cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25493/nxf4-x6j
title: Probabilistic map of the amygdalopiriform transition area of the superficial amygdaloid group (SF.APir) (v8.2)

description: This dataset SF.APir contains the distinct cytoarchitectonic subdivision, amygdalopiriform transition area (APir), of the superficial amygdaloid group (SF) 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 amygdalopiriform transition 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 SF.APir. The probability map of SF.APir 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of SF.APir is part of the superficial amygdaloid group (SF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. Assignment of the amygdaloid subdivisions to the SF amygdaloid group is based on the receptor architectonic analysis in [Kedo et al. 2018]. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including SF.APir.
DOI: 10.25493/bper-p4q
title: Probabilistic map of the amygdalohippocampal transition area of the superficial amygdaloid group (SF.AHi) (v8.2)

description: This dataset SF.AHi contains the distinct cytoarchitectonic subdivision, the amygdalohippocampal transition area (AHi), of the superficial amygdaloid group (SF) 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 amygdalohippocampal transition 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 SF.AHi. The probability map of SF.AHi 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of SF.AHi is part of the superficial amygdaloid group (SF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. Assignment of the amygdaloid subdivisions to the SF amygdaloid group is based on the receptor architectonic analysis in [Kedo et al. 2018]. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including SF.AHi.
DOI: 10.25493/8afq-t7x
title: Probabilistic map of the ventral cortical nucleus of the superficial amygdaloid group (SF.VCo) (v8.2)

description: This dataset SF.VCo contains the distinct cytoarchitectonic subdivision, the ventral cortical nucleus (VCo), of the superficial amygdaloid group (SF) 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 ventral cortical nucleus 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 SF.VCo. The probability map of SF.VCo 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 [Amunts et. al 2020]. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets. Available coordinate spaces: • MNI ICBM 152 (2009c Nonlinear Asymmetric) • Colin 27 (1998, cropped) The map of SF.VCo is part of the superficial amygdaloid group (SF) which was also published as a probabilistic map of the Julich-Brain cytoarchitectonic Atlas. Assignment of the amygdaloid subdivisions to the SF amygdaloid group is based on the receptor architectonic analysis in [Kedo et al. 2018]. For technical reasons, this finer parcellation is only representable via individual probabilistic maps due to the spatial resolution of the reference space, i.e., there is no MPM available including SF.VCo.
DOI: 10.25493/ys8z-s68
title: Probabilistic cytoarchitectonic map of the terminal islands of the Tuberculum (Terminal-islands, ventral Striatum, Telencephalon) (v4.0)

description: This dataset contains cytoarchitectonic probability maps of the terminal islands (Basal forebrain) containing delineations in the individual single subject template of the MNI Colin 27 and the MNI ICBM 152 reference space, as part of the Julich-Brain atlas. The nucleus was identified using cytoarchitectonic analysis on cell-body-stained histological sections of ten human postmortem brains obtained from the body donor program of the University of Düsseldorf. The maps show the probability of each voxel belonging to the terminal islands Basal forebrain) in the reference spaces. The dataset is provided in the NifTi format. The Julich-Brain atlas relies on a modular, flexible and adaptive framework containing workflows to create the probabilistic brain maps. Note that methodological improvements and integration of new brain structures may lead to small deviations in earlier released datasets.
DOI: 10.25493/4zcf-3ff
title: GapMap Frontal II (v11.4)

description: This dataset contains the “GapMap Frontal II” in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. In order to provide whole-brain coverage for the cortex within the Julich-Brain Atlas, yet uncharted parts of the frontal cortex have been combined to the brain region “GapMap Frontal II”. The distributions were modeled so that probabilistic gap maps were computed in analogy to other maps of the Julich-Brain Atlas. The probabilistic map of “GapMap Frontal II” 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. New maps are continuously replacing parts of “GapMap Frontal II” with progress in mapping.
DOI: 10.25493/34gr-jzw
title: GapMap Frontal I (v11.4)

description: This dataset contains the “GapMap Frontal I” in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. In order to provide whole-brain coverage for the cortex within the Julich-Brain Atlas, yet uncharted parts of the frontal cortex have been combined to the brain region “GapMap Frontal I”. The distributions were modeled so that probabilistic gap maps were computed in analogy to other maps of the Julich-Brain Atlas. The probabilistic map of “GapMap Frontal I” 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. New maps are continuously replacing parts of “GapMap Frontal I” with progress in mapping.
DOI: 10.25493/eh7j-np0
title: GapMap Frontal to Occipital (v11.4)

description: This dataset contains the “GapMap Frontal to Occipital” in the individual, single subject template of the MNI Colin 27 as well as the MNI ICBM 152 2009c nonlinear asymmetric reference space. In order to provide whole-brain coverage for the cortex within the Julich-Brain Atlas, yet uncharted parts of the frontal cortex have been combined to the brain region “GapMap Frontal to Occipital”. The distributions were modeled so that probabilistic gap maps were computed in analogy to other maps of the Julich-Brain Atlas. The probabilistic map of “GapMap Frontal to Occipital” 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. New maps are continuously replacing parts of “GapMap Frontal to Occipital” with progress in mapping.
DOI: 10.25493/mgkp-z5t
title: Julich-Brain Atlas, cytoarchitectonic maps (v3.0)

description: This dataset contains the Julich-Brain Atlas, Cytoarchitectonic maps in different coordinate spaces. The parcellation provided by the Atlas is derived from the individually released probability maps (PMs) of cytoarchitectonically defined cortical and subcortical brain regions. For the whole-brain parcellation, the available PMs are combined into a maximum probability map (MPM) by considering for each voxel the probability of all cytoarchitectonic brain regions, and determining the most probable assignment. In later versions of this dataset, gap maps complement the maximum probability map of the cytoarchitectonically defined brain regions to achieve full cortical coverage. There are two sets of PMs with a different degree of parcellation included. The set with 157 PMs corresponds to the usual granularity of the Julich-Brain Atlas. This set was used for the calculation of the MPM. Furthermore, a set with 175 PMs is included. This dataset contains, for some regions, more detailed cytoarchitectonic parcellations. For technical reasons, this finer parcellation is only representable via individual PMs due to the spatial resolution of the reference space, i.e., the MPM for the set of 175 PMs is not available. In addition, a set of cortical areas of the MPM is available on the freesurfer fsaverage surface. Note that methodological improvements and integration of new brain structures may lead to small deviations in the parcellation between released versions of this dataset.
DOI: 10.5281/zenodo.7449818
title: Gene expression responses of Bactrocera tryoni larvae feeding on different ripening stages of tomato fruit

description: <em>Bactrocera tryoni </em>larvae rearing in immature-green, color-break, and fully-ripe tomato fruit's RSEM, DGE, Trinity Fasta file, Trinity Fasta gene to transcript map, and Trinotate annotation report data.
DOI: 10.5281/zenodo.7449817
title: Gene expression responses of Bactrocera tryoni larvae feeding on different ripening stages of tomato fruit

description: <em>Bactrocera tryoni </em>larvae rearing in immature-green, color-break, and fully-ripe tomato fruit's RSEM, DGE, Trinity Fasta file, Trinity Fasta gene to transcript map, and Trinotate annotation report data.
DOI: 10.34740/kaggle/dsv/4733722
title: BBC News
DOI: 10.5281/zenodo.7449952
title: Butterfly species list of the Parque Estadual Intervales and surroundings

description: Butterfly list of the Parque Estadual Intervales, São Paulo, Brazil and surroundings, with 312 species. It is part of the manuscript "The butterflies (Lepidoptera, Papilionoidea) of the Parque Estadual Intervales and surroundings, São Paulo, Brazil" - submitted to Biota Neotropica. All details can be found in the manuscript. This publication is redundant with https://doi.org/10.5281/zenodo.7429126 (that contains only the "Butteflies of Intervales.xls" file, with description in Portuguese) and https://doi.org/10.5281/zenodo.7439430 (that contains only the "readme.txt" file).
DOI: 10.5281/zenodo.7449951
title: Butterfly species list of the Parque Estadual Intervales and surroundings

description: Butterfly list of the Parque Estadual Intervales, São Paulo, Brazil and surroundings, with 312 species. It is part of the manuscript "The butterflies (Lepidoptera, Papilionoidea) of the Parque Estadual Intervales and surroundings, São Paulo, Brazil" - submitted to Biota Neotropica. All details can be found in the manuscript. This publication is redundant with https://doi.org/10.5281/zenodo.7429126 (that contains only the "Butteflies of Intervales.xls" file, with description in Portuguese) and https://doi.org/10.5281/zenodo.7439430 (that contains only the "readme.txt" file).
DOI: 10.34740/kaggle/dsv/4733761
title: OntoUML/UFO Catalog
DOI: 10.6084/m9.figshare.21743741
title: Farafangana food security, diets, and malnutrition data

description: The dataset includes fully anonymized survey data from 492 randomly sampled households in Farafangana District of southeastern Madagascar, visited at three points in time between November 2021 and June 2022. Data include, among others, socio-economic background information, experienced food security (FIES indicator), types of staple foods consumed, and diversity of "laoka" side dishes. The dataset also includes anthropometric measures of 365 children aged 6-59 months. Full detail on data collection procedures is provided in Rousseau et al. "Strong seasonality in diets and alarming levels of food insecurity and child malnutrition in south-eastern Madagascar".
DOI: 10.5281/zenodo.7449542
title: Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 00 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 03 and day 00 after drought stress application.
DOI: 10.5281/zenodo.7449541
title: Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 00 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 03 and day 00 after drought stress application.
DOI: 10.5281/zenodo.7449552
title: Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 02 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 03 and day 02 after drought stress application.
DOI: 10.5281/zenodo.7449551
title: Cowpea drought stress application at early vegetative stage 2022 - screen 03 - day 02 - raw image data

description: Cowpea (<em>Vigna unguiculata</em>) miniCore accessions were screened for responses to drought stress at early vegetative stress. The cowpea seedlings were exposed to drought stress at 17 days after germination using the weight of the pot and AAWEsmo device, developed in Julkowska Lab, Boyce Thompson Institute. The seedlings were kept at 60 and 10% of soil water holding capacity for 2 weeks and the data on cowpea shoot size, evapotranspiration and photosystem II efficiency was collected. This dataset represents the images collected for Screen number 03 and day 02 after drought stress application.
DOI: 10.34740/kaggle/dsv/4733807
title: 💥📰 Daily Breaking News Twitter Dataset
DOI: 10.21227/05d3-qm90
title: FSR, EEG, and Emotion Labelled Dataset (FEEL)

description: We present our FEEL (Force, EEG and Emotion-Labelled) dataset, a collection of brain activity, and keypress force data, labelled with self-reported emotion during tense videogame play (N=16).
DOI: 10.34740/kaggle/dsv/4733875
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.6084/m9.figshare.21743771
title: RoT and SS

description: RoT and SS
DOI: 10.6084/m9.figshare.21743771.v1
title: RoT and SS

description: RoT and SS
DOI: 10.5439/1905219
title: ARM: WSACRVPTAUX

description: wsacr
DOI: 10.5439/1905220
title: ARM: WSACRPPIAUX

description: wsacr
DOI: 10.5439/1905221
title: ARM: WSACRBLRHIAUX

description: wsacr
DOI: 10.5281/zenodo.7450215
title: Two data sets of gravitational field degree-2 order-1 Stokes coefficient

description: The SLR Stokes coefficient data are provided by the Space Research Institute (IWF) of the Austrian Academy of Sciences based on SLR observations coordinated by ILRS. The GRACE satellite data are from the Center for Space Research RL06 solutions. All ocean tides, Earth tides and polar tides have been removed.
DOI: 10.5281/zenodo.7450214
title: Two data sets of gravitational field degree-2 order-1 Stokes coefficient

description: The SLR Stokes coefficient data are provided by the Space Research Institute (IWF) of the Austrian Academy of Sciences based on SLR observations coordinated by ILRS. The GRACE satellite data are from the Center for Space Research RL06 solutions. All ocean tides, Earth tides and polar tides have been removed.
DOI: 10.21415/z7y9-xa28
title: PhonBank Vietnamese Vu Corpus
DOI: 10.6084/m9.figshare.21743852
title: Leopard (*Panthera pardus*) microsatellite genetic data collected from Mpumalanga Province, South Africa

description: Data was originally collected and used for the following publication; https://doi.org/10.1007/s10531-022-02531-5 <br> Full methodology and data analysis is outlined in the article. <br> This microsatellite data was collected from 33 wild leopards across the Mpumalanga Province, South Africa. A total of 18 loci were used in the study and all 18 are available in the attached data file. The file is uploaded in an Excel file (GenAlEx), so it can easily be converted into other data analysis formats. <br> There are 3 tabs in the file; 1 - The microsatellite data 2 - GPS locations of where the leopards were captured / sample collected 3 - A breakdown of the animals ID and the reserve/region the sample was collected <br> Author contact email : declanmorris743@gmail.com
DOI: 10.6084/m9.figshare.21743852.v1
title: Leopard (*Panthera pardus*) microsatellite genetic data collected from Mpumalanga Province, South Africa

description: Data was originally collected and used for the following publication; https://doi.org/10.1007/s10531-022-02531-5 <br> Full methodology and data analysis is outlined in the article. <br> This microsatellite data was collected from 33 wild leopards across the Mpumalanga Province, South Africa. A total of 18 loci were used in the study and all 18 are available in the attached data file. The file is uploaded in an Excel file (GenAlEx), so it can easily be converted into other data analysis formats. <br> There are 3 tabs in the file; 1 - The microsatellite data 2 - GPS locations of where the leopards were captured / sample collected 3 - A breakdown of the animals ID and the reserve/region the sample was collected <br> Author contact email : declanmorris743@gmail.com
DOI: 10.34943/fba4ea49-b0b3-4689-9f78-634c5fc18d12
title: Endeavour South Current Meter Deployed 2019-09-20

description: The Nortek Aquadopp Current Meter A2L2499 was deployed on 2019-09-20 at Endeavour South. This south section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.34943/01f2d4e6-7d47-4e86-81b2-718e35740559
title: Endeavour North Current Meter Deployed 2011-09-13

description: The Nortek Aquadopp Current Meter A2L2499 was deployed on 2011-09-13 at Endeavour North. This north section of the Endeavour Hydrothermal Vents includes two moorings to monitor the regional circulation. This device is a Current Meter. Acoustic Current Meters (ACM) measure current speed and direction, using the Doppler Effect. Aquadopp current metres have a sensor head that contains 3 acoustic transducers, a tilt sensor, a temperature sensor and a pressure sensor. The instrument transmits a short pulse of sound, and then listens to its echo to measure the change in pitch or frequency. The change in pitch can determine the velocity of the current. It was deployed on a fixed platform. Data from this deployment were archived and made available through Ocean Networks Canada's Oceans 2.0 digital infrastructure, with quality assurance and derived data products following established practices.
DOI: 10.5517/ccdc.csd.cc26yshg
title: CCDC 2054416: Experimental Crystal Structure Determination

description: Related Article: Haiquan Yang, Alexander Hinz, Qingqing Fan, Shangqing Xie, Xinghao Qi, Wei Huang, Qingshuang Li, Hongjian Sun, Xiaoyan Li|2022|Inorg.Chem.|61|19710|doi:10.1021/acs.inorgchem.2c02094
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc26ysjh
title: CCDC 2054417: Experimental Crystal Structure Determination

description: Related Article: Haiquan Yang, Alexander Hinz, Qingqing Fan, Shangqing Xie, Xinghao Qi, Wei Huang, Qingshuang Li, Hongjian Sun, Xiaoyan Li|2022|Inorg.Chem.|61|19710|doi:10.1021/acs.inorgchem.2c02094
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.