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The Lunar Orbiter Photographic Atlas of the Moon by Bowker and Hughes (NASA SP-206) is considered the definitive reference manual to the global photographic coverage of the Moon. The images contained within the atlas are excellent for studying lunar morphology because they were obtained at low to moderate Sun angles. The digital Lunar Orbiter Atlas of the Moon is a reproduction of the 675 plates contained in Bowker and Hughes. The digital archive, however, offers many improvements upon its original hardbound predecessor. Multiple search capabilities were added to the database to expedite locating images and features of interest. For accuracy and usability, surface feature information has been updated and improved. Lastly, to aid in feature identification, a companion image containing feature annotation has been included. The symbols on the annotated overlays, however, should only be used as locators and not for precise measurements. More detailed information about the digital archive process can be read in abstracts presented at the 30th and 31st Lunar and Planetary Science Conferences.
The primary function of this database is to provide authoritative information about meteorite names. The correct spelling, complete with punctuation and diacritical marks, of all known meteorites recognized by the Meteoritical Society may be found in this compilation. Official abbreviations for many meteorites are documented here as well. The database also contains status information for meteorites with provisional names, and listings for specimens of doubtful origin and pseudometeorites. A seconday purpose of this database is to provide an interface to map services for the display of geographic information about meteorites. Two are currently implemented here. If the user has installed the free NASA program World Wind, links are provided for each meteorite to zoom the program to the find location. The database also provides links to the Google Maps service for the display of find locations.
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.
The HEASARC is a multi-mission astronomy archive for the EUV, X-ray, and Gamma ray wave bands. Because EUV, X and Gamma rays cannot reach the Earth's surface it is necessary to place the telescopes and sensors on spacecraft. The HEASARC now holds the data from 25 observatories covering over 30 years of X-ray, extreme-ultraviolet and gamma-ray astronomy. Data and software from many of the older missions were restored by the HEASARC staff. Examples of these archived missions include ASCA, BeppoSAX, Chandra, Compton GRO, HEAO 1, Einstein Observatory (HEAO 2), EUVE, EXOSAT, HETE-2, INTEGRAL, ROSAT, Rossi XTE, Suzaku, Swift, and XMM-Newton.
The US Virtual Astronomical Observatory (VAO) is the VO effort based in the US, and it is one of many VO projects currently underway worldwide. The primary emphasis of the VAO is to provide new scientific research capabilities to the astronomy community. Thus an essential component of the VAO activity is obtaining input from US astronomers about the research tools that are most urgently needed in their work, and this information will guide the development efforts of the VAO. >>>!!!<<< Funding discontinued in 2014 and all software, documentation, and other digital assets developed under the VAO are stored in the VAO Project Repository https://sites.google.com/site/usvirtualobservatory/ . Code is archived on Github https://github.com/TomMcGlynn/usvirtualobservatory . >>>!!!<<<
The Data Center at the University of Wisconsin-Madison Space Science and Engineering Center (SSEC), is responsible for the access, maintenance and distribution of real-time and archive weather satellite data.
The ESO/ST-ECF science archive is a joint collaboration of the European Organisation for Astronomical Research in the Southern Hemisphere (ESO) and the Space Telescope - European Coordinating Facility (ST-ECF). ESO observational data can be requested after the proprietary period by the astronomical community.
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AVISO stands for "Archiving, Validation and Interpretation of Satellite Oceanographic data". Here, you will find data, articles, news and tools to help you discover or improve your skills in the altimetry domain through four key themes: ocean, coast, hydrology and ice. Altimetry is a technique for measuring height. Satellite altimetry measures the time taken by a radar pulse to travel from the satellite antenna to the surface and back to the satellite receiver. Combined with precise satellite location data, altimetry measurements yield sea-surface heights.
The Square Kilometre Array (SKA) is a radio telescope with around one million square metres of collecting area, designed to study the Universe with unprecedented speed and sensitivity. The SKA is not a single telescope, but a collection of various types of antennas, called an array, to be spread over long distances. The SKA will be used to answer fundamental questions of science and about the laws of nature, such as: how did the Universe, and the stars and galaxies contained in it, form and evolve? Was Einstein’s theory of relativity correct? What is the nature of ‘dark matter’ and ‘dark energy’? What is the origin of cosmic magnetism? Is there life somewhere else in the Universe?
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.
The Protein Data Bank (PDB) is an archive of experimentally determined three-dimensional structures of biological macromolecules that serves a global community of researchers, educators, and students. The data contained in the archive include atomic coordinates, crystallographic structure factors and NMR experimental data. Aside from coordinates, each deposition also includes the names of molecules, primary and secondary structure information, sequence database references, where appropriate, and ligand and biological assembly information, details about data collection and structure solution, and bibliographic citations. The Worldwide Protein Data Bank (wwPDB) consists of organizations that act as deposition, data processing and distribution centers for PDB data. Members are: RCSB PDB (USA), PDBe (Europe) and PDBj (Japan), and BMRB (USA). The wwPDB's mission is to maintain a single PDB archive of macromolecular structural data that is freely and publicly available to the global community.
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<<<!!!<<< This repository is no longer available. >>>!!!>>> Japan Space Systems (J-spacesystems) aims to contribute to the advancement of Japanese industry, space systems technology, conservation of the earth environment, utilization of the space environment, and other research and development efforts. The system provides access to data from unmanned space missions and remote sensing instruments.
SkyView is a Virtual Observatory on the Net generating images of any part of the sky at wavelengths in all regimes from Radio to Gamma-Ray.
The WDC has a FTP-server to distribute the PCN index derived from the geomagnetic observatory Qaanaaq (THL) and the Kp-index data products derived at the geomagnetic observatory Niemegk (NGK). The WDC is also holding extensive archives of magnetograms and other geomagnetic observatory data products that predate the introduction of digital data recording. The material is in analogue form such as film or microfiche. The Polar Cap index (abbreviation PC index) consists of the Polar Cap North (PCN) and the Polar Cap South (PCS) index, which are derived from magnetic measurements taken at the geomagnetic observatories Qaanaaq (THL, Greenland, +85o magnetic latitude) and Vostok (VOS, Antarctica, -83o magnetic latitude), respectively. The idea behind these indices is to estimate the intensity of anti-sunward plasma convection in the polar caps. This convection is associated with electric Hall currents and consequent magnetic field variations perpendicular to the antisunward plasma flow (and related Hall current) which can be monitored at the Qaanaaq and Vostok magnetic observatories. PC aims at monitoring the energy input from solar wind to the magnetosphere (loading activity). The index is constructed in such a way that it has a linear relationship with the merging Electric Field at the magnetopause; consequently PC is given in units of mV/m as for the electric field. In August 2013, the International Association of Geomagnetism and Aeronomy (IAGA) endorsed the PC index. The endorsed PC index is accessible at pcindex.org or through WDC Copenhagen.
The Solar Dynamics Observatory (SDO) studies the solar atmosphere on small scales of space and time, in multiple wavelengths. This is a searchable database of all SDO data, including citizen scientist images, space weather and near real time data, and helioseismology data.