45N-1T](https://doi.org/10.25493%2FZ45N-1T) 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/s2gq-tam
title: Glutamatergic and GABAergic axon terminals in the hindlimb somatosensory cortex of the mouse

description: The densities of Glutamatergic and GABAergic axon terminals have been estimated in the different layers of the mouse hindlimb somatosensory cortex. Immunofluorescence techniques with antibodies directed to vGlut1 and vGAT vesicular transporters, to label Glutamatergic and GABAergic axon terminals respectively, were used in coronal sections obtained from the brain of five mice. Confocal microscopy and 3D object counting techniques were used to estimate the densities of axon terminals in 15 samples from each cortical layer and animal.
DOI: 10.25493/m1xp-vsq
title: Probabilistic cytoarchitectonic map of HATA (Hippocampus) (v11.1)

description: This dataset contains the distinct architectonic HATA (Hippocampus) 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 HATA (Hippocampus). The probability map of HATA (Hippocampus) 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 HATA (Hippocampus): Amunts et al. (2018) [Data set, v11b.0] [DOI: 10.25493/VHFH-N2](https://doi.org/10.25493%2FVHFH-N2) The most probable delineation of HATA (Hippocampus) 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)