Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
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 | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
NIH-CIDI Segmentation of PET Images based on Affinity Propagation Clustering Resource Report Resource Website 1+ mentions |
NIH-CIDI Segmentation of PET Images based on Affinity Propagation Clustering (RRID:SCR_014151) | data processing software, image analysis software, segmentation software, software application, software resource | A MATLAB GUI for segmenting and quantifying PET images with multi-focal and diffuse uptakes. It imports a PET image and allows the user to draw region of interests (ROIs) in 2D or 3D to roughly separate the object of interest from the background. The areas are then segmented using a PET image segmentation method based on Affinity Propagation clustering to cluster the image intensities into meaningful groups. For quantification, the Standardized Uptake Value measurements of the binary or the user defined ROI are SUVmax, SUVmean, and Volume (mm^3) and can be exported into an excel sheet. | matlab gui, pet image, region of interest, 2d, 3d, segmentation, affinity propagation clustering | Howard Hughes Medical Institute ; Center for Infectious Disease Imaging ; NIAID Intramural research program ; NIBIB ; NIH Directors New Innovator Award OD006492; NIAD R01AI079590; NIAID R01A1035272 |
Available to the research community | http://www.nitrc.org/projects/ap_seg_2013_nih | SCR_014151 | SciCrunch Registry | 2026-10-24 12:47:13 | 1 | |||||||||
|
MAST Resource Report Resource Website 100+ mentions |
MAST (RRID:SCR_016340) | MAST | data analysis software, data processing software, software application, software resource, software toolkit | Software as an open source package for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. | model, based, analysis, single, cell, transcriptomics, RNA, sequencing, data | Bill and Melinda Gates Foundation OPP1032317; NIBIB R01 EB008400; NIH DP2 DE023321 |
DOI:10.5281/zenodo.18539 | Free, Available for download, Freely available | https://github.com/RGLab/MAST/ | SCR_016340 | SciCrunch Registry | Model based Analysis of Single Cell Transcriptomics | 2026-10-24 12:47:38 | 106 | ||||||
|
dcmqi Resource Report Resource Website 1+ mentions |
dcmqi (RRID:SCR_016933) | dcmqi | data processing software, image processing software, software application, software library, software resource, software toolkit | Software library to help with the conversion between imaging research formats and the standard DICOM representation for image analysis results. Used to implement conversion of the data stored in commonly used research formats into the standard DICOM representation. Available as a precompiled binary package for every major operating system, as a Docker image, and as an extension to 3D Slicer. | DICOM, converter, medical, image, computing, quantitative, analysis, clinical, data, metadata, radiology, standard, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Harvard University; Cambridge; United States |
NCI U24 CA180918; NIBIB P41 EB01589; NIBIB P41 EB015902; NIBIB R01 EB014955 |
PMID:29092948 | Free, Available for download, Freely available, Tutorial available | biotools:dcmqi | https://github.com/QIICR/dcmqi, https://bio.tools/dcmqi | SCR_016933 | SciCrunch Registry | DICOM for Quantitative Imaging, The Digital imaging and Communications in Medicine for Quantitative Imaging, Digital imaging and Communications in Medicine for Quantitative Imaging, DCMQI | 2026-10-24 12:47:42 | 4 | ||||
|
seqNMF Resource Report Resource Website 1+ mentions |
seqNMF (RRID:SCR_017068) | data analysis software, data processing software, software application, software resource | Software tool for unsupervised discovery of sequential structure. Used to detect sequences in neural data generated by internal behaviors, such as animal thinking or sleeping. Used for unsupervised discovery of temporal sequences in high dimensional datasets in neuroscience without reference to external markers. | sequence, structure, high, dimention, dataset, neuroscience, repeated, sequential, pattern, data | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | Department of Energy ; Labor and Economic Growth Computational Science Graduate Fellowship ; G Harold and Leila Y. Mathers Foundation ; NIBIB T32 EB019940; NIDCD R01 DC009183; NIMH R25 MH062204; NINDS U19 NS10 4648; Simons Foundation Simons Collaboration for the Global Brain ; U.S. Department of Defense NDSEG Fellowship program |
PMID:30719973 | Free, Available for download, Freely available | SCR_017068 | SciCrunch Registry | 2026-10-24 12:47:43 | 6 | ||||||||
|
PALM Resource Report Resource Website 50+ mentions |
PALM (RRID:SCR_017029) | PALM | data analysis software, data processing software, software application, software resource | Software tool for inference using permutation methods. Requires Matlab or Octave. Can be executed from inside either environment, or directly from the shell and can be called from scripts. For users who are familiar with statistics and willing to use experimental analysis tools. | statistics, permutation, bootstrap, non parametric, combination, inference |
requires: MATLAB is a plug in for: FSL |
Brazilian National Research Council ; GlaxoSmithKline ; Marie Curie ITN ; Medical Research Council ; MRC G0900908; NIBIB R01 EB015611; Wellcome Trust |
PMID:24530839 PMID:26074200 DOI:10.1002/hbm.23115 PMID:27288322 |
Free, Available for download, Freely available | https://github.com/andersonwinkler/PALM | SCR_017029 | SciCrunch Registry | PALM, Permutation Analysis of Linear Models | 2026-10-24 12:47:43 | 58 | |||||
|
BcForms Resource Report Resource Website |
BcForms (RRID:SCR_018654) | data access protocol, software resource, software toolkit, web service | Software toolkit for concretely describing non-canonical polymers and complexes to facilitate global biochemical networks. Web tool for describing molecular structure of macromolecular complexes, including non canonical monomeric forms, circular topologies, and crosslinks. Describes semantic meaning of whole cell computational models. | Molecular structure description, molecular complex, atom, bond, protein, complex, modification, crosslinked residue, semantic meaning description, bio.tools |
is used by: BpForms is used by: ObjTables is listed by: Debian is listed by: bio.tools is related to: BpForms |
NIBIB P41 EB023912; NIGMS R35 GM119771; NSF 1649014 |
PMID:32423472 | Free, Freely available | biotools:bcforms | https://bio.tools/bcforms | SCR_018654 | SciCrunch Registry | 2026-10-24 12:48:00 | 0 | ||||||
|
Datanator Resource Report Resource Website 1+ mentions |
Datanator (RRID:SCR_018651) | application programming interface, data access protocol, data or information resource, database, software resource, web application | Software toolkit for discovering data needed to build, calibrate, and validate mechanistic models of cells. Integrated database of molecular data for quantitatively modeling cellular behavior. Web application for identifying relevant data for modeling specific organism in specific environmental condition. | Data discovering, cell model, model cellular biochemistry, modeling specific organism, specific environmental condition, genomics, proteomics, epigenomics, metabolomics, system biology, bio.tools |
uses: BpForms is listed by: Debian is listed by: bio.tools has parent organization: Icahn School of Medicine at Mount Sinai; New York; USA |
NIBIB P41 EB023912; NIGMS R35 GM119771 |
DOI:10.1101/2020.08.06.240051 | Free, Freely available | biotools:datanator, r3d100013339 | https://github.com/karrlab/datanator, https://bio.tools/datanator, https://doi.org/10.17616/R31NJMSB | SCR_018651 | SciCrunch Registry | 2026-10-24 12:48:00 | 2 | ||||||
|
BAMS Cells Resource Report Resource Website 10+ mentions |
BAMS Cells (RRID:SCR_003531) | BAMS Cells, BAMS Cell | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 6, 2023.BAMS is an online resource for information about neural circuitry. The BAMS Cell view focuses on the major brain regions and which cells are contained therein. | neuroanatomy, cell, neuron, neural circuitry, brain |
is used by: NIF Data Federation has parent organization: Brain Architecture Management System |
NIBIB ; NIMH ; NINDS |
THIS RESOURCE IS NO LONGER IN SERVICE. | nif-0000-90175 | http://brancusi.usc.edu/bkms/ | SCR_003531 | SciCrunch Registry | Brain Architecture Management System Cells | 2026-10-24 12:50:27 | 11 | |||||
|
eMouseAtlas Resource Report Resource Website 50+ mentions |
eMouseAtlas (RRID:SCR_002981) | EMAP, EMA, EMAGE, MAP, EMAP, MAP2.0, | atlas, data or information resource, database | Detailed multidimensional digital multimodal atlas of C57BL/6J mouse nervous system with data and informatics pipeline that can automatically register, annotate, and visualize large scale neuroanatomical and connectivity data produced in histology, neuronal tract tracing, MR imaging, and genetic labeling. MAP2.0 interoperates with commonly used publicly available databases to bring together brain architecture, gene expression, and imaging information into single, simple interface.Resource to visualise mouse development, identify anatomical structures, determine developmental stage, and investigate gene expression in mouse embryo. eMouseAtlas portal page allows access to EMA Anatomy Atlas of Mouse Development and EMAGE database of gene expression.EMAGE is freely available, curated database of gene expression patterns generated by in situ techniques in developing mouse embryo. EMA, e-Mouse Atlas, is 3-D anatomical atlas of mouse embryo development including histology and includes EMAP ontology of anatomical structure, provides information about shape, gross anatomy and detailed histological structure of mouse, and framework into which information about gene function can be mapped. | Mouse Atlas Project, molecular neuroanatomy resource, adult mouse, mouse, brain, c57bl/6j, magnetic resonance microscopy, diffusion-weighted image, blockface imaging, immunohistochemistry, in situ hybridization, neuroanatomy, mri, dti, brain architecture, gene expression, neuroimaging, ontology, connectivity, histology, neuronal tract tracing, genetic labeling, newborn mouse, experimental protocol, bio.tools, ontology, histology, mouse embryo, gene expression, gxd query interface, digital anatomical atlas, spatial region, domain, 2d, 3d, virtual embryo model, development atlas, standard anatomical nomenclature, developmental staging criteria, spatially mapped, anatomy nomenclature, molecular neuroanatomy resource, embryonic mouse, FASEB list |
is related to: GUDMAP Ontology is related to: EMAGE Gene Expression Database is related to: EMAGE Gene Expression Database is related to: HUDSEN is related to: Mouse Genome Informatics: The Mouse Gene Expression Information Resource Project has parent organization: University of Edinburgh; Scotland; United Kingdom has parent organization: Jackson Laboratory is parent organization of: Minimal Anatomical Terminology |
Medical Research Council ; NIA ; NIBIB ; NIDA ; NIDCD ; NINDS |
PMID:15043218 PMID:18077470 PMID:16381949 |
Free, Freely available | nif-0000-00038, nif-0000-00505, biotools:emap, SCR_007281, biotools:ma | http://www.emouseatlas.org/emap/home.html, https://bio.tools/emap, https://bio.tools/ma | http://genex.hgu.mrc.ac.uk/, http://www.loni.ucla.edu/MAP/ | SCR_002981 | SciCrunch Registry | emouseatlas, e-mouse Atlas, EMAGE Gene Expression Database, EMA, Edinburgh Mouse Atlas of Gene Expression, e-Mouse Atlas, EMA Anatomy Atlas of Mouse Development | 2026-10-24 12:50:25 | 71 | |||
|
Waxholm Space Atlas of the Sprague Dawley Rat Brain Resource Report Resource Website 10+ mentions |
Waxholm Space Atlas of the Sprague Dawley Rat Brain (RRID:SCR_017124) | WHS-SD-atlas | atlas, data or information resource, waxholm atlas | Open access volumetric atlas of anatomical delineations of rat brain based on structural contrast in isotropic magnetic resonance and diffusion tensor images acquired ex vivo from 80 day old male Sprague Dawley rat at Duke Center for In Vivo Microscopy. Spatial reference is provided by Waxholm Space coordinate system. Location of bregma and lambda are identified as anchors towards stereotaxic space. Application areas include localization of signal in non structural images. Atlas, MRI and DTI volumes, and diffusion tensor data are shared in NIfTI format. | volumetric, atlas, anatomical, delineation, rat, brain, structural, contrast, isotropic, MIR, DTI, male, Sprague Dawley, image |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: ITK-SNAP is related to: PMOD Software is related to: Duke University; North Carolina; USA has parent organization: University of Oslo; Oslo; Norway works with: MeshView works with: VisuAlign |
EC Human Brain Project ; NCI U24 CA092656; NIBIB P41 EB015897; Research Council of Norway |
PMID:24726336 PMID:25585022 |
Free, Available for download, Freely available | SCR_017124 | SciCrunch Registry | WHS SD rat atlas, WHS_SD_rat_atlas, WHS-SD-rat-atlas | 2026-10-24 12:51:12 | 38 | ||||||
|
3D MRI Atlas of Mouse Development Resource Report Resource Website 1+ mentions |
3D MRI Atlas of Mouse Development (RRID:SCR_008090) | MRI Atlas of Mouse Development, | atlas, data or information resource |
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 October, 01, 2019. 3D digital atlas of normal mouse development constructed from magnetic resonance image data. The download is a zipped file containing the six atlases Theiler Stages (ts) 13, 21,23, 24, 25 and 26 and MRI data for an unlabeled ts19 embryo. To view the atlases, download and install MBAT from: http://mbat.loni.ucla.edu Specimens were prepared in aqueous, isotonic solutions to avoid tissue shrinkage. Limited specimen handling minimized physical perturbation of the embryos to ensure accurate geometric representations of developing mouse anatomy. Currently, the atlas contains orthogonal sections through MRI volumes, three stages of embryos that have annotated anatomy, photographs of several stages of development, lineage trees for annotated embryos and a gallery of images and movies derived from the annotations. Anatomical annotations can be viewed by selecting a transverse section and selecting a pixel on the displayed slice. |
embryo, embryogenesis, development, magnetic resonance imaging, mouse, developing, c57bl/6, development, anatomy, embryonic mouse | is related to: Mouse BIRN Atlasing Toolkit | Normal | Human Brain Project ; Biomedical Informatics Research Network ; Beckman Institute at Caltech ; NCRR ; NIBIB |
PMID:10091864 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-10989 | SCR_008090 | SciCrunch Registry | Caltech micro MRI Atlas of Mouse Development, microMRI Atlas of Mouse Development, Caltech MRI Atlas of Mouse Development, micro MRI Atlas of Mouse Development | 2026-10-24 12:50:52 | 1 | ||||
|
UCSD Center for NMR Spectroscopy and Imaging of Proteins Resource Report Resource Website |
UCSD Center for NMR Spectroscopy and Imaging of Proteins (RRID:SCR_001401) | NMR Resource at UCSD | access service resource, biomedical technology research center, service resource, training resource | Biomedical technology research center that develops new technology for NMR spectroscopy and makes it available to the biomedical research community for structure determination of proteins in biological supramolecular assemblies, such as membrane proteins or virus particles. The principal applications are to membrane-associated proteins; however, the approach is generally applicable to polypeptides that cannot be prepared in forms suitable for X-ray crystallography or multidimensional solution NMR spectroscopy. As a result, there are also applications to viruses and other biological systems. The principal instrumentation consists of high-field NMR spectrometers dedicated to high-resolution solid-state NMR spectroscopy. The spectrometers are capable of the full-range of multiple-resonance experiments on stationary and spinning samples; however, the major emphasis is on methods that utilize mechanically or magnetically oriented samples. Development encompasses preparation of samples, including: * Expression and purification of membrane proteins * Design and construction of instrumentation, especially probes * Implementation of new pulse sequences and other experimental protocols for solid-state NMR spectroscopy * Calculations for the processing of experimental data and protein structure determination from the orientational constraints derived from these data | nmr spectroscopy, structure, protein, nmr spectrometer, expression, purification, membrane protein, probe, pulse sequence, virus particle | has parent organization: University of California at San Diego; California; USA | NIBIB P41EB002031 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_152626 | SCR_001401 | SciCrunch Registry | Center for NMR Spectroscopy and Imaging of Proteins, Resource for NMR Molecular Imaging of Proteins | 2026-10-24 12:52:03 | 0 | ||||||
|
Richard M. Lucas Center for Imaging Resource Report Resource Website 1+ mentions |
Richard M. Lucas Center for Imaging (RRID:SCR_001406) | Lucas Center, CAMRT | biomedical technology research center, training resource | Biomedical technology research center that develops innovative technologies in five core research areas of magnetic resonance imaging and spectroscopy (MRI/MRS): # image reconstruction, fast imaging and radiofrequency (RF) pulse design methods, # R hardware development, # body imaging methods, # neuroimaging methods. # MR spectroscopy methods. In each of these areas, they capitalize on the long-standing, successful partnership and extensive experience in Stanford's Radiology and Electrical Engineering departments to improve and expand imaging technology for use in basic research and clinical care, and to provide cutting edge opportunities to the extramural community for biomedical research with MRI. Over its more than 18 years of existence, CAMRT has been motivated by and has served a wide base of extramurally sponsored collaborators and service users from leading medical and research institutions. Examples of collaborative projects are the development of real-time functional MRI biofeedback methods for neuroscience and clinical applications such as pain remediation, development of methods to mitigate metal artifacts in musculoskeletal imaging, development of novel RF pulses for many applications, and studies of breast cancer with efficient MRS methods. | magnetic resonance imaging, spectroscopy, x-ray imaging, ct imaging, imaging, neuroimaging | has parent organization: Stanford University School of Medicine; California; USA | Brain disorder, Cancer, Stroke, Heart disease | NIBIB | Free, Freely Available | nlx_152629 | http://med.stanford.edu/rsl/about/lucas.html | SCR_001406 | SciCrunch Registry | Lucas Center for Imaging, Center for Advanced Magnetic Resonance Technology | 2026-10-24 12:52:03 | 1 | ||||
|
Center for Functional Neuroimaging Technologies Resource Report Resource Website 1+ mentions |
Center for Functional Neuroimaging Technologies (RRID:SCR_001423) | CFNT | access service resource, biomedical technology research center, service resource, training resource | Biomedical technology research center that develops and applies innovative neuroimaging technologies and techniques to enable closer examination of the human brain, and thereby contribute to better understanding of the brain in health and disease. They develop new techniques and advance existing technologies for acquisition and analysis of functionally specific images of the working brain, with unprecedented physiological precision and spatiotemporal resolution. The research and development aims to improve and extend existing methods for non-invasive magnetic resonance image analysis and acquisition, electromagnetic source imaging, optical neuroimaging, and most recently, combined MR-PET neuroimaging. The Resource provides an essential interactive environment, within which an interdisciplinary team of highly skilled scientists, engineers, and clinicians with diverse expertise in multiple modalities and disciplines. The resource supports service use of the Center's facilities by neuroscientists throughout the country, provide extensive training opportunities for students, fellows, and staff scientists, and seek to advance the field of brain mapping through active dissemination of new knowledge and technology. | mri, neuroimaging, pet, acquisition, analysis, brain, electromagnetic source imaging, optical neuroimaging, multimodal, magnetic resonance, eeg, meg, electrocorticography, information resource, optical imaging |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Harvard Medical School; Massachusetts; USA |
NIBIB 5P41EB015896-18 | Free, Available for download, Freely available | nlx_152644 | http://www.nitrc.org/projects/cfnt | SCR_001423 | SciCrunch Registry | 2026-10-24 12:52:03 | 1 | ||||||
|
Southwestern NMR Center for In Vivo Metabolism Resource Report Resource Website 1+ mentions |
Southwestern NMR Center for In Vivo Metabolism (RRID:SCR_001429) | Southwestern NMR Center | biomedical technology research center, training resource | Biomedical technology research center that develops and applies new methods for analysis of metabolic networks in intact tissues, animals and human patients. The importance of understanding abnormal metabolism in common diseases such as cancer, diabetes and heart disease has long been appreciated. Because of constraints in technology, however, much of this research has been conducted in isolated systems where clinical relevance may be uncertain. Progress in magnetic resonance technology provides a foundation for major advances towards new ways of imaging metabolism in patients. These new techniques offer the advantage of imaging biochemical pathways without radiation. The focus of this Resource is to bring these technologies to a level where clinical research is feasible through the development of new MR contrast agents, NMR spectroscopy at high fields, and imaging of hyperpolarized 13C. | metabolic network, tissue, imaging, metabolism, nuclear magnetic resonance, magnetic resonance, nuclear magnetic resonance spectroscopy | has parent organization: University of Texas Southwestern Medical Center; Texas; USA | Cancer, Diabetes, Heart disease | NIBIB 5P41EB015908-28 | Free, Freely Available | nlx_152653 | SCR_001429 | SciCrunch Registry | Southwestern NMR Center for in vivo Metabolism - NIBIB | 2026-10-24 12:52:03 | 1 | |||||
|
MIT/ Harvard Center for Magnetic Resonance Resource Report Resource Website |
MIT/ Harvard Center for Magnetic Resonance (RRID:SCR_001412) | CMR | access service resource, biomedical technology research center, service resource, training resource | Biomedical technology research center designated as a biotechnology nuclear magnetic resonance (NMR) resource that hosts research efforts into cancer, neurological diseases, and many other areas. The heart of the 900 MHz magnetic resonance instrument is a superconducting magnet with a field strength of 21 Tesla, the highest field currently available for magnetic resonance spectroscopy, roughly 400,000 times stronger than the earth's magnetic field. Magnetic resonance is a powerful tool for determining the structure of molecules, and has proven especially useful for elucidating the role of proteins in biological processes and diseases. The state of the art facility includes two 17.6 T magnets with a third to be delivered in 2000. With multiple 17.6 T NMR magnets, the CMR is a valuable resource in New England and will continue to serve this research community for years to come. The advent of high magnetic fields has placed demands on the hardware needed to run experiments in these very high fields. The CMR has recently produced new advances in NMR probe technology, in electron magnetic resonance, and in using microwaves to enhance NMR experiments. The results are powerful new methods for performing biological research and they are looking forward to the continued growth of these exciting new areas! | magnet, spectrometer, nuclear magnetic resonance, magnetic resonance spectrometer | has parent organization: Massachusetts Institute of Technology; Massachusetts; USA; | NIBIB 5P41EB002026-41 | nlx_152635 | SCR_001412 | SciCrunch Registry | MIT/ Harvard Center for Magnetic Resonance 900 MHz NMR Facility, MIT/ Harvard Center for Magnetic Resonance (CMR) 900 MHz NMR Facility, MIT/Harvard Center for Magnetic Resonance | 2026-10-24 12:52:03 | 0 | |||||||
|
National Resource for Imaging Mass Spectrometry Resource Report Resource Website 1+ mentions |
National Resource for Imaging Mass Spectrometry (RRID:SCR_001416) | NRIMS | biomedical technology research center, training resource | Biomedical technology research center with the focus on the application to biomedical research of a new generation of secondary ion mass spectrometer (SIMS), the Multi-Isotope Imaging Mass Spectrometer (MIMS). MIMS is an ion microscope and an ion counter. MIMS provides high mass separation at high transmission (M/lambdaM > 10,000), high spatial resolution (< 40 nm) and has the unique capability of simultaneously recording several atomic mass images. Of the utmost importance, MIMS makes it possible for the first time (and at the intracellular level) to simultaneously image the distribution and measure the accumulation of molecules labeled with any isotopes, in particular with stable isotopes, for example with 15N. Thus, MIMS allows one to study localization, accumulation and turnover of proteins, fats, sugars and foreign molecules in cellular microdomains, donor-receiver cellular trafficking, stem cell nesting and localization of drugs. Their aim is to be a technological, methodological, and intellectual resource for researchers from a variety of disciplines. They seek to explore and develop the unique capabilities of MIMS and to bring cutting-edge information to biology and medicine that is currently unobtainable using existing technologies. | mass spectrometer, mass spectrometery, ion microscope, ion counter, imaging, ion, molecule | has parent organization: Harvard Medical School; Massachusetts; USA | NIBIB P41 EB001974-13 | nlx_152638 | SCR_001416 | SciCrunch Registry | 2026-10-24 12:52:03 | 7 | ||||||||
|
Biomedical Simulations Resource Resource Report Resource Website 1+ mentions |
Biomedical Simulations Resource (RRID:SCR_001952) | BMSR | biomedical technology resource center, training resource | Biomedical technology resource center dedicated to the advancement of the state-of-the-art in biomedical modeling and simulation through Core and Collaborative Research projects, as well as the dissemination of this knowledge and related software through Service, Training and Dissemination activities aimed at the biomedical community at large. The BMSR includes four core research projects: * Pharmacokinetic/Pharmacodynamic Systems Analysis * Nonlinear Modeling of Complex Biomedical Systems * Modeling of Autonomic, Metabolic and Vascular Control Interactions * Nonlinear Modeling of the Hippocampus Fifteen Collaborative Research Projects serve as challenging test grounds for the Resource's methodologies and expertise. | hippocampus, modeling, simulation, model, pharmacokinetic, pharmacodynamic, systems analysis, nonlinear modeling, complex biomedical system, autonomic, metabolic, vascular control, interaction, intracellular signalling, biomarker |
has parent organization: University of Southern California; Los Angeles; USA is parent organization of: BMSR Workshops is parent organization of: BMSR Short Courses is parent organization of: LYSIS is parent organization of: PNEUMA is parent organization of: TARGETgene is parent organization of: EONS is parent organization of: ADAPT |
Cancer, Alzheimer's disease, Metabolic syndrome | NIBIB P41-EB001978 | nif-0000-10530 | http://bmsr.usc.edu/index.html | SCR_001952 | SciCrunch Registry | Biomedical Simulations Resource (BMSR) | 2026-10-24 12:52:04 | 8 | |||||
|
EEG Motor Movement/Imagery Dataset Resource Report Resource Website 1+ mentions |
EEG Motor Movement/Imagery Dataset (RRID:SCR_004858) | EEG Motor Movement/Imagery Dataset | data or information resource, data set | Data set of over 1500 one- and two-minute EEG recordings, obtained from 109 volunteers. Subjects performed different motor/imagery tasks while 64-channel EEG were recorded using the BCI2000 system (http://www.bci2000.org). Each subject performed 14 experimental runs: two one-minute baseline runs (one with eyes open, one with eyes closed), and three two-minute runs of each of the four following tasks: # A target appears on either the left or the right side of the screen. The subject opens and closes the corresponding fist until the target disappears. Then the subject relaxes. # A target appears on either the left or the right side of the screen. The subject imagines opening and closing the corresponding fist until the target disappears. Then the subject relaxes. # A target appears on either the top or the bottom of the screen. The subject opens and closes either both fists (if the target is on top) or both feet (if the target is on the bottom) until the target disappears. Then the subject relaxes. # A target appears on either the top or the bottom of the screen. The subject imagines opening and closing either both fists (if the target is on top) or both feet (if the target is on the bottom) until the target disappears. Then the subject relaxes. The data are provided here in EDF+ format (containing 64 EEG signals, each sampled at 160 samples per second, and an annotation channel). | eeg, recording, motor, movement, imagery, eyes open, eyes closed, task, open fist, closed fist | has parent organization: PhysioNet | NIBIB EB006356; NIBIB EB00856 |
PMID:15188875 | Acknowledgement requested | nlx_84003 | SCR_004858 | SciCrunch Registry | EEG Motor Movement / Imagery Dataset | 2026-10-24 12:52:07 | 4 | |||||
|
Functional Regression Analysis of DTI Tract Statistics Resource Report Resource Website |
Functional Regression Analysis of DTI Tract Statistics (RRID:SCR_002293) | FRATS | data processing software, image analysis software, software application, software resource | Software for the analysis of multiple diffusion properties along fiber bundle as functions in an infinite dimensional space and their association with a set of covariates of interest, such as age, diagnostic status and gender, in real applications. The resulting analysis pipeline can be used for understanding normal brain development, the neural bases of neuropsychiatric disorders, and the joint effects of environmental and genetic factors on white matter fiber bundles. | computational neuroscience, imaging genomics, magnetic resonance, regression analysis, dti, statistics |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA |
NSF BCS-08-26844; NCRR UL1-RR025747-01; NIMH MH086633; NIA AG033387; NIMH MH064065; NICHD HD053000; NIMH MH070890; NINDS R01NS055754; NIBIB U54 EB005149-01 |
PMID:20335089 | Academic Free License | nlx_155629 | SCR_002293 | SciCrunch Registry | Functional Regression Analysis of DTI | 2026-10-24 12:49:48 | 0 |
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the NIF Resources search. From here you can search through a compilation of resources used by NIF and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that NIF has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on NIF then you can log in from here to get additional features in NIF such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
If you are logged into NIF you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the facets that you can filter the data by.
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.
Welcome to the Neuroscience Information Framework Project, designed to serve the biomedical research community. NIF maintains the largest searchable collection of neuroscience data, the largest catalog of biomedical resources, and the largest ontology for neuroscience on the web. We welcome all feedback and suggestions and are actively looking for resource providers to make their resources accessible through NIF. Learn about the tools available to help you share your data and discover a dynamic inventory of Web-based neuroscience resources.
