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12,393 results for “Materiality”
The effect of numerical aperture on quantitative use-wear studies and its implication on reproducibility [complement to Supplementary Material 3]
<p>Raw data, and RStudio project, R markdown scripts and HTML outputs of the statistical procedures.</p> <p>Instructions to download all files at once are given here: <a href="https://doi.org/10.5281/zenodo.4011952">https://doi.org/10.5281/zenodo.4011952</a></p>
Supplementary Material to "The Rosa genome provides new insights into the domestication of modern roses" publication.
<p>A dataset corresponding to GC-MS acquired targeted metabolite profiling in 6 rose cultivars and 3 plant parts, provided as supplementary material to the publication "The <em>Rosa</em> genome provides new insights into the domestication of modern roses" , which appeared in Nature Genetics <strong>volume 50</strong>, pages772–777 (2018) <a href="https://doi.org/10.1038/s41588-018-0110-3">(https://doi.org/10.1038/s41588-018-0110-3)</a>. The table in this upload was packaged in the following archive available from <a href="https://static-content.springer.com/esm/art%3A10.1038%2Fs41588-018-0110-3/MediaObjects/41588_2018_110_MOESM3_ESM.zip">https://static-content.springer.com/esm/art%3A10.1038%2Fs41588-018-0110-3/MediaObjects/41588_2018_110_MOESM3_ESM.zip</a></p>
Supplementary material for research article "Quantifying the risk mitigation efficiency of changing silvicultural systems under storm risk throughout history"
<p>This public repository contains mainly datasets generated and analyzed during the current study, closely linked to the research article "Quantifying the risk mitigation efficiency of changing silvicultural systems under storm risk throughout history". Furthermore, the repository contains additional figures and deep dives on the methodological background the research article was built on.</p>
Supplemental material to the paper: Incorporating epistemic uncertainty in the assessment of an existing masonry building through a Point Estimate Method
<p>This repository contains the meterials used to study numerically the effect of model uncertainties in the seismic assessment of a case-study stone masonry building. The simulations were run in the research version of the software <a href="http://www.tremuri.com/">Tremuri</a>. The repository contains input files, model results and the matlab code to reproduce the figures presented in the paper:</p> <blockquote> <p>Vanin F., Beyer K., "Incorporating epistemic uncertainty in the assessment of an existing masonry building through a Point Estimate Method", submitted for publication (2019)</p> </blockquote>
Training Materials and Guidelines
<p>Document collecting information about Eco-Binder project results including concrete, finishing materials and EcoBinder tool</p>
Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, 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 2 zip files.<br> - HKB08.zip : for sensors bias estimation.<br> - HKB82.zip : for trajectory estimation.<br> Each archive contains 4 files :<br> - HKBxx_mag.csv : magnetometer data<br> - HKBxx_sti.csv : inertial data<br> - HKBxx_ublox.ubx : GNSS data<br> - HKBxx_INFO.txt : info file<br> see page 16 of IPIN2018_CallForCompetition_v2.1.pdf for more details.</li> <li>02-Supplementary_Materials: This folder contains the datasheet files of the different sensors.</li> <li>03-Evaluation: This folder contains the scripts used to calculate the competition metric, the 75th percentile on all evaluation points. The ground truth is provided csv file.</li> </ol> <p><strong>Please, cite the following works when using the datasets included in this package:</strong></p> <ul> <li>Ortiz, M.; Perul, J.; Torres-Sospedra, J. Renaudin, V. Datasets and Supporting Materials for the IPIN 2018 Competition Track 4 (Foot-Mounted IMU based Positioning, off-site), Zenodo 2018 <a href="http://dx.doi.org/10.5281/zenodo.3228012">http://dx.doi.org/10.5281/zenodo.3228012</a></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 to: </strong></p> <ul> <li> <p>Miguel Ortiz (<a href="mailto:miguel.ortiz@ifsttar.fr">miguel.ortiz@ifsttar.fr</a>) at the French Institute of Science and Technology for Transport, Development and Networks (IFSTTAR) France.</p> <p> </p> </li> </ul>
Datasets and Supporting Materials for the IPIN 2016 Competition Track 3 (Smartphone-based, off-site)
<p>This package contains the datasets and supplementary materials used in the IPIN 2016 Competition (Alcalá, Spain).</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 17 training logfiles and a subfolder with the 9 blind evaluation logfiles as provided to competitors.</li> <li>02-Supplementary_Materials: This folder contains the Matlab/octave parser, the raster 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 578 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.; Knauth, A.; Moreira, A.; Beer, Y.; Fetzer, T.; Ta, V.-C.; Montoliu, R.; Seco, F.; Mendoza, G.; Belmonte, O.; Koukofikis, A.; Nicolau, M.J.; Costa, A.; Meneses, F.; Ebner, F.; Deinzer, F.; Vaufreydaz, D.; Dao, T.-K.; and Castelli, E. The Smartphone-based Off-Line Indoor Location Competition at IPIN 2016: Analysis and Future work Sensors Vol. 17(3), 2017. <a href="http://dx.doi.org/10.3390/s17030557">http://dx.doi.org/10.3390/s17030557</a></li> <li>Jimenez, A.R.; Mendoza-Silva, G.M.; Montoliu, R.; Seco, F.; Torres-Sospedra, J. Datasets and Supporting Materials for the IPIN 2016 Competition Track 3 (Smartphone-based, off-site). <a href="http://dx.doi.org/10.5281/zenodo.2791530">http://dx.doi.org/10.5281/zenodo.2791530</a></li> </ul> <p><strong>Additional information can be found at:</strong></p> <ul> <li><a href="http://evaal.aaloa.org/2016/competition-home">http://evaal.aaloa.org/2016/competition-home</a></li> <li><a href="http://indoorloc.uji.es/ipin2016track3/">http://indoorloc.uji.es/ipin2016track3/</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> </p>
Production Line energy and material flow dataset
<p>File dumpXXXXXX-1122 recounts production of 16 pieces, with<br> workplan "production with no fuse".<br> File dumpXXXXXX-1302 recounts production of 16 pieces, with workplan :production with left<br> fuse"</p>
Training material for the course "Exome analysis with GALAXY"
<p>Galaxy is an open source, web-based platform for data intensive biomedical research. It makes accessible bioinformatics applications to users lacking programming skills, enabling them to easily build analysis workflows for NGS data.<br /> <br /> The course "<strong>Exome analysis using Galaxy</strong>" is aimed at PhD student, biologists, clinicians and researchers who are analysing, or need to analyse in the near future, high throughput exome sequencing data. The aim of the course is to make participants familiarise with the Galaxy platform and prepare them to work independently, using state-of-the art tools for the analysis of exome sequencing data.</p> <p>The course will be delivered using a mixture of lectures and computer based hands-on practical sessions. Lectures will provide an up-to-date overview of the strategies for the analysis of exome next-generation experiments, starting from the raw sequence data. Analyses include sequence quality control, alignment to a reference genome, refinement of aligned sequences, variant calling, annotation and interpretation, and tools for visual inspection of results. Participants will apply the knowledge gained during the course to the analysis of Illumina’s real exome datasets, and implement workflows to reproduce the complete analysis. After the course, participants will be able to create pipeline for their individual analyses.</p> <p>Those are the needed datasets for this course.</p>
Data archive for "Femtosecond X-ray diffraction reveals a liquid-liquid phase transition in phase-change materials"
<p>This archive contains the raw experimentat data used for the data analysis in the article "Femtosecond X-ray diffraction reveals a liquid-liquid phase transition in phase-change materials". It furthermore includes the script(s) to transform raw diffraction images into structure factors and the data shown in the figures in ascii format. For the ab-initio molecular dynamics simulations, the atomic trajectories are included as well.</p>
Supplementary Materials
<p>Table S1: Kinetics of total hydroperoxide production, Table S2. Kinetics of production of species reactive to thiobarbituric acid.</p> <p>Table S2. Kinetics of production of species reactive to thiobarbituric acid.</p>
Assessing Negative Carbon Dioxide Emissions from the Perspective of a National 'Fair Share' of the Remaining Global Carbon Budget: Supplementary Material
<p>Detailed calculations supporting the results in the published paper, <em>Assessing Negative Carbon Dioxide Emissions from the Perspective of a National 'Fair Share' of the Remaining Global Carbon Budget</em>, <a href="https://link.springer.com/journal/11027">Mitigation and Adaptation Strategies for Global Change</a>, DOI: <a href="https://doi.org/10.1007/s11027-019-09881-6">10.1007/s11027-019-09881-6</a>.</p> <ul> <li><strong>IE-CO2-Quota-2015.ods</strong>: Spreadsheet/workbook in <a href="http://opendocumentformat.org/">Open Document</a> format. Includes table and charts as presented in the paper. Prepared using <a href="http://www.libreoffice.org">LibreOffice</a> (v 5.0+). Should also be accessible also in Microsoft Excel, but some formatting or functionality may be lost.</li> <li><strong>IE-CO2-Quota-2015.ipynb</strong>: Mathematical background and cross-check of detailed calculations in interactive <a href="https://jupyter.org/">Jupyter notebook</a> format (coding in <a href="https://www.python.org/">python</a>).</li> <li><strong>IE-CO2-Quota-2015-ipynb.html</strong>: Static HTML version of the <strong>IE-CO2-Quota-2015.ipynb</strong> suitable for simple viewing/printing.</li> <li><strong>IE-CO2-Quota-2015-ipynb.pdf</strong>: Static version of the <strong>IE-CO2-Quota-2015.ipynb</strong> suitable for simple viewing/printing.</li> </ul>
Training data for 'Genome annotation with Apollo' tutorial (Galaxy Training Material)
<p>Published scaffolds from the Apis mellifera assembly Amel_4.5 and Official Gene Set 3.2.</p> <p>Source: <a href="http://hymenopteragenome.org/beebase/?q=download_sequences">http://hymenopteragenome.org/beebase/?q=download_sequences</a></p>
Need for Explanations - Survey - Online Material
<pre>This dataset contains the results of an online questionnaire to assess the end-users' need for explanations in software systems. The questionnaire was shared in December 2018 and was online until January 2019. 171 participants initiate the survey and 107 completed it. We just analyzed the responses of the participants who completed the survey. This submission contains: The survey raw data in CSV format, separated by comma values; The .xlsx file containing the same raw data; The .pdf file containing the survey questions; A .rtfd version of the survey questions; A .html version of the survey questions; The .xlsx file containing the analyzed data; The .pdf file containing instructions about the coded data. The raw data contains only the responses from the 107 participants who completed the survey. Blank cells indicate that the participant did not provide a response to the corresponding question or answer option. All responses are anonymyzed and identified by an unique ID. _________ Each row is identified by the participant's ID, the date when the questionnaire was submitted, the last page (18 in total) and the language that the participant chose. The subsequent columns contain the questions. We use codes before each question. First, one of the following symbols: (*) as an indication that the question was mandatory; (*+)as an indication that the question was mandatory but was conditionnally shown, depending on previous answers; (+) as an indication that the question was conditionally shown, depending on previous answers; Next, the code of the question as in the questionnaire. And, if multiple choice, the code of the answer option. E.g.: (*+)A2(3) means that the A2 question in the questionnaire was mandatory and conditionally shown, and that this column contains the responses regarding answer option 3. After this code, the question as on the original questionnaire is shown and, when multiple option answer, the corresponding option is shown between [] after the question. E.g.: "In a typical day, which category of software/apps do you use on your digital devices most often? (More than one allowed) [Games]", where Games was one of the optional answers. The questionnaire was available in three languages: Portuguese, German and English. Responses in German and Portuguese were translated to English. These translations are shown in a subsequent column, beside the column with the original responses, and are identified by the word "TRANSLATION" in the title. Responses which were already in English were not translated.</pre>
ASTRail Deliverable 4.3, Task 4.4 - Supplementary Material
<p>This package contains supplementary material for the deliverable 4.3 of the <strong>ASTRail Project</strong>: <a href="http://www.astrail.eu/">http://www.astrail.eu/</a><br> The deliverable focuses on Task 4.4 of the project, aimed at producing a verifiable specification of the<br> moving-block train distancing system integrated with automated driving technologies (automatic train operation, ATO).</p> <p>The package includes the following folders:</p> <p>- <strong>HTML-Integrated-ATO-Moving-Block-Specification</strong>: a specification in HTML format, automatically generated from<br> the Simulink-Stateflow model included in Simulink-Stateflow-Models > Integrated-ATO-Moving-Block-Model;<br> Click on the file "ASTRail-Moving block and ATO.html" to visualise the document.</p> <p>- <strong>Simulink-Stateflow-Models:</strong> includes three separate Simulink models, namely ATO-Model (model of the ATO in isolation), <br> Moving-Block-Model (model of the moving block in isolation), <br> and Integrated-ATO-Moving-Block-Model (integrated model with moving block and ATO). <br> To run each model: use Simulink 2017b, or other compatible version;<br> double click on the file with extension ".slx" included in each folder; double click on the file "ASTRail_msg_bus.mat";<br> start the simulation through Simulink.</p> <p>- <strong>Event-B-ProB-Models-and-Properties:</strong> includes five Event B models, with extension ".mch", and two .txt files<br> with properties to be verified on the models. The models are PROB-ATO-alone-v13 (model of the ATO in isolation);<br> PROB-MB-alone-v13 (model of the moving block in isolation); PROB-MB+ATO-v13 (integrated model with moving block and ATO)<br> PROB-DRIVER+ATOdriverdata-v13 (DRIVER and ATO data); PROB-MB+ATOobudata-v13 (ATO and OBU data). <br> PROB-MB-alone-v13-properties.txt includes properties to be verified on the model of the moving block in isolation.<br> PROB-MB+ATOobudata-v13-properties includes properties to be verified on the model including ATO and OBU data.<br> To visualise and verify the models, use ProB version 1.9.0.<br> </p>
Dataset of Paper "Material selection and prediction of solar irradiance in plastic devices for application of solar water disinfection (SODIS) to inactivate viruses, bacteria and protozoa"
<p>Datasets of Paper “Predictive evaluation of solar irradiance in solar disinfection water plastic containers”.</p> <p>Data of the transmission spectra of the polymers: PMMA, PET, PC and PP.</p> <p>Data of the extinction coefficient spectra of the polymers: PMMA, PP, PC and PET.</p> <p>Data of the spectral incident radiation as a function of the thickness for PMMA, PET, PC and PP containers.</p> <p>Data of the spectral incident radiation required for inactivation of <em>MS2</em> virus, <em>E. coli</em> bacteria and <em>C. parvum</em> protozoa in a PMMA, PET, PC and PP containers.</p>
Supplementary material to Republic of Moldova project report Free University Berlin
<p>This is supplementary material for the project of the Freie Universität Berlin with the title: <strong>Anwendung geoarchäoogischer Methoden zum Verständnis anthropogener Spuren der Poineşti-Lucaşeuca Kultur in Ivancea-Sub Pădure, Republik Moldau. </strong>The project was carried out by students during the module Projekt I at the Freien Universität Berlin. Fieldwork was conducted 16th - 23rd September 2018in the vicinity of Ivancea (central Moldova), about 30km north of the capital Chisinau. </p>
Supplementary Materials to paper: Performance Testing of istSOS Under High Load Scenarios
<p>IPython notebook with data used for the analysis and generation of plots for the paper "Performance Testing of istSOS Under High Load Scenarios".</p>
Fig. 1. Attemsostreptus costatus Verhoeff, 1941, type material ZSM. A in Revision of the genus Attemsostreptus Verhoeff, 1941 with description of a new species from Tanzania and notes on the tribe Trachystreptini Cook, 1896 (Spirostreptida, Diplopoda)
Fig. 1. Attemsostreptus costatus Verhoeff, 1941, type material ZSM. A. Gonopods, anterior view. Aa. Overview of slide A 200427814, containing the gonopods. B. Slide A20042785, left gonopod, anterior view. C. Telopodite. D–G. Overview of Verhoeff's slides (ZSM) A20042785, A20042783, A20042784, A20042785. For abbreviations, see Material and methods. Aa, D–G photo credit J. Spelda. Scale bars: A–C = 0.5 mm; Aa, D–G: images not to scale.
Text-fig. 3. Schematic geological section of the Kristina Mine near Hrádek/N. (state in 1963–1964) – height/length ratio 3:1. Explanations: vertical hatching – lignite seam, seamlet; dotted – coarse-grained sand, pea-gravel; short lines – sandy clay; white – clay; black lines – clay ironstone concretions; black dots – individual fossiliferous horizons designated as (A) plastic clay from the upper part of the main xylitic seam (about 5 m under t of the seam, (B) clay and "Blätterkohle" from the uppermost part of the first seamlet (split off the Main Coal Seam), (C) slightly sandy brown clay under the uppermost part of the Main Coal Seam, (D) base of the sandy clay with large concretions of the clay ironstone above the Main Coal Seam, (E) sandy clay (incl. clay ironstone) supplying most of leaf material with cuticles (F) 1–2 cm thin silty lenticles or thin beds of the sandy clay with xylites and Eomastixia within peagravels and coarse-grained sands, (G) coarse-grained sands with clayish silts with Fagus, Ocotea, Pterocarya, Tectocarya, (H) brown sandy clay underlying the uppermost seamlet, (I) lignite clay, base of the uppermost seamlet (J) Glyptostrobus – "Blätterkohle", base of the uppermost seamlet (according to Holý 1975, modified). in A Review Of The Early Miocene Mastixioid Flora Of The Kristina Mine At Hrádek Nad Nisou In North Bohemia (The Czech Republic)
Text-fig. 3. Schematic geological section of the Kristina Mine near Hrádek/N. (state in 1963–1964) – height/length ratio 3:1. Explanations: vertical hatching – lignite seam, seamlet; dotted – coarse-grained sand, pea-gravel; short lines – sandy clay; white – clay; black lines – clay ironstone concretions; black dots – individual fossiliferous horizons designated as (A) plastic clay from the upper part of the main xylitic seam (about 5 m under t of the seam, (B) clay and "Blätterkohle" from the uppermost part of the first seamlet (split off the Main Coal Seam), (C) slightly sandy brown clay under the uppermost part of the Main Coal Seam, (D) base of the sandy clay with large concretions of the clay ironstone above the Main Coal Seam, (E) sandy clay (incl. clay ironstone) supplying most of leaf material with cuticles (F) 1–2 cm thin silty lenticles or thin beds of the sandy clay with xylites and Eomastixia within peagravels and coarse-grained sands, (G) coarse-grained sands with clayish silts with Fagus, Ocotea, Pterocarya, Tectocarya, (H) brown sandy clay underlying the uppermost seamlet, (I) lignite clay, base of the uppermost seamlet (J) Glyptostrobus – "Blätterkohle", base of the uppermost seamlet (according to Holý 1975, modified).
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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.
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.