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3,225 results for “Case study”

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zenodo44/100

Dataset supporting the paper: "A Case Study on the Parametric Occurrence of Multiple Steady States"

Dataset supporting the paper: Russell Bradford, James H. Davenport, Matthew England, Hassan Errami, Vladimir Gerdt, Dima Grigoriev, Charles Hoyt, Marek Košta, Ovidiu Radulescu, Thomas Sturm, and Andreas Weber. A Case Study on the Parametric Occurrence of Multiple Steady States. In Proceedings of ISSAC ’17, Kaiserslautern, Germany, July 25-28, 2017, 8 pages. ACM, 2017. https://doi.org/http://dx.doi.org/10.1145/3087604.3087622 Preprint: https://arxiv.org/abs/1704.08997 We provide all the accompanying material for the main symbolic computations in Section 2.1 ############### Section 2.1.1 ############### The computations were carried out within the following setting: 1. Compiled and functional Reduce system r3606 is available and the environment variable $trunk points to the trunk of Reduce source tree (e.g. ~/reduce-algebra/trunk). To compile and install Reduce see: http://redlog.eu/reduce-wiki/index.php/Installation 2. Compiled and functional QEPCAD B v1.69 is installed and it is possible to call QEPCAD from Reduce (via rlqepcad). To compile and install QEPCAD see: https://www.usna.edu/CS/qepcadweb/B/QEPCAD.html To reproduce the experiments reported in the paper go: ./generate-problems-onevar.py ./compute-all.sh --csl ~/reduce-algebra/trunk ./problems-onevar 4 ./einsetzen.sh A few notes BEFORE YOU RUN: 1. To try a different value of k19, edit the file solbiomod26.red. Currently we set k19 = 500. 2. It is advised to run these test on a multicore machine, e.g., we used 32 cores (the last argument of ./compute-all.sh script) for trying the 3^11 candidates (einsetzen.sh script). 3. The script generate-problems-assignmnets.py (called from einsetzen.sh) creates 3^11 test files! 4. The potential values to be tried using interval refinement are described as real algebraic numbers, i.e., pairs of polynomial and isolating interval. These numbers are stored in assignment files (assignment-<var>-<possibility#>) produced by ./gml-to-red.py (called from einsetzen.sh) ############### Section 2.1.2 ############### These computation were conducted in commercial Computer Algebra System, Maple 2016. We have included the Maple Worksheet file which is annotated to describe the calulations in detail. We also include a pdf printout of the worksheet which those without access to Maple can read.

opencc-by-4.0May 2017View details →

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MINIATURA 6 Housing decisions, behavioral aspects of choices, price expectations and anchoring effect - Polsh case study

The data was created as a result of a survey conducted in accordance with the guidelines: - the survey questionnaire consisted of approximately 30 questions and a form, - the surveyed population was defined as 1,000 households living in a large Polish city (over 450,000 inhabitants), quota selection based on the number of city inhabitants, - CAWI method (online), - completion date: 1 week. The survey was parameterized. Part of the sample is a control trial, part is an experimental trial.Dane powstały w wyniku przeprowadzonej ankiety zgodnie z wytycznymi: - kwestionariusz badania  składał się z ok. 30 pytań oraz metryczki, - badana zbiorowość określono na 1000 gospodarstw domowych zamieszkałych w dużym mieście Polski (powyżej 450 tys. ludności), dobór kwotowy na podstawie liczby mieszkańców miast, - badanie metodą CAWI (on-line), - termin realizacji 1 tydzień. Ankieta byłą sparametryzowana. Część próby stanowi próba kontrolna, część próba eksperymentalna.

opencc-by-4.0Oct 2023View details →

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Implications of Socio-Economic Conditions on Common Mental Disorders: A Case-study of Salt Pan Workers in Marakkanam Block of Tamil Nadu

Socio-economic indicators of Saltpan workers in Marakaanam, Tamil Nadu, India and their SRQ-20 scoring.Data regarding; Consumption, Wages, Debt, Social Group, Gender, Age, Ration Card, Education, Distance from work(saltpan), ownership of house and the SRQ-20 Questionanaire used for Screening of CMDs and Distress levels

opencc-by-4.0Nov 2023View details →

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Towards an open pipeline for the detection of Critical Infrastructure from satellite imagery – A case study on electrical substations in The Netherlands

Abstract. Critical infrastructure (CI) are at risk of failure due to the increased frequency and magnitude of climate extremes related to climate change. It is thus essential to include them in a risk management framework to identify risk hotspots, develop risk management policies and support adaptation strategies to enhance their resilience. However, the lack of information on the exposure of CI prevents their incorporation in large-scale risk assessment studies. This study sets out to improve the representation of CI for risk assessment studies by building a neural network model to detect CI assets from optical remote sensing imagery. We present a pipeline that extracts CI from OpenStreetMaps, processes the imagery and assets' masks, and trains a Mask R-CNN model that allows for instance segmentation of CI at the asset level. This study provides an overview of the pipeline and tests it with the detection of electrical substations assets in the Netherlands. Several experiments are presented for different under-sampling percentages of the majority class (25%, 50% and 100%) and hyperparameters settings (batch size and learning rate). The best metrics achieved are an Average Precision at an Intersection over Union of 50% of 30.93 and a tile F-score of 89.88%. This allows us to confirm the feasibility of the method and invite disaster risk researchers to use this pipeline for other infrastructure types. We conclude by exploring the different avenues to improve the pipeline by addressing the class imbalance, Transfer Learning and Explainable AI.

opencc-by-4.0Nov 2023View details →

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HEATDesalination - Case-study lowest-cost optimisation results

Optimisation results for the lowest lifetime cost system consisting of solar photovoltaic (PV), hybrid photovoltaic-thermal (PV-T) and solar-thermal collectors alongside battery and hot-water storage systems for meeting the electrical and thermal (hot-water) needs of three multi-effect distillation (MED) plants. The updated results are from optimisations runs carried out in response to peer-review comments.

opencc-by-4.0Apr 2023View details →

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A Case-Control Study to Measure Behavioral Risks of Malware Encounters in Organizations

The behavior of enterprise users (e.g. browsing at night or visiting gambling sites) is a potential factor that might increase the chances of malware encounters (e.g. coinminers vs ransomware) on the field. This dataset report the aggregated results of a case-control study on telemetry data collected by Trend Micro, a global cybersecurity vendor, to identify users’ behavioral characteristics that can be used to differentiate cybersecurity risks profiles.

opencc-by-4.0Apr 2024View details →

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Dataset for "Gender and Gender Research in a Research Community: CSTT as a Case Study"

This is the dataset used for and generated during our research for the following publication: Francis Borchardt, Hanna Tervanotko and Saana Svärd  "Gender and Gender Research in a Research Community: CSTT as a Case Study." In: Changes in Sacred Texts and Traditions: Methodological Encounters and Debates, eds. Martti Nissinen and Jutta M. Jokiranta. Resources for Biblical Study 106. SBL Press; Atlanta, USA. Pp. 517-544. 2024.

opencc-by-4.0Jan 2024View details →

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Flood Hazard Maps and Associated Data for Case Study: Funding rules that promote equity in climate adaptation outcomes

Inundation grids for multiple return periods and multiple scenarios. Please see the underlying study for more details about the methods. The data here can be reproduced following the code and instructions at this repository: https://github.com/CoRE-Lab-UCF/Pollack_et_al_2024/tree/main. Also available here: https://doi.org/10.5281/zenodo.14515896.

opencc-by-4.0Dec 2024View details →

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Bias-corrected EURO-CORDEX RCM simulations for the OPTAIN case studies

Bias-corrected EURO-CORDEX RCM simulations are available on a daily timescale for: -period 1981-2099/2100, -6 RCM, -3 scenarios (RCPs 2.6, 4.5 and 8.5), -7 variables (mean, minimum and maximum temperature, precipitation, solar radiation, wind speed at 2 m and relative humidity) and -18 domains and 23 locations within these domains. Bias correction and further downscaling to 0.1° was done using <a href="https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-land?tab=overview">ERA5-Land</a> reanalysis data with non-parametric empirical quantile mapping. Moreover, the interpolation of gridded bias-corrected climate model simulations to the locations was made using universal kriging. Organization of the data The name of the files are domain-type.zip, where type is gridded (NetCDF) or point (csv). Each zip file contains multiple files, organized in subfolders: experiment/modelNumber/variable.nc for gridded and experiment/modelNumber/variable-pilotFieldNumber.txt for point data, where experiment is rcp26, rcp45 or rcp85. domain and pilotFieldNumber <table> <tbody> <tr> <td> domain </td> <td> domain location (min and max. Longitude, min and max latitude) </td> <td> pilotFieldNumber </td> <td> pilot field location (longitude, latitude) </td> <td> case study number </td> <td> country </td> <td> Name (OPTAIN case study) </td> </tr> <tr> <td> 01 </td> <td> 50.95 51.45 14.55 15.05 </td> <td> </td> <td>   </td> <td> 1 </td> <td> DEU </td> <td> Schoeps </td> </tr> <tr> <td> 02 </td> <td> 46.35 47.05 6.55 7.15 </td> <td> 2 </td> <td> 46.816667 6.95 </td> <td> 2 </td> <td> CHE </td> <td> Petite Glane </td> </tr> <tr> <td> 02_1 </td> <td> 46.75 47.25 7.25 7.75 </td> <td> 1 </td> <td> 46.983333 7.466667   </td> </tr> <tr> <td> 02_34 </td> <td> 47.35 47.85 8.35 </td> <td> 3 4 </td> <td> 47.433333 8.516667 47.683333 8.616667 </td> </tr> <tr> <td> 02_5 </td> <td> 46.15 46.65 5.95 6.45 </td> <td> 5 </td> <td> 46.4 6.233333 </td> </tr> <tr> <td> 03a </td> <td> 46.65 47.15 17.45 17.95 </td> <td> 1 2 3 4 </td> <td> 46.92649 17.68246 46.9166 17.68976 46.91283 17.69754 46.91283 17.69723 </td> <td> 3a </td> <td> HUN </td> <td> Csorsza </td> </tr> <tr> <td> 03b </td> <td> 46.45 46.95 16.65 17.15 </td> <td> </td> <td>   </td> <td> 3b </td> <td> HUN </td> <td> Felso Valicka </td> </tr> <tr> <td> 04 </td> <td> 52.35 52.85 18.45 18.95 </td> <td> 1 </td> <td> 52.597469 18.728617 </td> <td> 4 </td> <td> POL </td> <td> Upper Zglowiaczka </td> </tr> <tr> <td> 05 </td> <td> 46.35 46.85 15.35 15.85 </td> <td> </td> <td>   </td> <td> 5 </td> <td> SVN </td> <td> Pesnica </td> </tr> <tr> <td> 06 </td> <td> 46.45 46.95 16.15 16.65 </td> <td> </td> <td>   </td> <td> 6 </td> <td> HUN/SVN </td> <td> Kebele/Kobiljski </td> </tr> <tr> <td> 07 </td> <td> 49.85 50.35 4.75 5.25 </td> <td> </td> <td>   </td> <td> 7 </td> <td> BEL </td> <td> La Wimbe </td> </tr> <tr> <td> 08 </td> <td> 55.15 55.75 23.55 24.05 </td> <td> 1 2 </td> <td> 55.522057 23.799235 55.42233194 23.82580339 </td> <td> 8 </td> <td> LTU </td> <td> Dotnuvele </td> </tr> <tr> <td> 09 </td> <td> 45.45 45.95 9.65 10.15 </td> <td>   </td> <td>   </td> <td> 9 </td> <td> ITA </td> <td> Cherio </td> </tr> <tr> <td> 10 </td> <td> 59.45 59.95 10.75 11.25 </td> <td> 1 2 3 4 5 6 7 8 </td> <td> 59.71949 10.83576 59.6833306 10.8833298 59.6833306 10.8833298 59.665 10.9475 59.665 10.9475 59.841012 10.903597 59.757631 11.072031 59.539623 10.856447 </td> <td> 10 </td> <td> NOR </td> <td> Krogstad </td> </tr> <tr> <td> 11 </td> <td> 46.45 46.95 17.55 18.05 </td> <td> 1 2 </td> <td> 46.658333 17.75583 46.656944 17.75833 </td> <td> 11 </td> <td> HUN </td> <td> Tetves </td> </tr> <tr> <td> 12 </td> <td> 49.35 49.85 14.75 15.25 </td> <td> 1 </td> <td> 49.616837 15.078266 </td> <td> 12 </td> <td> CZE </td> <td> Cechticky </td> </tr> <tr> <td> 13 </td> <td> 55.85 56.35 25.85 26.45 </td> <td>   </td> <td>   </td> <td> 13 </td> <td> LVA </td> <td> Dviete </td> </tr> <tr> <td> 14 </td> <td> 59.75 60.25 17.55 18.05 </td> <td>   </td> <td>   </td> <td> 14 </td> <td> SWE </td> <td> Ingvastaan Lehstaan </td> </tr> </tbody> </table>   modelNumber <table> <tbody> <tr> <td> modelNumber </td> <td> Driving Model (GCM) </td> <td> Ensemble </td> <td> RCM </td> <td> End date </td> </tr> <tr> <td> 1 </td> <td> EC-EARTH </td> <td> r12i1p1 </td> <td> CCLM4-8-17 </td> <td> 31.12.2100 </td> </tr> <tr> <td> 2 </td> <td> EC-EARTH </td> <td> r3i1p1 </td> <td> HIRHAM5 </td> <td> 31.12.2100 </td> </tr> <tr> <td> 3 </td> <td> HadGEM2-ES </td> <td> r1i1p1 </td> <td> HIRHAM5 </td> <td> 30.12.2099 </td> </tr> <tr> <td> 4 </td> <td> HadGEM2-ES </td> <td> r1i1p1 </td> <td> RACMO22E </td> <td> 30.12.2099 </td> </tr> <tr> <td> 5 </td> <td> HadGEM2-ES </td> <td> r1i1p1 </td> <td> RCA4 </td> <td> 30.12.2099 </td> </tr> <tr> <td> 6 </td> <td> MPI-ESM-LR </td> <td> r2i1p1 </td> <td> REMO2009 </td> <td> 31.12.2100 </td> </tr> </tbody> </table>   variable <table> <tbody> <tr> <td> variable </td> <td> description </td> <td> Unit </td> </tr> <tr> <td> Tmean </td> <td> Mean temperature </td> <td> °C </td> </tr> <tr> <td> Tmin </td> <td> Min temperature </td> <td> °C </td> </tr> <tr> <td> Tmax </td> <td> Max temperature </td> <td> °C </td> </tr> <tr> <td> prec </td> <td> Precipitation </td> <td> mm </td> </tr> <tr> <td> solarRad </td> <td> Solar radiation </td> <td> MJ/m2 </td> </tr> <tr> <td> windSpeed </td> <td> Wind speed at 2m </td> <td> m/s </td> </tr> <tr> <td> relHum </td> <td> Relative humidity </td> <td> % </td> </tr> </tbody> </table>   Methodolody Bias correction was done using non-parametric empirical quantile mapping with modified method from R package <a href="https://cran.r-project.org/web/packages/qmap/index.html">qmap</a>. Parameters selected were: corrections for each day of the year using a moving windows for a 31 days; 100 quantiles; wet days corrections for precipitation. The reference period is 1981-2010. The interpolation of gridded bias-corrected climate model simulations to the location was made using universal kriging  with R packages <a href="https://cran.r-project.org/web/packages/automap/index.html">automap</a> and <a href="https://cran.r-project.org/web/packages/gstat/index.html">gstat</a> with (external) variables x, y, x2, y2, x*y, z, where x is latitude, y is longitude, and z is elevation. For Digital Elevation Model <a href="https://webmap.ornl.gov/wcsdown/dataset.jsp?dg_id=10008_1">Shuttle Radar Topography Mission</a> was used. If there was an error using above mentioned variables, the number of variables was reduced to x, y, x*y, z and if there was still an error to x, y, z.   Funding This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862756.

opencc-by-4.0Feb 2022View details →

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Data for Korner et al. "Birds and the Post Tower in Bonn: A case study of light pollution"

Abstract During six consecutive autumn seasons we registered birds that were attracted to an illuminated 41-storey building in Bonn, Germany. Casualties on the ground were disoriented by the light and in most cases collided with the building. All-night observations with numbers of casualties, effective light sources, moon, and weather parameters registered hourly allowed for analyses of the role of these factors for the attraction and disorientation of numerous migratory birds. As expected, the conspicuous façade illumination was responsible for many casualties (fatal or non-fatal). Additionally, the illuminated roof logos and even faint light sources like the emergency lights were attractive and led to casualties. Moon and rain were negatively correlated with casualties, but there was no clear correlation with other weather parameters. Turning off lights was key, but effects of other ex post mitigation measures were limited: shutters were not originally intended for the attenuation of light emissions, control technology was insufficient, and there was a lack of willingness of the building owner to reduce light emissions consistently, even during core bird migration periods. Conservation recommendations are derived from this case study.   Vögel und der &bdquo;Postturm“ in Bonn: Eine Fallstudie zur Lichtverschmutzung In sechs aufeinanderfolgenden Herbstsaisons erfassten wir die Vögel, die an ein beleuchtetes, 41stöckiges Hochhaus in Bonn (Deutschland), den sog. &bdquo;Postturm “ angelockt wurden. Die Opfer am Boden waren aufgrund der Beleuchtung desorientiert und in den meisten Fällen mit dem Gebäude kollidiert. Basierend auf Beobachtungen während des gesamten Nachtverlaufes wurden die registrierten Opfer, die in Betrieb befindlichen Lichtquellen, Mond und Wettervariablen stundenweise dargestellt, um die Bedeutung dieser Faktoren für die Anlockung und Desorientierung zahlreicher Zugvögel zu analysieren. Die auffällige Fassadenbeleuchtung war erwartungsgemäß für die meisten der Todesfälle und Verletzungen verantwortlich. Zusätzlich führten die beleuchteten Firmenlogos auf dem Dach und sogar schwache Lichtquellen wie die Notbeleuchtung zu Opfern durch Anlockung, auch bei ausgeschalteter Fassadenbeleuchtung. Mond und Regen korrelierten negativ mit den Opferzahlen, aber mit anderen Wettervariablen fehlten klare Korrelationen. Das Abschalten der Beleuchtung war ausschlaggebend, während andere nachträgliche Abhilfemaßnahmen wenig wirksam waren: Sonnenschutzlamellen waren ursprünglich beim Einbau nicht dafür konzipiert, Lichtabstrahlung zu reduzieren, die Steuerungstechnik war fehleranfällig und die Bereitschaft der Gebäudeeigentümerin, Lichtemissionen selbst während der Kernzeiten des Vogelzugs konsequent zu reduzieren, war begrenzt. Aus dieser Fallstudie werden Empfehlungen für Schutzmaßnahmen abgeleitet.

opencc-by-4.0Apr 2022View details →

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Supplementary Data - "Analysis of Venusian Wrinkle Ridge Morphometry Using Stereo-Derived Topography: A Case Study from Southern Eistla Regio"

Supplementary data for the manuscript entitled "Analysis of Venusian Wrinkle Ridge Morphometry Using Stereo-Derived Topography: A Case Study from Southern Eistla Regio". Includes data for topographic profiles of wrinkle ridges ("wrinkleridge_profiledata.xlsx"), COULOMB model inputs ("COULOMB_modelinputs.xlsx") and outputs ("COULOMB_modeloutputs.xlsx"), and GIS shapefile data for mapped wrinkle ridges (files labelled "allwrinkleridges" and "studiedwrinkleridges"), topographic profile lines (files labelled "topographicprofilelines"), and the regional profile (files labelled "regionalprofile").

opencc-by-4.0May 2022View details →

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Dataset: Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter

This is the dataset, trained model, and software companion for the paper titled: Characterizing Anti-Asian Rhetoric During The COVID-19 Pandemic: A Sentiment Analysis Case Study on Twitter accepted for the Workshop on Data for the Wellbeing of Most Vulnerable of the ICWSM 2022 conference. The COVID-19 pandemic has shown a measurable increase in the usage of sinophobic comments or terms on online social media platforms. In the United States, Asian Americans have been primarily targeted by violence and hate speech stemming from negative sentiments about the origins of the novel SARS-CoV-2 virus. While most published research focuses on extracting these sentiments from social media data, it does not connect the specific news events during the pandemic with changes in negative sentiment on social media platforms. In this work we combine and enhance publicly available resources with our own manually annotated set of tweets to create machine learning classification models to characterize the sinophobic behavior. We then applied our classifier to a pre-filtered longitudinal dataset spanning two years of pandemic related tweets and overlay our findings with relevant news events.

opencc-by-4.0May 2022View details →

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Raw Data - High resolution electrochemical additive manufacturing of microstructured active materials: case study of MoSx as a catalyst for the hydrogen evolution reaction

The dataset contains raw data that complements the article: High resolution electrochemical additive manufacturing of microstructured active materials: Case study of MoSx as a catalyst for the hydrogen evolution reaction, J. Mater. Chem. A, 2021, 9, 22072-22081. C. Iffelsberger and M. Pumera* https://doi.org/10.1039/D1TA05581J Related to the MSCA Project: 888797 LoCatSpot

opencc-by-4.0Aug 2022View details →

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Replication material for 'The impact of local identities on voting behaviour: A Scouse case study'

This holds the replication material for the paper 'The impact of local identities on voting behaviour: A Scouse case study'

opencc-by-4.0Oct 2022View details →

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High-resolution basin-wide correlations with dynamic time-warping: code and data for a case study from the Usseln Limestone (Late Devonian, Rhenish Massif, Germany)

This dataset accompanies the manuscript of Wichern et al. (GRL, 2024), entitled "Decoding Deep-Time Rhythms: Probing the limit of Stratigraphic Correlation in the Usseln Limestone's (Late Devonian) Time-Specific Facies". It contains both datasets and code.  The dataset concerns samples collected from the Usseln Limestone, a rock unit that underlies the Late Devonian Kellwasser Crisis deposits in the Rhenish Massif, western Germany. The data consists of high-resolution thin-section composite photos, as well as micro-XRF scanning data (both maps and depth records) for three localities. The code contains the workflow to structure and plot the micro-XRF maps and convert them to depth records, as well as the workflow to analyse these depth records using dynamic time warping. Further analytical details can be found in the supporting material of the associated manuscript.

opencc-by-4.0Apr 2024View details →

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Horizon Europe Cluster 2 Award - Case Study - Prof Kath Browne, University College Dublin

Video features Prof Kath Browne, PI on the RESIST Project Team, who share thier refleciton on working on the project funded under the EC Horizon Europe, Pillar 2, Cluster 2 “Culture, Creativity and Inclusive Society”. Video is avialbe on the YouTube channels of: <ul> <li>Irish Marie Skłodowska-Curie Office <a href="https://youtu.be/-yWMLGxVz0w?feature=shared" target="_blank" rel="noopener">https://youtu.be/-yWMLGxVz0w?feature=shared</a> </li> <li>RESIST Project Videos <a href="https://www.youtube.com/@resistproject/playlists" target="_blank" rel="noopener">https://www.youtube.com/@resistproject/playlists</a></li> </ul>

opencc-by-sa-4.0May 2023View details →

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Quantifying the basic reproduction number and the under-estimated fraction of mpox cases around the world at the onset of the outbreak: a mathematical modeling and machine learning- based study

In 2022, there was a global resurgence of mpox, with different clinico-epidemiological features compared with previous outbreaks. During this resurgence, sexual contact was hypothesized as the primary transmission route, with the community of men having sex with men (MSM) being disproportionately affected. Because of the stigma associated with sexually transmitted infections, especially those impacting MSM, the real burden of mpox could be masked. We quantified the basic reproduction number (R0) and the under-estimated fraction of mpox cases in 16 countries, from the onset of the outbreak until early September 2022, using Bayesian inference and a compartmentalized, risk-structured (high- and low-risk populations), two-route (sexual and non-sexual transmission) mathematical model. Machine learning (ML) was leveraged to identify under-estimation determinants. Estimated R0 ranged between 1·37 (Canada) and 3·68 (Germany). The under-estimation rates for the high- and low-risk populations varied between 25-93% and 65-85%, respectively. The estimated total number of mpox cases, relative to the reported cases, is highest in Colombia (3·60) and lowest in Canada (1·08). In the ML analysis, two clusters of countries could be identified, differing in terms of attitudes towards the 2SLGBTQIAP+ community and importance of religion. Given the substantial mpox under-estimation, surveillance should be enhanced and campaigns against the stigmatization of MSM should be organized. Countries have different social characteristics, potentially explaining the various degrees of under- reporting in mpox cases, which should be considered by studies assessing the effectiveness of community-based interventions.

opencc-by-4.0May 2024View details →

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Genomic incongruence accompanies the evolution of flower symmetry in Eudicots: a case study in the poppy family (Papaveraceae, Ranunculales)

Nuclear and plastid datasets and phylogenomic workflow associated to "Genomic Incongruence Accompanies the Evolution of Flower Symmetry in Eudicots: a case study in the poppy family (Papaveraceae, Ranunculales)", published in Frontiers in Plant Science 15:1340056. This compressed file (poppy_repo.zip) contains a markdown readme file (poppy_readme.md) describing the phylogenomic workflow followed, as well as two dataset folders (poppy_nuc and poppy_pl) divided into four (aln_nuc, gtr_nuc, sptr_nuc, and chrono_nuc) and three (aln_pl, sptr_pl, and chrono_pl) subfolders, respectively. The nuclear folder (poppy_nuc) comprises shrunk and trimmed alignments (aln_nuc), ML gene trees (gtr_nuc), coalescent species trees (sptr_nuc), and a time tree (chrono_nuc). The plastid folder (poppy_pl) comprises shrunk and trimmed alignments (aln_pl), a concatenated ML species tree (sptr_pl), and a time tree (chrono_pl). The research article is available at https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2024.1340056 (doi: 10.3389/fpls.2024.1340056).

opencc-by-4.0May 2024View details →

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Applications and raw data for SciPipe genomics and transcriptomics case studies

Accompanying applications and raw data for the genomics and transcriptomics (RNA-Seq) case studies for SciPipe [1] available at https://github.com/pharmbio/scipipe-demo  [1] http://scipipe.org

opencc-by-4.0Jul 2018View details →

zenodo44/100

Continuous monitoring of patient mobility for 18 months using inertial sensors following traumatic knee injury: a case study

This repository contains raw data relating to: Continuous monitoring of patient mobility for 18 months using inertial sensors following traumatic knee injury: a case study Mueller A., Hoefling H., Nuritdinow T., et al. DOI: 10.1159/000490919 Metadata and processed data derived from the raw data deposited here is available here: https://github.com/Novartis/mueller_et_al_2018 Article Abstract Continuous patient activity monitoring during rehabilitation, enabled by digital technologies, will allow the objective capture of real-world mobility and aligning treatment to each individual’s recovery trajectory in real time. To explore the feasibility and added value of such approaches, we present a case study of a 36-year-old male participant monitored continuously for activity levels and gait parameters using a waist-worn inertial sensor following a tibial plateau fracture on the right side, sustained as a result of a high-energy trauma during a sporting accident. During rehabilitation, data were collected for a period of 553 days, with > 80% daytime compliance, until the participant returned to near full mobility. The participant completed a daily diary with the annotation of major events (falls, near falls, cycling periods, or physiotherapy sessions) and key dates in the patient’s recovery, including medical interventions, transitioning off crutches, and returning to work. We demonstrate the feasibility of collecting, storing, and mining of continuous digital mobility data and show that such data can detect changes in mobility and provide insights into long-term rehabilitation. We make both raw data and annotations available as a resource with the aspiration that further methods and insights will be built on this initial exploration of added value and continue to demonstrate that continuous monitoring can be deployed to aid rehabilitation.

openapache2.0May 2018View details →

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