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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Virtual Genetics Education Centre Resource Report Resource Website |
Virtual Genetics Education Centre (RRID:SCR_001958) | VGEC | data or information resource, training material, narrative resource | Hub of evaluated genetics-related teaching resources for teachers and learners in schools and higher education, health professionals and the general public. Suggest or submit a learning resource to the VGEC. Resources include: * simple experiments suitable for all ages * tutorial material * videos on useful techniques * current and relevant links to other evaluated resources The Virtual Genetics Education Centre (VGEC) * Provides information and genetics education resources for higher education, colleges, schools, health professionals and the general public. * Encourages collaboration in the development, evaluation and sharing of genetics education resources * provides links to, and evaluates, sources of information and educational material about genetics. * Explores innovative approaches to teaching and learning in genetics, such as the SWIFT project for example where Second Life is being used to teach some aspects of genetics in a virtual laboratory. | education, genetics, development, teaching, dna, experiment, college student, child, adult, health professional, adolescent, k-12, gene, chromosome, video, evaluation, sharing, learning | has parent organization: University of Leicester; Leicester; United Kingdom | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10529 | SCR_001958 | Virtual Genetics Education Center, GENIE VGEC | 2026-08-10 09:31:34 | 0 | |||||||
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University of Leeds - Computational Biology Group Resource Report Resource Website |
University of Leeds - Computational Biology Group (RRID:SCR_001956) | data or information resource, topical portal, portal | The University of Leeds Computational Biology Group is an interdisciplinary research group based in the Faculty of Biological Sciences, and is part of the Centre for Nonlinear Studies. Research interests are at the interfaces of nonlinear dynamics, computational science and general physiology of excitable tissue (nervous system, cardiac and uterine muscle). A central theme is the reconstruction of tissue and organ physiology and pathologies from networks of intracellular, membrane and cellular models. Sponsors: | biological science, cardiac muscle, cellular model, computational biology, intracellular model, membrane model, nervous system, nonliear study, organ, pathology, physiology, tissue, uterine muscle | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10528 | http://www.cbiol.leeds.ac.uk/ | SCR_001956 | Leeds CBiol | 2026-08-10 09:31:35 | 0 | ||||||||
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Neisseria meningitidis MC58 Genome Page Resource Report Resource Website 1+ mentions |
Neisseria meningitidis MC58 Genome Page (RRID:SCR_002200) | data or information resource, topical portal, portal, database | Portal contains detailed information for Neisseria meningitidis MC58. Information include DNA molecule summary, primary annotation summary, and taxonomy. It is a tool that allows the researcher to access all of the bacterial genome sequences completed to date. Users may access information on all of the bacterial genomes or any subset of them. Information in the website about its DNA molecule includes: total number of DNA molecules, total size of all DNA molecules, number of primary annotation coding bases, and number of G + C bases. Its primary annotation summary include: total genes, protein coding genes, tRNA genes, and rRNA genes. Sponsors: The CMR was previously funded by two grants, one from the U.S. Department of Energy (DOE) and one from the National Science Foundation (NSF). It is currently partially funded by a Microbial Sequence Center (MSC) grant from the National Institute of Allergy and Infectious Diseases (NIAID) | gene, annotation, bacterial, coding, dna, genome, mc58, molecule, neisseria meningitidis, protein, rrna, taxonomy, trna | Free, Freely available | nif-0000-20964 | http://cmr.jcvi.org/tigr-scripts/CMR/GenomePage.cgi?database=gnm | SCR_002200 | NMMGP | 2026-08-10 09:31:39 | 1 | ||||||||
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NextGen Sequence Databases Resource Report Resource Website 100+ mentions |
NextGen Sequence Databases (RRID:SCR_002152) | data or information resource, topical portal, portal | Informational portal that aggregates information about databases for next gen sequencing. | next gen sequencing, data aggregation website | has parent organization: Donald Danforth Plant Science Center Labs and Facilities | PMID:16381968 | Freely available | nif-0000-20944 | http://mpss.dbi.udel.edu/ | SCR_002152 | NextGen | 2026-08-10 09:31:38 | 318 | ||||||
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Organization for Human Brain Mapping Resource Report Resource Website 1+ mentions |
Organization for Human Brain Mapping (RRID:SCR_001978) | data or information resource, topical portal, portal, organization portal | International society dedicated to advancing understanding of anatomical and functional organization of human brain using neuroimaging. Primary function of society is to provide educational forums for exchange of up-to-the-minute and groundbreaking research across neuroimaging methods and applications. OHBM achieves this through its member led committees and Annual Meeting that is held in different locations throughout the world. | dti, eeg, fmri, functional, anatomical, brain, brain imaging, brain mapping, cognitive neuroscientists, human, imaging genetics, research, structural, structural mri, tractography, transcranial magnetic stimulation, neuroimaging, meg | nif-0000-10633 | SCR_001978 | OHBM | 2026-08-10 09:31:35 | 1 | ||||||||||
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Neuroscience Course - Atlas Images Resource Report Resource Website 1+ mentions |
Neuroscience Course - Atlas Images (RRID:SCR_002381) | data or information resource, training resource, portal | Online educational resource for human brain and spinal cord anatomy through images. Each image is annotated with major structures and coarse dissections. | anatomy atlas, brain dissection, spinal cord dissection | has parent organization: University of Arkansas; Arkansas; USA | Public, Unauthorized use is prohibited | nif-0000-00117 | SCR_002381 | Neuroscience Course Atlas Images | 2026-08-10 09:31:42 | 7 | ||||||||
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Quick-R Resource Report Resource Website 1+ mentions |
Quick-R (RRID:SCR_002417) | Quick-R | data or information resource, training material, book, narrative resource | Training material created for both current R users, and experienced users of other statistical packages (e.g., SAS, SPSS, Stata) who would like to transition to R to help you quickly access this language in your work. The book inspired by this site takes the material here and significantly expands upon it. | r, programming language, code | is listed by: OMICtools | Free, Available for download, Freely available | OMICS_01760 | SCR_002417 | Quick-R - accessing the power of R | 2026-08-10 09:31:43 | 5 | |||||||
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R Tutorial - An R Introduction to Statistics Resource Report Resource Website 10+ mentions |
R Tutorial - An R Introduction to Statistics (RRID:SCR_002394) | R Tutorial | data or information resource, training material, book, narrative resource | Couple of introductory tutorials on basic R concepts that provides an introduction to the R programming language, and illustrates its use by solving elementary statistics textbook exercises. Beyond the basics, they also cover topics of GPU computing in R. An R Tutorial eBook is also available. | r, statistics, gpu computing | is listed by: OMICtools | Free, Available for download, Freely available | OMICS_01762 | SCR_002394 | R Tutorial (An R Introduction to Statistics) | 2026-08-10 09:31:43 | 23 | |||||||
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MS lesion segmentation challenge 2008 Resource Report Resource Website 1+ mentions |
MS lesion segmentation challenge 2008 (RRID:SCR_002425) | MS Lesion Segmentation 08 | data or information resource, training material, data set, narrative resource | Training material for the MS lesion segmentation challenge 2008 to compare different algorithms to segment the MS lesions from brain MRI scans. Data used for the workshop is composed of 54 brain MRI images and represents a range of patients and pathology which was acquired from Children's Hospital Boston and University of North Carolian. Data has initially been randomized into three groups: 20 training MRI images, 24 testing images for the qualifying and 8 for the onsite contest at the 2008 workshop. The downloadable online database consists now of the training images (including reference segmentations) and all the 32 combined testing images (without segmentations). The naming has not been changed in comparison to the workshop compeition in order to allow easy comparison between the workshop papers and the online database papers. One dataset has been removed (UNC_test1_Case02) due to considerable motion present only in its T2 image (without motion artifacts in T1 and FLAIR). Such a dataset unfairly penalizes methods that use T2 images versus methods that don't use the T2 image. Currently all cases have been segmented by expert raters at each institution. They have significant intersite variablility in segmentation. MS lesion MRI image data for this competition was acquired seperately by Children's Hospital Boston and University of North Carolina. UNC cases were acquired on Siemens 3T Allegra MRI scanner with slice thickness of 1mm and in-plane resolution of 0.5mm. To ease the segmentation process all data has been rigidly registered to a common reference frame and resliced to isotrophic voxel spacing using b-spline based interpolation. Pre-processed data is stored in NRRD format containing an ASCII readable header and a separate uncompressed raw image data file. This format is ITK compatible. If you want to join the competition, you can download data set from links here, and submit your segmentation results at http://www.ia.unc.edu/MSseg after registering your team. They require team name, password, and email address for future contact. Once experiment is completed, you can submit the segmentation data in a zip file format. Please refer submission page for uploading data format. | magnetic resonance, competition, challenge, segmentation, segment, ms lesion, brain, mri scan, mri, image collection |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Multiple Sclerosis | NIH Roadmap for Medical Research ; NIBIB U54 EB005149-01 |
Free, Available for download, Freely available | nlx_155799 | SCR_002425 | 2008 MICCAI MS Lesion Segmentation Challenge | 2026-08-10 09:31:43 | 1 | |||||
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Public Health Image Library Resource Report Resource Website 100+ mentions |
Public Health Image Library (RRID:SCR_002463) | PHIL | data or information resource, database, image collection | Database of CDC's pictures organized into hierarchical categories of people, places, and science, presented as single images, image sets, and multimedia files. Much of the information critical to the communication of public health messages is pictorial rather than text-based. Created by a Working Group at the Centers for Disease Control and Prevention (CDC), the PHIL offers an organized, universal electronic gateway to CDC's pictures. Public health professionals, the media, laboratory scientists, educators, students, and the worldwide public are welcome to use this material for reference, teaching, presentation, and public health messages. | illustration, multimedia, people, place, public health, electron micrograph, environmental health, bio-terrorism, health behavior, photograph, influenza, natural disaster, FASEB list |
is related to: MeSH has parent organization: Centers for Disease Control and Prevention |
Centers for Disease Control and Prevention | Free, Freely available | nif-0000-21325 | http://phil.cdc.gov/phil/default.asp | SCR_002463 | Public Health Image Library (PHIL) | 2026-08-10 09:31:44 | 109 | |||||
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Arvados Resource Report Resource Website 1+ mentions |
Arvados (RRID:SCR_002223) | arvados | service resource, storage service resource, data repository | Bioinformatics platform for storing, organizing, processing, and sharing genomic and other biomedical big data. Designed to make it easier for bioinformaticians to develop analyses, developers to create genomic web applications and IT administers to manage large-scale compute and storage genomic resources. Designed to run on top of cloud operating systems such as Amazon Web Services and OpenStack. Currently, there are implementations that work on AWS and Xen+Debian/Ubuntu. Functionally, Arvados has two major sets of capabilities: (a) data management and (b) compute management. | mapreduce/hadoop, genomic, biomedical, data sharing, compute, data management, cloud | is listed by: Debian | Free, Freely available | OMICS_01835 | https://sources.debian.org/src/arvados/ | SCR_002223 | 2026-08-10 09:31:40 | 3 | |||||||
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BioAfrica HIV Informatics in Africa Resource Report Resource Website 1+ mentions |
BioAfrica HIV Informatics in Africa (RRID:SCR_002295) | data or information resource, topical portal, portal | The BioAfrica HIV-1 Proteomics Resource is a website that contains detailed information about the HIV-1 proteome and protease cleavage sites, as well as data-mining tools that can be used to manipulate and query protein sequence data, a BLAST tool for initiating structural analyses of HIV-1 proteins, and a proteomics tools directory. HIV Proteomics Resource contains information about each HIV-1 gene product in regard to expression, post-transcriptional / post-translational modifications, localization, functional activities, and potential interactions with viral and host macromolecules. The Proteome section contains extensive data on each of 19 HIV-1 proteins, including their functional properties, a sample analysis of HIV-1HXB2, structural models and links to other online resources. The HIV-1 Protease Cleavage Sites section provides information on the position, subtype variation and genetic evolution of Gag, Gag-Pol and Nef cleavage sites. | expression, functional, gene, aids, cleavage, database, hiv, hiv/aids databases, interaction, localization, model, modification, post-transcriptional, post-translational, protease, protein, proteome, proteomic, publication, research, sequence, software, structural, journal article | has parent organization: University of KwaZulu-Natal; Durban; South Africa | nif-0000-21050 | SCR_002295 | HIV Informatics in Africa | 2026-08-10 09:31:41 | 5 | |||||||||
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Hardin MD Resource Report Resource Website |
Hardin MD (RRID:SCR_002364) | data or information resource, database, image collection | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2, 2025. A medical database with lists, or directories, of information in health and medicine and images of medical conditions. Users may search Hardin MD, browse through the Medical picture gallery, and sort search results by disease or alphabetical letter. | disease, health, medicine, database, directory, gallery, image collection | has parent organization: University of Iowa; Iowa; USA | AIDS, Autoimmune disease, Childrens disease, Herpes, Infectious disease, Skin disease, Sexually transmitted disease, Cancer, Heart disease | THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-21186, r3d100011208 | https://doi.org/10.17616/R3G62Z | http://www.lib.uiowa.edu/hardin/md/ | SCR_002364 | Hardin Meta Directory | 2026-08-10 09:31:42 | 0 | |||||
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MNI N3 Resource Report Resource Website 10+ mentions |
MNI N3 (RRID:SCR_002484) | N3 | software application, data processing software, image processing software, software resource | The perl script nu_correct implements a novel approach to correcting for intensity non-uniformity in MR data that achieves high performance without requiring supervision. By making relatively few assumptions about the data, the method can be applied at an early stage in an automated data analysis, before a tissue intensity or geometric model is available. Described as Non-parametric Non-uniform intensity Normalization (N3), the method is independent of pulse sequence and insensitive to pathological data that might otherwise violate model assumptions. To eliminate the dependence of the field estimate on anatomy, an iterative approach is employed to estimate both the multiplicative bias field and the distribution of the true tissue intensities. Preprocessing of MR data using N3 has been shown to substantially improve the accuracy of anatomical analysis techniques such as tissue classification and cortical surface extraction. | magnetic resonance, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: McConnell Brain Imaging Center |
Free, Available for download, Freely available | nlx_155878 | http://www.nitrc.org/projects/nu_correct | SCR_002484 | MNI N3 Software Package, MNI_N3, Non-parametric Non-uniform intensity Normalization, N3 - MINC B0 nonuniformity correction, MNI_N3 Software Package | 2026-08-10 09:31:44 | 11 | ||||||
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Histology of Nervous Tissue Laboratory Course Resource Report Resource Website |
Histology of Nervous Tissue Laboratory Course (RRID:SCR_002367) | Histology of Nervous Tissue | data or information resource, training material, narrative resource | A website for a neuroscience lab class from the University of South Carolina that contains images of different parts of the nervous system and allows students to identify each part and answer questions about it. You should be able to (a) recognize nervous tissue in routine histological sections; (b) distinguish peripheral nerves from dense CT and smooth muscle; (c) recognize the morphological differences between myelinated and unmyelinated nerves at both the light microscopic and electron microscopic levels; (d) recognize nerve cell bodies and their component parts; (e) identify and differentiate dendrites and axons; (f) understand and identify various types of neuroglia, including Schwann cells; (g) understand and identify the structural relationship of the Schwann cell cytoplasm and plasma membrane enveloping axons; (h) understand the general features of nerve synapses. You should be able to draw nerves, cell bodies, Nodes of Ranvier, synapses etc. as they would appear under both the electron and light microscopes. | brain, class, histology, laboratory, material, nervous system, neuron, microscopy, neuroscience, peripheral nerve, light microscopy, electron microscopy, nerve cell, neuroglia, nervous tissue, image, glass slide, slide | has parent organization: University of South Carolina School of Medicine; South Carolina; USA | nif-0000-21192 | SCR_002367 | Histology of Nervous Tissue Laboratories 9 and 10 | 2026-08-10 09:31:42 | 0 | ||||||||
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PHYCAA+: adaptive physiological noise correction for BOLD fMRI Resource Report Resource Website 1+ mentions |
PHYCAA+: adaptive physiological noise correction for BOLD fMRI (RRID:SCR_002514) | PHYCAA+ | software application, data processing software, image processing software, software resource | Software algorithm that automatically estimates and removes physiological noise in BOLD fMRI data, including the effects of heartbeat and respiration. This algorithm (1) masks out high-variance CSF and vascular tracts that may otherwise confound analyses, and (2) regresses out noise timeseries in grey matter tissue, using an adaptive multivariate component decomposition (Canonical Autocorrelations Analysis). PHYCAA+ is an efficient, automated procedure that does NOT require external measures of physiology, nor does it require the user to manually identify noise components. Based on the peer-reviewed article: Churchill & Strother (2013). PHYCAA+: An Optimized, Adaptive Procedure for Measuring and Controlling Physiological Noise in BOLD fMRI. NeuroImage 82: 306-325 | algorithm, matlab, magnetic resonance, nifti, os independent, fmri, bold, bold fmri, multivariate, physiological noise |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of Toronto; Ontario; Canada |
PMID:23727534 | GNU Lesser General Public License | nlx_155913 | SCR_002514 | 2026-08-10 09:31:44 | 7 | |||||||
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Resource Ontology Discussion Group Resource Report Resource Website |
Resource Ontology Discussion Group (RRID:SCR_002536) | Resource Ontology Discussion Group | data or information resource, knowledge environment, discussion, narrative resource | Project to discuss, debate, develop and deploy ontological practices for the fMRI community. | community, ontology, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Free, Available for download, Freely available | nlx_155943 | SCR_002536 | 2026-08-10 09:31:45 | 0 | ||||||||
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Rodent Brain Extraction Tool Resource Report Resource Website |
Rodent Brain Extraction Tool (RRID:SCR_002538) | rBET | software application, data processing software, image processing software, software resource | A modified version of the Brain Extraction Tool (BET) that can process rodent brains. | magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: FSL has parent organization: King's College London; London; United Kingdom |
Free, Available for download, Freely available | nlx_155945 | http://www.nitrc.org/projects/rbet | SCR_002538 | 2026-08-10 09:31:45 | 0 | |||||||
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ConTrack Resource Report Resource Website 10+ mentions |
ConTrack (RRID:SCR_002681) | ConTrack | software application, data processing software, image processing software, software resource | An algorithm for identifying pathways that are known to exist between two regions within DTI data of anisotropic tissue, e.g., muscle, brain, spinal cord. The ConTrack algorithms use knowledge of DTI scanning physics and apriori information about tissue architecture to identify the location of connections between two regions within the DTI data. Assuming a course of connection or pathway between these two regions is known to exist within the measured tissue, ConTrack can be used to estimate properties of these connections in-vivo. | diffusion tensor imaging, tractography, brain connectivity, mri, software, source code, pathway, fiber tractography, tissue analysis |
is listed by: Biositemaps has parent organization: Simtk.org |
NIH Roadmap for Medical Research ; NIGMS U54 GM072970; NEI EY015000 |
PMID:18831651 | Free, Available for download, Freely available | nif-0000-23303 | SCR_002681 | Connectivity Tracking, Connectivity Tracking (ConTrack) | 2026-08-10 09:31:47 | 13 | |||||
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ESTHER Resource Report Resource Website 100+ mentions |
ESTHER (RRID:SCR_002621) | ESTHER | data or information resource, database | Database and tools for analysis of protein and nucleic acid sequences belonging to superfamily of alpha/beta hydrolases homologous to cholinesterases. Covers multiple species, including human, mouse caenorhabditis and drosophila., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | alpha hydrolase, beta hydrolase, cholinesterase, protein, protein superfamily, blast, gene, protein binding, protein-protein interaction, nucleotide, nucleotide sequence, enzyme, genetics, genome, genomics, mutation, disease, gene expression, peptide, chromosome |
is listed by: re3data.org is related to: UniProtKB is related to: AceDB has parent organization: INRA - French National Institute for Agricultural Research; Paris; France |
PMID:23193256 | Free, Available for download, Freely available | nif-0000-30526, SCR_008479, nif-0000-02817, r3d100010542 | https://doi.org/10.17616/R33K77 | SCR_002621 | ESTerases and alpha/beta-Hydrolase Enzymes and Relatives, ESTHER Database, ESTerases and alpha / beta-hydrolase Enzymes and Relatives | 2026-08-10 09:31:46 | 134 |
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