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Found 21 result(s)
The Buckeye Corpus of conversational speech contains high-quality recordings from 40 speakers in Columbus OH conversing freely with an interviewer. The speech has been orthographically transcribed and phonetically labeled. The audio and text files, together with time-aligned phonetic labels, are stored in a format for use with speech analysis software (Xwaves and Wavesurfer). Software for searching the transcription files is currently being written.
The Scholarly Database (SDB) at Indiana University aims to serve researchers and practitioners interested in the analysis, modeling, and visualization of large-scale scholarly datasets. The online interface provides access to six datasets: MEDLINE papers, registered Clinical Trials, U.S. Patent and Trademark Office patents (USPTO), National Science Foundation (NSF) funding, National Institutes of Health (NIH) funding, and National Endowment for the Humanities funding – over 26 million records in total.
LINDAT/CLARIN is designed as a Czech “node” of Clarin ERIC (Common Language Resources and Technology Infrastructure). It also supports the goals of the META-NET language technology network. Both networks aim at collection, annotation, development and free sharing of language data and basic technologies between institutions and individuals both in science and in all types of research. The Clarin ERIC infrastructural project is more focused on humanities, while META-NET aims at the development of language technologies and applications. The data stored in the repository are already being used in scientific publications in the Czech Republic.
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One of the world’s largest banks of biological, psychosocial and clinical data on people suffering from mental health problems. The Signature center systematically collects biological, psychosocial and clinical indicators from patients admitted to the psychiatric emergency and at four points throughout their journey in the hospital: upon arrival to the emergency room (state of crisis), at the end of their hospital stay, as well as at the beginning and the end of outpatient treatment. For all hospital clients who agree to participate, blood specimens are collected for the purpose of measuring metabolic, genetic, toxic and infectious biomarkers, while saliva samples are collected to measure sex hormones and hair samples are collected to measure stress hormones. Questionnaire has been selected to cover important dimensional aspects of mental illness such as Behaviour and Cognition (Psychosis, Depression, Anxiety, Impulsiveness, Aggression, Suicide, Addiction, Sleep),Socio-demographic Profile (Spiritual beliefs, Social functioning, Childhood experiences, Demographic, Family background) and Medical Data (Medication, Diagnosis, Long-term health, RAMQ data). On 2016, May there are more than 1150 participants and 400 for the longitudinal Follow-Up
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.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, documents or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. Direct access to the ETH Data Archive is intended only for customers who need to deposit software source code within the framework of ETH transfer Software Registration. An automated connection to the ETH Data Archive in the background ensures the medium to long-term preservation of all publications and research data.
CERIC Data Portal allows users to consult and manage data related to experiments carried out at CERIC (Central European Research Infrastructure Consortium) partner facilities. Data made available includes scientific datasets collected during experiments, experiment proposals, samples used and publications if any. Users can search for data based on related metadata (both their own data and other peoples' public data).
So.Da.Net network, following the Social Data Bank (SDB) of the National Centre for Social Research (EKKE) that pre-existed, in a time frame of five years has been linked and closely collaborated with the european data archives. EKKE through SDB has participated to the European Consortium of Social Science Data Archives (CESSDA ERIC) since 2000. The national research network Sodanet_GR has been formed in 2012 and is consisted of the following 7 organisations: 1) National Centre for Social Research (EKKE) – Social Data Bank 2) University of the Aegean – Department of Sociology 3) National & Kapodistrian University of Athens – Department of Political Science & Public Administration 4) Panteion University – Department of Political Science & History 5) University of Peloponnese – Department of Social & Educational Policy 6) Democritus University of Trace – Department of Social Administration & Political Science 7) University of Crete – Department of Sociology . The So.Da.Net network is the Greek research infrastructure for the social sciences. So.Da.Net supports multidisciplinary research and promotes the acquisition, exchange, processing as well as dissemination of data deriving from and related to social science research.
The Africa Centre offers longitudinal datasets from a rural demographic in KwaZulu-Natal, South Africa where HIV prevalence is extremely high. The data may be filtered by demographics, years, or by individuals questionnaires. The Africa Centre requests notification that anyone contact them when downloading their data. Since January 2000, the Africa Centre For Population Health has built up an extensive longitudinal database of demographic, social, medical and economic information about the members of its Demographic Surveillance Area, which is situated in a rural area of northern KwaZulu-Natal. It has developed from this database, the following suite of datasets which can be used both internally within the organisation, and by other researchers.
The Common Cold Project began in 2011 with the aim of creating, documenting, and archiving a database that combines final research data from 5 prospective viral-challenge studies that were conducted over the preceding 25 years: the British Cold Study (BCS); the three Pittsburgh Cold Studies (PCS1, PCS2, and PCS3); and the Pittsburgh Mind-Body Center Cold Study (PMBC). These unique studies assessed predictor (and hypothesized mediating) variables in healthy adults aged 18 to 55 years, experimentally exposed them to a virus that causes the common cold, and then monitored them for development of infection and signs and symptoms of illness.
The World Religion Database (WRD) contains detailed statistics on religious affiliation for every country of the world. It provides source material, including censuses and surveys, as well as best estimates for every religion to offer a definitive picture of international religious demography. It offers best estimates at multiple dates for each of the world’s religions for the period 1900 to 2050.
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The "Database for Spoken German (DGD)" is a corpus management system in the program area Oral Corpora of the Institute for German Language (IDS). It has been online since the beginning of 2012 and since mid-2014 replaces the spoken German database, which was developed in the "Deutsches Spracharchiv (DSAv)" of the IDS. After single registration, the DGD offers external users a web-based access to selected parts of the collection of the "Archive Spoken German (AGD)" for use in research and teaching. The selection of the data for external use depends on the consent of the respective data provider, who in turn must have the appropriate usage and exploitation rights. Also relevant to the selection are certain protection needs of the archive. The Archive for Spoken German (AGD) collects and archives data of spoken German in interactions (conversation corpora) and data of domestic and non-domestic varieties of German (variation corpora). Currently, the AGD hosts around 50 corpora comprising more than 15000 audio and 500 video recordings amounting to around 5000 hours of recorded material with more than 7000 transcripts. With the Research and Teaching Corpus of Spoken German (FOLK) the AGD is also compiling an extensive German conversation corpus of its own.
The Bavarian Archive for Speech Signals (BAS) is a public institution hosted by the University of Munich. This institution was founded with the aim of making corpora of current spoken German available to both the basic research and the speech technology communities via a maximally comprehensive digital speech-signal database. The speech material will be structured in a manner allowing flexible and precise access, with acoustic-phonetic and linguistic-phonetic evaluation forming an integral part of it.
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The FDZ-BO at DIW Berlin is a central archive for quantitative and qualitative operational and organizational data. It archives these, informs about their existence and provides datasets for secondary analytical purposes. The archiving of studies and datasets ensures long-term security and long-term availability of the data. In consultation with the responsible scientists, access to individual datasets is made possible as scientific use files, via remote data processing or as part of guest stays. The FDZ-BO offers detailed information on current research projects and develops concepts for research data management of organizational data. The study portal (public in March 2019) provides an overview of existing studies in the field of business and organizational research: content, methodology, information on data and data availability information on how to gain access to the data.
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The Queen's Research Data Centre is a member of the Canadian Research Data Centre Network (CRDCN) that provides researchers with access to microdata 'masterfiles' from population and health surveys. Access to the RDC is limited to those with projects approved by Statistics Canada. Before applying to an RDC, you will have to show that your research cannot be conducted using Public Use Microdata Files (PUMFs) available through the Data Liberation Initiative (DLI). Access to DLI PUMFS at Queen's is available through the Social Science Data Centre, using the ODESI data portal.
We are developing an open, online platform to provide a seamless access to cloud computing infrastructure and brain data and data derivatives. This platform is meant to reach out beyond neuroscience, allowing also computer scientists, statisticians and engineers interested in brain data to use the data to develop and publish their methods. Brain Life is a project under active development. We currently offer several cloud computing services – also called Brain Life Applications. Sixty-six collaborators from global scientific communities contribute to the project by providing data, applications, technology and products to advance understanding the human brain.
The Gateway to Global Aging Data is a platform for population survey data on aging around the world. This site offers a digital library of survey questions, a search engine for finding comparable questions across surveys, and identically defined variables for cross-country analysis. The Survey Meta Data Repository provides Health and Retirement Study metadata of family surveys. Survey Meta Data Repository primarily provides access to survey metadata so researchers can compare survey formats, types and identically defined variables. Additional resources include tools for cross-country analysis, general statistics by country and year, survey question library, and tools for comparing questions across the surveys. Datasets are in Stata format; users must register and request datasets.
The project is set up in order to improve the infrastructure for text-based linguistic research and development by building a huge, automatically annotated German text corpus and the corresponding tools for corpus annotation and exploitation. DeReKo constitutes the largest linguistically motivated collection of contemporary German texts, contains fictional, scientific and newspaper texts, as well as several other text types, contains only licenced texts, is encoded with rich meta-textual information, is fully annotated morphosyntactically (three concurrent annotations), is continually expanded, with a focus on size and stratification of data, may be analyzed free of charge via the query system COSMAS II, serves as a 'primordial sample' from which users may draw specialized sub-samples (socalled 'virtual corpora') to represent the language domain they wish to investigate.
Yoda publishes research data on behalf of researchers that are affiliated with Utrecht University, its research institutes and consortia where it acts as a coordinating body. Data packages are not limited to a particular field of research or license. Yoda publishes data packages via Datacite. To find data publications use: https://public.yoda.uu.nl/ , or the Datacite search engine : https://search.datacite.org/data-centers/delft.uu