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18,658 results for “impacts”
Data for "Impact of the Out-of-Plane Flow Shear on Magnetic Reconnection at the Flanks of Earth's Magnetopause"
<p>Data for Figures 3-8 in the paper (data for Figures 5 has been updated on 2024-09-20). The data is compatible with all data-analysis software. Here are the guidelines for reading and visualizing the data:</p> <p>(1) The filenames "noshear", "MA0p7", and "MA2p3" correspond to the simulation runs with no flow shear, Mach number M_A=0.7 flow shear, and M_A=2.3 flow shear.</p> <p>(2) The "upper" and "lower" mean upper and lower current sheet, corresponding to dusk-side and dawn-side reconnection respectively. For the "noshear" case, only the "upper" is considered.</p> <p>(3) Each data file (*.dat) is written in ASCII format and has multiple columns. The first row is the header.</p> <ul> <li>The first column is always the x-coordinates of the figure. </li> <li>For the line plots, all columns starting from the second column are the y-coordinates for different variables. The variables names can be found at the header. </li> <li>For the 2D image plots, the second column is the y-coordinates, and the third column is the value of the variable at a given (x,y) location. </li> </ul> <p>(4) The files "fig4_*_field_*.dat" are the magnetic potential in the x-y domain. The contour of this potential gives the in-plane field line configurations.</p>
Respondents' perspectives on the impact of digital data-based health services on disaster risk management in Indonesia.
<p>This data contains respondents' perspectives on the impact of digital data-based health services on disaster risk management. Digital health services are the implementation of digital, information, and communication technologies in the context of health services. Digital health services include: mHealth, Health Information Technology, Wearable Devices, Telehealth and Telemedicine, and Personalized Medicine. </p> <p>Data was collected and processed as part of the ODDEA (Overcoming Digital Divide Between Europe and Southeast Asia) EU research project (Project ID: HORIZON MSCA-SE 101086381) would be advisable.</p>
Case study on hereditary divergence and its impact on glaucoma
<p>The data extracted from the <a href="http://Disgenet.org/">DisGeNET </a>database are processed using available open sources tools (VEP, polyphen, SIFT, and ClueGo). The process of data analysis is given in the book chapter.</p>
The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia
<p>This is a basic set of variables used in the paper "The long-term impact of church activity on social capital: lessons from post-war Czechoslovakia", co-authored by Štěpán Mikula (Masaryk Unversity, IZA), Fabio Sabatini (Sapienza University of Rome, IZA), and Tommaso Reggiani (Cardiff University, Masaryk Unversity, IZA). The first draft of the paper is available as a MUNI ECON working paper (<a href="https://doi.org/10.5817/WP_MUNI_ECON_2023-03" target="_blank" rel="noopener">DOI 10.5817/WP_MUNI_ECON_2023-03</a>), which also includes a detailed data description.</p> <p>The current dataset is restricted to variables that are available from open sources. We are not allowed to share the complete set of variables publically.</p> <p>The table contains the following variables:</p> <ul> <li>KOD_OBEC...Municipality ID defined by <a href="https://apl2.czso.cz/iSMS/cisdet.jsp?kodcis=43">CISOB codebook</a>.</li> <li>dieceze...Diocese name (as defined in pre-1989 period)</li> <li>year</li> <li>church...Indicator variable for the presence of a church building in the municipality in 1945</li> <li>ngo_all...Density of NGOs</li> <li>ngo_other...Density of church-unrelated NGOs</li> <li>ngo_church...Density church-related NGOs</li> <li>priest_years...priests' tenure (years)</li> <li>ger_share...Share of ethnic Germans in 1930 (<a href="https://doi.org/10.1016/j.jue.2021.103385">Guzi et al. 2021</a>)</li> <li>population1950...Population in 1950 (<a href="https://csu.gov.cz/produkty/historicky-lexikon-obci-1869-az-2015">Historický atlas</a>)</li> <li>TRI_mean...Terrain Roughness Index</li> <li>CZdist...Distance to the country border</li> </ul>
Prioritizing forestation based on biogeochemical and local biogeophysical impacts - data
<p>Output data produced in "Prioritizing forestation based on biogeochemical and local biogeophysical impacts"</p> <p>Contact: michael.gregory.windisch@alumni.ethz.ch; edouard.davin@wyssacademy.org</p> <p>Content: Global output data of BGC, BGP, and combined effect of forestation and forest conservation in NetCDF4 files of 0.083° resolution</p> <p>Naming Key:<br> {effect}_{LUaction}_{season}_TCR_{TCR}_{stat}.nc</p> <p>Naming List:<br> effect_list = ["dC","dT","full"] # BGC only, BGP only, Combined effect<br> LUaction_list = ["defor", "refor"] # Forest conservation action, Forest establishment action<br> season_list = ["Annual", "JJA", "DJF"] # Yearly values, Boreal summer values (June, July, August), Boreal winter values (December, January, February)<br> TCR_list = ["local", "global"] # Local climate response as translator to CO2 equivalent, Global climate response as translator to CO2 equivalent<br> stat_list = ["median", "STD"] # Median values between all input datasets, Standard deviation values between all input datasets </p>
Breaking Bad? Semantic Versioning and Impact of Breaking Changes in Maven Central (Dataset)
<p>The content presented in this repository accompanies the paper "Breaking Bad? Semantic Versioning and Impact of Breaking Changes in Maven Central" authored by Lina Ochoa, Thomas Degueule, Jean-Rémy Falleri, and Jurgen Vinju. The paper was submitted and accepted in the Journal of Empirical Software Engineering (EMSE'21). This study is an external and differentiated replication study of the paper <a href="https://jstvssr.github.io/assets/pdf/semantic-versioning-maven.pdf">"Semantic Versioning and Impact of Breaking Changes in the Maven Repository"</a> presented by Steven Raemaekers, Arie van Deursen, and Joost Visser.</p> <p><strong>Content</strong></p> <ul> <li><strong>README.md: </strong>document with the main description to start exploring the bundle.</li> <li><strong>data.zip: </strong>contains the datasets used within the study. These datasets must be used to get the same results like the ones presented in the article.</li> <li><strong>maven-api-dataset.zip:</strong> contains the code used to generate the datasets and to analyse the obtained results. Check the README.md file within this bundle for more information.</li> </ul> <p><strong>Relevant Links</strong></p> <ul> <li><strong>maven-api-dataset repository:</strong> <a href="https://github.com/tdegueul/maven-api-dataset">https://github.com/tdegueul/maven-api-dataset</a></li> <li><strong>maracas repository:</strong> <a href="https://github.com/crossminer/maracas">https://github.com/crossminer/maracas</a></li> <li><strong>Companion webpage:</strong> <a href="https://crossminer.github.io/maracas/2021/08/16/emse21/">https://crossminer.github.io/maracas/2021/08/16/emse21/</a></li> </ul>
IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 2nd Web-Delphi process to HTA stakeholders, organized in a single panel
<p>IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 2<sup>nd</sup> Web-Delphi process to HTA stakeholders, organized in a single panel (all stakeholder groups in a single panel, 2 rounds), about the views of stakeholders regarding “This aspect should be considered in the evaluation of new medicines on a common basis” (2019)</p> <p>For details on the Web-Delphi process, see: IMPACT HTA, Work Package 7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2, Deliverable 7.2 (Multi-criteria evaluation framework), Advancing knowledge and MCDA tools to assist HTA agencies in evaluating medicines on a common basis (2021) Oliveira, M.D. (IST), Panos Kanavos (LSE), Bana e Costa, C. (IST)</p>
IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1st Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels
<p>IMPACT HTA, WP7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2 (Multi-criteria evaluation framework), Results of the 1<sup>st</sup> Web-Delphi process to HTA stakeholders, organized into 6 separate parallel panels (one panel per stakeholder group, 2 rounds), about the views of stakeholders regarding “This aspect should be considered in the evaluation of new medicines on a common basis” (2019)</p> <p>For details on the Web-Delphi process, see: IMPACT HTA, Work Package 7 (Methodological tools using multi-criteria value methods for HTA decision-making), Task 2, Deliverable 7.2 (Multi-criteria evaluation framework), Advancing knowledge and MCDA tools to assist HTA agencies in evaluating medicines on a common basis (2021) Oliveira, M.D. (IST), Panos Kanavos (LSE), Bana e Costa, C. (IST)</p>
Impact of the PSR J0740+6620 radius constraint on the properties of high-density matter : Weighted Monte Carlo samples for neutron star observables
<p>This data release contains weighted Monte Carlo samples associated with</p> <p>Legred, Chatziioannou, Essick, Han, and Landry, 2021</p> <p>"Impact of PSR J0740+6620 radius constraint on the properties of high-density matter"</p> <p>Phys. Rev. D 104, 063003;</p> <p>doi:10.1103/PhysRevD.104.063003</p> <p> </p> <p> </p> <p> </p> <p> </p>
Impact of nonlinear hydrodynamic modelling on geometric optimisation of a spherical heaving point absorber
<p>Due to the amount of iterative computation involved, researchers involved in geometric optimisation of wave energy devices typically employ linear hydrodynamic models. However, the exaggerated motion of wave energy devices, aided by energy maximising control action, challenges the assumptions upon which linear hydrodynamic modelling relies. Furthermore, the optimal device geometry is also sensitive to the nature of the energy-maximisation controller employed, and to the set of wave conditions over which the optimisation is carried out.<br> <br> In order to focus on the essential issues, this study takes the simplest possible device for optimisation, a heaving sphere (with just one free parameter), but one which exhibits nonlinear hydrodynamic characteristics, due to the non-uniform cross-sectional area. The study examines the sensitivity to the inclusion of nonlinear Froude-Krylov forces. In addition, the sensitivity of the optimal device size to differences in the applied control algorithm is also studied, as are effects due to different representative sea state representations and performance evaluation criteria.</p>
Microfossildataset "Alpine glacier reveals ecosystem impacts of Europe's prosperity and peril over the last millennium"
<p>Full palynological dataset from Colle Gnifetti glacier in the Monte Rosa Massif (Swiss Alps; 45°55'45.7'' N, 7°52'30.5'' E; 4450m a.s.l.)</p> <p>The dataset contains raw counts for pollen, ferns, NPP (Non-pollen palynomorphs), microscopic charcoal concentrations.</p> <p>Ice core depths are given as m weq = meters waterequivalent.</p> <p>Chronology is based on Jenk et al. (2009) and Sigl et al. (2018). "yr. BP" indicates "years before present" with "present" defined as 1950 CE.</p> <p>Further information on the dataset is given in the paper "Alpine glacier reveals ecosystem impacts of Europe’s prosperity and peril over the last millennium" by Brugger et al. published in Geophysical Research Letters.</p> <p> </p>
Mars orbital images of fresh impacts from CTX
<p><strong>Mars orbital images of fresh impacts from CTX</strong></p> <p>This data set contains images obtained from observations of Mars by the Context Camera (CTX) on the Mars Reconnaissance Orbiter. Each image in this collection is a cropped region of roughly 1.8 x 1.8 km (300 x 300 pixels at 6 m/pixel). The data set consists of "positive" images centered on the location of known fresh impacts on the surface of Mars (using a fresh impact catalog [1]) and "negative" examples obtained by randomly sampling CTX images (uniformly over the surface of Mars).</p> <p><strong>Contents</strong></p> <p>The 6829 images are divided into training and validation sets to capture the configuration used to train a fresh impacts image classifier [2]. However, they can be pooled together as a single data set for other purposes (but note that augmented versions are provided only for the training data). </p> <ul> <li>training_data/: 6156 images + 5 augmented versions per image</li> <li>validation_data/: 673 images (not augmented)</li> </ul> <p>Labels are indicated in the filenames. Positive examples start with a 0, and negative examples start with a - (negative sign).</p> <p>We employed augmentation on the training examples to generate 5 augmented versions per original image. The augmentation is indicated at the end of the filename: </p> <ul> <li>AUG-HF: Horizontal flip</li> <li>AUG-VF: Vertical flip</li> <li>AUG-RO: Rotate (randomly choose 90, 180, or 270 degrees)</li> <li>AUG-CJ: Image adjustment (minor random adjustment to brightness/contrast/saturation/hue)</li> <li>AUG-BL: Blur (Gaussian filter with radius 2) </li> </ul> <p><strong>References</strong> </p> <p>[1] Daubar, I.J., McEwen, A.S., Byrne, S., Kennedy, M.R., and Ivanov, B. (2013). "The current martian cratering rate," Icarus 225, 506-516. doi:10.1016/j.icarus.2013.04.009.</p> <p>[2] Munje, M. (2021). Martian Fresh Impact Classifier (1.0.0). Zenodo. https://doi.org/10.5281/zenodo.552336</p> <p> </p>
Time of emergence of climate change impacts
<p>Expected year in which climate impacts would exceed an extreme past economic shock value (95th percentile).</p> <p>Model used: CLIMRISK</p> <p>Scale: 0.5 degrees * 0.5 degrees</p> <p>Shock database consists of changes in annual GDP between 1950 - 2016.</p> <p>Citation: Ignjacevic, Predrag, Francisco Estrada Porrua, and Willem Jan Wouter Botzen. "Time of emergence of economic impacts of climate change." <em>Environmental Research Letters</em> (2021).</p>
River flooding impacts using CLIMRISK-RIVER
<p>Direct impacts of river flooding using the CLIMRISK-RIVER model. This includes direct impacts to built environment and infrastructure.</p> <p>The damage is expressed as a change in expected annual damage (EAD) w.r.t. 2010. </p> <p>Files include two adaptation assumptions: no additional adaptation and optimal adaptation (using CBA estimates).</p> <p>Units: millions EUR (2015) PPP.</p>
Extended data for "TeenCovidLife: A resource to understand the impact of the Covid-19 pandemic on adolescents in Scotland"
<p>Extended data for "TeenCovidLife: A resource to understand the impact of the Covid-19 pandemic on adolescents in Scotland" Wellcome Open Research submission</p>
Climate change impacts on energy demand
<p>Climate change impacts on energy demand by energy carrier (electricity, natural gas, and petroleum) and sector (agriculture, industry, residential, and commercial).</p>
Landscape composition drives the impacts of artificial light at night on insectivorous bats
<p>Abstract of the related publication :</p> <p>Among the most prevalent sources of biodiversity declines, Artificial Light At Night (ALAN) is an emerging threat<br> to global biodiversity. Much knowledge has already been gained to reduce impacts. However, the spatial variation<br> of ALAN effects on biodiversity in interaction with landscape composition remains little studied, though it is<br> of the utmost importance to identify lightscapes most in need of action. Several studies have shown that, at local<br> scale, tree cover can intensify positive or negative effects of ALAN on biodiversity, but none have – at landscape<br> scale – studied a wider range of landscape compositions around lit sites. We hypothesized that the magnitude of<br> ALAN effects will depend on landscape composition and species’ tolerance to light. Taking the case of insectivorous<br> bats because of their varying sensitivity to ALAN, we investigated the species-specific activity response to<br> ALAN. Bat activity was recorded along a gradient of light radiance. We ensured a large variability in landscape<br> composition around 253 sampling sites. Among the 13 bat taxa studied, radiance decreased the activity of two<br> groups of the slow-flying gleaner guild (Myotis and Plecotus spp.) and one species of the aerial-hawking guild<br> (Pipistrellus pipistrellus), and increased the activity of two species of the aerial-hawking guild (Pipistrellus kuhlii<br> and Pipistrellus pygmaeus). Among these five effects, the magnitude of four of them was driven by landscape composition.<br> For five other species, ALAN effects were only detectable in particular landscape compositions, making<br> the main effect of radiance undetectable without account for interactions with landscape. Specifically, effects<br> were strongest in non-urban habitats, for both guilds. Results highlight the importance to prioritize ALAN reduction<br> efforts in non-urban habitats, and how important is to account for landscape composition when studying<br> ALAN effects on bats to avoid missing effects.</p>
Dataset: Environmental Impact on the Long-Term Connectivity and Link Quality of an Outdoor LoRa Network
<p>This repository contains the long-term connectivity and link quality dataset collected on <a href="https://chirpbox.github.io/">ChirpBox</a> over 4 months (May -- September 2021) in the city of Shanghai, China. </p> <p>In addition to the dataset itself, we provide evaluation scripts for data analysis and visualization, in order to facilitate data exploration and re-use. To make it clear how to use the scripts, we provide a <em>Jupyter notebook -- </em> <strong>dataset.ipynb</strong> for dataset visualization.</p> <p><strong>List of files:</strong></p> <ol> <li><em>dataset_03052021_15092021.csv</em> <ul> <li>The dataset includes LoRa connectivity and link quality, as well as environmental information, collected from May 3 to September 15, 2021.</li> </ul> </li> <li><em>data_analysis.py</em> <ul> <li>The script for dataset analysis and visualization. One can use the functions in this script to derive network-level statistics (e.g., in terms of average number of correctly-exchanged packets), link-level statistics (e.g., in terms of SNR, RSS, and PRR), and node-level statistics(e.g., in terms of number of neighbours and temperature evolution over time).</li> </ul> </li> <li><em>metadata_processing.py</em> <ul> <li>The script for pre-processing metadata into CSV files. One can use the functions in this script to convert metadata for each measurement saved in TXT and JSON formats to CSV files that include attributes such as link quality, connectivity, and environmental information, an example of which is <strong>dataset_03052021_15092021.csv</strong>.</li> </ul> </li> <li><em>dataset.ipynb </em> <ul> <li>The Jupiter notebook contains examples of visualization and metadata pre-processing of datasets with functions in <strong>data_analysis.py</strong> and <strong>metadata_processing.py</strong>.</li> </ul> </li> <li><em>topology_map.png</em> <ul> <li>The node deployment map used to create topology figures. A usage example is <strong>Figure 1</strong> shown in the notebook <strong>dataset.ipynb</strong>.</li> </ul> </li> <li><em>dataset_metadata.zip</em> <ul> <li>The dataset metadata is stored in TXT and JSON formats. Among them, link quality, connectivity and on-board sensor data are stored in TXT files and weather information are stored in JOSN files.</li> </ul> </li> <li><em>README.md</em> <ul> <li>The README.md explains all the files in this repository and gives some examples of how to use the provided scripts to analyze the dataset.</li> </ul> </li> </ol>
Data From: Toward a Better Data Management Plan: The Impact of DMPs on Grant Funded Research Practices
<p>Researchers from Montana State University analyzed 186 National Science Foundation (NSF) data management plans, using the Data Management Plans As a Research Tool (DART) rubric.</p>
Investigating sediment supply impact on centennial saltmarsh biogeomorphic development with Demeter
<p>This repository contains a series of simulations to investigate the impact of (changing) sediment supply on the long-term biogeomorphic development (200 years) of saltmarshes (4 km<sup>2</sup>). The model used is Demeter (https://doi.org/10.5281/zenodo.7101535). </p> <p>Each simulation output file contains:</p> <ul> <li>yearly bottom elevation maps (resolution of 5 m);</li> <li>yearly vegetation coverage maps (resolution of 5 m);</li> <li>yearly hydroperiod maps (resolution of 5 m);</li> <li>yearly exceeding bottom shear impulse maps (resolution of 5 m);</li> <li>vegetation distribution maps every 5 years (resolution of 50 cm).</li> </ul> <p>Each simulation is also processed to compute channel network characteristics with TidalGeoPro (https://doi.org/10.5281/zenodo.7153257), such as:</p> <ul> <li>maximum upstream channel length along channel network skeleton every 20 years (resolution of 5 m);</li> <li>total upstream channel length within tidal watershed along channel network skeleton every 20 years (resolution of 5 m);</li> <li>tidal watershed surface area along channel network skeleton every 20 years (resolution of 5 m);</li> <li>mean unchanneled path length within tidal watershed along channel network skeleton every 20 years (resolution of 5 m);</li> <li>channel cross-section width, depth and area along channel network skeleton every 20 years (resolution of 5 m);</li> <li>yearly unchanneled path length maps (resolution of 5 m).</li> </ul> <p>If you are interested to use this dataset, or collaborate with the authors, please contact Olivier Gourgue (ogourgue@gmail.com).</p>
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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.