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Found 75 result(s)
The Data Catalogue is a service that allows University of Liverpool Researchers to create records of information about their finalised research data, and save those data in a secure online environment. The Data Catalogue provides a good means of making that data available in a structured way, in a form that can be discovered by both general search engines and academic search tools. There are two types of record that can be created in the Data Catalogue: A discovery-only record – in these cases, the research data may be held somewhere else but a record is provided to help people find it. A record is created that alerts users to the existence of the data, and provides a link to where those data are held. A discovery and data record – in these cases, a record is created to help people discover the data exist, and the data themselves are deposited into the Data Catalogue. This process creates a unique Digital Object identifier (DOI) which can be used in citations to the data.
Psi Open Data is an open repository for parapsychology research data, operated by the Society for Psychical Research. The datasets may be freely used, modified, and shared by anyone – subject, at most, to the requirement to attribute and/or share-alike (see the license attached to each dataset for details).
The Durham High Energy Physics Database (HEPData), formerly: the Durham HEPData Project, has been built up over the past four decades as a unique open-access repository for scattering data from experimental particle physics. It currently comprises the data points from plots and tables related to several thousand publications including those from the Large Hadron Collider (LHC). The Durham HepData Project has for more than 25 years compiled the Reactions Database containing what can be loosly described as cross sections from HEP scattering experiments. The data comprise total and differential cross sections, structure functions, fragmentation functions, distributions of jet measures, polarisations, etc... from a wide range of interactions. In the new HEPData site (hepdata.net), you can explore new functionalities for data providers and data consumers, as well as the submission interface. HEPData is operated by CERN and IPPP at Durham University and is based on the digital library framework Invenio.
The Digital Archaeological Record (tDAR) is an international digital repository for the digital records of archaeological investigations. tDAR’s use, development, and maintenance are governed by Digital Antiquity, an organization dedicated to ensuring the long-term preservation of irreplaceable archaeological data and to broadening the access to these data.
The HUGO Gene Nomenclature Committee (HGNC) assigned unique gene symbols and names to over 35,000 human loci, of which around 19,000 are protein coding. This curated online repository of HGNC-approved gene nomenclature and associated resources includes links to genomic, proteomic and phenotypic information, as well as dedicated gene family pages.
The WorldWide Antimalarial Resistance Network (WWARN) is a collaborative platform generating innovative resources and reliable evidence to inform the malaria community on the factors affecting the efficacy of antimalarial medicines. Access to data is provided through diverse Tools and Resources: WWARN Explorer, Molecular Surveyor K13 Methodology, Molecular Surveyor pfmdr1 & pfcrt, Molecular Surveyor dhfr & dhps.
The Cognitive Function and Ageing Studies (CFAS) are population based studies of individuals aged 65 years and over living in the community, including institutions, which is the only large multi-centred population-based study in the UK that has reached sufficient maturity. There are three main studies within the CFAS group. MRC CFAS, the original study began in 1989, with three of its sites providing a parent subset for the comparison two decades later with CFAS II (2008 onwards). Subsequently another CFAS study, CFAS Wales began in 2011.
Galaxies, made up of billions of stars like our Sun, are the beacons that light up the structure of even the most distant regions in space. Not all galaxies are alike, however. They come in very different shapes and have very different properties; they may be large or small, old or young, red or blue, regular or confused, luminous or faint, dusty or gas-poor, rotating or static, round or disky, and they live either in splendid isolation or in clusters. In other words, the universe contains a very colourful and diverse zoo of galaxies. For almost a century, astronomers have been discussing how galaxies should be classified and how they relate to each other in an attempt to attack the big question of how galaxies form. Galaxy Zoo (Lintott et al. 2008, 2011) pioneered a novel method for performing large-scale visual classifications of survey datasets. This webpage allows anyone to download the resulting GZ classifications of galaxies in the project.
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 Office for National Statistics (ONS) is the UK’s largest independent producer of official statistics and is the recognised national statistical institute for the UK. It is responsible for collecting and publishing statistics related to the economy, population and society at national, regional and local levels. It also conducts the census in England and Wales every ten years. The ONS plays a leading role in national and international good practice in the production of official statistics. It is the executive office of the UK Statistics Authority and although they are separate, they are still closely related.
EnsemblPlants is a genome-centric portal for plant species. Ensembl Plants is developed in coordination with other plant genomics and bioinformatics groups via the EBI's role in the transPLANT consortium.
ORA (Oxford University Research Archive) is the institutional repository for the University of Oxford. ORA was established in 2007 as a permanent and secure online archive of research materials produced by members of the University of Oxford. ORA aims to provide access to the full text of as much of Oxford's academic research as possible. This includes articles, conference papers, theses, research data, working papers, posters and more. Making materials open access removes barriers that restrict access to research, allowing for free dissemination of full text content, available to anyone with Internet access. ORA promotes and encourages the sharing of the scholarly output produced by the members of the University of Oxford that have been published under open access conditions, whilst additionally supporting University compliance with research funder policy and assessment.
<<<!!!<<< History Data Service ressources now available in https://www.data-archive.ac.uk/find, see re3data https://www.re3data.org/repository/r3d100010215>>>!!!>>>
The Energy Data Centre holds information relating to energy research, focused on the UK. It has a research data catalogue, information on publications resulting from the UK Energy Research Centre and the Energy Technologies Institute and energy research related grants.
The UK Solar System Data Centre (UKSSDC) provides a STFC and NERC jointly funded central archive and data centre facility for Solar System science in the UK. The facilities include the World Data Centre for Solar-Terrestrial Physics, Chilton and the Cluster Ground-Based Data Centre. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.
THIN is a medical data collection scheme that collects anonymised patient data from its members through the healthcare software Vision. The UK Primary Care database contains longitudinal patient records for approximately 6% of the UK Population. The anonymised data collection, which goes back to 1994, is nationally representative of the UK population.
Established in 1965, the CSD is the world’s repository for small-molecule organic and metal-organic crystal structures. Containing the results of over one million x-ray and neutron diffraction analyses this unique database of accurate 3D structures has become an essential resource to scientists around the world. The CSD records bibliographic, chemical and crystallographic information for:organic molecules, metal-organic compounds whose 3D structures have been determined using X-ray diffraction, neutron diffraction. The CSD records results of: single crystal studies, powder diffraction studies which yield 3D atomic coordinate data for at least all non-H atoms. In some cases the CCDC is unable to obtain coordinates, and incomplete entries are archived to the CSD. The CSD includes crystal structure data arising from: publications in the open literature and Private Communications to the CSD (via direct data deposition). The CSD contains directly deposited data that are not available anywhere else, known as CSD Communications.
Virtual Fly Brain (VFB) - an interactive tool for neurobiologists to explore the detailed neuroanatomy, neuron connectivity and gene expression of the Drosophila melanogaster CNS.
Here you can find out more about Lancaster’s world-class research activities, view details of publications, outputs and awards and make contact with our researchers.
<<<!!!<<< OFFLINE >>>!!!>>> A recent computer security audit has revealed security flaws in the legacy HapMap site that require NCBI to take it down immediately. We regret the inconvenience, but we are required to do this. That said, NCBI was planning to decommission this site in the near future anyway (although not quite so suddenly), as the 1,000 genomes (1KG) project has established itself as a research standard for population genetics and genomics. NCBI has observed a decline in usage of the HapMap dataset and website with its available resources over the past five years and it has come to the end of its useful life. The International HapMap Project is a multi-country effort to identify and catalog genetic similarities and differences in human beings. Using the information in the HapMap, researchers will be able to find genes that affect health, disease, and individual responses to medications and environmental factors. The Project is a collaboration among scientists and funding agencies from Japan, the United Kingdom, Canada, China, Nigeria, and the United States. All of the information generated by the Project will be released into the public domain. The goal of the International HapMap Project is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. By making this information freely available, the Project will help biomedical researchers find genes involved in disease and responses to therapeutic drugs. In the initial phase of the Project, genetic data are being gathered from four populations with African, Asian, and European ancestry. Ongoing interactions with members of these populations are addressing potential ethical issues and providing valuable experience in conducting research with identified populations. Public and private organizations in six countries are participating in the International HapMap Project. Data generated by the Project can be downloaded with minimal constraints. The Project officially started with a meeting in October 2002 (https://www.genome.gov/10005336/) and is expected to take about three years.
<<<!!!<<< This repository is no longer available. >>>!!!>>> BioVeL is a virtual e-laboratory that supports research on biodiversity issues using large amounts of data from cross-disciplinary sources. BioVeL supports the development and use of workflows to process data. It offers the possibility to either use already made workflows or create own. BioVeL workflows are stored in MyExperiment - Biovel Group http://www.myexperiment.org/groups/643/content. They are underpinned by a range of analytical and data processing functions (generally provided as Web Services or R scripts) to support common biodiversity analysis tasks. You can find the Web Services catalogued in the BiodiversityCatalogue.