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Found 14 result(s)
Galaxies, made up of billions of stars like our Sun, are the beacons that light up the structure of even the most distant regions in space. Not all galaxies are alike, however. They come in very different shapes and have very different properties; they may be large or small, old or young, red or blue, regular or confused, luminous or faint, dusty or gas-poor, rotating or static, round or disky, and they live either in splendid isolation or in clusters. In other words, the universe contains a very colourful and diverse zoo of galaxies. For almost a century, astronomers have been discussing how galaxies should be classified and how they relate to each other in an attempt to attack the big question of how galaxies form. Galaxy Zoo (Lintott et al. 2008, 2011) pioneered a novel method for performing large-scale visual classifications of survey datasets. This webpage allows anyone to download the resulting GZ classifications of galaxies in the project.
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The Data Center for Aurora in NIPR is responsible for data archiving and dissemination of all-sky camera observations, visual observations, other optical observations (such as TV and photometric observations), auroral image and particle observations from satellites, geomagnetic observations, and observations of upper atmosphere phenomena associated with aurora such as ULF, VLF and CNA activities. This Data Catalogue summarizes the collection of data sets, data books, related publications and facilities available in the WDC for Aurora as of December 2003. The WDC for Aurora changed its name as "Data Center for Aurora in NIPR" in 2008 due to the disappearance of the WDC panel in ICSU.
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Rodare is the institutional research data repository at HZDR (Helmholtz-Zentrum Dresden-Rossendorf). Rodare allows HZDR researchers to upload their research software and data and enrich those with metadata to make them findable, accessible, interoperable and retrievable (FAIR). By publishing all associated research software and data via Rodare research reproducibility can be improved. Uploads receive a Digital Object Identfier (DOI) and can be harvested via a OAI-PMH interface.
The UK Solar System Data Centre (UKSSDC) provides a STFC and NERC jointly funded central archive and data centre facility for Solar System science in the UK. The facilities include the World Data Centre for Solar-Terrestrial Physics, Chilton and the Cluster Ground-Based Data Centre. The UKSSDC supports data archives for the whole UK solar system community encompassing solar, inter-planetary, magnetospheric, ionospheric and geomagnetic science. The UKSSDC is part of RAL Space based at the STFC run Rutherford Appleton Laboratory in Oxfordshire.
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The CDPP is the French national data centre for natural plasmas of the solar system. The CDPP assures the long term preservation of data obtained primarily from instruments built using French resources, and renders them readily accessible and exploitable by the international community. The CDPP also provides services to enable on-line data analysis (AMDA), 3D data visualization in context (3DView), and a propagation tool which bridges solar perturbations to in-situ measurements. The CDPP is involved in the development of interoperability, participates in several Virtual Observatory projects, and supports data distribution for scientific missions (Solar Orbiter, JUICE).
As part of the Copernicus Space Component programme, ESA manages the coordinated access to the data procured from the various Contributing Missions and the Sentinels, in response to the Copernicus users requirements. The Data Access Portfolio documents the data offer and the access rights per user category. The CSCDA portal is the access point to all data, including Sentinel missions, for Copernicus Core Users as defined in the EU Copernicus Programme Regulation (e.g. Copernicus Services).The Copernicus Space Component (CSC) Data Access system is the interface for accessing the Earth Observation products from the Copernicus Space Component. The system overall space capacity relies on several EO missions contributing to Copernicus, and it is continuously evolving, with new missions becoming available along time and others ending and/or being replaced.
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The "Subaru Observatory Project" was originally planned for producing very important output to astronomical society by systematic time allocation and using characteristic functions of Subaru Telescope. The observation time for this project consists of guaranteed time both for telescope builders and for people responsible for telescope operation. 3 proposals were selected for execution during 2002 and 2003 fiscal years. They are Subaru Deep Field (SDF) (PI is Dr. Kashikawa at Mitaka, NAOJ), Subaru XMM-Newton Deep Survey (SXDS) (PI is Dr. Sekiguchi at Hilo, Subaru Telescope), and Disk and Planet Searches (SDPS) (PI is Dr. Hayashi at Hilo, Subaru Telescope). SOAPs web server provide the data (fully reduced images and catalogs) download obtained from SDF and SXDS projects. Raw Data are available at the SMOKA Science Archive: https://smoka.nao.ac.jp/
The ProteomeXchange consortium has been set up to provide a single point of submission of MS proteomics data to the main existing proteomics repositories, and to encourage the data exchange between them for optimal data dissemination. Current members accepting submissions are: The PRIDE PRoteomics IDEntifications database at the European Bioinformatics Institute focusing mainly on shotgun mass spectrometry proteomics data PeptideAtlas/PASSEL focusing on SRM/MRM datasets.
Among the basic tasks of WDC-Ukraine there is collection, handling and storage of science data and giving access to it for usage both in science research and study process. That include contemporary tutoring technologies and resources of e-libraries and archives; remote access to own information resources for the wide circle of scientists from the universities and science institutions of Ukraine
The Open Science Framework (OSF) is part network of research materials, part version control system, and part collaboration software. The purpose of the software is to support the scientist's workflow and help increase the alignment between scientific values and scientific practices. Document and archive studies. Move the organization and management of study materials from the desktop into the cloud. Labs can organize, share, and archive study materials among team members. Web-based project management reduces the likelihood of losing study materials due to computer malfunction, changing personnel, or just forgetting where you put the damn thing. Share and find materials. With a click, make study materials public so that other researchers can find, use and cite them. Find materials by other researchers to avoid reinventing something that already exists. Detail individual contribution. Assign citable, contributor credit to any research material - tools, analysis scripts, methods, measures, data. Increase transparency. Make as much of the scientific workflow public as desired - as it is developed or after publication of reports. Find public projects here. Registration. Registering materials can certify what was done in advance of data analysis, or confirm the exact state of the project at important points of the lifecycle such as manuscript submission or at the onset of data collection. Discover public registrations here. Manage scientific workflow. A structured, flexible system can provide efficiency gain to workflow and clarity to project objectives, as pictured.
Data products developed and distributed by the National Institute of Standards and Technology span multiple disciplines of research and are widely used in research and development programs by industry and academia. NIST's publicly available data sets showcase its committment to providing accurate, well-curated measurements of physical properties, exemplified by the Standard Reference Data program, as well as its committment to advancing basic research. In accordance with U.S. Government Open Data Policy and the NIST Plan for providing public access to the results of federally funded research data, NIST maintains a publicly accessible listing of available data, the NIST Public Dataset List (json). Additionally, these data are assigned a Digital Object Identifier (DOI) to increase the discovery and access to research output; these DOIs are registered with DataCite and provide globally unique persistent identifiers. The NIST Science Data Portal provides a user-friendly discovery and exploration tool for publically available datasets at NIST. This portal is designed and developed with data.gov Project Open Data standards and principles. The portal software is hosted in the usnistgov github repository.