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on page 1 showing 20 out of 72 results

Cite this (3D DTI Atlas of the Rat Brain In Postnatal Day 5 14 and Adulthood, RRID:SCR_009437)

URL: http://www.nitrc.org/projects/dti_rat_atlas/

Resource Type: Resource, atlas, reference atlas, data or information resource

3D DTI anatomical rat brain atlases have been created by the UNC- Chapel Hill Department of Psychiatry and the CAMID research collaboration. There are three age groups, postnatal day 5, postnatal day 14, and postnatal day 72. The subjects were Sprague-Dawley rats that were controls in a study on cocaine abuse and development. The P5 and P14 templates were made from scans of twenty rats each (ten female, ten male); the P72, from six females. The individual cases have been resampled to isotropic resolution, manually skull-stripped, and deformably registered via an unbiased atlas building method to create a template for each age group. Each template was then manually segmented using itk-SNAP software. Each atlas is made up of 3 files, a template image, a segmentation, and a label file.

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Cite this (Add Health (National Longitudinal Study of Adolescent Health), RRID:SCR_007434)

URL: http://www.cpc.unc.edu/projects/addhealth

Resource Type: Resource, 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.

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Cite this (Adult Mouse Anatomy Ontology, RRID:SCR_006568)

URL: http://www.informatics.jax.org/searches/AMA_form.shtml

Resource Type: Resource, ontology, data or information resource, controlled vocabulary

Ontology that organizes anatomical structures for the adult mouse (Theiler stage 28) spatially and functionally, using ''is a'' and ''part of'' relationships. The ontology is used to describe expression data for the adult mouse and phenotype data pertinent to anatomy in standardized ways. The browser can be used to view anatomical terms and their relationships in a hierarchical display.

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Cite this (Archive of Data on Disability to Enable Policy ADDEP, RRID:SCR_016315)

URL: https://www.icpsr.umich.edu/icpsrweb/content/addep/index.html

Resource Type: Resource, service resource, data repository, storage service resource

ADDEP provides access to data including a wide range of topics related to disability. ADDEP data can be used to better understand and inform the implementation of the Americans with Disabilities Act and other disability policies.

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Cite this (BMAP - Brain Molecular Anatomy Project, RRID:SCR_008852)

URL: http://trans.nih.gov/bmap/index.htm

Resource Type: Resource, topical portal, portal, funding resource, data or information resource

The Brain Molecular Anatomy Project is a trans-NIH project aimed at understanding gene expression and function in the nervous system. BMAP has two major scientific goals: # Gene discovery: to catalog of all the genes expressed in the nervous system, under both normal and abnormal conditions. # Gene expression analysis: to monitor gene expression patterns in the nervous system as a function of cell type, anatomical location, developmental stage, and physiological state, and thus gain insight into gene function. In pursuit of these goals, BMAP has launched several initiatives to provide resources and funding opportunities for the scientific community. These include several Requests for Applications and Requests for Proposals, descriptions of which can be found in this Web site. BMAP is also in the process of establishing physical and electronic resources for the community, including repositories of cDNA clones for nervous system genes, and databases of gene expression information for the nervous system. Most of the BMAP initiatives so far have focused on the mouse as a model species because of the ease of experimental and genetic manipulation of this organism, and because many models of human disease are available in the mouse. However, research in humans, other mammalian species, non-mammalian vertebrates, and invertebrates is also being funded through BMAP. For the convenience of interested investigators, we have established this Web site as a central information resource, focusing on major NIH-sponsored funding opportunities, initiatives, genomic resources available to the research community, courses and scientific meetings related to BMAP initiatives, and selected reports and publications. When appropriate, we will also post initiatives not directly sponsored by BMAP, but which are deemed relevant to its goals. Posting decisions are made by the Trans-NIH BMAP Committee

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Cite this ( BMAP cDNA Resources , RRID:SCR_002973)

URL: http://trans.nih.gov/bmap/resources/resources.htm

Resource Type: Resource, topical portal, resource, production service resource, material service resource, service resource, portal, biomaterial manufacture, data or information resource

As part of BMAP gene discovery efforts, mouse brain cDNA libraries and Expressed Sequence Tags (ESTs) have been generated. Through this project a BMAP mouse brain UniGene set consisting of over 24,000 non-redundant members of unique clusters has been developed from EST sequencing of more than 50,000 cDNA clones from 10 regions of adult mouse brain, spinal cord, and retina (http://brainEST.eng.uiowa.edu/). In 2001, NIMH along with NICHD, NIDDK, and NIDA, awarded a contract to the University of Iowa ( M.B. Soares, PI) to isolate full-length cDNA clones corresponding to genes expressed in the developing mouse nervous system and determine their full-coding sequences. The BMAP mouse brain EST sequences can be accessed at NCBI's dbEST database (http://www.ncbi.nlm.nih.gov/dbEST/). Arrayed sets of BMAP mouse brain UniGenes and cDNA libraries, and individual BMAP cDNA clones can be purchased from Open Biosystems, Huntsville, AL (http://www.openbiosystems.com

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Cite this (Brain atlas of the common marmoset, RRID:SCR_005135)

URL: http://udn.nichd.nih.gov/brainatlas_home.html

Resource Type: Resource, atlas, data or information resource

The first brain atlas for the common marmoset to be made available since a printed atlas by Stephan, Baron and Schwerdtfeger published in 1980. It is a combined histological and magnetic resonance imaging (MRI) atlas constructed from the brains of two adult female marmosets. Histological sections were processed from Nissl staining and digitized to produce an atlas in a large format that facilitates visualization of structures with significant detail. Naming of identifiable brain structures was performed utilizing current terminology. For the present atlas, an adult female was perfused through the heart with PBS followed by 10% formalin. The brain was then sent to Neuroscience Associates of Knoxville, TN, who prepared the brain for histological analysis. The brain was cut in the coronal (frontal) plane at 40 microns, every sixth section stained for Nissl granules with thionine and every seventh section stained for myelinated fibers with the Weil technique. The mounted sections were photographed at the NIH (Medical Arts and Photography Branch). The equipment used was a Nikon Multiphot optical bench with Zeiss Luminar 100 mm lens, and scanned with a Better Light 6100 scan back driven by Better Light Viewfinder 5.3 software. The final images were saved as arrays of 6000x8000 pixels in Adobe Photoshop 6.0. A scale in mm provided with these images permitted construction of the final Nissl atlas files with a horizontal and vertical scale. Some additional re-touching (brightness and contrast) was done with Adobe Photoshop Elements 2.0. The schematic (labeled) atlas plates were created from the Nissl images. The nomenclature came almost exclusively from brainmaps.org, where a rhesus monkey brain with structures labeled can be found. The labels for the MRI images were placed by M. R. Zametkin, under supervision from Dr. Newman.

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Cite this ( Center for Inherited Disease Research , RRID:SCR_007339)

URL: http://www.cidr.jhmi.edu/

Resource Type: Resource, resource, production service resource, analysis service resource, training service resource, material analysis service, service resource, biomaterial analysis service, data computation service

Next generation sequencing and genotyping services provided to investigators working to discover genes that contribute to disease. On-site statistical geneticists provide insight into analysis issues as they relate to study design, data production and quality control. In addition, CIDR has a consulting agreement with the University of Washington Genetics Coordinating Center (GCC) to provide statistical and analytical support, most predominantly in the areas of GWAS data cleaning and methods development. Completed studies encompass over 175 phenotypes across 530 projects and 620,000 samples. The impact is evidenced by over 380 peer-reviewed papers published in 100 journals. Three pathways exist to access the CIDR genotyping facility: * NIH CIDR Program: The CIDR contract is funded by 14 NIH Institutes and provides genotyping and statistical genetic services to investigators approved for access through competitive peer review. An application is required for projects supported by the NIH CIDR Program. * The HTS Facility: The High Throughput Sequencing Facility, part of the Johns Hopkins Genetic Resources Core Facility, provides next generation sequencing services to internal JHU investigators and external scientists on a fee-for-service basis. * The JHU SNP Center: The SNP Center, part of the Johns Hopkins Genetic Resources Core Facility, provides genotyping to internal JHU investigators and external scientists on a fee-for-service basis. Data computation service is included to cover the statistical genetics services provided for investigators seeking to identify genes that contribute to human disease. Human Genotyping Services include SNP Genome Wide Association Studies, SNP Linkage Scans, Custom SNP Studies, Cancer Panel, MHC Panels, and Methylation Profiling. Mouse Genotyping Services include SNP Scans and Custom SNP Studies.

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Cite this (Cerebellar Gene Regulation in Time and Space Database, RRID:SCR_001699)

URL: http://www.cbgrits.org/

Resource Type: Resource, data set, data or information resource, database

Time-series data sets spanning twelve time-points between E12-P9 for exploring cerebellar development of the mouse in time and space. The database contains a number of mutant / wildtype microarray datasets including two complete wildtype microarray time-series (C57BL/6 and DBA/2J). The dataset also includes in situ hybridization and bioinformatic analyses. Exploration of this dataset will allow the investigator to assess differential gene expression profiles from a developing mutant cerebella, to assess the temporal changes in gene expression in the wildtype, and to verify the cellular expression of these genes in images from our in situ hybridization library. Using the database, the investigator can explore the developmental expression or differential expression patterns of a particular gene, or create lists of similarly expression genes by building simple search algorithms. These lists can then be mined across all the datasets in both space and time. Cb GRiTS's current datasets represent gene expression analyses from multiple cerebellar mutant and wildtype single time-point and developmental series.

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Cite this ( Cooperative Study Group for Autoimmune Disease Prevention , RRID:SCR_006803)

URL: http://www.niaid.nih.gov/about/organization/dait/pages/csgadp.aspx

Resource Type: Resource, knowledge environment, resource

Collaborative network of investigators with a focus on prevention of autoimmune disease, defined as halting the development of autoimmune disease prior to clinical onset by means other than global immunosuppression, and an emphasis on Type 1 diabetes. Its mission is to engage in scientific discovery that significantly advances knowledge for the prevention and regulation of autoimmune disease. The specific goals enunciated in pursuit of this mission are: * To create improved models of disease pathogenesis and therapy to better understand immune mechanisms that will provide opportunities for prevention strategies * To use these models as validation platforms with which to test new tools applicable to human studies * To encourage core expertise and collaborative projects designed for rapid translation from animal to human studies, emphasizing the development of surrogate markers for disease progression and/or regulation which can be utilized in the context of clinical trials

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Cite this (Data and Specimen Hub (DASH), RRID:SCR_016314)

URL: https://dash.nichd.nih.gov/

Resource Type: Resource, service resource, data repository, storage service resource

NICHD DASH is a centralized resource for researchers to store and access de-identified data from NICHD funded research studies for the purposes of secondary research use. It serves as a mechanism for NICHD-funded extramural and intramural investigators to share research data from studies in accordance with the NIH Data Sharing Policy and the NIH Genomic Data Sharing Policy.

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Cite this (Databrary, RRID:SCR_010471)

URL: http://databrary.org/

Resource Type: Resource, database, software repository, service resource, storage service resource, software resource, data repository, data or information resource

An open data repository (beta, June 2014) for behavioral developmental science focusing on the preservation of video and audio recordings, research data and analytical tools, and metadata. In cases where participants give appropriate permission or there is no concern about violating privacy, the general public may view the information.

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Cite this (Data Sharing for Demographics Research (DSDR), RRID:SCR_016310)

URL: http://www.icpsr.umich.edu/icpsrweb/content/DSDR/index.html

Resource Type: Resource, service resource, data repository, storage service resource

DSDR disseminates, archives, and preserves data for population-based studies. By providing access to data on topics including mortality and health, fertility, family and household structure, and children and youth, DSDR aims to facilitate demographic research.

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    DFLAT

Cite this (DFLAT, RRID:SCR_010738)

URL: http://bcb.cs.tufts.edu/dflat/

Resource Type: Resource, narrative resource, data set, standard specification, data or information resource

We are an interdisciplinary team dedicated to annotating gene function related to human fetal development. We are contributing new functional annotation to the Gene Ontology, curating and mining gene sets suitable for the interpretation of developmental genomic data, and creating the computational tools needed to apply genomics for better understanding the molecular mechanisms of human development. Our GO annotation is in the process of being incorporated into the GOA public release. The GONE (Gene Ontology Non-Eligible) database is where we store annotations relevant to our research but that don''t quite meet GOA''s standards. Usually an annotation falls into this category because either the gene/protein described is a family of genes/proteins rather than a specific one, there is no UniProt ID to identify the gene/protein in the system, a GO term does not yet exist to describe the particular function, process, or location of the gene/protein, the species is not clearly identifiable in the paper, or the evidence is not as reliable (GO evidence codes TAS and NAS). As individual annotations these are more suspect than current GO annotation. However, for functional analysis of expression data, these gene sets can be valuable even with a certain amount of noise. We also include here a link to the supplementary data from our forthcoming PSB 2011 paper on gene set mining.

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Cite this (Diabetes Research in Children Network, RRID:SCR_001512)

URL: http://direcnet.jaeb.org/

Resource Type: Resource, disease-related portal, topical portal, bibliography, research forum portal, data set, slide, portal, clinical trial, data or information resource

Network of clinical centers and a coordinating center that investigate the potential use of glucose monitoring technology and its impact on the management of type 1 diabetes in children. Specific goals for the network include the following: * Assess the accuracy of continuous monitoring devices in order to determine if these devices are useful in improving glycemic control and preventing hypoglycemia in children with T1DM. * Determine the optimal utilization of continuous glucose monitors in the management of T1DM in children. * Assess the impact of continuous glucose monitoring on quality of life for the child and family. * Develop tools for the child and parents to use for incorporating continuous glucose monitors into diabetes self-management. * To assess possible changes in neurocognitive function and how it relates to frequency of hypoglycemia in young children with type 1 diabetes. * Evaluate and develop distinct, age-appropriate treatment approaches to T1DM in children. * Use continuous glucose monitoring to characterize the glycemic profile of nondiabetic children. * Develop statistical methods for the analysis of continuous glucose monitoring data. Closed and active studies are listed along with the associated protocols, public datasets, and publications.

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    DRIFTER

Cite this (DRIFTER, RRID:SCR_014937)

URL: http://becs.aalto.fi/en/research/bayes/drifter/

Resource Type: Resource, software resource, image analysis software, data processing software, software application

Model based Bayesian method for eliminating physiological noise from fMRI data. This algorithm uses image voxel analysis to isolate the cardiac and respiratory noise from the relevant data.

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    DSHB

Cite this (DSHB, RRID:SCR_013527)

URL: http://dshb.biology.uiowa.edu/

Resource Type: Resource, reagent supplier, material resource, antibody supplier

An antibody supplier which banks and distributes hybridomas and monoclonal antibodies for use in research. The bank includes antibodies against targets such as GFP, transcription factors, stem cells, and human.

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Cite this (FishFace - An atlas of zebrafish craniofacial development, RRID:SCR_008894)

URL: https://www.facebase.org/fishface/home

Resource Type: Resource, atlas, reference atlas, data or information resource

ishFace is an atlas of zebrafish craniofacial development. How do the elements of the craniofacial skeleton arise, grow, and reshape? Answers to this question are coming from both molecular-genetic and cell-biological approaches, which rely, first of all, on precise description of the developmental events and processes that comprise skeletogenesis. Zebrafish, with a sophisticated knowledge of its genetics and genomics, with favorable attributes for phenotypic analyses of development, and with patterns of development conserved among all vertebrates, provides a powerful animal model for learning about craniofacial development. In particular, with current transgenic approaches one can examine craniofacial skeletal elements in exquisite cellular detail during an extended period of development within living, intact embryos and larvae an investigative method unsurpassed in accuracy and sensitivity. We constructed this developmental atlas of the craniofacial skeleton, FishFace, to serve as a guide for such study. We hope that the FishFace Atlas will be particularly useful in comparative and mutational analyses where there is interest in understanding the cellular basis of early skeletogenesis. The heart of the FishFace Atlas uses high magnification (generally a 40x objective) confocal image stacks showing transgenically-labelled chondrocytes or osteoblasts, along with mineralized bone matrix, which is visualized by vital staining with Alizarin red. We present these stacks in sequences that follow particular individual cartilages and bones of the first two pharyngeal arches as they develop during embryonic and larval stages. To do so, we build on the foundation set out in the gold standard reference for describing comprehensively skeletal elements in the zebrafish craniofacial complex, Cubbage and Mabee (1996), which used fixed preparations stained for cartilage and bone through adult stages. The FishFace Atlas element development section adds considerable detail to arch one and two early development, particularly at the cellular level, but also in description of element growth and shaping. Other sections of the FishFace Atlas, at lower magnification, provide anatomical context for the element development section, including an interactive tool made by optical projection tomography (OPT) for learning the anatomy of the entire larval skull. Hence, the FishFace Atlas provides the community with an interactive resource with which the user can understand not only the cellular details, but also complex 3D anatomical relationships, of developing elements in the craniofacial skeleton of the zebrafish.

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Cite this (FluencyBank, RRID:SCR_016313)

URL: http://fluency.talkbank.org/

Resource Type: Resource, service resource, data repository, storage service resource

FluencyBank is a shared database for the study of the development of fluency in both normal and disordered populations. Participants include normally-developing monolingual and bilingual children, children with disfluencies (CWD), adults with disfluencies (AWSD), and second language learners.

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Cite this (Functional Regression Analysis of DTI Tract Statistics, RRID:SCR_002293)

URL: http://www.nitrc.org/projects/frats/

Resource Type: Resource, software resource, image analysis software, data processing software, software application

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.

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