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ShareScore release 0.9.0
Dataset results
6 results for “Protoplanetary Discs”
Data from "The first ALMA survey of protoplanetary discs at 3 mm: demographics of grain growth in the Lupus region"
<p>Table 1 and Table 2 from Tazzari et al., 2021, "The first ALMA survey of protoplanetary discs at 3 mm: demographics of grain growth in the Lupus region", Monthly Notices of the Royal Astronomical Society, arXiv:2010.02248</p> <p>Both tables are available in IPAC format, which is in human- and machine-readable:</p> <pre><code class="language-python">from astropy.io import ascii tb = ascii.read('Table1.txt', format='ipac')</code></pre> <p>Table comments (stored at the beginning of the ASCII file as lines starting with "/") can be read as:</p> <pre><code class="language-python">tb.meta['comments'] </code></pre> <p> </p>
Data from "Multi-wavelength continuum sizes of protoplanetary discs: scaling relations and implications for grain growth and radial drift"
<p>Table 1, Table 2, and Table 3 from Tazzari et al., 2021, "Multi-wavelength continuum sizes of protoplanetary discs: scaling relations and implications for grain growth and radial drift", Monthly Notices of the Royal Astronomical Society, arXiv:2010.02249</p> <p>Both tables are available in IPAC format, which is in human- and machine-readable:</p> <pre><code class="language-python">from astropy.io import ascii tb = ascii.read('Table1.txt', format='ipac')</code></pre> <p>Table comments (stored at the beginning of the ASCII file as lines starting with "/") can be read as:</p> <pre><code class="language-python">tb.meta['comments'] </code></pre>
Dumps and Data for 'Impact of aeolian erosion on dust evolution in protoplanetary discs'
<div>This dataset contains the files required to recreate the Phantom simulations run in the publication Michoulier et al. 2024, A&A 686, A32.</div> <div>We have also included the dumps required to re-create Figure 4.</div> <div> </div>
Dumps and Data for 'Compaction during fragmentation and bouncing produces realistic dust grain porosities in protoplanetary discs'
<div>This dataset contains the files required to recreate the Phantom simulations run in the publication Michoulier et al. 2024, A&A 688, A31.</div> <div>We have also included the dumps required to re-create Figures 10, 11, 14, 15, 16, D.1 and E.1.</div>
Extreme Pebble Accretion in Ringed Protoplanetary Discs - Supplementary Material
<p>Videos of the simulations presented in "Extreme Pebble Accretion in Ringed Protoplanetary Discs". The dust species labelled 0, 1, 2 and 3 have grain sizes of 1 cm, 3 mm, 1 mm and 1 µm respectively.</p>
The fate of icy pebbles undergoing sublimation in protoplanetary discs
<p>The images in this folder are the data of the paper: "The fate of icy pebbles undergoing sublimation in protoplanetary disks". <a href="https://doi.org/10.1093/mnras/stab3196">https://doi.org/10.1093/mnras/stab3196</a></p> <p>In the paper, two pebbles models are described: PA (with 50% mass composed of ice) and PB (15% of mass composed by ice, the rest is dust). We used two dust minerals commonly found in protoplanetary disks: olivine and pyroxene. We sieved the dust in three size ranges: less than 50 um (fine component), 500-100 um (medium component) and 100-300 um (coarse component). </p> <p>The result of the sublimation experiment can be obtained by measuring the area of the pebbles before and after the sublimation of the ice. If they disrupt, then the area of the disrupted pebble is bigger than the starting one. The images before and after the sublimation are labelled "before" and "end" at the end of the file name. The sample description is in the files with "label" at the end.</p> <p>The SEM images are the one displayed in figure 1 of the paper.<br> <br> The .txt file provides the spectrum of the olivine and pyroxene used in the experiment (Fig. 2 in the paper). The first column is wavelength (in nanometers) and the second one is reflectance factor.</p> <p> </p>
ScienceDex guides
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.