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Found 21 result(s)
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 figshare service for the University of Sheffield allows researchers to store, share and publish research data. It helps the research data to be accessible by storing Metadata alongside datasets. Additionally, every uploaded item receives a Digital Object identifier (DOI), which allows the data to be citable and sustainable. If there are any ethical or copyright concerns about publishing a certain dataset, it is possible to publish the metadata associated with the dataset to help discoverability while sharing the data itself via a private channel through manual approval.
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.
The figshare service for The Open University was launched in 2016 and allows researchers to store, share and publish research data. It helps the research data to be accessible by storing metadata alongside datasets. Additionally, every uploaded item receives a Digital Object Identifier (DOI), which allows the data to be citable and sustainable. If there are any ethical or copyright concerns about publishing a certain dataset, it is possible to publish the metadata associated with the dataset to help discoverability while sharing the data itself via a private channel through manual approval.
RADAR (Research And Digital Assets Repository) is the institutional repository of Oxford Brookes University. The role of RADAR is to share the intellectual product of Oxford Brookes freely and openly with the staff and students of Oxford Brookes or with the global academic and public community. ​RADAR has a variety of research collections (primarily containing original research publications) and teaching collections (primarily containing resources that support teaching at Oxford Brookes University). Some of the collections​ and resources on RADAR are freely accessible to the general public and other collections​ and resources are only accessible by current Oxford Brookes staff and students.
BOARD (Bicocca Open Archive Research Data) is the institutional data repository of the University of Milano-Bicocca. BOARD is an open, free-to-use research data repository, which enables members of University of Milano-Bicocca to make their research data publicly available. By depositing their research data in BOARD researchers can: - Make their research data citable - Share their data privately or publicly - Ensure long-term storage for their data - Keep access to all versions - Link their article to their data
San Raffaele Open Research Data Repository (ORDR) is an institutional platform which allows to safely store, preserve and share research data. ORDR is endowed with the essential characteristics of trusted repositories, as it ensures: a) open or restricted access to contents, with persistent unique identifiers to enable referencing and citation; b) a comprehensive set of Metadata fields to enable discovery and reuse; c) provisions to safeguard integrity, authenticity and long-term preservation of deposited data.
The DCS allows you to search a catalogue of metadata (information describing data) to discover and gain access to NERC's data holdings and information products. The metadata are prepared to a common NERC Metadata Standard and are provided to the catalogue by the NERC Data Centres.
LSE Research Online is the institutional repository for the London School of Economics and Political Science. LSE Research Online contains research produced by LSE staff, including journal articles, book chapters, books, working papers, conference papers and more.
UEL Research Repository: the institutional repository of open access publications and research data at the University of East London. As a research archive, it preserves and disseminates scholarly work created by members of the University of East London.
The UCD Digital Library is a platform for exploring cultural heritage, engaging with digital scholarship, and accessing research data. The UCD Digital Library allows you to search, browse and explore a growing collection of historical materials, photographs, art, interviews, letters, and other exciting content, that have been digitised and made freely available.
CORD is Cranfield University's research data repository, for secure preservation of institutional research data outputs. Cranfield is an exclusively postgraduate university that is a global leader for transformational research in technology and management. We are focused on the specialist themes of aerospace, defence and security, energy and power, environment and agrifood, manufacturing, transport systems, and water. The Cranfield School of Management is world leader in management education and research.
When published in 2005, the Millennium Run was the largest ever simulation of the formation of structure within the ΛCDM cosmology. It uses 10(10) particles to follow the dark matter distribution in a cubic region 500h(−1)Mpc on a side, and has a spatial resolution of 5h−1kpc. Application of simplified modelling techniques to the stored output of this calculation allows the formation and evolution of the ~10(7) galaxies more luminous than the Small Magellanic Cloud to be simulated for a variety of assumptions about the detailed physics involved. As part of the activities of the German Astrophysical Virtual Observatory we have created relational databases to store the detailed assembly histories both of all the haloes and subhaloes resolved by the simulation, and of all the galaxies that form within these structures for two independent models of the galaxy formation physics. We have implemented a Structured Query Language (SQL) server on these databases. This allows easy access to many properties of the galaxies and halos, as well as to the spatial and temporal relations between them. Information is output in table format compatible with standard Virtual Observatory tools. With this announcement (from 1/8/2006) we are making these structures fully accessible to all users. Interested scientists can learn SQL and test queries on a small, openly accessible version of the Millennium Run (with volume 1/512 that of the full simulation). They can then request accounts to run similar queries on the databases for the full simulations. In 2008 and 2012 the simulations were repeated.
Enlighten: research data is the institutional repository for research data of the University of Glasgow. As part of the CERIF 4 Datasets (C4D) project the University is exploring an extension of the CERIF standard. We have trialled methods of recording information about datasets to make them more visible, retrievable and usable.
York Digital Library (YODL) is a University-wide Digital Library service for multimedia resources used in or created through teaching, research and study at the University of York. YODL complements the University's research publications, held in White Rose Research Online and PURE, and the digital teaching materials in the University's Yorkshare Virtual Learning Environment. YODL contains a range of collections, including images, past exam papers, masters dissertations and audio. Some of these are available only to members of the University of York, whilst other material is available to the public. YODL is expanding with more content being added all the time
The Forensic Linguistic Databank (FoLD) is a permanent, controlled access online repository for forensic linguistic data, including malicious communication data, investigative interview data, and forensic evidence validation data for both speech and text. We broadly understand forensic linguistics as any academic research with a potential to improve the delivery of justice through the analysis of language. FoLD thus comprises a wide range of datasets with relevance to forensic linguistics and language and law, including commercial extortion letters, investigative interviews in police and other contexts, legal documents, forum posts from far-right online groups, and comment threads from political blogs. The intention for the databank is to not only further academic research into forensic linguistics by developing new methods and approaches but also to directly contribute to impact in assisting the delivery of justice. Therefore, research projects using this data will validate methods for forensic analysis, further the effectiveness of interviewing techniques used by British police, and help tackle internet crime and abuse on behalf of law enforcement beneficiaries, such as the National Crime Agency.
<<<!!!<<<This is an archive of the old NEBC site from nebc.nerc.ac.uk and is no longer updated. For new information regarding NERC Environmental Omics and the Bio-Linux system please see the EOS site at http://environmentalomics.org. >>>!!!>>> Ongoing NEBC activities, including the development of Bio-Linux, are being moved into the new EOS programme http://environmentalomics.org/portfolio/big-data-infrastructure/ . Once the current material from this website has been moved into EOS, this NEBC site will remain on-line as an archive. EnvBase is the searchable index to the data deposited through the NEBC, as well as related NERC experimental data. At present this is chiefly from the grants funded by the NERC Environmental Genomics Science Programme and the subsequent Post-genomics and Proteomics Science Programme, but more data from ongoing projects continues to be added
The UK Data Service is a national data service funded by the ESRC to provide research access to the UK’s largest collection of social, economic and population data including UK government-sponsored surveys, cross-national surveys, longitudinal studies, UK census data, international aggregate, business data, and qualitative data. Designed to meet the data needs of researchers, students and teachers from all sectors, including academia, central and local government, charities and foundations, independent research centres, think tanks, business consultants and analysts, communities and the commercial sector, the UK Data Service provides access to high-quality social and economic data; support for policy-relevant research; guidance and training for the development of skills in data use, and the development of best practice in digital preservation and sharing. Data users can browse collections online and register to analyse and download them. Open Data collections are available for anyone to use. Key partners include JISC, the University of Manchester, University of Southampton, University of Leeds, University of Edinburgh and University College London (UCL). The lead partner is the UK Data Archive (https://service.re3data.org/repository/r3d100010215) based at the University of Essex, a Trusted Digital Repository (TDR) certified against the CoreTrustSeal (https://www.coretrustseal.org/) and certified against ISO27001 for Information Security (https://www.iso.org/standard/27001). The UK Data Service replaces the earlier ESRC investments of the Economic and Social Data Service (ESDS), the Secure Data Service (SDS), the Survey Question Bank and elements of the ESRC Census Programme.