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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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IRIS DMC FDSNWS station Web Service Resource Report Resource Website |
IRIS DMC FDSNWS station Web Service (RRID:SCR_006177) | FDSNWS Station, fdsnws-station, FDSNWS: station | software resource, data access protocol, web service | Web service that returns International Federation of Digital Seismograph Networks (FDSN) station metadata in FDSN StationXML format or as delimited text. Results are available at multiple levels of granularity: network, station, channel and response. Metadata may be selected based on channel descriptors, time ranges, geographic regions, and more. This service is an implementation of the FDSN web service specification version 1. | seismology, fdnws, station, metadata, time series, seed, wadl |
is listed by: CINERGI has parent organization: IRIS DMC Web Services |
SciRes_000179 | SCR_006177 | International Federation of Digital Seismograph Networks Web Service Station, IRIS FDSNWS Station, FDSNWS Station Web service, International Federation of Digital Seismograph Networks (FDSN) Web Service Station | 2026-08-12 10:49:22 | 0 | ||||||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | material storage repository, research forum portal, portal, service resource, data or information resource, disease-related portal, topical portal, storage service resource, biospecimen repository | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | Deciphering Developmental Disorders (DDD) | 2026-08-12 10:49:20 | 42 | |||||
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crowdLabs Resource Report Resource Website 1+ mentions |
crowdLabs (RRID:SCR_006294) | crowdLabs | portal, service resource, production service resource, data or information resource, community building portal, analysis service resource, storage service resource, data analysis service | A social visualization repository for the scientific workflow management system VisTrails providing a platform for sharing and executing computational tasks. It adopts the model used by social Web sites and that integrates a set of usable tools and a scalable infrastructure to provide an environment for scientists to collaboratively analyze and visualize data. crowdLabs aims to foster collaboration but was specifically designed to support the needs of computational scientists, including the ability to access high-performance computers and manipulate large volumes of data. By providing mechanisms that simplify the publishing and use of analysis pipelines, it allows IT personnel and end users to collaboratively construct and refine portals. This lowers the barriers for the use of scientific analyses and enables broader audiences to contribute insights to the scientific exploration process, without the high costs incurred by traditional portals. In addition, it supports a more dynamic environment where new exploratory analyses can be added on-the-fly. | platform, computation, data sharing |
is listed by: FORCE11 is related to: VisTrails |
NSF | nif-0000-06716 | http://www.force11.org/node/4666 | SCR_006294 | crowd Labs | 2026-08-12 10:49:23 | 1 | ||||||
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VizHub Resource Report Resource Website 1+ mentions |
VizHub (RRID:SCR_006209) | VizHub | portal, service resource, data or information resource, production service resource, analysis service resource, data analysis service | A visualization hub displaying sequencing data from the Roadmap Epigenomics project. It hosts high volume of tracks from ENCODE and Roadmap Epigenomics projects, supports multiple organisms, visualizes chromatin-interaction data (e.g. Hi-C), performs gene set view, gene plot, and many others. All delivered on the web at high performance. | epigenomics, neandertal, genome, visualization, browser, sequencing |
uses: UCSC Genome Browser uses: Roadmap Epigenomics Project uses: ENCODE is related to: WashU Epigenome Browser has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Roadmap Epigenomics Project |
nlx_151756 | SCR_006209 | Roadmap Epigenomics Visualization Hub, Visualization Hub | 2026-08-12 10:49:22 | 6 | ||||||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | data processing software, software application, software resource, source code | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | PHYLogeny Inference Package | 2026-08-12 10:49:22 | 3544 | |||||
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Human Imaging Database Resource Report Resource Website 1+ mentions |
Human Imaging Database (RRID:SCR_006126) | HID | service resource, data or information resource, data management software, image repository, database, storage service resource, software application, source code, data repository, software resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented October 5, 2017. Database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large. The HID can be extended to contain relevant information concerning experimental subjects, assessments of subjects, the experimental data collected, the experimental protocols, and other metadata normally included with experiments. |
imaging, fmri, clinical, behavior, biomedical imaging data, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Cognitive Paradigm Ontology is related to: XCEDE Schema has parent organization: Biomedical Informatics Research Network |
Schizophrenia | PMID:19826494 PMID:18348946 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00269 | http://www.nitrc.org/projects/hid | http://fbirnbdr.nbirn.net:8080/BDR/ | SCR_006126 | fBIRN Data Repository, Human Imaging Database (HID) System, Function BIRN Data Repository | 2026-08-12 10:49:20 | 3 | |||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | 2026-08-12 10:49:20 | 19 | |||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | service resource, production service resource, data or information resource, database, analysis service resource, data analysis service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-08-12 10:49:19 | 1 | ||||
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Proteome Commons Resource Report Resource Website 10+ mentions |
Proteome Commons (RRID:SCR_006234) | Proteome Commons | portal, service resource, data or information resource, database, software resource, data repository, community building portal, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication. | proteomics, protein, peptide, data sharing, data, tool, news, annotation, proteome, genome |
is listed by: re3data.org has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Proteome Commons Tranche repository |
NCI ; Clinical Proteomics Technologies for Cancer ; NCRR P41-RR018627 |
PMID:20356086 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151800 | SCR_006234 | ProteomeCommons.org, ProteomeCommons | 2026-08-12 10:49:22 | 12 | |||||
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XNAT Central Resource Report Resource Website 10+ mentions |
XNAT Central (RRID:SCR_006235) | XNAT Central | service resource, data or information resource, image repository, database, data repository, storage service resource | Online repository of open access images including MR Sessions, MRI, Freesurfer APARC, Freesurfer ASEGs, Clinical Assessments, Atlas Scaling Factors, and Fast Segmentations data. CENTRAL currently contains 374 Projects, 3808 Subjects, and 5174 Imaging Sessions (June 2014). Central is powered by XNAT (The Extensible Neuroimaging Archive Toolkit), an open source software platform designed to facilitate management and exploration of neuroimaging and related data. XNAT includes a secure database backend and a rich web-based user interface. | magnetic resonance, pet, computed tomography, neuroimaging, mri, computer axial tomography imaging protocol, freesurfer aparc, freesurfer aseg, clinical assessment, atlas scaling factor, fast segmentation, image collection, clinical |
is used by: NITRC-IR is used by: NIF Data Federation is used by: Integrated Datasets is listed by: re3data.org is related to: Morphometry BIRN is related to: XNAT - The Extensible Neuroimaging Archive Toolkit has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
Free, Freely available | nif-0000-04375, r3d100010874 | https://doi.org/10.17616/R3533H | SCR_006235 | Extensible Neuroimaging Archive Toolkit CENTRAL | 2026-08-12 10:49:22 | 48 | ||||||
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Predictive Networks Resource Report Resource Website |
Predictive Networks (RRID:SCR_006110) | PN | service resource, data or information resource, production service resource, database, source code, analysis service resource, software resource, data analysis service | A flexible, open-source, web-based application and data services framework that enables the integration, navigation, visualization and analysis of gene interaction networks. The primary goal of PN is to allow biomedical researchers to evaluate experimentally derived gene lists in the context of large-scale gene interaction networks. The PN analytical pipeline involves two key steps. The first is the collection of a comprehensive set of known gene interactions derived from a variety of publicly available sources. The second is to use these ''known'' interactions together with gene expression data to infer robust gene networks. The regression-based network inference algorithm creates a graph of gene interactions in which cycles may be present (but no self-loops). Based on information-theoretic techniques, a causal gene interaction network is inferred from both prior knowledge (interactions extracted from biomedical literature and structured biological databases) and gene expression data. A prediction model is fitted for each gene, given its parents, enabling assessment of the predictive ability of the network model. | gene interaction network, gene, interaction, gene expression, graph, visualization, gene interaction, gene network, predictive network analysis, model, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Dana-Farber Cancer Institute has parent organization: SourceForge |
NLM 1R01LM010129 | PMID:22096235 | Apache License, v2 | nlx_151582, biotools:predictivenetworks | https://bio.tools/predictivenetworks | SCR_006110 | 2026-08-12 10:49:20 | 0 | |||||
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PartiGene ARTHROPODA Database Resource Report Resource Website 1+ mentions |
PartiGene ARTHROPODA Database (RRID:SCR_006071) | ARTHROPODA PartiGene Databases | portal, organism-related portal, data or information resource, database, topical portal | As part of our effort in PhyloGenomics, we have developed the PartiGene ARTHROPODA Database. In these databases, we have analyzed the EST datasets for sixty different arthropod species. To aid searching we have split the interface between four class-based views: Chelicerata, Hexapoda, Crustacea, Myriapoda. Amongst other analyses, we have included Alfried Vogler's lab's PartiGene analysis of ~30 different arthropod species ESTs. A separate access point for that dataset is also available. | expressed sequence tag, cluster, arthropod | has parent organization: nematodes.org | nlx_151477 | SCR_006071 | 2026-08-12 10:49:19 | 1 | |||||||||
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Newtomics Resource Report Resource Website 1+ mentions |
Newtomics (RRID:SCR_006073) | Newt-Omics | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | Newt-omics is a database, which enables researchers to locate, retrieve and store data sets dedicated to the molecular characterization of newts. Newt-omics is a transcript-centered database, based on an Expressed Sequence Tag (EST) data set from the newt, covering ~50,000 Sanger sequenced transcripts and a set of high-density microarray data, generated from regenerating hearts. Newt-omics also contains a large set of peptides identified by mass spectrometry, which was used to validate 13,810 ESTs as true protein coding. Newt-omics is open to implement additional high-throughput data sets without changing the database structure. Via a user-friendly interface Newt-omics allows access to a huge set of molecular data without the need for prior bioinformatical expertise. The newt Notopthalmus viridescens is the master of regeneration. This organism is known for more than 200 years for its exceptional regenerative capabilities. Newts can completely replace lost appendages like limb and tail, lens and retina and parts of the central nervous system. Moreover, after cardiac injury newts can rebuild the functional myocardium with no scar formation. To date only very limited information from public databases is available. Newt-Omics aims to provide a comprehensive platform of expressed genes during tissue regeneration, including extensive annotations, expression data and experimentally verified peptide sequences with yet no homology to other publicly available gene sequences. The goal is to obtain a detailed understanding of the molecular processes underlying tissue regeneration in the newt, that may lead to the development of approaches, efficiently stimulating regenerative pathways in mammalians. * Number of contigs: 26594 * Number of est in contigs: 48537 * Number of transcripts with verified peptide: 5291 * Number of peptides: 15169 | gene expression, regeneration, annotation, expression data, peptide sequence, gene sequence, tissue regeneration, newt, pathway, mammal, blast, contigs, peptide, tissue, microarray, heart, lens, dorsal, ventral, transcript, functional annotation, molecular process, model organism, expressed sequence tag, sequence, mass spectrometry, protein, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Max Planck Institute for Heart and Lung Research; Bad Nauheim; Germany |
Hessian Ministry for Science and Art | PMID:22039101 | To be used only for research and educational purposes. Any reproduction or use for commercial purpose is prohibited without the prior express written permission of the MPI for heart and lung research. | nlx_151479, biotools:newt-omics | https://bio.tools/newt-omics | SCR_006073 | newt db, Newt database | 2026-08-12 10:49:20 | 1 | ||||
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NEMBASE Resource Report Resource Website 10+ mentions |
NEMBASE (RRID:SCR_006070) | NEMBASE | service resource, data or information resource, production service resource, database, analysis service resource, data analysis service | NEMBASE is a comprehensive Nematode Transcriptome Database including 63 nematode species, over 600,000 ESTs and over 250,000 proteins. Nematode parasites are of major importance in human health and agriculture, and free-living species deliver essential ecosystem services. The genomics revolution has resulted in the production of many datasets of expressed sequence tags (ESTs) from a phylogenetically wide range of nematode species, but these are not easily compared. NEMBASE4 presents a single portal into extensively functionally annotated, EST-derived transcriptomes from over 60 species of nematodes, including plant and animal parasites and free-living taxa. Using the PartiGene suite of tools, we have assembled the publicly available ESTs for each species into a high-quality set of putative transcripts. These transcripts have been translated to produce a protein sequence resource and each is annotated with functional information derived from comparison with well-studied nematode species such as Caenorhabditis elegans and other non-nematode resources. By cross-comparing the sequences within NEMBASE4, we have also generated a protein family assignment for each translation. The data are presented in an openly accessible, interactive database. An example of the utility of NEMBASE4 is that it can examine the uniqueness of the transcriptomes of major clades of parasitic nematodes, identifying lineage-restricted genes that may underpin particular parasitic phenotypes, possible viral pathogens of nematodes, and nematode-unique protein families that may be developed as drug targets. | nematode, transcriptome, expressed sequence tag, protein, cluster, library, sequence, peptide prediction, functional annotation, gene family, gene, annotation, pathway, genome, partigene, bio.tools |
is listed by: bio.tools is listed by: Debian has parent organization: nematodes.org |
Wellcome Trust ; Hospital for Sick Children ; BBSRC ; MRC ; NERC |
PMID:21550347 PMID:14681449 |
Public | nlx_151476, biotools:nembase4 | https://bio.tools/nembase4 | SCR_006070 | NEMBASE4, NEMBASE4 - Nematode Transcriptome Analyses | 2026-08-12 10:49:20 | 25 | ||||
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NHMRC Australian PhenomeBank Resource Report Resource Website 1+ mentions |
NHMRC Australian PhenomeBank (RRID:SCR_006149) | APB | biomaterial supply resource, cell repository, organism supplier, material resource | The NHMRC Australian PhenomeBank (APB) is a non-profit repository of mouse strains used in Medical Research. The database allows you to search for murine strains, housed or archived in Australia, carrying mutations in particular genes, strains with transgenic alterations and for mice with particular phenotypes. 1876 publicly available strains, 922 genes, 439 transgenes The APB has two roles: Provide and maintain a central database of genetically modified mice held in Australia either live or as cryopreserved material; Establish and maintain a mouse strain archive. Strains are archived as cryopreserved sperm or embryos. | RIN, Resource Information Network, murine, mutation, gene, strain, transgenic, alteration, phenotype, live mouse, sperm, embryo, transgene, database, allele, chromosome, RRID Community Authority |
is listed by: One Mind Biospecimen Bank Listing is listed by: Resource Information Network has parent organization: Australian Phenomics Network works with: International Mouse Strain Resource |
Public | nlx_151640 | http://pb.apf.edu.au/phenbank/foreignPageImport.html?page=http://pbstatic.apf.edu.au:80/phenbank/home.htm | SCR_006149 | Australian Phenome Bank, Phenome Bank, Australian PhenomeBank, NHMRC Australian Phenome Bank, PhenomeBank | 2026-08-12 10:49:22 | 3 | ||||||
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NEuronMOrphological analysis tool Resource Report Resource Website 1+ mentions |
NEuronMOrphological analysis tool (RRID:SCR_006304) | NEMO | image analysis software, image processing software, software application, data processing software, software resource | Software to handle and process large numbers of optical microscopy image files of neurons in culture or slices in order to automatically run batch routines, store data and apply multivariate classification and feature extraction using 3-way principal component analysis (PCA). This freeware for semi automated quantitative and dynamic analysis of neuron morphometry incorporates the most important microstructural quantification methods, such as fractal and sholl analysis with statistical and classification tools to provide an integrated image processing environment which enables fast and easy feature identification. It includes: * Friendly interactive graphical user interface * Image pre-processing * Morphological analysis * Topological analysis * Cell counting * 3-way PCA analysis (also available as an ImageJ plugin) * Plot of variables Sequential images of labeled or unlabelled neurons or tissue slices can be uploaded batch-wise in order to create a 3 axis (time, image coordinate) data base and a datamatrix of variables for 3-way Principal Component Analysis*. | morphometric analysis, neuron, morphology, principal component analysis, image pre-processing, neuron reconstruction, morphological analysis, neuron counting, neuron morphology, image processing, morphometrics, 3-way principal component analysis, topological analysis | has parent organization: University of Pisa; Pisa; Italy | Open-source | nlx_151981 | SCR_006304 | NEuronMOrphological analysis tool NEMO, NEMO (NEuron MOrphological analysis tool) | 2026-08-12 10:49:24 | 5 | |||||||
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Computerized Anatomical Reconstruction and Editing Toolkit Resource Report Resource Website 50+ mentions |
Computerized Anatomical Reconstruction and Editing Toolkit (RRID:SCR_006260) | CARET | data visualization software, image processing software, software application, data processing software, software resource | Software package to visualize and analyze structural and functional characteristics of cerebral and cerebellar cortex in humans, nonhuman primates, and rodents. Runs on Apple (Mac OSX), Linux, and Microsoft Windows operating systems. | reconstruction, visualization, cerebral cortex, surface, brain, dataset, cerebellar cortex, atlas application, mesh generation, quantitative shape analysis, segmentation, shape analysis, intersubject, image-to-template, gaussian curvature, mean curvature, animation, three dimensional display, two dimensional display, surface rendering, cortical flat map, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Debian is related to: SumsDB has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIMH R01 MH60974; NEI EY02091 |
PMID:11522765 | Free, Available for download, Freely available | nif-0000-00279 | http://www.nitrc.org/projects/caret, https://sources.debian.org/src/caret/ | SCR_006260 | Computerized Anatomical Reconstruction Editing Toolkit | 2026-08-12 10:49:23 | 59 | ||||
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TED-Ed Resource Report Resource Website 1+ mentions |
TED-Ed (RRID:SCR_006138) | TED-Ed, TED Ed | training material, video resource, narrative resource, data or information resource | Video library of curated educational videos, many of which represent collaborations between talented educators and animators nominated through the TED-Ed platform. This platform also allows users to take any useful educational video, not just TED''s, and easily create a customized lesson around the video. Users can distribute the lessons, publicly or privately, and track their impact on the world, a class, or an individual student. TED-Ed''s videos aim to capture and amplify the voices of the world''s greatest educators. | education, educator, student, lesson, think, learn, social studies, psychology, philosophy, religion, mathematics, literature, language, health, design, engineering, technology, business, economics, art | has parent organization: TED | The community can contribute to this resource | nlx_151629 | SCR_006138 | TED Ed - Lessons Worth Sharing, TED-Ed: Lessons Worth Sharing | 2026-08-12 10:49:20 | 1 | |||||||
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BrainImage Software Resource Report Resource Website 1+ mentions |
BrainImage Software (RRID:SCR_006139) | BrainImage | image analysis software, image processing software, software application, data processing software, software resource | A multiplatform, highly modular image processing and visualization application which is under development by the Center for Interdisciplinary Brain Sciences Research. The goal of this project is provide a framework application for neuroimaging which facilitates the interchange of software tools developed by researchers. BrainImageJava can: * Delineate ROIs in slices along X, Y, or Z axes, with 3D feedback in the other axes. * Create and display triangular mesh surfaces from MRI volumes. * Draw Surfaces-of-Interest (SOIs) in 3D, and edit them in a planar display. * Set Talairach grid on a volume, export an AC/PC stack, and measure the values within each grid unit. This 3D image processing and analysis program for the Apple Macintosh PowerPC is based on the public domain application, NIH Image. It includes interactive procedures for 3D MRI quantification including semi-automated procedures for removing non-brain tissues from images, fuzzy segmentation of tissue compartments, global or local parcellation (based on the Talairach atlas), region-growing, etc. The last version of the software included multiplatform capability, volume visualization and advanced image analysis tools. | mri, segmentation, visualization, volume, neuroimaging, analyze, anatomic, application, artifact removal, image display, java, labeling, macos, mesh generation, microsoft, modeling, magnetic resonance, quantification, region of interest, rendering, spatial transformation, three dimensional display, volume measurement, volumetric analysis, volumetric analysis, windows, platform |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is related to: NIH Image has parent organization: Stanford University School of Medicine; California; USA |
Human Brain Project | GNU General Public License | nif-0000-00272 | http://spnl.stanford.edu/tools/brainimage.htm | SCR_006139 | Brain Image, BrainImageJ, BrainImageJava | 2026-08-12 10:49:20 | 8 | |||||
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Guppy Project Resource Report Resource Website 1+ mentions |
Guppy Project (RRID:SCR_006255) | Guppy Project | video resource, portal, organism-related portal, data or information resource, topical portal | A project that observes the processes of adaptive evolution in nature, and tests evolutionary hypotheses, by studying populations of guppies on the Caribbean island of Trinidad. Darwin thought that evolution by natural selection occurred very slowly, over hundreds if not thousands of years. Evolutionary biologists now know that evolutionary changes in species can happen very quickly, over a relatively few generations. The National Science Foundation (NSF), through its Integrative Biological Research (FIBR) program, is funding a 5-year study by 13 biologists from colleges, universities, and research institutions throughout the United States and Canada, to study the relationship of adaptive evolution and environmental circumstances. The Trinidadian guppy (Poecilia reticulata) is an excellent species for these purposes because: * It matures rapidly (one generation = 3-4 months) * It inhabits different ecological environments that can be easily manipulated On Trinidad, guppies live in streams, or portions of streams, that can differ in the species of predators that the guppies have to contend with. Some streams are high-predation environments, others low-predation. Different predation environments are often right next to one another, separated by a waterfall (which neither guppies nor predators can cross). Guppies from high-predation environments experience much higher mortality rates than do guppies in low-predation environments. High mortality is associated with the following characteristics, all of which have a genetic basis: * Earlier maturity * Greater investment of resources in reproduction * More and smaller offspring. We have found that mortality rates can be manipulated by: * Transplanting guppies from high-predation localities into sites from which they and their predators had previously been excluded by natural waterfalls, thus lowering mortality rates; * Introducing predators into low-predation sites, thus increasing mortality rates. Such experiments have shown that species evolve as predicted by theory. We have also found that evolution by natural selection can be remarkably fast, on the order of four to seven orders of magnitude faster than had been inferred from the fossil record. | adaption, evolution, adaptive evolution, environment, trinidadian guppy, poecilia reticulata, image, natural selection | has parent organization: University of California at Riverside; California; USA | NSF | nlx_151840 | SCR_006255 | 2026-08-12 10:49:23 | 6 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the RRID Resources search. From here you can search through a compilation of resources used by RRID and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that RRID has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on RRID then you can log in from here to get additional features in RRID such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into RRID you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
