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12,393 results for “materiality”
Earthquake rupture front tracked by polarization azimuths: Codes and extra material
<p>Set of matlab codes to calculate the rupture front position and migration speed every second starting from a set of SAC files.</p> <p>delays_turkey_event.m needs as input SAC files and returns a set of figures displaying the rupture front position and migrations speed. It needs some ad-hoc functions that are contained in this repository. </p> <p>list_of_accelerometers.txt contains the list of instruments processed in the code. </p> <p>turkey_section.py plots the seismic section of a subset of instruments located on or close the East Anatolian Fault line slipped during the Mw 7.8 2023 Kahramanmaraş earthquake.</p> <p>For all details, see Palo and Zollo, Small-scale segmented fault rupture along the East Anatolian Fault during the 2023 Kahramanmaraş earthquake, <em>Commun Earth Environ, 2024. </em>Uploaded files .fig correspond to the source figures of the graphs included in this paper. </p> <p> </p>
Supplemental material for the manuscript "Extreme genome scrambling in marine planktonic Oikopleura dioica cryptic species".
<p><strong>Supplementary material for the manuscript “Extreme genome scrambling in marine planktonic <em>Oikopleura dioica</em> cryptic species”.<br></strong></p> <p><strong><em>BreakpointsData.tar.xz contains:</em></strong></p> <ul> <li>Pairwise genome alignment files for <em>Oikopleura</em>, <em>Ciona</em>, <em>Caenorhabditis</em>, insects and muntjaks in GFF format in `inst/extdata/`.</li> <li>dN / dS computation results in `inst/extdata/dNdS/`.</li> <li>Annotations of gene models and repeat elements in GFF format in `inst/extdata/Annotations/`.</li> <li>OrthoGroups in `inst/extdata/OrthoFinder/`, where N19 represents the _O. dioica_ clade,</li> <li>N3 the tunicates and N20 the _Ciona_ clade.</li> <li>`BreakpointsData_3.11.0.tar.gz`, a R package installing the above files in the R environments where we ran our computations.</li> <li>The files needed to build the `BreakpointsData` package.</li> </ul> <p><em><strong>Oidioi_pairwise_v3.tar.gz contains:</strong></em></p> <ul> <li>The pairwise alignment files between genomes, in MAF format.</li> <li>A copy of the Nextflow pipeline used to generate them.</li> </ul> <p><em><strong>oist-assembler.tar.gz contains:</strong></em></p> <ul> <li>A Singularity image and its definition file for flye version 2.8.3-b1763` Flye-flye.2.8.3-b1763.sif` and `Flye-flye.def`.</li> <li>A copy of the Nextflow pipeline used to assemble the Bar2_p4 genome in `oist-assembler-Bar2_p4`.</li> <li>A copy of the Nextflow pipeline used to assemble the other genome in `oist-assembler-other_genomes`.</li> </ul> <p><em>Please note that these files are provided for reproducibility only and probably can not be used easily for other purposes.</em></p> <p><em><strong>Oidioi_genomes.tar.gz contains:</strong></em></p> <ul> <li>For each genome, one file (`<genome>.fa`) containing the whole genome sequence and one directory (`<genome>`) containing each chromosome, scaffold or contig of the genome as a separate file.</li> <li>For each genome, one R package, its source directory, and the vignette to create it, providing the genome information as a `BSgenome` object.</li> </ul> <p><em><strong>OrthoFinderRun.tar.xz contains:</strong></em></p> <ul> <li>A full copy of the OrthoFinder2 run that we used to compute hierarchical orthogroups.</li> </ul> <p><em><strong>Supplemental_Code.tar.gz contains:</strong></em></p> <ul> <li>A copy of <https://github.com/oist/LuscombeU_OikScrambling>, where the `.git` and `doc` directories were removed to save space.</li> </ul> <p><em><strong>AugustusAnnotation.tar.gz (added July 26th 2024) contains:</strong></em></p> <ul> <li>AUGUSTUS runs to produce the annotations that were input to OrthoFinder2. We provide them for reproducibility, with no guarantee that they are suitable for other purposes. The annotations used in the manuscript are AOM-5-5f.sm.OSKA-CDS, Bar2_p4_Flye.sm, Bsty_SCLE01.1.sm.abi.cionamodel, Fbor_SDII01.1.sm.abi, KUM-M3-7f.sm.OKI-CDS, Mery_SCLF01.1.sm.abi.cionamodel, Oalb_SCLG01.1.sm.abi.cionamodel, OKI2018_I69_annotv2.sm, Olon_SCLD01.1.sm.abi, OSKA2016v1.9.sm and Ovan_SCLH01.1.sm.abi.cionamodel.</li> </ul>
Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards
<h1>Concordant inter-laboratory derived concentrations of ceramides in human plasma reference materials via authentic standards</h1> <p>In this community effort, we compared measurements between 34 laboratories from 19 countries, utilizing mixtures of labelled authentic synthetic standards, to quantify by mass spectrometry four clinically used ceramide species in the NIST (National Institute of Standards and Technology) human blood plasma Standard Reference Material (SRM) 1950, as well as new suite of candidate plasma reference materials (RM 8231). Participants either utilized a provided validated method (SOP) and/or their method of choice (OTHER). Mean concentration values, and intra- and inter-laboratory coefficients of variation (CV) were calculated using single-point and multi-point calibrations, respectively.</p> <p>The attached file "ILS-Ceramide-Ring-Trial-Datasets.csv" and the table below map the lab number (LabNum) used in the manuscript in all plots to the originally assigned submission Id (LabId) used in <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial/tree/main/data/original-reports" target="_blank" rel="noopener">the anonymized reports </a>containing the peak areas submitted by each lab for their SOP (Standard) and / or OTHER (Preferred) workflow. The table below provides further information on the separation used (LC), the mass analyzer type (QQQ=Triple Quads and Traps, Orbitrap, TOF) and the associated mass analyzer resolution (LowRes, HighRes), and links each LabNum to the corresponding dataset name and Zenodo DOI, if available. In order to retain the anonymity of all participating labs w.r.t. the submitted datasets, only the converted mzML files are provided in the linked submissions. Please note that labs were free to choose whether they wanted to disclose their MS data or not. Thus, missing datasets indicate that the corresponding lab did not provide their raw / mzML data. </p> <p>All reports together with the code for analysis and visualization, reproducing the figures in the manuscript, are available under the following doi: <a href="../doi/10.5281/zenodo.10081970" target="_blank" rel="noopener">https://zenodo.org/doi/10.5281/zenodo.10081970</a>. This links to releases of the following GitHub repository: <a href="https://github.com/lifs-tools/ils-ceramide-ring-trial">https://github.com/lifs-tools/ils-ceramide-ring-trial</a>. </p> <h2>Ring Trial mzML Datasets</h2> <table> <tbody> <tr> <th>LabNum</th> <th>LabId</th> <th>Protocol</th> <th>LC</th> <th>MassAnalyzerType</th> <th>MassAnalyzerResolution</th> <th>DatasetName</th> <th>DOI</th> </tr> <tr> <td>1</td> <td>02b</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_01_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134264" target="_blank" rel="noopener">10.5281/zenodo.13134264</a></td> </tr> <tr> <td>2</td> <td>3</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_02_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13145059" target="_blank" rel="noopener">10.5281/zenodo.13145059</a></td> </tr> <tr> <td>3</td> <td>4</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_03_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134437" target="_blank" rel="noopener">10.5281/zenodo.13134437</a></td> </tr> <tr> <td>4</td> <td>5</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_04_OTHER</td> <td> </td> </tr> <tr> <td>5</td> <td>7</td> <td>OTHER</td> <td>RP</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_05_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134439" target="_blank" rel="noopener">10.5281/zenodo.13134439</a></td> </tr> <tr> <td>6</td> <td>9</td> <td>OTHER</td> <td>FIA</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_06_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134441" target="_blank" rel="noopener">10.5281/zenodo.13134441</a></td> </tr> <tr> <td>7</td> <td>10a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_07_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134445" target="_blank" rel="noopener">10.5281/zenodo.13134445</a></td> </tr> <tr> <td>7</td> <td>10b</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_07_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134443" target="_blank" rel="noopener">10.5281/zenodo.13134443</a></td> </tr> <tr> <td>8</td> <td>12</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_08_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134447" target="_blank" rel="noopener">10.5281/zenodo.13134447</a></td> </tr> <tr> <td>9</td> <td>13</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_09_OTHER</td> <td> </td> </tr> <tr> <td>10</td> <td>14</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_10_SOP</td> <td> </td> </tr> <tr> <td>11</td> <td>15</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_11_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13134449" target="_blank" rel="noopener">10.5281/zenodo.13134449</a></td> </tr> <tr> <td>12</td> <td>16</td> <td>OTHER</td> <td>RP</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_12_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13134451" target="_blank" rel="noopener">10.5281/zenodo.13134451</a></td> </tr> <tr> <td>13</td> <td>17a</td> <td>OTHER</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_13_OTHER</td> <td> </td> </tr> <tr> <td>14</td> <td>18a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_14_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135617" target="_blank" rel="noopener">10.5281/zenodo.13135617</a></td> </tr> <tr> <td>14</td> <td>18b</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_14_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135617" target="_blank" rel="noopener">10.5281/zenodo.13135617</a></td> </tr> <tr> <td>15</td> <td>19</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_15_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135625" target="_blank" rel="noopener">10.5281/zenodo.13135625</a></td> </tr> <tr> <td>16</td> <td>20a</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_16_SOP</td> <td> </td> </tr> <tr> <td>16</td> <td>20b</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_16_OTHER</td> <td> </td> </tr> <tr> <td>17</td> <td>21</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_17_SOP</td> <td> </td> </tr> <tr> <td>18</td> <td>22</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_18_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135627" target="_blank" rel="noopener">10.5281/zenodo.13135627</a></td> </tr> <tr> <td>19</td> <td>23</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_19_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135629" target="_blank" rel="noopener">10.5281/zenodo.13135629</a></td> </tr> <tr> <td>20</td> <td>24</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_20_SOP</td> <td> </td> </tr> <tr> <td>21</td> <td>25</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_21_SOP</td> <td><a href="../doi/10.5281/zenodo.13244007" target="_blank" rel="noopener">10.5281/zenodo.13244007</a></td> </tr> <tr> <td>22</td> <td>26a</td> <td>OTHER</td> <td>FIA</td> <td>Orbitrap</td> <td>HighRes</td> <td>Lab_22_OTHER</td> <td> </td> </tr> <tr> <td>22</td> <td>26b</td> <td>OTHER</td> <td>FIA</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_22_OTHER</td> <td> </td> </tr> <tr> <td>23</td> <td>27</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_23_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135632" target="_blank" rel="noopener">10.5281/zenodo.13135632</a></td> </tr> <tr> <td>24</td> <td>28</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_24_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13135634" target="_blank" rel="noopener">10.5281/zenodo.13135634</a></td> </tr> <tr> <td>25</td> <td>29a</td> <td>SOP</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_25_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136167" target="_blank" rel="noopener">10.5281/zenodo.13136167</a></td> </tr> <tr> <td>25</td> <td>29b</td> <td>OTHER</td> <td>SFC</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_25_OTHER</td> <td><a href="https://doi.org/10.5281/zenodo.13135638" target="_blank" rel="noopener">10.5281/zenodo.13135638</a></td> </tr> <tr> <td>26</td> <td>30</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_26_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136171" target="_blank" rel="noopener">10.5281/zenodo.13136171</a></td> </tr> <tr> <td>27</td> <td>31</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_27_SOP</td> <td><a href="https://doi.org/10.5281/zenodo.13136176" target="_blank" rel="noopener">10.5281/zenodo.13136176</a></td> </tr> <tr> <td>28</td> <td>32</td> <td>OTHER</td> <td>RP</td> <td>TOF</td> <td>HighRes</td> <td>Lab_28_OTHER</td> <td> </td> </tr> <tr> <td>29</td> <td>33</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_29_OTHER</td> <td> </td> </tr> <tr> <td>30</td> <td>34</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_30_SOP</td> <td> </td> </tr> <tr> <td>31</td> <td>35</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_31_OTHER</td> <td> </td> </tr> <tr> <td>32</td> <td>36</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_32_SOP</td> <td><a href="../doi/10.5281/zenodo.13166454" target="_blank" rel="noopener">10.5281/zenodo.13166454</a></td> </tr> <tr> <td>33</td> <td>37</td> <td>OTHER</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_33_OTHER</td> <td><a href="../doi/10.5281/zenodo.13732469" target="_blank" rel="noopener">10.5281/zenodo.13732469</a></td> </tr> <tr> <td>34</td> <td>38</td> <td>SOP</td> <td>RP</td> <td>QQQ</td> <td>LowRes</td> <td>Lab_34_SOP</td> <td><a href="../doi/10.5281/zenodo.13324807" target="_blank" rel="noopener">10.5281/zenodo.13324807</a></td> </tr> </tbody> </table>
Methodological and practical lessons learned from exploring the material criticality of two hydrogen-related products
<p>As the European Union embarks on the energy transition, several challenges need to be faced to ensure that this shift is conducted from a holistic perspective that avoids burden-shifting across sustainability dimensions. One of the main concerns refers to the future availability of materials that clean technologies require. Critical raw<br>material assessment serves to guide the management of such mineral resources in a new paradigm of increasing demand. This work delves into the methodological fundamentals of several product-level criticality indicators in order to discuss their implications within the context of the ecodesign of two hydrogen-related products. Overall, criticality is advised to be assessed making use of several indicators. In the case study of a proton exchange membrane fuel cell stack, the combined interpretation of criticality indicators leads to identifying platinum as the main hotspot, while yttrium and lanthanum account for the most relevant criticality contributions in the case<br>study of a solid oxide electrolysis cell stack.</p>
SOTorrent: Reconstructing and Analyzing the Evolution of Stack Overflow Posts — Supplementary Material
<p>Stack Overflow is the most popular question-and-answer website for software developers, providing a large amount of code snippets and free-form text on a wide variety of topics. Like other software artifacts, questions and answers on Stack Overflow evolve over time, for example when bugs in code snippets are fixed, code is updated to work with a more recent library version, or text surrounding a code snippet is edited for clarity. To be able to analyze how content on Stack Overflow evolves, we built <em>SOTorrent</em>, an open dataset based on the official Stack Exchange data dump. <em>SOTorrent </em>provides access to the version history of Stack Overflow content at the level of whole posts and individual text or code blocks.</p> <p>This dataset has been retrieved from <em>SOTorrent </em>using the following scripts:</p> <p><a href="https://doi.org/10.5281/zenodo.1201679">https://doi.org/10.5281/zenodo.1201679</a></p> <p>For the MSR 2018 paper about SOTorrent, we used the following scripts to analyze the data:</p> <p><a href="https://doi.org/10.5281/zenodo.1201706">https://doi.org/10.5281/zenodo.1201706</a></p> <p>The files <em>sample_before_10.ods</em> and <em>sample_after_10.ods</em> contain our qualitative analysis of 50 comments that were made up to 10 minutes before/after an edit.</p>
Data and material for: "Code review for newcomers: is it different?"
<p>Data and material for the paper "Code review for newcomers: is it different?", published in the Proceedings of the 11th International Workshop on Cooperative and Human Aspects of Software Engineering (CHASE 2018).</p>
Data and materials for Wallace et al (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: comparison of two prospective cohort studies v1.2
<p>This comprises the data and materials for the study: Wallace E, Moriarty F, McGarrigle C, Smith SM, Kenny RA, Fahey T. (2018) Self-report versus electronic medical record recorded healthcare utilisation in older community-dwelling adults: Comparison of two prospective cohort studies. PLOS ONE 13(10): e0206201. <a href="https://doi.org/10.1371/journal.pone.0206201">https://doi.org/10.1371/journal.pone.0206201</a></p> <p>The anonymised TILDA dataset is publicly available to researchers who meet the criteria for access, at no monetary cost, from the Irish Social Science Data Archive (ISSDA) at University College Dublin (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.ucd.ie%2Fissda%2Fdata%2Ftilda%2F&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=%2Fcochi1RuRtYSUa5sF9uA%2BjOOoNYIg7DPpk0mZl5D2s%3D&reserved=0">http://www.ucd.ie/issda/data/tilda/</a>) and the Interuniversity Consortium for Political and Social Research (ICPSR) at the University of Michigan (<a href="https://emea01.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.icpsr.umich.edu%2Ficpsrweb%2FICPSR%2Fstudies%2F34315&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128219875&sdata=7LHSSqU8xotACMsalpAjVrV5m95DlapgQViyr4P%2FsXY%3D&reserved=0">http://www.icpsr.umich.edu/icpsrweb/ICPSR/studies/34315</a>). For the CPCR cohort, no provision for data sharing was included in the original ethical approval and participant consent form. As a minimal data set necessary to replicate the present study could not be deidentified due to the large number of demographic variables considered, a synthetic version of the study dataset was produced using the synthpop package in R: <a href="https://emea01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcran.r-project.org%2Fweb%2Fpackages%2Fsynthpop%2Findex.html&data=02%7C01%7C%7Ccc2345c4f5c543bbcddc08d5fd28200c%7C607041e7a8124670bd3030f9db210f06%7C0%7C0%7C636693271128229884&sdata=j3If%2FNe%2F1eGsGAt9hyg3ICMqmLec4aOrjRVKppaRSFU%3D&reserved=0">https://cran.r-project.org/web/packages/synthpop/index.html</a>. This dataset and the analytical code for the present study are presented here. Code developed on the synthetic data can be sent to frankmoriarty@rcsi.ie or <a href="mailto:enquiries.cpcr@rcsi.ie">enquiries.cpcr@rcsi.ie</a> to be run on the original data.</p> <p>v1.2 includes a more detailed description of how the dataset was synthesised.</p>
Data and material for: "Content classification of development emails"
<p>This data and material support the paper "Content classification of development emails" published in the proceedings of the 34th International Conference on Software Engineering (ICSE 2012).</p> <p>Every software system has a history. <strong>We find traces of a system's history in software repositories</strong>, which are used by developers when building and maintaining their systems. Each repository tells us a part of the history, from its perspective: Issue repositories murmur dark events involving defective and flawed entities; versioning system repositories narrate about restless artifacts and classes that nobody would ever touch; mailing list archives report of unexpected stories on developers’ interactions and opinions.</p> <p>But... <strong>can we seriously trust these repositories?</strong> Can we just listen to what they tell us and behave accordingly? Many wise researchers warmly warned us about the risks of showing such a naive faith in data repositories: Versioning system repositories might seduce us with enchanting stories of always changing entities, but in reality many of these entities may just modify their make up and maintain their old behaviour; or issue repositories might tell us a partial truth about certain very special entities, or developers. We do agree with these researchers: Especially <strong>natural language documents contain information in different languages, surrounded by much noise</strong>. We must pay a special attention when using them.</p> <p>We created <strong>MUCCA</strong>, a classification method to use when dealing with natural language documents. It recognizes source code fragments, patches, stack traces, noise, and natural language with significantly high accuracy. In this way, it allows one to subsequently apply ad hoc analysis techniques to exploit the peculiarities of each category, and extract reliable information.</p> <p>This Zenodo upload supports the paper that describe our work on this topic.</p> <p> </p> <p><strong>1. Source code & Virtual Image</strong></p> <p>MUCCA is written in <a href="http://www.cincomsmalltalk.com/main/products/visualworks/overview/">Cincom VisualWorks Smalltalk</a> and is composed of several components.<br> You can download the source code of the following MUCCA components from this upload (<code>mucca-source_code</code> folder):</p> <ul> <li>Miler2, the core of MUCCA, including metamodels, importers, classification engine, etc.;</li> <li>MailPeek, our web application for the manual classification of email content;</li> <li>PetitIsland, our grammar to generate island parsers;</li> <li>PetitJava, the grammar of Java, which we implemented for PetitParser;</li> <li>PetitSTrace, our island parser for java stack traces.</li> </ul> <p>Note that, in order to make Miler2 run, you will also need the following external Smalltalk components: <a href="http://www.moosetechnology.org/">Moose</a>, <a href="http://www.glorp.org/">Glorp</a>, <a href="http://www.seaside.st/">Seaside</a>, TwoFlower, MetaDB, <a href="http://www.lukas-renggli.ch/blog/petitparser-1">PetitParser</a>.</p> <p>In addition, we make use of the <a href="http://www.cs.waikato.ac.nz/ml/weka/">Weka</a> workbench, for the machine learning tasks. You can download the two trained classifiers that compose MUCCA (<code>mucca-classifiers</code> folder): Naive Bayes based classifier (<code>classifier1-nb.model</code>), Decision Tree based classifier (<code>classifier2-dt.model</code>).</p> <p>Alternatively, we created a <a href="http://www.virtualbox.org/">VirtualBox</a> image with a pre-configured VisualWorks environment, which includes all the MUCCA components, and pre-requisites (both Smalltalk and Java): <code>MUCCA.ova</code> (Both user and password are <code>muccauser</code>).</p> <p> </p> <p><strong>2. Benchmark</strong></p> <p>To train machine-learning classifiers and evaluate the effectiveness of the different approaches, we <strong>manually</strong> create a benchmark, in which emails are classified at character granularity.</p> <p>Given the time and effort needed to create such a benchmark, we humbly think it is a valuable contribution to the community. With the help of this benchmark, other researchers can reproduce our experiments and devise new classification methods, which can be immediately compared to ours.</p> <p>You can download the dataset from the <a href="https://github.com/ilredeitopi/mucca-dataset">GitHub repository</a> (a dump of the GitHub repository is uploaded here (<code>benchmark/githubDump.zip</code>), or download the full database dump in PostgreSQL format (<code>benchmark/benchmarkDump.tar.bz2</code>).</p>
Supplementary Material for "Formal methods in dependable systems engineering: a survey of professionals from Europe and North America"
<p>This report contains supplemental material for <a href="https://link.springer.com/article/10.1007%2Fs10664-020-09836-5">this paper</a>, including a detailed analysis of responses to certain questions, further visualizations of the collected data, details on our analysis of related work, and a copy of the whole questionnaire. This material was shared for the period of peer review and has been significantly updated, extended, and included in <a href="https://link.springer.com/article/10.1007%2Fs10664-020-09836-5">this journal publication</a>.</p>
Supplementary material for "Palaeo-demographic modelling supports a population bottleneck during the Pleistocene-Holocene transition in Iberia"
<p>This Supplementary material encompasses the archaeological radiocarbon dates for the Iberian Peninsula analyzed in the article “<em>Palaeo-demographic modelling supports a population bottleneck during the Pleistocene-Holocene transition in Iberia</em>". Specifically:</p> <ul> <li>‘<strong>PALEODEM_dataset.csv</strong>’ provides the dataset in comma-separated format. Contains the compiled raw data of each radiocarbon date used by every analytical procedure.</li> <li>‘<strong>PALEODEM_sites.xlsx</strong>’ is a spreadsheet containing the basic information of each archaeological site analyzed in this work. The columns include ID_site, name of Archaeological site, n<sup>o</sup> of <sup>14</sup>C dates, n<sup>o</sup> of assemblages, Regional Unit of correspondence, and bibliographical Reference.</li> <li>‘<strong>REFERENCES for PALEODEM_sites.docx</strong>’ is a text archive that collects the bibliographical references listed in the above mentioned ‘Reference’ column, that have been the main sources of archaeological information.</li> </ul>
Evaluation of Materials for Asphalt Mixture Performance, Semi-Circular Bend Laboratory Tests
<p>A study was conducted to evaluate the repeatability of the Flexibility Index of asphalt mixtures obtained according to AASHTO TP-124-16. Three asphalt concrete samples were mixed and compacted using the Superpave Gyratory Compactor in one laboratory. The samples were then cut to specific dimensions for semi-circular bend testing based on the AASHTO Specifications at a single laboratory using a dedicated cutting equipment. The samples were randomized and distributed equally among three different testing labs.</p> <p>The process was repeated three times and in some instances the rate of loading was varied.</p> <p>This experiment allowed to study the repeatability of the the Flexibility Index</p>
Evaluation of Materials for Asphalt Mixture Performance, Semi-Circular Bend Field Material
<p>The data contained herein is part of a study conducted with support from the Utah Department of Transportation. In the study, seven asphalt mixtures from across the state of Utah were collected at the plant (prior to delivery) and at laydown (prior to compaction). The mixtures were sealed in metal containers and brought to three different laboratories where the asphalt mixtures were compacted using a Superpave gyratory compactor into cylinders. Each cylinder was cut using a masonry saw to create semi-circular samples with a notch in the middle based on the specification from AASHTO T124-16. The samples were tested following the procedures outlined in the specification with some exceptions where the loading rate was changed. The results were used to developed specification limits.</p>
Replication Data for: Probing magnetism in 2D materials at the nanoscale with single spin microscopy
<p>Data repository for: <strong>Probing magnetism in 2D materials at the nanoscale with single spin microscopy</strong></p> <p><em>Data description.pdf </em>describes the uploaded data.<br> <em>Data.xlsx</em> is the data represented in the paper.<br> <em>MzFromBNV.m</em>, <em>kvalues.m</em>, <em>NVZeemanShiftFromMagnetizedSampleEdge.m</em> are Matlab code files used to transform and fit the data.</p> <p> </p>
Edward FitzGerald Life and Letters – Analysis of books and other material
<p>These files form part of an archive of research material relating to the Life and Letters of Edward FitzGerald. The data have been compiled by independent researchers W H (Bill) Martin and Sandra Mason; their contact details are below. The files comprise a number of searchable listings of information about FitzGerald’s letters and other aspects of his life. The information formed input to a book on Edward FitzGerald which is referenced below.</p> <p>This section of the archive contains three databases relating to FitzGerald’s library of books and other literary papers. The first of these, <em>efgbooks</em>, lists books known to have been in his possession from catalogues of sales of his effects after his death and a listing made by John Glyde (see references below). The second database, <em>efgtrinitycatal</em>, documents the holdings of books and other material owned by FitzGerald that are currently held in the Library of Trinity College, Cambridge. The third database, <em>efgtrinitydetail</em>, provides further details of the elements in the Trinity College FitzGerald holdings that we examined in more detail. An explanatory README text file contains tables showing the fields included in the databases and giving definitions of them and of the codings used where relevant. </p>
EOSCpilot D3.7 Updates to Policy Supporting Services: supporting material for the Monitor
<p>This is to support use cases of the Monitor section of EOSCpilot D3.7 Updates to Policy Supporting Services.</p>
Datasets and Supporting Materials for the IPIN 2017 Competition Track 3 (Smartphone-based, off-site)
<p>This package contains the datasets and supplementary materials used in the IPIN 2017 Competition (Sapporo, Japan).</p> <p><strong>Contents:</strong></p> <ol> <li>Track3_LogfileDescription_and_SupplementaryMaterial.pdf: Description of the logfiles and supplemental materials.</li> <li>Track3_TechnicalAnnex.pdf: Technical annex describing the competition </li> <li>01-Logfiles: This folder contains a subfolder with the 25 training logfiles, a subfolder with the 9 validation logfiles, and a subfolder with the 7 blind evaluation logfiles as provided to competitors.</li> <li>02-Supplementary_Materials: This folder contains the Matlab/Octave parser, the raster maps, the visualization of the training routes and the location of the BLE beacon (CAR) and some Wi-Fi APs (UJIUB).</li> <li>03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on the 505 evaluation points. The ground truth is also provided in MatLab format and as a CSV file. Since the results must be provided with a 2Hz freq. starting from apptimestamp 0, the GT includes the closest timestamp matching the timing provided by competitors.</li> </ol> <p><strong>Please, cite the following works when using the datasets included in this package:</strong></p> <ul> <li>Torres-Sospedra, J.; Jiménez, A. R.; Moreira, A.; Lungenstrass, T.; Lu, W.-C.; Knauth, S.; Mendoza-Silva, G.M.; Seco, F.; Perez-Navarro, A.; Nicolau, M.J.; Costa, A.; Meneses, F.; Farina, J.; Morales, J.P.; Lu, W.-C.; Cheng, H.-T.; Yang, S.-S.; Fang, S.-H.; Chien, Y.-R. and Tsao, Y. Off-line evaluation of mobile-centric Indoor Positioning Systems: the experiences from the 2017 IPIN competition Sensors Vol. 18(2), 2018. <a href="http://dx.doi.org/10.3390/s18020487">http://dx.doi.org/10.3390/s18020487</a></li> <li>Jimenez, A.R.; Mendoza-Silva, G.M.; Seco, F.; Torres-Sospedra, J. Datasets and Supporting Materials for the IPIN 2017 Competition Track 3 (Smartphone-based, off-site). <a href="http://dx.doi.org/10.5281/zenodo.2823924">http://dx.doi.org/10.5281/zenodo.2823924</a> </li> </ul> <p><strong>Additional information can be found at:</strong></p> <ul> <li><a href="http://evaal.aaloa.org/2017/2017-competition-home">http://evaal.aaloa.org/2017/2017-competition-home</a></li> <li><a href="http://indoorloc.uji.es/ipin2017track3/">http://indoorloc.uji.es/ipin2017track3/</a></li> </ul> <p><strong>For any further questions about the database and this competition track, please contact: </strong></p> <ul> <li>Joaquín Torres (<a href="mailto:jtorres@uji.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)">jtorres@uji.es</a>) Institute of New Imaging Technologies, Universitat Jaume I, Spain. </li> <li>Antonio R. Jiménez (<a href="mailto:antonio.jimenez@csic.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)">antonio.jimenez@csic.es</a>) Center of Automation and Robotics (CAR)-CSIC/UPM, Spain. </li> </ul> <p><br> </p>
Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site)
<p>This package contains the datasets and supplementary materials used in the IPIN 2018 Competition (Nantes, France).</p> <p><strong>Contents:</strong></p> <ol> <li>IPIN2018_CallForCompetition_v2.1: Call for competition including the technical annex describing the competition </li> <li>01-Logfiles: This folder contains a subfolder with the 22 training logfiles, a subfolder with the 15 (13 + 2) validation logfiles, and a subfolder with the 1 blind evaluation logfile as provided to competitors.</li> <li>02-Supplementary_Materials: This folder contains the Matlab/octave parser, the raster maps, the vector maps and the visualization of the training routes.</li> <li>03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on the 99 evaluation points. The ground truth is also provided in MatLab format and as a CSV file. Since the results must be provided with a 2Hz freq. starting from apptimestamp 0, the GT includes the closest timestamp matching the timing provided by competitors.</li> <li>03-Evaluation_alternative: This folder contains the alternative scripts used to calculate the competition metric, the 75th percentile on the 99 evaluation points. This version is compatible with MatLab and Octave and does not require any toolbox. In some cases, the differences in the reported errors might be around 10 cm with respect to the script used in the competition. The ground truth is also provided in MatLab format and as a CSV file. Since the results must be provided with a 2Hz freq. starting from apptimestamp 0, the GT includes the closest timestamp matching the timing provided by competitors.</li> </ol> <p><strong>Please, cite the following works when using the datasets included in this package:</strong></p> <ul> <li>Jimenez, A.R.; Mendoza-Silva, G.M.; Ortiz, M.; Perez-Navarro, A.; Perul, J.; Seco, F.; Torres-Sospedra, J. Datasets and Supporting Materials for the IPIN 2018 Competition Track 3 (Smartphone-based, off-site). <a href="http://dx.doi.org/10.5281/zenodo.2823964">http://dx.doi.org/10.5281/zenodo.2823964</a></li> <li>Renaudin, V.; Ortiz, M.; Perul, J.; Torres-Sospedra, J.; Ramón Jimenez, A.; Pérez-Navarro, A.; Martín Mendoza-Silva, G.; Seco, F.; Landau, Y.; Marbel, R.; Ben-Moshe, B.; Zheng, X.; Ye, F.; Kuang, J.; Li, Y.; Niu, X.; Landa, V.; Hacohen, S.; Shvalb, N.; Lu, C.; Uchiyama, H.; Thomas, D.; Shimada, A.; Taniguchi, R.; Ding, Z.; Xu, F.; Kronenwett, N.; Vladimirov, B.; Lee, S.; Cho, E.; Jun, S.; Lee, C.; Park, S.; Lee, Y.; Rew, J.; Park, C.; Jeong, H.; Han, J.; Lee, K.; Zhang, W.; Li, X.; Wei, D.; Zhang, Y.; Park, S. Y.; Park, C. G.; Knauth, S.; Pipelidis, G.; Tsiamitros, N.; Lungenstrass, T.; Pablo Morales, J.; Trogh, J.; Plets, D.; Opiela, M.; Shih-Hau Fang Tsao, Y.; Chien, Y.-R.; Yang, S.-S.; Ye, S.-J.; Ali, M. U.; Hur, S.; and Park, Y. Evaluating Indoor Positioning Systems in a Shopping Mall: The Lessons Learned from the IPIN 2018 Competition IEEE Access Vol. 7, pp. 148594-148628, 2019. http://dx.doi.org/10.1109/ACCESS.2019.2944389</li> </ul> <p><strong>Additional information can be found at:</strong></p> <ul> <li><a href="http://evaal.aaloa.org/2018/call-for-competitions">http://evaal.aaloa.org/2018/call-for-competitions</a></li> <li><a href="http://ipin-conference.org/2018/ipincompetition/">http://ipin-conference.org/2018/ipincompetition/</a></li> </ul> <p><strong>For any further questions about the database and this competition track, please contact: </strong></p> <ul> <li>Joaquín Torres (<a href="mailto:jtorres@uji.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)">jtorres@uji.es</a>) Institute of New Imaging Technologies, Universitat Jaume I, Spain. </li> <li>Antonio R. Jiménez (<a href="mailto:antonio.jimenez@csic.es?subject=IPIN%202016%20Competition%20Dataset%20(Zenodo)">antonio.jimenez@csic.es</a>) Center of Automation and Robotics (CAR)-CSIC/UPM, Spain. </li> </ul>
Research data for: Preventing the coffee-ring effect and aggregate sedimentation by in situ gelation of monodisperse materials
<p>Raw data for the publication: Preventing the coffee-ring effect and aggregate sedimentation by in situ gelation of monodisperse materials</p>
Supplementary material to the manuscript: Regionalised Heat Demand and Power-To-Heat Capacities in Germany - An Open Data Set for Assessing Renewable Energy Integration
<p>This is the supplementary material for the manuscript:</p> <p>"Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration"</p> <p>Article DOI: <a href="https://doi.org/10.1016/j.apenergy.2019.114161">https://doi.org/10.1016/j.apenergy.2019.114161</a></p> <p>Open access preprint: <a href="https://arxiv.org/abs/1912.03763">https://arxiv.org/abs/1912.03763</a></p> <p> </p> <p><strong>DESCRIPTION OF THE DATASET AND LICENSES:</strong></p> <p>The subdirectory "04_results" contains the regionalised heat demand an power-to-heat capacity data on administrative district level (NUTS-3) for Germany. The subdirectories "01_census_special_evaluation_data" and "02_other_input_data" contain the utilised input data. The subdirectory "03_code" contains the developed and applied source code.</p> <p>The data in this repository are provided under open source licenses. For license information and other general information on the supplementary material, refer to the LICENSE files and README files in the respective subdirectories.</p> <p>For a detailed description of the approach developed by the author, the input data used and the generated results, refer to the manuscript "Regionalised Heat Demand and Power-To-Heat Capacities in Germany - an Open Data Set for Assessing Renewable Energy Integration".</p> <p><strong>METADATA:</strong></p> <p>Sector: Residential Buildings – Space Heating and Domestic Hot Water</p> <p>Geographical scope: Germany</p> <p>Geographical resolution: Administrative districts (NUTS-3)</p> <p>Temporal scope: 2011, three scenarios for 2030</p> <p>Temporal resolution: 15min</p> <p> </p> <p><strong>UNITS:</strong></p> <p>In the final results folders (04_results/01_installed_heating_p2h_capacity; 04_results/02_daily_time_series; 04_results/03_yearly_time_series) the units of the data are indicated in the file names or the column names, e.g. by "in_MW". In case of unit indication in the file name, the unit refers to all columns in the file.</p> <p>In the intermediate results folder (04_results/00_sql_tables_exported_to_csv) all units referring to power are "kW" and all units referring to energy are "kWh".</p> <p><strong>NEWS AND CONTACT:</strong></p> <p>This dataset will be used as part of the <a href="https://wiki.openmod-initiative.org/wiki/Region4FLEX">region4FLEX model</a>. We are currently enhancing the data by temporally and spatially resolved COP time series and determining load shifting potentials. If you wish to receive news or have general questions please contact: wilko.heitkoetter@dlr.de. </p>
Redox paradox of vanadium in Tavorite LiVPO4F1-yOy : supplementary materials
<p>Vanadyl-type defects in vanadium oxy-fluoride phosphates confer interesting properties to these materials as positive electrodes in Li-ion or Na-ion batteries... <strong>List figures :</strong></p> <p><strong>2019-122-SM-FIGS1 :</strong> <strong>(a)</strong> Comparison of the SXRPD patterns obtained for the pristine LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> material <em>in situ</em>, in the electrochemical cell, (blue) and in a sealed capillary (black). The symbols mark peaks not belonging to the LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> phase (originating from lithium metal, beryllium, aluminum, PTFE, separator and Li<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> impurity). The grey areas represent the excluded 2θ regions for Rietveld refinement. <strong>(b)</strong> Comparison between voltage profiles obtained <em>in situ </em>in electrochemical cells during the XRD and XAS experiments and in coin cells. The small features seen at 3.7 and 4.1V originate from the Li<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> impurity.</p> <p><strong>2019-122-SM-FIGS2 :</strong> Rietveld refinement of (a) LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> and (b) Li<sub>0.45</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub>, the PTFE contribution is represented by *. For (b) two phases are required to fit the pattern: LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (91(1) w%, blue markers) and Li<sub>0.25</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (9(1) w% brown markers).</p> <p><strong>2019-122-SM-FIGS3 :</strong> Rietveld refinement of the last pattern obtained <em>operando</em> after Lithium deintercalation from LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (#126, corresponding to an overall composition of Li<sub>0.2</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub>): the refinement was performed considering a mixture of 3 phases, Li<sub>0.45</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (orange), Li<sub>0.25</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (brown) and VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (red), with their contributions being of 17(1), 58(1) and 25(1) wt.%, respectively. The peak highlighted by # corresponds to the LiV<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub> impurity (<em>i.e.</em> delithiated form of Li<sub>3</sub>V<sub>2</sub>(PO<sub>4</sub>)<sub>3</sub>). For the refinement, the profile and the atomic position of the secondary phases (i.e. LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55 </sub>and VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub>) have been fixed based on their individual refinements (i.e. pattern #86 and <em>ex situ fully charged </em>pattern) whereas the cell parameters, profile and atomic positions of Li<sub>0.25</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55 </sub>have been refined independently.</p> <p><strong>2019-122-SM-FIGS4 : (a)</strong> SXRPD patterns obtained <em>operando</em> during lithium extraction from LiVPO<sub>4</sub>F<sub>0.25</sub>O<sub>0.75</sub>, <strong>(b)</strong> Selected SXRPD patterns at specific compositions.</p> <p><strong>2019-122-SM-FIGS5 : </strong>Evolution of the volume changes for each Li<sub>x</sub>VPO<sub>4</sub>F<sub>1-y</sub>O<sub>y</sub> sample as function of x during the first step of the charge (i.e. until Δx = y).</p> <p><strong>2019-122-SM-FIGS6 : (a)</strong> The evolution of the pre-edge intensity (obtained by integration of the signal from 5464 to 5474 eV) and the edge position (taken at half jump) upon cycling.<strong> (b)</strong> The variance plot justifying the use of three components.</p> <p><strong>2019-122-SM-FIGS7 : (a)</strong> V K-edge XANES spectra of several Tavorite-type references: LiV<sup>III</sup>PO<sub>4</sub>F (black line), LiV<sup>IV</sup>PO<sub>4</sub>O (grey line), V<sup>IV</sup>PO<sub>4</sub>F (orange line) and V<sup>V</sup>PO<sub>4</sub>O (red line) and LiVPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> (purple line). <strong>(b)</strong> The enlargement of the pre-edge region with the typical energy position of each pre-edge contributions (<em>i.e.</em> F-V<sup>3+</sup>O<sub>4</sub>-F, O=V<sup>4+</sup>O<sub>4</sub>—O and O=V<sup>5+</sup>O<sub>4</sub>—O)</p> <p><strong>2019-122-SM-FIGS8 : </strong>Magnitude of the Fourier transforms of the reconstructed components obtained by MCR-ALS (k-range: 2.7-12.7 Å<sup>-1</sup>, sine window). Li<sub>x</sub>VPO<sub>4</sub>F<sub>0.45</sub>O<sub>0.55</sub> with x = 1, 0.45 and 0 respectively for components #1, #2 and #3. The black lines represent the fit done in the R space (R range: 1.0 – 2.05 Å, dR = 0.1 Å, sine window).</p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p> <p> </p>
ScienceDex guides
Understand access before you commit
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.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
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.