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http://www.g-node.org/data

Platform for sharing data, with very large storage capability for electrophysiological data, EEG data is included. This service is provided for neuroscientists to facilitate data access, data storage, data analysis and data sharing. This service is developed and maintained by the German Node of the International Neuroinformatics Coordinating Facility. The global scale of neuroinformatics offers unprecedented opportunities for scientific collaborations between and among experimental and theoretical neuroscientists. To fully harvest these possibilities, coordinated activities are required to improve key ingredients of neuroscience: data access, data storage, and data analysis, together with supporting activities for teaching and training. Focusing on the development and free distribution of tools for handling and analyzing neurophysiological data, G-Node aims at addressing these aspects as part of the International Neuroinformatics Coordination Facility (INCF) and the German Bernstein Network for Computational Neuroscience (NNCN). G-Node also serves as an international forum for Computational Neuroscientists that are interested in sharing experimental data and tools for data analysis and modeling. G-Node is funded through the German Federal Ministry of Education and Research and hosted by Ludwig-Maximilians-Universit-Munchen.

Proper citation: G-node portal electrophysiology data sharing (RRID:SCR_008893) Copy   

•   Source: SciCrunch Registry

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

Tool to assist site staff with curation of data dictionary, data item, and subject item files for preparation to uploading and sharing data with DbGaP resource.

Proper citation: DbGaP Cleaner (RRID:SCR_009462) Copy   

•   Source: SciCrunch Registry

http://itools.loni.usc.edu/

An infrastructure for managing of diverse computational biology resources - data, software tools and web-services. The iTools design, implementation and meta-data content reflect the broad NCBC needs and expertise (www.NCBCs.org).

Proper citation: iTools (RRID:SCR_009626) Copy   

•   Source: SciCrunch Registry

http://www.unavco.org/data/web-services/documentation/unavco-ws-api/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on July 31,2025. Web services to access UNAVCO data collection. Adding /gps, /met, /pore, /tilt, and /strain gives the sensor JSON description.

Proper citation: UNAVCO Geodetic Web Services (RRID:SCR_000181) Copy   

•   Source: SciCrunch Registry

http://harvard.eagle-i.net/i/0000012e-58c7-d44f-55da-381e80000000

Core to provide gene expression data analysis service. Activities range from the provision of services to fully collaborative grant funded investigations.

Proper citation: Harvard Partners HealthCare Center for Personalized Genetic Medicine Bioinformatics Core Facility (RRID:SCR_000882) Copy   

•   Source: SciCrunch Registry

http://www.bioconductor.org/packages/2.12/bioc/html/jmosaics.html

R software that detects enriched regions of ChIP-seq data sets jointly.

Proper citation: Jmosaics (RRID:SCR_001094) Copy   

•   Source: SciCrunch Registry

http://incf.org/programs/atlasing/projects/waxholm-space

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 1st, 2023. Coordinate based reference space for the mapping and registration of neuroanatomical data. Users can download image volumes representing the canonical Waxholm Space (WHS) adult C57BL/6J mouse brain, which include T1-, T2*-, and T2-Weighted MR volumes (generated at the Duke Center for In-Vivo Microscopy), Nissl-stained optical histology (acquired at Drexel University), and a volume of labels. All volumes are represented at 21.5μ isotropic resolution. Datasets are provided as gzipped NIFTI files.

Proper citation: Waxholm Space (RRID:SCR_001592) Copy   

•   Source: SciCrunch Registry

https://github.com/vital-ai/vital-documentation/wiki/Vital-AI-Ontology

Ontology for the four consensus human vital signs: blood pressure, body temperature, respiration rate, pulse rate. It provides a controlled structured vocabulary for describing vital signs measurement data, the various processes of measuring vital signs, and the various devices and anatomical entities participating in such measurements.

Proper citation: Vital Signs Ontology (RRID:SCR_001422) Copy   

•   Source: SciCrunch Registry

http://www.ncibi.org/

The Center develops conceptual models, computational infrastructure, an integrated knowledge repository, and query and analysis tools that enable scientists to effectively access and integrate the wealth of biological data. The National Center for Integrative Biomedical Informatics (NCIBI) was founded in October 2005 and is one of seven National Centers for Biomedical Computing (NCBC) in the NIH Roadmap. NCIBI is based at the University of Michigan as a part of the Center for Computational Medicine and Biology (CCMB). NCIBI is composed of biomedical researchers, computational biologists, computer scientists, developers and human-computer interaction specialists organized into seven major core functions. They work in interdisciplinary teams to collectively develop tools that are not only computationally powerful but also biologically relevant and meaningful. The four initial Driving Biological Projects (prostate cancer progression, Type 1 and type 2 diabetes and bipolar disorder) provide the nucleation point from which tool development is informed, launched, and tested. In addition to testing tools for function, a separate team is dedicated to testing usability and user interaction that is a unique feature of this Center. Once tools are developed and validated the goal of the Center is to share and disseminate data and software throughout the research community both internally and externally. This is achieved through various mechanisms such as training videos, tutorials, and demonstrations and presentations at national and international scientific conferences. NCIBI is supported by NIH Grant # U54-DA021519.

Proper citation: National Center for Integrative Biomedical Informatics (RRID:SCR_001538) Copy   

•   Source: SciCrunch Registry

http://www.farsight-toolkit.org/wiki/FARSIGHT_Toolkit

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23, 2022. A collection of software modules for image data handling, pre-processing, segmentation, inspection, editing, post-processing, and secondary analysis. These modules can be scripted to accomplish a variety of automated image analysis tasks. All of the modules are written in accordance with software practices of the Insight Toolkit Community. Importantly, all modules are accessible through the Python scripting language which allows users to create scripts to accomplish sophisticated associative image analysis tasks over multi-dimensional microscopy image data. This language works on most computing platforms, providing a high degree of platform independence. Another important design principle is the use of standardized XML file formats for data interchange between modules.

Proper citation: Farsight Toolkit (RRID:SCR_001728) Copy   

•   Source: SciCrunch Registry

https://github.com/ABCD-STUDY/DEAP

Web service for data exploration and analysis of the ABCD Study - the largest long-term study of brain development and child health in the United States.

Proper citation: DEAP - Data Exploration and Analysis Portal (RRID:SCR_016158) Copy   

•   Source: SciCrunch Registry

https://nemoarchive.org/

Data repository specifically focused on storage and dissemination of omic data generated from BRAIN Initiative and related brain research projects. Data repository and archive for BCDC and BICCN project, among others. NeMO data include genomic regions associated with brain abnormalities and disease, transcription factor binding sites and other regulatory elements, transcription activity, levels of cytosine modification, histone modification profiles and chromatin accessibility.

Proper citation: NeMOarchive (RRID:SCR_016152) Copy   

•   Source: SciCrunch Registry

http://hyphy.org/

Open source software package for comparative sequence analysis using stochastic evolutionary models. Used for analysis of genetic sequence data in particular the inference of natural selection using techniques in phylogenetics, molecular evolution, and machine learning.

Proper citation: HyPhy (RRID:SCR_016162) Copy   

•   Source: SciCrunch Registry

http://abacus.gene.ucl.ac.uk/software/indelible/

Software that generates nucleotide, amino acid and codon sequence data by simulating insertions and deletions (indels) as well as substitutions. It is used for biological sequence simulation of multi-partitioned nucleotide, amino-acid, or codon data sets through the processes of insertion, deletion, and substitution in continuous time.

Proper citation: Indelible (RRID:SCR_016163) Copy   

•   Source: SciCrunch Registry

https://github.com/ABCD-STUDY/FIONASITE

Software for uploading data to FIONA and capturing MR images and k-space data from medical image systems. It provides a web-interface to automate the data review (image viewer), integrate with the centralized electronic data record for assigning anonymized id's, and forward the data to the central archive.

Proper citation: FIONASITE (RRID:SCR_016012) Copy   

•   Source: SciCrunch Registry

https://github.com/ABCD-STUDY/Minimally-Processed-Image-Sharing

Software to share ABCD minimally processed data. It uploads minimally-processed MRI data to the NDA ( Non-Disclosure Agreement) ABCD (Adolescent Brain Cognitive Development) repository.

Proper citation: Minimally-Processed-Image-Sharing (RRID:SCR_016016) Copy   

•   Source: SciCrunch Registry

https://www.microsoft.com/en-gb/

Software application with data analysis tools and spreadsheet templates to track and visualize data. It is used to manage and process data.

Proper citation: Microsoft Excel (RRID:SCR_016137) Copy   

•   Source: SciCrunch Registry

https://github.com/ABCD-STUDY/Fast-Track-Image-Sharing

Software for sharing the ABCD (Adolescent Brain Cognitive Development) study data on the National Data Archive (NDA).

Proper citation: Fast-Track-Image-Sharing (RRID:SCR_016021) Copy   

•   Source: SciCrunch Registry

https://github.com/ABCD-STUDY/eprime-data-clean

Software to convert E-Prime (software tool for psychology computerized experiment design, data collection, and analysis) generated files to CSV files without errors during conversion. The ABCD project is using E-Prime to run behavioral tests.

Proper citation: eprime-data-clean (RRID:SCR_016020) Copy   

•   Source: SciCrunch Registry

http://gentle.magnusmanske.de

Software for DNA and amino acid editing, database management, plasmid maps, It can also be used for restriction and ligation, alignments, sequencer data import, calculators, gel image display, PCR, and more.

Proper citation: Gentle (RRID:SCR_016127) Copy   

•   Source: SciCrunch Registry