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http://www.nitrc.org/projects/genr/

An MRI resource which provides age-appropriate images of children. It includes an average, age-appropriate T1-weighted image, constructed from 130 typically developing children ages 6-to-10 and a set of 32 resting-state ICA components. These components were generated from 494 typically developing children, ages 6-to-10 years old, using the MELODIC ICA tool, bootstrapped with 1000 resamples. Both of these resources are described in detail in a manuscript submitted for publication.

Proper citation: Generation R Pediatric MRI Resources (RRID:SCR_014114) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/nusdast

A repository of schizophrenia neuroimaging data collected from over 450 individuals with schizophrenia, healthy controls and their respective siblings, most with 2-year longitudinal follow-up. The data include neuroimaging data, cognitive data, clinical data, and genetic data.

Proper citation: Northwestern University Schizophrenia Data and Software Tool (NUSDAST) (RRID:SCR_014153) Copy   

•   Source: SciCrunch Registry

http://www.nitrc.org/projects/niistat/

A set of Matlab scripts for analyzing neuroimaging data from clinical populations. The NiiStat tools are designed to correlate behavioral data (task performance) with brain imaging data.

Proper citation: NiiStat (RRID:SCR_014152) Copy   

•   Source: SciCrunch Registry

http://www.psygenet.org/web/PsyGeNET/menu;jsessionid=y6kqy9lqlxymr0nwwkkfo84

Knowledge platform on psychiatric disorders and their genes. Resource for exploratory analysis of psychiatric diseases and their associated genes. PsyGeNET is composed of database and set of analysis tools and is the result of the integration of information from DisGeNET and data extracted from the literature by text mining, followed by curation by domain experts.

Proper citation: PsyGeNET (RRID:SCR_014406) Copy   

•   Source: SciCrunch Registry

https://portal.bsc.gwu.edu/web/lifemoms

A consortium whose overall goal is to identify effective behavioral and lifestyle interventions that will improve weight, glycemic control and other pregnancy-related outcomes in obese and overweight pregnant women, and determine whether these interventions reduce obesity and metabolic abnormalities in their children. The study/consortium is comprised of seven clinical centers, with each clinical center conducting its own trial. Additional information on the consortium and individual trials is located in the Consortium Summaries tab.

Proper citation: Lifestyle Interventions for Expectant Moms (LIFE-Moms) (RRID:SCR_014376) Copy   

•   Source: SciCrunch Registry

https://ndar.nih.gov/tools_guid_tool.html

A customized software application that generates a Global Unique Identifier for each study participant. The GUID is a universal subject ID that allows researchers to share data specific to a study participant without exposing personally identifiable information (PII). The GUID has been approved by the NIH Office of General Counsel.

Proper citation: GUID Tool (RRID:SCR_014530) Copy   

•   Source: SciCrunch Registry

https://www.qut.edu.au/research/research-projects/landmark-biobanks

A repository of human tissue samples collected during the LANDMark study (Longitudinal Assessment of Neuropathy in Diabetes using novel ophthalmic markers). The LANDMark Biobank longitudinal dataset contains blood and tissue (skin) samples and matching detailed phenotypic data of three microvascluar complications of type 1 diabetes: neuropathy, nephropathy and retinopathy.

Proper citation: LANDMark BioBanks (RRID:SCR_014534) Copy   

•   Source: SciCrunch Registry

http://www.celllineauthentication.com/

A material analysis service of the commercial organization Genetica DNA Laboratories which provides authentication of human cancer cell lines, stem cell lines and xenografts utilizing STR DNA technology.

Proper citation: Cell Line Authentication Testing (RRID:SCR_014504) Copy   

•   Source: SciCrunch Registry

http://www.brainsimagebank.ac.uk

A searchable collection of anonymised images and associated clinical data. It includes normal individuals at all ages (from prenatal to old age). The image bank contains integrated data sets already collected as part of research studies which include control subjects. New data is added as they become available.

Proper citation: BRAINS Imagebank (RRID:SCR_014576) Copy   

•   Source: SciCrunch Registry

http://ibrain.nuaa.edu.cn/

Brain research group affiliated with the Nanjing University of Aeronautics and Astronautics (NUAA) in China. The main research interests of iBRAIN include developing methods in machine learning, data mining, neural computation, and related areas for decoding brain functions or recognizing brain disease. Research related code and datasets can be found on the main site.

Proper citation: iBRAIN (RRID:SCR_014691) Copy   

•   Source: SciCrunch Registry

http://annmap.picr.man.ac.uk/

A genome browser that includes mappings between genomic features and Affymetrix microarrays. Associated with annmap is: * a Bioconductor package, annmap that provides programmatic access to the underlying MySQL database tables (which are freely available for download on this site) * xmapbridge, a Bioconductor package that outputs numeric data in a form suitable for presentation in the browser. This is supported by XMapBridge, a Java client that sits on the local desktop and performs the graph rendering for the browser.

Proper citation: Annmap (RRID:SCR_011783) Copy   

•   Source: SciCrunch Registry

http://www.kinderklinik-datteln.de/

Proper citation: Vestische Children and Youth Clinic Dates; North Rhine-Westphalia; Germany (RRID:SCR_011759) Copy   

•   Source: SciCrunch Registry

http://tfclass.bioinf.med.uni-goettingen.de/tfclass

Database that classifies human transcription factors based on the characteristics of their DNA-binding domains. It comprises six levels (superclasses, classes, families, subfamilies, genera and factor species), two of which are optional (subfamilies and factor species). The full classification can also be obtained as html document and as ontology in obo-format., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TFClass (RRID:SCR_012018) Copy   

•   Source: SciCrunch Registry

http://www.scienceexchange.com/facilities/bioseek

BioSeek is a drug discovery services company that applies human primary cell assays and predictive disease models to the discovery and development of human therapeutics and safer chemicals. BioSeek improves the success rate of drug discovery and development by integrating human biology from the earliest stages of drug discovery onward through its unique BioMAP??????? platform. Our mission is to accelerate drug compound validation and enable our clients to take safer and more effective products into the market.

Proper citation: BioSeek (RRID:SCR_012224) Copy   

•   Source: SciCrunch Registry

http://www.ctotc.org

Project portal for a cooperative research program sponsored by the National Institute of Allergy and Infectious Diseases (NIAID). CTOT-C is an investigative consortium for conducting clinical and associated mechanistic studies that will lead to improved outcomes for pediatric heart, lung, or kidney transplant recipients.

Proper citation: Clinical Trials in Organ Transplantation in Children (CTOT-C) (RRID:SCR_015860) Copy   

•   Source: SciCrunch Registry

http://m6asnp.renlab.org

Web server implemented in JAVA and PHP for annotating genetic variants by m6A function. It predicts and annotates N6-methyladenosine (m6A) alterations from genetic variants data such as germline SNPs or cancer somatic mutations. It employs two accurate prediction models for human and mouse using Random Forest algorithm. It conducts a statistical analysis for all the predicted m6A alterations. Provides statistical diagrams and a genome browser to visualize the topology characteristics of predicted m6A alterations.

Proper citation: m6ASNP: Annotation of genetic variants by m6A function (RRID:SCR_016048) Copy   

•   Source: SciCrunch Registry

http://www.localite.de/en/products/tms-navigator/

An instrument. Navigation system for transcranial magnetic stimulation (TMS).

Proper citation: Localite TMS Navigator (RRID:SCR_016126) Copy   

•   Source: SciCrunch Registry

https://sites.google.com/ucsd.edu/drc/home

Research center across five institutions for clinical research in diabetes. Collaborators include UC San Diego's School of Medicine, Salk Institute, Cedars-Sinai Medical Center, UC Los Angeles' School of Medicine, and LA Biomedical Research Center.

Proper citation: University of California San Diego - University of California Los Angeles Diabetes Research Center (RRID:SCR_015100) Copy   

•   Source: SciCrunch Registry

http://www.uab.edu/shp/drc/

Research center which operates in collaboration with the University of Alabama Birmingham Comprehensive Diabetes Center to promote excellence in diabetes research and patient care. The DRC supports the areas of animal physiology, human biology and intervention and translational research. It focuses on developing new methods to treat, prevent, and ultimately cure diabetes and its complications.

Proper citation: University of Alabama at Birmingham Diabetes Research Center (RRID:SCR_015107) Copy   

•   Source: SciCrunch Registry

https://diabetes.med.umich.edu/partners/michigan-diabetes-research-center-mdrc

Multidisciplinary unit of the University of Michigan funded by the National Institute of Diabetes and Digestive and Kidney Diseases/National Institute of Health. Promotes new discoveries and enhance scientific progress through the support of basic and clinical research related to diabetes, its complications, and related disorders. Creates environment that supports innovative research; attracts and retains early stage investigators and investigators new to diabetes research; provides core services that leverage funding and unique expertise; fosters interdisciplinary collaborations; raises awareness and interest in fundamental and clinical diabetes research at their institutions, as well as locally, regionally, and nationally.

Proper citation: Michigan Diabetes Research Center (RRID:SCR_015112) Copy   

•   Source: SciCrunch Registry