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Found 29 result(s)
Through the Microsoft eScience Project, the Berkeley Water Center is developing a Water Cyberinfrastructure prototype that can be used to investigate and eventually manage water resources. The Water Cyberinfrastructure is developing in close collaboration between IT, physical science, and California water agency leaders. The value of the Cyberinfrastructure prototype will be tested through relevant end-to-end demonstration focused on important California Basins. The study region(s) are chosen based on several criteria, including availability of the data, importance of the problem that can be tackled given the cyberinfrastructure to California, leveraging opportunity, and scientific importance of the problems to be addressed. The BWC is currently building partnerships with several water representatives, such as the USGS, Sonoma County Water Agency, the Monterey County Water Resource Agency, and the NOAA National Marine Fisheries Service. Our objective with the California Water projects is to first assemble only the most critical components needed to address relevant science questions, rather than to initially create fully developed problem solving environments or construct a grand scale solution.
The German Socio-Economic Panel Study (SOEP) is a wide-ranging representative longitudinal study of private households, located at the German Institute for Economic Research, DIW Berlin. Every year, there were nearly 11,000 households, and more than 20,000 persons sampled by the fieldwork organization TNS Infratest Sozialforschung. The data provide information on all household members, consisting of Germans living in the Old and New German States, Foreigners, and recent Immigrants to Germany. The Panel was started in 1984. Some of the many topics include household composition, occupational biographies, employment, earnings, health and satisfaction indicators.
GTS AI is an Artificial Intelligence Company that offers excellent services to its clients. We use high definition images and use high quality data to analyze and help in Machine Learning Company . We are a dataset provider and we collect data in regards to artificial intelligence.
WorldData.AI comes with a built-in workspace – the next-generation hyper-computing platform powered by a library of 3.3 billion curated external trends. WorldData.AI allows you to save your models in its “My Models Trained” section. You can make your models public and share them on social media with interesting images, model features, summary statistics, and feature comparisons. Empower others to leverage your models. For example, if you have discovered a previously unknown impact of interest rates on new-housing demand, you may want to share it through “My Models Trained.” Upload your data and combine it with external trends to build, train, and deploy predictive models with one click! WorldData.AI inspects your raw data, applies feature processors, chooses the best set of algorithms, trains and tunes multiple models, and then ranks model performance.
DBIE is a data warehouse of the Department of Statistics and Information Management (DSIM), under the Reserve Bank of India. It disseminates data on various aspects of the Indian Economy through several of its publications, by means of it’s three parts – namely has mainly three parts Home, Statistics and Time-series Publications. Again, Home is divided into two parts viz. Important Economic Indicators & Economy at a Glance through dashboards. The entire statistics have been presented in seven subject areas - Real Sector, Corporate Sector, Financial Sector, Financial Market, External Sector, Public Finance, Socio-Economic Indicators. Sectors have different sub-sectors and reports under the sub-sectors have been organized on periodicity wise. Downloading of data can be possible into Excel, CSV, PDF formats. User can use the data for their research work with courtesy to the Database on Indian Economy, Reserve Bank of India.
Science Photo Library (SPL) provides creative professionals with striking specialist imagery, unrivalled in quality, accuracy and depth of information. We have more than 600,000 images and 40,000 clips to choose from, with hundreds of new submissions uploaded to the website each week.
The repository is no longer available. >>>!!!<<< 2018-09-14: no more access to GIS Data Depot >>>!!!<<<
The Wolfram Data Repository is a public resource that hosts an expanding collection of computable datasets, curated and structured to be suitable for immediate use in computation, visualization, analysis and more. Building on the Wolfram Data Framework and the Wolfram Language, the Wolfram Data Repository provides a uniform system for storing data and making it immediately computable and useful. With datasets of many types and from many sources, the Wolfram Data Repository is built to be a global resource for public data and data-backed publication.
Survey of India, The National Survey and Mapping Organization of the country under the Department of Science & Technology, is the OLDEST SCIENTIFIC DEPARTMENT OF THE GOVT. OF INDIA. It was set up in 1767 and has evolved rich traditions over the years. In its assigned role as the nation's Principal Mapping Agency, Survey of India bears a special responsibility to ensure that the country's domain is explored and mapped suitably, provide base maps for expeditious and integrated development and ensure that all resources contribute with their full measure to the progress, prosperity and security of our country now and for generations to come. The history of the Survey of India dates back to the 18th Century. Forerunners of army of the East India Company and Surveyors had an onerous task of exploring the unknown. Bit by bit the tapestry of Indian terrain was completed by the painstaking efforts of a distinguished line of Surveyors such as Mr. Lambton and Sir George Everest. It is a tribute to the foresight of such Surveyors that at the time of independence the country inherited a survey network built on scientific principles. The great Trigonometric series spanning the country from North to South East to West are some of the best geodetic control series available in the world. The scientific principles of surveying have since been augmented by the latest technology to meet the multidisciplinary requirement of data from planners and scientists. Organized into only 5 Directorates in 1950, mainly to look after the mapping needs of Defense Forces in North West and North East, the Department has now grown into 22 Directorates spread in approx. all parts (states) of the country to provide the basic map coverage required for the development of the country. Its technology, latest in the world, has been oriented to meet the needs of defense forces, planners and scientists in the field of geo-sciences, land and resource management. Its expert advice is being utilized by various Ministries and undertakings of Govt. of India in many sensitive areas including settlement of International borders, State boundaries and in assisting planned development of hitherto under developed areas. Faced with the requirement of digital topographical data, the department has created three Digital Centers during late eighties to generate Digital Topographical Data Base for the entire country for use in various planning processes and creation of geographic information system. Its specialized Directorates such as Geodetic and Research Branch, and Indian Institute of Surveying & Mapping (erstwhile Survey Training Institute) have been further strengthened to meet the growing requirement of user community. The department is also assisting in many scientific programs of the Nation related to the field of geo-physics, remote sensing and digital data transfers.
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.
The Cross-National Time-Series Data Archive (CNTS) was initiated by Arthur S. Banks in 1968 with the aim of assembling, in machine readable, longitudinal format, certain of the aggregate data resources of The Statesman’s Yearbook. The CNTS offers a listing of international and national country-data facts. The dataset contains statistical information on a range of countries, with data entries ranging from 1815 to the present.
A databank on the economy, agriculture, tourism, infrastructure, industry, and natural resources of the North Eastern Region of India; comprises seven states namely Arunachal Pradesh, Assam, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura (popularly known as Seven Sisters of India). The region (holds 7.9% of the total land space of the country) is of strategic importance for the country on account of the fact that nearly 90% of its borders form India's international boundaries. Thus information about population distribution, migration of peoples, vast natural resources, literacy rate, infrastructure development, cultural diversity, economy, etc. of this region are quite different from rest of the country.NER databank intends to provide information on multifarious activities of North Eastern states of India, thereby make it accessible to social commons. The North East Databank is a web portal created to provide a regional resource database for the North Eastern Region (NER).
Provided by the University Libraries, KiltHub is the comprehensive institutional repository and research collaboration platform for research data and scholarly outputs produced by members of Carnegie Mellon University and their collaborators. KiltHub collects, preserves, and provides stable, long-term global open access to a wide range of research data and scholarly outputs created by faculty, staff, and student members of Carnegie Mellon University in the course of their research and teaching.
the Data Hub is a community-run catalogue of useful sets of data on the Internet. You can collect links here to data from around the web for yourself and others to use, or search for data that others have collected. Depending on the type of data (and its conditions of use), the Data Hub may also be able to store a copy of the data or host it in a database, and provide some basic visualisation tools.
INDI was formed as a next generation FCP effort. INDI aims to provide a model for the broader imaging community while simultaneously creating a public dataset capable of dwarfing those that most groups could obtain individually.
ResearchGate is a network where 15+ million scientists and researchers worldwide connect to share their work. Researchers can upload data of any type and receive DOIs, detailed statistics and real-time feedback. In Data discovery Section of ResearchGate you can explore the added datasets.
We are developing an open, online platform to provide a seamless access to cloud computing infrastructure and brain data and data derivatives. This platform is meant to reach out beyond neuroscience, allowing also computer scientists, statisticians and engineers interested in brain data to use the data to develop and publish their methods. Brain Life is a project under active development. We currently offer several cloud computing services – also called Brain Life Applications. Sixty-six collaborators from global scientific communities contribute to the project by providing data, applications, technology and products to advance understanding the human brain.
The Jülich Observatory for Cloud Evolution (JOYCE) operates ground-based active and passive remote sensing instruments for cloud and precipitation observations. ​JOYCE is based on a long-term successful collaboration between the University of Cologne, the University of Bonn and the Research Centre Jülich. Since 2017 JOYCE is transformed into a Core Facility (JOYCE - CF) funded by the DFG (Deutsche Forschungsgemeinschaft) with the aim of high quality radar and passive microwave observations of the atmosphere. JOYCE will serve as a reference center for best practices in data acquisition, storage and distribution. JOYCE instrumentation aims to observe spatial and temporal variability of atmospheric water cycle variables.
CORD is Cranfield University's research data repository, for secure preservation of institutional research data outputs. Cranfield is an exclusively postgraduate university that is a global leader for transformational research in technology and management. We are focused on the specialist themes of aerospace, defence and security, energy and power, environment and agrifood, manufacturing, transport systems, and water. The Cranfield School of Management is world leader in management education and research.
One of twelve NASA Science Mission Directorate (SMD) Data Centers that provide Earth science data, information, and services to research scientists, applications scientists, applications users, and students. The GES DISC is the home (archive) of NASA Precipitation and Hydrology, as well as Atmospheric Composition and Dynamics remote sensing data and information. The DISC also houses the Modern Era Retrospective-Analysis for Research and Applications (MERRA) data assimilation datasets (generated by GSFC’s Global Modeling and Assimilation Office), and the North American Land Data Assimilation System (NLDAS) and Global Land Data Assimilation System (GLDAS) data products (both generated by GSFC's Hydrological Sciences Branch).