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Found 152 result(s)
RADAR is an online service for the archival and publication of research data resulting from completed scientific studies and projects. RADAR is a generic, interdisciplinary service which offers two service levels: data archival and data publication (including archival). Data archival offers format-independent long-term storage with user-defined rentention periods. By default, archived data and associated metadata will not be published, unless specified otherwise by the RADAR user. The RADAR service offers flexible data and metadata access management, so that RADAR users are able to share preserved datasets with specific users. Bitstream preservation will produce backup copies of the data at three different locations to ensure its long-term availability. - Flexible retention period (5, 10, 15 years) - By default "Dark archive" - Data providers determine access rights (private/shared/public) - Yearly payment scheme for institutions Data publication includes the allocation of a DataCite DOI at point of publication. The RADAR service includes an optional embargo period for the publication of submitted data that can be subsequently prolonged if necessary. The dataset along with the metadata describing the dataset will be published and allocated a DOI to ensure that each specific datasets can be found and cited once any embargo period has expired. Within the publication service, a peer review option may be used. The RADAR user will receive a secure review URL provided by RADAR which may then be forwarded to an editor or reviewer responsible for a corresponding manuscript submission. The respective dataset is locked for the duration of the peer review process. - Unlimited holding period (minimum 25 years guaranteed) - Optional embargos - Assigning a DOI (DataCite) - Interface for peer review - Selection of licences, no CC0 required - Metadata is indexed (RADAR, DataCite, OAI, Google) - One-time payment scheme for institutions
figshare allows researchers to publish all of their research outputs in an easily citable, sharable and discoverable manner. All file formats can be published, including videos and datasets. Optional peer review process. figshare uses creative commons licensing.
Content type(s)
The aim of the research project TOPOI II A-2-4 was to re-evaluate archaeological records and finds resulting from earlier investigations within the context of recent and ongoing research across the region.
Content type(s)
Database of ancient sources concerning Roman Water Law. Specific legal sources, e.g. from the Corpus Iuris Civilis or the Codex Theodosianus, and literary sources, for example from Cicero, Frontinus, Hyginus, Siculus Flaccus or Vitruvius, were collected to give an overview of water related legal problems in ancient Rome. Furthermore, the aim of the database is to classify these sources into different legal topics, in order to facilitate the research for sources concerning specific questions regarding Roman Water Law.
The UK Polar Data Centre (UK PDC) is the focal point for Arctic and Antarctic environmental data management in the UK. Part of the Natural Environmental Research Council’s (NERC) network of environmental data centres and based at the British Antarctic Survey, it coordinates the management of polar data from UK-funded research and supports researchers in complying with national and international data legislation and policy.
The mission of World Data Center for Climate (WDCC) is to provide central support for the German and European climate research community. The WDCC is member of the ICSU's World Data System. Emphasis is on development and implementation of best practice methods for Earth System data management. Data for and from climate research are collected, stored and disseminated. The WDCC is restricted to data products. Cooperations exist with thematically corresponding data centres of, e.g., earth observation, meteorology, oceanography, paleo climate and environmental sciences. The services of WDCC are also available to external users at cost price. A special service for the direct integration of research data in scientific publications has been developed. The editorial process at WDCC ensures the quality of metadata and research data in collaboration with the data producers. A citation code and a digital identifier (DOI) are provided and registered together with citation information at the DOI registration agency DataCite.
The Research Data Repository is the University of Essex's online data repository where research data resulting from research taking place within the university can be deposited, published and made accessible to the research community.
UCL Discovery is UCL's open access repository, showcasing and providing access to UCL research publications. UCL Discovery accepts small scale datasets associated with publications.
GigaDB primarily serves as a repository to host data and tools associated with articles in GigaScience (GigaScience is an online, open-access journal). GigaDB defines a dataset as a group of files (e.g., sequencing data, analyses, imaging files, software programs) that are related to and support an article or study. GigaDB allows the integration of manuscript publication with supporting data and tools.
Libra Data is a place for UVA researchers to share data publicly. It is UVA's local instance of Dataverse. Libra Data is part of the Libra Scholarly Repository suite of services which includes works of UVA scholarship such as articles, books, theses, and data.
UM Dataverse is part of the Dataverse Project conceived of by Harvard University. It is an open source repository to assist researchers in the creation, management and dissemination of their research data. UM Dataverse allows for the creation of multiple collaborative environments containing datasets, metadata and digital objects. UM Dataverse provides formal scholarly data citations and can help with data requirements from publishers and funders.
e-cienciaDatos is a multidisciplinary data repository that houses the scientific datasets of researchers from the public universities of the Community of Madrid and the UNED, members of the Consorcio Madroño, in order to give visibility to these data, to ensure its preservation And facilitate their access and reuse. e-cienciaDatos is structured as a system constituted by different communities that collects datasets of each of the individual universities. e-cienciaDatos offers the deposit and publication of datasets, assigning a digital object identifier DOI to each of them. The association of a dataset with a DOI will facilitate data verification, dissemination, reuse, impact and long-term access. In addition, the repository provides a standardized citation for each dataset, which contains sufficient information so that it can be identified and located, including the DOI.
SISMER (Scientific Information Systems for the Sea) is Ifremer's service in charge of managing numerous marine databases and information systems which Ifremer is responsible for implementing. The information systems managed by SISMER range from CATDS (SMOS satellite data) to geoscience data (bathymetry, seismics, geological samples), not forgetting water column data (physics and chemistry, data for operational oceanography – Coriolis - Copernicus CMEMS), fisheries data (Harmonie), coastal environment data (Quadrige 2) and deep-sea environment data (Archimède). SISMER therefore plays a pivotal role in marine database management both for Ifremer and for many national, European and international projects.
Dataverse UNIMI is a data repository runned by the University of Milan. The service aims at facilitating 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.
The Center for International Forestry Research (CIFOR) envisions a more equitable world where forestry and landscapes enhance the environment and well-being for all. The Center for International Forestry Research (CIFOR) is committed to advancing human well-being, equity and environmental integrity by conducting innovative research, developing partners’ capacity and actively engaging in dialogue with all stakeholders to inform policies and practices that affect forests and people.
BacDive is a bacterial metadatabase that provides strain-linked information about bacterial and archaeal biodiversity. The database is a resource for different kind of phenotypic data like taxonomy, morphology, physiology, environment and molecular-biology. The majority of data is manually annotated and curated. With the release in April 2019 BacDive offers information for 80,584 strains. The database is hosted by the Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures GmbH and is part of de.NBI the German Network for Bioinformatics Infrastructure.
The Digital Atlas of Innovations presents the oldest evidence for innovations over a long time period. This collection presents the data/information at the basis of the atlas in stable and citable manner.
The Research Data Centre (Forschungsdatenzentrum, FDZ) at the Institute for Educational Quality Improvement (Institut zur Qualitätsentwicklung im Bildungswesen, IQB) archives and documents data sets resulting from national and international assessment studies (such as DESI, PIRLS, PISA). Moreover, the FDZ makes these data sets available for re- and secondary analysis. Members of the scientific community can apply for access to the data sets archived at the FDZ.
The Colombian Biodiversity Information Facility (SiB Colombia) is a national initiative established in early 2000 and coordinated by Instituto Humboldt to facilitate free and open access to biodiversity data. It comprises a network of more than 100 organizations (including universities, biological collections, research institutes, environmental authorities and NGOs among others) that work together to ensure that biodiversity data is available to support further research, education, policy making and incentive measures for the conservation and sustainable use of biodiversity. SiB Colombia’s mission is to facilitate the management of biodiversity data by bringing together users, publishers and data producers to support research, education and decision making related to knowledge, conservation and sustainable use of biodiversity and ecosystem services. SiB Colombia aims to consolidate the collaborative platform that facilitates the generation, use and democratization of knowledge on the biodiversity of Colombia. Thus, SiB Colombia contributes to a vision of a society that knows and values the biodiversity in which it is immersed, and uses such knowledge for its development.
PetDB, the Petrological Database, is a web-based data management system that provides on-line access to geochemical and petrological data. PetDB is a global synthesis of chemical, isotopic, and mineralogical data for rocks, minerals, and melt inclusions. PetDB's current content focuses on data for igneous and metamorphic rocks from the ocean floor, specifically mid-ocean ridge basalts and abyssal peridotites and xenolith samples from the Earth's mantle and lower crust. PetDB is maintained and continuously updated as part of the EarthChem data collections.
The Project on Human Development in Chicago Neighborhoods (PHDCN) is a large-scale, interdisciplinary study of how families, schools, and neighborhoods affect child and adolescent development. It was designed to advance the understanding of the developmental pathways of both positive and negative human social behaviors. In particular, the project examined the causes and pathways of juvenile delinquency, adult crime, substance abuse, and violence. At the same time, the project also provided a detailed look at the environments in which these social behaviors take place by collecting substantial amounts of data about urban Chicago, including its people, institutions, and resources. Nearly all PHDCN data require an individual application with supporting materials to obtain the data. Applications are handled by the the National Archive of Criminal Justice Data (NACJD). Further instructions will appear on the study home page (linked from search results), where relevant.
The research data of the last 6000 years were produced using global and regional climate simulations. Climate models of the present and future climate are applied as background for the simulations. The global climate was simulated in a high spatial resolution by using the so-called time slice approach for chosen periods in the past 6000 years.