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Cleanup explore, reduce competition with data types page #32

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<meta name="url" content="explore.html" /> <meta name="url" content="explore.html" />
</head> </head>
<body> <body>
<h2>Hairy Brain</h2> <p>The dataset comprises many different data types, ranging from brain
imaging modalities, to eye tracking, and measurements of heart beat
and breathing. This page offers a glimpse into some of these data type
and a few quality metrics used to investigate the utility of the dataset.
A comprehensive assessment can be found in associated data papers that
are available for every dataset component listed on the
<a href="/data.html">Data Page</a>.</p>
<h2>The "Hairy" Brain</h2>
<p>Diffusion-weighted imaging (DWI) is a technique that can be used to <p>Diffusion-weighted imaging (DWI) is a technique that can be used to
visualize neural tracts or <strong>nerve fibre bundles</strong> by visualize neural tracts or <strong>nerve fibre bundles</strong> by
measuring the direction of water diffusion in brain tissue. The example measuring the direction of water diffusion in brain tissue. The example
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lower center of the image show the <a href="http://en.wikipedia.org/wiki/Pyramidal_tracts">corticospinal tract</a>, lower center of the image show the <a href="http://en.wikipedia.org/wiki/Pyramidal_tracts">corticospinal tract</a>,
where the brain is connected with the nervous system in other parts of the where the brain is connected with the nervous system in other parts of the
body. The provided scans have been made with a standard clinical procedure body. The provided scans have been made with a standard clinical procedure
at 2 mm spatial resolution. For more more information on this image type, at 2 mm spatial resolution.</p>
see <a href="http://en.wikipedia.org/wiki/Diffusion_tensor_imaging">Wikipedia</a>.
The complete description of this acquisition has been published in:</p>
<blockquote>
Hanke et al. (2014). <a href="http://www.nature.com/articles/sdata20143">A
high-resolution 7-Tesla fMRI dataset from complex natural stimulation with an audio movie</a>.
Scientific Data, 1.
</blockquote>
<p>Click on the image to load an interactive viewer to study the complex
three-dimensional structure of the connectome.</p>
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load_xtk_renderer(); load_xtk_renderer();
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<h2>NeuroVault Goodness</h2> <h2>The colorful world of brain function</h2>
<p>TODO: write intro; attribute NeuroVault appropriately</p> <p>One way to analyze brain function is to contrast where the brain consumes
oxygen differently between particular conditions. A number of such analysis
result have been published on the <a href="https://neurovault.org/">NeuroVault</a>
platform to enable further meta-analysis. Browse through the topics and
see how individual brain areas responds differently.</p>
<div id="nv_picker"> <div id="nv_picker">
<p><input type="radio" name="neurovault_ds" id="nv_308" value="308" checked> <p><input type="radio" name="neurovault_ds" id="nv_308" value="308" checked>
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<h2>Functional data quality</h2> <h2>Functional data quality</h2>
<p>Since head movement during the acquisition of a functional MRI time series can be <p>Since head movement during the acquisition of a functional MRI time series can be
detrmental for the eventual data analysis and results, volume-to-volume head movement detrimental for the eventual data analysis and results, volume-to-volume head movement
parameters are typically inspected as a quality indicator of fMRI data. Framewise parameters are typically inspected as a quality indicator of fMRI data. Framewise
displacement (FD) captures head movement in a single value per volume, resulting in an displacement (FD) captures head movement in a single value per volume, resulting in an
FD time series per functional run. Below we present interactive distribution plots of FD time series per functional run. Below we present interactive distribution plots of