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461,131 results for “FIGURES”
Madanpur मदनपुर (Lalitpur, UP). Temples next to Madan Sagar, inscribed atlantid bracket figure.
<p>Madanpur मदनपुर (Lalitpur, UP). Temples next to Madan Sagar, inscribed atlantid bracket figure.</p>
LTER-Italy site Lago Maggiore figure
<p>Geographical representation of the LTER-Italy site Lago Maggiore - DEIMS-ID <a href="https://deims.org/f30007c4-8a6e-4f11-ab87-569db54638fe">https://deims.org/f30007c4-8a6e-4f11-ab87-569db54638fe</a></p>
An interactive figure of the 2016 and 2020 X-ray light curves of LMC 1968 as observed by the XRT instrument on Swift
<p>This repository contains all the files necessary to create the interactive figure in the Research Note ov Schwarz, Page, Kuin, & Darnley 2020. The figure was created using the <a href="https://aas-timeseries.readthedocs.io/en/latest/">aas-timeseries</a> package of the <a href="https://www.astropy.org">astropy</a> project. The file lmc68.py is the underlying python code while the two lmcrel*.csv are the input files for the 2016 and 2020 eruptions of the recurrent nova LMC 1968 as observed by the XRT instrument on board the Neil Gehrels Swift observatory. A Jupyter notebook is required to preview the interactive figure. The output from the code is saved in the interactive.tar.gz package. It consists of four files:</p> <ul> <li>index.html</li> <li>figure.json</li> <li>data_75e74aca-09f1-4846-966e-9e33c7acc8d3.csv</li> <li>data_5402e718-01cf-4ad7-92a5-7679d4076ed5.csv</li> </ul> <p>The first file, index.html, is the html framework that houses the interactive figure. figure.json contains the interactive figure commands while the two data*csv files are the underlying data. The interactive figure can be viewed if this package is opened on a web server. A copy of this interactive figure is available <a href="https://authortools.aas.org/LMC1968/">here</a> so you can try it out.</p>
Data used to create figures in the ACP Letters manuscipt "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" by Regayre et al. (2020)
<p>This dataset was created from perturbed parameter ensembles (PPEs) using the HadGEM-UKCA atmospheric composition climate model. All data needed to reproduce figures in the Regayre et al. (2020) ACP Letters article "The value of remote marine aerosol measurements for constraining radiative forcing uncertainty" are included. Other output from the PPEs can be obtained by contacting the lead author.</p> <p>The following data are included here:</p> <ul> <li>CCN measurement data degraded to match the model-measurement comparison resolution.</li> <li>Unconstrained and constrained CCN<sub>0.2</sub> output from the PPE used to make Figure 1. These compressed files contain 48 .dat files. Each .dat file contains the PPE mean, variance and 95% creidble interval data. Files are named consecutively, containing data from 90<sup>o</sup>S to 90<sup>o</sup>N at 0<sup>o</sup>E, then continuing Eastward. When combined, these files provide data for each latitude/longitude pair at the N48 spatial resolution.</li> <li>A zip file of an netcdf file containing 26-dimensional data for parameter values, used to create the sample of 1 million model variants from our statistical emulators of model output.</li> <li>A zip file containing a folder of files made of one million ones and zeros that indicate the retention/rejection criteria from applying our constraint methodology for various constraint combination scenarios, for each model variant. A value of 1 indicates the model variant was retained. Data in these files is in the same order as the unconstrained sample file of parameter values.</li> <li>Compressed files containing global, annual mean RF<sub>aci</sub> and ERF<sub>aci</sub> values for the unconstrained set of one million model variants. The compressed netcdf files contain RF (ERF), RF<sub>aci</sub> (ERF<sub>aci</sub>) and RF<sub>ari</sub> (ERF<sub>ari</sub>) values.</li> </ul>
FIGURE 6 from paper JVST-B "Formation of CdSe quantum dots from single source precursor obtained by thermal and laser treatment"
<p>The dataset includes two files: the word file describes the type of sample and the procedures used to pick up the data; the excel file includes the raw data used to obtain the plots of figure 6.</p> <p>In the following is reported the description of figure 6 as wrote in the paper.</p> <p>Absorption spectrum of PMMA/CdDMASe (black solid line), PMMA/CdDMASe/OA (red dashed line) and PMMA/CdDMASe/OAm (blue dotted line) films.</p>
Comet Figure Depository
<p>This depository contains figures made by Herbert Gunell to illustrate some aspects of comet plasma physics.</p>
Yannoulis Chalepas (Γιαννούλης Χαλεπάς), Sleeping Female Figure (Κοιμωμένη), 1878
<p><strong>Three-dimensional model of Sleeping Female Figure, by Yannoulis Chalepas.</strong></p> <p><em>Yannoulis Chalepas (</em><em>Γιαννούλης </em><em>Χαλεπάς), Sleeping Female Figure (</em><em>Κοιμωμένη), 1878, 77 x 178 x 76 cm<sup>3</sup>, 1st Cemetery of Athens.</em></p> <p>This dataset contains a textured 3D model of the sculpture "Sleeping Female Figure", by Yannoulis Chalepas. The "Sleeping Female Figure" was created by Yannoulis Chalepas in marble for the grave of eighteen-year-old Sofia Afentaki in the 1st Cemetery of Athens. The 3D model is encoded as a mesh of 1831256 textured triangular faces and 3660969 vertices, stored in the Wavefront Technologies OBJ format. The texture is encoded in four 8192 x 8192 pixel<sup>2</sup> images. An MP4 video file that renders texture and non-textured visualizations of the model is also provided.</p> <p>Yannoulis Chalepas (Greek: Γιαννούλης Χαλεπάς, August 14, 1851 – September 15, 1938) was a Greek sculptor from the Island of Tinos, Greece, a significant figure of Modern Greek Art, and a practitioner of Tinian marble craftsmanship (Inscription 10.COM 10.b.17 in the UNESCO Representative List of the Intangible Cultural Heritage of Humanity, <a href="https://ich.unesco.org/en/RL/tinian-marble-craftsmanship-01103">https://ich.unesco.org/en/RL/tinian-marble-craftsmanship-01103</a>, <a href="https://ich.unesco.org/en/decisions/10.COM/10.B.17">https://ich.unesco.org/en/decisions/10.COM/10.B.17</a> )</p> <p>For any questions please contact Xenophon Zabulis at <a href="mailto:zabulis@ics.forth.gr">zabulis@ics.forth.gr</a></p>
Kin selection explains the evolution of cooperation in the gut microbiota, by Simonet & McNally, 2020, Dataset S1 and codes for statistical analysis and figures production
<p>Dataset S1 contains all raw and processed material referred to in the published article "Kin selection explains the evolution of cooperation in the gut microbiota". R codes files provide all codes to replicate the analysis. Please refer to the README file for a description of all code files. The manifest files are those obtained by accessing the HMP portal on April 2020 under Project > HMP, Body Site > feces, Studies>WGS-PP1, File Type > WGS raw sequences set, File format > FASTQ.</p> <p>We also provide access to these data and codes at our GitHub (https://github.com/CamilleAnna/HamiltonRuleMicrobiome gitRepos.git) which can be cloned to directly re-run this analysis. </p> <p><strong>Legends for Dataset S1:</strong></p> <ul> <li>Sheet 1: Metagenomic samples used and access links.</li> <li>Sheet 2: Reference on bacterial cooperation retrieved from Web of Science search: TI¯((microb* OR bacter* OR microorganis* OR micro-organis*) AND (coop* OR social*)</li> <li>Sheet 3: Retained bacteria cooperation keywords</li> <li>Sheet 4: GOs identified by annotating all MIDAS database genomes (5944 genomes) with PANNZER2.</li> <li>Sheet 5: Full list of potential bacterial cooperation GO terms and description of manual curation decisions.</li> <li>Sheet 6: Final list of bacterial cooperation GO used for the analysis</li> <li>Sheet 7: Genomic diversity of the bacterial population within and across host. Computed from MIDAS snp_diversity.py pipeline.</li> <li>Sheet 8: final dataset for statistical analysis.</li> <li>Sheet 9: per-gene annotation of cooperation.</li> </ul>
Storing single photons emitted by a quantum memory on a highly excited Rydberg state - Figure data
<p>The files contain the data associated with the paper Distante, Farrera et al. "Mapping single photons emitted by a quantum memory on a highly excited Rydberg state".</p> <p>The name of each file corresponds to the figure number (e.g. figure2a, figure3b, etc.) and the first element in each file (the first row) is the date in which the data has been taken. The data is the result of a pre-processing of histogram and time-stamping files in the experiment. On reasonable request, we can provide the raw data.</p> <p>The fits in the figures are referenced throughout the open-access paper, and can be found in the Supplementary Information of the publication.</p>
Dirac's magnetic monopole (figure).
<p>A schematic representation of Dirac’s magnetic monopole. The monopole is imagined to be the end point of a semi-infinitely long, infinitesimally thin solenoid known as a "Dirac string", here shown from the side (red lines). The magnetic field lines (black arrows) are shown emanating from the point at the end of the string (imagine the red lines are infinitely close together). If such Dirac monopoles exist, it is the requirement that the string is undetectable that means electric charge must be quantised. Image credit: The Institute for Research in Schools 2016.</p> <p>CERN@school DRN: CAS-PUB-MDL-000007-v1.0</p>
Sri Ksetra, Bago, Myanmar. Guardian figure in repoussé silver.
<p>Sri Ksetra, Bago, Myanmar. Guardian figure holding a club, in silver repoussé. Now in the National Museum of Myanmar, Yangon, as documented in 2017. Probably 6th century.</p>
Sri Ksetra, Bago, Myanmar. Female figure cast in iron.
<p>Sri Ksetra, Bago, Myanmar. Female figure cast in iron, possibly a mother goddess, now in the National Museum, Yangon. Perhaps 4th century.</p>
Udayagiri, Madhya Pradesh. Cave 7, damaged figure of Skanda.
<p>Udayagiri, Madhya Pradesh. Cave 7, damaged figure of Skanda, on the east wall of the cave adjacent to mother-goddesses, probably 5th century. As documented in 11/2007.</p>
Nachna, Madhya Pradesh, India. Guardian figure, fifth century.
<p>Nachna, Madhya Pradesh, India. Guardian figure, fifth century. Now National Museum of India. Photograph 1980; digitisation 2016.</p>
Citation analysis of Brown 1988 and Charnov 1976, for Figure 1 of manuscript "Halloween Charnov", Calcagno et al. 2023
<p>This contains the R script (bibliom.txt) and the ciatation data files (three .csv files) needed to generate Figure 1 in manuscript "Taking fear back into the Marginal Value Theorem: the risk-MVT and optimal boldness", by Calcagno, Gorgnard, Hamelin and Mailleret, 2023.</p>
Section 5.3 "Task Area 3: Multimodal data linking and integration" Figure 10
<p>Figure 10. Data flow to obtain a multimodal data structure (mmDS) with an overarching graph database (MUGDAT).</p> <p>from NFDI Grant Application, "<strong>National Research Data Infrastructure for Microscopy and Bioimage Analysis</strong>" (NFDI4BIOIMAGE)</p>
Figure: Occupational Fatality and Health Metrics within EU Consumption and Various Supply Chain Accounting Frameworks
<p><span><strong>Occupational Fatality and Health Metrics within EU Consumption and Supply Chain Contexts.</strong> Directly taken from (Koundouri et al., 2023) and reproduced with the authors' permission. </span><span>It displays in Figure A the</span><span> work-related fatal occupational injuries tied to goods finally consumed within the EU (Consumption Based Accounting -CBA- framework) and those within supply chains passing through the EU (Throughflow Based Accounting -TBA- framework) </span><span><span>(Beaufils et al., 2023) and</span></span><span> the results denote fatalities. It also displays in Figure B the D<span>isability-Adjusted Life Years</span><em><span> (</span></em></span><span>DALYs) associated with asbestos, asthmagen, and chromium-related occupational fatalities linked to European goods consumption (CBA) and traversing supply chains (TBA). Last, in Figure C, it provides</span><span> a comparative breakdown for each commodity from panels A and B, illustrating proportions by accounting framework (TBA vs. CBA).</span></p> <p><span>This figure put forward that despite potential barriers to target direct import intervention, optimized supply chain management can markedly reduce occupational fatalities related to global value chains passing through EU. As such, ILO frameworks such as Occupational Safety and Health Convention, 2006 (No. 187) </span><span><span>(International Labour Organization, 2006)</span></span><span>, and Occupational Safety and Health Convention, 1981 (No. 155) </span><span><span>(International Labour Organization, 1981)</span></span><span> offers a path to significant fatality reductions</span></p>
Figures datasets for "Wave momentum shaping for moving objects in heterogeneous and dynamic media"
<p>Source data for Figures used in the manuscript "Wave momentum shaping for moving objects in heterogeneous and dynamic media".</p>
Data, plotting scripts, and figures for "A physics-based ignition model with detailed chemical kinetics for live fuel burning studies"
<p>This repository contains the data, plotting scripts, and figures associated with the paper "A physics-based ignition model with detailed chemical<br>kinetics for live fuel burning studies" by Diba Behnoudfar and Kyle E. Niemeyer.</p> <p>See the README file for additional details.</p>
Dataset for Figure 2 in 'Tales on co-response-ability in times of environmental polarization'
<p>This dataset contains part of the asnwers to surveys collecting feedback from participants in four participatory workshops within the project SharedDialogues (shareddialogues.org), focussed on exploring the environmnetal crisis of the Mar Menor lagoon (Murcia, Spain). It has been used for generating Figure 2 in the paper entitled 'Tales on co-response-ability in times of environmental polarization' published in the journal Ecology&Society. Participants were asked to rate in a likert scale 1-5 to what extent they personally felt 'safe', 'listened by others', 'understood by others', 'confronted', and to what extent they felt the overall affective tonality of the workshop as 'respectful', 'collaborative', 'tense'. Answers were anonymous and number of participants participating and answering the survey varied from workshop to workshop. This evaluation method has been adapted from: <span><span>Brugnach, M. de Waard, S. Dubois, D. Farolfi, S. 2021. Relational quality and uncertainty in common pool water management: an exploratory lab experiment. Sci Rep 11, 15188. https://doi.org/10.1038/s41598-021-94517-6</span></span></p> <div> <div> <div> <div> <div> <div> <div> <p><span>This work has been founded by UKRI Research England under the Participatory Research funding stream; the Ministry of Science and Innovation through the Juan de la Cierva (MCIN/AEI/10.13039/501100011033) and Ramón y Cajal (RYC2021- 031626-I); the María de Maeztu program for accreditation of excellence 2023-2027 (CEX2021- 001201-M); the Basque Government through the BERC 2022-2025 program; and the European Commission through the Horizon 2020 research and innovation program, Marie Skłodowska-Curie Training and Innovation Network ‘NEWAVE – Next Water Governance’ under funding agreement No. 861509.</span></p> </div> </div> </div> </div> </div> </div> </div>
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.