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| Resource Name | Proper Citation | Abbreviations | Resource Type |
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | research forum portal, disease-related portal, data or information resource, organization portal, laboratory portal, topical portal, 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 | 2026-07-28 09:40:31 | 3 | |||||
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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 | data or information resource, organization portal, consortium, 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 | NIH ; NIA ; NICHD ; NIDA |
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 | 2026-07-28 09:40:37 | 39 | |||||
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Mouse Phenome Database (MPD) Resource Report Resource Website 100+ mentions |
Mouse Phenome Database (MPD) (RRID:SCR_003212) | MPD | service resource, narrative resource, data or information resource, data repository, database, experimental protocol, 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 |
NIDA ; NHGRI HG003057; NHLBI HL66611; NIA AG025707; NIA AG038070; NIMH MH071984; NIDA DA028420 |
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 | 2026-07-28 09:40:38 | 221 | |||
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Michigan Molecular Interactions Resource Report Resource Website 1+ mentions |
Michigan Molecular Interactions (RRID:SCR_003521) | MiMI | service resource, data or information resource, data analysis service, database, data access protocol, software resource, production service resource, web service, analysis service resource | 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 | 2026-07-28 09:40:45 | 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 visualization software, software resource, software application, data processing software | 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 | 2026-07-28 09:40:42 | 1 | |||||
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miniTUBA Resource Report Resource Website |
miniTUBA (RRID:SCR_003447) | miniTUBA | analysis service resource, service resource, storage service resource, production 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 | 2026-07-28 09:40:48 | 0 | |||||
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Baby Open Brains Resource Report Resource Website |
Baby Open Brains (RRID:SCR_027836) | data or information resource, data set | Open source resource of manually curated and expert reviewed infant brain segmentations hosted on OpenNeuro.org. and OSF.io. Anatomical MRI data was segmented from 71 infant imaging visits across 51 participants, using both T1w and T2w images per visit. Images showed dramatic differences in myelination and intensities across 1–9 months, emphasizing the need for densely sampled gold-standard segmentations across early life. This dataset provides a benchmark for evaluating and improving pipelines dependent upon segmentations in the youngest populations. As such, this dataset provides a vitally needed foundation for early-life large-scale studies such as HBCD. | MRI, image, dataset of infant brain segmentations, infant brain, brain segmentation, manually curated infant brain segmentations, | uses: OpenNeuro | Bill & Melinda Gates Foundation ; NIMH R01 MH104324; NIMH U01 MH110274; NINDS T32 NS109604; NIDA U01DA041148; NIDA U24DA055330; NIMH R01MH096773; NIMH R01MH125829; NIMH R37MH125829 |
PMID:40813378 | Free, Freely available, | SCR_027836 | , BOBs, Baby Open Brains (BOBs) Dataset | 2026-07-27 09:38:00 | 0 | |||||||
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GeneNetwork Resource Report Resource Website 100+ mentions |
GeneNetwork (RRID:SCR_002388) | GeneNetwork, WebQTL | service resource, data or information resource, data repository, database, 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 |
NIGMS R01 GM123489; NIAAA U01 AA016662; NIAAA U01 AA13499; NIAAA U24 AA13513; NIAAA U01 AA014425; NIA R01 AG043930; NIDA P20 DA21131; NCI U01 CA105417; NCRR U24 RR021760 |
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 | 2026-07-28 09:40:24 | 473 | |||||
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VoxBo Resource Report Resource Website 10+ mentions |
VoxBo (RRID:SCR_002166) | VoxBo | software application, software resource, data processing software, image processing software, image analysis software | 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 | 2026-07-28 09:40:34 | 13 | ||||
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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 | service resource, disease-related portal, data or information resource, data repository, storage service resource, topical portal, 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 | 2026-07-28 09:40:02 | 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 | 2026-07-28 09:40:05 | 0 | ||||||
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YPED Resource Report Resource Website 1+ mentions |
YPED (RRID:SCR_001436) | YPED | service resource, data or information resource, data repository, database, 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 | 2026-07-28 09:40:16 | 4 | ||||
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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, report, narrative resource | 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 | 2026-07-28 09:41:40 | 0 | |||||||
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Lyngby Resource Report Resource Website 1+ mentions |
Lyngby (RRID:SCR_007143) | Lyngby | software application, software resource, data analysis software, data processing software | Matlab toolbox for the analysis of functional neuroimages (PET, fMRI). The toolbox contains a number of models: FIR-filter, Lange-Zeger, K-means clustering among others, visualizations and reading of neuroimaging files. | functional, statistical, fmri, pet, matlab, neuroimaging |
is listed by: Biositemaps has parent organization: THOR Center for Neuroinformatics |
Human Brain Project ; Danish Research Council ; European Union ; BIOMED2 ; MAPAWAMO ; NASA ; NSF ; DOE ; NIDA R01 DA09246; NIMH P20 MH57180 |
Free, Non-commercial | nif-0000-00324 | SCR_007143 | Lyngby Toolbox, Lyngby - A Toolbox for Functional Neuroimaging | 2026-07-28 09:41:52 | 2 | ||||||
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Mouse Thalamic Projectome Dataset Resource Report Resource Website |
Mouse Thalamic Projectome Dataset (RRID:SCR_015702) | data or information resource, data set | Data set of thalamo-centric mesoscopic projection maps to the cortex and striatum. The maps are established through two-color, viral (rAAV)-based tracing images and high throughout imaging. | jpeg image data set, projection map, thalamocortical map, viral (rAAV)-based tracing, thalamo-centric mesoscopic projection map | NIH DP2 OD008425; NINDS R01 NS081071; NIDDK T32 DK007680; NINDS P30 NS069305; NIDA R01 DA008163; NINDS U01 NS094247 |
PMID:25086607 PMID:27892854 |
Free | https://github.com/BJHunnicutt/anatomy | SCR_015702 | 2026-07-27 09:35:05 | 0 | ||||||||
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ABCD Study Resource Report Resource Website 500+ mentions |
ABCD Study (RRID:SCR_015769) | ABCD | data or information resource, data set | Long-term study of brain development and child health in the United States. The study tracks subjects' biological and behavioral development through adolescence into young adulthood to determine how childhood experiences (such as sports, videogames, social media, unhealthy sleep patterns, and smoking) interact with each other and with a child’s changing biology to affect brain development and social, behavioral, academic, health, and other outcomes. | clinical study, adolescent, development, research, neuroimaging, brain development |
is related to: DEAP - Data Exploration and Analysis Portal works with: geocoding |
NIDA U24 DA041123; NIDA U24 DA041147; NIDA U01 DA041120; NIDA U01 DA041022; NIDA U01 DA041025; NIDA U01 DA041093; NIDA U01 DA041028; NIDA U01 DA041048; NIDA U01 DA041106; NIDA U01 DA041134; NIDA U01 DA041148; NIDA U01 DA041156; NIDA U01 DA041174; NIDA U24DA041123; NIDA U01 DA041117 |
PMID:29051027 | Available to the scientific community | SCR_015769 | The Adolescent Brain Cognitive Development Study | 2026-07-27 09:35:07 | 670 | ||||||
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NIDA Podcasts Resource Report Resource Website |
NIDA Podcasts (RRID:SCR_005660) | NIDA Podcasts | data or information resource, podcast, narrative resource | Audio clips that highlight research efforts at the National Institute on Drug Abuse and include interviews with prominent NIDA scientists. To listen to these clips, just click Listen Now under the clip summary. You must have Real Media Player or Windows Media Player installed to download these clips. To view a printable transcript of a clip, click View Transcript under the clip summary. | drug abuse, transcript | has parent organization: National Institute on Drug Abuse | NIDA | All of these clips are free from copyright and can be used for broadcast or other use with acknowledgement of the National Institute on Drug Abuse. | nlx_149377 | SCR_005660 | 2026-07-28 09:41:27 | 0 | |||||||
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Pediatric Imaging Neurocognition and Genetics Resource Report Resource Website 50+ mentions |
Pediatric Imaging Neurocognition and Genetics (RRID:SCR_008953) | PING | data or information resource, database | A large multi-site pediatric MRI and genetics data resource to facilitate studies of the genomic landscape of the developing human brain. It includes information about the developing mental and emotional functions of the children to understand the genetic basis of individual differences in brain structure and connectivity, cognition, and personality. Investigators on the project are studying 1400 children between the ages of 3 and 20 years so that links between genetic variation and developing patterns of brain connectivity can be examined. Investigators interested in the effects of a particular gene will be able to search the database for any brain areas or connections between areas that differ as a function of variation in a particular gene, and also to determine if the genes appear to affect the course of brain development at some point during childhood. A data exploration tool has been created for mapping and analyzing MRI data sets collected for PING and related developmental studies. Approved investigators will be able to view raw image sets and derived 3D brain maps of MRI and DTI data, conduct hypothesis testing, and graph brain area measures as they change across the time course of development. PING Cores * Coordinating Core: Functions include project management, screening of participants and maintaining the database * Neuroimaging Core: applying a standardized high-resolution structural MRI protocol involving 3-D T1-weighted scans, a T2-weighted volume, and a set of diffusion-weighted scans with multiple b values and diffusion directions, scans to estimate MRI relaxation rates, and gradient echo EPI scans for resting state fMRI. Importantly, adaptive motion compensation, using ����??PROMO����??, a novel real-time motion correction algorithm will be used. Specific PING protocols for each scanner manufacturer: ** PING MRI Protocol - GE ** PING MRI Protocol - Philips ** PING MRI Protocol - Siemens * Assessment Core: Cognitive assessments for the PING project are conducted using the NIH Toolbox for Cognition. * Genomics Core: functions as a central repository for receipt of saliva samples collected for each study participant. Once received, samples are catalogued, maintained, and DNA is extracted using state-of-the-field laboratory techniques. Ultimately, genome-wide genotyping is performed on the extracted DNA using the Illumina Human660W-Quad BeadChip. PING involves 10 sites throughout the country including UCSD, University of Hawaii, Scripps Genomics, UCLA, UC Davis, Kennedy Krieger Institute/Johns Hopkins, Sacker Institute/Cornell University, University of Massachusetts, Massachusetts General Hospital/Harvard, and Yale. Families who may want to participate in the study, or others who want to know more about it, may email questions to ping (at) ucsd.edu. | pediatric, neuroimaging, genetics, child, early adult human, adolescent, genetic variant, magnetic resonance imaging, brain, gene, brain structure, connectivity, function, brain development, cognition, experimental protocol, saliva, dna, diffusion tensor imaging, image, genotype, dicom, imaging genomics, magnetic resonance, nifti, FASEB list |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: NIH Toolbox - Assessment of Neurological and Behavioral Function has parent organization: University of California at San Diego; California; USA has parent organization: Multimodal Imaging Laboratory |
NIDA ; ARRA ; NICHD |
Data Use Agreement required. | nlx_151904 | http://www.nitrc.org/projects/ping | http://ping.chd.ucsd.edu/ | SCR_008953 | PING Study, Pediatric Imaging Neurocognition and Genetics (PING) | 2026-07-28 09:42:25 | 76 | ||||
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OKCAM: Ontology-based Knowledgebase for Cell Adhesion Molecules Resource Report Resource Website |
OKCAM: Ontology-based Knowledgebase for Cell Adhesion Molecules (RRID:SCR_010696) | OKCAM | data or information resource, database, knowledgebase | OKCAM (Ontology-based Knowledgebase for Cell Adhesion Molecules) is an online resource for human genes known or predicted to be related to the processes of cell adhesion. These genes include members of the cadherin, immunoglobulin/FibronectinIII (IgFn), integrin, neurexin, neuroligin, and catenin families. Totally 496 human CAM genes were compiled and annotated. We have mapped these genes onto a novel cell adhesion molecule ontology (CAMO) that provides a hierarchical description of cell adhesion molecules and their functions. It is intended to provide a means to facilitate better and better understanding of the global and specific properties of CAMs through their genomic features, regulatory modes, expression patterns and disease associations become clearer. You may browse by CAM ontology, Chromosomes and Full Gene list. | cell adhesion molecule, gene, cell adhesion, molecule, cadherin, immunoglobulin, fibronectiniii, integrin, neurexin, neuroligin, catenin, chromosome |
has parent organization: Peking University; Beijing; China is parent organization of: CAMO - Cell Adhesion Molecule Ontology |
China Scholarship Council ; NCI P50CA/DA84718; NIDA P50CA/DA84718; China National High-tech 863 Programs 2006AA02A312; China National High-tech 863 Programs 2006AA02Z334; China National High-tech 973 Programs 2007CB946904 |
PMID:18790807 | nlx_81469 | SCR_010696 | OKCAM: Ontology-based Knowledgebase for Human Cell Adhesion Molecules | 2026-07-28 09:42:51 | 0 | ||||||
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NeuroPedia Resource Report Resource Website 10+ mentions |
NeuroPedia (RRID:SCR_001551) | NeuroPedia | data or information resource, database | A neuropeptide encyclopedia of peptide sequences (including genomic and taxonomic information) and spectral libraries of identified MS/MS spectra of homolog neuropeptides from multiple species. | proteomics, peptide, neuropeptide, mass spectrometry assay, peptide sequence, spectrum, homolog | has parent organization: Center for Computational Mass Spectrometry | NCRR P41-RR024851; NIDA 5K01DA23065; NINDS R01 NS24553; NIDA R01 DA04271; NIMH R01 MH077305; NHLBI P01 HL58120 |
PMID:21821666 | Free, Freely available | nlx_152894 | SCR_001551 | NeuroPedia: Neuropeptide database and spectra library | 2026-07-28 09:40:13 | 12 |
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