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Found 39 result(s)
The information accumulated in the SPECTR-W3 ADB contains over 450,000 records and includes factual experimental and theoretical data on ionization potentials, energy levels, wavelengths, radiation transition probabilities, oscillator strengths, and (optionally) the parameters of analytical approximations of electron-collisional cross-sections and rates for atoms and ions. Those data were extracted from publications in physical journals, proceedings of the related conferences, special-purpose publications on atomic data, and provided directly by authors. The information is supplied with references to the original sources and comments, elucidating the details of experimental measurements or calculations, where necessary and available. To date, the SPECTR-W3 ADB is the largest factual database in the world containing the information on spectral properties of multicharged ions.
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QSAR DataBank (QsarDB) is repository for (Quantitative) Structure-Activity Relationships ((Q)SAR) data and models. It also provides open domain-specific digital data exchange standards and associated tools that enable research groups, project teams and institutions to share and represent predictive in silico models.
BindingDB is a public, web-accessible knowledgebase of measured binding affinities, focusing chiefly on the interactions of proteins considered to be candidate drug-targets with ligands that are small, drug-like molecules. BindingDB supports medicinal chemistry and drug discovery via literature awareness and development of structure-activity relations (SAR and QSAR); validation of computational chemistry and molecular modeling approaches such as docking, scoring and free energy methods; chemical biology and chemical genomics; and basic studies of the physical chemistry of molecular recognition. BindingDB also includes a small collection of host-guest binding data of interest to chemists studying supramolecular systems. The data collection derives from a variety of measurement techniques, including enzyme inhibition and kinetics, isothermal titration calorimetry, NMR, and radioligand and competition assays. BindingDB includes data extracted from the literature and from US Patents by the BindingDB project, selected PubChem confirmatory BioAssays, and ChEMBL entries for which a well defined protein target ("TARGET_TYPE='PROTEIN'") is provided.
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The National Cryosphere Desert Data Center (hereinafter referred to as NCDC) is supported by the Institute of environment and Engineering in the cold and dry areas of the Chinese Academy of Sciences, in cooperation with Xinjiang Institute of ecology and geography of the Chinese Academy of Sciences, Chengdu Institute of mountain land disaster and environment of the Ministry of water resources of the Chinese Academy of Sciences, Qinghai Salt Lake Research Institute of the Chinese Academy of Sciences and Qinghai Gao of the Chinese Academy of Sciences The Institute of protobiology and other units were jointly established. The supporting units of glacier permafrost desert data center have formed a scientific research and support system of seven research laboratories and three research systems, highlighting the research characteristics of glacier, permafrost, desert, atmosphere, water and soil, ecology, environment, resources, engineering and sustainable development in the dry areas of cold regions.
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The WURM project is a database of computed Raman and infrared spectra and other physical properties for minerals. The calculations are performed within the framework of the density-functional theory and the density-functional perturbation theory. The database is freely available for teaching and research purposes and is presented in a web-based format, hosted on the https://www.wurm.info/ web site. It provides the crystal structure, the parameters of the calculations, the dielectric properties, the Raman spectra with both peak positions and intensities and the infrared spectra with peak positions for minerals. It shows the atomic displacement patterns for all the zone-center vibrational modes and the associated Raman tensors. The web presentation is user friendly and highly oriented toward the end user, with a strong educational component in mind. A set of visualization tools ensures the observation of the crystal structure, the vibrational pattern, and the different spectra. Further developments include elastic and optical properties of minerals.
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VinaR is the digital repository of the Vinča Institute of Nuclear Sciences, University of Belgrade. VinaR provides open access to the publications, as well as to other outputs of the research projects implemented in these institutions. The software platform meets the current requirements that apply to the dissemination of scholarly publications and it is compatible with relevant international infrastructures.
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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).
Online materials database (known as PAULING FILE project) with nearly 2 million entries: physical properties, crystal structures, phase diagrams, available via API, ready for modern data-intensive applications. The source of these entries are about 0.5M peer-reviewed publications in materials science, processed during the last 30 years by an international team of PhD editors. The results are presented online with a quick search interface. The basic access is provided for free.
The Arabidopsis Information Resource (TAIR) maintains a database of genetic and molecular biology data for the model higher plant Arabidopsis thaliana . Data available from TAIR includes the complete genome sequence along with gene structure, gene product information, metabolism, gene expression, DNA and seed stocks, genome maps, genetic and physical markers, publications, and information about the Arabidopsis research community. Gene product function data is updated every two weeks from the latest published research literature and community data submissions. Gene structures are updated 1-2 times per year using computational and manual methods as well as community submissions of new and updated genes. TAIR also provides extensive linkouts from our data pages to other Arabidopsis resources.
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Hakai Data stores and shares research information associated with Hakai Institute. The Hakai Institute is a scientific research institution that advances long-term research at remote locations on the coastal margin of British Columbia, Canada. Hakai Data Systems: Data Catalogue, Sensor Network, Geospatial Data, Weather Stations and Webcams, ERDDAP Data Server
LinkedEarth is an EarthCube-funded project aiming to better organize and share Earth Science data, especially paleoclimate data. LinkedEarth facilitates the work of scientists by empowering them to curate their own data and to build new tools centered around those.
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The CSIRO National Collections and Marine Infrastructure (NCMI) Information and Data Centre has managed marine data for Australia's government research organisation for over 30 years. They have an enduring archive of marine and climate research data, and regularly publish data (including physical, chemical, bathymetric and biological data) collected on board RV Investigator as part of the Marine National Facility. Data from the MNF is freely and publicly available.
Global environmental (climate, vegetation, soils, land degradation, hydrology, land cover) layers representing the land mask. Hosted by the OpenGeoHub foundation OpenLandMap.org is a data portal to the world's environmental data representing land mask (land cover, vegetation, soil, climate, terrain data and similar). OpenLandMap.org is the web-mapping component of the LandGIS (Geographic Information System for land data).
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RODBUK Cracow Open Research Data Repository is co-created by six Cracow universities: AGH University of Science and Technology, University of Physical Education in Krakow, Cracow University of Technology, Krakow University of Economics, Jagiellonian University in Kraków, Pedagogical University of Krakow. The purpose of RODBUK is to collect, develop, archive and make available in open access all types of research data created by researchers, PhD candidates and students in the course of scientific activity. RODBUK aims to implement the Open Science policy by creating a publicly available platform for depositing research datasets enabling: getting acquainted with the research conducted in Cracow's scientific centers, storage of various types of research data obtaining a permanent Digital Object Identifier (DOI) for each dataset, standardized data citation, choosing a data usage license agreement (Creative Commons or other. RODBUK allows to collect and share open research data from various disciplines and in all file formats. RODBUK applies the FAIR Principles, which means the data is findable, accessible, interoperable, reusable.
OSGeo's mission is to support the collaborative development of open source geospatial software, in part by providing resources for projects and promoting freely available geodata. The Public Geodata Repository is a distributed repository and registry of data sources free to access, reuse, and re-distribute.
The ColabFit Exchange is an online resource for the discovery, exploration and submission of datasets for data-driven interatomic potential (DDIP) development for materials science and chemistry applications. ColabFit's goal is to increase the Findability, Accessibility, Interoperability, and Reusability (FAIR) of DDIP data by providing convenient access to well-curated and standardized first-principles and experimental datasets. Content on the ColabFit Exchange is open source and freely available.
CSDMS is a virtual home for a vibrant and growing community of about 1,000 international modeling experts and students who study the dynamic interactions of lithosphere, hydrosphere, cryosphere, and atmosphere at Earth’s surface. Participating in cross-disciplinary groups, members develop integrated software modules that predict the movement of water, sediment, and nutrients across landscapes and into the ocean. We share an open library of models, software, and access to high-performance computing. We also share knowledge that helps create higher-resolution simulations, often involving higher complexity algorithms. Together, we support the discovery, use, and conservation of natural resources; mitigation of natural hazards; geotechnical support of commercial and infrastructure development; environmental stewardship; and terrestrial surveillance for global security.
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Data are the key to successful scientific work. A sophisticated data management will guarantee the long-term availability of observational data and metadata, and will allow for an easy data search and retrieval, to supplement the international data exchange and to provide data products for scientific, political, industrial and public stakeholders.
The Seamount Catalog is a digital archive for bathymetric seamount maps from all the oceans that can be viewed and downloaded in various formats. This catalog contains morphological data, sample information, related grid and multibeam data files, as well as user-contributed files that all can be downloaded.
This is the KONECT project, a project in the area of network science with the goal to collect network datasets, analyse them, and make available all analyses online. KONECT stands for Koblenz Network Collection, as the project has roots at the University of Koblenz–Landau in Germany. All source code is made available as Free Software, and includes a network analysis toolbox for GNU Octave, a network extraction library, as well as code to generate these web pages, including all statistics and plots. KONECT contains over a hundred network datasets of various types, including directed, undirected, bipartite, weighted, unweighted, signed and rating networks. The networks of KONECT are collected from many diverse areas such as social networks, hyperlink networks, authorship networks, physical networks, interaction networks and communication networks. The KONECT project has developed network analysis tools which are used to compute network statistics, to draw plots and to implement various link prediction algorithms. The result of these analyses are presented on these pages. Whenever we are allowed to do so, we provide a download of the networks.