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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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PIRSF Resource Report Resource Website 10+ mentions |
PIRSF (RRID:SCR_003352) | PIRSF | data or information resource, database, narrative resource, standard specification | A SuperFamily classification system, with rules for functional site and protein name, to facilitate the sensible propagation and standardization of protein annotation and the systematic detection of annotation errors. The PIRSF concept is being used as a guiding principle to provide comprehensive and non-overlapping clustering of UniProtKB sequences into a hierarchical order to reflect their evolutionary relationships. The PIRSF classification system is based on whole proteins rather than on the component domains; therefore, it allows annotation of generic biochemical and specific biological functions, as well as classification of proteins without well-defined domains. There are different PIRSF classification levels. The primary level is the homeomorphic family, whose members are both homologous (evolved from a common ancestor) and homeomorphic (sharing full-length sequence similarity and a common domain architecture). At a lower level are the subfamilies which are clusters representing functional specialization and/or domain architecture variation within the family. Above the homeomorphic level there may be parent superfamilies that connect distantly related families and orphan proteins based on common domains. Because proteins can belong to more than one domain superfamily, the PIRSF structure is formally a network. The FTP site provides free download for PIRSF. | protein annotation, classification, protein, superfamily, functional site, protein name, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: UniProtKB has parent organization: Protein Information Resource |
NHGRI U01-HG02712; NSF DBI-0138188; NSF ITR-0205470 |
PMID:19455212 PMID:14681371 |
Free, Freely available | biotools:pirsf, OMICS_01697, nif-0000-03294 | https://bio.tools/pirsf | http://pir.georgetown.edu/pirsf/ | SCR_003352 | PIR SuperFamily, Protein Information Resource SuperFamily | 2026-09-05 06:25:02 | 32 | |||
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MouseNET Resource Report Resource Website 1+ mentions |
MouseNET (RRID:SCR_003357) | mouseNet | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | A functional network for laboratory mouse based on integration of diverse genetic and genomic data. It allows the users to accurately predict novel functional assignments and network components. MouseNET uses a probabilistic Bayesian algorithm to identify genes that are most likely to be in the same pathway/functional neighborhood as your genes of interest. It then displays biological network for the resulting genes as a graph. The nodes in the graph are genes (clicking on each node will bring up SGD page for that gene) and edges are interactions (clicking on each edge will show evidence used to predict this interaction). Most likely, the first results to load on the results page will be a list of significant Gene Ontology terms. This list is calculated for the genes in the biological network created by the mouseNET algorithm. If a gene ontology term appears on this list with a low p-value, it is statistically significantly overrepresented in this biological network. The graph may be explored further. As you move the mouse over genes in the network, interactions involving these genes are highlighted.If you click on any of the highlighted interactions graph, evidence pop-up window will appear. The Evidence pop-up lists all evidence for this interaction, with links to the papers that produced this evidence - clicking these links will bring up the relevant source citation(s) in PubMed. | gene, network, mouse, protein function, visualization, open reading frame, graph |
is listed by: OMICtools is related to: Gene Ontology is related to: mouseMAP has parent organization: Princeton University; New Jersey; USA |
NSF DBI-0546275; NIGMS R01 GM071966; NSF IIS-0513552; NIGMS P50 GM071508 |
PMID:18818725 | Free, Freely available | OMICS_01550, nif-0000-32003 | SCR_003357 | MouseNET | 2026-09-05 06:25:02 | 3 | |||||
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Statistics Online Computational Resource Resource Report Resource Website 10+ mentions |
Statistics Online Computational Resource (RRID:SCR_003378) | SOCR | data or information resource, narrative resource, software application, software resource, software toolkit, training material | A hierarchy of portable online interactive aids for motivating, modernizing probability and statistics applications. The tools and resources include a repository of interactive applets, computational and graphing tools, instructional and course materials. The core SOCR educational and computational components include the following suite of web-based Java applets: * Distributions (interactive graphs and calculators) * Experiments (virtual computer-generated games and processes) * Analyses (collection of common web-accessible tools for statistical data analysis) * Games (interfaces and simulations to real-life processes) * Modeler (tools for distribution, polynomial and spectral model-fitting and simulation) * Graphs, Plots and Charts (comprehensive web-based tools for exploratory data analysis), * Additional Tools (other statistical tools and resources) * SOCR Java-based Statistical Computing Libraries * SOCR Wiki (collaborative Wiki resource) * Educational Materials and Hands-on Activities (varieties of SOCR educational materials), * SOCR Statistical Consulting In addition, SOCR provides a suite of tools for volume-based statistical mapping (http://wiki.stat.ucla.edu/socr/index.php/SOCR_EduMaterials_AnalysesCommandLine) via command-line execution and via the LONI Pipeline workflows (http://www.nitrc.org/projects/pipeline). Course instructors and teachers will find the SOCR class notes and interactive tools useful for student motivation, concept demonstrations and for enhancing their technology based pedagogical approaches to any study of variation and uncertainty. Students and trainees may find the SOCR class notes, analyses, computational and graphing tools extremely useful in their learning/practicing pursuits. Model developers, software programmers and other engineering, biomedical and applied researchers may find the light-weight plug-in oriented SOCR computational libraries and infrastructure useful in their algorithm designs and research efforts. The three types of SOCR resources are: * Interactive Java applets: these include a number of different applets, simulations, demonstrations, virtual experiments, tools for data visualization and analysis, etc. All applets require a Java-enabled browser (if you see a blank screen, see the SOCR Feedback to find out how to configure your browser). * Instructional Resources: these include data, electronic textbooks, tutorials, etc. * Learning Activities: these include various interactive hands-on activities. * SOCR Video Tutorials (including general and tool-specific screencasts). | probability, statistics, instruction, statistical computing, applet, computational tool, graphing tool, course material, computation, java, statistical mapping, graphing, computational neuroscience, java, loni pipeline, educator, student, tool developer |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps has parent organization: University of California at Los Angeles; California; USA |
NIH Roadmap for Medical Research ; NSF 0442992; NSF DUE 0716055; NSF 1023115; NCRR U54 RR021813 |
PMID:21451741 PMID:21297884 |
Free, Freely available | nif-0000-32655 | http://www.nitrc.org/projects/socr | SCR_003378 | 2026-09-05 06:25:02 | 13 | |||||
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Protege Resource Report Resource Website 100+ mentions |
Protege (RRID:SCR_003299) | Protege | authoring tool, software application, software resource | Protege is a free, open-source platform that provides a growing user community with a suite of tools to construct domain models and knowledge-based applications with ontologies. At its core, Protege implements a rich set of knowledge-modeling structures and actions that support the creation, visualization, and manipulation of ontologies in various representation formats. Protege can be customized to provide domain-friendly support for creating knowledge models and entering data. Further, Protege can be extended by way of a plug-in architecture and a Java-based Application Programming Interface (API) for building knowledge-based tools and applications. An ontology describes the concepts and relationships that are important in a particular domain, providing a vocabulary for that domain as well as a computerized specification of the meaning of terms used in the vocabulary. Ontologies range from taxonomies and classifications, database schemas, to fully axiomatized theories. In recent years, ontologies have been adopted in many business and scientific communities as a way to share, reuse and process domain knowledge. Ontologies are now central to many applications such as scientific knowledge portals, information management and integration systems, electronic commerce, and semantic web services. The Protege platform supports two main ways of modeling ontologies: * The Protege-Frames editor enables users to build and populate ontologies that are frame-based, in accordance with the Open Knowledge Base Connectivity protocol (OKBC). In this model, an ontology consists of a set of classes organized in a subsumption hierarchy to represent a domain's salient concepts, a set of slots associated to classes to describe their properties and relationships, and a set of instances of those classes - individual exemplars of the concepts that hold specific values for their properties. * The Protege-OWL editor enables users to build ontologies for the Semantic Web, in particular in the W3C's Web Ontology Language (OWL). An OWL ontology may include descriptions of classes, properties and their instances. Given such an ontology, the OWL formal semantics specifies how to derive its logical consequences, i.e. facts not literally present in the ontology, but entailed by the semantics. These entailments may be based on a single document or multiple distributed documents that have been combined using defined OWL mechanisms (see the OWL Web Ontology Language Guide). Protege is based on Java, is extensible, and provides a plug-and-play environment that makes it a flexible base for rapid prototyping and application development. | ontology, java, develop, manage, edit, plug-in, FASEB list |
is listed by: Biositemaps is related to: National Center for Biomedical Ontology is related to: Jambalaya has parent organization: Stanford University School of Medicine; California; USA has parent organization: Stanford Center for Biomedical Informatics Research |
Defense Advanced Research Projects Agency ; eBay ; NCI ; NIST - National Institute of Standards and Technology ; National Centers for Biomedical Computing ; NSF ; Neural ElectroMagnetic Ontologies NEMO ; Pfizer ; NLM LM007885 |
PMID:17687607 | Free, download Freely available | nif-0000-31708 | SCR_003299 | Protégé, Protege Project | 2026-09-05 06:25:01 | 165 | |||||
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Structural Biology Grid Resource Report Resource Website 50+ mentions |
Structural Biology Grid (RRID:SCR_003511) | SBGrid | computational hosting, data or information resource, data repository, data set, service resource, storage service resource | Computing resources structural biologists need to discover the shapes of the molecules of life, it provides access to web-enabled structural biology applications, data sharing facilities, biological data sets, and other resources valuable to the computational structural biology community. Consortium includes X-ray crystallography, NMR and electron microscopy laboratories worldwide.SBGrid Service Center is located at Harvard Medical School.SBGrid's NIH-compliant Service Center supports SBGrid operations and provides members with access to Software Maintenance, Computing Access, and Training. Consortium benefits include: * remote management of your customized collection of structural biology applications on Linux and Mac workstations; * access to commercial applications exclusively licensed to members of the Consortium, such as NMRPipe, Schrodinger Suite (limited tokens) and the Incentive version of Pymol; remote management of supporting scientific applications (e.g., bioinformatics, computational chemistry and utilities); * access to SBGrid seminars and events; and * advice about hardware configurations, operating system installations and high performance computing. Membership is restricted to academic/non-profit research laboratories that use X-ray crystallography, 2D crystallography, NMR, EM, tomography and other experimental structural biology technologies in their research. Most new members are fully integrated with SBGrid within 2 weeks of the initial application. | structure, x-ray crystallography, nuclear magnetic resonance, electron microscopy, structural biology, software application, computation, chemistry, meeting, software service, molecule, data sharing, biomedical |
is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases has parent organization: Harvard Medical School; Massachusetts; USA |
NSF | PMID:22514186 | Membership is restricted to academic/non-profit research laboratories that use X-ray crystallography, 2D crystallography, NMR, EM, Tomography and other experimental structural biology technologies in their research., The community can contribute to this resource | nif-0000-37641, r3d100010234 | https://doi.org/10.17616/R3NS3R | http://sbgrid.org/index.php | SCR_003511 | SBGrid Software Consortium, SBGrid Science Portal, SBGrid Consortium | 2026-09-05 06:25:05 | 60 | |||
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Incorporated Research Institutions for Seismology Resource Report Resource Website 500+ mentions |
Incorporated Research Institutions for Seismology (RRID:SCR_002201) | IRIS | consortium, data or information resource, institution, organization portal, portal | Passive and active source waveform data, event (earthquake) catalog, channel response data is available. This comprehensive data store of raw geophysical time-series data is collected from a large variety of sensors, courtesy of a vast array of US and International scientific networks, including seismometers (permanent and temporary), tilt and strain meters, infrasound, temperature, atmospheric pressure and gravimeters, to support basic research aimed at imaging the Earth's interior. IRIS also provides data and software for educational purposes. This consortium of over 100 US universities is dedicated to the operation of science facilities for the acquisition, management, and distribution of seismological data. IRIS programs contribute to scholarly research, education, earthquake hazard mitigation, and verification of the Comprehensive Nuclear-Test-Ban Treaty. Data is stored at the IRIS Data Management Center in Seattle, Washington. They currently manage a large archive from over tens of thousands of seismic stations and ship hundreds of terabytes of data yearly. | seismology, geophysics, earth science, earthquake, seismic, time series, metadata, channel response, waveform |
is listed by: CINERGI is listed by: DataCite is listed by: re3data.org is listed by: FAIRsharing is parent organization of: IRIS DMC Web Services |
NSF | Free, Freely available | nlx_154710, DOI:10.25504/FAIRsharing.x9rqf7, grid.300201.0, Wikidata: Q16074398, ISNI: 0000 0004 6078 0424, DOI:10.17616/R3X607, DOI:10.7914, DOI:10.17611 | https://ror.org/05xkn9s74, https://doi.org/10.17616/R3X607, https://doi.org/10.17616/r3X607, https://doi.org/10.7914/, https://doi.org/10.17611/, https://dx.doi.org/10.7914/, https://dx.doi.org/10.17611, https://fairsharing.org/10.25504/FAIRsharing.x9rqf7 | SCR_002201 | IRIS Consortium, Incorporated Research Institutions for Seismology | 2026-09-05 06:24:45 | 541 | |||||
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U.S. Antarctic Program Data Coordination Center Resource Report Resource Website 1+ mentions |
U.S. Antarctic Program Data Coordination Center (RRID:SCR_002221) | USAP-DCC | data or information resource, data repository, database, service resource, storage service resource | Assists scientists in finding Antarctic scientific data of interest and submitting data for long-term preservation in accordance with their obligations under the National Science Foundation (NSF) Office of Polar Programs (OPP) Data Policy. | antarctica, southern ocean, polar |
is listed by: CINERGI has parent organization: Marine Geoscience Data System |
NSF | Free, Freely available | r3d100010660, nlx_154744 | https://doi.org/10.17616/R31898 | http://www.usap-data.org/ | SCR_002221 | 2026-09-05 06:24:45 | 6 | |||||
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EarthChem Resource Report Resource Website 10+ mentions |
EarthChem (RRID:SCR_002207) | EarthChem | data or information resource, data repository, database, service resource, storage service resource | Accepts and makes available geochemical, geochronlogical, and petrological data (analytical and synthesis) through this community-driven effort to facilitate the preservation, discovery, access and visualization of data generated. * PetDB holds geochemical data from sub-oceanic igneous and metamorphic rocks generated at mid-ocean ridges including back-arc basins, young seamounts, and old oceanic crust. Data are compiled primarily from the published literature. * SedDB integrates marine and terrestrial sediment geochemical data compiled primarily from the published literature. * Deep Lithosphere Data Set contains geochemical and petrological data from lower crust and upper mantle xenoliths. (more info) * VentDB contains hydrothermal spring geochemistry that hosts and serves the full range of compositional data acquired on seafloor hydrothermal vents from all tectonic settings. * NAVDAT - The Western North American Volcanic and Intrusive Rock Database * Geochron is an application that helps with the onerous task of data management for geochronological and thermochronological studies. * EarthChemPortal is the one-stop-shop for geochemical data that gives users the ability to search federated databases PetDB, NAVDAT, and GEOROC simultaneously, integrated into a common output format. (more info) * The EarthChem Library is a repository for geochemical datasets (analytical data, experimental data, synthesis databases) and other digital resources relevant to the field of geochemistry, contributed by the geochemistry community. * SESAR - System for Earth SAmple Registration | geochemical, geochronological, petrological |
is listed by: CINERGI has parent organization: Columbia University; New York; USA is parent organization of: VentDB is parent organization of: PetDB is parent organization of: SedDB is parent organization of: System for Earth Sample Registration |
NSF | Free, Available for download, Freely available | nlx_154721, r3d100011538 | https://doi.org/10.17616/R3V644 | SCR_002207 | IEDA: EarthChem | 2026-09-05 06:24:45 | 30 | |||||
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MetPetDB Resource Report Resource Website 1+ mentions |
MetPetDB (RRID:SCR_002208) | MetPetDB | data or information resource, data repository, database, service resource, storage service resource | Database / data repository for metamorphic petrology that is being designed and built by a global community of metamorphic petrologists in collaboration with computer scientists at Rensselaer Polytechnic Institute as part of the National Cyberinfrastructure Initiative. | metamorphic, petrology, geology, geochemistry |
is listed by: CINERGI has parent organization: Rensselaer Polytechnic Institute; New York; USA |
NSF EAR 0949318 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154722, r3d100012514 | SCR_002208 | 2026-09-05 06:24:45 | 1 | |||||||
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Community Surface Dynamics Modeling System Resource Report Resource Website |
Community Surface Dynamics Modeling System (RRID:SCR_002196) | CSDMS | computational hosting, data or information resource, data repository, data set, service resource, software resource, storage service resource | Model repository and data related to earth-surface dynamics modeling. The CSDMS Modeling Tool (CMT) allows you to run and couple CSDMS model components on the CSDMS supercomputer in a user-friendly software environment. Components in the CMT are based on models, originally submitted to the CSDMS model repository, and now adapted to communicate with other models. The CMT tool is the environment in which you can link these components together to run new simulations. The CMT software runs on your own computer; but it communicates with the CSDMS HPCC, to perform the simulations. Thus, the CMT also offers you a relatively easy way of using the CSDMS supercomputer for model experiments. CSDMS deals with the Earth's surface - the ever-changing, dynamic interface between lithosphere, hydrosphere, cryosphere, and atmosphere. They are a diverse community of experts promoting the modeling of earth surface processes by developing, supporting, and disseminating integrated software modules that predict the movement of fluids, and the flux (production, erosion, transport, and deposition) of sediment and solutes in landscapes and their sedimentary basins. CSDMS: * Produces protocols for community-generated, continuously evolving, open software * Distributes software tools and models * Provides cyber-infrastructure to promote the quantitative modeling of earth surface processes * Addresses the challenging problems of surface-dynamic systems: self-organization, localization, thresholds, strong linkages, scale invariance, and interwoven biology & geochemistry * Enables the rapid development and application of linked dynamic models tailored to specific landscape basin evolution (LBE) problems at specific temporal and spatial scales * Partners with related computational and scientific programs to eliminate duplication of effort and to provide an intellectually stimulating environment * Supports a strong linkage between what is predicted by CSDMS codes and what is observed, both in nature and in physical experiments * Supports the imperatives in Earth Science research | model, earth, surface, surface dynamics |
is listed by: CINERGI has parent organization: University of Colorado Boulder; Colorado; USA |
NSF | PMID:17406970 | Free, Freely available | r3d100012544, nlx_154705 | https://doi.org/10.17616/R3051W | SCR_002196 | 2026-09-05 06:24:45 | 0 | |||||
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Neotoma Paleoecology Database Resource Report Resource Website 10+ mentions |
Neotoma Paleoecology Database (RRID:SCR_002190) | Neotoma | analysis service resource, data analysis service, data or information resource, data repository, database, production service resource, service resource, storage service resource | Paleoecology database for plio-pleistocene to holocene fossil data with a centralized structure for interdisciplinary, multiproxy analyses and common tool development; discipline-specific data can also be easily accessed. Data currently include North American Pollen (NAPD) and fossil mammals (FAUNMAP). Other proxies (plant macrofossils, beetles, ostracodes, diatoms, etc.) and geographic areas (Europe, Latin America, etc.) will be added in the near future. Data are derived from sites from the last 5 million years. | data sharing, paleoecology, plio-pleistocene, holocene, fossil |
is listed by: CINERGI has parent organization: Pennsylvania State University |
NSF | Free, Available for download, Freely available | nlx_154700, r3d100011761 | SCR_002190 | NeotomaDB, Neotoma DB | 2026-09-05 06:24:45 | 38 | ||||||
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VS-Lite Resource Report Resource Website 1+ mentions |
VS-Lite (RRID:SCR_002431) | VS-Lite | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 12,2023. A simple, efficient, process-based forward model of tree-ring growth, requires as inputs only latitude and monthly temperature and precipitation. | model, mathematical model, tree ring, dendrochronology, tree ring width, tree, ring, ring growth model |
is listed by: CINERGI has parent organization: World Data Center for Paleoclimatology |
NOAA ; NSF 0724802 |
THIS RESOURCE IS NO LONGER IN SERVICE. | SciRes_000128 | SCR_002431 | Vaganov-Shashkin-Lite, Vaganov-Shashkin-Lite Model of Tree-Ring Width | 2026-09-05 06:24:48 | 2 | ||||||
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GASV Resource Report Resource Website 1+ mentions |
GASV (RRID:SCR_000061) | GASV | data analysis software, data processing software, software application, software resource | Software tool for identifying structural variants (SVs) from paired-end sequencing data.GASV distribution includes three components that are typically run in succession: the BAM file of unique paired-read mappings is processed; structural variants are identified by clustering discordant fragments; and a probabilistic algorithm improves the specificity of GASV predictions. | paired-end sequencing data, structural variant, probabilistic algorithm, discordant fragment, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is related to: GASVPro has parent organization: Brown University; Rhode Island; USA |
ADVANCE Program at Brown University ; Burroughs Wellcome Fund ; Department of Defense Breast Cancer Research ; NSF 0548311 |
PMID:19477992 | Free, Available for download, Freely available | biotools:gasv, OMICS_01352 | http://compbio.cs.brown.edu/projects/gasv/, https://bio.tools/gasv | SCR_000061 | Geometric Analysis of Structural Variants | 2026-09-05 06:24:10 | 4 | ||||
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Yogo Data Management System Resource Report Resource Website |
Yogo Data Management System (RRID:SCR_004239) | software application, software resource, software toolkit, source code | A set of software tools created to rapidly build scientific data-management applications. These applications will enhance the process of data annotation, analysis, and web publication. The system provides a set of easy-to-use software tools for data sharing by the scientific community. It enables researchers to build their own custom-designed data management systems. The problem of scientific data management rests on several challenges. These include flexible data storage, a way to share the stored data, tools to curate the data, and history of the data to show provenance. The Yogo Framework gives you the ability to build scientific data management applications that address all of these challenges. The Yogo software is being developed as part of the NeuroSys project. All tools created as part of the Yogo Data Management Framework are open source and released under an OSI approved license. | has parent organization: Montana State University | The Michael J. Fox Foundation for Parkinsons Research ; Lumina Foundation ; NSF ; EPSCoR Program ; Montana State University; Montana; USA ; NIMH MH0441-07 |
Open unspecified license | nlx_25179 | SCR_004239 | Yogo Framework, Yogo Data Management Framework, Yogo | 2026-09-05 06:25:16 | 0 | ||||||||
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Open Connectome Project Resource Report Resource Website 1+ mentions |
Open Connectome Project (RRID:SCR_004232) | Open Connectome Project | analysis service resource, data access protocol, data analysis service, data or information resource, data repository, data set, image repository, production service resource, service resource, software resource, source code, storage service resource, web service | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. Connectomes repository to facilitate the analysis of connectome data by providing a unified front for connectomics research. With a focus on Electron Microscopy (EM) data and various forms of Magnetic Resonance (MR) data, the project aims to make state-of-the-art neuroscience open to anybody with computer access, regardless of knowledge, training, background, etc. Open science means open to view, play, analyze, contribute, anything. Access to high resolution neuroanatomical images that can be used to explore connectomes and programmatic access to this data for human and machine annotation are provided, with a long-term goal of reconstructing the neural circuits comprising an entire brain. This project aims to bring the most state-of-the-art scientific data in the world to the hands of anybody with internet access, so collectively, we can begin to unravel connectomes. Services: * Data Hosting - Their Bruster (brain-cluster) is large enough to store nearly any modern connectome data set. Contact them to make your data available to others for any purpose, including gaining access to state-of-the-art analysis and machine vision pipelines. * Web Viewing - Collaborative Annotation Toolkit for Massive Amounts of Image Data (CATMAID) is designed to navigate, share and collaboratively annotate massive image data sets of biological specimens. The interface is inspired by Google Maps, enhanced to allow the exploration of 3D image data. View the fork of the code or go directly to view the data. * Volume Cutout Service - RESTful API that enables you to select any arbitrary volume of the 3d database (3ddb), and receive a link to download an HDF5 file (for matlab, C, C++, or C#) or a NumPy pickle (for python). Use some other programming language? Just let them know. * Annotation Database - Spatially co-registered volumetric annotations are compactly stored for efficient queries such as: find all synapses, or which neurons synapse onto this one. Create your own annotations or browse others. *Sample Downloads - In addition to being able to select arbitrary downloads from the datasets, they have also collected a few choice volumes of interest. * Volume Viewer - A web and GPU enabled stand-alone app for viewing volumes at arbitrary cutting planes and zoom levels. The code and program can be downloaded. * Machine Vision Pipeline - They are building a machine vision pipeline that pulls volumes from the 3ddb and outputs neural circuits. - a work in progress. As soon as we have a stable version, it will be released. * Mr. Cap - The Magnetic Resonance Connectome Automated Pipeline (Mr. Cap) is built on JIST/MIPAV for high-throughput estimation of connectomes from diffusion and structural imaging data. * Graph Invariant Computation - Upload your graphs or streamlines, and download some invariants. * iPad App - WholeSlide is an iPad app that accesses utilizes our open data and API to serve images on the go. | human, primary visual cortex, data sharing, male, electron microscopy, mri, connectome, annotation, image collection, array tomography |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: CATMAID is related to: neurodata is parent organization of: Rambo3D |
Johns Hopkins University; Maryland; USA ; JHU Applied Research Laboratory IRAD ; JHU Whiting School of Engineering ; Dean's Award ; NIBIB 1RO1EB016411-01 (CRCNS); DARPA N66001-14-1-4028 (GRAPHS); NSF ACI-1261715; NSF OCI-1040114; NIDA 1R01DA036400-01 |
PMID:23707591 | THIS RESOURCE IS NO LONGER IN SERVICE | SciRes_000189, nlx_143645 | http://openconnecto.me, http://www.nitrc.org/projects/ocp/ | SCR_004232 | openconnectomeproject, Open Connectome Project: Collectively reverse-engineering the brain one synapse at a time., Open Connectome Project: Collectively reverse-engineering the brain one synapse at a time | 2026-09-05 06:25:16 | 7 | ||||
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DRUT Resource Report Resource Website |
DRUT (RRID:SCR_004351) | DRUT | software resource | Software for Discovery and Reconstruction of Unannotated Transcripts in Partially Annotated Genomes from High-Throughput RNA-Seq Data. | c++, reconstruction, frequency estimation, transcript, rna-seq, annotation |
is listed by: OMICtools has parent organization: Georgia State University; Georgia; USA |
NSF IIS-0546457; NSF IIS-0916401; NSF IIS-0916948 |
PMID:23202426 | OMICS_01273 | SCR_004351 | Discovery and Reconstruction of Unannotated Transcripts | 2026-09-05 06:25:18 | 0 | ||||||
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DigiMorph Resource Report Resource Website 50+ mentions |
DigiMorph (RRID:SCR_004416) | DigiMorph | data or information resource, database, image, narrative resource, training material, video resource | A dynamic archive of information on digital morphology and high-resolution X-ray computed tomography of biological specimens serving imagery for more than 750 specimens contributed by almost 150 collaborating researchers from the world''s premiere natural history museums and universities. Browse through the site and see spectacular imagery and animations and details on the morphology of many representatives of the Earth''s biota. Digital Morphology, part of the National Science Foundation Digital Libraries Initiative, develops and serves unique 2D and 3D visualizations of the internal and external structure of living and extinct vertebrates, and a growing number of ''invertebrates.'' The Digital Morphology library contains nearly a terabyte of imagery of natural history specimens that are important to education and central to ongoing cutting-edge research efforts. Digital Morphology visualizations are now in use in classrooms and research labs around the world and can be seen in a growing number of museum exhibition halls. The Digital Morphology site currently presents: * QuickTime animations of complete stacks of serial CT sections * Animated 3D volumetric movies of complete specimens * Stereolithography (STL) files of 3D objects that can be viewed interactively and rapidly prototyped into scalable physical 3D objects that can be handled and studied as if they were the original specimens * Informative introductions to the scanned organisms, often written by world authorities * Pertinent bibliographic information on each specimen * Useful links * A course resource for our ''Digital Methods for Paleontology'' course, in which students learn how to generate all of the types of imagery displayed on the Digital Morphology site | image archive, x-ray computed tomographic scanner, x-ray computed tomography, scientific name, common name, cladogram, dinosaur, tapir, horned lizard, endocast, bat, primate, FASEB list | has parent organization: University of Texas at Austin; Texas; USA | NSF | The images may be used for the personal education of website visitors. Any commercial reproduction, Redistribution, Publication, Or other use of the website content, By electronic means or otherwise, Is prohibited unless pursuant to a written agreement signed by the copyright holder. | nlx_143746, r3d100011511 | https://doi.org/10.17616/R3TD0C | SCR_004416 | Digital Morphology library, Digital Morphology | 2026-09-05 06:25:19 | 78 | |||||
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Catalog of Fishes Resource Report Resource Website |
Catalog of Fishes (RRID:SCR_004408) | CASGEN, CASSPC, CASREF, | bibliography, book, data or information resource, database, narrative resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 11, 2023. The Catalog of Fishes is the authoritative reference for taxonomic fish names, featuring a searchable on-line database. The Catalog of Fishes covers more than 53,000 species and subspecies, over 10,000 genera and subgenera, and includes in excess of 16,000 bibliographic references. The Catalog of Fishes consists of three hardbound volumes of 900-1000 pages each, along with a CD-ROM. The online database is updated about every 8 weeks and is now about twice the size of the published version. It is one of the oldest and most complete databases for any large animal group. References are over 30,000. Valid species are over 30,000. This work is an essential reference for taxonomists, scientific historians, and for any specialist dealing with fishes. Entries for species, for example, consist of species/subspecies name, genus, author, date, publication, pages, figures, type locality, location of type specimen(s), current status (with references), family/subfamily, and important publication, taxonomic, or nomenclatural notes. Nearly all original descriptions have been examined, and much effort has gone into determining the location of type specimens. The Genera are updated from Eschmeyer''s 1990 Genera of Recent Fishes. Both genera and species are listed in a classification using recent taxonomic schemes. Also included are a lengthy list of museum acronyms, an interpretation of the International Code of Zoological Nomenclature, and Opinions of the International Commission involving fishes. | genus, species, reference, publication |
is related to: Teleost Taxonomy Ontology is related to: Phenoscape Knowledgebase has parent organization: California Academy of Sciences |
NSF ; Alfred P. Sloan Foundation |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_41737 | SCR_004408 | Catalog of Fishes database | 2026-09-05 06:25:19 | 0 | ||||||
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PGN Resource Report Resource Website |
PGN (RRID:SCR_004559) | PGN | analysis service resource, data analysis service, data or information resource, data repository, data set, database, production service resource, service resource, storage service resource | Resource for the storage, retrieval and annotation of plant ESTs, with a focus on comparative genomics. PGN comprises an analysis pipeline and a website, and presently contains mainly data from the Floral Genome Project. However, it accepts submission from other sources. All data in PGN is directly derived from chromatograms and all original and intermediate data are stored in the database. The current datasets on PGN come from the floral genome project and includes the following species: Acorus americanus, Amborella trichopoda, Asparagus officinalis, Cucumis sativus, Eschscholzia californica, Eschscholzia californica, Illicium parviflorum, Ipomopsis aggregata, Liriodendron tulipifera, Mesembryanthemum crystallinum, Mimulus guttatus, Nuphar advena, Papaver somniferum, Persea americana, Prymnesium parvum, Ribes americanum, Saruma henryi, Stenogyne rugosa, Vaccinium corymbosa, Welwitschia mirabilis, Yucca filamentosa, Zamia fischeri. For functional annotation, blast is used to compare find the best match of each unigene sequence to in the Genbank NR database, and the in complete coding sequences from Arabidopsis. These annotations are stored in the database and serve as the primary source of annotation. The annotation framework will be extended to Gene Ontology annotations in the future. | expressed sequence tag, genomics, functional annotation, blast, sequencing, chromatogram | has parent organization: Cornell University; New York; USA | NSF DBI-9872617; NSF DBI-0115684 |
nlx_55223 | SCR_004559 | PGN - Plant Genome Network, Plant Genome Network | 2026-09-05 06:25:21 | 0 | |||||||
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Protein Data Bank Markup Language Resource Report Resource Website 1+ mentions |
Protein Data Bank Markup Language (RRID:SCR_005085) | PDBML | data or information resource, interchange format, markup language, narrative resource, standard specification | Markup Language that provides a representation of PDB data in XML format. The description of this format is provided in XML schema of the PDB Exchange Data Dictionary. This schema is produced by direct translation of the mmCIF format PDB Exchange Data Dictionary Other data dictionaries used by the PDB have been electronically translated into XML/XSD schemas and these are also presented in the list below. * PDBML data files are provided in three forms: ** fully marked-up files, ** files without atom records ** files with a more space efficient encoding of atom records * Data files in PDBML format can be downloaded from the RCSB PDB website or by ftp. * Software tools for manipulating PDB data in XML format are available. | xml |
is related to: RCSB PDB Software Tools has parent organization: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) |
NSF ; NIGMS ; DOE ; NLM ; NCI ; NCRR ; NIBIB ; NINDS |
PMID:15509603 | nlx_144096 | SCR_005085 | PDBML: Protein Data Bank Markup Language | 2026-09-05 06:25:29 | 2 |
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