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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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PennCNV Resource Report Resource Website 100+ mentions |
PennCNV (RRID:SCR_002518) | PennCNV | software resource | A free software tool for Copy Number Variation (CNV) detection from SNP genotyping arrays. Currently it can handle signal intensity data from Illumina and Affymetrix arrays. With appropriate preparation of file format, it can also handle other types of SNP arrays and oligonucleotide arrays. PennCNV implements a hidden Markov model (HMM) that integrates multiple sources of information to infer CNV calls for individual genotyped samples. It differs form segmentation-based algorithm in that it considered SNP allelic ratio distribution as well as other factors, in addition to signal intensity alone. In addition, PennCNV can optionally utilize family information to generate family-based CNV calls by several different algorithms. Furthermore, PennCNV can generate CNV calls given a specific set of candidate CNV regions, through a validation-calling algorithm. | imaging genomics, copy number variation, snp, genotyping array, array, oligonucleotide, hidden markov model, genotype, genome |
is listed by: OMICtools is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: VegaMC is related to: OpenBioinformatics.org has parent organization: University of Pennsylvania; Philadelphia; USA |
NIMH MH604687 | PMID:17921354 | Free | OMICS_00729, nlx_155921 | http://www.openbioinformatics.org/penncnv/ |
http://www.neurogenome.org/cnv/penncnv | SCR_002518 | PennCNV: copy number variation detection | 2026-08-08 11:57:42 | 372 | |||
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MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia Resource Report Resource Website 1+ mentions |
MATRICS - Measurement And Treatment Research to Improve Cognition in Schizophrenia (RRID:SCR_005644) | MATRICS | knowledge environment | Cognitive deficits -- including impairments in areas such as memory, attention, and executive function -- are a major determinant and predictor of long-term disability in schizophrenia. Unfortunately, available antipsychotic medications are relatively ineffective in improving cognition. Scientific discoveries during the past decade suggest that there may be opportunities for developing medications that will be effective for improving cognition in schizophrenia. The NIMH has identified obstacles that are likely to interfere with the development of pharmacological agents for treating cognition in schizophrenia. These include: (1) a lack of a consensus as to how cognition in schizophrenia should be measured; (2) differing opinions as to the pharmacological approaches that are most promising; (3) challenges in clinical trial design; (4) concerns in the pharmaceutical industry regarding the US Food and Drug Administration''s (FDA) approaches to drug approval for this indication; and (5) issues in developing a research infrastructure that can carry out clinical trials of promising drugs. The MATRICS program will bring together representatives of academia, industry, and government in a consensus process for addressing all of these obstacles. Specific goals of the NIMH MATRICS are: * To catalyze regulatory acceptance of cognition in schizophrenia as a target for drug registration. * To promote development of novel compounds to enhance cognition in schizophrenia. * Leverage economic research power of industry to focus on important but neglected clinical targets. * Identify lead compounds and if deemed feasible, support human proof of concept trials for cognition in schizophrenia. | schizophrenia, cognitive deficit, memory, attention, executive function, disability, cognition, clinical | has parent organization: University of California at Los Angeles; California; USA | Schizophrenia | NIMH | nlx_146271 | SCR_005644 | Measurement And Treatment Research to Improve Cognition in Schizophrenia, Measurement Treatment Research to Improve Cognition in Schizophrenia | 2026-08-08 11:58:44 | 6 | ||||||
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GOEx - Gene Ontology Explorer Resource Report Resource Website 10+ mentions |
GOEx - Gene Ontology Explorer (RRID:SCR_005779) | GOEx | software resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented July 5, 2018. Gene Ontology Explorer (GOEx) combines data from protein fold changes with GO over-representation statistics to help draw conclusions in proteomic experiments. It is tightly integrated within the PatternLab for Proteomics project and, thus, lies within a complete computational environment that provides parsers and pattern recognition tools designed for spectral counting. GOEx offers three independent methods to query data: an interactive directed acyclic graph, a specialist mode where key words can be searched, and an automatic search. A recent hack included in GOEx is to load the sparse matrix index file directly into GOEx, instead of going through the report generation using the AC/T-fold methods. This makes it easy for GOEx to analyze any list of proteins as long as the list follows the index file format (described in manuscript) . Please note that if using this alternative strategy, there will be no protein fold information. Platform: Windows compatible | proteomics, visualization, statistical analysis, gene ontology, parse, pattern recognition, spectral counting, analysis, protein fold |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Scripps Research Institute |
CNPq ; CAPES ; FAPERJ BBP grant ; PAPES ; PDTIS ; Ary Frauzino Foundation ; NIAID ; NIH ; genesis molecular biology laboratory ; Fiocruz-INCA collaboration ; NIAID UCSD/MCB0237059; NCRR P41RR011823; NIMH 5R01 MH067880 |
PMID:19239707 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149249 | http://pcarvalho.com/patternlab/goex.shtml | SCR_005779 | Gene Ontology Explorer, GO Explorer | 2026-08-08 11:58:37 | 32 | ||||
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ABIDE Resource Report Resource Website 100+ mentions |
ABIDE (RRID:SCR_003612) | ABIDE | data or information resource, data set | Resting state functional magnetic resonance imaging (R-fMRI) datasets from 539 individuals with autism spectrum disorder (ASD) and 573 typical controls. This initiative involved 16 international sites, sharing 20 samples yielding 1112 datasets composed of both MRI data and an extensive array of phenotypic information common across nearly all sites. This effort is expected to facilitate discovery science and comparisons across samples. All datasets are anonymous, with no protected health information included. | phenotype, resting state functional magnetic resonance imaging, mri, image, fmri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: 1000 Functional Connectomes Project has parent organization: NeuroImaging Tools and Resources Collaboratory (NITRC) |
Autism spectrum disorder, Normal | Leon Levy Foundation ; Joseph P. Healy ; Stavros Niarchos Foundation ; NIMH K23MH087770; NIMH R03MH096321 |
Account required, Creative Commons Attribution-NonCommercial-ShareAlike License, v3 | nlx_157761 | SCR_003612 | Autism Brain Imaging Data Exchange | 2026-08-08 12:05:48 | 227 | |||||
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Open Ephys: Pulse Pal Resource Report Resource Website 1+ mentions |
Open Ephys: Pulse Pal (RRID:SCR_017203) | instrument resource | Open source pulse train generator that allows users to create and trigger software defined trains of voltage pulses with high temporal precision. Generates precisely timed pulse sequences for use in research involving electrophysiology or psychophysics. | instrument, generator, stimulation, voltage, puls, sequence, electrophysiology, psychophysics | NINDS R01 NS07553; NIMH R01 MH097061; McKnight Foundation |
DOI:10.3389/fneng.2014.00043 | Available for purchase | https://sanworks.io/shop/viewproduct?productID=1102, https://github.com/sanworks/PulsePal, https://sites.google.com/site/pulsepalwiki/specifications?authuser=0 | SCR_017203 | Pulse Pal v2 | 2026-08-08 12:00:47 | 2 | |||||||
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Limited Access Datasets From NIMH Clinical Trials Resource Report Resource Website 1+ mentions |
Limited Access Datasets From NIMH Clinical Trials (RRID:SCR_005614) | Limited Access Datasets From NIMH Clinical Trials | data or information resource, data set | A listing of data sets from NIMH-supported clinical trials. Limited Access Datasets are available from numerous NIMH studies. NIMH requires all investigators seeking access to data from NIMH-supported trials held by NIMH to execute and submit as their request the appropriate Data Use Certification pertaining to the trial. The datasets distributed by NIMH are referred to as limited access datasets because access is limited to qualified researchers who complete Data Use Certifications. | clinical trial, mental health, child |
uses: ClinicalTrials.gov uses: Sequenced Treatment Alternatives to Relieve Depression Study uses: CATIE - Clinical Antipsychotic Trials in Intervention Effectiveness uses: CATIE - Alzheimers Disease uses: Systematic Treatment Enhancement Program for Bipolar Disorder (STEP-BD) uses: TADS - Treatment for Adolescents with Depression Study uses: Treatment of SSRI-resistant Depression in Adolescents (TORDIA) is listed by: re3data.org has parent organization: NIMH Clinical Trials |
Depressive Disorder, Attention deficit-hyperactivity disorder, Autism Spectrum Disorder, Bipolar Disorder, Alzheimer's disease, Anxiety, Schizophrenia, Pervasive Development Disorder | NIMH | Approval required, Data Use Certification required | nlx_146232 | http://www.nimh.nih.gov/funding/clinical-trials-for-researchers/datasets/ | http://www.nimh.nih.gov/trials/datasets/nimh-procedures-for-requesting-data-sets.shtml, http://www.nimh.nih.gov/health/trials/datasets/ | SCR_005614 | Available Limited Access Datasets From NIMH Clinical Trials | 2026-08-08 12:05:50 | 1 | |||
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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 | 2026-08-08 12:05:54 | 10 | ||||||
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NYU Institute for Pediatric Neuroscience Sample Resource Report Resource Website |
NYU Institute for Pediatric Neuroscience Sample (RRID:SCR_010458) | NYU IPN Sample, NYUIQ | data or information resource, data set | Datasets including a collection of scans from 49 psychiatrically evaluated neurotypical adults, ranging in age from 6 to 55 years old, with age, gender and intelligence quotient (IQ) information provided. Future releases will include more comprehensive phenotypic information, and child and adolescent datasets, as well as individuals from clinical populations. The following data are released for every participant: * At least one 6-minute resting state fMRI scan (R-fMRI) * * One high-resolution T1-weighted mprage, defaced to protect patient confidentiality * Two 64-direction diffusion tensor imaging scans * Demographic information (age, gender) and IQ-measures (Verbal, Performance, and Composite; Weschler Abbreviated Scale of Intelligence - WASI) * Most participants have 2 R-fMRI scans, collected less than 1 hour apart in the same scanning session. Rest_1 is always collected first. | adult human, young human, intelligence quotient, child, adolescent, clinical, resting state fmri, t1-weighted, mprage, diffusion tensor imaging, fsiq, viq, piq, neuroimaging, brain, image collection |
has parent organization: 1000 Functional Connectomes Project has parent organization: New York University; New York; USA |
Neurotypical, Aging | Autism Speaks ; Stavros Niarchos Foundation ; Leon Levy Foundation ; Phyllis Green and Randolph Cwen ; NIMH R01MH083246 |
Creative Commons Attribution-NonCommercial License | nlx_157644 | SCR_010458 | NYU Phyllis Green and Randolph Cwen Institute for Pediatric Neuroscience Sample | 2026-08-08 12:06:08 | 0 | |||||
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ezBIDS Resource Report Resource Website 1+ mentions |
ezBIDS (RRID:SCR_025563) | web application, software resource | Web-based BIDS conversion tool to convert neuroimaging data and associated metadata to BIDS standard. Guided standardization of neuroimaging data interoperable with major data archives and platforms. | Guided standardization, neuroimaging data, Brain Imaging Data Structure, BIDS conversion tool, convert neuroimaging data, associated metadata, interoperable, BIDS standard, | NINDS UM1NS132207; BRAIN CONNECTS ; NIBIB R01EB029272; NIBIB R01EB030896; NSF ; Kavli Foundation ; Wellcome Trust ; NIMH R01MH133701; Spanish Government |
PMID:38332144 | Free, Freely available | https://brainlife.io/ezbids/, | SCR_025563 | ez Brain Imaging Data Structure | 2026-08-08 12:07:26 | 1 | |||||||
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Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas Resource Report Resource Website 1+ mentions |
Enhanced and Unified Anatomical Labeling for Common Mouse Brain Atlas (RRID:SCR_019267) | data or information resource, atlas | Website to visualize and share anatomical labels. Franklin and Paxinos (FP) based anatomical labels in Allen Common Coordinate Framework (CCF). Cell type specific transgenic mice and MRI atlas were used to adjust and further segment labels. New segmentations were created in dorsal striatum using cortico-striatal connectivity data. Anatomical labels were digitized based on Allen ontology, and web-interface was created for easy visualization. These labels provide resource to isolate and identify mouse brain anatomical structures. Open source data sharing will facilitate further refinement of anatomical labels and integration of data interpretation within single anatomical platform. | Anatomical labels, Allen Common Coordinate Framework, Franklin and Paxinos labels, MRI atlas, segment labels, transgenic mice, dorsal striatum, cortico-striatal connectivity data, mouse brain anatomical structure |
is used by: BICCN is related to: Allen Institute for Brain Science |
NIMH R01 MH116176; NINDS R01 NS10 8407; Pennsylvania Department of Health ; NIH Office of the Director R24 OD018559 |
PMID:31699990 | Free, Freely available | SCR_019267 | 2026-08-09 09:07:50 | 2 | ||||||||
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EPMBA.ORG: Electronic Prenatal Mouse Brain Atlas Resource Report Resource Website 1+ mentions |
EPMBA.ORG: Electronic Prenatal Mouse Brain Atlas (RRID:SCR_001882) | EPMBA | data or information resource, atlas | The Electronic Prenatal Mouse Brain Atlas, EPMBA, at present consists of two sets of annotated images of coronal sections from Gestational Day (GD) 12 heads and GD 16 brains of C57BL/6J mice. Ten micron thick sections were stained with hematoxylin and eosin. Images were prepared at various resolutions for annotations and for high resolution presentation. A subset of sections were annotated and linked to anatomical terms. Additionally, horizontal sections of a GD 12 head were aligned and re-assembled into a 3D volume for digital sectioning in arbitrarily oblique planes. These images were captured using a Nikon E800 stereomicroscope with a 10X objective. The resolution is 1.35 pixels/micrometer. The PC program used to grab the images, Microbrightfield's Neurolucida (version 6), stitched together a mosaic of between 10 and 50 high-res images for each tissue slice, while the user focused the scope for each mosaic tile. Since the nature of optic lenses is to focus on one central point, it was difficult to obtain a uniformly-focused field of vision; as such, small areas of these images are blurred. Images were then transferred to a Macintosh and processed in Adobe Photoshop (version 7). Color levels were adjusted for maximum clarity of the tissue, and areas surrounding the tissue were cleared of artifacts. Each image is approximately 3350 pixels wide by 2650 pixels high. A scale bar with a length of 1350 pixels/mm is visible in the lower right-hand corner of each image. The annotations have been completed for the Atlas of Developing Mouse Brain Gestational (Embryonic) Day 12 (7/5/07) as well as the Atlas of Developing Mouse Brain Embryonic Day 16 (4/26/07). The 3D EPMBA data set has been mounted on a NeuroTerrain Atlas Server (NtAS). (6/27/07). | embryonic, brain, c57bl/6j, coronal, developing, developmental, gestational, head, horizontal sections, image, mouse, prenatal | has parent organization: East Tennessee State University; Tennessee; USA | Human Brain Project ; NIMH 263-MD-414639 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10452 | SCR_001882 | EPMBA.org, Electronic Prenatal Mouse Brain Atlas | 2026-08-09 09:03:18 | 1 | ||||||
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Mindboggle-101 atlases Resource Report Resource Website 10+ mentions |
Mindboggle-101 atlases (RRID:SCR_002439) | Mindboggle-101 | data or information resource, atlas | Complete set of free, publicly accessible, downloadable atlases, templates, and individual manually labeled brain image data, the largest collection of publicly available, manually labeled human brains in the world! http://journal.frontiersin.org/article/10.3389/fnins.2012.00171/full | clinical neuroinformatics, computational neuroscience, mgh/mgz, magnetic resonance, nifti, image collection | is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) | NIMH MH084029 | PMID:23227001 | Free, Freely available | nlx_155814 | http://www.nitrc.org/projects/mindboggle101 | SCR_002439 | Mindboggle-101 manually labeled brains | 2026-08-09 09:03:35 | 14 | ||||
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UNC Infant 0-1-2 Atlases Resource Report Resource Website 1+ mentions |
UNC Infant 0-1-2 Atlases (RRID:SCR_002569) | UNC Infant 0-1-2 Atlases | data or information resource, atlas | 3 atlases dedicated for neonates, 1-year-olds, and 2-year-olds. Each atlas comprises a set of 3D images made up of the intensity model, tissue probability maps, and anatomical parcellation map. These atlases are constructed with the help of state-of-the-art infant MR segmentation and groupwise registration methods, on a set of longitudinal images acquired from 95 normal infants (56 males and 39 females) at neonate, 1-year-old, and 2-year-old. | analyze, atlas application, linux, macos, microsoft, magnetic resonance, posix/unix-like, infant, pediatric, template, longitudinal, neonate, male, female, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill School of Medicine; North Carolina; USA |
Normal | NIH ; NIBIB EB006733; NIBIB EB008760; NIBIB EB008374; NIBIB EB009634; NIMH MH088520; NIMH MH070890; NIMH MH064065; NINDS NS055754; NICHD HD053000 |
PMID:21533194 | Free, Available for download, Freely available | nlx_155971 | http://www.nitrc.org/projects/pediatricatlas | SCR_002569 | UNC 0-1-2 Infant Atlases | 2026-08-09 09:03:31 | 2 | |||
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Guided Sparse Factor Analysis Resource Report Resource Website 1+ mentions |
Guided Sparse Factor Analysis (RRID:SCR_025023) | GSFA | software toolkit, software resource | Software R package that performs sparse factor analysis and differential gene expression discovery simultaneously on single cell CRISPR screening data. | sparse factor analysis, differential gene expression, discovery simultaneously, single cell CRISPR screening data, | NIMH R01MH110531; NHGRI R01HG010773; NIMH R01MH116281; NIGMS R01 GM126553; NHGRI R01 HG011883; NSF ; Sloan Research Fellowship |
PMID:37770710 | Free, Available for download, Freely available | SCR_025023 | 2026-08-09 09:09:09 | 1 | ||||||||
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3D Developmental Mouse Brain Common Coordinate Framework Resource Report Resource Website 1+ mentions |
3D Developmental Mouse Brain Common Coordinate Framework (RRID:SCR_025544) | data or information resource, atlas | Open access multimodal 3D atlases of developing mouse brain that can be used to integrate mouse brain imaging data for visualization, education, cell census mapping, and more. Atlas ages include E11.5, E13.5, E15.5, E18.5, P4, P14, and P56. Web platform can be utilized to visualize and explore the atlas in 3D. Downloadable atlas can be used to align multimodal mouse brain data. Morphologically averaged symmetric template brains serve as the basis reference space and coordinate system. Anatomical labels are manually drawn in 3D based on the prosomeric model. For additional references, the P56 template includes templates and annotations from the aligned Allen Mouse Brain Common Coordinate Framework (Allen CCFv3) and aligned Molecular Atlas of the Adult Mouse Brain. | multimodal 3D atlases, developing mouse brain, mouse brain data, |
is related to: Allen Mouse Brain Common Coordinate Framework is organization facet of: BRAIN Initiative |
NIMH RF1MH12460501; NINDS R01NS108407; NIMH R01MH116176; NIBIB R01EB031722 |
PMID:37745386 | Free, Freely available | SCR_025544 | DevCCF | 2026-08-09 09:09:15 | 2 | |||||||
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tximeta Resource Report Resource Website 1+ mentions |
tximeta (RRID:SCR_028005) | software toolkit, software resource | Software R package for reference sequence checksums for provenance identification in RNA-seq. Performs numerous annotation and metadata gathering tasks on behalf of users during the import of transcript counts and abundance from quantification tools such as salmon. Data are imported as SummarizedExperiment objects with associated GenomicRanges metadata. Correct metadata is added automatically via reference sequence digests, facilitating genomic analyses and assisting in computational reproducibility. | reference sequence checksums, provenance identification in RNA-seq, numerous annotation, metadata gathering, | NHGRI R01 HG009937; NIMH R01 MH118349; NCI P01 CA142538; NIEHS P30 ES010126; NHGRI U41 HG004059 |
PMID:32097405 | Free, Available for download, Freely available | SCR_028005 | Tximeta | 2026-08-09 09:09:50 | 1 | ||||||||
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Automated Fiber Quantification in Python Resource Report Resource Website 10+ mentions |
Automated Fiber Quantification in Python (RRID:SCR_023366) | pyAFQ | software toolkit, software resource | Software package focused on automated delineation of major fiber tracts in individual human brains, and quantification of tissue properties within the tracts.Software for automated processing and analysis of diffusion MRI data. Automates tractometry. | Automates tractometry, automated delineation of major fiber tracts, individual human brains, quantification of tissue properties, tissue properties within fiber tracts, diffusion MRI data, | NIMH 1RF1MH121868; The BRAIN Initiative ; Gordon and Betty Moore Foundation ; Alfred P. Sloan Foundation ; NIBIB R01EB027585; NSF 1551330 |
PMID:35079748 | Free, Available for download, Freely available | SCR_023366 | 2026-08-09 09:08:36 | 12 | ||||||||
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Manually Labeled MRI Brain Scan Database Resource Report Resource Website 1+ mentions |
Manually Labeled MRI Brain Scan Database (RRID:SCR_009604) | data or information resource, database | Collection of neuroanatomically labeled MRI brain scans, created by neuroanatomical experts. Regions of interest include the sub-cortical structures (thalamus, caudate, putamen, hippocampus, etc), along with ventricles, brain stem, cerebellum, and gray and white matter and sub-divided cortex into parcellation units that are defined by gyral and sulcal landmarks. | collection, neuroanatomical, MRI, brain, scan, data, thalamus, caudate, putamen, hippocampus, ventricle, cerebellum, cortex |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Neuromorphometrics works with: MRI Neuroanatomy Labeling Services works with: MRI Neuroanatomy Labeling Services |
NIMH R43 MH60507; NIMH R44 MH60507; NIMH R43 MH084358 |
Commercially available | nlx_155805 | http://www.nitrc.org/projects/manuallabels | SCR_009604 | 2026-08-10 09:33:49 | 1 | |||||||
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Human Brain Transcriptome Resource Report Resource Website 100+ mentions |
Human Brain Transcriptome (RRID:SCR_013742) | HBT | data or information resource, database | A data repository containing transcriptome and associated metadata for the developing and adult human brain. It provides genome-wide, exon-level transcriptome data from both sexes and multiple ethnicities. | human brain, transcriptome data, brain regions, FASEB list |
is related to: Spatio-temporal transcriptome of the human brain has parent organization: Yale University; Connecticut; USA |
NIMH U01MH081896 | PMID:19477152 | SCR_013742 | 2026-08-10 09:34:54 | 107 | ||||||||
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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 | 2026-08-10 09:31:27 | 12 |
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