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Found 13 result(s)

Sloan Digital Sky Survey

SDSS

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The Sloan Digital Sky Survey (SDSS) is one of the most ambitious and influential surveys in the history of astronomy. Over eight years of operations (SDSS-I, 2000-2005; SDSS-II, 2005-2008; SDSS-III 2008-2014; SDSS-IV 2013 ongoing), it obtained deep, multi-color images covering more than a quarter of the sky and created 3-dimensional maps containing more than 930,000 galaxies and more than 120,000 quasars. DSS-IV is managed by the Astrophysical Research Consortium for the Participating Institutions of the SDSS Collaboration including the Carnegie Institution for Science, Carnegie Mellon University, the Chilean Participation Group, Harvard-Smithsonian Center for Astrophysics, Instituto de Astrofísica de Canarias, The Johns Hopkins University, Kavli Institute for the Physics and Mathematics of the Universe (IPMU) / University of Tokyo, Lawrence Berkeley National Laboratory, Leibniz Institut für Astrophysik Potsdam (AIP), Max-Planck-Institut für Astrophysik (MPA Garching), Max-Planck-Institut für Extraterrestrische Physik (MPE), Max-Planck-Institut für Astronomie (MPIA Heidelberg), National Astronomical Observatory of China, New Mexico State University, New York University, The Ohio State University, Pennsylvania State University, Shanghai Astronomical Observatory, United Kingdom Participation Group, Universidad Nacional Autónoma de México, University of Arizona, University of Colorado Boulder, University of Portsmouth, University of Utah, University of Washington, University of Wisconsin, Vanderbilt University, and Yale University.

Kaggle

Your home for data science

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Kaggle is a platform for predictive modelling and analytics competitions in which statisticians and data miners compete to produce the best models for predicting and describing the datasets uploaded by companies and users. This crowdsourcing approach relies on the fact that there are countless strategies that can be applied to any predictive modelling task and it is impossible to know beforehand which technique or analyst will be most effective.

World Data Center for Solar-Terrestrial Physics, Moscow

WDC for STP, Moscow

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WDC for STP, Moscow collects, stores, exchanges with other WDCs, disseminates the publications, sends upon requests data on the following Solar-Terrestrial Physics disciplines: Solar Activity and Interplanetary Medium, Cosmic Rays, Ionospheric Phenomena, Geomagnetic Variations.

KNMI Data Platform

formerly: KDC

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KDP has replaced the KNMI Data Centre (KDC), which was turned off on the 27th of July 2020. Not only a change of name, but also a transition to new technologies. Initially, the KDP will be more primitive than KDC. To fulfill future ambitions, a digital KNMI transformation has been initiated. Part of this transition is the development of a new KDP as a successor of the KDC. All data on the KNMI Data Platform is free to use. For some datasets a service agreement is available, which is indicated on the page of the dataset. The KNMI Data platform provides access to KNMI data on weather, climate and seismology. Here you will find KNMI data on various subjects such as the most recent 10-minute observations, historical series, data about meteorological measuring stations, model calculations, earthquake data and satellite products. In addition to KNMI datasets, we also make datasets from other parties available, such as ECMWF, ECOMET, EUMETSAT and WMO.

Critical Zone Observatories data

CZO data

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The NSF-supported Program serves the international scientific community through research, infrastructure, data, and models. We focus on how components of the Critical Zone interact, shape Earth's surface, and support life. ARCHIVED CONTENT: In December 2020, the CZO program was succeeded by the Critical Zone Collaborative Network (CZ Net) https://criticalzone.org/

RWTH Publications Research Data

RWTH Publications Forschungsdaten

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RWTH Publications Research Data offers all RWTH Aachen University affiliates the organizational and technical means to electronically document and publish research data at this institutional repository. Certainly, researchers are encouraged to prefer a subject specific repository whenever appropriate and available. RWTH Aachen University is the largest technical university in Germany and one of nine 'German Universities of Excellence' (elite university). The University library Aachen operates the repository as a member of the join community.

NBIS DOI repository

BILS DOI Repository (formerly)

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<<<!!!<<< The repository is inactive, please use SciLifeLab Data Repository https://www.re3data.org/repository/r3d100013347 >>>!!!>>>

National Biodiversity Network Atlas

formerly: National Biodiversity Network Gateway

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The NBN Atlas is a collaborative project that aggregates biodiversity data from multiple sources and makes it available and usable online. It is the UK’s largest collection of freely available biodiversity data.

National Snow and Ice Data Center

NSIDC

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NSIDC offers hundreds of scientific data sets for research, focusing on the cryosphere and its interactions. Data are from satellites and field observations. All data are free of charge.

ECHO – Cultural Heritage Online

Open Access Infrastructure for a Future Web of Culture and Science

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The ECHO initiative aims to create an infrastructure to bring cultural heritage on the Internet, and builds up a network of institutions, research projects and other users which provide content and technology for the common infrastructure, with the aim to enrich the "agora" and to create a future Web of Culture and Science.

OpenML

Open Machine Learning

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OpenML is an open ecosystem for machine learning. By organizing all resources and results online, research becomes more efficient, useful and fun. OpenML is a platform to share detailed experimental results with the community at large and organize them for future reuse. Moreover, it will be directly integrated in today’s most popular data mining tools (for now: R, KNIME, RapidMiner and WEKA). Such an easy and free exchange of experiments has tremendous potential to speed up machine learning research, to engender larger, more detailed studies and to offer accurate advice to practitioners. Finally, it will also be a valuable resource for education in machine learning and data mining.

SiB Colombia Portal de Datos

GBIF Colombia

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The Colombian Biodiversity Information Facility (SiB Colombia) is a national initiative established in early 2000 and coordinated by Instituto Humboldt to facilitate free and open access to biodiversity data. It comprises a network of more than 100 organizations (including universities, biological collections, research institutes, environmental authorities and NGOs among others) that work together to ensure that biodiversity data is available to support further research, education, policy making and incentive measures for the conservation and sustainable use of biodiversity. SiB Colombia’s mission is to facilitate the management of biodiversity data by bringing together users, publishers and data producers to support research, education and decision making related to knowledge, conservation and sustainable use of biodiversity and ecosystem services. SiB Colombia aims to consolidate the collaborative platform that facilitates the generation, use and democratization of knowledge on the biodiversity of Colombia. Thus, SiB Colombia contributes to a vision of a society that knows and values the biodiversity in which it is immersed, and uses such knowledge for its development.

GNPS: Global Natural Products Social Molecular Networking

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GNPS is a web-based mass spectrometry ecosystem that aims to be an open-access knowledge base for community-wide organization and sharing of raw, processed or identified tandem mass (MS/MS) spectrometry data. GNPS aids in identification and discovery throughout the entire life cycle of data; from initial data acquisition/analysis to post publication.