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This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
National Geophysical Data Center: All free data from the NGSC. Includes elevation models, land cover, seismology, etc. The Geospatial Platform: Search for and download a wide variety of datasets from this portal developed by the member agencies of the Federal Geographic Data Committee through collaboration with partners and stakeholders.
PubPsych is a free information retrieval system for psychological resources. It offers a comprehensive and balanced selection of resources from a growing number of international databases with a European focus, covering the needs of academic and professional psychologists.
Extensions for bioinformatics and text mining; RapidMiner – Data mining software written in Java, fully integrating Weka, featuring 350+ operators for preprocessing, machine learning, visualization, etc. – the prior version is available as open-source; Scriptella ETL – ETL (Extract-Transform-Load) and script execution tool. Supports ...
The university was established in 2007 as University Campus Suffolk (UCS), founded as a collaboration between the University of East Anglia and the University of Essex. [2] The university's current name was adopted after it was granted independence in 2016 by the Privy Council and was awarded university status.
The Sawyer Business School is the only business school in the United States to obtain three accreditations from the leading international accreditation agencies in the areas of Business and Accounting, [3] Healthcare Management (CAHME), [4] and Public Administration.
In business, data mining is the analysis of historical business activities, stored as static data in data warehouse databases. The goal is to reveal hidden patterns and trends. Data mining software uses advanced pattern recognition algorithms to sift through large amounts of data to assist in discovering previously unknown strategic business ...
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).