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HTRU1 Batched Dataset

<p>The&nbsp;<a href="http://www.jb.man.ac.uk/research/ascaife/htru1-batches-py.tar.gz">HTRU1 Batched Dataset</a>&nbsp;is a subset of the HTRU Medlat Training Data, a collection of labeled pulsar candidates from the intermediate galactic latitude part of the HTRU survey. HTRU1 was originally assembled to train the SPINN pulsar classifier. If you use this dataset please cite:</p> <p><em>SPINN: a straightforward machine learning solution to the pulsar candidate selection problem</em>&nbsp;V. Morello, E.D. Barr, M. Bailes, C.M. Flynn, E.F. Keane and W. van Straten, 2014, Monthly Notices of the Royal Astronomical Society, vol. 443, pp. 1651-1662&nbsp;<a href="http://arxiv.org/abs/1406.3627">arXiv:1406:3627</a></p> <p><em>The High Time Resolution Universe Pulsar Survey - I. System Configuration and Initial Discoveries</em>&nbsp;M. J. Keith et al., 2010, Monthly Notices of the Royal Astronomical Society, vol. 409, pp. 619-627&nbsp;<a href="https://arxiv.org/abs/1006.5744">arXiv:1006.5744</a></p> <p>The&nbsp;<a href="http://www.jb.man.ac.uk/research/ascaife/htru1-batches-py.tar.gz">HTRU1 Batched Dataset</a>&nbsp;consists of 60000 32x32 images in 2 classes: pulsar &amp; non-pulsar. Each image has 3 channels (equivalent to RGB), but the channels contain different information:</p> <ul> <li><strong>Channel 0:</strong>&nbsp;<em>Period Correction - Dispersion Measure surface</em></li> <li><strong>Channel 1:</strong>&nbsp;<em>Phase - Sub-band surface</em></li> <li><strong>Channel 2:</strong>&nbsp;<em>Phase - Sub-integration surface</em></li> </ul> <p>There are 50000 training images and 10000 test images. The&nbsp;<a href="http://www.jb.man.ac.uk/research/ascaife/htru1-batches-py.tar.gz">HTRU1 Batched Dataset</a>&nbsp;is inspired by the&nbsp;<a href="http://www.cs.toronto.edu/~kriz/cifar.html">CIFAR-10 Dataset</a>.</p> <p>The dataset is divided into five training batches and one test batch. Each batch contains 10000 images. These are in random order, but each batch contains the same balance of pulsar and non-pulsar images. Between them, the six batches contain 1194 true pulsars and 58806 non-pulsars.</p> <p>The&nbsp;<a href="https://raw.githubusercontent.com/as595/HTRU1/master/htru1.py">htru1.py</a>&nbsp;file contains an instance of the&nbsp;<a href="https://pytorch.org/docs/stable/torchvision/datasets.html">torchvision Dataset()</a>&nbsp;for the HTRU1 Batched Dataset.</p>

ShareScore

28/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0

Topics

Dataset details

Repository
zenodo
Published
April 2, 2019
License
gpl-3.0
DOI
10.5281/zenodo.3205408

Scored with release 0.9.0

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