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Found 36 result(s)
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The repository is no longer available. >>>!!!<<< 2021-01-25: no more access to California Water CyberInfrastructure >>>!!!<<<
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Risklayer Explorer is a collaboration between Risklayer GmbH and the Karlsruhe Institute of Technology's Center for Disaster Risk Management and Risk Reduction Technology (CEDIM). This website is still under development, but we are going live with it already, because we want to present data on the Novel Coronavirus (COVID-19) to help inform the public of the current situation.
You will be able to track disaster events and read about our analysis here. Our work is a continuation of a new style of disaster research started by CEDIM in 2011 to analyze disasters immediately after their occurrence, assess the impacts, and retrace the temporal development of disaster events. We are already analyzing damaging earthquakes globally, providing you with event characteristics, earthquake's intensity footprints, as well as the population affected by earthquakes. In addition to earthquake events, we expect to be tracking and analyzing tropical cyclone, volcano and extreme weather events in 2020.
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The German Socio-Economic Panel Study (SOEP) is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung.
The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984.
Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators.
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Bridges is Monash University's repository for research data, collections, and research activity outputs. It is also the home of the University's online archive of PhD and Masters by Research theses.
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Catena, the Digital Archive of Historic Gardens and Landscapes, is a collection of historic and contemporary images, including plans, engravings, and photographs, intended to support research and teaching in the fields of garden history and landscape studies. Created through the collaborative efforts of landscape historians and institutions, the initial offering of images is focused on the Villas as a Landscape Type.
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The repository is no longer available. >>>!!!<<< 2018-09-14: no more access to GIS Data Depot >>>!!!<<<
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Survey of India, The National Survey and Mapping Organization of the country under the Department of Science & Technology, is the OLDEST SCIENTIFIC DEPARTMENT OF THE GOVT. OF INDIA. It was set up in 1767 and has evolved rich traditions over the years. In its assigned role as the nation's Principal Mapping Agency, Survey of India bears a special responsibility to ensure that the country's domain is explored and mapped suitably, provide base maps for expeditious and integrated development and ensure that all resources contribute with their full measure to the progress, prosperity and security of our country now and for generations to come.
The history of the Survey of India dates back to the 18th Century. Forerunners of army of the East India Company and Surveyors had an onerous task of exploring the unknown. Bit by bit the tapestry of Indian terrain was completed by the painstaking efforts of a distinguished line of Surveyors such as Mr. Lambton and Sir George Everest. It is a tribute to the foresight of such Surveyors that at the time of independence the country inherited a survey network built on scientific principles. The great Trigonometric series spanning the country from North to South East to West are some of the best geodetic control series available in the world. The scientific principles of surveying have since been augmented by the latest technology to meet the multidisciplinary requirement of data from planners and scientists.
Organized into only 5 Directorates in 1950, mainly to look after the mapping needs of Defense Forces in North West and North East, the Department has now grown into 22 Directorates spread in approx. all parts (states) of the country to provide the basic map coverage required for the development of the country. Its technology, latest in the world, has been oriented to meet the needs of defense forces, planners and scientists in the field of geo-sciences, land and resource management. Its expert advice is being utilized by various Ministries and undertakings of Govt. of India in many sensitive areas including settlement of International borders, State boundaries and in assisting planned development of hitherto under developed areas.
Faced with the requirement of digital topographical data, the department has created three Digital Centers during late eighties to generate Digital Topographical Data Base for the entire country for use in various planning processes and creation of geographic information system. Its specialized Directorates such as Geodetic and Research Branch, and Indian Institute of Surveying & Mapping (erstwhile Survey Training Institute) have been further strengthened to meet the growing requirement of user community. The department is also assisting in many scientific programs of the Nation related to the field of geo-physics, remote sensing and digital data transfers.
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Government of Yukon open data provides an easy way to find, access and reuse the government's public datasets. This service brings all of the government's data together in one searchable website. Our datasets are created and managed by different government departments. We cannot guarantee the quality or timeliness of all data. If you have any feedback you can get in touch with the department that produced the dataset. This is a pilot project. We are in the process of adding a quality framework to make it easier for you to access high quality, reliable data.
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The Virtual Research Environment (VRE) is an open-source data management platform that enables medical researchers to store, process and share data in compliance with the European Union (EU) General Data Protection Regulation (GDPR). The VRE addresses the present lack of digital research data infrastructures fulfilling the need for (a) data protection for sensitive data, (b) capability to process complex data such as radiologic imaging, (c) flexibility for creating own processing workflows, (d) access to high performance computing. The platform promotes FAIR data principles and reduces barriers to biomedical research and innovation. The VRE offers a web portal with graphical and command-line interfaces, segregated data zones and organizational measures for lawful data onboarding, isolated computing environments where large teams can collaboratively process sensitive data privately, analytics workbench tools for processing, analyzing, and visualizing large datasets, automated ingestion of hospital data sources, project-specific data warehouses for structured storage and retrieval, graph databases to capture and query ontology-based metadata, provenance tracking, version control, and support for automated data extraction and indexing. The VRE is based on a modular and extendable state-of-the art cloud computing framework, a RESTful API, open developer meetings, hackathons, and comprehensive documentation for users, developers, and administrators. The VRE with its concerted technical and organizational measures can be adopted by other research communities and thus facilitates the development of a co-evolving interoperable platform ecosystem with an active research community.
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The US BRAIN Initiative archive for publishing and sharing neurophysiology data including electrophysiology, optophysiology, and behavioral time-series, and images from immunostaining experiments.
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CiteSeerx is an evolving scientific literature digital library and search engine that focuses primarily on the literature in computer and information science. CiteSeerx aims to improve the dissemination of scientific literature and to provide improvements in functionality, usability, availability, cost, comprehensiveness, efficiency, and timeliness in the access of scientific and scholarly knowledge. Rather than creating just another digital library, CiteSeerx attempts to provide resources such as algorithms, data, metadata, services, techniques, and software that can be used to promote other digital libraries. CiteSeerx has developed new methods and algorithms to index PostScript and PDF research articles on the Web.
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Teesside University Research Data Repository links to the University's Research Portal and enables your datasets to be linked to your staff profile. It helps prevent data loss by storing it in a safe secure environment and enables your research data to be open access. https://researchdata.tees.ac.uk/about.
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Results from time-series analysis of Landsat images in characterizing global forest extent and change from 2000 through 2016.
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Kaggle is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. This crowdsourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modelling task and it is impossible to know beforehand which technique or analyst will be most effective.
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The Institutional Repository of the Universidad Santo Tomás manages, preserves, stores, disseminates and provides access to digital objects, the product of all academic and administrative production.
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The CONP portal is a web interface for the Canadian Open Neuroscience Platform (CONP) to facilitate open science in the neuroscience community. CONP simplifies global researcher access and sharing of datasets and tools. The portal internalizes the cycle of a typical research project: starting with data acquisition, followed by processing using already existing/published tools, and ultimately publication of the obtained results including a link to the original dataset.
From more information on CONP, please visit https://conp.ca
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As 3D and reality capture strategies for heritage documentation become more widespread and available, there has emerged a growing need to assist with guiding and facilitating accessibility to data, while maintaining scientific rigor, cultural and ethical sensitivity, discoverability, and archival standards. In response to these areas of need, The Open Heritage 3D Alliance (OHA) has developed as an advisory group governing the Open Heritage 3D initiative. This collaborative advisory group are among some of the earliest adopters of 3D heritage documentation technologies, and offer first-hand guidance for best practices in data management, sharing, and dissemination approaches for 3D cultural heritage projects.
The founding members of the OHA, consist of experts and organizational leaders from CyArk, Historic Environment Scotland, and the University of South Florida Libraries, who together have significant repositories of legacy and on-going 3D research and documentation projects. These groups offer unique insight into not only the best practices for 3D data capture and sharing, but also have come together around concerns dealing with standards, formats, approach, ethics, and archive commitment. Together, the OHA has begun the journey to provide open access to cultural heritage 3D data, while maintaining integrity, security, and standards relating to discoverable dissemination. Together, the OHA will work to provide democratized access to primary heritage 3D data submitted from donors and organizations, and will help to facilitate an operation platform, archive, and organization of resources into the future.
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The U.S. launched the Joint Global Ocean Flux Study (JGOFS) in the late 1980s to study the ocean carbon cycle. An ambitious goal was set to understand the controls on the concentrations and fluxes of carbon and associated nutrients in the ocean. A new field of ocean biogeochemistry emerged with an emphasis on quality measurements of carbon system parameters and interdisciplinary field studies of the biological, chemical and physical process which control the ocean carbon cycle. As we studied ocean biogeochemistry, we learned that our simple views of carbon uptake and transport were severely limited, and a new "wave" of ocean science was born. U.S. JGOFS has been supported primarily by the U.S. National Science Foundation in collaboration with the National Oceanic and Atmospheric Administration, the National Aeronautics and Space Administration, the Department of Energy and the Office of Naval Research. U.S. JGOFS, ended in 2005 with the conclusion of the Synthesis and Modeling Project (SMP).
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This website provides access to published open map data from the City of Cambridge.
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Provided by the University Libraries, KiltHub is the comprehensive institutional repository and research collaboration platform for research data and scholarly outputs produced by members of Carnegie Mellon University and their collaborators. KiltHub collects, preserves, and provides stable, long-term global open access to a wide range of research data and scholarly outputs created by faculty, staff, and student members of Carnegie Mellon University in the course of their research and teaching.
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IPUMS is the world's largest accessible collection of individual-level data on population, and is a collaboration of over 100 national statistical agencies.
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the Data Hub is a community-run catalogue of useful sets of data on the Internet. You can collect links here to data from around the web for yourself and others to use, or search for data that others have collected. Depending on the type of data (and its conditions of use), the Data Hub may also be able to store a copy of the data or host it in a database, and provide some basic visualisation tools.
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- Humanities and Social Sciences
- Engineering Sciences
- Geosciences (including Geography)
- Medicine
- Computer Science
- Mathematics
- Physics
- Psychology
- Social Sciences
- Life Sciences
- Natural Sciences
- Medicine
- Computer Science, Electrical and System Engineering
- Social and Behavioural Sciences
- Biology
- Chemistry
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Brunel Figshare (brunel.figshare.com) is a Data Repository where Brunel’s researchers can deposit their digital Research Data, to make it available in a citable, shareable and discoverable manner.
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The COVID-19 pandemic has affected every country in the world. It is well documented that those most susceptible to the worst outcomes of COVID-19 are the immunocompromised and those with underlying comorbidities. Therefore, patients requiring treatment for COVID-19 will also be on additional medication, posing a risk for drug-drug interactions (DDIs). In order to address this, the Liverpool Drug Interactions website team developed this freely available drug interactions resource to provide information on the likelihood of interactions between the experimental agents used for the treatment of COVID-19 and commonly prescribed co-medications.
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INDI was formed as a next generation FCP effort. INDI aims to provide a model for the broader imaging community while simultaneously creating a public dataset capable of dwarfing those that most groups could obtain individually.
- Current projects
- EOSC FAIR-IMPACT
- re3data COREF
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To the extent possible under law,
re3data.org
has waived all copyright and related or neighboring rights to
the database entries of re3data.org.
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Except where otherwise noted, content on this site is licensed under a
Creative Commons Attribution 4.0 International License
.
- Cite this service: re3data.org - Registry of Research Data Repositories. https://doi.org/10.17616/R3D last accessed: 2024-04-24
