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Found 139 result(s)
---<<< This repository is no longer available. This record is out-dated >>>--- The ONS challenge contains open solubility data, experiments with raw data from different scientists and institutions. It is part of the The Open Notebook Science wiki community, ideally suited for community-wide collaborative research projects involving mathematical modeling and computer simulation work, as it allows researchers to document model development in a step-by-step fashion, then link model prediction to experiments that test the model, and in turn, use feeback from experiments to evolve the model. By making our laboratory notebooks public, the evolutionary process of a model can be followed in its totality by the interested reader. Researchers from laboratories around the world can now follow the progress of our research day-to-day, borrow models at various stages of development, comment or advice on model developments, discuss experiments, ask questions, provide feedback, or otherwise contribute to the progress of science in any manner possible.
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DIGIBUG aims to collect, compile and organise the scientific, teaching and institutional digital documents produced by the University of Granada to support research, teaching and learning.
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The RAMEDIS system is a platform independent, web-based information system for rare metabolic diseases based on filed case reports. It was developed in close cooperation with clinical partners to allow them to collect information on rare metabolic diseases with extensive details, e.g. about occurring symptoms, laboratory findings, therapy and molecular data.
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Open Government Data Portal of Tamil Nadu is a platform (designed by the National Informatics Centre), for Open Data initiative of the Government of Tamil Nadu. The portal is intended to publish datasets collected by the Tamil Nadu Government for public uses in different perspective. It has been created under Software as A Service (SaaS) model of Open Government Data (OGD) and publishes dataset in open formats like CSV, XLS, ODS/OTS, XML, RDF, KML, GML, etc. This data portal has following modules, namely (a) Data Management System (DMS) for contributing data catalogs by various state government agencies for making those available on the front end website after a due approval process through a defined workflow; (b) Content Management System (CMS) for managing and updating various functionalities and content types; (c) Visitor Relationship Management (VRM) for collating and disseminating viewer feedback on various data catalogs; and (d) Communities module for community users to interact and share their views and common interests with others. It includes different types of datasets generated both in geospatial and non-spatial data classified as shareable data and non-shareable data. Geospatial data consists primarily of satellite data, maps, etc.; and non-spatial data derived from national accounts statistics, price index, census and surveys produced by a statistical mechanism. It follows the principle of data sharing and accessibility via Openness, Flexibility, Transparency, Quality, Security and Machine-readable.
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The Health Atlas is an alliance of medical ontologists, medical systems biologists and clinical trials groups to design and implement a multi-functional and quality-assured atlas. It provides models, data and metadata on specific use cases from medical research projects from the partner institutions.
HepSim is a public repository with Monte Carlo simulations for particle-collision experiments. It contains predictions from leading-order (LO) parton shower models, next-to-leading order (NLO) and NLO with matched parton showers. It also includes Monte Carlo events after fast ("parametric") and full (Geant4) detector simulations and event reconstruction.
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idUS is the digital archive that gives access to full text of the scientific production of the University of Seville and their datasets. Its objective is to gather, preserve and disseminate the documents and data resulting from the scientific activity of the University, making the documents visible, accessible, recoverable, usable and preservable for any user.
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The Open Archive for Miscellaneous Data (OMIX) database is a data repository developed and maintained by the National Genomics Data Center (NGDC). The database specializes in descriptions of biological studies, including genomic, proteomic, and metabolomic, as well as data that do not fit in the structured archives at other databases in NGDC. It can accept various types of studies described via a simple format and enables researchers to upload supplementary information and link to it from the publication.
Brain Image Library (BIL) is an NIH-funded public resource serving the neuroscience community by providing a persistent centralized repository for brain microscopy data. Data scope of the BIL archive includes whole brain microscopy image datasets and their accompanying secondary data such as neuron morphologies, targeted microscope-enabled experiments including connectivity between cells and spatial transcriptomics, and other historical collections of value to the community. The BIL Analysis Ecosystem provides an integrated computational and visualization system to explore, visualize, and access BIL data without having to download it.
EBRAINS offers one of the most comprehensive platforms for sharing brain research data ranging in type as well as spatial and temporal scale. We provide the guidance and tools needed to overcome the hurdles associated with sharing data. The EBRAINS data curation service ensures that your dataset will be shared with maximum impact, visibility, reusability, and longevity, https://ebrains.eu/services/data-knowledge/share-data. Find data - the user interface of the EBRAINS Knowledge Graph - allows you to easily find data of interest. EBRAINS hosts a wide range of data types and models from different species. All data are well described and can be accessed immediately for further analysis.
Dataverse to host followup observations of galaxy clusters identified in South Pole Telescope SZ Surveys. This includes: 1) GMOS spectroscopy of low to moderate redshift galaxy clusters taken as a part of NOAO Large Survey Program 11A-0034 (PI: Christopher Stubbs).
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The Canadian Astronomy Data Centre (CADC) was established in 1986 by the National Research Council of Canada (NRC), through a grant provided by the Canadian Space Agency (CSA). Over the past 30 years the CADC has evolved from an archiving centre---hosting data from Hubble Space Telescope, Canada-France-Hawaii Telescope, the Gemini observatories, and the James Clerk Maxwell Telescope---into a Science Platform for data-intensive astronomy. The CADC, in partnership with Shared Services Canada, Compute Canada, CANARIE and the university community (funded through the Canadian Foundation for Innovation), offers cloud computing, user-managed storage, group management, and data publication services, in addition to its ongoing mission to provide permanent storage for major data collections. Located at NRC Herzberg Astronomy and Astrophysics Research Centre in Victoria, BC, the CADC staff consists of professional astronomers, software developers, and operations staff who work with the community to develop and deliver leading-edge services to advance Canadian research. The CADC plays a leading role in international efforts to improve the scientific/technical landscape that supports data intensive science. This includes leadership roles in the International Virtual Observatory Alliance and participation in organizations like the Research Data Alliance, CODATA, and the World Data Systems. CADC also contributes significantly to future Canadian projects like the Square Kilometre Array and TMT. In 2019, the Canadian Astronomy Data Centre (CADC) delivered over 2 Petabytes of data (over 200 million individual files) to thousands of astronomers in Canada and in over 80 other countries. The cloud processing system completed over 6 million jobs (over 1100 core years) in 2019.
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<<<!!!<<< This repository is no longer available. >>>!!!>>> C3-Grid is an ALREADY FINISHED project within D-Grid, the initiative to promote a grid-based e-Science framework in Germany. The goal of C3-Grid is to support the workflow of Earth system researchers. A grid infrastructure will be implemented that allows efficient distributed data processing and inter-institutional data exchange. Aim of the effort was to develop an infrastructure for uniform access to heterogeneous data and distributed data processing. The work was structured in two projects funded by the Federal Ministry of Education and Research. The first project was part of the D-Grid initiative and explored the potential of grid technology for climate research and developed a prototype infrastructure. Details about the C3Grid architecture are described in “Earth System Modelling – Volume 6”. In the second phase "C3Grid - INAD: Towards an Infrastructure for General Access to Climate Data" this infrastructure was improved especially with respect to interoperability to Earth System Grid Federation (ESGF). Further the portfolio of available diagnostic workflows was expanded. These workflows can be re-used now in adjacent infrastructures MiKlip Evaluation Tool (http://www.fona-miklip.de/en/index.php) and as Web Processes within the Birdhouse Framework (http://bird-house.github.io/). The Birdhouse Framework is now funded as part of the European Copernicus Climate Change Service (https://climate.copernicus.eu/) managed by ECMWF and will be extended to provide scalable processing services for ESGF hosted data at DKRZ as well as IPSL and BADC.
The Seamount Catalog is a digital archive for bathymetric seamount maps from all the oceans that can be viewed and downloaded in various formats. This catalog contains morphological data, sample information, related grid and multibeam data files, as well as user-contributed files that all can be downloaded.
Content type(s)
>>>This repository is no longer available<<< Go-Geo is an online resource discovery tool which allows for the identification and retrieval of records describing the content, quality, condition and other characteristics of geospatial data that exist with UK tertiary education and beyond. The portal supports geospatial searching by interactive map, grid co-ordinates and place name, as well as the more traditional topic or keyword forms of searching. The portal is a key component of the UK academic Spatial Data Infrastructure.
This is a database for vegetation data from West Africa, i.e. phytosociological and dendrometric relevés as well as floristic inventories. The West African Vegetation Database has been developed in the framework of the projects “SUN - Sustainable Use of Natural Vegetation in West Africa” and “Biodiversity Transect Analysis in Africa” (BIOTA, https://www.biota-africa.org/).
The PeptideAtlas validates expressed proteins to provide eukaryotic genome data. Peptide Atlas provides data to advance biological discoveries in humans. The PeptideAtlas accepts proteomic data from high-throughput processes and encourages data submission.
>>>!!!<<< On June 1, 2020, the Academic Seismic Portal repositories at UTIG were merged into a single collection hosted at Lamont-Doherty Earth Observatory. Content here was removed July 1, 2020. Visit the Academic Seismic Portal @LDEO! https://www.marine-geo.org/collections/#!/collection/Seismic#summary (https://www.re3data.org/repository/r3d100010644) >>>!!!<<<
CorrDB has data of cattle, relating to meat production, milk production, growth, health, and others. This database is designed to collect all published livestock genetic/phenotypic trait correlation data, aimed at facilitating genetic network analysis or systems biology studies.
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<<<!!!<<< There are no more data available. >>>!!!>>> HalOcAt brings together global oceanic and atmospheric data of mainly short-lived brominated and iodinated trace gases.
MycoCosm, the DOE JGI’s web-based fungal genomics resource, which integrates fungal genomics data and analytical tools for fungal biologists. It provides navigation through sequenced genomes, genome analysis in context of comparative genomics and genome-centric view. MycoCosm promotes user community participation in data submission, annotation and analysis.