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Found 721 result(s)
ICD serves as the international standard for diagnostic classification for all general epidemiological, many health management purposes and clinical use. The ICD's resources include the analysis of different population groups' general health situations, monitoring of the incidence and prevalence of diseases in relation to the characteristics of the individuals affected, reimbursement, resource allocation, quality, and guidelines. The records provide the basis for the compilation of national mortality and morbidity statistics, and enable the storage and retrieval of diagnostic information for clinical epidemiological and quality purposes.
Currently, the IMS repository focuses on resources provided by the Institute for Natural Language Processing in Stuttgart (IMS) and other CLARIN-D related institutions such as the local Collaborative Research Centre 732 (SFB 732) as well as institutions and/or organizations that belong to the CLARIN-D extended scientific community. Comprehensive guidelines and workflows for submission by external contributors are being compiled based on the experiences in archiving such in-house resources.
Reactome is a manually curated, peer-reviewed pathway database, annotated by expert biologists and cross-referenced to bioinformatics databases. Its aim is to share information in the visual representations of biological pathways in a computationally accessible format. Pathway annotations are authored by expert biologists, in collaboration with Reactome editorial staff and cross-referenced to many bioinformatics databases. These include NCBI Gene, Ensembl and UniProt databases, the UCSC and HapMap Genome Browsers, the KEGG Compound and ChEBI small molecule databases, PubMed, and Gene Ontology.
The Duke Research Data Repository is a service of the Duke University Libraries that provides curation, access, and preservation of research data produced by the Duke community. Duke's RDR is a discipline agnostic institutional data repository that is intended to preserve and make public data related to the teaching and research mission of Duke University including data linked to a publication, research project, and/or class, as well as supplementary software code and documentation used to provide context for the data.
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Open At LaTrobe (OPAL) is La Trobe University’s official repository for Open Access materials generated by academic and professional staff and HDR students. These include publications and other research outputs, theses, open data, and educational resources. OPAL enables the storage, sharing, and selective publication of files and the assignment of a persistent DOI. Users maintain control over who can see their private files and all uploads are stored in La Trobe University approved storage. Access is via La Trobe University login credentials. La Trobe produces a wide range of useful datasets including supplementary data associated with publications and stand-alone datasets and collections.
SUNScholarData is an institutional research data repository which can be used for the registration, archival storage, sharing and dissemination of research data produced or collected in relation to research conducted under the auspices of Stellenbosch University. The repository has a public interface which can be used for finding content. It also has private user accounts which can be used by Stellenbosch University users in order to upload, share or publish their research data. In addition to this Stellenbosch University researchers can also use SUNScholarData in order to collaborate with researchers from other institutions whilst working on their research projects. The repository creates a medium through which Stellenbosch University’s research data can be made findable and accessible. It also facilitates the interoperability and re-usability of the university’s research data.
The National Science Foundation (NSF) Ultraviolet (UV) Monitoring Network provides data on ozone depletion and the associated effects on terrestrial and marine systems. Data are collected from 7 sites in Antarctica, Argentina, United States, and Greenland. The network is providing data to researchers studying the effects of ozone depletion on terrestrial and marine biological systems. Network data is also used for the validation of satellite observations and for the verification of models describing the transfer of radiation through the atmosphere.
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media/rep/ is the disciplinary repository for German-language media studies. It offers free and open access to publications and research data in media studies and related disciplines.
The GOES Space Environment Monitor archive is an important component of the National Space Weather Program --a interagency program to provide timely and reliable space environment observations and forecasts. GOES satellites carry onboard a Space Environment Monitor subsystem that measures X-rays, Energetic Particles and Magnetic Field at the Spacecraft.
The Entrez Protein Clusters database contains annotation information, publications, structures and analysis tools for related protein sequences encoded by complete genomes. The data available in the Protein Clusters Database is generated from prokaryotic genomic studies and is intended to assist researchers studying micro-organism evolution as well as other biological sciences. Available genomes include plants and viruses as well as organelles and microbial genomes.
The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. Our activities in the field of medical image analysis and data modelling are visible in a number of projects we are running. CancerData is offering several datasets. They are grouped in collections and can be public or private. You can search for public datasets in the NBIA (National Biomedical Imaging Archive) image archives without logging in.
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.
<<<!!!<<< This repository is no longer available. >>>!!!>>> NetPath is currently one of the largest open-source repository of human signaling pathways that is all set to become a community standard to meet the challenges in functional genomics and systems biology. Signaling networks are the key to deciphering many of the complex networks that govern the machinery inside the cell. Several signaling molecules play an important role in disease processes that are a direct result of their altered functioning and are now recognized as potential therapeutic targets. Understanding how to restore the proper functioning of these pathways that have become deregulated in disease, is needed for accelerating biomedical research. This resource is aimed at demystifying the biological pathways and highlights the key relationships and connections between them. Apart from this, pathways provide a way of reducing the dimensionality of high throughput data, by grouping thousands of genes, proteins and metabolites at functional level into just several hundreds of pathways for an experiment. Identifying the active pathways that differ between two conditions can have more explanatory power than just a simple list of differentially expressed genes and proteins.
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HISTAT (Historical Statistics)provides data from studies of population, economic and social history as well as the historical Statistics under a single user interface to be made available online. HISTAT offers a variety of time series, Historical Statistics primarily from Germany, partly down to the 16 . century; the database is structured theme-and study-oriented. Studies are listed by subject area and can be individually selected. using an alphabetical list of authors of individual studies can also be selected. Moreover, a study on cross Keyword is offered. HISTAT provides information and research opportunities to both study level as well as at time series level. It offered a thesaurus-based meta-search for words, authors and studies in the study descriptions, the data (time series definitions) and the sources.
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Created and managed by the Library, DataSpace@HKUST is the data repository and workspace service for HKUST research community. Faculty members and research postgraduate students can use the platform to store, share, organize, preserve and publish research data. It is built on Dataverse, an open source web application developed at Harvard’s Institute for Quantitative Social Science. Using Dataverse architecture, the repository hosts multiple "dataverses". Each dataverse contains datasets; while each dataset may contain multiple data files and the corresponding descriptive metadata.
Lithuania became a full member of CLARIN ERIC in January of 2015 and soon CLARIN-LT consortium was founded by three partner universities: Vytautas Magnus University, Kaunas Technology University and Vilnius University. The main goal of the consortium is to become a CLARIN B centre, which will be able to serve language users in Lithuania and Europe for storing and accessing language resources.
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<<<!!!<<< The repository is no longer available 2020-02-21: no more access to "Environment Climate Data Sweden" >>>!!!<<< The transfer of records from the Environment Climate Data Sweden (ECDS) database to the Swedish National Dataservice (SND) https://www.re3data.org/repository/r3d100010146 was completed in 2019. SND is a national research infrastructure with a primary function to support the accessibility, preservation, and re-use of research data and related materials. You can search the SND research data portal specifically for Natural Science or Agricultural and Veterinary Sciences datasets. Data descriptions with associated datasets, or a direct reference/URL to data, have been migrated from the ECDS portal to the SND research data portal. Previous links to these data are now automatically directed to an SND catalogue entry. Records in the ECDS catalogue that only contained metadata (ie information that data could be accessed through another portal, e.g. Pangea), now link directly to the portal in question. If you want to make one of those data descriptions searchable in SND’s catalogue, please contact SND on snd@snd.gu.se. A small number of records were neither migrated to SND nor redirected to external providers, and they redirect. Contact SND on snd@snd.gu.se if you want more information about the closing of the ECDS portal and the migration of data descriptions to SND’s research data catalogue.
Our knowledge of the many life-forms on Earth - of animals, plants, fungi, protists and bacteria - is scattered around the world in books, journals, databases, websites, specimen collections, and in the minds of people everywhere. Imagine what it would mean if this information could be gathered together and made available to everyone – anywhere – at a moment’s notice. This dream is becoming a reality through the Encyclopedia of Life.
MGI is the international database resource for the laboratory mouse, providing integrated genetic, genomic, and biological data to facilitate the study of human health and disease. The projects contributing to this resource are: Mouse Genome Database (MGD) Project, Gene Expression Database (GXD) Project, Mouse Tumor Biology (MTB) Database Project, Gene Ontology (GO) Project at MGI, MouseMine Project, MouseCyc Project at MGI