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Found 160 result(s)
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.
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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.
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Built on the Islandora digital repository framework, the UPEI hosted Published and Archived Data (data.upei.ca) service provides researchers with a place to securely publish or archive their research datasets.
The University of Pittsburgh English Language Institute Corpus (PELIC) is a 4.2-million-word learner corpus of written texts. These texts were collected in an English for Academic Purposes (EAP) context over seven years in the University of Pittsburgh’s Intensive English Program, and were produced by over 1100 students with a wide range of linguistic backgrounds and proficiency levels. PELIC is longitudinal, offering greater opportunities for tracking development in a natural classroom setting.
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LeoPARD is the institutional repository of the Technical University of Braunschweig and is operated by the University Library. It is used for the publication of research results and documentation by scientists of the TU Braunschweig.
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The UWA Profiles and Research Repository contains research publications, research datasets, theses, equipment, grants and activities created by researchers and postgraduates affiliated with the University of Western Australia (UWA). It is managed by the University Library and provides access to research datasets held at UWA. The information about each dataset has been provided by UWA research groups. Dataset metadata is harvested into Research Data Australia (RDA) https://researchdata.edu.au/.
The University of Cape Town (UCT) uses Figshare for institutions for their data repository, which was launched in 2017 and is called ZivaHub: Open Data UCT. ZivaHub serves principal investigators at the University of Cape Town who are in need of a repository to store and openly disseminate the data that support their published research findings. The repository service is provided in terms of the UCT Research Data Management Policy. It provides open access to supplementary research data files and links to their respective scholarly publications (e.g. theses, dissertations, papers et al) hosted on other platforms, such as OpenUCT.
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Kadi4Mat instance for use at the Karlsruhe Institute of Technology (KIT) and for cooperations, including the Cluster of Competence for Solid-state Batteries (FestBatt), the Battery Competence Cluster Analytics/Quality Assurance (AQua), and more. Kadi4Mat is the Karlsruhe Data Infrastructure for Materials Science, an open source software for managing research data. It is being developed as part of several research projects at the Institute for Applied Materials - Microstructure Modelling and Simulation (IAM-MMS) of the Karlsruhe Institute of Technology (KIT). The goal of this project is to combine the ability to manage and exchange data, the repository , with the possibility to analyze, visualize and transform said data, the electronic lab notebook (ELN). Kadi4Mat supports a close cooperation between experimenters, theorists and simulators, especially in materials science, to enable the acquisition of new knowledge and the development of novel materials. This is made possible by employing a modular and generic architecture, which allows to cover the specific needs of different scientists, each utilizing unique workflows. At the same time, this opens up the possibility of covering other research disciplines as well.
IAGOS aims to provide long-term, regular and spatially resolved in situ observations of the atmospheric composition. The observation systems are deployed on a fleet of 10 to 15 commercial aircraft measuring atmospheric chemistry concentrations and meteorological fields. The IAGOS Data Centre manages and gives access to all the data produced within the project.
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Figshare has been chosen as the University of Adelaide's official data and digital object repository with unlimited local storage. All current staff and HDR students can access and publish research data and digital objects on the University of Adelaide's Figshare site. Because Figshare is cloud-based, you can access it anywhere and at any time.
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GFZ Data Services is a repository for research data and scientific software across the Earth System Sciences, hosted at GFZ. The curated data are archived, persistently accessible and published with digital object identifier (DOI). They range from large dynamic datasets from global monitoring networks with real-time aquisition, to international services in geodesy and geophysics, to the full suite of small and highly heterogeneous datasets collected by individual researchers or small teams ("long-tail data"). In addition to the DOI registration and data archiving itself, GFZ Data Services team offers comprehensive consultation by domain scientists and IT specialists. Among others, GFZ Data Services is data publisher for the IAG Services ICGEM, IGETS and ISG (IAG = Int. Association for Geodesy; ICGEM = Int. Center for Global Earth Models; IGETS = Int. Geodynamics and Earth Tide Service; ISG = Int. Service for the Geoid), the World Stress Map, INTERMAGNET, GEOFON, the Geophysical Instrument Pool Potsdam GIPP, TERENO, EnMAP Flight Campaigns, the Potsdam Institute for Climate Impact Research PIK, the Specialised Information Service for Solid Earth Geosciences (FID GEO) and hosts the GFZ Catalogue for the International Generic Sample Number IGSN.
The Genomic Observatories Meta-Database (GEOME) is a web-based database that captures the who, what, where, and when of biological samples and associated genetic sequences. GEOME helps users with the following goals: ensure the metadata from your biological samples is findable, accessible, interoperable, and reusable; improve the quality of your data and comply with global data standards; and integrate with R, ease publication to NCBI's sequence read archive, and work with an associated LIMS. The initial use case for GEOME came from the Diversity of the Indo-Pacific Network (DIPnet) resource.
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The IDR makes datasets that have never previously been accessible publicly available, allowing the community to search, view, mine and even process and analyze large, complex, multidimensional life sciences image data. Sharing data promotes the validation of experimental methods and scientific conclusions, the comparison with new data obtained by the global scientific community, and enables data reuse by developers of new analysis and processing tools.
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>>>!!!<<< Data originally published in the JCB DataViewer has been moved BioStudies. Please note that while the majority of data were moved, some authors opted to remove their data completely. >>>!!!<<< Migrated data can be found at https://www.ebi.ac.uk/biostudies/JCB/studies. Screen data are available in the Image Data Resource repository. http://idr.openmicroscopy.org/webclient/?experimenter=-1 >>>!!!<<< The DataViewer was decommissioned in 2018 as the journal evolved to an all-encompassing archive policy towards original source data and as new data repositories that go beyond archiving data and allow investigators to make new connections between datasets, potentially driving discovery, emerged. JCB authors are encouraged to make available all datasets included in the manuscript from the date of online publication either in a publicly available database or as supplemental materials hosted on the journal website. We recommend that our authors store and share their data in appropriate publicly available databases based on data type and/or community standard. >>>!!!<<<
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HAL is a multidisciplinary open archive that allows research results to be shared in open access, whether published or not. It is at the service of researchers affiliated with academic institutions, whether public or private. In France, HAL is the national archive chosen by the French scientific and academic community for the open dissemination of its research results. The archive is also accessible to researchers affiliated with foreign academic institutions, whether public or private.
ARES (Aerosol Remote Sensing) is the ACTRIS (Aerosol, Cloud and Trace Gases Research Infrastructure) Data Centre unit for aerosol remote sensing profiling. ACTRIS-ARES host and manage the ACTRIS-EARLINET database, that represents a comprehensive, quantitative, and statistically significant collection of data for the aerosol distribution on European scale. ARES provides data curation, data processing and data access services for ACTRIS aerosol remote sensing data coming from lidar and photometer observations. Additionally, ARES hosts and manage the EARLINET web site and offers data services and digital tools to EARLINET and beyond. Major objectives also include the development and validation of new synergetic remote sensing algorithms, and the continuous evaluation of the representation of atmospheric aerosol parameters in climate and weather forecast models.
Genome track alignments using GBrowse on this site are featured with: (1) Annotated and predicted genes and transcripts; (2) QTL / SNP Association tracks; (3) OMIA genes; (4) Various SNP Chip tracks; (5) Other mapping fetures or elements that are available.
The goal of the NeuroElectro Project is to extract information about the electrophysiological properties (e.g. resting membrane potentials and membrane time constants) of diverse neuron types from the existing literature and place it into a centralized database.
Reference anatomies of the brain and corresponding atlases play a central role in experimental neuroimaging workflows and are the foundation for reporting standardized results. The choice of such references —i.e., templates— and atlases is one relevant source of methodological variability across studies, which has recently been brought to attention as an important challenge to reproducibility in neuroscience. TemplateFlow is a publicly available framework for human and nonhuman brain models. The framework combines an open database with software for access, management, and vetting, allowing scientists to distribute their resources under FAIR —findable, accessible, interoperable, reusable— principles. TemplateFlow supports a multifaceted insight into brains across species, and enables multiverse analyses testing whether results generalize across standard references, scales, and in the long term, species, thereby contributing to increasing the reliability of neuroimaging results.
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bio.tools is a software registry for bioinformatics and the life sciences.
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The BAW is a research institute for the Federal Ministry of Transport and acts as an advisor to the federal government for issues of waterway engineering. In this role the BAW consumes and produces large volumes of data and information. As part of the implementation of Open Data legislation and in support of Open Data and Open Access principles, the BAW provides access to scientific data together with their metadata. The BAW-Datenrepository was developed as a point of access for hydraulic engineering experts, contractors and customers of the BAW as well as the general public. It is a source for quality-assured information and provides standardised, long-term access to waterway engineering data. The BAW-Datenrepository supports the targeted search for information and data and gives direct access to them. By publishing its scientific data, the BAW promotes transparency in public discourse as well as accountability of public administration enabling the data to create value beyond the BAW.