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Found 22 result(s)
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CCCma has developed a number of climate models. These are used to study climate change and variability, and to understand the various processes which govern the climate system. They are also used to make quantitative projections of future long-term climate change (given various greenhouse gas and aerosol forcing scenarios), and increasingly to make initialized climate predictions on time scales ranging from seasons to decades. A brief description of these models and their corresponding references can be found: https://www.canada.ca/en/environment-climate-change/services/climate-change/science-research-data/modeling-projections-analysis/centre-modelling-analysis/models.html
Open access to macromolecular X-ray diffraction and MicroED datasets. The repository complements the Worldwide Protein Data Bank. SBDG also hosts reference collection of biomedical datasets contributed by members of SBGrid, Harvard and pilot communities.
The goal of NGEE–Arctic is to reduce uncertainty in projections of future climate by developing and validating a model representation of permafrost ecosystems and incorporating that representation into Earth system models. The new modeling capabilities will improve our confidence in model projections and will enable scientist to better respond to questions about processes and interactions now and in the future. It also will allow them to better communicate important results concerning climate change to decision makers and the general public. And let's not forget about summer in the Antarctic, which happens during our winter months.
<<<!!!<<< The demand for high-value environmental data and information has dramatically increased in recent years. To improve our ability to meet that demand, NOAA’s former three data centers—the National Climatic Data Center, the National Geophysical Data Center, and the National Oceanographic Data Center, which includes the National Coastal Data Development Center—have merged into the National Centers for Environmental Information (NCEI). >>>!!!>>> The NOAA National Centers for Environmental Information (formerly the National Geophysical Data Center) provide scientific stewardship, products and services for sea floor and lakebed data, including geophysics (gravity, magnetics, seismic reflection, bathymetry, water column sonar), and data derived from sediment and rock samples. NCEI compiles coastal and global digital elevation models, high-resolution models for tsunami inundation studies, provides stewardship for NOS data supporting charts and navigation, and is the US national long-term archive for MGG data
Surface air temperature change is a primary measure of global climate change. The GISTEMP project started in the late 1970s to provide an estimate of the changing global surface air temperature which could be compared with the estimates obtained from climate models simulating the effect of changes in atmospheric carbon dioxide, volcanic aerosols, and solar irradiance. The continuing analysis updates global temperature change from the late 1800s to the present.
The Open Energy Information (OpenEI.org) initiative is a free, open source knowledge-sharing platform created to facilitate access to data, models, tools, and information that accelerate the transition to clean energy systems through informed decisions. Sponsored by the Department of Energy, and developed by the National Renewable Energy Lab, in support of the Open Government Initiative, OpenEI strives to make energy-related data and information searchable, accessible, and useful to both people and machines
>>>!!!<<<The repository is offline >>>!!!<<< The Space Physics Interactive Data Resource from NOAA's National Geophysical Data Center allows solar terrestrial physics customers to intelligently access and manage historical space physics data for integration with environment models and space weather forecasts.
The NCAR is a federally funded research and development center committed to research and education in atmospheric science and related scientific fields. NCAR seeks to support and enhance the scientific community nationally and globally by monitoring and researching the atmosphere and related physical and biological systems. Users can access climate and earth models created to better understand the atmosphere, the Earth and the Sun; as well as data from various NCAR research programs and projects. NCAR is sponsored by the National Science Foundation in addition to various other U.S. agencies.
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TIB’s core task is to provide science and industry with both elementary and highly technical specialist and researchinformation. TIB has globally unique collections in the subject areas of science and technology, as well as architecture,chemistry, computer science, mathematics and physics. Besides textual materials, the library’s collections also includeknowledge objects such as research data, 3D models and audiovisual media. The TIB has assumed responsibility for the long-term preservation and availability of the digital materials it collects and documents, as well as their interpretability for use by different target groups. To this end, it has created the necessary infrastructure and guarantees the permanent provision of both material and human resources. Search for research data search at: https://www.tib.eu/en/search-discover/research-data
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PARADISEC (the Pacific And Regional Archive for Digital Sources in Endangered Cultures) offers a facility for digital conservation and access to endangered materials from all over the world. Our research group has developed models to ensure that the archive can provide access to interested communities, and conforms with emerging international standards for digital archiving. We have established a framework for accessioning, cataloguing and digitising audio, text and visual material, and preserving digital copies. The primary focus of this initial stage is safe preservation of material that would otherwise be lost, especially field tapes from the 1950s and 1960s.
This website makes data available from the first round of data sharing projects that were supported by the CRCNS funding program. To enable concerted efforts in understanding the brain experimental data and other resources such as stimuli and analysis tools should be widely shared by researchers all over the world. To serve this purpose, this website provides a marketplace and discussion forum for sharing tools and data in neuroscience. To date we host experimental data sets of high quality that will be valuable for testing computational models of the brain and new analysis methods. The data include physiological recordings from sensory and memory systems, as well as eye movement data.
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The AMUReD Institutional Research Data Repository of the Adam Mickiewicz University in Poznan (UAM) collects and provides access to digital versions of research data collected, processed or produced as part of the scientific research or developmental work of UAM employees.The AMUReD Repository is part of the AMU Research Portal, with University Library in Poznan as the operating unit. Depositing data is possible after logging into the AMU Research Portal, according to the attached instructions. The AMUReD repository is open, and research data are made available in three models: open (Open Access), embargo (Embargo) and closed (Restricted Access). The detailed rules of the AMUReD repository are defined in the Regulations. The AMUReD repository complies with the FAIR Principles. Each dataset is given a unique DOI identifier. The AMUReD repository complies with the FAIR Principles. Each dataset is given a unique DOI identifier. The prefix for DOIs is doi:10.60629. It is possible to choose a Creative Commons license for shared datasets.
CLARIN.SI is the Slovenian node of the European CLARIN (Common Language Resources and Technology Infrastructure) Centers. The CLARIN.SI repository is hosted at the Jožef Stefan Institute and offers long-term preservation of deposited linguistic resources, along with their descriptive metadata. The integration of the repository with the CLARIN infrastructure gives the deposited resources wide exposure, so that they can be known, used and further developed beyond the lifetime of the projects in which they were produced. Among the resources currently available in the CLARIN.SI repository are the multilingual MULTEXT-East resources, the CC version of Slovenian reference corpus Gigafida, the morphological lexicon Sloleks, the IMP corpora and lexicons of historical Slovenian, as well as many other resources for a variety of languages. Furthermore, several REST-based web services are provided for different corpus-linguistic and NLP tasks.
When published in 2005, the Millennium Run was the largest ever simulation of the formation of structure within the ΛCDM cosmology. It uses 10(10) particles to follow the dark matter distribution in a cubic region 500h(−1)Mpc on a side, and has a spatial resolution of 5h−1kpc. Application of simplified modelling techniques to the stored output of this calculation allows the formation and evolution of the ~10(7) galaxies more luminous than the Small Magellanic Cloud to be simulated for a variety of assumptions about the detailed physics involved. As part of the activities of the German Astrophysical Virtual Observatory we have created relational databases to store the detailed assembly histories both of all the haloes and subhaloes resolved by the simulation, and of all the galaxies that form within these structures for two independent models of the galaxy formation physics. We have implemented a Structured Query Language (SQL) server on these databases. This allows easy access to many properties of the galaxies and halos, as well as to the spatial and temporal relations between them. Information is output in table format compatible with standard Virtual Observatory tools. With this announcement (from 1/8/2006) we are making these structures fully accessible to all users. Interested scientists can learn SQL and test queries on a small, openly accessible version of the Millennium Run (with volume 1/512 that of the full simulation). They can then request accounts to run similar queries on the databases for the full simulations. In 2008 and 2012 the simulations were repeated.
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BLLAST is a research programme aimed at exploring the late afternoon transition of the atmospheric boundary layer. The late afternoon period of the diurnal cycle of the boundary layer is poorly understood. This is yet an important transition period that impacts the transport and dillution of water vapour and trace species. The main questions adressed by the project are: - How the turbulence activity fades when heating by the surface decreases? - What is the impact on the transport of chemical species? - How relevant processes can be represented in numerical models? To answer all these questions, a field campaign was carried out during the summer of 2011 (from June 14 to July 8). Many observation systems were then deployed and operated by research teams coming from France and abroad. They were spanning a large spectrum of space and time scales in order to achieve a comprehensive description of the boundary layer processes. The observation strategy consisted in intensifying the operations in the late afternoon with tethered balloons, resarch aircrafts and UAVs.
Polish CLARIN node – CLARIN-PL Language Technology Centre – is being built at Wrocław University of Technology. The LTC is addressed to scholars in the humanities and social sciences. Registered users are granted free access to digital language resources and advanced tools to explore them. They can also archive and share their own language data (in written, spoken, video or multimodal form).
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.