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  2. List of datasets for machine-learning research - Wikipedia

    en.wikipedia.org/wiki/List_of_datasets_for...

    Covertype Dataset Data for predicting forest cover type strictly from cartographic variables. Many geographical features given. 581,012 Text Classification 1998 [311] [312] J. Blackard et al. Abscisic Acid Signaling Network Dataset Data for a plant signaling network. Goal is to determine set of rules that governs the network. None. 300 Text

  3. Figshare - Wikipedia

    en.wikipedia.org/wiki/Figshare

    The current 'types' that can be chosen are figures, datasets, media (including video), papers (including pre-prints), posters, code, and filesets (groups of files). [9] All files are released under a Creative Commons license, CC-BY for most files and CC0 (public domain) for datasets. [1] [10] Figshare allows researchers to publish negative data.

  4. Kaggle - Wikipedia

    en.wikipedia.org/wiki/Kaggle

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.

  5. Groundwater model - Wikipedia

    en.wikipedia.org/wiki/Groundwater_model

    The applicability of a groundwater model to a real situation depends on the accuracy of the input data and the parameters. Determination of these requires considerable study, like collection of hydrological data (rainfall, evapotranspiration, irrigation, drainage) and determination of the parameters mentioned before including pumping tests. As ...

  6. MayaVi - Wikipedia

    en.wikipedia.org/wiki/MayaVi

    MayaVi is a scientific data visualizer written in Python, which uses VTK and provides a GUI via Tkinter. MayaVi was developed by Prabhu Ramachandran, is free and distributed under the BSD License. It is cross-platform and runs on any platform where both Python and VTK are available (almost any Unix, Mac OS X, or Windows).

  7. Category:Free data visualization software - Wikipedia

    en.wikipedia.org/wiki/Category:Free_data...

    Free and open-source software portal This is a category of articles relating to data visualization software which can be freely used, copied, studied, modified, and redistributed by everyone that obtains a copy: " free software " or " open source software ".

  8. OpenWebGlobe - Wikipedia

    en.wikipedia.org/wiki/OpenWebGlobe

    OpenWebGlobe was a project and technology for processing and interactively visualizing vast volumes of geospatial data in a 3D virtual globe, even the forks on GitHub are rather dead . The OpenWebGlobe virtual globe can have several data categories like image data, elevation data, points of interest, vector data, and 3D objects. Before ...

  9. Overhead Imagery Research Data Set - Wikipedia

    en.wikipedia.org/wiki/Overhead_Imagery_Research...

    The Overhead Imagery Research Data Set (OIRDS) is a collection of an open-source, annotated, overhead images that computer vision researchers can use to aid in the development of algorithms. [1] Most computer vision and machine learning algorithms function by training on a large set of example data. [ 2 ]