cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/f87e-jra
title: Probabilistic cytoarchitectonic map of Area FG3 (FusG) (v7.2)

description: This dataset contains the distinct architectonic Area FG3 (FusG) 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 FG3 (FusG). The probability map of Area FG3 (FusG) 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 FG3 (FusG): Lorenz et al. (2018) [Data set, v6.0] [DOI: 10.25493/E7VG-4NG](https://doi.org/10.25493%2FE7VG-4NG) Lorenz et al. (2019) [Data set, v6.1] [DOI: 10.25493/Z0F6-0SY](https://doi.org/10.25493%2FZ0F6-0SY) Lorenz et al. (2020) [Data set, v7.0] [DI: 10.25493/D0QK-YSX](https://doi.org/10.25493%2FD0QK-YSX) The most probable delineation of Area FG3 (FusG) 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) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.25493/1ctc-2gs
title: Probabilistic cytoarchitectonic map of Area OP8 (Frontal Operculum) (v6.2)

description: This dataset contains the distinct architectonic Area OP8 (Frontal Operculum) 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 OP8 (Frontal Operculum). The probability map of Area OP8 (Frontal Operculum) 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 OP8 (Frontal Operculum): Saal et al. (2019) [Data set, v5.0] [DOI: 10.25493/1NGE-YH3](https://doi.org/10.25493%2F1NGE-YH3) Saal et al. (2019) [Data set, v5.1] [DOI: 10.25493/NGF8-TA4](https://doi.org/10.25493%2FNGF8-TA4) Saal et al. (2020) [Data set, v6.0] [DOI: 10.25493/C0M6-NSY]() The most probable delineation of Area OP8 (Frontal Operculum) 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) 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) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.25493/n13y-y3f
title: Probabilistic cytoarchitectonic map of Area 44 (IFG) (v9.2)

description: This dataset contains the distinct architectonic Area 44 (IFG) 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 44 (IFG). The probability map of Area 44 (IFG) 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 44 (IFG): Amunts et al. (2018) [Data set, v7.2] [DOI: 10.25493/J2KZ-AZW](https://doi.org/10.25493%2FJ2KZ-AZW) Amunts et al. (2019) [Data set, v7.4] [DOI: 10.25493/F9P8-ZVW](https://doi.org/10.25493%2FF9P8-ZVW) Amunts et al. (2020) [Data set, v9.0] [DOI: 10.25493/EEAQ-XWR](https://doi.org/10.25493%2FEEAQ-XWR) The most probable delineation of Area 44 (IFG) 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) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.15144/s4mw21
title: Products of the MITgcm Antarctic Slope Front (MITgcm_ASF) process model, used to study the momentum balance of the Antarctic Slope Current
DOI: 10.5281/zenodo.5149389
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: 10.6084/m9.figshare.15072537
title: Experimental Evolution of the Megaplasmid pMPPla107 in Pseudomonas stutzeri Enables Identification of Genes Contributing to Sensitivity to an Inhibitory Agent

description: A set of supplemental files and documents for the publication entitled "Experimental Evolution of the Megaplasmid pMPPla107 in Pseudomonas stutzeri Enables Identification of Genes Contributing to Sensitivity to an Inhibitory Agent"<br>FigsS1-10 are raw pictures from overlay experiments demonstrating inhibition (or lack thereof by supernatants).<br>Fig. S11 is a Mauve alignment of the 4p0, 4Bp500, and pMPPla107 megaplasmid sequences built in Geneious using default parametersFileS1 is a .fasta file used to create the skaA allelic exchange vector<br>FilesS2-S4 are .fasta files of genome assemblies using Illumina reads for strains 4p0, 4Bp500, and 5Bp500. Genomes were assembled by unicycler v0.4.8 using default parameters.<br>File S5 is the .pdb file <br>Table S1 is a list of strains and plasmids used in this study, provided in PDF and .xlsx format
DOI: 10.6084/m9.figshare.15072537.v3
title: Experimental Evolution of the Megaplasmid pMPPla107 in Pseudomonas stutzeri Enables Identification of Genes Contributing to Sensitivity to an Inhibitory Agent

description: A set of supplemental files and documents for the publication entitled "Experimental Evolution of the Megaplasmid pMPPla107 in Pseudomonas stutzeri Enables Identification of Genes Contributing to Sensitivity to an Inhibitory Agent"<br>FigsS1-10 are raw pictures from overlay experiments demonstrating inhibition (or lack thereof by supernatants).<br>Fig. S11 is a Mauve alignment of the 4p0, 4Bp500, and pMPPla107 megaplasmid sequences built in Geneious using default parametersFileS1 is a .fasta file used to create the skaA allelic exchange vector<br>FilesS2-S4 are .fasta files of genome assemblies using Illumina reads for strains 4p0, 4Bp500, and 5Bp500. Genomes were assembled by unicycler v0.4.8 using default parameters.<br>File S5 is the .pdb file <br>Table S1 is a list of strains and plasmids used in this study, provided in PDF and .xlsx format
DOI: 10.6084/m9.figshare.15072537.v2
title: Experimental Evolution of the Megaplasmid pMPPla107 in Pseudomonas stutzeri Enables Identification of Genes Contributing to Sensitivity to an Inhibitory Agent

description: A set of supplemental files and documents for the publication entitled "Experimental Evolution of the Megaplasmid pMPPla107 in Pseudomonas stutzeri Enables Identification of Genes Contributing to Sensitivity to an Inhibitory Agent"<br>FigsS1-10 are raw pictures from overlay experiments demonstrating inhibition (or lack thereof by supernatants).<br>Fig. S11 is a Mauve alignment of the 4p0, 4Bp500, and pMPPla107 megaplasmid sequences built in Geneious using default parametersFileS1 is a .fasta file used to create the skaA allelic exchange vector<br>FilesS2-S4 are .fasta files of genome assemblies using Illumina reads for strains 4p0, 4Bp500, and 5Bp500. Genomes were assembled by unicycler v0.4.8 using default parameters.<br>File S5 is the .pdb file
DOI: 10.13012/b2idb-8275554_v1
title: Optical topometry and machine learning to rapidly phenotype stomatal patterning traits for maize QTL mapping

description: This dataset containes the images of B73xMS71 RIL population used in QTL linkage mapping for maize epidermal traits in year 2016 and 2017. 2016RIL_all_mns.rar and 2017RIL_all_mns.rar: contain raw images produced by Nanofocus lsurf Explorer Optical Topometer (Oberhausen, Germany) at 20X magnification with 0.6 numerical aperture. Files were processed in Nanofocus μsurf analysis extended software (Oberhausen,Germany). 2016RIL_all_TIF.rar and 2017RIL_all_TIF.rar: contain images processed from the Topology layer in each nms file to strengthen the edges of cell outlines, and used in downstream cell detection. 2016RIL_all_detection_result.rar and 2017RIL_all_detection_result.rar: contain images with epidermal cells predicted using the Mask R-CNN model. training data.rar: contain images used for Mask R-CNN model training and validation.
DOI: 10.6085/aa/ihopxx_xxxix03xmsr01_20181023.40.1
title: (:unkn)
DOI: 10.6085/aa/ihopxx_xxxix03xmsr01_20181023.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Hopkins (IHOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Hopkins by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/imckxx_xxxitv2xmsr01_20181114.40.1
title: (:unkn)
DOI: 10.6085/aa/imckxx_xxxitv2xmsr01_20181114.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Mill Creek (IMCKXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Mill Creek by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20140415.40.1
title: (:unkn)
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20140415.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Partington Cove (IPCVXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Partington Cove by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20150704.40.1
title: (:unkn)
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20150704.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Partington Cove (IPCVXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Partington Cove by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20160405.40.1
title: (:unkn)
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20160405.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Partington Cove (IPCVXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Partington Cove by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20190430.40.1
title: (:unkn)
DOI: 10.6085/aa/ipcvxx_xxxitv2xmsr01_20190430.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Partington Cove (IPCVXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Partington Cove by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipesxx_xxxitv2xmsr01_20180510.40.1
title: (:unkn)
DOI: 10.6085/aa/ipesxx_xxxitv2xmsr01_20180510.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Pescadero Point (IPESXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pescadero Point by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipesxx_xxxitv2xmsr01_20190417.40.1
title: (:unkn)
DOI: 10.6085/aa/ipesxx_xxxitv2xmsr01_20190417.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Pescadero Point (IPESXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pescadero Point by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipiexx_xxxitv2xmsr01_20161013.40.1
title: (:unkn)
DOI: 10.6085/aa/ipiexx_xxxitv2xmsr01_20161013.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Piedras Blancas Lighthouse (IPIEXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Piedras Blancas Lighthouse by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipiexx_xxxitv2xmsr01_20170302.40.1
title: (:unkn)
DOI: 10.6085/aa/ipiexx_xxxitv2xmsr01_20170302.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Piedras Blancas Lighthouse (IPIEXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Piedras Blancas Lighthouse by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipsnxx_xxxix03xmsr01_20181030.40.1
title: (:unkn)
DOI: 10.6085/aa/ipsnxx_xxxix03xmsr01_20181030.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Sierra Nevada (IPSNXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Sierra Nevada by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/iptlxx_xxxitv2xmsr01_20181030.40.1
title: (:unkn)
DOI: 10.6085/aa/iptlxx_xxxitv2xmsr01_20181030.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Lobos (IPTLXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Lobos by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/iptpxx_xxxitv2xmsr01_20180412.40.1
title: (:unkn)
DOI: 10.6085/aa/iptpxx_xxxitv2xmsr01_20180412.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Pinos (IPTPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Pinos by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/iptpxx_xxxitv2xmsr01_20190410.40.1
title: (:unkn)
DOI: 10.6085/aa/iptpxx_xxxitv2xmsr01_20190410.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Point Pinos (IPTPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Point Pinos by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipvaxx_xxxitv2xmsr01_20190430.40.1
title: (:unkn)
DOI: 10.6085/aa/ipvaxx_xxxitv2xmsr01_20190430.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Pacific Valley (IPVAXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pacific Valley by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/ipvaxx_xxxix03xmsr01_20200520.40.1
title: (:unkn)
DOI: 10.6085/aa/ipvaxx_xxxix03xmsr01_20200520.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Pacific Valley (IPVAXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Pacific Valley by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/isopxx_xxxitv2xmsr01_20121120.40.1
title: (:unkn)
DOI: 10.6085/aa/isopxx_xxxitv2xmsr01_20121120.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Soberanes (ISOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Soberanes by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/isopxx_xxxix03xmsr01_20181030.40.1
title: (:unkn)
DOI: 10.6085/aa/isopxx_xxxix03xmsr01_20181030.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Soberanes (ISOPXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Soberanes by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.6085/aa/istcxx_xxxitv2xmsr01_20181030.40.1
title: (:unkn)
DOI: 10.6085/aa/istcxx_xxxitv2xmsr01_20181030.50.1
title: MARINe/PISCO: Intertidal: site temperature data: Stillwater (ISTCXX)

description: This metadata record describes a mix of intertidal seawater and air temperature data collected at Stillwater by MARINe/PISCO. Measurements were collected using Temperature Loggers from Onset Computer Corp
DOI: 10.25493/s2hh-89k
title: Probabilistic cytoarchitectonic map of CA3 (Hippocampus) (v13.2)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of CA3 (Hippocampus) 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 CA3 (Hippocampus). The probability map of CA3 (Hippocampus) 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 CA3 (Hippocampus): Amunts et al. (2020) [Data set, v11b.0] [DOI: 10.25493/MQ0Y-22E](https://doi.org/10.25493/MQ0Y-22E) Palomero-Gallagher et al. (2020) [Data set, v11.1] [DOI: 10.25493/C546-GS0](https://doi.org/10.25493%2FC546-GS0) Palomero-Gallagher et al. (2020) [Data set, v13.0] [DOI: 10.25493/S4VD-N70](https://doi.org/10.25493%2FS4VD-N70) The most probable delineation of CA3 (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. (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) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)
DOI: 10.25493/5dc3-k2a
title: Probabilistic cytoarchitectonic map of Area Id3 (Insula) (v9.1)

description: This dataset contains the distinct probabilistic cytoarchitectonic map of Area Id3 (Insula) 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 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 both reference spaces, where each voxel was assigned the probability to belong to Area Id3 (Insula). The probability map of Area Id3 (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 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 Id3 (Insula): Quabs et al. (2019) [Data set, v7.1] [DOI: 10.25493/AE2S-KT6](https://doi.org/10.25493%2FAE2S-KT6) Quabs et al. (2020) [Data set, v8.0] [DOI: 10.25493/X499-RBU](https://doi.org/10.25493%2FX499-RBU) The most probable delineation of Area Id3 (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) 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) Amunts et al. (2021) [Data set, v2.9] [DOI: 10.25493/VSMK-H94](https://doi.org/10.25493/VSMK-H94)