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Found 48 result(s)
The Ontology Lookup Service (OLS) is a repository for biomedical ontologies that aims to provide a single point of access to the latest ontology versions. The user can browse the ontologies through the website as well as programmatically via the OLS API. The OLS provides a web service interface to query multiple ontologies from a single location with a unified output format.The OLS can integrate any ontology available in the Open Biomedical Ontology (OBO) format. The OLS is an open source project hosted on Google Code.
The ISSAID website gathers resources related to the systemic autoinflammatory diseases in order to facilitate contacts between interested physicians and researchers. The website provides support to share and rapidly disseminate information, thoughts, feelings and experiences to improve the quality of life of patients and families affected by systemic autoinflammatory diseases, and promote advances in the search for causes and cures.
Climate4impact: a dedicated interface to ESGF for the climate impact community The portal Climate4impact, part of the ENES Data Infrastructure, provides access to data and quick looks of global and regional climate models and downscaled higher resolution climate data. The portal provides data transformation tooling and mapping & plotting capabilities, guidance, documentation, FAQ and examples. The Climate4Impact portal will be further developed during the IS-ENES3 project (2019-2023)and moved to a different environment. Meanwhile the portal at https://climate4impact.eu will remain available, but no new information or processing options will be included. When the new portal will become available this will be announced on https://is.enes.org/.
As with most biomedical databases, the first step is to identify relevant data from the research community. The Monarch Initiative is focused primarily on phenotype-related resources. We bring in data associated with those phenotypes so that our users can begin to make connections among other biological entities of interest. We import data from a variety of data sources. With many resources integrated into a single database, we can join across the various data sources to produce integrated views. We have started with the big players including ClinVar and OMIM, but are equally interested in boutique databases. You can learn more about the sources of data that populate our system from our data sources page https://monarchinitiative.org/about/sources.
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.
The EUDAT project aims to contribute to the production of a Collaborative Data Infrastructure (CDI). The project´s target is to provide a pan-European solution to the challenge of data proliferation in Europe's scientific and research communities. The EUDAT vision is to support a Collaborative Data Infrastructure which will allow researchers to share data within and between communities and enable them to carry out their research effectively. EUDAT aims to provide a solution that will be affordable, trustworthy, robust, persistent and easy to use. EUDAT comprises 26 European partners, including data centres, technology providers, research communities and funding agencies from 13 countries. B2FIND is the EUDAT metadata service allowing users to discover what kind of data is stored through the B2SAFE and B2SHARE services which collect a large number of datasets from various disciplines. EUDAT will also harvest metadata from communities that have stable metadata providers to create a comprehensive joint catalogue to help researchers find interesting data objects and collections.
The CLARIN-D Centre CEDIFOR provides a repository for long-term storage of resources and meta-data. Resources hosted in the repository stem from research of members as well as associated research projects of CEDIFOR. This includes software and web-services as well as corpora of text, lexicons, images and other data.
mentha archives evidence collected from different sources and presents these data in a complete and comprehensive way. Its data comes from manually curated protein-protein interaction databases that have adhered to the IMEx consortium. The aggregated data forms an interactome which includes many organisms. mentha is a resource that offers a series of tools to analyse selected proteins in the context of a network of interactions. Protein interaction databases archive protein-protein interaction (PPI) information from published articles. However, no database alone has sufficient literature coverage to offer a complete resource to investigate "the interactome". mentha's approach generates every week a consistent interactome (graph). Most importantly, the procedure assigns to each interaction a reliability score that takes into account all the supporting evidence. mentha offers eight interactomes (Homo sapiens, Arabidopsis thaliana, Caenorhabditis elegans, Drosophila melanogaster, Escherichia coli K12, Mus musculus, Rattus norvegicus, Saccharomyces cerevisiae) plus a global network that comprises every organism, including those not mentioned. The website and the graphical application are designed to make the data stored in mentha accessible and analysable to all users. Source databases are: MINT, IntAct, DIP, MatrixDB and BioGRID.
GENCODE is a scientific project in genome research and part of the ENCODE (ENCyclopedia Of DNA Elements) scale-up project. The GENCODE consortium was initially formed as part of the pilot phase of the ENCODE project to identify and map all protein-coding genes within the ENCODE regions (approx. 1% of Human genome). Given the initial success of the project, GENCODE now aims to build an “Encyclopedia of genes and genes variants” by identifying all gene features in the human and mouse genome using a combination of computational analysis, manual annotation, and experimental validation, and annotating all evidence-based gene features in the entire human genome at a high accuracy.
The Estonian Social Science Data Archive (ESSDA) contains Estonian Social science data and survey data, as well as university publications and Estonian radio archival materials.
ANPERSANA is the digital library of IKER (UMR 5478), a research centre specialized in Basque language and texts. The online library platform receives and disseminates primary sources of data issued from research in Basque language and culture. As of today, two corpora of documents have been published. The first one, is a collection of private letters written in an 18th century variety of Basque, documented in and transcribed to modern standard Basque. The discovery of the collection, named Le Dauphin, has enabled the emerging of new questions about the history and sociology of writing in the domain of minority languages, not only in France, but also among the whole Atlantic Arc. The second of the two corpora is a selection of sound recordings about monodic chant in the Basque Country. The documents were collected as part of a PhD thesis research work that took place between 2003 and 2012. It's a total of 50 hours of interviews with francophone and bascophone cultural representatives carried out at either their workplace of the informers or in public areas. ANPERSANA is bundled with an advanced search engine. The documents have been indexed and geo-localized on an interactive map. The platform is engaged with open access and all the resources can be uploaded freely under the different Creative Commons (CC) licenses.
MEMENTO aims to become a valuable tool for identifying regions of the world ocean that should be targeted in future work to improve the quality of air-sea flux estimates.
The Cellular Phenotype database stores data derived from high-throughput phenotypic studies and it is being developed as part of the Systems Microscopy Network of Excellence project. The aim of the Cellular Phenotype database is to provide easy access to phenotypic data and facilitate the integration of independent phenotypic studies. Through its interface, users can search for a gene of interest, or a collection of genes, and retrieve the loss-of-function phenotypes observed, in human cells, by suppressing the expression of the selected gene(s), through RNA interference (RNAi), across independent phenotypic studies. Similarly, users can search for a phenotype of interest and retrieve the RNAi reagents that have caused such phenotype and the associated target genes. Information about specific RNAi reagents can also be obtained when searching for a reagent ID.
The COVID-19 Data Portal was launched in April 2020 to bring together relevant datasets for sharing and analysis in an effort to accelerate coronavirus research. It enables researchers to upload, access and analyse COVID-19 related reference data and specialist datasets as part of the wider European COVID-19 Data Platform.
B2SHARE is a user-friendly, reliable and trustworthy way for researchers, scientific communities and citizen scientists to store and share small-scale research data from diverse contexts and disciplines. B2SHARE is able to add value to your research data via (domain tailored) metadata, and assigning citable Persistent Identifiers PIDs (Handles) to ensure long-lasting access and references. B2SHARE is one of the B2 services developed via EUDAT and long tail data deposits do not cost money. Special arrangements such as branding and special metadata elements can be made on request.
SWE-CLARIN is a national node in European Language and Technology Infrastructure (CLARIN) - an ESFRI initiative to build an infrastructure for e-science in the humanities and social sciences. SWE-CLARIN makes language-based materials available as research data using advanced processing tools and other resources. One basic idea is that the increasing amount of text and speech - contemporary and historical - as digital research material enables new forms of e-science and new ways to tackle old research issues.
The European Data Portal harvests the metadata of Public Sector Information available on public data portals across European countries. Information regarding the provision of data and the benefits of re-using data is also included.
The Text Laboratory provides assistance with databases, word lists, corpora and tailored solutions for language technology. We also work on research and development projects alone or in cooperation with others - locally, nationally and internationally. Services and tools: Word and frequency lists, Written corpora, Speech corpora, Multilingual corpora, Databases, Glossa Search Tool, The Oslo-Bergen Tagger, GREI grammar games, Audio files: dialects from Norway and America etc., Nordic Atlas of Language Structures (NALS) Journal, Norwegian in America, NEALT, Ethiopian Language Technology, Access to Corpora
MODES focuses on the representation of the inertio-gravity circulation in numerical weather prediction models, reanalyses, ensemble prediction systems and climate simulations. The project methodology relies on the decomposition of global circulation in terms of 3D orthogonal normal-mode functions. It allows quantification of the role of inertio-gravity waves in atmospheric varibility across the whole spectrum of resolved spatial and temporal scales. MODES is compiled by using gfortran although other options have been succesfully tested. The application requires the use of the netcdf and (optionally) grib-api libraries.
The EELS database is a public interactive consultable web repository of outer-shell and inner-shell excitation spectra from Electron Energy Loss Spectroscopy and X-Ray experiments, which forms a reference catalog of fine structures for materials. Each spectrum is available with a full set of recording parameters providing a complete overview of the working conditions. The database must also be seen as a research tool for EEL spectroscopists, theoreticians, students, or private firms and a central “location” for the growing EELS community.
EartH2Observe brings together the findings from European FP projects DEWFORA, GLOWASIS, WATCH, GEOWOW and others. It will integrate available global earth observations (EO), in-situ datasets and models and will construct a global water resources re-analysis dataset of significant length (several decades). The resulting data will allow for improved insights on the full extent of available water and existing pressures on global water resources in all parts of the water cycle. The project will support efficient and globally consistent water management and decision making by providing comprehensive multi-scale (regional, continental and global) water resources observations. It will test new EO data sources, extend existing processing algorithms and combine data from multiple satellite missions in order to improve the overall resolution and reliability of EO data included in the re-analysis dataset. The resulting datasets will be made available through an open Water Cycle Integrator data portal https://wci.earth2observe.eu/ : the European contribution to the GEOSS/WCI approach. The datasets will be downscaled for application in case-studies at regional and local levels, and optimized based on identified European and local needs supporting water management and decision making . Actual data access: https://wci.earth2observe.eu/data/group/earth2observe
The European Union Open Data Portal is the single point of access to a growing range of data from the institutions and other bodies of the European Union (EU). Data are free for you to use and reuse for commercial or non-commercial purposes. By providing easy and free access to data, the portal aims to promote their innovative use and unleash their economic potential. It also aims to help foster the transparency and the accountability of the institutions and other bodies of the EU. The EU Open Data Portal is managed by the Publications Office of the European Union. Implementation of the EU's open data policy is the responsibility of the Directorate-General for Communications Networks, Content and Technology of the European Commission.
The main goal of the ECCAD project is to provide scientific and policy users with datasets of surface emissions of atmospheric compounds, and ancillary data, i.e. data required to estimate or quantify surface emissions. The supply of ancillary data - such as maps of population density, maps of fires spots, burnt areas, land cover - could help improve and encourage the development of new emissions datasets. ECCAD offers: Access to global and regional emission inventories and ancillary data, in a standardized format Quick visualization of emission and ancillary data Rationalization of the use of input data in algorithms or emission models Analysis and comparison of emissions datasets and ancillary data Tools for the evaluation of emissions and ancillary data ECCAD is a dynamical and interactive database, providing the most up to date datasets including data used within ongoing projects. Users are welcome to add their own datasets, or have their regional masks included in order to use ECCAD tools.
The IWH Research Data Centre provides external scientists with data for non-commercial research. The research data centre of the IWH was accredited by RatSWD.