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Found 52 result(s)

The World Atlas of Language Structures

WALS

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The World Atlas of Language Structures (WALS) is a large database of structural (phonological, grammatical, lexical) properties of languages gathered from descriptive materials (such as reference grammars) by a team of 55 authors (many of them the leading authorities on the subject).

DHS Data Access

DNB Household Survey

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The DNB Household Survey (DHS) supplies longitudinal data to the international academic community, with a focus on the psychological and economic aspects of financial behavior. The study comprises information on work, pensions, housing, mortgages, income, assets, loans, health, economic and psychological concepts, and personal characteristics. The DHS data are collected from 2,000 households participating in the CentERpanel. The CentERpanel is an Internet panel that reflects the composition of the Dutch-speaking population in the Netherlands. Both the DHS as well as the CentERpanel, in which the study in conducted, are run by CentERdata

MUSE-Wide

MUSE-Wide archive

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We present the MUSE-Wide survey, a blind, 3D spectroscopic survey in the CANDELS/GOODS-S and CANDELS/COSMOS regions. Each MUSE-Wide pointing has a depth of 1 hour and hence targets more extreme and more luminous objects over 10 times the area of the MUSE-Deep fields (Bacon et al. 2017). The legacy value of MUSE-Wide lies in providing "spectroscopy of everything" without photometric pre-selection. We describe the data reduction, post-processing and PSF characterization of the first 44 CANDELS/GOODS-S MUSE-Wide pointings released with this publication. Using a 3D matched filtering approach we detected 1,602 emission line sources, including 479 Lyman-α (Lya) emitting galaxies with redshifts 2.9≲z≲6.3. We cross-match the emission line sources to existing photometric catalogs, finding almost complete agreement in redshifts and stellar masses for our low redshift (z < 1.5) emitters. At high redshift, we only find ~55% matches to photometric catalogs. We encounter a higher outlier rate and a systematic offset of Δz≃0.2 when comparing our MUSE redshifts with photometric redshifts. Cross-matching the emission line sources with X-ray catalogs from the Chandra Deep Field South, we find 127 matches, including 10 objects with no prior spectroscopic identification. Stacking X-ray images centered on our Lya emitters yielded no signal; the Lya population is not dominated by even low luminosity AGN. A total of 9,205 photometrically selected objects from the CANDELS survey lie in the MUSE-Wide footprint, which we provide optimally extracted 1D spectra of. We are able to determine the spectroscopic redshift of 98% of 772 photometrically selected galaxies brighter than 24th F775W magnitude. All the data in the first data release - datacubes, catalogs, extracted spectra, maps - are available at the website.

IDEAS

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Welcome to the largest bibliographic database dedicated to Economics and available freely on the Internet. This site is part of a large volunteer effort to enhance the free dissemination of research in Economics, RePEc, which includes bibliographic metadata from over 1,800 participating archives, including all the major publishers and research outlets. IDEAS is just one of several services that use RePEc data. Authors are invited to register with RePEc to create an online profile. Then, anyone finding some of your research here can find your latest contact details and a listing of your other research. You will also receive a monthly mailing about the popularity of your works, your ranking and newly found citations. Besides that IDEAS provides software and public accessible data from Federal Reserve Bank.

IMS Universität Stuttgart Repository

IMS Fedora Repository

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Currently, the IMS repository focuses on resources provided by the Institute for Natural Language Processing in Stuttgart (IMS) and other CLARIN-D related institutions such as the local Collaborative Research Centre 732 (SFB 732) as well as institutions and/or organizations that belong to the CLARIN-D extended scientific community. Comprehensive guidelines and workflows for submission by external contributors are being compiled based on the experiences in archiving such in-house resources.

CancerData.org

Sharing data for cancer research

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The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. Our activities in the field of medical image analysis and data modelling are visible in a number of projects we are running. CancerData is offering several datasets. They are grouped in collections and can be public or private. You can search for public datasets in the NBIA (National Biomedical Imaging Archive) image archives without logging in.

ADS

Arctic Data archive System

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The arctic data archive system (ADS) collects observation data and modeling products obtained by various Japanese research projects and gives researchers to access the results. By centrally managing a wide variety of Arctic observation data, we promote the use of data across multiple disciplines. Researchers use these integrated databases to clarify the mechanisms of environmental change in the atmosphere, ocean, land-surface and cryosphere. That ADS will be provide an opportunity of collaboration between modelers and field scientists, can be expected.

Catena

Digital Archive of Historic Gardens and Landscapes

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Catena, the Digital Archive of Historic Gardens and Landscapes, is a collection of historic and contemporary images, including plans, engravings, and photographs, intended to support research and teaching in the fields of garden history and landscape studies. Created through the collaborative efforts of landscape historians and institutions, the initial offering of images is focused on the Villas as a Landscape Type.

Finnish Social Science Data Archive

FSD

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The Finnish Social Science Data Archive (FSD) is a national resource centre for social science research and teaching. FSD archives, promotes and disseminates digital research data for research, teaching and learning purposes. Data descriptions are published in Finnish and English on FSD’s service portal Aila Data Service, through which users also download data. Quantitative datasets are translated from Finnish into English on request, and a large number of datasets are available in English. All services are free of charge. FSD promotes transparency, accumulation and efficient reuse of scientific research as well as open access to research data. FSD is the Finnish Service Provider for CESSDA ERIC.

4TU.ResearchData | science.engineering.design

formerly: 4TU.Centre for Research Data

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4TU.ResearchData, previously known as 4TU.Centre for Research Data, is a research data repository dedicated to the science, engineering and design disciplines. It offers the knowledge, experience and the tools to manage, publish and find scientific research data in a standardized, secure and well-documented manner. 4TU.ResearchData provides the research community with: Customised advice and support on research data management; A long-term repository for scientific research data; Support for current research projects; Tools to enhance reuse of research data.

Research Data Archive at NCAR

National Center for Atmospheric Research Research Data Archive

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The Research Data Archive (RDA) at NCAR contains a large and diverse collection of meteorological and oceanographic observations, operational and reanalysis model outputs, and remote sensing datasets to support atmospheric and geosciences research.

DataverseNO

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DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.

Kinsources.net

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Kinsources is an open and interactive platform to archive, share, analyze and compare kinship data used in scientific research. Kinsources is not just another genealogy website, but a peer-reviewed repository designed for comparative and collaborative research. The aim of Kinsources is to provide kinship studies with a large and solid empirical base. Kinsources combines the functionality of communal data repository with a toolbox providing researchers with advanced software for analyzing kinship data. The software Puck (Program for the Use and Computation of Kinship data) is integrated in the statistical package and the search engine of the Kinsources website. Kinsources is part of a research perspective that seeks to understand the interaction between genealogy, terminology and space in the emergence of kinship structures. Hosted by the TGIR HumaNum, the platform ensures both security and free access to the scientific data is validated by the research community.

GAVO Data Centre

German Astrophysical Virtual Observatory Data Centre

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The GAVO data centre at Zentrum für Astronomie Heidelberg publishes astronomical data of all kinds – e.g., catalogues, images, spectra, time series, simulation results – in accordance with Virtual Observatory standards, making them findable and immediately usable through popular clients like TOPCAT, Aladin, or programatically through the astropy-affiliated package pyVO or the Java library STIL. We pay particular attention to providing thorough metadata to the VO Registry in order to facilitate discovery and reuse. While we have a clear focus on data produced with German contributions, we will usually publish data of other provenance, too. See https://docs.g-vo.org/DaCHS/data_checklist.html for an overview of what resource-level metadata we ask for; contact us for further information on how to publish through the German Astronomical Virtual Observatory.

The Polinsky Language Sciences Lab Dataverse

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The Polinsky Language Sciences Lab at Harvard University is a linguistics lab that examines questions of language structure and its effect on the ways in which people use and process language in real time. We engage in linguistic and interdisciplinary research projects ourselves; offer linguistic research capabilities for undergraduate and graduate students, faculty, and visitors; and build relationships with the linguistic communities in which we do our research. We are interested in a broad range of issues pertaining to syntax, interfaces, and cross-linguistic variation. We place a particular emphasis on novel experimental evidence that facilitates the construction of linguistic theory. We have a strong cross-linguistic focus, drawing upon English, Russian, Chinese, Korean, Mayan languages, Basque, Austronesian languages, languages of the Caucasus, and others. We believe that challenging existing theories with data from as broad a range of languages as possible is a crucial component of the successful development of linguistic theory. We investigate both fluent speakers and heritage speakers—those who grew up hearing or speaking a particular language but who are now more fluent in a different, societally dominant language. Heritage languages, a novel field of linguistic inquiry, are important because they provide new insights into processes of linguistic development and attrition in general, thus increasing our understanding of the human capacity to maintain and acquire language. Understanding language use and processing in real time and how children acquire language helps us improve language study and pedagogy, which in turn improves communication across the globe. Although our lab does not specialize in language acquisition, we have conducted some studies of acquisition of lesser-studied languages and heritage languages, with the purpose of comparing heritage speakers to adults.

OpenAgrar

OA

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OpenAgrar is an open access repository which publishes, stores, archives and distributes publications, publication references and research data. Its resources can be searched and used by everyone. It contains amongst others theses, reports, conference proceedings, journal articles, books, institutional documents, research datasets, videos and interviews.

Huygens ING

Huygens Instituut voor Nederlandse Geschiedenis

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By stimulating inspiring research and producing innovative tools, Huygens ING intends to open up old and inaccessible sources, and to understand them better. Huygens ING’s focus is on Digital Humanities, History, History of Science, and Textual Scholarship. Huygens ING pursues research in the fields of History, Literary Studies, the History of Science and Digital Humanities. Huygens ING aims to publish digital sources and data responsibly and with care. Innovative tools are made as widely available as possible. We strive to share the available knowledge at the institute with both academic peers and the wider public.

CERIC Data Portal

CERIC Metadata Catalogue

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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).

ICRISAT Dataverse

International Crops Research Institute for the Semi-Arid Tropics Dataverse Network

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ICRISAT performs crop improvement research, using conventional as well as methods derived from biotechnology, on the following crops: Chickpea, Pigeonpea, Groundnut, Pearl millet,Sorghum and Small millets. ICRISAT's data repository collects, preserves and facilitates access to the datasets produced by ICRISAT researchers to all users who are interested in. Data includes Phenotypic, Genotypic, Social Science, and Spatial data, Soil and Weather.

eLaborate

Huygens ING: eLaborate

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eLaborate is an online work environment in which scholars can upload scans, transcribe and annotate text, and publish the results as on online text edition which is freely available to all users. Short information about and a link to already published editions is presented on the page Editions under Published. Information about editions currently being prepared is posted on the page Ongoing projects. The eLaborate work environment for the creation and publication of online digital editions is developed by the Huygens Institute for the History of the Netherlands of the Royal Netherlands Academy of Arts and Sciences. Although the institute considers itself primarily a research facility and does not maintain a public collection profile, Huygens ING actively maintains almost 200 digitally available resource collections.

1.2 Meter CO Survey Dataverse

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The Radio Telescope Data Center (RTDC) reduces, archives, and makes available on its web site data from SMA and the CfA Millimeter-wave Telescope. The whole-Galaxy CO survey presented in Dame et al. (2001) is a composite of 37 separate surveys. The data from most of these surveys can be accessed. Larger composites of these surveys are available separately.

PUBLISSO-Fachrepositorium Lebenswissenschaften

PUBLISSO-Repository for Life Sciences

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ZB MED's Repository for Life Sciences offers authors the chance to publish their scientific texts and research data from the fields of medicine, health, nutritional, environmental and agricultural sciences. In accordance with the principles of Open Access, these publications can be accessed over the Internet without restrictions. There is no charge to publish, archive or use the documents.

GESIS Data Archive

GESIS Long-term digital preservation

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GESIS preserves (mainly quantitative) social research data to make it available to the scientific research community. The data is described in a standardized way, secured for the long term, provided with a permanent identifier (DOI), and can be easily found and reused through browser-optimized catalogs (https://search.gesis.org/).

OEDataRep

INGV - Osservatorio Etneo Open Data repository

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Open Data repository focused on dataset publication by INGV OE - Osservatorio Etneo. The Catania-Osservatorio Etneo Section is a public scientific institution of the National Institute of Geophysics and Volcanology (INGV) which carries out research, monitoring and surveillance activities in the fields of geophysics and volcanology.

Collaborative Psychiatric Epidemiology Surveys 2001 - 2003

CPES

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CPES provides access to information that relates to mental disorders among the general population. Its primary goal is to collect data about the prevalence of mental disorders and their treatments in adult populations in the United States. It also allows for research related to cultural and ethnic influences on mental health. CPES combines the data collected in three different nationally representative surveys (National Comorbidity Survey Replication, National Survey of American Life, National Latino and Asian American Study).