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SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
https://cloudreg.neurodata.io/
Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration.
Proper citation: CloudReg (RRID:SCR_022795) Copy
https://github.com/lambdaloop/anipose
Software package for 3D pose estimation. Uses DeepLabCut for 2D tracking and uses triangulation methods to project pose estimations into three dimensions.Toolkit for robust markerless 3D pose estimation.
Proper citation: Anipose (RRID:SCR_023041) Copy
http://www.nitrc.org/projects/ibsr
Data set of manually-guided expert segmentation results along with magnetic resonance brain image data. Its purpose is to encourage the development and evaluation of segmentation methods by providing raw test and image data, human expert segmentation results, and methods for comparing segmentation results. Please see the MediaWiki for more information. This repository is meant to contain standard test image data sets which will permit a standardized mechanism for evaluation of the sensitivity of a given analysis method to signal to noise ratio, contrast to noise ratio, shape complexity, degree of partial volume effect, etc. This capability is felt to be essential to further development in the field since many published algorithms tend to only operate successfully under a narrow range of conditions which may not extend to those experienced under the typical clinical imaging setting. This repository is also meant to describe and discuss methods for the comparison of results.
Proper citation: Internet Brain Segmentation Repository (RRID:SCR_001994) Copy
https://datascience.uth.edu/medcis
NIH funded center to provide system for sharing multimodal epilepsy data for Sudden Unexpected Death in Epilepsy. Modality Epilepsy Data Capture and Integration System (MEDCIS) is cross cohort query interface for SUDEP (Sudden Unexpected Death in EPilepsy) research.
Proper citation: University of Texas Health Science at Houston Center for SUDEP Research (RRID:SCR_024700) Copy
http://www.stanford.edu/group/exonarray/cgi-bin/plot_selector.pl
Transcriptome database of acutely isolated purified astrocytes, neurons, and oligodendrocytes. Provides improved cell-type-specific markers for better understanding of neural development, function, and disease.
Proper citation: Exon Array Browser (RRID:SCR_008712) Copy
https://brainlife.io/docs/using_ezBIDS/
Web-based BIDS conversion tool to convert neuroimaging data and associated metadata to BIDS standard. Guided standardization of neuroimaging data interoperable with major data archives and platforms.
Proper citation: ezBIDS (RRID:SCR_025563) Copy
https://painseq.shinyapps.io/harmonized_painseq_v1/
Harmonized cell atlases using sc/snRNA-seq data obtained from dorsal root ganglia and trigeminal ganglio mammalian datasets.
Proper citation: Harmonized DRG and TG Reference Atlas (RRID:SCR_025720) Copy
https://kimlab.io/brain-map/DevATLAS/
Whole brain developmental map of neuronal circuit maturation. Generated by whole brain spatiotemporal mapping of circuit maturation during early postnatal development. Standard reference for normative developmental trajectory of neuronal circuit maturation, as well as high throughput platform to pinpoint when and where circuit maturation is disrupted in mouse models of neurodevelopmental disorders, such as fragile X syndrome.
Proper citation: DevATLAS (RRID:SCR_025718) Copy
https://cran.r-project.org/web/packages/MetaCycle/vignettes/implementation.html
Software R package for detecting rhythmic signals from large scale time-series data. Used to evaluate periodicity in large scale data.
Proper citation: MetaCycle (RRID:SCR_025729) Copy
Portal provides information about nationwide study of more than 50,000 individuals to determine factors that predict disease severity and long-term health impacts of COVID-19.
Proper citation: Collaborative Cohort of Cohorts for COVID-19 Research (RRID:SCR_026322) Copy
https://kimlab.io/brain-map/epDevAtlas/
Suite of open access resources including 3D atlases of early postnatally developing mouse brain and mapped cell type density growth charts, which can be used as standalone resources or to implement data integration. Web platform can be utilized to analyze and visualize the spatiotemporal growth of GABAergic, microglial, and cortical layer-specific cell type densities in 3D. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system with an isotropic resolution of 20 μm (XYZ in coronal plane). Average transformations were conducted at 20 μm voxel resolution by interpolating high resolution serial two photon tomography images from primarily Vip-IRES-Cre;Ai14 mice at postnatal (P) ages P4, P6, P8, P10, P12, and P14. For all ages, anatomical labels from the P56 Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) were iteratively down registered to each early postnatal time point in a non-linear manner, aided by manual parcellations of landmarks in 3D, consistent with the Allen Mouse Reference Atlas Ontology.
Proper citation: Early Postnatal Developmental Mouse Brain Atlas (RRID:SCR_024725) Copy
https://github.com/mcelotto/Feature_Info_Transfer
Software application as MATLAB scripts to compute measures of Feature-specific Information Transfer (FIT) and conditional FIT (cFIT). FIT quantifies direction and magnitude of information flow about specific feature S (such as feature of sensory stimulus) between simultaneously recorded brain regions X and Y. cFIT quantifies amount of directed feature information transmitted between regions X and Y that cannot be potentially routed through region Z.
Proper citation: Feature-specific Information Transfer scripts (RRID:SCR_024772) Copy
https://medinform.jmir.org/2015/4/e35
Algorithm for generating unique study identifiers in distributed and validatable fashion, in multicenter research. Light-weight, block chain style resource identifier generation for tracking resource linkage, provenance, utilization, and visualization. NHash has unique set of properties: (1) it is a pseudonym serving the purpose of linking research data about study participant for research purposes; (2) it can be generated automatically in completely distributed fashion with virtually no risk for identifier collision; (3) it incorporates set of cryptographic hash functions based on N-grams, with combination of additional encryption techniques such as shift cipher; (d) it is validatable (error tolerant) in the sense that inadvertent edit errors will mostly result in invalid identifiers.
Proper citation: NHash Identifier (RRID:SCR_025313) Copy
https://github.com/felixfiederling/SpinalJ/blob/main/SpineRack.stl
Software tool extension to ImageJ for spinal cord. Used for efficient preparation and imaging of whole spinal cord and the absence of 3D reference atlas.
Proper citation: SpinalJ (RRID:SCR_025437) Copy
https://kimlab.io/brain-map/DevCCF/
Open access multimodal 3D atlases of developing mouse brain that can be used to integrate mouse brain imaging data for visualization, education, cell census mapping, and more. Atlas ages include E11.5, E13.5, E15.5, E18.5, P4, P14, and P56. Web platform can be utilized to visualize and explore the atlas in 3D. Downloadable atlas can be used to align multimodal mouse brain data. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system. Anatomical labels are manually drawn in 3D based on the prosomeric model. For additional references, the P56 template includes templates and annotations from the aligned Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) and aligned Molecular Atlas of the Adult Mouse Brain.
Proper citation: 3D Developmental Mouse Brain Common Coordinate Framework (RRID:SCR_025544) Copy
https://github.com/tomcatsmith19/ArucoDetection
Automated rodent behavioral scoring system, complete with 3D design files and code/software. System monitors behavioral engagement using open-source software. 3D design files and necessary software has been made available, as well as code that can be used for data analysis.
Proper citation: ArUco (RRID:SCR_026572) Copy
https://github.com/Washington-University/HCPpipelines
Software package as set of tools, primarily shell scripts, for processing multi-modal, high-quality MRI images for the Human Connectome Project. Minimal preprocessing pipelines for structural, functional, and diffusion MRI that were developed by the HCP to accomplish many low level tasks, including spatial artifact/distortion removal, surface generation, cross-modal registration, and alignment to standard space.
Proper citation: HCP Pipelines (RRID:SCR_026575) Copy
https://endomap.hms.harvard.edu/
Structural interactome viewer. Interactive database of endosomal protein-protein interactions identified by cross-linking mass spectrometry and modeled by AlphaFold multimer. Structural protein interactome of human early endosomes.
Proper citation: EndoMap (RRID:SCR_026690) Copy
http://dx.doi.org/10.5281/zenodo.21157
A graphical source code file used for an automated motion detection and reward system for animal training (see comment for full paper title). It was designed on the LabVIEW programming system. Running the program requires the appropriate LabVIEW runtime software from National Instruments Corporation.
Proper citation: Monkey Motion (RRID:SCR_014285) Copy
https://www.ohsu.edu/custom/library/digital-collections/projectionmap
Data set of thalamo-centric mesoscopic projection maps to the cortex and striatum. The maps are established through two-color, viral (rAAV)-based tracing images and high throughout imaging.
Proper citation: Mouse Thalamic Projectome Dataset (RRID:SCR_015702) Copy
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