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8 results for “original manuscript”
Supplemental datafiles for the manuscript "On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland"
<p>Files to accompany the submission of the manuscript <strong>"On the origin of seismic anisotropy in the shallow crust of the Northern Volcanic Zone, Iceland" </strong>to the Journal of Geophysical Research: Solid Earth.<br> <br> <strong>File 1: </strong>conorbacon_ds01.inp - Input file for Coulomb</p> <p><strong>File 2: </strong>conorbacon_ds02.txt - Shear-wave splitting results file</p> <p> </p>
Original Data for Manuscript "Energy and Momentum Distribution of Surface Plasmon-induced Hot Carriers Isolated via Spatiotemporal Separation"
<p>Raw data of the time-dependent energy density calculation and time-resolved photoemission electron microscopy (TR-PEEM) measurements used in the manuscript.</p> <p>A preprint of the manuscript is available on arXiv: <a href="https://arxiv.org/abs/2107.14277">2107.14277</a></p> <p>The manuscript was published in <em>ACS Nano</em> 2021, 15, 12, 19559-19569 <a href="https://doi.org/10.1021/acsnano.1c06586">10.1021/acsnano.1c06586</a></p> <p>The data is provided in hdf5 files, which were produced using the snomtools python package (<a href="https://github.com/hartelt/snomtools">availale on github</a>) and can be read with any <a href="https://support.hdfgroup.org/HDF5/tools5desc.html">hdf5 compatible software</a>. The calculated data was produced as described in Ref.1 with the parameters given in the manuscript. For the experimental data, each zip file contains the raw data (hdf5 Files) as well as the PEEM settings used (sav Files as output from the experiment control software) for the respective measurement.</p> <p>Parts of the manuscript that are generated from the calculated data [calculation_energy_density.zip]:</p> <ul> <li>Figure 2 A</li> <li>Figure S2</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM real space dataset [PEEM_realspace.zip]:</p> <ul> <li>Figure 2 B</li> <li>Figure 3</li> <li>Figure S1</li> <li>Figure S3</li> <li>Figure S4</li> <li>Movie S2 [timeseries_binned_fermi.avi] in the supplementary material</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM momentum space (momentum microscopy) SPP dataset [PEEM_k-space_timesteps_SPP.zip]:</p> <ul> <li>Figure 4 (in combination with the pump pulse reference dataset)</li> <li>Figure S5 B</li> <li>Figure S6 B</li> <li>Figure S7 B</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM momentum space (momentum microscopy) pump pulse reference dataset [PEEM_k-space_timesteps_pump.zip]:</p> <ul> <li>Figure 4 (in combination with the SPP dataset)</li> <li>Figure S5 A</li> <li>Figure S6 A</li> <li>Figure S7 A</li> </ul> <p>Parts of the manuscript that are evaluated from the PEEM momentum space (momentum microscopy) data of the full timetrace, combining SPP dataset [PEEM_k-space_full-timetrace_SPP.zip] and pump pulse reference dataset [PEEM_k-space_full-timetrace_pump.zip]:</p> <ul> <li>Figure S8</li> </ul>
Supporting Information for the submitted manuscript by Rajič et al. The origin of tectonic mélanges and implication for the subduction interface processes
<p>Files shared here contain supporting information for the submitted manuscript by Rajič et al.</p> <p>Appendix 1 file contains Text A.1, Tables A.1-2 and Figures A.1-8.</p> <p>Appendix 2 file contains all raw Raman spectra acquired in this study, along with READ ME text file.</p>
Data set related to the manuscript "On the development of an original mesoscopic model to predict the capacitive properties of carbon-carbon supercapacitors"
<p>Graphical files in the agr format for all the figures in the main text of the manuscript entitled "On the development of an original mesoscopic model to predict the capacitive properties of carbon-carbon supercapacitors" (<a href="https://doi.org/10.1016/j.electacta.2019.135022">10.1016/j.electacta.2019.135022</a>).</p>
Data for manuscript "Prevalence in News Media of two Competing Hypotheses about COVID-19 Origins"
<p>The Covid-19 pandemic has been one of the most disruptive and painful phenomena of the last few decades. As of July 2021, the origins of the SARS-CoV-2 virus that caused the outbreak remain a mystery. This work analyzes the prevalence in news media articles of two popular hypotheses about SARS-CoV-2 virus origins: the natural emergence and the lab-leak hypotheses. </p> <p>This data set contains frequency counts of target words in news and opinion articles from 12 popular news media outlets. The target words are listed in the associated manuscript and are mostly words associated with the Covid-19 pandemic. </p> <p>The list of compressed files in this data set is listed next:</p> <p>targetWordsInArticlesCounts.rar contains counts of target words in outlets articles as well as total counts of words in articles</p> <p>targetWordsFrequencies.rar daily, weekly, monthly word frequencies</p> <p>wordEmbeddingModels.rar monthly embedding models of news outlets content</p> <p>analysisScripts.rar analysis notebooks</p> <p>The textual content of news and opinion articles from the outlets is available in the outlet's online domains and/or public cache repositories such as Google cache, The Internet Wayback Machine, and Common Crawl. We used derived word frequency counts from these sources. Textual content included in our analysis is circumscribed to articles headlines and main body of text of the articles and does not include other article elements such as figure captions.</p> <p>Targeted textual content was located in HTML raw data using outlet specific XPath expressions. Tokens were lowercased prior to estimating frequency counts. </p> <p>Yearly frequency usage of a target word in an outlet in any given temporal interval ( daily, weekly, monthly) was estimated by dividing the total number of occurrences of the target word in all articles of a given temporal interval by the number of all words in all articles of that temporal interval. This method of estimating frequency accounts for variable volume of total article output over time.</p> <p>In a small percentage of articles, outlet specific XPath expressions might fail to properly capture the content of the article due to the heterogeneity of HTML elements and CSS styling combinations with which articles text content is arranged in outlets online domains. As a result, the total and target word counts metrics for a small subset of articles are not precise. In a random sample of articles and outlets, manual estimation of target words counts overlapped with the automatically derived counts for over 90% of the articles. Most of the incorrect frequency counts are minor deviations from the actual counts such as for instance counting a word in an article footnote encouraging article readers to find related articles and that the XPath expression might mistakenly include as the content of the article main text. Some additional outlet-specific inaccuracies that we could identify occurred in the WSJ where in less than 5% of the articles XPath expressions failed to capture the article's main text content. Other outlets articles samples sizes might not be comprehensive but, to the best of our knowledge, they are representative and include tens of thousands of articles per outlet/year. To conclude, in a data analysis of over 1.5 million articles, we cannot manually check the correctness of frequency counts for every single article and hundred percent accuracy at capturing articles’ content is elusive due to the small number of difficult to detect boundary cases such as incorrect HTML markup syntax in online domains. Overall however, we are confident that our frequency metrics are representative of word prevalence in print news media content (see Figure 1 of main manuscript for supporting evidence).</p> <p> </p> <p> </p>
Citespace original data of manuscript
<p>Citespace original data of manuscript </p>
Original data for the manuscript "Distinct neurochemical influences on fMRI response polarity in the striatum
<p>Accompanying manuscript preprint can be found here: https://www.biorxiv.org/content/10.1101/2023.02.20.529283v1</p> <p><strong>Subfolders indicate data type(s)</strong><br> Rat fMRI data is organized by stimulation region and contains subfolders for raw data and processed data; group templates and ROI masks are provided in a separate folder.<br> Electrophysiology and voltammetry data have been processed and converted from proprietary data formats to columnar formats.<br> Photometry data have been minimally processed to correct for channel cross-talk and extract hemodynamic signal components.<br> Pharmacological fMRI data are presented as subject-level response maps and clusters, ROI masks, time course data, and extracted time course peaks.<br> Rat histological cell counting and mouse bright field vessel imaging data are included in manually processed (i.e., scored) format.<br> Human fMRI data is shared as preprocessed subject-level 3d+t scans and processed group-level z-score response maps.</p>
Original SEM images for the Manuscript: Postindustrial jute waste as a support for nano-carbon nitride photocatalyst: Influence of the chemical pretreatment
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