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<<<!!!<<< This MultiDark application is now integrated into CosmoSim (https://www.cosmosim.org/ , all data and much more is available there. The old MultiDark server is no longer available. >>>!!!>>> The MultiDark database provides results from cosmological simulations performed within the MultiDark project. This database can be queried by entering SQL statements directly into the Query Form. The access to that form and thus access to the public & private databases is password protected.
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<<<!!!<<< This repository is no longer available. The Social Sciences Library of the former Center for Advanced Studies in Social Sciences (CEACS) of the Juan March Institute has been integrated into the Social and Legal Sciences Library of the Carlos III University of Madrid since September 2013. In the University's catalog you can consult what used to be its collection of monographs and journals. >>>!!!>>>
The database aims to bridge the gap between agent repositories and studies documenting the effect of antimicrobial combination therapies. Most notably, our primary aim is to compile data on the combination of antimicrobial agents, namely natural products such as AMP. To meet this purpose, we have developed a data curation workflow that combines text mining, manual expert curation and graph analysis and supports the reconstruction of AMP-Drug combinations.
FactGrid is a Wikibase instance designed to be used by historians with a focus on international projects. The database is hosted by the University of Erfurt and coordinated at the Gotha Research Centre. Partners in joint ventures are Wikimedia Germany as the software provider and the German National Library in a project to open the GND to international research.
The long-term goal of this project is to implement a new strategy for preserving and providing access to the Astrophysical data heritage. IA2 is an ambitious Italian Astrophysical research infrastructure project that aims at co-ordinating different national initiatives to improve the quality of astrophysical data services. It aims at co-ordinating these developments and facilitating access to this data for research purposes. The first working target, is the implementation of the TNG Long-Term Archive (LTA). Its feasibility was demonstrated by the LTA pilot project prototype, funded by CNAA in 2001 and completed successfully in July 2002. The implementation of the TNG archive implies: − interfacing with the Centro "Galileo Galilei" (CGG) for the acquisition of TNG data; − long-term storage of scientific, technical and auxiliary data from the TNG; − providing accessibility by the CGG staff and by the scientific community to original and derived data; − providing tools to support the life cycle of observing proposals. The second target of the proposal aims at ensuring harmonization with other projects related to archiving of data of astrophysical interest, with particular reference to projects involving the Italian astronomical community (LBT, VST, GSC-II, DPOSS, …), to the Italian Solar and Solar System Physics community (SOLAR, SOLRA, ARTHEMIS which form SOLARNET – a future node of EGSO) and to the national and international coordination efforts fostering the idea of a multiwavelength Virtual Astronomical Observatory, and the use of the archived data through the Italian Astronomical Grid.
The main goal of the CLUES-project is to provide constrained simulations of the local universe designed to be used as a numerical laboratory of the current paradigm. The simulations will be used for unprecedented analysis of the complex dark matter and gasdynamical processes which govern the formation of galaxies. The predictions of these experiments can be easily compared with the detailed observations of our galactic neighborhood. Some of the CLUES data is now publicly available via the CosmoSim database (https://www.cosmosim.org/). This includes AHF halo catalogues from the Box 64, WMAP3 resimulations of the Local Group with 40963 particle resolution.
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CosmoHub is a web application based on Hadoop to perform interactive exploration and distribution of massive cosmological datasets