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URL: https://bossdb.org/
Proper Citation: Brain Observatory Storage Service and Database (BossDB) (RRID:SCR_017273)
Description: BossDB (Brain Observatory Storage Service and Database) is a cloud-based ecosystem for the storage and management of public large-scale volumetric neuroimaging and connectomics datasets. This includes volumetric Electron Microscopy and X-Ray Micro/Nanotomography data with support for multi-channel image data, segmentations, annotations, meshes, and connectomes. BossDB integrates with community resources for data access, processing, visualization, and analysis, and includes an API that enables metadata management, rendering, datatype conversions, and ingest.
Abbreviations: BossDB, bossDB, BOSS DB
Synonyms: Brain Observatory Storage Service, bossDB, Block and Object Storage Service, BOSSDB, Block and Object Storage Service Database, Brain Observatory Storage Service and Database, BossDB
Resource Type: 3d spatial image, data or information resource, data repository, database, image, service resource, storage service resource
Defining Citation: DOI:10.1101/217745
Keywords: Johns Hopkins University Applied Physics Laboratory, JHU/APL, database, electron microscopy, xray, data, storage, archive, BRAIN Initiative, EM, XRM, XNH, ecosystem
Funding: BRAIN Initiative ; NIMH R24 MH114785
Availability: Open
Resource Name: Brain Observatory Storage Service and Database (BossDB)
Resource ID: SCR_017273
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
