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Found 66 result(s)
The GHDx is our user-friendly and searchable data catalog for global health, demographic, and other health-related datasets. It provides detailed information about datasets ranging from censuses and surveys to health records and vital statistics, globally. It also serves as a platform for data owners to share their data with the public. The GDB Compare visualization, which allows the user to see rate of change in disease incidence, globally or by country, by age or across all ages, is especially powerful as a tool. Be sure to try adding a bottom chart, like the map, to augment the treemap that loads by default in the top chart.
The Breast Cancer Surveillance Consortium (BCSC) is a research resource for studies designed to assess the delivery and quality of breast cancer screening and related patient outcomes in the United States. The BCSC is a collaborative network of seven mammography registries with linkages to tumor and/or pathology registries. The network is supported by a central Statistical Coordinating Center.
The tree of life links all biodiversity through a shared evolutionary history. This project will produce the first online, comprehensive first-draft tree of all 1.8 million named species, accessible to both the public and scientific communities. Assembly of the tree will incorporate previously-published results, with strong collaborations between computational and empirical biologists to develop, test and improve methods of data synthesis. This initial tree of life will not be static; instead, we will develop tools for scientists to update and revise the tree as new data come in. Early release of the tree and tools will motivate data sharing and facilitate ongoing synthesis of knowledge.
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The RAMEDIS system is a platform independent, web-based information system for rare metabolic diseases based on filed case reports. It was developed in close cooperation with clinical partners to allow them to collect information on rare metabolic diseases with extensive details, e.g. about occurring symptoms, laboratory findings, therapy and molecular data.
The EUROLAS Data Center (EDC) is one of the two data centers of the International Laser Ranging Service (ILRS). It collects, archives and distributes tracking data, predictions and other tracking relevant information from the global SLR network. Additionally EDC holds a mirror of the official Web-Pages of the ILRS at Goddard Space Flight Center (GSFC). And as result of the activities of the Analysis Working Group (AWG) of the ILRS, DGFI has been selected as analysis centers (AC) and as backup combination center (CC). This task includes weekly processing of SLR observations to LAGEOS-1/2 and ETALON-1/2 to compute station coordinates and earth orientation parameters. Additionally the combination of SLR solutions from the various analysis centres to a combinerd ILRS SLR solution.
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A number of sociological research institutions have worked together with partners from IT and the information sciences to establish a new research data infrastructure for qualitative research, the interdisciplinary center for qualitative research data from the sociology of work (eLabour). The infrastructure will be fully operational in early 2019. In addition, the center will expand its qualitative data pool and open up to external scientists. At the same time, IT-based processes and tools for qualitative data management are being developed to establish a competence center for professional qualitative research data management, which can provide support and services for a variety of scientific user groups. Research data are available as Scientific Use Files (SUF) and Campus Files (CF). List of available research data at 'Projects' page: http://elabour.de/auswaehlen-und-nutzen/forschungsdaten/
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The Portal is intended to be used as catalog of datasets published by ministries/ department/ organizations of Government of India for public use, in order to enhance transparency in the functioning of the Government as well as to make innovative visualization of dataset. This National Data Portal is being updated frequently to make it as accessible as possible and completely accessible to all irrespective of physical challenges or technology.
The Cancer Genome Atlas (TCGA) Data Portal provides a platform for researchers to search, download, and analyze data sets generated by TCGA. It contains clinical information, genomic characterization data, and high level sequence analysis of the tumor genomes. The Data Coordinating Center (DCC) is the central provider of TCGA data. The DCC standardizes data formats and validates submitted data.
The Comparative Welfare Entitlements Dataset (CWED) contains information about the structure and generosity of social insurance benefits in 33 countries around the world. The data contained here are an updated and extended version of CWED 1, which has been available since 2004. This web site allows you to download customized portions of the CWED 2 data, browse the Working Paper Series or access documentary material. For recent updates to this dataset, please see https://www.cwep.us/
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Over 1000 detailed, fully referenced and verified datasets for steels, aluminium and titanium alloys, cast irons/steels, weld metals. Materials can be searched according to a number of different criteria. Initial search results are presented in the form of a table from which they can be selected for presentation in form of detailed report or for comparison overview (up to 5 materials). In addition to material information and values of properties/parameters, images of microstructure, specimens and those of stress-strain, stress- and strain-life curves (if available) can be reviewed as well.
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The Japanese Genotype-phenotype Archive (JGA) is a service for permanent archiving and sharing of all types of individual-level genetic and de-identified phenotypic data resulting from biomedical research projects. The JGA contains exclusive data collected from individuals whose consent agreements authorize data release only for specific research use or to bona fide researchers. Strict protocols govern how information is managed, stored and distributed by the JGA. Once processed, all data are encrypted. Users can contact the JGA team from here. JGA services are provided in collaboration with National Bioscience Database Center (NBDC) of Japan Science and Technology Agency.
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.
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SeSam is an outstanding international collection of recent and fossil animals and plants from all over the world. It also holds an important specialized library. The really substantial data of this collection constitute the basis of every taxonomic-systematical, ecological, biogeographical or biostratigraphical fundamental research as well as every practical environmental research. Because of its historical referencings this collection is also a precious cultural treasure that generates the often expensive heavy mission of its conservation. The new system is called AQUiLA.
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.
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LIAG's Geophysics Information System (FIS GP) serves for the storage and supply of geophysical measurements and evaluations of LIAG and its partners. The architecture of the overall system intends a subdivision into an universal part (superstructure) and into several subsystems dedicated to geophysical methods (borehole geophysics, gravimetry, magnetics, 1D/2D geoelectrics, underground temperatures, seismics, VSP, helicopter geophysics and rock physics. The building of more subsystems is planned.
The Fungal Genetics Stock Center has preserved and distributed strains of genetically characterized fungi since 1960. The collection includes over 20,000 accessioned strains of classical and genetically engineered mutants of key model, human, and plant pathogenic fungi. These materials are distributed as living stocks to researchers around the world.
***<<<!!!>>> *** Stated 2017-08-28: To accommodate a wider scope of ophthalmic data, we launched our new Rotterdam Ophthalmic Data Repository. Please visit http://www.rodrep.com/ for all data sets. *** The ORGIDS site will no longer be updated! ***<<<!!!>>>***Through this portal, we will make data sets available that result from our glaucoma research. This includes visual fields, various imaging modalities and other data from both glaucomatous and normal subjects.The data was acquired during more than a decade.
Junar provides a cloud-based open data platform that enables innovative organizations worldwide to quickly, easily and affordably make their data accessible to all. In just a few weeks, your initial datasets can be published, providing greater transparency, encouraging collaboration and citizen engagement, and freeing up precious staff resources.
OpenWorm aims to build the first comprehensive computational model of the Caenorhabditis elegans (C. elegans), a microscopic roundworm. With only a thousand cells, it solves basic problems such as feeding, mate-finding and predator avoidance. Despite being extremely well studied in biology, this organism still eludes a deep, principled understanding of its biology. We are using a bottom-up approach, aimed at observing the worm behaviour emerge from a simulation of data derived from scientific experiments carried out over the past decade. To do so we are incorporating the data available in the scientific community into software models. We are engineering Geppetto and Sibernetic, open-source simulation platforms, to be able to run these different models in concert. We are also forging new collaborations with universities and research institutes to collect data that fill in the gaps All the code we produce in the OpenWorm project is Open Source and available on GitHub.
The Linguistic Data Consortium (LDC) is an open consortium of universities, libraries, corporations and government research laboratories. It was formed in 1992 to address the critical data shortage then facing language technology research and development. Initially, LDC's primary role was as a repository and distribution point for language resources. Since that time, and with the help of its members, LDC has grown into an organization that creates and distributes a wide array of language resources. LDC also supports sponsored research programs and language-based technology evaluations by providing resources and contributing organizational expertise. LDC is hosted by the University of Pennsylvania and is a center within the University’s School of Arts and Sciences.
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This web site provides adjusted and homogenized climate data for many climatological stations in Canada. These data were created for use in climate research including climate change studies. They incorporate a number of adjustments applied to the original station data to address shifts due to changes in instruments and in observing procedures. Sometimes the observations from several stations were joined to generate a long time series. The adjusted and homogenized data are provided for four climate elements: surface air temperature, precipitation, surface pressure, and surface wind speed.