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Found 76 result(s)
ScienceBase provides access to aggregated information derived from many data and information domains, including feeds from existing data systems, metadata catalogs, and scientists contributing new and original content. ScienceBase architecture is designed to help science teams and data practitioners centralize their data and information resources to create a foundation needed for their work. ScienceBase, both original software and engineered components, is released as an open source project to promote involvement from the larger scientific programming community both inside and outside the USGS.
KDP has replaced the KNMI Data Centre (KDC), which was turned off on the 27th of July 2020. Not only a change of name, but also a transition to new technologies. Initially, the KDP will be more primitive than KDC. To fulfill future ambitions, a digital KNMI transformation has been initiated. Part of this transition is the development of a new KDP as a successor of the KDC. All data on the KNMI Data Platform is free to use. For some datasets a service agreement is available, which is indicated on the page of the dataset. The KNMI Data platform provides access to KNMI data on weather, climate and seismology. Here you will find KNMI data on various subjects such as the most recent 10-minute observations, historical series, data about meteorological measuring stations, model calculations, earthquake data and satellite products. In addition to KNMI datasets, we also make datasets from other parties available, such as ECMWF, ECOMET, EUMETSAT and WMO.
NKN is now Research Computing and Data Services (RCDS)! We provide data management support for UI researchers and their regional, national, and international collaborators. This support keeps researchers at the cutting-edge of science and increases our institution's competitiveness for external research grants. Quality data and metadata developed in research projects and curated by RCDS (formerly NKN) is a valuable, long-term asset upon which to develop and build new research and science.
The datacommons@psu was developed in 2005 to provide a resource for data sharing, discovery, and archiving for the Penn State research and teaching community. Access to information is vital to the research, teaching, and outreach conducted at Penn State. The datacommons@psu serves as a data discovery tool, a data archive for research data created by PSU for projects funded by agencies like the National Science Foundation, as well as a portal to data, applications, and resources throughout the university. The datacommons@psu facilitates interdisciplinary cooperation and collaboration by connecting people and resources and by: Acquiring, storing, documenting, and providing discovery tools for Penn State based research data, final reports, instruments, models and applications. Highlighting existing resources developed or housed by Penn State. Supporting access to project/program partners via collaborative map or web services. Providing metadata development citation information, Digital Object Identifiers (DOIs) and links to related publications and project websites. Members of the Penn State research community and their affiliates can easily share and house their data through the datacommons@psu. The datacommons@psu will also develop metadata for your data and provide information to support your NSF, NIH, or other agency data management plan.
The Australian National University undertake work to collect and publish metadata about research data held by ANU, and in the case of four discipline areas, Earth Sciences, Astronomy, Phenomics and Digital Humanities to develop pipelines and tools to enable the publication of research data using a common and repeatable approach. Aims and outcomes: To identify and describe research data held at ANU, to develop a consistent approach to the publication of metadata on the University's data holdings: Identification and curation of significant orphan data sets that might otherwise be lost or inadvertently destroyed, to develop a culture of data data sharing and data re-use.
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The INGV Data Registry collects the metadata describing the Research Data that are the result of the scientific production of INGV and/or managed and/or published by INGV, regardless of whether these data are static or dynamic, and regardless of the procedures followed for their creation. The Data Registry is publicly accessible through INGV’s institutional Web portal https://data.ingv.it/, and use thereof aims at satisfying needs within INGV, but also the needs of outside users.
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The BAW is a research institute for the Federal Ministry of Transport and acts as an advisor to the federal government for issues of waterway engineering. In this role the BAW consumes and produces large volumes of data and information. As part of the implementation of Open Data legislation and in support of Open Data and Open Access principles, the BAW provides access to scientific data together with their metadata. The BAW-Datenrepository was developed as a point of access for hydraulic engineering experts, contractors and customers of the BAW as well as the general public. It is a source for quality-assured information and provides standardised, long-term access to waterway engineering data. The BAW-Datenrepository supports the targeted search for information and data and gives direct access to them. By publishing its scientific data, the BAW promotes transparency in public discourse as well as accountability of public administration enabling the data to create value beyond the BAW.
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Repository of the Faculty of Science is institutional repository that gathers, permanently stores and allows access to the results of scientific and intellectual property of the Faculty of Science, University of Zagreb. The objects that can be stored in the repository are research data, scientific articles, conference papers, theses, dissertations, books, teaching materials, images, video and audio files, and presentations. To improve searchability, all materials are described with predetermined set of metadata.
GRID-Geneva is a unique platform providing analyses and solutions for a wide range of environmental issues. GRID-Geneva serves primarily the needs of its three institutional partners - UNEP, the Swiss Federal Office for the Environment (FOEN) and the University of Geneva (UniGe) - which are linked by an ongoing, multi-year “Partnership Agreement”, along with other local-to-global stakeholders. GRID-Geneva is also a bilingual English and French centre and the key francophone link within the global GRID network of centres. GRID-Geneva is a key centre of geo-spatial know-how, with strengths in GIS, IP/remote sensing and statistical analyses, integrated through modern spatial data infrastructures and web applications. Working at the interface between scientific information and policy/decision-making, GRID-Geneva also helps to develop capacities in these fields of expertise among target audiences, countries and other groups.
The CCKP contains environmental, disaster risk, and socio-economic datasets, as well as synthesis products, such as the Climate Adaptation Country Profiles, which are built and packaged for specific user-focused functions such as climate change indices for a particular country. The portal also provides intelligent links to other resources and tools.
Earthdata powered by EOSDIS (Earth Observing System Data and Information System) is a key core capability in NASA’s Earth Science Data Systems Program. It provides end-to-end capabilities for managing NASA’s Earth science data from various sources – satellites, aircraft, field measurements, and various other programs. EOSDIS uses the metadata and service discovery tool Earthdata Search https://search.earthdata.nasa.gov/search. The capabilities of EOSDIS constituting the EOSDIS Science Operations are managed by NASA's Earth Science Data and Information System (ESDIS) Project. The capabilities include: generation of higher level (Level 1-4) science data products for several satellite missions; archiving and distribution of data products from Earth observation satellite missions, as well as aircraft and field measurement campaigns. The EOSDIS science operations are performed within a distributed system of many interconnected nodes - Science Investigator-led Processing Systems (SIPS), and distributed, discipline-specific, Earth science Distributed Active Archive Centers (DAACs) with specific responsibilities for production, archiving, and distribution of Earth science data products. The DAACs serve a large and diverse user community by providing capabilities to search and access science data products and specialized services.
ETH Data Archive is ETH Zurich's long-term preservation solution for digital information such as research data, digitised content, archival records, 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. An automated connection to the ETH Data Archive in the background ensures the medium to long-term preservation of all publications and research data. Direct access to the ETH Data Archive is intended only for customers who need to deposit software source code within the framework of ETH transfer Software Registration. Open Source code packages and other content from legacy workflows can be accessed via ETH Library @ swisscovery (https://library.ethz.ch/en/).
The GSA Data Repository is an open file in which authors of articles in our journals can place information that supplements and expands on their article. These supplements will not appear in print but may be obtained from GSA.
Presented is information on changes in weather and climate extremes, as well as the daily dataset needed to monitor and analyse these extremes. map of participating countries. Today, ECA&D is receiving data from 59 participants for 62 countries and the ECA dataset contains 33265 series of observations for 12 elements at 7512 meteorological stations throughout Europe and the Mediterranean (see Daily data > Data dictionary). 51% of these series is public, which means downloadable from this website for non-commercial research. Participation to ECA&D is open to anyone maintaining daily station data
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The National Air Pollution Surveillance (NAPS) Program provides accurate and long-term air quality data of a uniform standard across Canada. The NAPS Network has a Canada-Wide database of criteria air contaminants from the early 1970s to the present for designated NAPS sites, as well as provincial, territorial and other sites. Trace contaminants are also monitored at several stations in the network and analyzed by the laboratory at River Road.
USGS data and tools are the digital information in a format suitable for direct input to software that can analyze its meaning in the scientific, engineering, or business context for which the data were collected.
Repository for New Mexico Experimental Program to Stimulate Competitive Research Data Collection. Provides access to data generated by the Energize New Mexico project as well as data gathered in our previous project that focused on Climate Change Impacts (RII 3). NM EPSCoR contributes its data to the DataONE network as a member node: https://search.dataone.org/#profile/NMEPSCOR
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DAIS - Digital Archive of the Serbian Academy of Sciences and Arts is a joint digital repository of the Serbian Academy of Sciences and Arts (SASA) and the research institutes under the auspices of SASA. The aim of the repository is to provide open access to publications and other research outputs resulting from the projects implemented by the SASA and its institutes. The repository uses a DSpace-based software platform developed and maintained by the Belgrade University Computer Centre (RCUB).