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Collection of resting state fMRI (R-fMRI) datasets from sites around world. It demonstrates open sharing of R-fMRI data and aims to emphasize aggregation and sharing of well-phenotyped datasets.

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• SciCrunch
• 9 years ago - submitted by Isabella Froman

Imaging software that works with G:BOX Chemi and PXi imaging systems to automatically or manually capture images. GeneSys also includes a database containing information about applications such as fluorescence, chemiluminescence and chemifluorescence.

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• RRID-Legacy
• 9 years ago - by Anonymous

Long-term study of brain development and child health in the United States. The study tracks subjects' biological and behavioral development through adolescence into young adulthood to determine how childhood experiences (such as sports, videogames, social media, unhealthy sleep patterns, and smoking) interact with each other and with a child’s changing biology to affect brain development and social, behavioral, academic, health, and other outcomes.

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• SciCrunch
• 9 years ago - submitted by Anita Bandrowski

The Adolescent Brain Cognitive Development (ABCD) Study is the largest long-term study of brain development and child health in the United States. The National Institutes of Health (NIH) funded leading researchers in the fields of adolescent development and neuroscience to conduct this ambitious project. The ABCD Research Consortium consists of a Coordinating Center, a Data Analysis and Informatics Center, and 21 research sites across the country (see map), which will invite approximately 10,000 children ages 9-10 to join the study. Researchers will track their biological and behavioral development through adolescence into young adulthood. Using cutting-edge technology, scientists will determine how childhood experiences (such as sports, videogames, social media, unhealthy sleep patterns, and smoking) interact with each other and with a child’s changing biology to affect brain development and social, behavioral, academic, health, and other outcomes. The results of the ABCD Study will provide families; school superintendents, principals, and teachers; health professionals; and policymakers with practical information to promote the health, well-being, and success of children. The ABCD Study, in partnership with the NIMH Data Archive (NDA), is releasing fast-track data containing unprocessed neuroimaging data from ABCD Study participants to date, as well as basic participant demographics (age, sex), including: High-resolution structural data (3D T1 - and T2 - weighted scans) Advanced diffusion MRI (multiple b-values and directions) Resting State fMRI Task fMRI (Monetary Incentive Delay, Stop-Signal, and Emotional N-Back), along with raw E-Prime task files for each fMRI run Neuroimaging data are collected using a harmonized Human Connectome protocol, developed for the ABCD Study, and supported across all three major MRI scanner platforms (Siemens, General Electric, and Philips). Fast track data are in DICOM format as provided by the MRI scanners and have not undergone quality control or curation. As such, these data are most suitable for technical methods development, as the DICOM images would require pre-processing (e.g., distortion correction, movement correction, alignment) to be suitable for data analysis. The ABCD Study is designed to include a diverse population that reflects the demographics of the U.S., however these interim data may not capture that diversity as enrollment is not yet complete. Fast-track data will be released monthly.

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• SciCrunch
• 9 years ago - submitted by Anita Bandrowski

Web portal that allows free access to supercomputing resources for large scale modeling and data processing. Portal facilitates access and use of National Science Foundation (NSF) High Performance Computing (HPC) resources by neuroscientists.

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• NIF
• 9 years ago - submitted by Matt Travers

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 6,2026. Platform for mediation and integration of schizophrenia neuroimaging-related databases. It provides access to federated databases, novel mediation software, and large-scale data-sharing features.

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• SciCrunch
• 9 years ago - submitted by Yueling Li

Software for identifying associations between host genetic variation and microbiome composition. HOMINID is a computational approach based on Lasso linear regression, that given host genetic variation and microbiome taxonomic composition data, identifies host SNPs that are correlated with microbial taxa abundances.

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• SciCrunch
• 9 years ago - submitted by Ran Blekhman

Language standard for automating English language protocols. Autoprotocol specifies experimental protocols for biological research as a way to define experiments that could be run over the internet on remote robotic automation.

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• RRID-Legacy
• 9 years ago - submitted by Anita Bandrowski

Protocol repository for microfluidics experiments and chips. METAFLUIDICS provides a home for digital design files and other information necessary to reproduce or remix a microfluidic device.

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• RRID-Legacy
• 9 years ago - submitted by Anita Bandrowski

Robot with open source software that allows for configurable robotic science. The robot's primary function is automating pipette functions in biological research in order to save time for research labs.

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• RRID-Legacy
• 9 years ago - submitted by Anita Bandrowski

Software language for methods to simplify protocols into reusable components that can be exchanged or removed to produce simple, reproducible, and scalable workflows. It allows users to develop, execute, and analyse biological experiments faster, while also introducing standardization and modularity to bioengineering.

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• RRID-Legacy
• 9 years ago - submitted by Anita Bandrowski

Workflow software and methods language to improve the reproducibility of research results in the scientific community. The Aquarium Project aims to provide the means to specify, as precisely as possible, how to obtain a result using a combination of formal statements, informal descriptions, and photographs.

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• RRID-Legacy
• 9 years ago - submitted by Anita Bandrowski

Cloud-based framework that allows users to estimate the age of individual subjects using cortical thickness maps derived from their own locally processed T1-weighted whole brain MRI scans. The provided age prediction models were trained using (i) relevance vector machines and (ii) Gaussian processes machine learning methods applied to cortical thickness surfaces obtained using Freesurfer v5.3.

• RRID-Legacy
• 9 years ago - submitted by David Kennedy

Software toolkit for atomistic simulations to explore how carbohydrates function. Applications include the preparation of structures for glycolipids, nanocellulose, and glycans linked to glycoproteins.

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• SciCrunch
• 9 years ago - submitted by Fabio Lolicato

Dataset that can be used to train and test Machine Learning Models to detect cyber-attacks to an indoor real time localization system for autonomous robots. The data was gathered in an indoor mock-up apartment using an autonomous robot with an on-board Real Time Location System (RTLS).

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• RRID-Legacy
• 9 years ago - by Anonymous

Dataset that can be used to analyze cyber-attacks to an indoor real time localization system for autonomous robots. Data have been gathered in an indoor mock-up apartment using an autonomous robot with an on-board Real Time Location System (RTLS).

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• RRID-Legacy
• 9 years ago - by Anonymous

Matlab software toolkit designed to facilitate Granger-causal analysis with multivariate and possibly multi-trial time series data. Annotated demonstration scripts are available which may be used as templates to assist in this the toolbox's functions.

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• NIF
• 9 years ago - submitted by Maryann Martone

Analysis software for analysis of finite elements and simulations of 3D shape changes in a tissue that result from patterns of growth. It works with Matlab to model biological growth of leaves, petals, and similar organs.

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• RRID-Legacy
• 9 years ago - by Anonymous

Software that supports biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiplehypothesis testing.

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• RRID-Legacy
• 9 years ago - submitted by Anh Nguyet Vu

Software for detecting the integrated copy number variation regions (CNVRs) using population sequencing data. The high-confidence CNVRs are discovered and refined by both individual and population criteria, and the result is a VCF format genotype file which can be used in GWAS/QLT research.

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• SciCrunch
• 9 years ago - submitted by Yu Jiang