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Found 476 result(s)
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More than a quarter of a million people — one in 10 NSW men and women aged over 45 — have been recruited to our 45 and Up Study, the largest ongoing study of healthy ageing in the Southern Hemisphere. The baseline information collected from all of our participants is available in the Study’s Data Book. This information, which researchers use as the basis for their analyses, contains information on key variables such as height, weight, smoking status, family history of disease and levels of physical activity. By following such a large group of people over the long term, we are developing a world-class research resource that can be used to boost our understanding of how Australians are ageing. This will answer important health and quality-of-life questions and help manage and prevent illness through improved knowledge of conditions such as cancer, heart disease, depression, obesity and diabetes.
The MGDS Academic Seismic Portal at Lamont-Doherty Earth Observatory (ASP-LDEO), now part of the IEDA Data Facility, was initiated in 2003 to preserve and provide open access to multi-channel seismic (MCS) and single channel seismic (SCS) field data collected for academic research supported by the US National Science Foundation. Multi-channel data are primarily from the marine seismic vessels operated by Lamont-Doherty Earth Observatory of Columbia University. Modern single channel seismic data from other vessels including the R/V Palmer and USCG Healy, as well as data from portable seismic systems, are also served. The development of the Academic Seismic Portal has focused on the need to recover high value MCS data from older surveys as well as to establish sustainable procedures for preservation of data from modern programs. During the final two years of R/V Ewing operations, procedures were established for routine transfer of MCS data along with navigation and acquisition parameters, and other needed documentation to the ASP. Transfer of seismic data and acquisition information is now routine for the National Marine Seismic Facility, the R/V Marcus G. Langseth, which began science operations in February 2008. Data are documented and incorporated into the data system with full access restrictions protecting the scientists' rights to exclusive access during the proprietary hold period. Submission of data to the ASP helps ensure that NSF requirements for data sharing as outlined in the NSF OCE Data Policy are satisfied. Data from the Academic Seismic Portal at UTIG has been migrated to LDEO. As we continue to verify the accuracy and completeness of this data, there may be temporary issues with some seismic metadata and web services.
You will find in the Access to Archival Databases (AAD) resource online access to records in a small selection of historic databases preserved permanently in NARA. Out of the nearly 200,000 data files in its holdings, NARA has selected approximately 475 of them for public searching through AAD. We selected these data because the records identify specific persons, geographic areas, organizations, and dates. The records cover a wide variety of civilian and military functions and have many genealogical, social, political, and economic research uses. AAD provides: Access to over 85 million historic electronic records created by more than 30 agencies of the U.S. federal government and from collections of donated historical materials. Both free-text and fielded searching options. The ability to retrieve, print, and download records with the specific information that you seek. Information to help you find and understand the records.
AceView provides a curated, comprehensive and non-redundant sequence representation of all public mRNA sequences (mRNAs from GenBank or RefSeq, and single pass cDNA sequences from dbEST and Trace). These experimental cDNA sequences are first co-aligned on the genome then clustered into a minimal number of alternative transcript variants and grouped into genes. Using exhaustively and with high quality standards the available cDNA sequences evidences the beauty and complexity of mammals’ transcriptome, and the relative simplicity of the nematode and plant transcriptomes. Genes are classified according to their inferred coding potential; many presumably non-coding genes are discovered. Genes are named by Entrez Gene names when available, else by AceView gene names, stable from release to release. Alternative features (promoters, introns and exons, polyadenylation signals) and coding potential, including motifs, domains, and homologies are annotated in depth; tissues where expression has been observed are listed in order of representation; diseases, phenotypes, pathways, functions, localization or interactions are annotated by mining selected sources, in particular PubMed, GAD and Entrez Gene, and also by performing manual annotation, especially in the worm. In this way, both the anatomy and physiology of the experimentally cDNA supported human, mouse and nematode genes are thoroughly annotated.
The ACSS Dataverse is a repository of interdisciplinary social science research data produced in and on the Arab region. The ACSS Dataverse, part of an initiative of the Arab Council for the Social Sciences in collaboration with the Odum Institute for Research in Social Science at the University of North Carolina at Chapel Hill, preserves and facilitates access to social science datasets in and on the Arab region and is open to relevant research data deposits.
The African Development Bank Group (AfDB) is committed to supporting statistical development in Africa as a sound basis for designing and managing effective development policies for reducing poverty on the continent. Reliable and timely data is critical to setting goals and targets as well as evaluating project impact. Reliable data constitutes the single most convincing way of getting the people involved in what their leaders and institutions are doing. It also helps them to get involved in the development process, thus giving them a sense of ownership of the entire development process. The AfDB has a large team of researchers who focus on the production of statistical data on economic and social situations. The data produced by the institution’s statistics department constitutes the background information in the Bank’s flagship development publications. Besides its own publication, the AfDB also finances studies in collaboration with its partners. The Statistics Department aims to stand as the primary source of relevant, reliable and timely data on African development processes, starting with the data generated from its current management of the Africa component of the International Comparison Program (ICP-Africa). The Department discharges its responsibilities through two divisions: The Economic and Social Statistics Division (ESTA1); The Statistical Capacity Building Division (ESTA2)
Ag-Analytics is an online open source database of various economic and environmental data. It automates the collection, formatting, and processing of several different commonly used datasets, such as the National Agricultural Statistics Service (NASS), the Agricultural Marketing Service (AMS), Risk Management agency (RMA), the PRISM weather database, and the U.S. Commodity Futures Trading Commission (CFTC). All the data have been cleaned and well-documented to save users the inconvenience of scraping and cleaning the data themselves.
The Agricultural and Environmental Data Archive (AEDA) is the direct result of a project managed by the Freshwater Biological Association in partnership with the Centre for e-Research at King's College London, and funded by the Department for the Environment, Food & Rural Affairs (Defra). This project ran from January 2011 until December 2014 and was called the DTC Archive Project, because it was initially related to the Demonstration Test Catchments Platform developed by Defra. The archive was also designed to hold data from the GHG R&D Platform (www.ghgplatform.org.uk). After the DTC Archive Project was completed the finished archive was renamed as AEDA to reflect it's broader remit to archive data from any and all agricultural and environmental research activities.
AlgaeBase is a database of information on algae that includes terrestrial, marine and freshwater organisms. At present, the data for the marine algae, particularly seaweeds, are the most complete.
Alzforum is an independent research project to develop an online community resource to manage scientific knowledge, information, and data about Alzheimer disease (AD).
All ADNI data are shared without embargo through the LONI Image and Data Archive (IDA), a secure research data repository. Interested scientists may obtain access to ADNI imaging, clinical, genomic, and biomarker data for the purposes of scientific investigation, teaching, or planning clinical research studies. "The Alzheimer’s Disease Neuroimaging Initiative (ADNI) unites researchers with study data as they work to define the progression of Alzheimer’s disease (AD). ADNI researchers collect, validate and utilize data, including MRI and PET images, genetics, cognitive tests, CSF and blood biomarkers as predictors of the disease. Study resources and data from the North American ADNI study are available through this website, including Alzheimer’s disease patients, mild cognitive impairment subjects, and elderly controls. "
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The repository contains all digital data such as images, 3d models and analysis which were acquired in the Ancient Steelyards Project.
The Antarctic and Southern Ocean Data Portal, part of the US Antarctic Data Consortium, provides access to geoscience data, primarily marine, from the Antarctic region. The synthesis began in 2003 as the Antarctic Multibeam Bathymetry and Geophysical Data Synthesis (AMBS) with a focus on multibeam bathymetry field data and other geophysical data from the Southern Ocean collected with the R/V N. B. Palmer. In 2005, the effort was expanded to include all routine underway geophysical and oceanographic data collected with both the R/V N. B. Palmer and R/V L. Gould, the two primary research vessels serving the US Antarctic Program.
The Australian National University undertake work to collect and publish metadata about research data held by ANU, and in the case of four discipline areas, Earth Sciences, Astronomy, Phenomics and Digital Humanities to develop pipelines and tools to enable the publication of research data using a common and repeatable approach. Aims and outcomes: To identify and describe research data held at ANU, to develop a consistent approach to the publication of metadata on the University's data holdings: Identification and curation of significant orphan data sets that might otherwise be lost or inadvertently destroyed, to develop a culture of data data sharing and data re-use.
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The Portuguese Archive of Social Information (APIS) is a scientific infrastructure acting on the domain of preservation and dissemination of social science data. Based at Instituto de Ciências Sociais, University of Lisbon, the archive works towards the acquisition and sharing of digital data for the purposes of public consultation, secondary analysis and pedagogical use. The archive comprises a range of datasets provided by research projects of the national scientific community.
Apollo (previously DSpace@Cambridge) is the University of Cambridge’s Institutional Repository (IR), preserving and providing access to content created by members of the University. The repository stores a range of content and provides different levels of access, but its primary focus is on providing open access to the University’s research publications.
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Arachne is the central object-database of the German Archaeological Institute (DAI). In 2004 the DAI and the Research Archive for Ancient Sculpture at the University of Cologne (FA) joined the effort to support Arachne as a tool for free internet-based research. Arachne's database design uses a model that builds on one of the most basic assumptions one can make about archaeology, classical archaeology or art history: all activities in these areas can most generally be described as contextualizing objects. Arachne tries to avoid the basic mistakes of earlier databases, which limited their object modeling to specific project-oriented aspects, thus creating separated containers of only a small number of objects. All objects inside Arachne share a general part of their object model, to which a more class-specific part is added that describes the specialised properties of a category of material like architecture or topography. Seen on the level of the general part, a powerful pool of material can be used for general information retrieval, whereas on the level of categories and properties, very specific structures can be displayed.
The Archaeological Map of the Czech Republic (AMCR) is a repository designed for information on archaeological investigations, sites and finds, operated by the Archaeological Institutes of the CAS in Prague and Brno. The archives of these institutions contain documentation of archaeological fieldwork on the territory of the Czech Republic from 1919 to the present day, and they continue to enrich their collections. The AMCR database and related documents form the largest collection of archaeological data concerning the Czech Republic and are therefore an important part of our cultural heritage. The AMCR digital archive contains various types of records - individual archaeological documents (texts, field photographs, aerial photographs, maps and plans, digital data), projects, fieldwork events, archaeological sites, records of individual finds and a library of 3D models. Data and descriptive information are continuously taken from the AMCR and presented in the the AMCR Digital Archive interface.
The ADS is an accredited digital repository for heritage data that supports research, learning and teaching with freely available, high quality and dependable digital resources by preserving and disseminating digital data in the long term. The ADS also promotes good practice in the use of digital data, provides technical advice to the heritage community, and supports the deployment of digital technologies.
The Arctic Permafrost Geospatial Centre (APGC) is an Open Access Circum-Arctic Geospatial Data Portal that promotes, describes and visualizes geospatial permafrost data. A data catalogue and a WebGIS application allow to easily discover and view data and metadata. Data can be downloaded directly via link to the publishing data repository.
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Since January 2012, two previously independent resources called "ViFaArt – Virtual Library for Contemporary Art" and "arthistoricum.net – Virtual Library for Art History" have been joint together, forming a new service called arthistoricum.net. This unique union makes it now possible to research the whole subject spectrum belonging to Art History. The special interest collection of Art History focuses on Medieval and Early European Art History, including art influenced by Europe in the USA, Canada and Australia, continuing chronologically from the Early Christian era until 1945. The special interest collection of Contemporary Art continues the art historical subject spectrum to include European and North American Art History from 1945. arthistoricum.net contains text and image resources as well as comprehensive, academically relevant information dealing with all media from the Middle Ages up to the present. arthistoricum.net pools the resources and know-how of the responsible partner institutions, thus making this portal an essential forum for research and teaching.