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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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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 | 2026-08-29 11:21:50 | 7 | ||||
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CAMO - Cell Adhesion Molecule Ontology Resource Report Resource Website 1+ mentions |
CAMO - Cell Adhesion Molecule Ontology (RRID:SCR_004392) | CAMO | controlled vocabulary, data or information resource, ontology | CAMO (Cell Adhesion Molecule Ontology) is a set of standard vocabulary that provide a hierarchical description of cell adhesion molecules and their functions. We compiled a list for cell adhesion molecules by integrating Gene Ontology annotations, domain structure information, and keywords query against NCBI Entrez Gene annotations. Totally 496 unique human genes were identified to function as cell adhesion molecules, which is by far the most comprehensive dataset including cadherin, immunoglobulin/FNIII, integrin, neurexin, neuroligan, and catenin families. CAMO was constructed as a directed acyclic graph (DAG) using DAG-Edit to input, manage and update data. We annotated each term with name, definition and source references, as well as the relationship to other terms, based on manual reviews of domain architecture and functional annotations. If vertices represent terms and the relationships between terms are represented by edges, the terms in a DAG can be connected via a directed graph without cycles. CAMO thus provides a hierarchical description of functions of CAMs with five top-level categories: CAM gene families, CAM genetics, CAM regulation, CAM expression and CAM diseases. Each top-level term is further divided into several categories to describe the functions in detail. | cell adhesion, molecule, function, cell adhesion molecule |
has parent organization: Peking University; Beijing; China has parent organization: OKCAM: Ontology-based Knowledgebase for Cell Adhesion Molecules |
NIDA | nlx_40219 | SCR_004392 | Cell Adhesion Molecule Ontology | 2026-08-29 11:21:53 | 2 | |||||||
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Inter-university Consortium for Political and Social Research (ICPSR) Resource Report Resource Website 10+ mentions |
Inter-university Consortium for Political and Social Research (ICPSR) (RRID:SCR_003194) | ICPSR | consortium, data or information resource, organization portal, portal | Data archive of more than 500,000 files of research in the social sciences, hosting 16 specialized collections of data in education, aging, criminal justice, substance abuse, terrorism, and other fields. ICPSR comprises a consortium of about 700 academic institutions and research organizations providing training in data access, curation, and methods of analysis for the social science research community. ICPSR welcomes and encourages deposits of digital data. ICPSR's educational activities include the Summer Program in Quantitative Methods of Social Research external link, a comprehensive curriculum of intensive courses in research design, statistics, data analysis, and social methodology. ICPSR also leads several initiatives that encourage use of data in teaching, particularly for undergraduate instruction. ICPSR-sponsored research focuses on the emerging challenges of digital curation and data science. ICPSR researchers also examine substantive issues related to our collections, with an emphasis on historical demography and the environment. | psychiatry, survey, digital, social science, data archive, education, criminal justice, terrorism, child care, early education, data sharing, health, medical care, minority, mental health, political science, demography, economics, history, gerontology, public health, terrorism, psychology, sociology, foreign policy, terrorism, psychology, law |
uses: DataCite lists: Advanced Cognitive Training for Independent and Vital Elderly (ACTIVE) lists: Mexican Health and Aging Study lists: Human Mortality Database lists: Religion Aging and Health Survey lists: Resources for Enhancing Alzheimers Caregiver Health lists: Seattle Longitudinal Study lists: Social Environment and Biomarkers of Aging Study in Taiwan lists: Indonesia Family Life Survey lists: Piedmont Health Survey of the Elderly lists: English Longitudinal Study of Ageing lists: Luxembourg Income Study lists: Alameda County Health and Ways of Living Study lists: Second Malaysian Family Life Survey lists: Charleston Heart Study lists: Census Microdata Samples Project lists: Chinese Longitudinal Healthy Longevity Survey (CLHLS) lists: Established Populations for Epidemiologic Studies of the Elderly lists: Los Angeles Family and Neighborhood Survey lists: Health and Retirement Study lists: Iowa 65+ Rural Health Study lists: Longitudinal Study of Generations lists: Longitudinal Study of Elderly Mexican American Health lists: Matlab Health and Socio-Economic Survey lists: National Long Term Care Survey lists: National Longitudinal Mortality Study lists: National Longitudinal Survey of Older Men lists: National Nursing Home Survey Follow-Up lists: National Social Life Health and Aging Project (NSHAP) lists: National Survey of the Japanese Elderly lists: National Survey of Midlife Development in the United States lists: Nihon University Japanese Longitudinal Study of Aging lists: Panel Study of Income Dynamics lists: Public Use Microdata Sample for the Older Population lists: International Data Base lists: German Socio-Economic Panel lists: New Beneficiary Data System lists: Longitudinal Studies of Aging lists: National Survey of Families and Households lists: National Survey of Self-Care and Aging lists: Epidemiology of Chronic Disease in the Oldest Old lists: Aging Status and Sense of Control (ASOC) is listed by: re3data.org has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: National Addiction and HIV Data Archive Program (NAHDAP) is parent organization of: National Archive of Computerized Data on Aging (NACDA) is parent organization of: Substance Abuse and Mental Health Data Archive |
Aging, Substance abuse, Addiction, HIV | NIA ; NICHD ; NIDA ; NIH |
nif-0000-00615 | http://www.icpsr.umich.edu/icpsrweb/landing.jsp | SCR_003194 | Interuniversity Consortium for Political Social Research, Inter-university Consortium for Political Social Research (ICPSR), Interuniversity Consortium for Political and Social Research | 2026-08-29 11:21:46 | 49 | |||||
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Mouse Phenome Database (MPD) Resource Report Resource Website 100+ mentions |
Mouse Phenome Database (MPD) (RRID:SCR_003212) | MPD | data or information resource, data repository, database, experimental protocol, narrative resource, service resource, storage service resource | Database enables integration of genomic and phenomic data by providing access to primary experimental data, data collection protocols and analysis tools. Data represent behavioral, morphological and physiological disease-related characteristics in naive mice and those exposed to drugs, environmental agents or other treatments. Collaborative standardized collection of measured data on laboratory mouse strains to characterize them in order to facilitate translational discoveries and to assist in selection of strains for experimental studies. Includes baseline phenotype data sets as well as studies of drug, diet, disease and aging effect., protocols, projects and publications, and SNP, variation and gene expression studies. Provides tools for online analysis. Data sets are voluntarily contributed by researchers from variety of institutions and settings, or retrieved by MPD staff from open public sources. MPD has three major types of strain-centric data sets: phenotype strain surveys, SNP and variation data, and gene expression strain surveys. MPD collects data on classical inbred strains as well as any fixed-genotype strains and derivatives that are openly acquirable by the research community. New panels include Collaborative Cross (CC) lines and Diversity Outbred (DO) populations. Phenotype data include measurements of behavior, hematology, bone mineral density, cholesterol levels, endocrine function, aging processes, addiction, neurosensory functions, and other biomedically relevant areas. Genotype data are primarily in the form of single-nucleotide polymorphisms (SNPs). MPD curates data into a common framework by standardizing mouse strain nomenclature, standardizing units (SI where feasible), evaluating data (completeness, statistical power, quality), categorizing phenotype data and linking to ontologies, conforming to internal style guides for titles, tags, and descriptions, and creating comprehensive protocol documentation including environmental parameters of the test animals. These elements are critical for experimental reproducibility. | female, genomic location, genotype, inbred strain, male, mouse strain, phenome, phenotype, qtl, reference data, single-nucleotide polymorphism, strain allele, strain characteristic, strain, trait, gene expression, variation, hypothesis testing, data set, bio.tools, FASEB list |
is used by: NIF Data Federation is used by: Integrated Datasets is used by: NIH Heal Project is listed by: re3data.org is listed by: bio.tools is listed by: Debian is related to: Special Mouse Strains Resource is related to: Vertebrate Trait Ontology is related to: GenomeMUSter has parent organization: Jackson Laboratory |
NHGRI HG003057; NHLBI HL66611; NIA AG025707; NIA AG038070; NIDA ; NIDA DA028420; NIMH MH071984 |
PMID:24243846 PMID:22102583 PMID:18987003 PMID:17151079 |
Free, Freely available | biotools:mpd, nif-0000-03160, r3d100010101 | https://bio.tools/mpd, https://doi.org/10.17616/R3PC7F | http://www.jax.org/phenome | SCR_003212 | Mouse Phenome Database | 2026-08-29 11:21:47 | 230 | |||
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Michigan Molecular Interactions Resource Report Resource Website 1+ mentions |
Michigan Molecular Interactions (RRID:SCR_003521) | MiMI | analysis service resource, data access protocol, data analysis service, data or information resource, database, production service resource, service resource, software resource, web service | MiMi Web gives you an easy to use interface to a rich NCIBI data repository for conducting your systems biology analyses. This repository includes the MiMI database, PubMed resources updated nightly, and text mined from biomedical research literature. The MiMI database comprehensively includes protein interaction information that has been integrated and merged from diverse protein interaction databases and other biological sources. With MiMI, you get one point of entry for querying, exploring, and analyzing all these data. MiMI provides access to the knowledge and data merged and integrated from numerous protein interactions databases and augments this information from many other biological sources. MiMI merges data from these sources with deep integration into its single database with one point of entry for querying, exploring, and analyzing all these data. MiMI allows you to query all data, whether corroborative or contradictory, and specify which sources to utilize. MiMI displays results of your queries in easy-to-browse interfaces and provides you with workspaces to explore and analyze the results. Among these workspaces is an interactive network of protein-protein interactions displayed in Cytoscape and accessed through MiMI via a MiMI Cytoscape plug-in. MiMI gives you access to more information than you can get from any one protein interaction source such as: * Vetted data on genes, attributes, interactions, literature citations, compounds, and annotated text extracts through natural language processing (NLP) * Linkouts to integrated NCIBI tools to: analyze overrepresented MeSH terms for genes of interest, read additional NLP-mined text passages, and explore interactive graphics of networks of interactions * Linkouts to PubMed and NCIBI's MiSearch interface to PubMed for better relevance rankings * Querying by keywords, genes, lists or interactions * Provenance tracking * Quick views of missing information across databases. Data Sources include: BIND, BioGRID, CCSB at Harvard, cPath, DIP, GO (Gene Ontology), HPRD, IntAct, InterPro, IPI, KEGG, Max Delbreuck Center, MiBLAST, NCBI Gene, Organelle DB, OrthoMCL DB, PFam, ProtoNet, PubMed, PubMed NLP Mining, Reactome, MINT, and Finley Lab. The data integration service is supplied under the conditions of the original data sources and the specific terms of use for MiMI. Access to this website is provided free of charge. The MiMI data is queryable through a web services api. The MiMI data is available in PSI-MITAB Format. These files represent a subset of the data available in MiMI. Only UniProt and RefSeq identifiers are included for each interactor, pathways and metabolomics data is not included, and provenance is not included for each interaction. If you need access to the full MiMI dataset please send an email to mimi-help (at) umich.edu. | gene, interaction, molecule, protein, protein interaction, protein-protein interaction |
is related to: MiMI Plugin for Cytoscape has parent organization: National Center for Integrative Biomedical Informatics |
Michigan Center for Biological Information ; National Center for Integrative Biomedical Informatics ; Pfizer ; Medical and Academic Partnerships ; Howard Hughes Medical Institute ; Microsoft Corporation ; NLM R01 LM008106; NIDA U54 DA021519; NSF IIS 0219513 |
PMID:18978014 PMID:17130145 |
nif-0000-00214 | SCR_003521 | 2026-08-29 11:21:36 | 5 | |||||||
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MiMI Plugin for Cytoscape Resource Report Resource Website 1+ mentions |
MiMI Plugin for Cytoscape (RRID:SCR_003424) | MiMI Plugin | data processing software, data visualization software, software application, software resource | The Cytoscape MiMI Plugin is an open source interactive visualization tool that you can use for analyzing protein interactions and their biological effects. The Cytoscape MiMI Plugin couples Cytoscape, a widely used software tool for analyzing bimolecular networks, with the MiMI database, a database that uses an intelligent deep-merging approach to integrate data from multiple well-known protein interaction databases. The MiMI database has data on 119,880 molecules, 330,153 interactions, and 579 complexes. By querying the MiMI database through Cytoscape you can access the integrated molecular data assembled in MiMI and retrieve interactive graphics that display protein interactions and details on related attributes and biological concepts. You can interact with the visualization by expanding networks to the next nearest neighbors and zooming and panning to relationships of interest. You also can perceptually encode nodes and links to show additional attributes through color, size and the visual cues. You can edit networks, link out to other resources and tools, and access information associated with interactions that has been mined and summarized from the research literature information through a biology natural language processing database (BioNLP) and a multi-document summarization system, MEAD. Additionally, you can choose sub-networks of interest and use SAGA, a graph matching tool, to match these sub-networks to biological pathways. | protein interaction, network visualization, xquery, interactive database, information refining, molecular interaction, bioinformatics tool, java, protein-protein interaction, interaction network, biological effect, bimolecular, interaction, molecular, network, pathway, protein, visualization, plugin |
is listed by: Biositemaps is related to: Cytoscape is related to: Michigan Molecular Interactions has parent organization: University of Michigan; Ann Arbor; USA has parent organization: National Center for Integrative Biomedical Informatics |
NIH ; NIDA U54 DA021519; NLM R01 LM008106; NCRR P41 RR018627 |
PMID:18812364 | nif-0000-33090 | http://mimiplugin.ncibi.org/index.html | SCR_003424 | Cytoscape Plugin for MiMI, MiMI Plugin - Cytoscape Plugin for MiMI | 2026-08-29 11:21:56 | 1 | |||||
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miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | analysis service resource, production service resource, service resource, storage service resource | miniTUBA is a web-based modeling system that allows clinical and biomedical researchers to perform complex medical/clinical inference and prediction using dynamic Bayesian network analysis with temporal datasets. The software allows users to choose different analysis parameters (e.g. Markov lags and prior topology), and continuously update their data and refine their results. miniTUBA can make temporal predictions to suggest interventions based on an automated learning process pipeline using all data provided. Preliminary tests using synthetic data and laboratory research data indicate that miniTUBA accurately identifies regulatory network structures from temporal data. miniTUBA represents in a network view possible influences that occur between time varying variables in your dataset. For these networks of influence, miniTUBA predicts time courses of disease progression or response to therapies. minTUBA offers a probabilistic framework that is suitable for medical inference in datasets that are noisy. It conducts simulations and learning processes for predictive outcomes. The DBN analysis conducted by miniTUBA describes from variables that you specify how multiple measures at different time points in various variables influence each other. The DBN analysis then finds the probability of the model that best fits the data. A DBN analysis runs every combination of all the data; it examines a large space of possible relationships between variables, including linear, non-linear, and multi-state relationships; and it creates chains of causation, suggesting a sequence of events required to produce a particular outcome. Such chains of causation networks - are difficult to extract using other machine learning techniques. DBN then scores the resulting networks and ranks them in terms of how much structured information they contain compared to all possible models of the data. Models that fit well have higher scores. Output of a miniTUBA analysis provides the ten top-scoring networks of interacting influences that may be predictive of both disease progression and the impact of clinical interventions and probability tables for interpreting results. The DBN analysis that miniTUBA provides is especially good for biomedical experiments or clinical studies in which you collect data different time intervals. Applications of miniTUBA to biomedical problems include analyses of biomarkers and clinical datasets and other cases described on the miniTUBA website. To run a DBN with miniTUBA, you can set a number of parameters and constrain results by modifying structural priors (i.e. forcing or forbidding certain connections so that direction of influence reflects actual biological relationships). You can specify how to group variables into bins for analysis (called discretizing) and set the DBN execution time. You can also set and re-set the time lag to use in the analysis between the start of an event and the observation of its effect, and you can select to analyze only particular subsets of variables. | analysis, analyze, bayesian, causation, clinical, linear, medical, structure, temporal, network analysis, network, molecule, information refining, gene expression regulation, bioinformatics, statistical package, interaction network, prediction, pathway, inference, biomedical, intervention |
is listed by: Biositemaps has parent organization: National Center for Integrative Biomedical Informatics has parent organization: University of Michigan; Ann Arbor; USA |
Society of University Surgeons Foundation ; NIDA U54DA021519; NIAID 1R21AI057875-01; NIGMS K08 GM074678-01A1 |
PMID:17644819 | Free, Freely available | nif-0000-33272 | SCR_003447 | miniTUBA - Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool, Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool (miniTUBA), The Medical Inference by Network Integration of Temporal Data using Bayesian Analysis tool | 2026-08-29 11:21:34 | 0 | |||||
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GeneNetwork Resource Report Resource Website 100+ mentions |
GeneNetwork (RRID:SCR_002388) | GeneNetwork, WebQTL | data or information resource, data repository, database, service resource, storage service resource | Web platform that provides access to data and tools to study complex networks of genes, molecules, and higher order gene function and phenotypes. Sequence data (SNPs) and transcriptome data sets (expression genetic or eQTL data sets). Quantitative trait locus (QTL) mapping module that is built into GN is optimized for fast on-line analysis of traits that are controlled by combinations of gene variants and environmental factors. Used to study humans, mice (BXD, AXB, LXS, etc.), rats (HXB), Drosophila, and plant species (barley and Arabidopsis). Users are welcome to enter their own private data. | Variation, trait, vertebrate trait ontology, phenotype, systems genetics, quantitative trait, gene mapping, experimental precision medicinenetwork analysis, causal modeling, genomic location, genotype, inbred strain, sex, heterogeneous stock, phenome, phenotype, QTL, expression QTL, genetic reference population, single nucleotide polymorphism, RNA expression, protein expression, metabolite expression, metagenomics, epigenomics, gene-by-environmental interaction, epistasis, FAIR data standards, open source software, FASEB list |
is used by: NIF Data Federation is used by: Hypothesis Center is related to: NIH Data Sharing Repositories has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
NCI U01 CA105417; NCRR U24 RR021760; NIAAA U01 AA014425; NIAAA U01 AA016662; NIAAA U01 AA13499; NIAAA U24 AA13513; NIA R01 AG043930; NIDA P20 DA21131; NIGMS R01 GM123489 |
PMID:8043953 PMID:11737945 PMID:15043217 PMID:15114364 PMID:15043220 PMID:15043219 PMID:15711545 PMID:18368372 PMID:27933521 |
Restricted | nif-0000-00380 | SCR_002388 | GeneNetwork and WebQTL, GeneNetwork / WebQTL, www.genenetwork.org, GeneNetwork WebQTL, The GeneNetwork / WebQTL | 2026-08-29 11:21:04 | 499 | |||||
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New Science of Addiction: Genetics and the Brain Resource Report Resource Website 1+ mentions |
New Science of Addiction: Genetics and the Brain (RRID:SCR_002770) | New Science of Addiction | data or information resource, disease-related portal, narrative resource, portal, topical portal, training material | A physiologic and molecular look at drug addiction involving many factors including: basic neurobiology, a scientific examination of drug action in the brain, the role of genetics in addiction, and ethical considerations. Designed to be used by students, teachers and members of the public, the materials meet selected US education standards for science and health. Drug addiction is a chronic disease characterized by changes in the brain which result in a compulsive desire to use a drug. A combination of many factors including genetics, environment and behavior influence a person's addiction risk, making it an incredibly complicated disease. The new science of addiction considers all of these factors - from biology to family - to unravel the complexities of the addicted brain. * Natural Reward Pathways Exist in the Brain: The reward pathway is responsible for driving our feelings of motivation, reward and behavior. * Drugs Alter the Brain's Reward Pathway: Drugs work over time to change the reward pathway and affect the entire brain, resulting in addiction. * Genetics Is An Important Factor In Addiction: Genetic susceptibility to addiction is the result of the interaction of many genes. * Timing and Circumstances Influence Addiction: If you use drugs when you are an adolescent, you are more likely to develop lifetime addiction. An individual's social environment also influences addiction risk. * Challenges and Issues in Addiction: Addiction impacts society with many ethical, legal and social issues. | drug abuse, drug delivery, drug, drug of abuse, environmental risk factor, genetic factor, genetics, addiction, gene, treatment, brain, brain circuit, pathway, human, lesson plan, neuron, reward pathway, spanish, teacher, chronic disease | has parent organization: University of Utah Genetic Science Learning Center - Learn Genetics | Substance-Related Disorder | NIDA 1 R25 DA 15461 | Free | nif-0000-00430 | SCR_002770 | 2026-08-29 11:21:19 | 3 | ||||||
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | data or information resource, disease-related portal, laboratory portal, organization portal, portal, research forum portal, topical portal | THIS RESOURCE IS NO LONGER IN SERVICE, documented May 10, 2017. A pilot effort that has developed a centralized, web-based biospecimen locator that presents biospecimens collected and stored at participating Arizona hospitals and biospecimen banks, which are available for acquisition and use by researchers. Researchers may use this site to browse, search and request biospecimens to use in qualified studies. The development of the ABL was guided by the Arizona Biospecimen Consortium (ABC), a consortium of hospitals and medical centers in the Phoenix area, and is now being piloted by this Consortium under the direction of ABRC. You may browse by type (cells, fluid, molecular, tissue) or disease. Common data elements decided by the ABC Standards Committee, based on data elements on the National Cancer Institute''s (NCI''s) Common Biorepository Model (CBM), are displayed. These describe the minimum set of data elements that the NCI determined were most important for a researcher to see about a biospecimen. The ABL currently does not display information on whether or not clinical data is available to accompany the biospecimens. However, a requester has the ability to solicit clinical data in the request. Once a request is approved, the biospecimen provider will contact the requester to discuss the request (and the requester''s questions) before finalizing the invoice and shipment. The ABL is available to the public to browse. In order to request biospecimens from the ABL, the researcher will be required to submit the requested required information. Upon submission of the information, shipment of the requested biospecimen(s) will be dependent on the scientific and institutional review approval. Account required. Registration is open to everyone.. Documented on June 8, 2020.Macaque genomic and proteomic resources and how they are providing important new dimensions to research using macaque models of infectious disease. The research encompasses a number of viruses that pose global threats to human health, including influenza, HIV, and SARS-associated coronavirus. By combining macaque infection models with gene expression and protein abundance profiling, they are uncovering exciting new insights into the multitude of molecular and cellular events that occur in response to virus infection. A better understanding of these events may provide the basis for innovative antiviral therapies and improvements to vaccine development strategies. | genomic, hiv, infection, proteomic, virus, simian immunodeficiency virus, influenza virus, animal model | has parent organization: University of Washington; Seattle; USA | Viral infection, Infectious disease | NCRR ; NIAID ; NHLBI ; NIDA |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-24370 | SCR_002767 | Macaque.org | 2026-08-29 11:21:19 | 3 | |||||
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OpenNeuro Resource Report Resource Website 100+ mentions |
OpenNeuro (RRID:SCR_005031) | OpenNeuro, OpenfMRI | data or information resource, data repository, database, image repository, service resource, storage service resource | Open platform for analyzing and sharing neuroimaging data from human brain imaging research studies. Brain Imaging Data Structure ( BIDS) compliant database. Formerly known as OpenfMRI. Data archives to hold magnetic resonance imaging data. Platform for sharing MRI, MEG, EEG, iEEG, and ECoG data. | neuroinformatics, database, storing, dataset, neuroimaging, data, MRI, MEG, EEG, iEEG, ECoG, FASEB list |
uses: Brain Imaging Data Structure (BIDs) uses: HED Tags is used by: studyforrest.org is used by: DataLad is used by: NIF Data Federation is used by: Integrated Datasets is used by: NIH Heal Project is used by: Baby Open Brains is recommended by: National Library of Medicine is recommended by: BRAIN Initiative is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: re3data.org is listed by: DataCite is listed by: FAIRsharing is affiliated with: NEMAR is related to: Integrated Manually Extracted Annotation has parent organization: Stanford University; Stanford; California has parent organization: Stanford Center for Reproducible Neuroscience has parent organization: BRAIN Initiative is provided by: OpenNeuro |
BRAIN Initiative ; Laura and John Arnold Foundation ; NIDA ; NIMH ; NSF OCI1131441; Squishymedia ; Stanford |
Free, Freely available | DOI:10.25504/FAIRsharing.s1r9bw, r3d100010924, nlx_144048, DOI:10.17616/R33047, DOI:10.18112 | http://www.nitrc.org/projects/openfmri, https://github.com/OpenNeuroDatasets, https://doi.org/10.17616/R33047, https://doi.org/10.17616/r33047, https://doi.org/10.18112/, https://dx.doi.org/10.18112/, https://fairsharing.org/10.25504/FAIRsharing.s1r9bw, https://doi.org/10.17616/R33047 | http://openfmri.org | SCR_005031 | OpenfMRI, Open fMRI, OpenNeuro | 2026-08-29 11:22:05 | 310 | ||||
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National Institute on Drug Abuse Media Guide Resource Report Resource Website |
National Institute on Drug Abuse Media Guide (RRID:SCR_006850) | NIDA Media Guide | data or information resource, narrative resource, report | The latest findings on the science of drug abuse and addiction and commonly abused drugs, and lists resources for more information. They are committed to bringing timely, factual information on addiction and treatment to the press and public. NIDA''s Public Information and Liaison Branch (PILB) is part of NIDA''s Office of Science Policy and Communications. Linking scientists, the scientific community, and the media, PILB supports the rapid dissemination of research information to inform policy and to improve practice. NIDA''s goal is to ensure that science - not ideology or anecdote - forms the foundation of public information on drug abuse and addiction. NIDAs online MEDIA GUIDE provides answers on how to find what you need to know about drug abuse and addiction, including information on the basics (The Science of Drug Abuse and Addiction and Commonly Abused Drugs), resources (Where to Find Nationwide Trends and Statistics, NIDA Resources, and Other Government Web Sites for Health and Science Information), NIDAs history and background, a glossary and relevant contact information. NIDA is pleased to offer this guide to the important findings that are emerging as a result of research on addiction and its treatment. NIDA, part of the National Institutes of Health under the U.S. Department of Health and Human Services, supports most of the world''s research on drug abuse and addiction, including basic and behavioral science research that addresses fundamental and essential questions relevant to drug abuse, ranging from its causes and consequences to its treatment and prevention. The purpose of this guide is to give journalists fast and user-friendly access to the latest scientific information but it is useful for anyone interested in how to access accurate information about drug abuse and addiction. In more than three decades as a researcher, I have seen the impact that science and health journalists have had in bringing scientific research to the public. It is through information that Americans gain hope and understanding. I have come to know many of you over the years and remain committed to releasing scientific information as quickly as possible for rapid dissemination to the public. Please keep this guide nearby as a useful tool and let us know how NIDA''s public liaison staff can help you reach your information and deadline needs. A PDF version is available for download. | drug of abuse, prevention, research, substance-related disorder, treatment, drug abuse, substance abuse, publication | has parent organization: National Institute on Drug Abuse | Substance-related disorder | NIDA | nif-0000-23843 | SCR_006850 | 2026-08-29 11:22:46 | 0 | |||||||
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VoxBo Resource Report Resource Website 10+ mentions |
VoxBo (RRID:SCR_002166) | VoxBo | data processing software, image analysis software, image processing software, software application, software resource | Software package for brain image manipulation and analysis, focusing on fMRI and lesion analysis. VoxBo can be used independently or in conjunction with other packages. It provides GLM-based statistical tools, an architecture for interoperability with other tools (they encourage users to incorporate SPM and FSL into their processing pipelines), an automation system, a system for parallel distributed computing, numerous stand-alone tools, decent wiki-based documentation, and lots more. | fmri, neuroimaging, brain, functional, statistical, volume, preprocessing, analysis, display, format conversion, linear, three dimensional display, workflow, lesion, analyze, c++, console (text based), dicom, image display, linux, macos, microsoft, magnetic resonance, nifti, no input/output (daemon), overlap metrics, posix/unix-like, quantification, regression, resampling, sinc function interpolation, spatial transformation, statistical operation, visualization, windows |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is listed by: Biositemaps is listed by: Debian has parent organization: neurodebian |
NIDA R01DA014418; NIMH R01MH073529 |
PMID:22348882 | Free, Available for download, Freely available | nif-0000-00353 | https://sources.debian.org/src/voxbo/, https://github.com/kimberg/voxbo | http://www.voxbo.org/ | SCR_002166 | 2026-08-29 11:20:59 | 13 | ||||
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YPED Resource Report Resource Website 1+ mentions |
YPED (RRID:SCR_001436) | YPED | data or information resource, data repository, database, service resource, storage service resource | Open source system for storage, retrieval, and integrated analysis of large amounts of data from high throughput proteomic technologies. YPED currently handles LCMS, MudPIT, ICAT, iTRAQ, SILAC, 2D Gel and DIGE. The repository contains data sets which have been released for public viewing and downloading by the responsible Primary Investigators. It includes proteomic data generated by the Yale NIDA Neuroproteomics Center (http://medicine.yale.edu/keck/nida/index.aspx). Sample descriptions are compatible with the evolving MIAPE standards. | proteomics, protein, database, mass spectrometry, neuroscience, data analysis service, small molecule, source code, peptide, protein expression, phosphoprotein, mudpit, dige, icat, itraq |
uses: PANTHER is used by: Integrated Datasets is related to: Integrated Manually Extracted Annotation has parent organization: Yale School of Medicine; Connecticut; USA |
NIDA P30 DA018343; NHLBI N01-HV-28186 |
PMID:17867667 | Free, Freely Available | nlx_152660 | http://medicine.yale.edu/keck/nida/yped.aspx | SCR_001436 | Yale Protein Expression Database | 2026-08-29 11:20:54 | 4 | ||||
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National Addiction and HIV Data Archive Program (NAHDAP) Resource Report Resource Website |
National Addiction and HIV Data Archive Program (NAHDAP) (RRID:SCR_000636) | NAHDAP | data or information resource, data repository, disease-related portal, portal, service resource, storage service resource, topical portal | Archive that acquires, preserves and disseminates data relevant to drug addiction and HIV research. Collection of data on drug addiction and HIV infection in United States. Most of datasets are raw data from surveys, interviews, and administrative records. They were originally gathered in research projects and for administrative purposes. Some datasets have been used in published studies. Bibliographies of these studies are available . Provides access to research data and technical assistance for data depositors. Provides e-workshops on data preparation and data systems. | drug addiction data, HIV infection data, |
uses: DataCite is used by: NIH Heal Project is recommended by: National Library of Medicine is recommended by: NIDDK Information Network (dkNET) is recommended by: NIDDK - National Institute of Diabetes and Digestive and Kidney Diseases is listed by: re3data.org has parent organization: Inter-university Consortium for Political and Social Research (ICPSR) |
Addiction, Human immunodeficiency virus, HIV | NIDA ; Office of Behavioral and Social Sciences Research |
Restricted | nif-0000-06713, r3d100010261, DOI:10.3886 | https://doi.org/10.3886/, https://dx.doi.org/10.3886/, https://doi.org/10.17616/R3PK64 | SCR_000636 | , National Addiction & HIV DATA Archive Program, National Addiction HIV Data Archive Program, National Addiction and HIV DATA Archive Program, NAHDAP, National Addiction and HIV DATA Archive Program (NAHDAP), National Addiction & HIV DATA Archive Program (NAHDAP), ICPSR/NAHDP | 2026-08-29 11:20:33 | 0 | ||||
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Comprehensive Drug Self-administration and Discrimination Bibliographic Databases Resource Report Resource Website |
Comprehensive Drug Self-administration and Discrimination Bibliographic Databases (RRID:SCR_000707) | bibliography, data or information resource, database | Database of bibliographic details of over 9,000 references published between 1951 and the present day, and includes abstracts, journal articles, book chapters and books replacing the two former separate websites for Ian Stolerman's drug discrimination database and Dick Meisch's drug self-administration database. Lists of standardized keywords are used to index the citations. Most of the keywords are generic drug names but they also include methodological terms, species studied and drug classes. This index makes it possible to selectively retrieve references according to the drugs used as the training stimuli, drugs used as test stimuli, drugs used as pretreatments, species, etc. by entering your own terms or by using our comprehensive lists of search terms. Drug Discrimination Drug Discrimination is widely recognized as one of the major methods for studying the behavioral and neuropharmacological effects of drugs and plays an important role in drug discovery and investigations of drug abuse. In Drug Discrimination studies, effects of drugs serve as discriminative stimuli that indicate how reinforcers (e.g. food pellets) can be obtained. For example, animals can be trained to press one of two levers to obtain food after receiving injections of a drug, and to press the other lever to obtain food after injections of the vehicle. After the discrimination has been learned, the animal starts pressing the appropriate lever according to whether it has received the training drug or vehicle; accuracy is very good in most experiments (90 or more correct). Discriminative stimulus effects of drugs are readily distinguished from the effects of food alone by collecting data in brief test sessions where responses are not differentially reinforced. Thus, trained subjects can be used to determine whether test substances are identified as like or unlike the drug used for training. Drug Self-administration Drug Self-administration methodology is central to the experimental analysis of drug abuse and dependence (addiction). It constitutes a key technique in numerous investigations of drug intake and its neurobiological basis and has even been described by some as the gold standard among methods in the area. Self-administration occurs when, after a behavioral act or chain of acts, a feedback loop results in the introduction of a drug or drugs into a human or infra-human subject. The drug is usually conceptualized as serving the role of a positive reinforcer within a framework of operant conditioning. For example, animals can be given the opportunity to press a lever to obtain an infusion of a drug through a chronically-indwelling venous catheter. If the available dose of the drug serves as a positive reinforcer then the rate of lever-pressing will increase and a sustained pattern of responding at a high rate may develop. Reinforcing effects of drugs are distinguishable from other actions such as increases in general activity by means of one or more control procedures. Trained subjects can be used to investigate the behavioral and neuropharmacological basis of drug-taking and drug-seeking behaviors and the reinstatement of these behaviors in subjects with a previous history of drug intake (relapse models). Other applications include evaluating novel compounds for liability to produce abuse and dependence and for their value in the treatment of drug dependence and addiction. The bibliography is updated about four times per year. | drug, drug-seeking behavior, drug-taking behavior, abstract, behavior, behavioral neuropharmacology, discrimination, non-human vertebrate, publication, relapse, self-administration, substance-related disorder, book, journal article | has parent organization: University of Texas Health Science Center at Houston; Texas; USA | NIDA DA-04376 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00090 | http://www.drugrefs.org/ | SCR_000707 | Drug Self-administration and Discrimination Bibliographic Databases | 2026-08-29 11:20:35 | 0 | ||||||
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EpiModel Resource Report Resource Website 1+ mentions |
EpiModel (RRID:SCR_018539) | data analysis software, data processing software, software application, software resource, software toolkit | Software R package for mathematical modeling of infectious disease over networks. Provides tools for simulating and analyzing mathematical models of infectious disease dynamics. Mathematical Modeling of Infectious Disease Dynamics. | Infectious disease, mathematical modeling, simulation, analysis, infectious disease dynamic, bio.tools |
is listed by: Debian is listed by: bio.tools |
NIAID P30 AI027757; NIAID P30 AI050409; NICHD R01 HD068395; NICHD R21 HD075662; NICHD T32 HD007543; NIDA P30 DA027828; NIMH R21 MH112449 |
PMID:29731699 | Free, Available for download, Freely available | biotools:epimodel | https://bio.tools/epimodel | SCR_018539 | 2026-08-29 11:26:09 | 8 | ||||||
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RatsPub Resource Report Resource Website |
RatsPub (RRID:SCR_018905) | data access protocol, software application, software resource, text-mining software, web service | Web service that conducts comprehensive literature mining to identify roles of genes in addiction. Searches PubMed to find abstracts containing genes of interest and list of curated addiction related keywords. | Literature mining, addiction gene, PubMed abstract, gene, addiction, addiction relationship, neurogenetics | NIDA P30 DA044223; NIDA U01 DA047638 |
Free, Freely available | https://github.com/chen42/ratspub | SCR_018905 | rats.pub, Rats.pub, Relationship with Addiction Through Searches of PubMed | 2026-08-29 11:26:15 | 0 | ||||||||
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exRNA Atlas Resource Report Resource Website 10+ mentions |
exRNA Atlas (RRID:SCR_017221) | analysis service resource, application programming interface, atlas, consortium, controlled vocabulary, data access protocol, data analysis service, data or information resource, data repository, database, expression atlas, ontology, organization portal, portal, production service resource, service resource, software resource, storage service resource | Software tool as data and metadata repository of Extracellular RNA Communication Consortium. Atlas includes small RNA sequencing and qPCR derived exRNA profiles from human and mouse biofluids. All RNAseq datasets are processed using version 4 of exceRpt small RNAseq pipeline. Atlas accepts submissions for RNAseq or qPCR data. | Differential, expression, RNA, sequencing, qPCR, data, visualization, extracellular, exRNA, atlas, repository, dataset |
is recommended by: National Library of Medicine has parent organization: Baylor College of Medicine; Houston; Texas has parent organization: exRNA |
gastric cancer, colon carcinoma, colorectal cancer, prostate carcinoma, pancreatic carcinoma, multiple sclerosis, glioblastoma multiforme, ulcerative colitis, Alzheimer's disease, ischemic stroke, intraparenchymal hemorrhage of brain, asthma, cardiovascular disorder, myocardial infarction, lupus, nephrotic syndrome, transplanted kidney present, liver disease, transplanted liver present, pre-eclampsia, Parkinson disease, intraventricular brain hemorrhage, subarachnoid hemorrhage | American Cancer Society ResearchProfessor Award ; Frank McGraw Memorial Chair in CancerResearch ; NCATS UH3 TR000906; NCATS UH3 TR000943; NCI CA217685; NCI R01 CA163849; NCI R35 CA209904; NCI U19 CA179512; NHLBI K23 HL127099; NHLBI R01 HL122547; NHLBI R01 HL136685; NIA R01 AG059729; NIDA U54 DA036134; NIDDK P30 DK63720; NIGMS R25 GM056929 |
PMID:30951672 | Restricted | SCR_017221 | 2026-08-29 11:25:57 | 29 | |||||||
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CloudReg Resource Report Resource Website |
CloudReg (RRID:SCR_022795) | data processing software, image analysis software, software application, software resource | Software automated, terascale, cloud based image analysis pipeline for preprocessing and cross modal, nonlinear registration between volumetric datasets with artifacts. Automatic terabyte scale cross modal brain volume registration. | brain volume, nonlinear registration, automatic terabyte scale, cross modal brain volume registration, image analysis pipeline, volumetric datasets with artifacts | is used by: BICCN | AP Giannini Foundation ; Johns Hopkins University Kavli Neuroscience Discovery Institute Postdoctoral Fellowship ; Karen Toffler Charitable Trust ; Kavli Neuroscience Discovery Institute ; Microsoft Research ; NIA P01AG009973; NIA R01 AG066184; NIDA 1K99DA050662; NIMH K08MH113039; NIMH R01 MH099647; NIMH U19MH114821; NINDS K99 NS116122; NSF EEC 1707298 |
PMID:34253927 | Free, Available for download, Freely available | https://github.com/neurodata/CloudReg/ | SCR_022795 | 2026-08-29 11:28:54 | 0 |
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