Public Archive Data


  • Summary: This data set is converted from sequence data and aims to predict the polyadenylation signals (PAS) in human seuquences.
    License: unknown (from UCI repository)
    Tags: polya
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: zip (1.7 MB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Distinct types of diffuse large B-cell lymphoma (DLBCL) using gene expression data
    Data Shape: 4027 attributes, 47 instances (Integer,Floating Point,String)
    License: unknown (from UCI repository)
    Tags: b-cell diffuse dlbcl large lymphoma stanford
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.8 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Contains 62 samples collected from colon-cancer patients.
    Data Shape: 2001 attributes, 62 instances (Integer,Floating Point,String)
    License: unknown (from UCI repository)
    Tags: cancer colon-cancer Regression
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.1 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: (No information yet)
    Data Shape: 24482 attributes, 97 instances (Integer,Floating Point,String)
    License: unknown (from LibSVMTools repository)
    Tasks / Methods / Challenges: 1 tasks, 0 methods, 0 challenges
    Download: HDF5 (20.3 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Historical stock market data
    Data Shape: 31 attributes, 11455 instances ()
    License: PDDL
    Tags: econometrics finance time-series
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (2.7 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Water Level from Dam
    Data Shape: 8 attributes, 45175 instances ()
    License: PDDL
    Tags: environmental time-series
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: HDF5 (1.6 MB) XML CSV ARFF LibSVM Matlab Octave
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: bee data from Ryan Turner
    License: PDDL
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: zip (56.1 KB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: Kernel matrix for Caltech 101, with 30 examples per class for training
    License: CC0
    Tags: caltech Kernel Output
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: matlab (60.4 MB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: multy kernel learning dataset on protein fold prediction
    License: unknown (from UCI repository)
    Tags: multi-class multi-kernel protein-fold-prediction
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: unknown (793.6 KB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

  • Summary: data set on pen-based digits
    License: unknown (from UCI repository)
    Tags: conversion_failed handwritten_digits
    Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
    Download: octave (7.7 MB)
    Files are converted on demand and the process can take up to a minute. Please wait until download begins.

Data

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Disclaimer

We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.

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Acknowledgements

This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
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http://www.pascal-network.org/.