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http://www.essentialtremor.us/

Finding a cure for any neurological disorder begins with the scientific study of the disorder''s causes, processes, and development in the brain. For essential tremor (ET), rigorous study of this kind had not been undertaken until 2003, when the Essential Tremor Centralized Brain Repository (ETCBR) was established at Columbia University. For the past five years, brain tissue from ET donors has been collected, processed and compared alongside age-matched control brains at the ETCBR, and already several significant findings have been made. However, there is still much to learn and a severe shortage of ET brains for scientific study. If you have been diagnosed with essential tremor, donating your brain tissue in the hours immediately after your death is of utmost importance in providing crucial information about what causes ET. Direct analysis of the shape and number of nerve cells and their content will provide medical researchers with the information they need in order to understand this complex illness. By advancing our medical knowledge of ET, the gift of brain tissue is a central piece of the puzzle in the search to develop better treatments and find a cure.

Proper citation: Essential Tremor Centralized Brain Repository (RRID:SCR_004464) Copy   

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http://www.na-mic.org/

The National Alliance for Medical Image Computing (NA-MIC) is a multi-institutional, interdisciplinary team of computer scientists, software engineers, and medical investigators who develop computational tools for the analysis and visualization of medical image data. The purpose of the Center is to provide the infrastructure and environment for the development of computational algorithms and open-source technologies, and then oversee the training and dissemination of these tools to the medical research community. Electronic resources provided by NA-MIC include software, data, tutorials, presentations, and more.

Proper citation: National Alliance for Medical Image Computing (RRID:SCR_004460) Copy   

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http://datashare.ucsf.edu/

Platform to facilitate sharing, discovery, and secure access to UCSF biomedical data. It''s powered by the Dataverse Network platform, which supports a variety of data types, as well as attribution and licensing needs. Researchers may share datasets, discover data from other labs, and reuse data. Links to tools and information that help scientists properly organize, manage, and document their datasets are also provided.

Proper citation: UCSF DataShare (RRID:SCR_004340) Copy   

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https://brainspan.org/

Atlas of developing human brain for studying transcriptional mechanisms involved in human brain development. One of the BrainSpan datasets, Exon microarray summarized to genes, is presented. It is a downloadable archive of files containing normalized RNA-Seq expression values for analysis.

Proper citation: BrainSpan (RRID:SCR_004219) Copy   

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http://www.xenbase.org/anatomy/xao.do?method=display

A structured, controlled vocabulary of the anatomy and development of the African clawed frogs (Xenopus laevis and tropicalis), organized in a graphical structure. Tissues are shown as being part of other tissues and the timing of their development is indicated by start and end stages. The lineage of tissues is represented by develops from relationships between different tissues at different developmental stages. Many items have been classified according to the Common Anatomy Reference Ontology. The Xenopus Anatomical Ontology will be used to annotate Xenopus gene expression patterns and mutant and morphant phenotypes. Its robust developmental map will enable powerful database searches and data analyses. They encourage community recommendations for updates and improvements to the ontology.

Proper citation: Xenopus Anatomy Ontology (RRID:SCR_004337) Copy   

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http://neuroandpsych.slu.edu/

The Department of Neurology & Psychiatry aims to 1) provide the best psychiatric and neurological care to patients and their families, 2) discover and investigate new treatments for psychiatric and nervous system disorders, 3) study psychosocial processes in psychiatric and neurological illness, and 4) educate the next generation of practitioners, as well as our patients and the lay community. The Department of Neurology & Psychiatry (DNP) was established on June 1, 2007. The Department has 34 faculty members and is planning continued expansion. There are 7 psychiatrists, 18 neurologists, 4 child neurologists, and 5 NIH-supported PhD investigators. The DNP is one of five departments in the country that combines the disciplines of neurology and psychiatry. We are unique in having two strong residency programs and are the only that attempts to establish a new paradigm in care of patients with neurological and psychiatric disease through co-management initiatives. * Division of Psychiatry: The Psychiatrists work within four areas: Adult, Geriatric, Community, and Forensic Psychiatry. * Division of Neurology: The division has an extremely active stroke/intensive care and general neurology service. We are expanding services in neurocritical care and interventional neurology. * Education: The DNP has approximately 25 residents/fellows in each discipline. * Research: The DNP has robust programs in clinical, basic, and translational research. We emphasize 3 areas in this overview of the DNP. ** Clinical Research Unit ** Psychosocial Processes Group ** Translational Neuromuscular Disease VISION STATEMENT All members of the Saint Louis University Department of Neurology & Psychiatry will collaborate to support state-of-the-art neurological and psychiatric education, compassionate patient care, and a growing research enterprise. The Department will develop the most exciting intellectual environment in the Nation for investigation, treatment, and training in psychiatry and neurology. We will fulfill this Vision in an environment of mutual respect and collaboration.

Proper citation: St. Louis University Department of Neurology and Psychiatry (RRID:SCR_004297) Copy   

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http://bioinfo.au.tsinghua.edu.cn/software/TAGS/

Software tool for gene set enrichment analysis for expression time series, which can incorporate existing knowledge and analyze the dynamic property of a group of genes that have functional or structural associations. The installation file is for Windows., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: TAGS (RRID:SCR_004294) Copy   

•   Source: SciCrunch Registry

http://neuro.debian.net/

Collection based on a collaborative effort of popular neuroscience research software for the Debian operating system as well as Ubuntu and other derivatives. Popular packages include AFNI, FSL, PyMVPA and many others. It contains both unofficial or prospective packages which are not (yet) available from the main Debian archive, as well as backported or simply rebuilt packages also available elsewhere. A listing of current and planned projects is available if you want to get involved. The main goal of the project is to provide a versatile and convenient environment for neuroscientific research that is based on open-source software. To this end, the project offers a package repository that complements the main Debian (and Ubuntu) archive. NeuroDebian is not yet another Linux distribution, but rather an effort inside the Debian project itself. Software packages are fully integrated into the Debian system and from there will eventually migrate into Ubuntu as well. With NeuroDebian, installing and updating neuroscience software is no different from any other part of the operating system. Maintaining a research software environment becomes as easy as installing an editor. There is also virtual machine to test NeuroDebian on Windows or Mac OS. If you want to see your software packaged for Debian, please drop them a note.

Proper citation: neurodebian (RRID:SCR_004401) Copy   

•   Source: SciCrunch Registry

http://www.aidshivresearch.com/

AIDS and HIV Research is a disease-related portal that includes Articles, News, Jobs, Free Journals, Links, Forum, Structures, Labs & Rankings. * AIDS and HIV research links are profiled and rated. You can rate each website and view the websites in a number of categories including portals, blogs, databases, software and several other categories. Below you will find the top 10 rated AIDS and HIV research links. * Recent AIDS and HIV research literature is highlighted. We have taken the entire set of AIDS and HIV research articles and arranged them according to their previous or expected citation rate. This allows you to quickly identify the most important articles in the field. * Recent AIDS and HIV research news and press releases are highlighted. We scour over 20,000 news sources to bring you the latest AIDS and HIV research news. * AIDS and HIV research laboratories are featured. We have actually profiled nearly 99% of all AIDS and HIV research laboratories. We have also ranked all labs based upon the citation rating of the papers of the principal investigator. Laboratories may alter information on each lab page including picture, publications, affiliation, and biography. You will find the top 20 AIDS and HIV research laboratories.

Proper citation: AIDS and HIV Research (RRID:SCR_004243) Copy   

•   Source: SciCrunch Registry

http://kwanlab.bio.cuhk.edu.hk/BSRD/

A repository for bacterial small regulatory RNA. They welcome you to submit new experimental validated sRNA targets.

Proper citation: BSRD (RRID:SCR_004249) Copy   

•   Source: SciCrunch Registry

http://en.ecgpedia.org/wiki/Main_Page

Free online electrocardiography (ECG) course and textbook via a wiki where anyone can contribute and changes are supervised by physicians. Learn from cases and examples. It designed for medical professionals such as cardiac care nurses and physicians. All content is freely accessible. The information on this site should NOT be used as a substitute for the advice of an appropriately qualified and licensed physician or other health care provider. For questions like these we advise you to contact your physician.

Proper citation: ECGpedia (RRID:SCR_004486) Copy   

•   Source: SciCrunch Registry

http://www.researchinformatics.org/

An open-access portal for discussion, information sharing, and collaboration among those working to advance the rapidly developing field of clinical research informatics (CRI). We hope that you find the content useful and that you use our interactive features to contribute your knowledge and experience for the benefit of our community. Research Informatics.org Contents include: * CRI Initiatives * CRI News * CRI Events * CRI Resources * CRI Wiki * CRI Forum * CRI Blog

Proper citation: ResearchInformatics.org (RRID:SCR_004487) Copy   

•   Source: SciCrunch Registry

http://nematode.lab.nig.ac.jp/

Expression pattern map of the 100Mb genome of the nematode Caenorhabditis elegans through EST analysis and systematic whole mount in situ hybridization. NEXTDB is the database to integrate all information from their expression pattern project and to make the data available to the scientific community. Information available in the current version is as follows: * Map: Visual expression of the relationships among the cosmids, predicted genes and the cDNA clones. * Image: In situ hybridization images that are arranged by their developmental stages. * Sequence: Tag sequences of the cDNA clones are available. * Homology: Results of BLASTX search are available. Users of the data presented on our web pages should not publish the information without our permission and appropriate acknowledgment. Methods are available for: * In situ hybridization on whole mount embryos of C.elegans * Protocols for large scale in situ hybridization on C.elegans larvae

Proper citation: NEXTDB (RRID:SCR_004480) Copy   

•   Source: SciCrunch Registry

http://scientificdatasharing.com/

While many data sharing programs exist worldwide, widespread sharing of raw data has not yet won across-the-board acceptance in the scientific community, and the very existence of all these databases makes the approach fractured at best. The Data Sharing Project, launched last year by University of California-San Francisco Professor Michael Weiner, has two goals: One is to make widespread raw data sharing a reality initially in the realm of medicine through creation of a repository system accessible to all researchers; the second goal is to foster broad scientific support for this move and its adoption in other fields of research. With major projects such as the Human Genome Project demonstrating the tremendous scientific breakthroughs made possible by data sharing and with the decline of technological barriers impeding such efforts, the time has come to work to achieve widespread sharing of raw data worldwide. The Data Sharing Project proposes to further this goal initially in the field of medicine by working to create a raw data sharing program that will serve as a model to other disciplines attempting to make their own way in this arena. The Northern California Institute for Research and Education (NCIRE) together with the University of California-San Francisco and support from the Michael J. Fox Foundation is now in the process of canvassing the scientific community to analyze the best possible data sharing program and practices to establish in the field of medicine.

Proper citation: Scientific Data Sharing Project (RRID:SCR_004481) Copy   

•   Source: SciCrunch Registry

http://www.mscenter.org/research/tissue-bank/

Scientists throughout the world depend on the Rocky Mountain MS Center Tissue Bank to supply high quality human brain tissue and cerebral spinal fluid to support their research. Funded in part by the National MS Society, the Tissue Bank is one of only four MS-related tissue banks in the nation. The Tissue Bank has distributed specimens to more than 160 investigators worldwide and over 1,600 people have consented to be donors after death. Tissue banks provide a unique bridge between those who live with MS and the scientific community. Studies conducted with samples from the Center have led to several important discoveries and 130 publications. While deeply personal, the decision to donate has far-reaching effects as scientists unlock the mysteries of multiple sclerosis. If you would like to donate, arrangements must be made in advance because it is important that tissue is taken within a few hours of death. For more information on making a donation, visit the How To Donate section of this website and contact the Rocky Mountain MS Center Tissue Bank at 303.788.4030 x111.

Proper citation: Rocky Mountain MS Center Tissue Bank (RRID:SCR_004361) Copy   

•   Source: SciCrunch Registry

http://www.abc.net.au/rn/allinthemind/default.htm

Radio National''s weekly foray into all things mental a program (podcast) about the mind, brain and behavior, hosted by Lynne Malcolm (previously by Natasha Mitchell). From dreaming to depression, addiction to artificial intelligence, consciousness to coma, psychoanalysis to psychopathy, free will to forgetting ��All in the Mind��explores the human condition through the mind''s eye. All in the Mind brings together unexpected voices, themes and ideas and engages with both leading thinkers and personal stories. Psychology and human behavior are only part of the equation. The program''s scope is considerably broader and explores themes in science, religion, health, philosophy, education, history and pop culture, with the mind as the key focus.

Proper citation: All In The Mind (RRID:SCR_004240) Copy   

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http://yogo.msu.montana.edu/

A set of software tools created to rapidly build scientific data-management applications. These applications will enhance the process of data annotation, analysis, and web publication. The system provides a set of easy-to-use software tools for data sharing by the scientific community. It enables researchers to build their own custom-designed data management systems. The problem of scientific data management rests on several challenges. These include flexible data storage, a way to share the stored data, tools to curate the data, and history of the data to show provenance. The Yogo Framework gives you the ability to build scientific data management applications that address all of these challenges. The Yogo software is being developed as part of the NeuroSys project. All tools created as part of the Yogo Data Management Framework are open source and released under an OSI approved license.

Proper citation: Yogo Data Management System (RRID:SCR_004239) Copy   

•   Source: SciCrunch Registry

http://openconnectomeproject.org/

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on January 9, 2023. Connectomes repository to facilitate the analysis of connectome data by providing a unified front for connectomics research. With a focus on Electron Microscopy (EM) data and various forms of Magnetic Resonance (MR) data, the project aims to make state-of-the-art neuroscience open to anybody with computer access, regardless of knowledge, training, background, etc. Open science means open to view, play, analyze, contribute, anything. Access to high resolution neuroanatomical images that can be used to explore connectomes and programmatic access to this data for human and machine annotation are provided, with a long-term goal of reconstructing the neural circuits comprising an entire brain. This project aims to bring the most state-of-the-art scientific data in the world to the hands of anybody with internet access, so collectively, we can begin to unravel connectomes. Services: * Data Hosting - Their Bruster (brain-cluster) is large enough to store nearly any modern connectome data set. Contact them to make your data available to others for any purpose, including gaining access to state-of-the-art analysis and machine vision pipelines. * Web Viewing - Collaborative Annotation Toolkit for Massive Amounts of Image Data (CATMAID) is designed to navigate, share and collaboratively annotate massive image data sets of biological specimens. The interface is inspired by Google Maps, enhanced to allow the exploration of 3D image data. View the fork of the code or go directly to view the data. * Volume Cutout Service - RESTful API that enables you to select any arbitrary volume of the 3d database (3ddb), and receive a link to download an HDF5 file (for matlab, C, C++, or C#) or a NumPy pickle (for python). Use some other programming language? Just let them know. * Annotation Database - Spatially co-registered volumetric annotations are compactly stored for efficient queries such as: find all synapses, or which neurons synapse onto this one. Create your own annotations or browse others. *Sample Downloads - In addition to being able to select arbitrary downloads from the datasets, they have also collected a few choice volumes of interest. * Volume Viewer - A web and GPU enabled stand-alone app for viewing volumes at arbitrary cutting planes and zoom levels. The code and program can be downloaded. * Machine Vision Pipeline - They are building a machine vision pipeline that pulls volumes from the 3ddb and outputs neural circuits. - a work in progress. As soon as we have a stable version, it will be released. * Mr. Cap - The Magnetic Resonance Connectome Automated Pipeline (Mr. Cap) is built on JIST/MIPAV for high-throughput estimation of connectomes from diffusion and structural imaging data. * Graph Invariant Computation - Upload your graphs or streamlines, and download some invariants. * iPad App - WholeSlide is an iPad app that accesses utilizes our open data and API to serve images on the go.

Proper citation: Open Connectome Project (RRID:SCR_004232) Copy   

•   Source: SciCrunch Registry

http://www.mged.org/index.html

THIS RESOURCE IS NO LONGER IN SERVICE.Documented on July 7, 2022. Functional Genomics Data Society - FGED Society, founded in 1999 as the MGED Society, advocates for open access to genomic data sets and works towards providing concrete solutions to achieve this. Our goal is to assure that investment in functional genomics data generates the maximum public benefit. Our work on defining minimum information specifications for reporting data in functional genomics papers have already enabled large data sets to be used and reused to their greater potential in biological and medical research. We work with other organizations to develop standards for biological research data quality, annotation and exchange. We facilitate the creation and use of software tools that build on these standards and allow researchers to annotate and share their data easily. We promote scientific discovery that is driven by genome wide and other biological research data integration and meta-analysis.

Proper citation: Functional Genomics Data Society (RRID:SCR_004358) Copy   

•   Source: SciCrunch Registry

http://www.sysmo-db.org/

SysMO-DB is a project that is creating a web-based platform, and tooling, for finding, sharing and exchanging Data, Models and Processes in Systems Biology. It was designed to support the SysMO Consortium (Systems Biology for Micro-Organisms), but the principles and methods employed are equally applicable to other multi-site Systems Biology projects. All code is open source and available for download. SEEK, a component of SysMO-DB, is a private community collaboration and asset sharing platform for Systems Biology models, data and protocols serving 120 research institutions throughout Europe. SEEK is the main web-based access point to the system and provides an access control layer to enable researchers to restrict access to collaborators, colleagues or other individuals until they are ready to share with the whole consortium or the wider community. The main objectives of SysMO-DB are to: facilitate the web-based exchange of data between research groups within- and inter- consortia, and to provide an integrated platform for the dissemination of the results of the SysMO projects to the scientific community. We aim to devise a progressive and scalable solution to the data management needs of the SysMO initiative, that: * facilitates and maximizes the potential for data exchange between SysMO research groups; * maximizes the ''shelf life'' and utility of data generated by SysMO; * provides an integrated platform for the dissemination of the results of the SysMO projects to the scientific community; and * facilitates standardization of practices in Systems Biology for the interfacing of modeling and experimentation. We follow several key principles: * exploit what is already available, both within the consortium and outside it, and do not reinvent; * identify the least we can do to make a benefit and do this incrementally. SysMO-DB will soon be opening it up to the wider scientific community, but for now it is currently only available for those within the SysMO consortium.

Proper citation: SysMO-DB (RRID:SCR_004479) Copy   

•   Source: SciCrunch Registry