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ShareScore release 0.9.0
Dataset results
109 results for “Visualisation”
ARTIMATION Conflict detection and resolution visualisation questionnaire results
<p>This dataset reports the results of the questionnaires (post-condition and post-scenario) that were applied for the human performance assessment of the conflict resolution visualisation tool human in the loop (HITL) simulation of ARTIMATION project.</p>
Reprocessing script and data for the Bilzingsleben antlers dataset to visualise it with the archeoViz web application
<p>This files were created to be used for visualisation with the <a href="https://analytics.huma-num.fr/archeoviz/bilzingsleben"><em>archeoViz</em> application</a>.</p> <p>This record includes:</p> <ul> <li>Reprocessed data from: Vollbrecht, Jürgen. 2000. “The antler finds at Bilzingsleben, excavations 1969-1993”, <em>Internet Archaeology</em>, 8. DOI: <a href="https://doi.org/10.11141/ia.8.1">10.11141/ia.8.1</a></li> <li>and an R script with the code used to the reprocess this dataset.</li> </ul> <p>In the resulting files,</p> <ul> <li><strong>bilzingsleben-data.csv</strong>: partialy reprocessed Vollbrecht's data.</li> <li><strong>bilzingsleben.csv</strong>: output file of the reprocessing: the objects (antlers) are associated with the ranges of coordinates of the square they were found, links to their record in Vollbrecht's database are included.</li> <li><strong>bilzingsleben-refits.csv</strong>: refitting data are reformated in a convenient format.</li> <li><strong>bilzingsleben-timeline.csv</strong>: the year the squares were excavated were deduced using Vollbrecht 2000 and recoded. This made it possible to generate:</li> <li><strong>bilzingsleben-timeline-map.jpg</strong>: a map of the site giving the year the squares were excavated and the labels arbitrary attributed for the <em>archeoViz</em> visualisation.</li> </ul> <p> </p>
NFDI4Culture statistics and visualisations for the period 10/2020–09/2023
<p>FAIR data and reproducible results are important objectives of NFDI4Culture. This data publication contains a set of statistics, data, and visualisations of key aspects of the consortium for the period 10/2020 to 09/2023. These findings are a result of the work on the progress report that NFDI4Culture submitted to the German Research Foundation (DFG) in September 2023. In terms of utility for our partners and communities, these visualisations and data sets possess a broader significance beyond the report. Adhering to the principles of Open Science, that is the reason we offer them as a data publication of its own, to be used in presentations, workshops, and other formats.</p> <p>A <strong>web version of this data publication </strong>is available at <a href="https://nfdi4culture.de/go/E5165">https://nfdi4culture.de/go/E5165 </a></p>
The affiliation network of the Radical Open Access Collective visualised
<p>This figure depicts the affiliation network of the Radical Open Access Collective (https://radicaloa.postdigitalcultures.org/), which is an international community of scholar-led publishing initiatives. It was formed in 2015 and the data collection via web-based research took place in the period from April 2021 until April 2022. The visualisation process was developed interatively throughout a qualitatively driven mixed methods research on scholar-led publishing initiatives. As part of 23 qualitative expert interviews, network elicitation was embedded as a method of mixed methods social network analysis. Several iterations of the network map were created with the software MindManager 2020. An edited version of the network graph was published in the Journal of Scholarly Publishing (Schimmel, 2023).</p>
Data from: Spectroscopic approach to correction and visualisation of bright-field light transmission microscopy biological data
Open the record for dataset details and reuse information.
Extended data tables to Haering and Habermann, F1000Res, RNfuzzyApp: an R shiny RNA-seq data analysis app for visualisation, differential expression analysis, time-series clustering and enrichment analysis
Open the record for dataset details and reuse information.
Genomic Data Visualisation with JBrowse
<p>The data provided here is part of the Galaxy Training Network tutorial for visualising genomic data with JBrowse.</p>
Dynamical Visualisations of Pendulum Motion
<p>This submission includes two animated GIFs showcasing simulations of pendulum motion in two distinct scenarios: a massless pendulum and a damped pendulum. Both animations are generated using Python with the matplotlib library.</p>
Viking Age Oval brooch - Pattern visualisation 2
Video showing the laserscanning of the brooch: https://www.youtube.com/watch?v=vF97kHaKAvc Oval brooches of different types were worn in pairs by women during the Viking Age. These links show suggestions of how they were worn: http://www.mynewsdesk.com/se/uu/images/pm_vikingakvinna1-5825 https://hantverkat.files.wordpress.com/2014/09/norrskensfesten-2011.jpg The decoration of this particular brooch is made in the "Gripping beast style". Source: Objaverse 1.0 / Sketchfab
Network visualisation of co-authorship analysis of countries
<p>VOSviewer mapping shows network visualisation of co-authorship analysis of countries for <span>focusing on MICP research in the context of hydrodynamics (1999-2024).</span></p>
PMC_visualisation_and_source_data_SS_v1.0.7
<p>This is the first release of the code and data for:</p> <p>"Public health impact of current and proposed age-expanded perennial malaria chemoprevention: a modelling study"</p> <p>Swapnoleena Sen1,2, Lydia Braunack-Mayer3,4, Sherrie L Kelly1, Thiery Masserey1,2, Josephine Malinga4,5, Joerg J Moehrle2, Melissa A Penny4,5*</p> <p>1 Swiss Tropical and Public Health Institute, Allschwil, Switzerland<br>2 University of Basel, Basel, Switzerland<br>3 <span>Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland </span><br>4 Telethon Kids Institute, Nedlands, WA, Australia<br>5 Centre for Child Health Research, The University of Western Australia, Crawley, WA, Australia</p> <p>*Correspondence to: Prof Melissa A Penny (melissa.penny@uwa.edu.au)</p> <p>In this study, we integrated an individual-based model of malaria (OpenMalaria) with pharmacological models of drug action to assess the public health impact and cost-effectiveness of perennial malaria chemoprevention (PMC), and the added benefit of further age-expanded dosing schedule (referred as PMC+).</p> <p>The details of running OpenMalaria model, data generation and analysis (including R scripts used for preparing the source data files) for this study can be found in a separate "OpenMalaria_workflow_PMC_modeling" repository (DOI:10.5281/zenodo.12721515). </p> <p>Here the plotting functionalities are described. The repository is strcutured based on figures reported in the manuscript. Each figure has a folder as per its name that includes: 1) R code to plot figure 2) source data files and 3) one PNG and one PDF version of the figure. </p> <p>Please note: i) "dependencies.R" specifies all package information and dependencies in which the simulation, analysis scripts and plotting scripts are tested and stable. <br>ii) The R scripts rely on the folder structure and working directories used by the researchers. To replicate figures, you will need to adjust the file paths.</p>
Visualisation of gradient flow in the 3D SU(2) Georgi-Glashow model
<p>Visualisation of gradient flow applied to a hot configuration containing ’t Hooft-Polyakov<br> monopoles and antimonopoles.</p> <p>Red and blue dots represent positive and negative magnetic monopoles. Isosurfaces of Higgs field expectation value are shown in green and yellow.</p> <p>Simulation was done on a 64^3 lattice at y = 0.03, x = 0.35 and β = 8.<br> Flow begins at ξ = 0 a, and ends at ξ = 4.38 a.</p> <p>Video made with VisIt by Riikka Seppä.<br> Simulation code developed by Lauri Niemi.</p>
Analytics, Visualisation and Machine Learning of General Practitioner Prescribing using Open Health Data
<p>Open Prescription data used in Postgraduate project into Northern Ireland General Practice prescribing.</p>
Analyses, data and figures related to: "Connecting ships: Using dendrochronological network analysis to determine the wood provenance of Roman-period river barges found in the Lower Rhine region and visualise wood use patterns"
<p>Analyses, data and figures related to: "Connecting ships: using dendrochronological network analysis to determine the wood provenance of Roman-period river barges found in the Lower Rhine region and to visualise patterns of wood use" by Ronald M. Visser (Saxion University of Applied Sciences, Deventer, the Netherlands) and Yardeni Vorst (Vorst wood research, Zaandam, the Netherlands) submitted to the International Journal of Wood Culture</p>
Arctic PASSION Online Seminar on "Visualising permafrost landscape change: A new service from the EU Arctic PASSION project"
<p><strong>16 May 2024 at 11 AM GMT</strong></p> <p><strong></strong>In this online seminar, Arctic PASSION is introducing its pan-Arctic requirements-driven Permafrost Service. The Permafrost Service is based on remote sensing analyses, and detection and mapping of permafrost disturbances at high spatial resolution across large regions. The data helps to quantify landscape change, hydrological dynamics and permafrost vulnerability. In order to make the scientific findings easily accessible, we designed a tailored web-based portal specifically targeting non-scientific user communities, stakeholders and rightsholders. With the Arctic Landscape EXplorer (<a href="https://arcticpassion.eu/blog/ALEX">ALEX</a>), we provide interactive maps for recent information on land surface changes, hot spots of disturbances and potential areas of active permafrost thaw and erosion.</p> <p> </p> <p><strong>Speakers: </strong></p> <p>Tillmann Lübker (Geospatial Data Scientist at the Alfred Wegener Institute/Arctic PASSION)</p> <p>Guido Grosse (Head of the Permafrost Research Section at the Alfred Wegener Institute/Arctic PASSION) </p> <p>Moderation: Josefine Lenz (Project Manager at the Alfred Wegener Institute/Arctic PASSION)</p> <p> </p> <p><strong>Webinar recording: </strong>https://www.youtube.com/watch?v=XW5b7nk7sBw</p> <p> </p> <p><strong>Related links: </strong>https://arcticpassion.eu/blog/ALEX</p>
Dataset for the 20181106 study group lesson (data visualisation)
<p>We want to measure the effect of a bacteria (E.coli) on the immune system of plants. <br> To do so, we measure the fluorescence of leaf disks at two different wavelenghts and at three different time points (0,2 and 4 hours after inoculation). <br> In the provided dataset, each row is a measurement of the fluorescence (column `fluorescence`) of one leaf disc. There is also a column (`fluo_normalised`) of the normalised fluorescence (normalised relatively to timepoint 0h). </p> <p> </p>
3D hydrodynamic simulations of C ingestion into a convective O shell: Animated visualisations
<p>Animated visualisations of the 3D simulations presented by Andrassy et al. (2019), arXiv:1808.04014.</p>
FarFish FFDB Decision Support and visualisation tools outputs
<p>Decision Support and visualisation tools outputs as generated by the FarFish FFDB DLMTool</p>
Gravitational waves from freely decaying turbulence: simulation visualisations
<p>Simulation visualisations to accompany the paper <em>Generation of gravitational waves from freely decaying turbulence</em>, <a href="https://arxiv.org/abs/2205.02588">arXiv:2205.02588</a>, which has been <a href="https://doi.org/10.1088/1475-7516/2022/09/029">published in JCAP</a>. The visualisations are provided in two formats.</p> <p>The visualisations correspond to simulations A' and D, as listed in Table 2 of the paper. The magnitude of the fluid 3-velocity is shown.</p>
Supplementary code and visualisations for "Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy"
<p>MATLAB code and workspaces for reproducing the main results and figures of the paper "Seizure pathways change on circadian and slower timescales in individual patients with focal epilepsy." Additional supplementary visualisations for all patients are also provided as PDFs. </p> <p>The paper preprint is available on bioRxiv: https://www.biorxiv.org/content/10.1101/661371v2</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.