Filter
Reset all

Subjects

Content Types

Countries

AID systems

API

Certificates

Data access

Data access restrictions

Database access

Database access restrictions

Database licenses

Data licenses

Data upload

Data upload restrictions

Enhanced publication

Institution responsibility type

Institution type

Keywords

Metadata standards

PID systems

Provider types

Quality management

Repository languages

Software

Syndications

Repository types

Versioning

  • * at the end of a keyword allows wildcard searches
  • " quotes can be used for searching phrases
  • + represents an AND search (default)
  • | represents an OR search
  • - represents a NOT operation
  • ( and ) implies priority
  • ~N after a word specifies the desired edit distance (fuzziness)
  • ~N after a phrase specifies the desired slop amount
  • 1 (current)
Found 17 result(s)
XSEDE is a single virtual system that scientists can use to interactively share computing resources, data and expertise. People around the world use these resources and services — things like supercomputers, collections of data and new tools — to improve our planet. The Extreme Science and Engineering Discovery Environment (XSEDE) is the most advanced, powerful, and robust collection of integrated advanced digital resources and services in the world. It is a single virtual system that scientists can use to interactively share computing resources, data, and expertise.
WHOI is the world's leading non-profit oceanographic research organization. WHOI maintains unparalleled depth and breadth of expertise across a range of oceanographic research areas. Institution scientists and engineers work collaboratively within and across six research departments to advance knowledge of the global ocean and its fundamental importance to other planetary systems. At the same time, they also train future generations of ocean scientists and address problems that have a direct impact in efforts to understand and manage critical marine resources.
The Centre for the Environment, Fisheries and Aquaculture Science (Cefas), as one of the world's longest-established marine research organisations, has provided advice on the sustainable exploitation of marine resources since 1902. Today Cefas works in support of a healthy environment and a growing blue economy providing innovative solutions for the aquatic environment, biodiversity and food security. The Cefas Data Hub provides access to over 2080 metadata records, with over 5500 data sets available to download and connect to in support of commitments to Open Science through the Data Portal. Datasets available are increasingly diverse and include many legacy datasets including those from fish, shellfish and plankton surveys from the 1980's to the present day. Other increasingly international datasets made available include species migration data from tagging activities and data on habitat and sediment, ecosystem change, human activities including marine litter, otolith sampling and fish stomach contents, oceanography, acoustics, health and water quality. Data is provided under Open Government License by default where feasible.
Country
GCRIS Database is a research and performance evaluation information system that enables searching and discovering all research outputs within the Izmir Institute of Technology research ecosystem, associating these outputs with researchers, providing advanced reporting with different metrics, and supporting corporate strategic decisions. Besides, it is an institutional repository at international standards that brings together and organizes all kinds of academic outputs related to research activities and allows sharing with the whole scientific world by providing long-term preservation.
CERIC Data Portal allows users to consult and manage data related to experiments carried out at CERIC (Central European Research Infrastructure Consortium) partner facilities. Data made available includes scientific datasets collected during experiments, experiment proposals, samples used and publications if any. Users can search for data based on related metadata (both their own data and other peoples' public data).
The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is a team of researchers, data specialists and computer system developers who are supporting the development of a data management system to store scientific data generated by Gulf of Mexico researchers. The Master Research Agreement between BP and the Gulf of Mexico Alliance that established the Gulf of Mexico Research Initiative (GoMRI) included provisions that all data collected or generated through the agreement must be made available to the public. The Gulf of Mexico Research Initiative Information and Data Cooperative (GRIIDC) is the vehicle through which GoMRI is fulfilling this requirement. The mission of GRIIDC is to ensure a data and information legacy that promotes continual scientific discovery and public awareness of the Gulf of Mexico Ecosystem.
The Registry of Open Data on AWS provides a centralized repository of public data sets that can be seamlessly integrated into AWS cloud-based applications. AWS is hosting the public data sets at no charge to their users. Anyone can access these data sets from their Amazon Elastic Compute Cloud (Amazon EC2) instances and start computing on the data within minutes. Users can also leverage the entire AWS ecosystem and easily collaborate with other AWS users.
Country
DIAS aims at collecting and storing earth observation data; analyzing such data in combination with socio-economic data, and converting data into information useful for crisis management with respect to global-scale environmental disasters, and other threats; and to make this information available within Japan and overseas.
<<<!!!<<< All user content from this site has been deleted. Visit SeedMeLab (https://seedmelab.org/) project as a new option for data hosting. >>>!!!>>> SeedMe is a result of a decade of onerous experience in preparing and sharing visualization results from supercomputing simulations with many researchers at different geographic locations using different operating systems. It’s been a labor–intensive process, unsupported by useful tools and procedures for sharing information. SeedMe provides a secure and easy-to-use functionality for efficiently and conveniently sharing results that aims to create transformative impact across many scientific domains.
Country
The arctic data archive system (ADS) collects observation data and modeling products obtained by various Japanese research projects and gives researchers to access the results. By centrally managing a wide variety of Arctic observation data, we promote the use of data across multiple disciplines. Researchers use these integrated databases to clarify the mechanisms of environmental change in the atmosphere, ocean, land-surface and cryosphere. That ADS will be provide an opportunity of collaboration between modelers and field scientists, can be expected.
In its 10-year tenure, NCED has made major contributions to the growth of Earth-Surface Dynamics (ESD) through direct research in three Integrated Programs (IP) of Streams, Watersheds and Deltas. These contributions include: Establishment of experimental geomorphology and stratigraphy as a major source of insight in ESD, Integration of quantitative methods from engineering, physics, and applied math into ESD, Advances in the coupling of life, especially vegetation, and landscape dynamics, Integration of a variety of novel methods from stochastic hydrology, including nonlocal transport and multifractal spatial signatures, into ESD, Advances in providing the scientific basis for restoring streams, and Integration of subsurface structure and stratigraphic records into understanding present-day delta dynamics. All data created or compiled by NCED-funded scientists is archived here.
OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.
Country
The UniSC Research Bank is the institutional research repository for the University of the Sunshine Coast. It provides an open access showcase of the University's scholarly research output ensuring that research is made available to the local, national and international communities. UniSC Research Bank is harvested by search engines, and is also indexed by the National Library of Australia's TROVE. By making research easily accessible, it also facilitates collaboration between researchers. Where possible, access to the full text of the publication is made available, in line with copyright permissions for each output. To access relevant research, use the Browse function, or specific records can be searched for by using the search box. Find research data by filtering by resource type 'Research Dataset'.
Country
Thai National Research Repository (TNRR) is a central database of science, research, and innovation of Thailand managed by the National Research Council of Thailand (NRCT) under the Ministry of Higher Education, Science, Research and Innovation (MHESI) Act B.E. 2562 (2019). The TNRR system serves and disseminates an extensive collection of information to the public as open access to research and innovation knowledge. The goal is to be the system that provides information services on Thailand's research findings. This information is collected from academic institutes and information-oriented government agencies in Thailand. In other words, the data in the TNRR system is accumulated from 3 national databases including 1. National Research Innovation and Information System (NRIIS), 2. Research agencies within Thailand’s research and innovation ecosystem that have agreed to share their data; including research projects, research results, bodies of knowledge, theses, as well as various inventions and innovations; and 3. Other related databases of agencies that have shared their data for audit purposes and to improve the operation of the central database, such as the Department of Provincial Administration, the Department of Intellectual Property, and the Department of Business Development, etc. Thai National Research Repository (TNRR) also provides open data of research findings via API which can be accessed at https://tnrr.nriis.go.th/#/service/opendata and https://opendata.nrct.go.th/en/
Country
MIDAS is a national research data repository. The aim of MIDAS is to collect, process, store and analyse research data and other relevant information in all fields of knowledge, enabling free, easy and convenient access to the data via the Internet. MIDAS provides services for registered and unregistered users: students, listeners, academics, researchers, scientists, research administrators, other actors of the research and studies ecosystem, and all individuals interested in research data. MIDAS consists of the MIDAS portal and MIDAS user account. The MIDAS portal is a public space accessible to anyone interested in discovering and viewing published research Data and their metadata, whereas MIDAS user account is available to registered users only. MIDAS is managed by Vilnius University.
The repository is part of the National Research Data Infrastructure initiative Text+, in which the University of Tübingen is a partner. It is housed at the Department of General and Computational Linguistics. The infrastructure is maintained in close cooperation with the Digital Humanities Centre, which is a core facility of the university, colaborating with the library and computing center of the university. Integration of the repository into the national CLARIN-D and international CLARIN infrastructures gives it wide exposure, increasing the likelihood that the resources will be used and further developed beyond the lifetime of the projects in which they were developed. Among the resources currently available in the Tübingen Center Repository, researchers can find widely used treebanks of German (e.g. TüBa-D/Z), the German wordnet (GermaNet), the first manually annotated digital treebank (Index Thomisticus), as well as descriptions of the tools used by the WebLicht ecosystem for natural language processing.
The Online Data Portal (ODP) is an evolving project to support collaborative river restoration projects, such as the TRRP. The goal is to provide a centralized clearing house of documents and data for program partners, stakeholders, and the public. The functionality and data holdings will continue to be expanded over the next few years. The ability to store Data Packages is new as of Fall 2011 and holdings should expand substantially in the months afterward. A project to scan many older documents also began in December 2011. Simple time-series datasets have long been stored in the ODP, but holdings of these data are likely to increase as TRRP implements an upcoming Data Management and Utility Plan. Major upgrades to the Interactive Map are expected to start in winter and spring of 2012. The long term vision is that many data resources will be accessible both by text searches and via the Interactive Map. The ODP will be available for use by other river restoration programs. ODP is followed by TRRP DataPort.