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12,393 results for “materiality”
Figure S7 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S7 (lef). Fractions of filtered reads per sample.
Figure S9 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S9 (lef). Numbers of genes recovered with at least 75% of the target length per sample.
Figure S6 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S6 (lef). Fractions of duplicated reads per sample.
Figure S11 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S11 (lef). Numbers of nucleotide sites per alignment.
Figure S5 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S5. Overview of species tree inference workflow with PhyloBayes.
Figure S4 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S4. Overview of species tree inference workflow with RAxML.
Figure S1 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S1. Overview of the data cleaning and target assembly workflow.
Figure S2 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S2. Overview and results of the orthology assessment workflow.
Figure S35 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S35. Mimosoid taxon and genus richness per half degree latitude/longitude grid cell.
Figure S3 in Supplementary Materials for Precipitation is the main axis of tropical plant phylogenetic turnover across space and time
Figure S3. Overview of species tree inference workflow with ASTRAL-3.
Sonata For Cassiopeia - Audio Material
<p>A parameter mapping musification study for piano and stars.</p>
Supplementary materials of the paper entitled: "Seeking Value in Extending a Requirements-Based Testing Method"
<p>Supplementary materials of the paper entitled:<br> “Seeking Value in Extending a Requirements-Based Testing Method”</p> <p>file00 - Readme.txt<br> file01 - Feature test analysis results (FeatureTestsAnalysis.xlsx)<br> file02 - Webex March 2023 feature descriptions (Webex-March-2023-Features.pdf)<br> file03 - Webex feature testing results (Webex-March-2023-FeatureTestingResults.pdf)</p>
Supplementary materials of the paper entitled: "Seeking Value in Extending a Requirements-Based Testing Method"
<p>Supplementary materials of the paper entitled:<br> “Seeking Value in Extending a Requirements-Based Testing Method”</p> <p><br> file01 - Feature test analysis results (FeatureTestsAnalysis.xlsx)<br> file02 - Webex March 2023 feature descriptions (Webex-March-2023-Features.pdf)<br> file03 - Webex feature testing results (Webex-March-2023-FeatureTestingResults.pdf)</p>
Supplementary Material for Men's Perceptions of Gender Inequality in Software Engineering
<p><strong>README</strong></p> <p>This repository contains supplementary materials for the paper titled "<em>Do you see what happens around you? Men's Perceptions of Gender Inequality in Software Engineering".</em></p> <p>The data in this repository originates from a survey conducted with men technology practitioners, focusing on their experiences within the industry and their perceptions of gender inequality within their teams and workplaces.</p> <p>The survey was administered using Microsoft Forms, allowing practitioners to respond to the questionnaire asynchronously, anonymously, and without supervision.</p> <p>The organization of this repository is as follows:</p> <ol> <li><em><code>charts.Rmd</code>:</em> This file contains R scripts used to generate the figures that present quantitative data in the manuscript.</li> <li><em><code>Q<strong>x</strong>.png</code></em>: These images are the figures generated by the <code>charts.Rmd</code> script.</li> <li><em><code>responses.csv</code></em>: This file contains complete and detailed responses to the questionnaire submitted by participants.</li> <li><em><code>responses_coding.xlsx</code></em>: Within this sheet, you will find the results of the coding process conducted using the Grounded Theory methodology.</li> <li><em><code>survey_questions_english.pdf</code></em>: This document contains a faithful translation of the questionnaire sent to the participants.</li> </ol> <p> </p>
Where are we now with European forest multi-taxon biodiversity and where can we head to? - Supplementary Material
<p>Supplementary material of the paper "WHERE ARE WE NOW WITH EUROPEAN FOREST MULTI-TAXON BIODIVERSITY AND WHERE CAN WE HEAD TO?"</p>
Supplementary materials for Detrital garnet geochronology by in-situ U-Pb and Lu-Hf analysis: A case study from the European Alps
<p>Figure S2. Interactive 3D version of Fig.2 from main text, using the same symbology. To open, unzip folder and launch the .xhtml file in any internet browser. Use scroll wheel to zoom, left-click and drag to rotate.</p> <p><br> Table S1. Analytical parameters for garnet U-Pb and Lu-Hf analysis.</p> <p><br> Table S2. Isotopic and trace-element data.</p> <p><br> Table S3. Raman data.</p>
Supplementary Materials for WEPA101
<p>This archive contains data and supporting material for submission WEPA101 to IPAC23 proceedings.</p> <p>Subdirectory 03_warpx_training/ contains material for the first example of the article, a laser-plasma accelerator stage. Within 03_warpx_training/ are the two simulation setups, 17_1pC_2stage/ and 19_1_pC_2_beam_center_beam2_pz/. The first contains the necessary material to compute the WarpX simulation we desire to model. The second contains the necessary material to generate the training data using WarpX, as well as Jupyter notebooks for creating and training the neural networks</p> <p>Subdirectory iota_channel/ contains material for generating ImpactX simulations of the focusing channel based on the IOTA nonlinear lattice as well as creating and training neural networks to learn the dynamics of the focusing channel based on the IOTA lattice</p> <p>Subdirectory machine_learning_utilities/ contains helper functions for generating, training, and analyzing neural networks</p> <p>See the readme.md for more information</p>
The contribution of Fe(III) reduction to soil carbon mineralization in montane meadows depends on soil chemistry, not parent material or microbial community
<p>The long-term stability of soil carbon (C) is strongly influenced by organo-mineral interactions. Iron (Fe)-oxides can both inhibit microbial decomposition by providing physicochemical protection for organic molecules and enhance rates of C mineralization by serving as a terminal electron acceptor, depending on redox conditions. Restoration of floodplain hydrology in montane meadows has been proposed as a method of sequestering C for climate change mitigation. However, dissimilatory microbial reduction of Fe(III) could lead to C losses under increased reducing conditions. In this study, we explored variations in Fe-C interactions over a range of redox conditions and in soils derived from two distinct parent materials to elucidate biochemical and microbial controls on soil C cycling in Sierra Nevada montane meadows. Differences in parent material were associated with different rates of Fe(III) reduction at increasing soil moisture levels, but not with differences in soil C mineralization. Known Fe(III)-reducing taxa were present in all samples but neither the relative abundance nor richness of Fe(III) reducers corresponded with measured rates of Fe(III) reduction. Under reducing conditions, our results suggest that Fe(III) reduction contributes to C mineralization only when Fe-bound C is present. However, Fe-bound C was not present in all of our soils and was below theoretical limits for C sorption onto Fe-oxides where it was found. Overall, our results suggest that meadow-specific soil chemistry drives Fe-C interactions and that the impact of Fe on C cycling in montane meadows may be smaller than in other ecosystems.</p>
Supplementary material for the ITP'23 article "Lessons for Interactive Theorem Proving Researchers from a Survey of Coq Users"
<p>This artifact contains the supplementary files for the ITP'23 article "Lessons for Interactive Theorem Proving Researchers from a Survey of Coq Users". More specifically, it contains:</p> <ul> <li>the Limesurvey structure exported file (<code>Limesurvey/survey-structure.lss</code>);</li> <li>the HTML print of the survey in English and Chinese (<code>Limesurvey/questionnaire_english.html</code> and <code>Limesurvey/questionnaire_chinese.html</code>);</li> <li>the Jupyter notebook (<code>Coq-survey-analysis.ipynb</code>) and the Stata code (<code>regressions/Regressions_and_Romano-Wolf.do</code>) that were used to produce the results;</li> <li>the plots for the answers to all the closed questions, as well as plots for some interactions between answers to multiple closed questions in <code>png</code> and <code>svg</code> formats (<code>assets/</code>);</li> <li>manual analysis of some open text questions (<code>coded_answers/</code>);</li> <li>answers to open text questions (<code>open_answers/</code>).</li> </ul> <p>This artifact does <em>not</em> contain the full raw data from the survey. These data have been deleted, following the GDPR compliance statement that was displayed at the beginning of the survey. The open text answers that are made available through this artifact have been sanitized to remove any personally identifiable element.</p> <p>File listing</p> <ul> <li>README.md: this README</li> <li>Limesurvey <ul> <li>questionnaire_english.html: survey HTML print in English</li> <li>questionnaire_chinese.html: survey HTML print in Chinese</li> <li>survey-structure.lss: Limesurvey structure export</li> </ul> </li> <li>Coq-survey-analysis.ipynb: Jupyter notebook used to produce plots</li> <li>regressions <ul> <li>Regressions_and_Romano-Wolf.do: Stata code used to do the regressions appearing in the article</li> </ul> </li> <li>assets <ul> <li>many <code>png</code> and <code>svg</code> files for plots showing quantitative results</li> </ul> </li> <li>coded_answers <ul> <li>renaming.md: manual analysis of the answers to the open text question "If you wish to elaborate on why Coq should / should not be renamed, feel free to do it here."</li> <li>renaming_choices.md: manual analysis of the answers to the open text question "If you wish to share any specific arguments in favor or against some specific name choices, please do so here."</li> <li>contributing_experience.csv: answers to the open text question "Feel free to elaborate on the contributing experience, what we can do better, or why you do not contribute." with manual analysis</li> <li>doc_improvements-grouped.docx manual analysis of the answers to the open text question "Feel free to elaborate on any of the items listed above, their importance, etc. Are there other improvements that you think would be important?" (in the context of a question on "How important are improvements to the following aspects of the Coq documentation?")</li> </ul> </li> <li>open_answers: Each table has been reordered and has a different indexing, so relating answers from different tables is not possible. Furthermore, answers have been checked and sanitized to remove any personally identifiable elements. <ul> <li>ci_feedback.csv: answers to the question "If you have general feedback on CI in the Coq ecosystem, feel free to share it here." Also shared at: <a href="https://github.com/coq-community/manifesto/issues/141">https://github.com/coq-community/manifesto/issues/141</a></li> <li>contributing_experience.csv: answers to the question "Feel free to elaborate on the contributing experience, what we can do better, or why you do not contribute."</li> <li>coqide_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in CoqIDE?" Also shared at: <a href="https://github.com/coq/coq/issues/16580">https://github.com/coq/coq/issues/16580</a></li> <li>coq_improvements.csv: answers to the question "Feel free to elaborate on any of the items listed above, their importance, etc. Are there other improvements that you think would be important? Also, feel free to tell us how Coq does compared to other proof assistants you have experience with." (in the context of a question on "In order to make you more productive in Coq and to encourage others to learn and use Coq, how important are improvements in the following areas?")</li> <li>coqtail_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in Coqtail?" Also shared at: <a href="https://github.com/whonore/Coqtail/issues/277">https://github.com/whonore/Coqtail/issues/277</a></li> <li>distracting_company_coq_features.csv</li> <li>doc_improvements.csv: answers to the question "Feel free to elaborate on any of the items listed above, their importance, etc. Are there other improvements that you think would be important?" (in the context of a question on "How important are improvements to the following aspects of the Coq documentation?")</li> <li>extraction_targets.csv: answers to the question "If you're interested in new extraction targets, which languages do you want?" Also analyzed quantitatively in: assets/extraction-targets-barplot.png</li> <li>jscoq_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in jsCoq?" Also shared at: <a href="https://github.com/jscoq/jscoq/issues/261">https://github.com/jscoq/jscoq/issues/261</a></li> <li>jupyter_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in coq_jupyter?" Also shared at: <a href="https://github.com/EugeneLoy/coq_jupyter/issues/46">https://github.com/EugeneLoy/coq_jupyter/issues/46</a></li> <li>jupyter_support.csv: answers to the question "Have you had any issues or lack of support for coq_kernel for any service? If so, feel free to share here." Also shared at: <a href="https://github.com/EugeneLoy/coq_jupyter/issues/46">https://github.com/EugeneLoy/coq_jupyter/issues/46</a></li> <li>languages.csv: answers to the question "What languages would be the most useful to support?" Also analyzed quantitatively in: assets/languages-barplot.png</li> <li>learning_experience.csv: answers to the question "How was your experience while learning Coq? For example, what were the easiest and/or most difficult parts of the process? Do you have suggestions to improve the experience?"</li> <li>proof_general_customizations.csv: answers to the question "Do you use specific customizations or fixups of Proof General or Company-Coq (in your ~/.emacs)? If yes, briefly speaking, what are these customizations and would you like to have some of them applied by default?" Also shared at: <a href="https://github.com/ProofGeneral/PG/issues/671">https://github.com/ProofGeneral/PG/issues/671</a></li> <li>proof_general_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in Proof General?" Also shared at: <a href="https://github.com/ProofGeneral/PG/issues/671">https://github.com/ProofGeneral/PG/issues/671</a></li> <li>renaming.csv: answers to the question "If you wish to elaborate on why Coq should / should not be renamed, feel free to do it here."</li> <li>renaming_choices.csv: answers to the question "If you wish to share any specific arguments in favor or against some specific name choices, please do so here."</li> <li>survey_issues.csv: answers to the question "Did you encounter any issues with the survey that you'd like to report or do you have other feedback that we should hear about?"</li> <li>vim_compatibility.csv: answers to the question "What Vim / NeoVim features or plugins would you like to have better integrated with Coqtail? " Also shared at: <a href="https://github.com/whonore/Coqtail/issues/277">https://github.com/whonore/Coqtail/issues/277</a></li> <li>vscoq_improvements.csv: answers to the question "What improvements, bug fixes and new features would you most like to see in VsCoq?" Also shared at: <a href="https://github.com/coq-community/vscoq/issues/308">https://github.com/coq-community/vscoq/issues/308</a></li> </ul> </li> </ul>
Alternative Supplementary Cementitious Materials in Ultra-High Performance Concrete
<p>Ultra-high performance concrete (UHPC) is an emerging material with remarkable mechanical and durability properties that contains large amounts of cementitious materials. Silica fume is a main supplementary cementitious material (SCM) in UHPC, however, it is more expensive than cement and other SCMs, so it is often substituted with inexpensive class F fly ash. Unfortunately, future availability of fly ash is uncertain as the energy industry moves toward renewable energy. Fly ash shortages create an urgent need to find cost-effective and environmentally-friendly alternatives for fly ash. This study investigated replacing cement, fly ash, and silica fume in UHPC mixtures with ground granulated blast-furnace slag (GGBFS), metakaolin, and a natural pozzolan (pumicite). To identify acceptable UHPC mixtures (28-day compressive strength greater than 17,000 psi [120 MPa]), workability, compression, and flexural tests were conducted on all mixtures. Then, durability properties including shrinkage, frost resistance, and chloride ion permeability (rapid chloride permeability and surface resistivity tests) were evaluated for the acceptable UHPC mixtures. Results showed that 75, 100, and 40% of the fly ash in the control mixture could be replaced with pumicite, metakaolin, and GGBFS, respectively, while still producing acceptable UHPC mixtures. Flexural strengths were greater than 2000 psi (13.80 MPa) for all mixtures, which should be considered acceptable for many UHPC applications. For durability, the UHPC mixtures had shrinkage strains no greater than 406 mstrain, durability factors of at least 105, and “very low” susceptibility to chloride ion penetration. These results indicate that the durability for all of the UHPC mixtures appears to be excellent. In general, the results indicate that pumicite, metakaolin, and GGBFS are all suitable candidates to replace most or all fly ash and potentially replace some silica fume in UHPC.</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.