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Found 76 result(s)
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Three parts of a database provide published and unpublished chemical analysis results of archaeological ceramics. These are the results of forty years of applying WD-XRF and other mineralogical and physical laboratory methods to the analysis of sherds from excavations and museums. Drawing on some 30,000 analyses from research projects in Europe, Turkey, the near East, and Sudan, the part published here covers the results of three long-term projects: Early pottery in Thessaly, Greece (1,305 records), Firmalampen and other Roman lamps (1,666 records), and Roman and other pottery produced in Central Europe (4,043 records). This collated information provides an opportunity to work directly on published and unpublished data. These can be used as chemical reference groups for comparison for fine ware classification and in provenance studies.
Water DAMS (Water Data Analysis and Management System) provides access to foundational water treatment technology data that enable researchers and decision-makers to identify and quantify opportunities for technology innovations to reduce the cost and energy intensity of desalination. It is the submission point for all data generated by research conducted by the National Alliance for Water Innovation (NAWI) and is designed to be used by the broader water research community. With publicly accessible contributions from a variety of academic and industrial partners, Water DAMS seeks to enable data discoverability, improve accessibility, and accelerate collaboration that contributes to pipe parity and innovation in water treatment technologies.
Sharing and preserving data are central to protecting the integrity of science. DataHub, a Research Computing endeavor, provides tools and services to meet scientific data challenges at Pacific Northwest National Laboratory (PNNL). DataHub helps researchers address the full data life cycle for their institutional projects and provides a path to creating findable, accessible, interoperable, and reusable (FAIR) data products. Although open science data is a crucial focus of DataHub’s core services, we are interested in working with evidence-based data throughout the PNNL research community.
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MDR is a data repository to collect and store papers, presentation materials, and related materials data to accumulate and release them in a form suitable for the promotion of materials research and materials informatics. Users can search the documents and the data from information (metadata) such as sample, instrument, method, and from the full text of the deposited data, to browse and download them freely. User registration is not required and there is no charge for use.
The Perovskite Database Project aims at making all perovskite device data, both past and future, available in a form adherent to the FAIR data principles, i.e. findable, accessible, interoperable, and reusable.
<<<!!!<<< CRAWDAD has moved to IEEE-Dataport https://www.re3data.org/repository/r3d100012569 The datasets in the Community Resource for Archiving Wireless Data at Dartmouth (CRAWDAD) repository are now hosted as the CRAWDAD Collection on IEEE Dataport. After nearly two decades as a stand-alone archive at crawdad.org, the migration of the collection to IEEE DataPort provides permanence and new visibility. >>>!!!>>>
The DOE Data Explorer (DDE) is an information tool to help you locate DOE's collections of data and non-text information and, at the same time, retrieve individual datasets within some of those collections. It includes collection citations prepared by the Office of Scientific and Technical Information, as well as citations for individual datasets submitted from DOE Data Centers and other organizations.
nanoHUB.org is the premier place for computational nanotechnology research, education, and collaboration. Our site hosts a rapidly growing collection of Simulation Programs for nanoscale phenomena that run in the cloud and are accessible through a web browser. In addition to simulation devices, nanoHUB provides Online Presentations, Courses, Learning Modules, Podcasts, Animations, Teaching Materials, and more. These resources help users learn about our simulation programs and about nanotechnology in general. Our site offers researchers a venue to explore, collaborate, and publish content, as well. Much of these collaborative efforts occur via Workspaces and User groups.
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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.
Open Power System Data is a free-of-charge data platform dedicated to electricity system researchers. We collect, check, process, document, and publish data that are publicly available but currently inconvenient to use. The project is a service provider to the modeling community: a supplier of a public good. Learn more about its background or just go ahead and explore the data platform.
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The NOMAD Repository and Archive stands for open access of scientific materials data. It enables the confirmatory analysis of materials data, their reuse, and repurposing. All data is available in their raw format as produced by the underlying code (Repository) and in a common, machine-processable, and well-defined data format (Archive).
The Information Marketplace for Policy and Analysis of Cyber-risk & Trust (IMPACT) program supports global cyber risk research & development by coordinating, enhancing and developing real world data, analytics and information sharing capabilities, tools, models, and methodologies. In order to accelerate solutions around cyber risk issues and infrastructure security, IMPACT makes these data sharing components broadly available as national and international resources to support the three-way partnership among cyber security researchers, technology developers and policymakers in academia, industry and the government.
OEDI is a centralized repository of high-value energy research datasets aggregated from the U.S. Department of Energy’s Programs, Offices, and National Laboratories. Built to enable data discoverability, OEDI facilitates access to a broad network of findings, including the data available in technology-specific catalogs like the Geothermal Data Repository and Marine Hydrokinetic Data Repository.
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Since January 2012, two previously independent resources called "ViFaArt – Virtual Library for Contemporary Art" and "arthistoricum.net – Virtual Library for Art History" have been joint together, forming a new service called arthistoricum.net. This unique union makes it now possible to research the whole subject spectrum belonging to Art History. The special interest collection of Art History focuses on Medieval and Early European Art History, including art influenced by Europe in the USA, Canada and Australia, continuing chronologically from the Early Christian era until 1945. The special interest collection of Contemporary Art continues the art historical subject spectrum to include European and North American Art History from 1945. arthistoricum.net contains text and image resources as well as comprehensive, academically relevant information dealing with all media from the Middle Ages up to the present. arthistoricum.net pools the resources and know-how of the responsible partner institutions, thus making this portal an essential forum for research and teaching.
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Welcome to the National Yang Ming Chiao Tung University Dataverse research data knowledge management website, where you can learn how to obtain, upload, cite and explore research data in the National Yang Ming Chiao Tung University Dataverse.
4TU.ResearchData, previously known as 4TU.Centre for Research Data, is a research data repository dedicated to the science, engineering and design disciplines. It offers the knowledge, experience and the tools to manage, publish and find scientific research data in a standardized, secure and well-documented manner. 4TU.ResearchData provides the research community with: Customised advice and support on research data management; A long-term repository for scientific research data; Support for current research projects; Tools to enhance reuse of research data.
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In the Hellenistic and Roman period, many buildings and material objects were constructed using structural geometrical specifications. Ancient sundials were built using basic geometrical forms of very few construction types taking also into account the astronomical dimensions. In architectural drawings, comparable proportions can be found. The tower of the winds merges all these geometrical principles of construction. The construction drawings of this collection comprise geometrical drafts used for the construction of buildings. They differ from simple geometrical forms in that they present the general layout of the lines indicating objects and geometrical areas. Their geometrical dimensions are constructed according to the principles of proportional relations and were implemented in – sometimes very complex – work processes in which artefacts of the original objects were constructed. Construction drawings from the pillars of Didyma, which were discovered by Lothar Haselberger, serve as a paradigmatic model for these architectural drawings.
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The Leibniz Data Manager (LDM) is a scientific repository for research data from the fields of science and technology. The service supports a better re-usability of research data for scientific projects. The LDM fosters the management and access to heterogeneous research data publications and assists researchers in the selection of relevant data sets for their respective disciplines. The LDM currently offers the following functions for the visualization of research data: · Supports data collections and publications with different formats. · Different views on the same data set (2D and 3D support). · Visualization of Auto CAD files. · Jupyter Notes for demonstrating live code. · RDF Description of data collections.
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DataverseNO (https://dataverse.no) is a curated, FAIR-aligned national generic repository for open research data from all academic disciplines. DataverseNO commits to facilitate that published data remain accessible and (re)usable in a long-term perspective. The repository is owned and operated by UiT The Arctic University of Norway. DataverseNO accepts submissions from researchers primarily from Norwegian research institutions. Datasets in DataverseNO are grouped into institutional collections as well as special collections. The technical infrastructure of the repository is based on the open source application Dataverse (https://dataverse.org), which is developed by an international developer and user community led by Harvard University.
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MatDB is a database application for experimentally measured engineering materials data. It supports open, registered, and restricted access. It presently hosts more than 20.000 unique data sets coming mainly from European and Member State research programmes. It supports web interfaces for entering, browsing, and retrieving data. MatDB is also enabled for innovative services, including data citation and interoperability standards. The data citation service relies on DataCite DOIs. The historic data sets are being enabled for citation. For all new projects where MatDB is used for managing project data, end-users are encouraged to request DataCite DOIs. There is though no obligation as regards the access level as it is considered sufficient simply that the data sets are made discoverable through data citation. The service that relies on interoperability standards leverages the outputs from a series of CEN Workshops that aim to deliver Standards-compliant data formats for engineering materials data. In this context, MatDB is used to validate and demonstrate said formats with a view to promoting their adoption. MatDB is part of the ODIN Portal https://odin.jrc.ec.europa.eu/alcor/