Filter
Reset all

Subjects

Content Types

Countries

API

Certificates

Data access

Data access restrictions

Database access

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
  • 1 (current)
Found 8 result(s)
The GWAS Catalog is an open access repository of all human genome wide association studies. It is considered the “go-to” resource for genetic evidence of associations between common genetic variation and diseases or phenotypes, is accessed by scientists, clinicians and other users worldwide, and is integrated with numerous other resources. Association data and metadata are identified and extracted from the scientific literature by expert data curators. Submissions of full genome wide summary data can be made directly by authors, either before or after journal publication.
The Evidence-based Practice Center (EPC) at Tufts Medical Center, with support from the Agency for Healthcare Research and Quality (AHRQ), has developed the Systematic Review Data Repository (SRDR), which is a Web-based tool for data extraction and storage of systematic review data. Potential users include patients, policy makers/stakeholders, independent researchers, research centers, and funders of research.
The KNB Data Repository is an international repository intended to facilitate ecological, environmental and earth science research in the broadest senses. For scientists, the KNB Data Repository is an efficient way to share, discover, access and interpret complex ecological, environmental, earth science, and sociological data and the software used to create and manage those data. Due to rich contextual information provided with data in the KNB, scientists are able to integrate and analyze data with less effort. The data originate from a highly-distributed set of field stations, laboratories, research sites, and individual researchers. The KNB supports rich, detailed metadata to promote data discovery as well as automated and manual integration of data into new projects. The KNB supports a rich set of modern repository services, including the ability to assign Digital Object Identifiers (DOIs) so data sets can be confidently referenced in any publication, the ability to track the versions of datasets as they evolve through time, and metadata to establish the provenance relationships between source and derived data.
A community platform to Share Data, Publish Data with a DOI, and get Citations. Advancing Spinal Cord Injury research through sharing of data from basic and clinical research.
Content type(s)
>>>!!!<<< Data originally published in the JCB DataViewer has been moved BioStudies. Please note that while the majority of data were moved, some authors opted to remove their data completely. >>>!!!<<< Migrated data can be found at https://www.ebi.ac.uk/biostudies/JCB/studies. Screen data are available in the Image Data Resource repository. http://idr.openmicroscopy.org/webclient/?experimenter=-1 >>>!!!<<< The DataViewer was decommissioned in 2018 as the journal evolved to an all-encompassing archive policy towards original source data and as new data repositories that go beyond archiving data and allow investigators to make new connections between datasets, potentially driving discovery, emerged. JCB authors are encouraged to make available all datasets included in the manuscript from the date of online publication either in a publicly available database or as supplemental materials hosted on the journal website. We recommend that our authors store and share their data in appropriate publicly available databases based on data type and/or community standard. >>>!!!<<<
The BigBrain Project repository contains data from BigBrain: A high-resolution, 3D model of a human post-mortem brain, which was obtained in accordance with ethical requirements of the University of Düsseldorf. The brain of a 65-year-old body donor was sectioned, stained for cell bodies, scanned at very high resolution, and then digitally reconstructed in 3D. The full dataset of images, volumes, and surfaces are available for download on the project's ftp site, while a subset of files offering different spatial resolutions can be accessed via LORIS. The web-based 3D interactive atlas viewer is capable of displaying very large brain volumes, including oblique slicing, a whole brain overview, surface meshes, and maps. It enables navigating the BigBrain in 3D, exploring the growing set of highly detailed maps for cortical layers and cytoarchitectonic areas, and finding related neuroscience data.