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Found 3204 result(s)
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TechnoRep is the institutional digital repository of the University of Belgrade - Faculty of Technology and Metallurgy. It provides open access to publications and other research outputs resulting from the projects implemented by the Faculty of Technology and Metallurgy. The software platform of the repository is adapted to the modern standards applied in the dissemination of scientific publications and is compatible with international infrastructure in this field.
The GSA Data Repository is an open file in which authors of articles in our journals can place information that supplements and expands on their article. These supplements will not appear in print but may be obtained from GSA.
The English Lexicon Project (supported by the National Science Foundation) affords access to a large set of lexical characteristics, along with behavioral data from visual lexical decision and naming studies of 40,481 words and 40,481 nonwords.
The OpenNeuro project (formerly known as the OpenfMRI project) was established in 2010 to provide a resource for researchers interested in making their neuroimaging data openly available to the research community. It is managed by Russ Poldrack and Chris Gorgolewski of the Center for Reproducible Neuroscience at Stanford University. The project has been developed with funding from the National Science Foundation, National Institute of Drug Abuse, and the Laura and John Arnold Foundation.
Yareta is a repository service built on digital solutions for archiving, preserving and sharing research data that enable researchers and institutions of any disciplines to share and showcase their research results. The solution was developed as part of a larger project focusing on Data Life Cycle Management (dlcm.ch) that aims to develop various services for research data management. Thanks to its highly modular architecture, Yareta can be adapted both to small institutions that need a "turnkey" solution and to larger ones that can rely on Yareta to complement what they have already implemented. Yareta is compatible with all formats in use in the different scientific disciplines and is based on modern technology that interconnects with researchers' environments (such as Electronic Laboratory Notebooks or Laboratory Information Management Systems).
The University of Reading Research Data Archive (the Archive) is a multidisciplinary online service for the registration, preservation and publication of research datasets produced or collected at the University of Reading.
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The speaking language atlas gives a multimedia impression of the dialects of the state Baden-Württemberg in Germany. The maps of the Speaking Language Atlas of Baden-Württemberg are based on two databases: Südwestdeutschen Sprachatlas (SSA) and the Sprachatlas von Nord Baden-Württemberg (SNBW). The dialect recordings that form the basis for the maps were carried out at the SSA between 1974 and 1986, but at the SNBW between 2009 and 2012. For the southern part, this means that the maps may present a state of affairs that is no longer valid today.
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The Norwegian Polar Institute is a governmental institution for scientific research, mapping and environmental monitoring in the Arctic and the Antarctic. The institute’s Polar Data Centre (NPDC) manages and provides access to scientific data, environmental monitoring data, and topographic and geological map data from the polar regions. The scientific datasets are ranging from human field observations, through in situ and moving sensor data, to remote sensing products. The institute's data holdings also include photographic images, audio and video records.
Forestry Images provides an accessible and easy to use archive of high quality images related to forest health and silviculture
PORTULAN CLARIN Research Infrastructure for the Science and Technology of Language, belonging to the Portuguese National Roadmap of Research Infrastructures of Strategic Relevance, and part of the international research infrastructure CLARIN ERIC
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<<<!!!<<< 2019-12-23: the repository is offline >>>!!!>>> Introduction of genome-scale metabolic network: The completion of genome sequencing and subsequent functional annotation for a great number of species enables the reconstruction of genome-scale metabolic networks. These networks, together with in silico network analysis methods such as the constraint based methods (CBM) and graph theory methods, can provide us systems level understanding of cellular metabolism. Further more, they can be applied to many predictions of real biological application such as: gene essentiality analysis, drug target discovery and metabolic engineering
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<<<!!!<<< The digital archive of the Historical Data Center Saxony-Anhalt was transferred to the share-it repositor https://www.re3data.org/repository/r3d100013014 >>>!!!>>> The Historical Data Centre Saxony-Anhalt was founded in 2008. Its main tasks are the computer-aided provision, processing and evaluation of historical research data, the development of theoretically consolidated normative data and vocabularies as well as the further development of methods in the context of digital humanities, research data management and quality assurance. The "Historical Data Centre Saxony-Anhalt" sees itself as a central institution for the data service of historical data in the federal state of Saxony-Anhalt and is thus part of a nationally and internationally linked infrastructure for long-term data storage and use. The Centre primarily acquires individual-specific microdata for the analysis of life courses, employment biographies and biographies (primarily quantitative, but also qualitative data), which offer a broad interdisciplinary and international analytical framework and meet clearly defined methodological and technical requirements. The studies are processed, archived and - in compliance with data protection and copyright conditions - made available to the scientifically interested public in accordance with internationally recognized standards. The degree of preparation depends on the type and quality of the study and on demand. Reference studies and studies in high demand are comprehensively documented - often in cooperation with primary researchers or experts - and summarized in data collections. The Historical Data Centre supports researchers in meeting the high demands of research data management. This includes the advisory support of the entire life cycle of data, starting with data production, documentation, analysis, evaluation, publication, long-term archiving and finally the subsequent use of data. In cooperation with other infrastructure facilities of the state of Saxony-Anhalt as well as national and international, interdisciplinary data repositories, the Data Centre provides tools and infrastructures for the publication and long-term archiving of research data. Together with the University and State Library of Saxony-Anhalt, the Data Centre operates its own data repository as well as special workstations for the digitisation and analysis of data. The Historical Data Centre aims to be a contact point for very different users of historical sources. We collect data relating to historical persons, events and historical territorial units.
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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.
TCIA is a service which de-identifies and hosts a large archive of medical images of cancer accessible for public download. The data are organized as “collections”; typically patients’ imaging related by a common disease (e.g. lung cancer), image modality or type (MRI, CT, digital histopathology, etc) or research focus. Supporting data related to the images such as patient outcomes, treatment details, genomics and expert analyses are also provided when available.
The Texas Data Repository is a platform for publishing and archiving datasets (and other data products) created by faculty, staff, and students at Texas higher education institutions. The repository is built in an open-source application called Dataverse, developed and used by Harvard University. The repository is hosted by the Texas Digital Library, a consortium of academic libraries in Texas with a proven history of providing shared technology services that support secure, reliable access to digital collections of research and scholarship. For a list of TDL participating institutions, please visit: https://www.tdl.org/members/.
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More than 25 years ago FIZ Karlsruhe started depositing crystal structure data linked to publications in German journals. At that time it was irrelevant whether the deposited structures were organic or inorganic. Today FIZ Karlsruhe is responsible for storing the structure data of inorganic compounds. Organic structure data are stored by the Cambridge Crystallographic Data Center. Nowadays many publishers inform their authors that in parallel to a publication in a scientific journal, crystal structure data should also be stored in the Crystal Structure Depot at FIZ Karlsruhe. A CSD number will be assigned to the data for later reference in the publication. The data can then be ordered from the Crystal Structure Depot at FIZ Karlsruhe.
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Here you will find information about the diversity of plants, the distribution and ecology as well as the history of the plant species in Frankfurt.
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<<<!!!<<< As stated 2017-11-23 the database is not available anymore >>>!!!>>> ACEpepDB is a database ran by the Central Food Technological Research Institute. It contains records of about 865 peptides. Each record provides information on the food source, preparation, purification and any other additional information. Each record includes the reference(s). The database provides a search and browsing option for a more personalized research experience.
IEDB offers easy searching of experimental data characterizing antibody and T cell epitopes studied in humans, non-human primates, and other animal species. Epitopes involved in infectious disease, allergy, autoimmunity, and transplant are included. The IEDB also hosts tools to assist in the prediction and analysis of B cell and T cell epitopes.
EUMETSAT's primary objective is to establish, maintain and exploit European systems of operational meteorological satellites. EUMETSAT is responsible for the launch and operation of the satellites and for delivering satellite data to end-users as well as contributing to the operational monitoring of climate and the detection of global climate changes. The EUMETSAT Product Navigator is the catalogue for all EUMETSAT data and products.
ClinicalTrials.gov is a website and online database of clinical research studies and information about their results. The purpose of ClinicalTrials.gov is to provide information about clinical research studies to the public, researchers, and health care professionals. The U.S. government does not review or approve the safety and science of all studies listed on this website.
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IGS PAS Data Portal is an open data repository of Institute of Geological Sciences Polish Academy of Sciences. This portal is used to collect and share data, taking into account access to the data from external repositories. IGS PAS data are open and provided for free use for non-commercial purposes under applicable laws on data sharing public and publicly funded. In the case of using data by external entities, the data source must be cited following the guidelines (information on how to cite data is included in the Cite Dataset field).
DaYta Ya Rona is the research data repository of the North-West University to store, share, and explore research data, making it accessible, citable, and shareable