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Found 9 result(s)
The Earth System Grid Federation (ESGF) is an international collaboration with a current focus on serving the World Climate Research Programme's (WCRP) Coupled Model Intercomparison Project (CMIP) and supporting climate and environmental science in general. Data is searchable and available for download at the Federated ESGF-CoG Nodes https://esgf.llnl.gov/nodes.html
Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows and are the foundation for reporting standardized results. The choice of such references —i.e., templates— and atlases is one relevant source of methodological variability across studies, which has recently been brought to attention as an important challenge to reproducibility in neuroscience. TemplateFlow is a publicly available framework for human and nonhuman brain models. The framework combines an open database with software for access, management, and vetting, allowing scientists to distribute their resources under FAIR —findable, accessible, interoperable, reusable— principles. TemplateFlow supports a multifaceted insight into brains across species, and enables multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species, thereby contributing to increasing the reliability of neuroimaging results.
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depositar — taking the term from the Portuguese/Spanish verb for to deposit — is an online repository for research data. The site is built by the researchers for the researchers. You are free to deposit, discover, and reuse datasets on depositar for all your research purposes.
Country
RepOD is a general-purpose repository for open research data, offering all members of the academic community in Poland the possibility to deposit their work. It is intended for scientific data from all disciplines of knowledge and in all formats. The purpose of RepOD is to create a place where research data can be safely stored and openly shared with others.
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The ZFMK Biodiversity Data Center is aimed at hosting, archiving, publishing and distributing data from biodiversity research and zoological collections. The Biodiversity Data Center handles and curates data on: - The specimens of the institutes collection, including provenance, distribution, habitat, and taxonomic data. - Observations, recordings and measurements from field research, monitoring and ecological inventories. - Morphological measurements, descriptions on specimens, as well as - Genetic barcode libraries, and - Genetic and molecular research data associated with specimens or environmental samples. For this purpose, suitable software and hardware systems are operated and the required infrastructure is further developed. Core components of the software architecture are: The DiversityWorkbench suite for managing all collection-related information. The Digital Asset Management system easyDB for multimedia assets. The description database Morph·D·Base for morphological data sets and character matrices.
The Stanford Digital Repository (SDR) is Stanford Libraries' digital preservation system. The core repository provides “back-office” preservation services – data replication, auditing, media migration, and retrieval -- in a secure, sustainable, scalable stewardship environment. Scholars and researchers across disciplines at Stanford use SDR repository services to provide ongoing, persistent, reliable access to their research outputs.
LOVD portal provides LOVD software and access to a list of worldwide LOVD applications through Locus Specific Database list and List of Public LOVD installations. The LOVD installations that have indicated to be included in the global LOVD listing are included in the overall LOVD querying service, which is based on an API.
Launched in December 2013, Gaia is destined to create the most accurate map yet of the Milky Way. By making accurate measurements of the positions and motions of stars in the Milky Way, it will answer questions about the origin and evolution of our home galaxy. The first data release (2016) contains three-dimensional positions and two-dimensional motions of a subset of two million stars. The second data release (2018) increases that number to over 1.6 Billion. Gaia’s measurements are as precise as planned, paving the way to a better understanding of our galaxy and its neighborhood. The AIP hosts the Gaia data as one of the external data centers along with the main Gaia archive maintained by ESAC and provides access to the Gaia data releases as part of Gaia Data Processing and Analysis Consortium (DPAC).