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Found 68 result(s)
The CancerData site is an effort of the Medical Informatics and Knowledge Engineering team (MIKE for short) of Maastro Clinic, Maastricht, The Netherlands. Our activities in the field of medical image analysis and data modelling are visible in a number of projects we are running. CancerData is offering several datasets. They are grouped in collections and can be public or private. You can search for public datasets in the NBIA (National Biomedical Imaging Archive) image archives without logging in.
The Data and Service Center for the Humanities (DaSCH) is an institution of the Swiss Academy of Humanities and Social Sciences (SAHSS) financed by the State Secretariat for Eduction, Research and Innovation (SERI). The primary goals of the DaSCH are - Preservation of research data in the humanities and their long-term data curation. - Ensuring permanent access to research data in order to make it available for further research and thus facilitating the reuse of existing research data in future research. - Providing services for researchers to assist them with the data management plan. - Encouraging the digital networking of databases created in Switzerland or in other countries. - Collaboration and networking with other institutions on digital literacy. The services of the DaSCH are available to all researchers and projects in Switzerland which work in the the domain of the Humanities and have to deal with digital information as well to other research institutions in Switzerland.
>>>>!!!<<< As stated 2017-06-27 The website is no longer available; repository software is archived on github >>>!!!<<< The ResearchCompendia platform is an attempt to use the web to enhance the reproducibility and verifiability—and thus the reliability—of scientific research. we provide the tools to publish the "actual scholarship" by hosting data, code, and methods in a form that is accessible, trackable, and persistent. Some of our short term goals include: To expand and enhance the platform including adding executability for a greater variety of coding languages and frameworks, and enhancing output presentation. To expand usership and to test the ResearchCompendia model in a number of additional fields, including computational mathematics, statistics, and biostatistics. To pilot integration with existing scholarly platforms, enabling researchers to discover relevant Research Compendia websites when looking at online articles, code repositories, or data archives.
4TU.ResearchData, previously known as 3TU.Datacentrum, is an archive for research data. It offers the knowledge, experience and the tools to share and safely store scientific research data in a standardized, secure and well-documented manner. 4TU.Centre for Research Data provides the research community with: Advice and support on data management; A long-term archive for scientific research data; Support for current research projects; Tools for reusing research data.
ScholarSphere is a secure repository service enabling the Penn State community to share its research and scholarly work with a worldwide audience. Faculty, staff, and students can use ScholarSphere to collect their work in one location and create a durable and citeable record of their papers, presentations, publications, data sets, or other scholarly creations. Through this service, Penn State researchers can also comply with grant-funding-agency requirements for sharing and managing research data.
The project analyzes educational processes in Germany from early childhood to late adulthood. The National Educational Panel Study (NEPS) has been set up to find out more about the acquisition of education in Germany, to plot the consequences of education for individual biographies, and to describe central educational processes and trajectories across the entire life span. Such an interdisciplinary consortium of research institutes, researcher groups, and research. personalities has been assembled in Bamberg. In addition, the competencies and experiences with longitudinal research available at numerous other locations have been networked to form a cluster of excellence.
Online storage, sharing and registration of research data, during the research period and up to the prescribed term of ten years after its completion. DataverseNL is a shared service provided by participating institutions and DANS.
RDP provides quality-controlled, aligned and annotated Bacterial and Archaeal 16S rRNA sequences, and Fungal 28S rRNA sequences, and a suite of analysis tools to the scientific community.
The CCHDO's primary mission is to deliver the highest possible quality global CTD and hydrographic data to users. These data are a product of decades of observations related to the physical characteristics of ocean waters carried out during GO-SHIP, WOCE, CLIVAR and numerous other oceanographic research programs. Whenever possible we provide these data in three easy-to-use formats: WHP-Exchange (which we recommend for data submissions to the CCHDO), WOCE, and netCDF. The CCHDO also manages public and non-public CTD data to be used for the global Argo and OceanSITES programs.
The BGS is a data-rich organisation with over 400 datasets in its care; including environmental monitoring data, digital databases, physical collections (borehole core, rocks, minerals and fossils), records and archives. Our data is managed by the National Geoscience Data Centre.
ISG' activities are on educational, research, and data distribution sides: principal purposes of ISG are the collection and distribution of geoid models, the collection and distribution of software for geoid computation, and the organization of technical schools on geoid determinations. ISG collects and disseminates worldwide local and regional geoid models estimated by geodetic Institutions and researchers of many countries. More than 30 countries are represented, listed in alphabetic order or localized on a map
The HSRC Research Data Service provides a digital repository facility for the HSRC's research data in support of evidence based human and social development in South Africa and the broader region. It includes both quantitative and qualitative data. Access to data is dependent on ethical requirements for protecting research participants, as well as on legal agreements with the owners, funders or in the case of data owned by the HSRC, the requirements of the depositors of the data.
<<!! checked 20.03.2017 SumsDB was offline; for more information see!! >> SumsDB (the Surface Management System DataBase) is a repository of brain-mapping data (surfaces & volumes; structural & functional data) from many laboratories.
The Health and Retirement Study (HRS) is a longitudinal panel study that surveys a representative sample of more than 26,000 Americans over the age of 50 every two years. The study has collected information about income, work, assets, pension plans, health insurance, disability, physical health and functioning, cognitive functioning, genetic information and health care expenditures.
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.
A data repository and social network so that researchers can interact and collaborate, also offers tutorials and datasets for data science learning. " is designed for data and the people who work with data. From professional projects to open data, helps you host and share your data, collaborate with your team, and capture context and conclusions as you work."
>>>>!!!<<<<As of March 28, 2016, the 'NSF Arctic Data Center' will serve as the current repository for NSF-funded Arctic data. The ACADIS Gateway is no longer accepting data submissions. All data and metadata in the ACADIS system have been transferred to the NSF Arctic Data Center system. There is no need for you to resubmit existing data. >>>>!!!<<<< ACADIS is a repository for Arctic research data to provide data archival, preservation and access for all projects funded by NSF's Arctic Science Program (ARC). Data include long-term observational timeseries, local, regional, and system-scale research from many diverse domains. The Advanced Cooperative Arctic Data and Information Service (ACADIS) program includes data management services.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, documents or images. It serves as the backbone of data curation and for most of its content, it is a “dark archive” without public access. In this capacity, the ETH Data Archive also archives the content of ETH Zurich’s Research Collection which is the primary repository for members of the university and the first point of contact for publication of data at ETH Zurich. All data that was produced in the context of research at the ETH Zurich, can be published and archived in the Research Collection. In the following cases, a direct data upload into the ETH Data Archive though, has to be considered: - Upload and registration of software code according to ETH transfer’s requirements for Software Disclosure. - A substantial number of files, have to be regularly submitted for long-term archiving and/or publishing and browser-based upload is not an option: the ETH Data Archive may offer automated data and metadata transfers from source applications (e.g. from a LIMS) via API. - Files for a project on a local computer have to be collected and metadata has to be added before uploading the data to the ETH Data Archive: -- we provide you with the local file editor docuteam packer. Docuteam packer allows to structure, describe, and organise data for an upload into the ETH Data Archive and the depositor decides when submission is due.
ScholarBank@NUS is the university's Institutional Repository (IR). Its goals are to collect, preserve and showcase the research output including research data of NUS researchers and departments.
This interface provides access to several types of data related to the Chesapeake Bay. Bay Program databases can be queried based upon user-defined inputs such as geographic region and date range. Each query results in a downloadable, tab- or comma-delimited text file that can be imported to any program (e.g., SAS, Excel, Access) for further analysis. Comments regarding the interface are encouraged. Questions in reference to the data should be addressed to the contact provided on subsequent pages.
The Brown Digital Repository (BDR) is a place to gather, index, store, preserve, and make available digital assets produced via the scholarly, instructional, research, and administrative activities at Brown.
The Research Data Center (RDC) “International Survey Programs“ provides researchers with data, services, and consultation on a number of important international study series which are under intensive curation by GESIS. They all cover numerous countries and, quite often, substantial time spans. The RDC provides optimal data preparation and access to a wide scope of data and topics for comparative analysis.
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.