A selection of six data set collections from different animal species, brain regions, neuron types, and visualization methods. The DIADEM data sets were compiled during the DIADEM Challenge, a competition to raise awareness of the problem of automated neuronal reconstruction, spur development of automated and semi-automated algorithms, and to gauge the state of the art in the field. The DIADEM data underwent extensive curation, including quality control, metadata annotation, and format standardization, to focus the challenge on the most substantial technical obstacles. This data set package is freely released to train, test, and aid development of automated reconstruction algorithms.
An integrated environment for safely archiving, querying and visualizing imaging data. LONI IDA provides a large-scale archive for neuroimaging, genetics, and phenomic datasets which serves the major neuro-imaging programs.
This compilation of neural data aggregates existing R-fMRI data to provide an initial demonstration of the ability to pool functional data across centers. The 1000 Functional Connectomes dataset aims to (i) establish the presence of a universal functional architecture in the brain, consistently detectable across centers; (ii) investigate the influence of center on R-fMRI measures; (iii) explore the potential impact of demographic variables on R-fMRI measures; and (iv) demonstrate the use of an intersubject variance–based method for identifying putative boundaries between functional networks.
Consists of a dense and consistent map of 358 cortical landmarks. Each DICCCOL is defined by group-wise consistent white-matter fiber connection patterns derived from diffusion tensor imaging (DTI) data. These 358 landmarks are remarkably reproducible over more than one hundred human brains and possess accurate intrinsically established structural and functional cross-subject correspondences validated by large-scale functional magnetic resonance imaging data. In particular, these 358 cortical landmarks can be accurately and efficiently predicted in a new single brain with DTI data. Thus, this set of 358 DICCCOL landmarks comprehensively encodes the common structural and functional cortical architectures, providing opportunities for many applications in brain science including mapping human brain connectomes.
Gathers data concerning membrane channels, receptor and neurotransmitters expressed in specific types of cells. CellPropDB is a repository of published research information related to three neuronal membrane properties: voltage gated conductances, neurotransmitter receptors and neurotransmitter substances. The database provides this information with reference to a neuron as a whole. It can include other cells types of data such as glia, muscle, or gland cells.
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