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Found 6 result(s)
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Lithuanian Data Archive for Social Sciences and Humanities (LiDA) is a virtual digital infrastructure for SSH data and research resources acquisition, long-term preservation and dissemination. All the data and research resources are documented in both English and Lithuanian according to international standards. Access to the resources is provided via Dataverse repository. LiDA curates different types of resources and they are published into catalogues according to the type: Survey Data, Aggregated Data (including Historical Statistics), Encoded Data (including News Media Studies), and Textual Data. Also, LiDA holds collections of social sciences and humanities data deposited by Lithuanian science and higher education institutions and Lithuanian state institutions (Data of Other Institutions). LiDA is hosted by the Centre for Data Analysis and Archiving of Kaunas University of Technology (data.ktu.edu).
CLARIN is a European Research Infrastructure for the Humanities and Social Sciences, focusing on language resources (data and tools). It is being implemented and constantly improved at leading institutions in a large and growing number of European countries, aiming at improving Europe's multi-linguality competence. CLARIN provides several services, such as access to language data and tools to analyze data, and offers to deposit research data, as well as direct access to knowledge about relevant topics in relation to (research on and with) language resources. The main tool is the 'Virtual Language Observatory' providing metadata and access to the different national CLARIN centers and their data.
Country
ArkeoGIS is a unified scientific data publishing platform. It is a multilingual Geographic Information System (GIS), initially developed in order to mutualize archaeological and paleoenvironmental data of the Rhine Valley. Today, it allows the pooling of spatialized scientific data concerning the past, from prehistory to the present day. The databases come from the work of institutional researchers, doctoral students, master students, private companies and archaeological services. They are stored on the TGIR Huma-Num service grid and archived as part of the Huma-Num/CINES long-term archiving service. Because of their sensitive nature, which could lead to the looting of archaeological deposits, access to the tool is reserved to archaeological professionals, from research institutions or non-profit organizations. Each user can query online all or part of the available databases and export the results of his query to other tools.
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sciencedata.dk is a research data store provided by DTU, the Danish Technical University, specifically aimed at researchers and scientists at Danish academic institutions. The service is intended for working with and sharing active research data as well as for safekeeping of large datasets. The data can be accessed and manipulated via a web interface, synchronization clients, file transfer clients or the command line. The service is built on and with open-source software from the ground up: FreeBSD, ZFS, Apache, PHP, ownCloud/Nextcloud. DTU is actively engaged in community efforts on developing research-specific functionality for data stores. Our servers are attached directly to the 10-Gigabit backbone of "Forskningsnettet" (the National Research and Education Network of Denmark) - implying that up and download speed from Danish academic institutions is in principle comparable to those of an external USB hard drive. Data store for research data allowing private sharing and sharing via links / persistent URLs.
Country
The main focus of tambora.org is Historical Climatology. Years of meticulous work in this field in research groups around the world have resulted in large data collections on climatic parameters such as temperature, precipitation, storms, floods, etc. with different regional, temporal and thematic foci. tambora.org enables researchers to collaboratively interpret the information derived from historical sources. It provides a database for original text quotations together with bibliographic references and the extracted places, dates and coded climate and environmental information.