Searching the RRID Resource Information Network
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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Criminal Justice Drug Abuse Treatment Studies Resource Report Resource Website |
Criminal Justice Drug Abuse Treatment Studies (RRID:SCR_006996) | CJ-DATS, CJDATS | knowledge environment | A cooperative research program to explore the issues related to the complex system of offender treatment services. Nine research centers and a Coordinating Center were created in partnership with researchers, criminal justice professionals, and drug abuse treatment practitioners to form a national research infrastructure. The establishment of CJ-DATS is an outstanding example of cooperation among Federal agencies with the research community... We need to understand how to provide better drug treatment services for criminal justice offenders to alter their drug use and criminal behavior. - Dr. Nora Volkow, Director of NIDA. CJ-DATS PHASE I In 2002, NIDA launched the National Criminal Justice����������Drug Abuse Treatment Studies (CJ-DATS). CJ-DATS is a multisite research program aimed at improving the treatment of offenders with drug use disorders and integrating criminal justice and public health responses to drug involved offenders. From 2002 through 2008, CJ-DATS researchers from 9 research centers, a coordinating center, and NIDA worked together with federal, state, and local criminal justice partners to develop and test integrated approaches to the treatment of offenders with drug use disorders. The areas that were studied included: * Assessing Offender Problems * Measuring Progress in Treatment and Recovery * Linking Criminal Justice and Drug Abuse Treatment * Adolescent Interventions * HIV and Hepatitis Risk Reduction * Understanding Systems CJ-DATS PHASE II In 2008, CJ-DATS began to focus on the problems of implementing research-based practices drug treatment practices. This research concerns the organizational and systems processes involved in implementing valid, evidence-based practices to reduce drug use and drug-related recidivism for individuals in the criminal justice system. 12 CJ-DATS Research Centers are conducting implementation research in three primary domains: * Research to improve the implementation of evidence-based assessment processes for offenders with drug problems * Implementing effective treatment for drug-involved offenders * Implementing evidence-based interventions to improve an HIV continuum-of-care for offenders | drug, aids, criminal, health, hiv, offender, treatment, justice, drug abuse, drug treatment service, criminal justice offender, drug use, criminal behavior, recovery, adolescent, intervention, hepatitis |
is related to: NIDA Networking Project: Facilitating information exchange and research collaboration has parent organization: National Institute on Drug Abuse |
Drug use disorder | NIDA | nif-0000-10202 | SCR_006996 | Criminal Justice-Drug Abuse Treatment Studies | 2026-02-07 02:07:17 | 0 | ||||||
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JAX Animal Behavior System Resource Report Resource Website |
JAX Animal Behavior System (RRID:SCR_023721) | JABS | software resource | Video based phenotyping platform for laboratory mouse. Provides complete details of software and hardware, including 3D designs used for data collection. Data acquisition system consists of video collection hardware and software, behavior labeling and active learning app, and online database for sharing classifiers. Hardware and software solution collects high quality data for behavior analysis. | OpenBehavior, data acquisition system, integrated mouse phenotyping platform, behavior analysis, | is listed by: OpenBehavior | Jackson Laboratory Directors Innovation Fund ; NIDA DA041668; NIDA DA048634 |
DOI:10.1101/2022.01.13.476229 | Free, Available for download, Freely available | SCR_023721 | 2026-02-07 02:12:15 | 0 | |||||||
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Antibody Watch Resource Report Resource Website |
Antibody Watch (RRID:SCR_027424) | knowledge base | Text mining antibody specificity from literature. Helps researchers identify potential problems with antibody specificity. By mining the scientific literature and linking findings to Research Resource Identifiers (RRIDs), it provides alerts on antibodies that may yield unreliable results, supporting reproducibility in biomedical research. | Text mining antibody specificity, identify potential problems with antibody specificity, identify potential problems, antibody specificity, antibody, scientific literature, | Ministry of Science and Technology ; Taiwan ; NIDDK U24DK097771; NIDA U24DA039832 |
PMID:34043624 | Free, Freely available | SCR_027424 | 2026-02-07 02:18:10 | 0 | |||||||||
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redcap-importer Resource Report Resource Website |
redcap-importer (RRID:SCR_016032) | data acquisition software, software application, software resource, data processing software | Software that automates the process of retrieving and converting data to the format of a RedCap table and allows selection of directories and files for import. | automate, process, retrvinig, converting, data, format, research, electronic, data, capture, table, selection, directory, import | is related to: University of California at San Diego; California; USA | NIDA U24 DA041123 | Free, Available for download | SCR_016032 | 2026-02-11 10:59:22 | 0 | |||||||||
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Integrated Auto-Extracted Annotation Resource Report Resource Website |
Integrated Auto-Extracted Annotation (RRID:SCR_005892) | Integrated AEA, Auto-Extracted Annotation | data or information resource, data set | A virtual database that indexes both BioNOT for negation data, and the Resource Discovery Pipeline: an automated resource discovery and semi-automated type characterization with text-mining scripts that facilitate curation team efforts to discover, integrate and display new content. This virtual database currently indexes the following resources: * BioNOT, http://snake.ims.uwm.edu/bionot/index.php?searchterm=mecp2+autism&submit=Search * Resource Discovery Pipeline, http://lucene1.neuinfo.org/nif_resource/current/ | annotation, negative data |
is used by: NIF Data Federation is related to: BioNOT is related to: NIF Registry Automated Crawl Data is related to: PubMed has parent organization: Integrated |
NIH Blueprint for Neuroscience Research ; NIDA Contract HHSN271200577531C |
PMID:22434839 | Data are licensed by their respective owners. Use and distribution is subject to the Terms of Use by the original resource as well as the, Creative Commons Attribution License | nlx_149462 | http://neuinfo.org/nif/nifgwt.html?query=nlx_149462 | SCR_005892 | NIF Integrated Automatically Extracted Annotation, NIF Integrated Auto. Extracted Annotation, NIF Integrated Auto-Extracted Annotation, Integrated Automatically Extracted Annotation, Integrated Auto Extracted Annotation, NIF Auto-Extracted Annotation | 2026-02-11 10:57:16 | 0 | ||||
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MIALAB - Resting State Data Resource Report Resource Website 10+ mentions |
MIALAB - Resting State Data (RRID:SCR_008914) | data or information resource, data set | An MRI data set that demonstrates the utility of a mega-analytic approach by identifying the effects of age and gender on the resting-state networks (RSNs) of 603 healthy adolescents and adults (mean age: 23.4 years, range: 12-71 years). Data were collected on the same scanner, preprocessed using an automated analysis pipeline based in SPM, and studied using group independent component analysis. RSNs were identified and evaluated in terms of three primary outcome measures: time course spectral power, spatial map intensity, and functional network connectivity. Results revealed robust effects of age on all three outcome measures, largely indicating decreases in network coherence and connectivity with increasing age. Gender effects were of smaller magnitude but suggested stronger intra-network connectivity in females and more inter-network connectivity in males, particularly with regard to sensorimotor networks. These findings, along with the analysis approach and statistical framework described, provide a useful baseline for future investigations of brain networks in health and disease. | fmri, functional connectivity, resting-state, independent component analysis, connectome, adolescent, adult, mri, resting state network, connectivity, dataset | has parent organization: MIALAB - Medical Image Analysis Lab | Aging | NRC Bilatgrunn ; NIBIB 1R01-EB006841; NIBIB 1R01- EB005846; NIBIB 2R01-EB000840; NIBIB 1 P20 RR021938-01; DOE DE-FG02-08ER64581; NIMH 1R01-MH072681-01; John Templeton Foundation grant 12456; NIAAA 1P20 AA017068; NINDSR21NS064464 ; NIDA1 R03 DA022435-01A1 ; NIDA1 R03 DA024212-01A1 ; NIDA KO1-DA021632-02 |
PMID:21442040 | nlx_151552 | SCR_008914 | Medical Image Analysis Laboratory - Resting State Data, MIA Laboratory - Resting State Data, Medical Image Analysis Lab - Resting State Data, Medical Image Analysis (MIA) Laboratory - Resting State Data | 2026-02-11 10:57:56 | 10 | ||||||
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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) | 2026-02-11 10:57:53 | 76 | ||||
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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 | 2026-02-11 10:59:17 | 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 | 2026-02-11 10:59:14 | 670 | ||||||
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PolymiRTS Resource Report Resource Website 100+ mentions |
PolymiRTS (RRID:SCR_003389) | PolymiRTS | data or information resource, database | Database of naturally occurring DNA variations in microRNA (miRNA) seed regions and miRNA target sites. MicroRNAs pair to the transcripts of protein-coding genes and cause translational repression or mRNA destabilization. SNPs and INDELs in miRNAs and their target sites may affect miRNA-mRNA interaction, and hence affect miRNA-mediated gene repression. The PolymiRTS database was created by scanning 3'UTRs of mRNAs in human and mouse for SNPs and INDELs in miRNA target sites. Then, the potential downstream effects of these polymorphisms on gene expression and higher-order phenotypes are identified. Specifically, genes containing PolymiRTSs, cis-acting expression QTLs, and physiological QTLs in mouse and the results of genome-wide association studies (GWAS) of human traits and diseases are linked in the database. The PolymiRTS database also includes polymorphisms in target sites that have been supported by a variety of experimental methods and polymorphisms in miRNA seed regions. | polymorphism, microrna, human, disease, trait, snp, indel, pathway, genetic variant, gene expression, phenotype, chromosome, chromosome location, bio.tools, FASEB list |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian has parent organization: University of Tennessee Health Science Center; Tennessee; USA |
PhRMA Foundation ; UT Center for Integrative and Translational Genomics ; NICHD HD052472; NIAAA AA014425; NIDA DA021131; NINR NR009270; NIAID AI081050; NIAID AI019782; American Heart Association 0830134N; United States Department of Defense W81XHW-05-01-0227 |
PMID:24163105 PMID:22080514 |
Free, Available for download, Freely available | nif-0000-03324, biotools:polymirts, OMICS_00391 | https://bio.tools/polymirts | http://compbio.utmem.edu/miRSNP/ | SCR_003389 | Polymorphism in microRNA Target Site, PolymiRTS Database, Polymorphism in microRNAs and their TargetSites | 2026-02-11 10:56:43 | 149 | |||
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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 | 2026-02-11 10:56:15 | 12 | |||||
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NIF Registry Automated Crawl Data Resource Report Resource Website 1+ mentions |
NIF Registry Automated Crawl Data (RRID:SCR_012862) | NIF Registry Automated Crawl Data, RDP | data or information resource, data set | An automatic pipeline based on an algorithm that identifies new resources in publications every month to assist the efficiency of NIF curators. The pipeline is also able to find the last time the resource's webpage was updated and whether the URL is still valid. This can assist the curator in knowing which resources need attention. Additionally, the pipeline identifies publications that reference existing NIF Registry resources as this is also of interest. These mentions are available through the Data Federation version of the NIF Registry, http://neuinfo.org/nif/nifgwt.html?query=nlx_144509 The RDF is based on an algorithm on how related it is to neuroscience. (hits of neuroscience related terms). Each potential resource gets assigned a score (based on how related it is to neuroscience) and the resources are then ranked and a list is generated. | resource, mention, update |
is used by: NIF Data Federation is used by: Integrated Datasets is related to: PubMed Central is related to: Integrated Auto-Extracted Annotation is related to: Integrated Manually Extracted Annotation is related to: PubMed has parent organization: Neuroscience Information Framework |
U.S. Department of Health and Human Services ; NIH Blueprint for Neuroscience Research ; NIDA contract HHSN27120080035C |
PMID:22434839 | Individual resources within the data set are licensed by the respective owners. The data set of these resources is freely available for use and distribution by you subject to citation of NIF in accordance with the Creative Commons Attribution License. | nlx_144525 | http://lucene1.neuinfo.org/nif_resource/current/ | SCR_012862 | Resource Discovery Pipeline | 2026-02-11 10:58:39 | 2 | ||||
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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 | 2026-02-11 11:01:37 | 0 | |||||||
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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 repository, service resource, topical portal, storage service resource, disease-related portal, data or information resource, 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 | 2026-02-12 09:43:00 | 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) | data or information resource, database, bibliography | 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 | 2026-02-12 09:43:01 | 0 | ||||||
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YPED Resource Report Resource Website 1+ mentions |
YPED (RRID:SCR_001436) | YPED | data repository, service resource, storage service resource, database, data or information 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 | 2026-02-12 09:43:09 | 4 | ||||
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VoxBo Resource Report Resource Website 10+ mentions |
VoxBo (RRID:SCR_002166) | VoxBo | software resource, software application, 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 | 2026-02-12 09:43:18 | 13 | ||||
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GeneNetwork Resource Report Resource Website 100+ mentions |
GeneNetwork (RRID:SCR_002388) | GeneNetwork, WebQTL | data repository, service resource, storage service resource, database, data or information 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 | 2026-02-12 09:43:21 | 473 | |||||
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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 | training material, topical portal, narrative resource, disease-related portal, data or information resource, portal | 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 | 2026-02-12 09:43:27 | 3 | ||||||
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Macaque.org Resource Report Resource Website 1+ mentions |
Macaque.org (RRID:SCR_002767) | Macaque.org | organization portal, topical portal, research forum portal, disease-related portal, data or information resource, portal, laboratory 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 | 2026-02-12 09:43:27 | 3 |
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