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 | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
Sashimiplot Resource Report Resource Website |
Sashimiplot (RRID:SCR_016861) | sashimiplot | data processing software, data visualization software, software application, software resource | Software tool for quantitative visualization of aligned RNA-Seq reads that enables quantitative comparison of exon usage across samples or experimental conditions. | quantitative, visualization, aligned, RNA-Seq, read, data, compare, exon, usage, sample, experiment, condition, MISO | is related to: MISO | Alfred P. Sloan research fellowship ; NCI R01 CA157304; NCI U01 CA184897; NHGRI R01 HG002439; NIGMS R01 GM085319; NIGMS R01 GM096193; NSF IIS 1149662; Starr Cancer Consortium |
PMID:25617416 DOI:10.1093/bioinformatics/btv034 |
Free, Available for download, Freely available | http://miso.readthedocs.org/en/fastmiso/sashimi.html | SCR_016861 | sashimi_plot | 2026-09-12 12:58:45 | 0 | |||||
|
Short Time-series Expression Miner (STEM) Resource Report Resource Website 50+ mentions |
Short Time-series Expression Miner (STEM) (RRID:SCR_005016) | STEM | data processing software, software application, software resource | The Short Time-series Expression Miner (STEM) is a Java program for clustering, comparing, and visualizing short time series gene expression data from microarray experiments (~8 time points or fewer). STEM allows researchers to identify significant temporal expression profiles and the genes associated with these profiles and to compare the behavior of these genes across multiple conditions. STEM is fully integrated with the Gene Ontology (GO) database supporting GO category gene enrichment analyses for sets of genes having the same temporal expression pattern. STEM also supports the ability to easily determine and visualize the behavior of genes belonging to a given GO category or user defined gene set, identifying which temporal expression profiles were enriched for these genes. (Note: While STEM is designed primarily to analyze data from short time course experiments it can be used to analyze data from any small set of experiments which can naturally be ordered sequentially including dose response experiments.) Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, term enrichment, visualization, cluster, compare, short time series, gene expression, microarray, expression profile, gene, gene ontology, gene enrichment analyses, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Carnegie Mellon University; Pennsylvania; USA |
NIAID NO1 AI-5001; NSF 0448453 |
PMID:16597342 PMID:15961453 |
Open unspecified license - Free for academic use | nlx_97053 | SCR_005016 | Short Time-series Expression Miner | 2026-09-12 01:00:55 | 90 | |||||
|
Autopack Resource Report Resource Website 1+ mentions |
Autopack (RRID:SCR_006830) | autoPack | data processing software, software application, software resource | An open-source general packing algorithm that packs 3D objects onto surfaces, into volumes, and around volumes. It provides a general architecture to allow various packing algorithms to interoperate efficiently in the same model. autoPack can incorporate any packing solution into its modular python program architecture, but is currently optimized to provide a novel solution to the loose packing problem which places objects of discrete size into place (compared to advancing front, popcorn, or other fast tight-packing solutions that allow objects to scale to arbitrary masses.) Most popular 3D software programs now contain robust physics engines based on Bullet that can separate small collections of overlapping objects or allow volumes to be filled by pouring shapes from generators, but these approaches fails for large complex systems and result in either overlapping geometry, crashed software, or non-random gradients. Most packing algorithms are designed to position objects as efficiently as possible, but autoPack allows the user to select from random loose packing to highly organized packing methods����??even to choose both methods at the same time. autoPack positions 3D geometries into, onto, and around volumes with minimal to zero overlap. autoPack mixes several packing approaches and procedural growth algorithms. autoPack can thus place objects with forces and constraints to allow a high degree of control ranging from completely random distributions to highly ordered structures. * zero to minimal overlaps depending on the method used * accuracy vs speed parameters selected by the user * zero edge effects * complete control, from fully random to fully ordered distributions * agent-based interaction, weighting, and collision control | 3d visualization software, modeling software, 3d packing software, packing, 3d object, surface, volume, algorithm |
is related to: Cellpack has parent organization: Google Code has parent organization: Scripps Research Institute is parent organization of: Cellpack |
QB3 at UCSF Fellowship ; NSF 07576; NCRR P41 RR08605 |
GNU Lesser General Public License | nlx_151791 | https://sites.google.com/site/autofill21/, http://code.google.com/p/autofill/ | SCR_006830 | 2026-09-12 01:00:57 | 3 | ||||||
|
ORION Resource Report Resource Website 50+ mentions |
ORION (RRID:SCR_010621) | data processing software, image analysis software, software application, software resource, source code | Project to develop tools that explore single neuron function via sophisticated image analysis. ORION software bridges advanced optical imaging and compartmental modeling of neuronal function by rapidly, accurately, and robustly generating, from structural image data, a cylindrical morphology model suitable for simulating neuronal function. | structural imaging, reconstruction, simulation, functional imaging, multiphoton, confocal | has parent organization: University of Houston; Texas; USA | University of Houston; Texas; USA ; NIA RO1-AG027577; NSF IIS-0431144; NSF IIS-0638875; NSF DMS-0915242 |
Free, Available for download, Freely available | nlx_56302 | http://cbl.uh.edu/ORION/research/overview, http://cbl.uh.edu/ORION/ | SCR_010621 | ORION Research | 2026-09-12 01:01:00 | 57 | ||||||
|
G-SESAME - Gene Semantic Similarity Analysis and Measurement Tools Resource Report Resource Website 1+ mentions |
G-SESAME - Gene Semantic Similarity Analysis and Measurement Tools (RRID:SCR_005816) | G-SESAME | analysis service resource, data analysis service, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 2,2025. G-SESAME contains a set of tools. They include: tools for measuring the semantic similarity of GO terms; tools for measuring the functional similarity of genes; and tools for clustering genes based on their GO term annotation information. Platform: Online tool, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | gene ontology, semantic similarity, functional similarity, cluster, gene, annotation, gene annotation |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Clemson University; South Carolina; USA |
NSF DBI-0960586; NSF DBI-0960443 |
PMID:19491312 PMID:17344234 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_149313 | SCR_005816 | Gene Semantic Similarity Analysis Measurement Tools, Gene Semantic Similarity Analysis and Measurement Tools | 2026-09-12 01:01:39 | 5 | |||||
|
DOMMINO - Database Of MacroMolecular INteractiOns Resource Report Resource Website 1+ mentions |
DOMMINO - Database Of MacroMolecular INteractiOns (RRID:SCR_005958) | DOMMINO | data or information resource, database | DOMMINO is a comprehensive structural database on macromolecular interactions. As of June, 2011, it contains more than 407,000 binary interactions. The distinctive features of DOMMINO are: # Automated updates: DOMMINO is fully automated and is designed to update itself on a weekly basis, one day after a PDB weekly update. Thus, the community will be able to study macromolecular interactions almost immediately after they are released by PDB. # Coverage of non-domain mediated interactions: In addition to domain-domain and domain-peptide interactions the database characterizes the interaction between domains and unstructured protein regions that are not parts of a domain, such as inter-domain linkers and N- and C-termini. The interactions that involve the latter unstructured parts of proteins have been included to the database for the first time providing additional ~186,000 interactions (~45% of the total number of interactions, as of June, 2011). # Coverage of new structural domains: DOMMINO employs one of the most accurate structural classifications of proteins, SCOP. In addition to the existing SCOP-annotated domains, we employ a state-of-the-art machine learning approach to classify newer protein structures into existing SCOP families. With the progress of structural genomics, we do not expect a significant growth of the number of structurally novel folds or protein families and therefore our method allows covering almost all new protein structures. In total, using this predictive approach has allowed us to add more than 261,000 new interactions, almost twice as many as existing SCOP-annotated interactions. # The web-interface is designed to give the user a possibility of a flexible search as well as the capability to study macromolecular interactions in a PDB structure at the interaction network level and at the individual interface level. The web interface of the DOMMINO database includes a comprehensive list of help topics linked to the specific actions. In addition, we have designed a step-by-step tutorial that covers all aspects of working with the data from DOMMINO using the web interface. | macromolecular interaction, macromolecule, structural domain, non-domain mediated interaction, protein, domain, peptide, interaction, protein-protein interaction, protein-peptide interaction, protein-dna interactions, protein-rna interactions, rna-rna interactions, rna-dna interactions, interface structure, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: SCOP: Structural Classification of Proteins has parent organization: University of Missouri; Missouri; USA |
NSF DBI-0845196 | PMID:22135305 | biotools:dommino, nlx_151316 | http://orion.rnet.missouri.edu/~nz953/DOMMINO/, https://bio.tools/dommino | SCR_005958 | Database Of MacroMolecular INteractiOns | 2026-09-12 01:01:40 | 1 | |||||
|
lapdftext Resource Report Resource Website |
lapdftext (RRID:SCR_006167) | lapdftext, LA-PDFText, | software application, software resource, text extraction software | Software that facilitates accurate extraction of text from PDF files of research articles for use in text mining applications. It is intended for both scientists and natural language processing (NLP) engineers interested in getting access to text within specific sections of research articles. The system extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles. The current version of LA-PDFText is a baseline system that extracts text using a three-stage process: * identification of blocks of contiguous text * classification of these blocks into rhetorical categories * extraction of the text from blocks grouped section-wise. | text mining, pdf, text extraction, natural language processing |
is listed by: FORCE11 has parent organization: University of Southern California; Los Angeles; USA |
NSF 0849977; NIGMS RO1-GM083871; NIMH 1R01MH079068-01A2; NCRR U24 RR025736-01 |
PMID:22640904 | Acknowledgement requested, GNU General Public License, v3 | nlx_151668 | SCR_006167 | Layout-Aware PDF Text Extraction, Layout-Aware Text Extraction from Full-text PDF of Scientific Articles, lapdftext: Layout-Aware Text Extraction from Full-text PDF of Scientific Articles | 2026-09-12 01:01:41 | 0 | |||||
|
HaploReg Resource Report Resource Website 1000+ mentions |
HaploReg (RRID:SCR_006796) | HaploReg | data or information resource, database | HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation. | chromatin state, conservation, regulatory motif, alteration, variant, chromatin, motif, annotation, genome, variation, genome-wide association study, refsnp, refseq gene, snp, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Broad Institute |
NHGRI R01-HG004037; NHGRI RC1-HG005334; NSF 0644282 |
PMID:22064851 | biotools:HaploReg, nlx_151407 | http://compbio.mit.edu/HaploReg, https://bio.tools/HaploReg | SCR_006796 | 2026-09-12 01:01:44 | 1048 | ||||||
|
Mouse Brain Atlases Resource Report Resource Website 1+ mentions |
Mouse Brain Atlases (RRID:SCR_007127) | Mouse Brain Atlases | atlas, data or information resource | High-resolution electronic atlases for mouse strains c57bl/6j, a/j, and dba/2j in either coronal or horizontal section. About this Atlas: The anterior-posterior coordinates are taken from an excellent print atlas of a C57BL/6J brain by K. Franklin and G. Paxinos (The Mouse Brain in Stereotaxic Coordinates, Academic Press, San Diego, 1997, ISBN Number 0-12-26607-6; Library of Congress: QL937.F72). The abbreviations we have used to label the sections conform to those in the Franklin-Paxinos atlas. A C57BL/6J mouse brain may contain as many as 75 million neurons, 23 million glial cells, 7 million endothelial cells associated with blood vessels, and 3 to 4 million miscellaneous pial, ependymal, and choroid plexus cells (see data analysis in Williams, 2000). We have not yet counted total cell number in DBA/2J mice, but the counts are probably appreciably lower.The brain and sections were all processed as described in our methods section. The enlarged images have a pixel count of 1865 x 1400 and the resolution is 4.5 microns/pixel for the processed sections.Plans: In the next several years we hope to add several additional atlases of the same sort for other strains of mice. A horizontal C57BL/6J atlas and a DBA/2J coronal atlas were completed by Tony Capra, summer 2000, and additional atlases may be made over the next several years. As describe in the MBL Procedures Section is not hard to make your own strain-specific atlas from the high resolution images in the MBL. | genetics, anatomy, coronal, cerebellum, c57bl/6j, dba/2j, a/j, horizontal, morphology, subcortical, volume | has parent organization: Mouse Brain Library | Human Brain Project ; NIDA ; NSF ; NIMH P20-MH 62009 |
nif-0000-00044 | SCR_007127 | 2026-09-12 01:01:45 | 7 | ||||||||
|
Add Health (National Longitudinal Study of Adolescent Health) Resource Report Resource Website 10+ mentions |
Add Health (National Longitudinal Study of Adolescent Health) (RRID:SCR_007434) | Add Health | data or information resource, database | Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database. | adolescent, longitudinal, adult human, interview, social, behavior, health, early adult human, FASEB list | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Aging | NICHD ; NCI ; CDC ; NIAID ; NIMHD ; NIDCD ; NIGMS ; NIMH ; NINR ; NIA ; NIAAA ; NIDA ; NSF ; NIH ; Department of Health and Human Services ; MacArthur Foundation ; Robert Wood Johnson Foundation |
Restricted use | nif-0000-00621 | SCR_007434 | National Longitudinal Study of Adolescent Health | 2026-09-12 01:01:47 | 37 | |||||
|
FATCAT Flexible Structural Neighborhood Resource Report Resource Website |
FATCAT Flexible Structural Neighborhood (RRID:SCR_007665) | FSN | data or information resource, database | Flexible Structural Neighborhood is a database of structural neighbors of proteins as seen by FATCAT - a flexible protein structure alignment program. The server accepts either a protein (PDB ID) or a domain (SCOP ID) as a query. For the former case, the server first displays the information of chains and domains of a given protein. Afterwards, users can retrieve similar structures for a domain (if domain information is available, i.e., the protein is collected by SCOP), or for a chain otherwise. The protein structure database we collected for similar structure search includes a representative set at 90% sequence identity of SCOP domains, and of up-to-date PDB entries that are not included in the latest release of SCOP. | server, database, molecule structure, protein structure, flexibility, structure, structural neighbor, protein, domain | is related to: FATCAT | NIGMS GM101457; NIGMS GM63208; NIGMS GM076221; NSF DBI-0349600 |
nif-0000-02854 | http://fatcat.ljcrf.edu/fatcat-cgi/cgi/FSN/fsn.pl | SCR_007665 | FATCAT Flexible Structural Neighborhood Database, FSN Database | 2026-09-12 01:01:49 | 0 | ||||||
|
VCU Nanomaterials Characterization Center Resource Report Resource Website 10+ mentions |
VCU Nanomaterials Characterization Center (RRID:SCR_012162) | VCU Nanomaterials Characterization Center | access service resource, core facility, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on April 15,2024. Nanomaterials Characterization Center at Virginia Commonwealth University is a state of the art 4000 sq. ft. facility located within the new Health and Life Science Engineering Facility. The Center provides an academic structure for students in natural sciences, mathematics, engineering, and medicine to participate in nanoscience and nanotechnology research to acquire the skills necessary to pursue such careers. In the past year, VCU received two National Science Foundation major research instrumentation grants totaling more than $1.6 million to expand its capabilities for research in materials science. Combining these federal awards with state instrumentation grants and private donations, the facility has been able to build a state of the art facility with over $5 million in new equipment. This new equipment will allow faculty and student researchers from both VCU campuses, as well as other universities. |
is listed by: ScienceExchange is related to: Virginia Commonwealth University Labs and Facilities has parent organization: Virginia Commonwealth University; Virginia; USA |
NSF | THIS RESOURCE IS NO LONGER IN SERVICE | SciEx_10050 | SCR_012162 | Virginia Commonwealth University Nanomaterials Characterization Center | 2026-09-12 01:03:37 | 46 | |||||||
|
OrthoANIu Resource Report Resource Website 50+ mentions |
OrthoANIu (RRID:SCR_022562) | data analytics software, software application, software resource | Software tool for calculating average nucleotide identity. | calculating average nucleotide identity, nucleotide identity | NSF NRF-2014M3C9A3063541; NSF NRF-2015R1A2A2A01008404 |
PMID:26585518 | SCR_022562 | Average Nucleotide Identity | 2026-09-12 01:03:01 | 90 | |||||||||
|
CHISEL Resource Report Resource Website 1+ mentions |
CHISEL (RRID:SCR_023220) | CHISEL | software application, software resource | Software tool to infer allele and haplotype specific copy numbers in individual cells from low coverage single cell DNA sequencing data. Integrates weak allelic signals across individual cells, powering strength of single cell sequencing technologies to overcome weakness. Includes global clustering of RDRs and BAFs, and rigorous model selection procedure for inferring genome ploidy that improves both inference of allele specific and total copy numbers. | infer allele and haplotype specific copy numbers, individual cells, low coverage single cell DNA sequencing data, weak allelic signals, weak signals integration, | Chan Zuckerberg Initiative DAF grants ; NCI P30CA072720; NCI U24CA211000; NHGRI R01HG007069; NSF CCF 1053753; O’Brien Family Fund for Health Research ; Wilke Family Fund for Innovation |
DOI:10.1038/s41587-020-0661-6 | Free, Available for download, Freely available | SCR_023220 | Copy-number Haplotype Inference in Single-cell by Evolutionary Links | 2026-09-12 01:03:03 | 3 | |||||||
|
TEtranscripts Resource Report Resource Website 10+ mentions |
TEtranscripts (RRID:SCR_023208) | software resource, software toolkit | Software package for including transposable elements in differential enrichment analysis of sequencing datasets. Used for including transposable elements in differential expression analysis of RNA-seq datasets. RNAseq TE quantification tool. | Transposable Elements, transposable elements, RNAseq TE, sequencing datasets, RNAseq TE quantification | uses: DESeq2 | NCI CA 045508; NSF MCB 1159098; Rita Allen Foundation |
PMID:26206304 | Free, Available for download, Freely available | SCR_023208 | 2026-09-12 01:03:03 | 16 | ||||||||
|
DADA2 Resource Report Resource Website 1000+ mentions |
DADA2 (RRID:SCR_023519) | software resource, software toolkit | Open source software R package for modeling and correcting Illumina sequenced amplicon errors. Fast and accurate sample inference from amplicon data with single nucleotide resolution. | modeling and correcting amplicon errors, Illumina sequenced amplicon errors, amplicon errors, sample inference, amplicon data, single nucleotide resolution |
is used by: ImmuMicrobiome is related to: dadasnake has parent organization: Stanford University; Stanford; California |
NIAID R01AI112401; NSF ; Samarth Foundation |
PMID:27214047 | Free, Available for download, Freely available | https://bioconductor.org/packages/dada2/ | SCR_023519 | 2026-09-12 01:03:05 | 1134 | |||||||
|
GeneWays Resource Report Resource Website |
GeneWays (RRID:SCR_000572) | Geneways | service resource | System for automatically extracting, analzying, visualizing and integrating molecular pathway data from the research literature. System focuses on interactions between molecular substances and actions, providing a graphical consensus view on the collected information. GeneWays is designed as open platform, allowing researchers to query, review and critique integrated information. | pathway, molecule, literature, natural language processing, gene, protein, interaction, database |
is listed by: OMICtools has parent organization: Argonne National Laboratory has parent organization: Columbia University; New York; USA |
DOE ; NIGMS GM61372; NSF |
PMID:15016385 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-30019, SCR_008368, OMICS_01182 | http://anya.igsb.anl.gov/genewaysApp | SCR_000572 | GeneWays: A System for Extracting Analyzing Visualizing and Integrating Molecular Pathway Data, GeneWays: A System for Extracting Analyzing Visualizing Integrating Molecular Pathway Data | 2026-09-12 01:03:10 | 0 | ||||
|
Antarctic and Southern Ocean Data Portal Resource Report Resource Website |
Antarctic and Southern Ocean Data Portal (RRID:SCR_002193) | ASODS | data or information resource, data set | Accepts and provides access to geoscience data, primarily marine, collected from oceanographic expeditions in the Antarctic region. The synthesis began in 2003 as the Antarctic Multibeam Bathymetry and Geophysical Data Synthesis (AMBS) with a focus on multibeam bathymetry field data and other geophysical data from the Southern Ocean collected with the R/V N. B. Palmer. In 2005, the effort was expanded to include all routine underway geophysical and oceanographic data collected with both the R/V N. B. Palmer and R/V L. Gould, the two primary research vessels serving the US Antarctic Program. Data available include seafloor bathymetry, subbottom profiling, trackline gravity and magnetics, meteorological, and water column data as well as basic cruise information for all Palmer and Gould expeditions. Seafloor bathymetry data are provided both as raw swath data as well as in gridded form through the Global Multi-Resolution Topography (GMRT) synthesis. This gridded compilation of seafloor bathymetry data can be accessed through GeoMapApp, Create Maps and Grids and through an OGC-compliant Web Map Service. GeoMapApp is an integrated mapping application that provides access to many additional regional bathymetric grids, seismic, radar, gravity and magnetics profiles as well as other map and grid compilations for the Antarctic continent including LIMA. | oceanography, ocean, marine, antarctic, southern ocean, geoscience, polar, seafloor, bathymetry, subbottom profiling, trackline gravity, magnetics, meteorological, water column, map, grid |
is listed by: CINERGI is listed by: re3data.org has parent organization: Marine Geoscience Data System |
NSF | Free, Freely available | nlx_154703 | SCR_002193 | Antarctic & Southern Ocean Data Portal | 2026-09-12 01:03:12 | 0 | ||||||
|
Bisque Resource Report Resource Website 10+ mentions |
Bisque (RRID:SCR_005564) | Bisque | software resource, source code | A scalable web-based system for biological image analysis, management and exploration. The Bisque system incorporates many features useful to imaging researchers from image capture to extensible image analysis and querying. At the core, bisque maintains a flexible database of images and experimental metadata. Image analyses can be incorporated into the system and deployed on clusters and desktops. Search and comparison of datasets by image data and content is supported. Novel semantic analyses are integrated into the system allowing high level semantic queries and comparison of image content. New features and testing of Bisque version: 0.5.1, among many others are: # Parallel execution of datasets # Rich interfaces for autogenerated module UI # Abstracted storage system for local, irods, etc.. They are using Mercurial for their source control system. This should be installed before proceeding. Browse source on-line, http://biodev.ece.ucsb.edu/projects/bisquik/browser Bisque Installation, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/InstallationInstructions05 Bisque DOWNLOAD, http://biodev.ece.ucsb.edu/projects/bisquik/wiki/download, THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025. | image, biology, annotate, metadata, analysis, magnetic resonance |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) has parent organization: Center for Bio-Image Informatics |
NSF ITR-0331697; NSF IIS-0808772 |
PMID:20031971 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_144653 | http://www.nitrc.org/projects/bisque | SCR_005564 | Bio-Image Semantic Query User Environment, Bisque - Bio-Image Semantic Query User Environment | 2026-09-12 01:03:15 | 20 | ||||
|
Panel Study of Income Dynamics Resource Report Resource Website 10+ mentions |
Panel Study of Income Dynamics (RRID:SCR_008976) | PSID | data or information resource, data set | Long-term longitudinal dataset with information on generational links and socioeconomic and health conditions of individuals over time. The central foci of the data are economic and demographic, with substantial detail on income sources and amounts, wealth, savings, employment, pensions, family composition changes, childbirth and marriage histories, and residential location. Over the life of the PSID, the NIA has funded supplements on wealth, health, parental health and long term care, housing, and the financial impact of illness, thus also making it possible to model retirement and residential mobility. Starting in 1999, much greater detail on specific health conditions and health care expenses is included for respondent and spouse. Other enhancements have included a question series about emotional distress (2001); the two stem questions from the Composite International Diagnostic Interview to assess symptoms of major depression (2003); a supplement on philanthropic giving and volunteering (2001-03); a question series on Internet and computer use (2003); linkage to the National Death Index with cause of death information for more than 4,000 individuals through the 1997 wave, updated for each subsequent wave; social and family history variables and GIS-linked environmental data; basic data on pension plans; event history calendar methodology to facilitate recall of employment spells (2001). The reporting unit is the family: single person living alone or sharing a household with other non-relatives; group of people related by blood, marriage, or adoption; unmarried couple living together in what appears to be a fairly permanent arrangement. Interviews were conducted annually from 1968 through 1997; biennial interviewing began in 1999. There is an oversample of Blacks (30%). Waves 1990 through 1995 included a 20% Hispanic oversample; within the Hispanic oversample, Cubans and Puerto Ricans were oversampled relative to Mexicans. All data from 1994 through 2001 are available as public release files; prior waves can be obtained in archive versions. The special files with weights for families are also available. Restricted files include the Geocode Match File with information for 1968 through 2001, the 1968-2001 Death File, and the 1991 Medicare Claims File. * Dates of Study: 1968-2003 * Study Features: Longitudinal, Minority Oversampling * Sample Size: 65,000+ Links * ICPSR Series: http://www.icpsr.umich.edu/icpsrweb/ICPSR/series/00131 * ICPSR 1968-1999: Annual Core Data: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/07439 * ICPSR 1968-1999: Supplemental Files: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03202 * ICPSR 1989-1990: Latino Sample: http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/03203 | longitudinal, minority, employment, income, wealth, expenditure, health, marriage, childbearing, child development, philanthropy, education, family income, attitude, economic behavior, economic change, economic condition, employment history, family, family history, fertility, food aid, household expenditure, household income, housing, population trend, poverty, social change, social indicator, socioeconomic status, african-american, survey, interview, questionnaire, census data, latino, economic status, demographic, intergeneration, individual, health condition, economic, income source, income amount, pension, family composition, childbirth, marriage history, residential location, emotional distress, hispanic, cuban, puerto rican, mexican |
is listed by: Inter-university Consortium for Political and Social Research (ICPSR) has parent organization: University of Michigan; Ann Arbor; USA |
Aging | NIA ; U.S. Department of Health and Human Services ; APSE ; United States Department of Agriculture ; NICHD ; NSF |
Public, Acknowledgement requested | nlx_152067 | SCR_008976 | Panel Study of Income Dynamics - PSID, PSID - A national survey of socioeconomics and health over lifetimes and across generations, Panel Study of Income Dynamics (PSID) | 2026-09-12 01:03:18 | 21 |
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.
