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Cite this (Cell Centered Database, RRID:SCR_002168)


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

THIS RESOURCE IS NO LONGER IN SERVICE, documented June 5, 2017. It has been merged with Cell Image Library. Database for sharing and mining cellular and subcellular high resolution 2D, 3D and 4D data from light and electron microscopy, including correlated imaging that makes unique and valuable datasets available to the scientific community for visualization, reuse and reanalysis. Techniques range from wide field mosaics taken with multiphoton microscopy to 3D reconstructions of cellular ultrastructure using electron tomography. Contributions from the community are welcome. The CCDB was designed around the process of reconstruction from 2D micrographs, capturing key steps in the process from experiment to analysis. The CCDB refers to the set of images taken from microscope the as the Microscopy Product. The microscopy product refers to a set of related 2D images taken by light (epifluorescence, transmitted light, confocal or multiphoton) or electron microscopy (conventional or high voltage transmission electron microscopy). These image sets may comprise a tilt series, optical section series, through focus series, serial sections, mosaics, time series or a set of survey sections taken in a single microscopy session that are not related in any systematic way. A given set of data may be more than one product, for example, it is possible for a set of images to be both a mosaic and a tilt series. The Microscopy Product ID serves as the accession number for the CCDB. All microscopy products must belong to a project and be stored along with key specimen preparation details. Each project receives a unique Project ID that groups together related microscopy products. Many of the datasets come from published literature, but publication is not a prerequisite for inclusion in the CCDB. Any datasets that are of high quality and interest to the scientific community can be included in the CCDB.

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Cite this ( Science and Research Data Catalog, RRID:SCR_003927)


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

A catalog of high-value public science and research data sets from across the Federal Government.

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Cite this (Gene Weaver, RRID:SCR_003009)


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

Freely accessible phenotype-centered database with integrated analysis and visualization tools. It combines diverse data sets from multiple species and experiment types, and allows data sharing across collaborative groups or to public users. It was conceived of as a tool for the integration of biological functions based on the molecular processes that subserved them. From these data, an empirically derived ontology may one day be inferred. Users have found the system valuable for a wide range of applications in the arena of functional genomic data integration.

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Cite this (, RRID:SCR_004386)


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

Public, high-value federal datasets, tools, and applications using data about health and health care gathered from agencies across the U.S. government.

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Cite this (NeuroVault, RRID:SCR_003806)


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

Data repository where researchers can publicly store and share unthresholded statistical brain activation maps produced by MRI and PET studies.

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Cite this (NIDA Data Share, RRID:SCR_002002)


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

Website which allows data from completed clinical trials to be distributed to investigators and the public. This site allows researchers to download de-identified data from completed NIDA clinical trial studies to conduct analyses that improve the quality of drug abuse treatment. Secondary analyses produced from data sharing multiply the scientific contribution of the original research. The website incorporates data from the Division of Therapeutics and Medical Consequences and Center for Clinical Trials Network.

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Cite this (NIF Registry Automated Crawl Data, RRID:SCR_012862)


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

An automatic pipeline based on an algorithm that identifies new resources in publications every month to assist the efficiency of NIF curators. The pipeline is also able to find the last time the resource''''s webpage was updated and whether the URL is still valid. This can assist the curator in knowing which resources need attention. Additionally, the pipeline identifies publications that reference existing NIF Registry resources as this is also of interest. These mentions are available through the Data Federation version of the NIF Registry, The RDF is based on an algorithm on how related it is to neuroscience. (hits of neuroscience related terms). Each potential resource gets assigned a score (based on how related it is to neuroscience) and the resources are then ranked and a list is generated.

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Cite this (Physiobank, RRID:SCR_006949)


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

Archive of well-characterized digital recordings of physiologic signals and related data for use by the biomedical research community. PhysioBank currently includes databases of multi-parameter cardiopulmonary, neural, and other biomedical signals from healthy subjects and patients with a variety of conditions with major public health implications, including sudden cardiac death, congestive heart failure, epilepsy, gait disorders, sleep apnea, and aging. The PhysioBank Archives now contain over 700 gigabytes of data that may be freely downloaded. PhysioNet is seeking contributions of data sets that can be made freely available in PhysioBank. Contributions of digitized and anonymized (deidentified) physiologic signals and time series of all types are welcome. If you have a data set that may be suitable, please review PhysioNet''s guidelines for contributors and contact them.

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