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https://biccn.org

Consortium for the cell census in the brain. Integrated network of data generating centers, data archives, and data standards developers, with the goal of systematic multimodal brain cell type profiling and characterization. Emphasis of the BICCN is on the whole mouse brain with demonstration of prototype feasibility for human and nonhuman primate brains.

Proper citation: BICCN (RRID:SCR_015820) Copy   

•   Source: SciCrunch Registry

http://api.brain-map.org/api/v2/structure_graph_download/1.json

Developed for Allen Reference Atlas and follows terminology from Brain Maps: Structure for the Rat Brain (Swanson, 2004, 2018). The ontology has been subsequently extended and revised to also serve as structure ontology for Allen Mouse Common Coordinate Framework.Defines hierarchical partonomy of anatomical structures of adult mouse brain. At top level, brain is divided into gray matter, fiber tracts and ventricular systems. Gray matter is subdivided into cerebrum, brain stem, and cerebellum, which are themselves organized into subregions in hierarchical tree.

Proper citation: Allen Mouse Reference Atlas Ontology (RRID:SCR_021000) Copy   

•   Source: SciCrunch Registry

http://glioblastoma.alleninstitute.org/

Platform for exploring the anatomic and genetic basis of glioblastoma at the cellular and molecular levels that includes two interactive databases linked together by de-identified tumor specimen numbers to facilitate comparisons across data modalities: * The open public image database, here, providing in situ hybridization data mapping gene expression across the anatomic structures inherent in glioblastoma, as well as associated histological data suitable for neuropathological examination * A companion database (Ivy GAP Clinical and Genomic Database) offering detailed clinical, genomic, and expression array data sets that are designed to elucidate the pathways involved in glioblastoma development and progression. This database requires registration for access. The hope is that researchers all over the world will mine these data and identify trends, correlations, and interesting leads for further studies with significant translational and clinical outcomes. The Ivy Glioblastoma Atlas Project is a collaborative partnership between the Ben and Catherine Ivy Foundation, the Allen Institute for Brain Science and the Ben and Catherine Ivy Center for Advanced Brain Tumor Treatment.

Proper citation: Ivy Glioblastoma Atlas Project (RRID:SCR_005044) Copy   

•   Source: SciCrunch Registry

http://mousespinal.brain-map.org/about.html

Platform for exploring spinal cord at cellular and molecular levels. Map of gene expression for adult and juvenile mouse spinal cord. Provides map of normal mouse when used to compare gene expression in diseased or injury models. Interactive database of gene expression mapped across all anatomic segments of mouse spinal cord at postnatal days 4 and 56. Indexed set of images based on RNA in situ hybridization data, searchable and sortable by gene, age, expression, cervical, thoracic, lumbar, sacral, and coccygeal segments.

Proper citation: Allen Mouse Spinal Cord Atlas (RRID:SCR_007418) Copy   

•   Source: SciCrunch Registry

http://sleep.alleninstitute.org

Collection of gene expression data in mouse brain for five different conditions of sleep and wakefulness to understand sleep deprivation and dynamic changes underlying sleep and wake cycles. Platform to generate cellular resolution expression data.

Proper citation: Allen Institute for Brain Science Sleep Study (RRID:SCR_002983) Copy   

•   Source: SciCrunch Registry

https://www.portal.brain-bican.org/

Provides molecular and anatomical foundational framework for study of brain function and disorders.Comprehensive Center on Human and Non-Human Primate Brain Cell Atlases with goal to build reference brain cell atlases that will be used throughout research community.

Proper citation: BRAIN Initiative Cell Atlas Network (RRID:SCR_022794) Copy   

•   Source: SciCrunch Registry

http://connectivity.brain-map.org/

Map of neural connections in mouse brain, built on an array of transgenic mice genetically engineered to target specific cell types. In addition to the connectivity data, information about the transgenic mouse lines and genetic tracers is available. Consists of high resolution 2-D projectivity image data that can be viewed side-by-side with the associated reference atlas and other reference datasets. Enables 3-D visualization and spatial/ontological search of connectivity models through a combination of manual and informatics analyses.

Proper citation: Allen Mouse Brain Connectivity Atlas (RRID:SCR_008848) Copy   

•   Source: SciCrunch Registry

https://knowledge.brain-map.org/

Comprehensive multi-species platform for neuroscience teams to understand brain cells and anatomy. Brain Knowledge Platform includes catalog of relevant data and projects, as well as visualization tools for understanding brain cell types.

Proper citation: Brain Knowledge Platform (RRID:SCR_027180) Copy   

•   Source: SciCrunch Registry

http://www.3dbar.org

Software package for reconstructing three-dimensional models of brain structures from 2-D delineations using a customizable and reproducible workflow. 3dBAR also works as an on-line service (http://service.3dbar.org) offering a variety of functions for the hosted datasets: * downloading reconstructions of desired brain structures in predefined quality levels in various supported formats as well as created using customizable settings, * previewing models as bitmap thumbnails and (for webGL enabled browsers) interactive manipulation (zooming, rotating, etc.) of the structures, * downloading slides from available datasets as SVG drawings. 3dBAR service can also be used by other websites or applications to enhance their functionality. * Operating System: Linux * Programming Language: Python * Supported Data Format: NIfTI-1, Other Format, VRML

Proper citation: 3DBar (RRID:SCR_008896) Copy   

•   Source: SciCrunch Registry

http://cellfinder.de/

Database of mapped validated gene and protein expression, phenotype and images related to cell types. The data allow characterization and comparison of cell types and can be browsed by using the body browser and by searching for cells or genes. All cells are related to more complex systems such as tissues, organs and organisms and arranged according to their position in development. CellFinder provides long-term data storage for validated and curated primary research data and provides additional expert-validation through relevant information extracted from text. Operated under the Open Source/Access model, community and scientific networking applications will allow users to store and retrieve their data and to explore cells and their interactions on singular and complex resolution levels. The involvement of stem cell registries and banks will allow direct access to selected cells. The set up the stem cell data repository will involve three lines of action: * the acquisition of scientific data and contents * the standardized description of this data, its organization with the help of ontologies and technical implementation * the integration of existing sources/logistics and to ensure sustainable long-term operation

Proper citation: CellFinder (RRID:SCR_006598) Copy   

•   Source: SciCrunch Registry

http://senselab.med.yale.edu/modeldb/

Curated database of published models so that they can be openly accessed, downloaded, and tested to support computational neuroscience. Provides accessible location for storing and efficiently retrieving computational neuroscience models.Coupled with NeuronDB. Models can be coded in any language for any environment. Model code can be viewed before downloading and browsers can be set to auto-launch the models. The model source code has to be available from publicly accessible online repository or WWW site. Original source code is used to generate simulation results from which authors derived their published insights and conclusions.

Proper citation: ModelDB (RRID:SCR_007271) Copy   

•   Source: SciCrunch Registry

http://genome.ucsc.edu/cgi-bin/hgVisiGene

Virtual microscope for viewing in situ images that show where a gene is used in an organism, sometimes down to cellular resolution. The user can examine cell-by-cell as well as tissue-by-tissue expression patterns. Users can retrieve images that meet specific search criteria, then interactively zoom and scroll across the collection. Image set contributions are welcome. The following image collections are currently available for browsing: * High-quality high-resolution images of eight-week-old male mouse sagittal brain slices with reverse-complemented mRNA hybridization probes from the Allen Brain Atlas, courtesy of the Allen Institute for Brain Science * Mouse in situ images from the Jackson Lab Gene Expression Database (GXD) at MGI * Transcription factors in mouse embryos from the Mahoney Center for Neuro-Oncology * Mouse head and brain in situ images from NCBI''''s Gene Expression Nervous System Atlas (GENSAT) database * Xenopus laevis in situ images from the National Institute for Basic Biology (NIBB) XDB project

Proper citation: VisiGene Image Browser (RRID:SCR_003341) Copy   

•   Source: SciCrunch Registry

http://neuromorpho.org/index.jsp

Centrally curated inventory of digitally reconstructed neurons associated with peer-reviewed publications that contains some of the most complete axonal arborizations digitally available in the community. Each neuron is represented by a unique identifier, general information (metadata), the original and standardized ASCII files of the digital morphological reconstruction, and a set of morphometric features. It contains contributions from over 100 laboratories worldwide and is continuously updated as new morphological reconstructions are collected, published, and shared. Users may browse by species, brain region, cell type or lab name. Users can also download morphological reconstructions for research and analysis. Deposition and distribution of reconstruction files ultimately prevents data loss. Centralized curation and annotation aims at minimizing the effort required by data owners while ensuring a unified format. It also provides a one-stop entry point for all available reconstructions, thus maximizing data visibility and impact.

Proper citation: NeuroMorpho.Org (RRID:SCR_002145) Copy   

•   Source: SciCrunch Registry

https://github.com/Neural-Systems-at-UIO/MeshView-for-Brain-Atlases

Web application for real time 3D display of surface mesh data representing structural parcellations and generation of user defined cut planes from volumetric atlases.

Proper citation: MeshView (RRID:SCR_017222) Copy   

•   Source: SciCrunch Registry

https://dandiarchive.org

Free, cloud-based platform for publishing, sharing, and processing standardized neurophysiology data, primarily using the Neurodata Without Borders (NWB) format. Supported by the BRAIN Initiative, it enables researchers to collaborate, reuse datasets, and adhere to FAIR data principles.

Proper citation: Distributed Archives for Neurophysiology Data Integration (RRID:SCR_017571) Copy   

•   Source: SciCrunch Registry

https://github.com/chrisgorgo/alleninf

Software package to test hypotheses about relation of patterns found in statistical maps with gene expression measured in postmortem brains. Refines corregistration coordinates provided by the Allen Institute.Used to compare statistical map of brain with gene expression patterns from Allen Human Brain Atlas.

Proper citation: Alleninf (RRID:SCR_023837) Copy   

•   Source: SciCrunch Registry

https://github.com/cortex-lab/allenCCF

Software tools to work with Allen Inst CCF data in Matlab. MATLAB code to work with the Allen Mouse Brain CCF data.

Proper citation: allenCCF (RRID:SCR_023830) Copy   

•   Source: SciCrunch Registry

https://github.com/brainglobe/morphapi

Software Python package for downloading neurons morphological reconstructions from publicly available datasets. With the provided APIs, the user can download data of selected neurons and functionality to create 3d meshes with the neuronal reconstruction for visualization.

Proper citation: MorphAPI (RRID:SCR_023851) Copy   

•   Source: SciCrunch Registry

https://github.com/BlueBrain/atlas-splitter

Software tools to split brain atlas regions and refine annotations accordingly. Applicable to the Allen Mouse Brain Atlas

Proper citation: Atlas Splitter (RRID:SCR_023842) Copy   

•   Source: SciCrunch Registry

https://github.com/BlueBrain/atlas-direction-vectors

Software tools to compute direction vectors in context of brain atlases.

Proper citation: Atlas Direction Vectors (RRID:SCR_023841) Copy   

•   Source: SciCrunch Registry