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Found 179 result(s)
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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.
This interface provides access to several types of data related to the Chesapeake Bay. Bay Program databases can be queried based upon user-defined inputs such as geographic region and date range. Each query results in a downloadable, tab- or comma-delimited text file that can be imported to any program (e.g., SAS, Excel, Access) for further analysis. Comments regarding the interface are encouraged. Questions in reference to the data should be addressed to the contact provided on subsequent pages.
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Rodare is the institutional research data repository at HZDR (Helmholtz-Zentrum Dresden-Rossendorf). Rodare allows HZDR researchers to upload their research software and data and enrich those with metadata to make them findable, accessible, interoperable and retrievable (FAIR). By publishing all associated research software and data via Rodare research reproducibility can be improved. Uploads receive a Digital Object Identfier (DOI) and can be harvested via a OAI-PMH interface.
The Southern California Earthquake Data Center (SCEDC) operates at the Seismological Laboratory at Caltech and is the primary archive of seismological data for southern California. The 1932-to-present Caltech/USGS catalog maintained by the SCEDC is the most complete archive of seismic data for any region in the United States. Our mission is to maintain an easily accessible, well-organized, high-quality, searchable archive for research in seismology and earthquake engineering.
The Estonian Social Science Data Archive (ESSDA) contains Estonian Social science data and survey data, as well as university publications and Estonian radio archival materials.
Neuroimaging Tools and Resources Collaboratory (NITRC) is currently a free one-stop-shop environment for science researchers that need resources such as neuroimaging analysis software, publicly available data sets, and computing power. Since its debut in 2007, NITRC has helped the neuroscience community to use software and data produced from research that, before NITRC, was routinely lost or disregarded, to make further discoveries. NITRC provides free access to data and enables pay-per-use cloud-based access to unlimited computing power, enabling worldwide scientific collaboration with minimal startup and cost. With NITRC and its components—the Resources Registry (NITRC-R), Image Repository (NITRC-IR), and Computational Environment (NITRC-CE)—a researcher can obtain pilot or proof-of-concept data to validate a hypothesis for a few dollars.
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mdw Repository provides researchers with a robust infrastructure for research data management and ensures accessibility of research data during and after completion of research projects, thus, providing a quality boost to contemporary and future research.
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The Common Research Data Repository (Deposita Dados) is a database for archiving, publishing, disseminating, preserving and sharing digital research data and its mission is to promote, support and facilitate the adoption of open access to the datasets of Brazilian researchers linked to scientific institutions that do not yet have their own research data repositories and/or of Brazilian researchers who have executed their datasets through scientific collaboration in foreign teaching and research institutions.
Antarctic marine and terrestrial biodiversity data is widely scattered, patchy and often not readily accessible. In many cases the data is in danger of being irretrievably lost. Biodiversity.aq establishes and supports a distributed system of interoperable databases, giving easy access through a single internet portal to a set of resources relevant to research, conservation and management pertaining to Antarctic biodiversity. biodiversity.aq provides access to both marine and terrestrial Antarctic biodiversity data.
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The Scientific Database of the Federal University of Paraná aims to gather the scientific data used in the researches that were published by the UFPR community in theses, dissertations, journal articles, and other bibliographic materials. BDC joins RDI / UFPR as an innovative service that tracks the worldwide trend in research planning, management, production, organization, storage, dissemination and reuse. The availability of research data contributes to the transparency and optimization of scientific production through the reuse of data sets and the possibility of new analyzes and approaches
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The nature of the ‘Bridge of Data’ project is to design and build a platform that allows collecting, searching, analyzing and sharing open research data and to provide it with unique data collected from the three most important Pomeranian universities: Gdańsk University of Technology, Medical University of Gdańsk and the University of Gdańsk. These data will be made available free of charge to the scientific community, entrepreneurs and the public. A bridge will be built to allow reuse of Open Research Data. The available research data will be described by standards developed by dedicated, experienced scientific teams. The metadata will allow other external computer systems to interpret the collected data. ORD descriptions will also include data reuse or reduction scenarios to facilitate further processing.
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.
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The National High Energy Physics Science Data Center (NHEPSDC) is a repository for high-energy physics. In 2019, it was designated as a scientific data center at the national level by the Ministry of Science and Technology of China (MOST). NHEPSDC is constructed and operated by the Institute of High Energy Physics (IHEP) of the Chinese Academy of Sciences (CAS). NHEPSDC consists of a main data center in Beijing, a branch center in Guangdong-Hong Kong-Macao Greater Bay Area, and a branch center in Huairou District of Beijing. The mission of NHEPSDC is to provide the services of data collection, archiving, long-term preservation, access and sharing, software tools, and data analysis. The services of NHEPSDC are mainly for high-energy physics and related scientific research activities. The data collected can be roughly divided into the following two categories: one is the raw data from large scientific facilities, and the other is data generated from general scientific and technological projects (usually supported by government funding), hereafter referred to as generic data. More than 70 people work in NHEPSDC now, with 18 in high-energy physics, 17 in computer science, 15 in software engineering, 20 in data management and some other operation engineers. NHEPSDC is equipped with a hierarchical storage system, high-performance computing power, high bandwidth domestic and international network links, and a professional service support system. In the past three years, the average data increment is about 10 PB per year. By integrating data resources with the IT environment, a state-of-art data process platform is provided to users for scientific research, the volume of data accessed every year is more than 400 PB with more than 10 million visits.
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Research Data Unipd is a data archive and supports research produced by the members of the University of Padova. The service aims to facilitate data discovery, data sharing, and reuse, as required by funding institutions (eg. European Commission). Datasets published in the archive have a set of metadata that ensure proper description and discoverability.
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The AMUReD Institutional Research Data Repository of the Adam Mickiewicz University in Poznan (UAM) collects and provides access to digital versions of research data collected, processed or produced as part of the scientific research or developmental work of UAM employees.The AMUReD Repository is part of the AMU Research Portal, with University Library in Poznan as the operating unit. Depositing data is possible after logging into the AMU Research Portal, according to the attached instructions. The AMUReD repository is open, and research data are made available in three models: open (Open Access), embargo (Embargo) and closed (Restricted Access). The detailed rules of the AMUReD repository are defined in the Regulations. The AMUReD repository complies with the FAIR Principles. Each dataset is given a unique DOI identifier. The AMUReD repository complies with the FAIR Principles. Each dataset is given a unique DOI identifier. The prefix for DOIs is doi:10.60629. It is possible to choose a Creative Commons license for shared datasets.
An increasing number of Language Resources (LT) in the various fields of Human Language Technology (HLT) are distributed on behalf of ELRA via its operational body ELDA, thanks to the contribution of various players of the HLT community. Our aim is to provide Language Resources, by means of this repository, so as to prevent researchers and developers from investing efforts to rebuild resources which already exist as well as help them identify and access those resources.
The Digital Collections repository is a service that provides free and open access to the scholarship and creative works produced and owned by the Texas State University community. The Wittliff Collections, located on the seventh floor of the Albert B. Alkek Library at Texas State University, was founded by William D. Wittliff in 1987. The Wittliff Collections include 2 collections. 1. The Southwestern Writers Collection: These Collection holds the papers of numerous 20th century writers and the Southwestern & Mexican Photography Collection. The film holdings contain over 500 film and television screenplays as well as complete production archives for several popular films, including the television miniseries Lonesome Dove. The music holdings represent the breadth and scope of popular Texas sounds. 2. Mexican Photography Collection: The Southwestern & Mexican Photography Collection assembles a broad range of photographic work from the Southwestern United States and Mexico, from the 19th-century to the present day.
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This site provides access to over 210,000 digitized or born-digital images in the Koç University collections featuring prints, photographs, slides, maps, newspapers, posters, postcards, manuscripts, streaming video, and more. The collections consist of the materials of the Koç University Libraries and Archives (AKMED, ANAMED, SKL, and VEKAM), Koç University Faculty and Departments, and projects carried out in partnership with the Koç University Libraries. It includes the Koç University Institutional Repository (KU-IR).
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Swedish National Data Service (SND) is a research data infrastructure designed to assist researchers in preserving, maintaining, and disseminating research data in a secure and sustainable manner. The SND Search function makes it easy to find, use, and cite research data from a variety of scientific disciplines. Together with an extensive network of almost 40 Swedish higher education institutions and other research organisations, SND works for increased access to research data, nationally as well as internationally.
The aim of the project is systematic mapping of Czech and other languages in comparison with Czech. CNC corpora are accessible to everybody interested in studying the language after free registration.
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.
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Volare is the repository of the Vorarlberger Landesbibliothek (Vorarlberg State Library). Digital Objects are made end-user-friendly available and they are secured in a long term. Pupils, students, patrimonial researchers but also the general public can use the imagery for various purposes. Volare facilitates access to regional, social and cultural history research. Volare encourages those who rediscover their native place or their holiday desination or just generally want to browse in the past.
The Text Laboratory provides assistance with databases, word lists, corpora and tailored solutions for language technology. We also work on research and development projects alone or in cooperation with others - locally, nationally and internationally. Services and tools: Word and frequency lists, Written corpora, Speech corpora, Multilingual corpora, Databases, Glossa Search Tool, The Oslo-Bergen Tagger, GREI grammar games, Audio files: dialects from Norway and America etc., Nordic Atlas of Language Structures (NALS) Journal, Norwegian in America, NEALT, Ethiopian Language Technology, Access to Corpora