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86 results for “materials project”
Complementary material of the WorkStream 1 of project 4SECURail
<p>Deliverables, models, artifacts developed within WP2 of the Shift2Rail project 4SECURAil.</p>
Translated Emission Pathways (TEPs): Long-Term Simulations of COVID-19 CO2 Emissions and Thermosteric Sea Level Rise Projections - Supplementary Materials
<p>Supplementary materials for Gonzalez, A. R., & Lin, T. (2022). Translated Emission Pathways (TEPs): Long-Term Simulations of COVID-19 CO<sub>2</sub> Emissions and Thermosteric Sea Level Rise Projections. <em>Earth's Future</em>. In Press.</p> <p><strong>Summary: This study introduces climate science to a broader audience by presenting an accessible research framework and environmental data related to the ongoing COVID-19 pandemic. A series of translated emission pathways (TEPs) were constructed based on the CO<sub>2</sub> emission patterns from the various phases of COVID-19 response. In addition to resembling the forcing scenarios used within climate research, a thermosteric sea level rise analysis was incorporated to further emphasize the environmental benefits that can be obtained from long-term sustainability. As a promising start for including the general public in climate change discussion, this research promotes collective environmental action that mirrors the recommendations of the scientific community.</strong></p>
Usage and Attribution of Stack Overflow Code Snippets in GitHub Projects — Supplementary Material
<p><em>Background:</em> Stack Overflow (SO) is the largest Q&A website for software developers, providing a huge amount of copyable code snippets. Using those snippets raises various maintenance and legal issues. SO’s license (CC BY-SA 3.0) requires attribution, i.e., referencing the original question or answer, and requires derived work to adopt a compatible license. While there is a heated debate on SO’s license model for code snippets and the required attribution, little is known about the extent to which snippets are copied from SO without proper attribution.</p> <p><em>Aim:</em> Our main goal was to analyze how often code from SO posts is used in public GitHub projects, but not attributed as required by the license. Further, we wanted to investigate if developers are aware of SO’s license and its implications, and to what degree they adhere to the attribution requirements defined in SO’s terms of service.</p> <p><em>Method:</em> We present results of a large-scale empirical study analyzing the usage and attribution of non-trivial Java code snippets from SO answers in public GitHub projects. We followed three different approaches to triangulate an estimate for the ratio of unattributed usages and conducted two online surveys with software developers to complement our results.</p> <p><em>Results:</em> For the different sets of projects that we analyzed, the amount of projects containing files with a reference to SO varied between 3.3% and 11.9%. We found that at most 1.8% of all analyzed repositories containing code from SO used the code in a way compatible with CC BY-SA 3.0. Moreover, we estimate that at most a quarter of the copied code snippets from SO are attributed as required, i.e., using a link in a source code comment. About half of the surveyed developers admitted copying code from SO without attribution. Furthermore, about two thirds of them were not aware of the license of SO code snippets and its implications.</p>
Phanerozoic-scope supplementary material to "The Cretaceous World: Plate Tectonics, Paleogeography, and Paleoclimate" from the PALEOMAP project
<p>Phanerozoic Supplemental Materials for the study ‘<em>The Cretaceous World: Plate Tectonics, Paleogeography and Paleoclimate</em>’ by C.R. Scotese C. Vérard, L. Burgener, R. P. Elling and A.T. Kocsis (<a href="https://doi.org/10.1144/sp544-2024-28">https://doi.org/10.1144/sp544-2024-28</a>). Please cite this article if you use any material here in your publication.</p> <p>Please see the included '<em>Phanerozoic Supplemental Materials Explanation.docx</em>' document for description of supplementary items and table of contents. </p>
Supplementary material for the article "High-resolution projections of ambient heat for major European cities using different heat metrics"
<p>This dataset contains the data displayed in the figures or the article "High-resolution projections of ambient heat for major European cities using different heat metrics".</p> <p>The different files contain:</p> <ul> <li>Data_Fig1_DeltaTXx_EURO-CORDEX_1981-2010_to_3K-European-warming_RCP85.nc:<br> Change of yearly maximum temperature in Europe between 1981-2010 and 3 °C European warming relative to 1981-2010.</li> <li>Data_Fig2_timeseries-GSAT-ESAT_EURO-CORDEX_CMIP5_CMIP6_1971-2100_RCP85_SSP585.xlsx:<br> Time series of global mean surface air temperature (GSAT) for CMIP5 and CMIP6 models, and for European mean surface air temperature (ESAT) for EURO-CORDEX, CMIP5, and CMIP6 models for the period 1971-2100.</li> <li>Data_Fig3_TX-distribution_distance-from-city-centre_E-OBS_1981-2010.xlsx:<br> Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for E-OBS for all investigated cities. Temperature data are indicated as a function of the distance to the city centre.</li> <li>Data_Fig3_TX-distribution_distance-from-city-centre_ERA5-Land_1981-2010.xlsx:<br> Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for ERA5-Land for all investigated cities. Temperature data are indicated as a function of the distance to the city centre.</li> <li>Data_Fig3_TX-distribution_distance-from-city-centre_EURO-CORDEX_1981-2010.xlsx:<br> Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for the EURO-CORDEX models for all investigated cities. Temperature data are indicated as a function of the distance to the city centre.</li> <li>Data_Fig3_TX-distribution_distance-from-city-centre_weather-stations_1981-2010.xlsx:<br> Distribution of average daily maximum temperature in summer (June, July, August) in 1981-2010 for GSOD and ECA&D stations for all investigated cities. Temperature data are indicated as a function of the distance to the city centre.</li> <li>Data_Fig4_TX-ambient-heat_EURO-CORDEX_3K-European-warming.xlsx:<br> Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for EURO-CORDEX models.</li> <li>Data_Fig5_Contribution-of-explanatory-variables-to-total-explained-variance.xlsx:<br> Contribution of different explanatory variables (climate and location factors) to the total explained variance of spatial patterns of heat metrics.</li> <li>Data_Fig6_TN-ambient-heat_EURO-CORDEX_3K-European-warming.xlsx:<br> Nighttime heat metrics for the investigated cities: HWMId-TN at 3 °C European warming relative to 1981-2010, TN exceedances above 20 °C at 3 °C European warming relative to 1981-2010, and TNx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for EURO-CORDEX models.</li> <li>Data_Fig7_TX-ambient-heat_CMIP5_3K-European-warming.xlsx:<br> Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for CMIP5 models.</li> <li>Data_Fig7_TX-ambient-heat_CMIP6_3K-European-warming.xlsx:<br> Daytime heat metrics for the investigated cities: HWMId-TX at 3 °C European warming relative to 1981-2010, TX exceedances above 30 °C at 3 °C European warming relative to 1981-2010, and TXx change between 1981-2010 and 3 °C European warming relative to 1981-2010 for CMIP6 models.</li> <li>Data_Fig8_GCM-RCM-matrix_ambient-heat_3K-European-warming.xlsx:<br> GCM-RCM matrices for the three heat metrics.</li> </ul>
Material of the experiment "More is Less" from the MapMuxing project
<p>This dataset contains the material of a user survey presented in the paper " More is Less - Adding Zoom Levels in Multi-Scale Maps to Reduce the Need for Zooming Interactions".</p> <p>There are several files in the dataset:</p> <ul> <li>the Tiles.zip contained all the tiles of the 5 multi-scale maps used in the experiments.</li> <li>The route.shp shapefiles contains the routes the participants were asked to follow during each trial</li> <li>instructions.doc is the reproduction of the instructions given to each participant prior to the survey. The document is in French.</li> <li>FormulaireConsentement.docx is the consent form the participant had to sign before the survey. It is also in French.</li> <li>script.r contains the R scripts run to analyse the results.</li> <li>qualitative_results.xlsx contains the qualitative information collected during the survey. Most of the information stored in the file is in French.</li> <li>quantitative_results.xlsx contains the quantitative results (completion time, nb of errors, etc.) for each participant and each trial.</li> </ul>
MMORS Final Year Project: Supplementary Materials
<p>The two files uploaded here are data sets obtained from a final year project completed at Cardiff University, School of Mathematics. For more information regarding this project and the data sets, please see the corresponding GitHub Repository. < <a href="https://github.com/shapperzsm/final-project">https://github.com/shapperzsm/final-project</a> ></p> <p>- The `main.db' file contains results obtained from a large Iterated Prisoner's Dilemma experiment focusing on the probability of defection for varying game-ending probabilities. </p> <p>- The `main.csv' file was created from the database. It contains the game-ending probabilities at which playing `defector' was no longer a rational action.</p>
Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects - Supplementary Material
<p>This is the Supplementary Material provided for the work accepted on HICSS 2021.</p> <p>Title of work: Ethical Perspectives in AI: A Two-folded Exploratory Study From Literature and Active Development Projects.</p> <p> </p> <p> </p> <p>This dataset depicts 589 GitHub README files explored in our article. We devised each repository into 4 categories. AI Applications (78), reference lists (486), Explainable AI tool (6), Ethical AI tool (15). Moreoveer, 4 repositories could not be found, and 181 of them had a Programming Language. In addition, we classified them according to our judgement of Interesting (82) or Great (33), regarding the objectives of our work. 75 repositories were not related to AI Ethics, and 7 of them mentioned COVID-19 in their repositories in some manner. Highlighted repositories in red pertain to categories 3 and 4, that is, tools for implementing AI Ethics, while those in yellow are marked as “Great”.</p> <p>Explainable AI tool and Ethical AI tool were added to 21 occurrences of tools for implementing AI ethics publicly available in repositories. Furthermore, it is seen that many papers open-sourced their codes on GitHub (as in https://github.com/lopusz/awesome-interpretable-machine-learning), meaning that the academic field has also made good progress in implementing ethics in AI, hence, the combined energy of both sources fosters an enhanced debate and stimulates progress towards AI ethics in practice.</p>
Material requirements for future low-carbon electricity projections in Africa - dataset
<p>This dataset is provided to supplement the paper "Material requirements for future low-carbon electricity projections in Africa".</p> <p>The paper calculated the material requirements of proposed electricity systems based on the <a href="https://zenodo.org/record/3521841#.YTHYP44zaUk">JRC-TEMBA </a>projections of African electricity systems, including the embodied emissions resulting from such systems from 2015 to 2065.</p> <p>The data included in this repository covers the total mass of materials, embodied emissions, and jobs created given by country, year and/or region.</p>
In-network data collection and data processing - Supplementary materials for deliverable D5.1 - EU-H2020 FET project 'Watchplant'
<p>Supplementary material for D5.1 - Watchplant. Contains collected dataset from plant experiments with blue and red light stimuli, classification results based on statistical methods, and plots of the recorded electropotentials.</p>
Water Isotherms of Adsorbent Materials Evaluated in the Hycool Project
<p>This data is a collection of water adsorption equilibria measured on a selection of water adsorbent materials.<br> They were produced by E. Piccoli (Empa) and revised by V. Brancato and A. Frazzica (CNR-ITAE) and by S. Galmarini (Empa).<br> The methods used to characterize the materials are described in [1], using a DVS Endeveour instrument from SMS. More details can be found in [2].<br> This work was performed in the framework of the project "HyCool: Industrial Cooling through Hybrid system based on Solar Heat", funded by the European Commission H2020 Programme under Grant Agreement No. 792073.</p>
STRIDE I-5 Project Materials
<p>This folder contains products developed from STRIDE I-5 project.</p> <p><span>This project builds on a previously funded STRIDE project (D4) where a simulation extension was built using the micro simulator VISSIM to accurately represent vehicle autonomy and connectivity, and their operational and environmental effects.</span></p> <p><span>In this project, the research team expanded the functionality of the simulation extension to:</span></p> <p><span>i.<span> </span>Model human driven vehicles in the presence of AVs. An aggressive merging behavior model was implemented in VISSIM to study potential queue-jumping behavior at a freeway on-ramp. The research team also considered implementing this model in the open-source simulator SUMO.</span></p> <p><span>ii.<span> </span>Consider advanced vehicle dynamics and enable users to customize driver, vehicle, operating environment, and operating mode separately.</span></p> <p><span>iii.<span> </span>Incorporate a real-time optimization tool (RIO) previously developed with funding from the National Science Foundation (NSF). RIO jointly optimizes vehicle trajectories and signal control by taking advantage of CAV technologies.</span></p> <p><span> </span></p> <p><span>In this project, the research team conducted the following educational activities:</span></p> <p><span>i.<span> </span>Developed and conducted a nation-wide survey to understand the needs of the CAV education.</span></p> <p><span>ii.<span> </span>Developed six instructional modules for CAV education.</span></p> <p><span>iii.<span> </span>Developed a training module to model CAVs in microsimulation environment.</span></p> <p><span> </span></p> <p><span>The products developed from this project are:</span></p> <p><span>i.<span> </span>An enhanced simulation extension that can be used as a “plug and play” solution to model CAVs and human driven vehicles in presence of CAVs with options to consider advanced vehicle dynamics and incorporate signal/trajectory optimization.</span></p> <p><span>ii.<span> </span>Educational modules on how CAVs impact planning, design, modeling, and analysis of transportation facilities along with a training module to model CAVs using VISSIM.</span></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>
The MASTRO Video presenting the project´s dissemination material
<p>Take a look the our video presenting the dissemination material designed during the project´s implementation. </p>
GEOLAB - Transnational Access project LIWEMAT – Deformation characterisation of LIghtWEight foundation MATerials
<p>Proper use of lightweight materials as construction material for various types of infrastructure brings a lot of advantages to European critical infrastructure related to weight reduction and prevention of progressive heating or freezing of its structural elements.</p> <p>Large-scale Triaxial Apparatus was used to perform the loading tests, which enables the characterization of materials at very small strain ranges with a very high accuracy level of load-displacement control. The apparatus has rigid confining aluminum frames with a height of 3 cm and cross-section of 40 x 40 cm, enabling prismatic specimens with a height of up to 80 cm to be tested.</p> <p>This research aims to determine the characteristics of expanded clay and foamed glass aggregates through laboratory testing, performing cyclic loading for the stiffness and damping evaluation, which would be beneficial parameters for numerical simulations.</p> <p>Testing material</p> <p>The foam glass aggregate has a homogeneous microstructure with approximate uniform shape and sizes. Foam glass aggregate is considered one of the best solid isolation materials with several unique properties. It can be widely used in many applications such as basement walls, foundations, floors and roofs, terrace and garden covers, rooftops, and parking areas.</p> <p>The expanded clay aggregate is round shape with different sizes with small, air-filled cavities, with dark brown, reddish, brown-red or gray colors, which depends on the chemical composition of the expanded clay. The lightweight expanded clay aggregate has bulk density from 250 kg/m<sup>3</sup> to 710 kg/m<sup>3</sup>, mostly dependent on the size of the aggregate.</p> <p> </p>
Supplementary material for "Measurement of volume change and mass transfer during serpentinisation: insights from the Oman Drilling Project" (JGR Solid Earth)
<p>The three supplementary files include one figure displaying the results of X-ray microtomography (File S1), two compilations of figures dealing with the volume change measurement (Files S2 and S3) and a table with the measured compositions in major and trace elements (Table S1).</p> <p>File S1 (Malvoisin_ds01.pdf). Result of X-ray microtomography. Olivine and Fe-brucite have a similar attenuation. The grains segmented by selecting this attenuation are displayed with a circle with a size proportional to the radius of a sphere of equivalent volume. The color of each circle depends on <em>e</em>, the aspect ratio (ratio of the length of the minimum and maximum axes of an ellipsoid fitted to each grain). The white arrow indicates the location of the main central vein. Grains near the main central vein have a lower <em>e</em> attributed to the platy habitus of Fe-brucite. The other grains are considered as olivine and used for the calculation of the extent of reaction.</p> <p>File S2 (Malvoisin_ds02.pdf). Optical photomicrographs used to calculate volume change during reaction (see main text for details about the calculation). Olivine grains (white) are surrounded by the serpentine + brucite mixture (light green to yellowish). The magnetite/clinopyroxene platelets are mapped in blue in olivine and in red in the serpentine + brucite mixture. The results of the model fitting the best the average orientation of the platelets in olivine are shown in green. The title of each photomicrograph provides the minimum and maximum estimates for volume change calculated with this model (see details about the calculation in the main text), and the size of the bottom right scale bar.</p> <p>File S3 (Malvoisin_ds03.pdf). Histograms of magnetite/clinopyroxene platelet orientation (in degree). Each histogram corresponds to a photomicrograph of File S1. The order of the histograms and the photomicrographs is the same. The orientations in the olivine grains, the serpentine + brucite mixture and for the model fitting the best the average orientation in olivine are displayed in blue, red and green, respectively. The title of the histograms provides the standard deviation of the platelet orientation in the olivine grains (STD<sub>oli</sub>), the serpentine + brucite mixture (STD<sub>ori</sub>) and calculated with the model fitting the best the orientation in olivine (STD<sub>cal</sub>).</p> <p>Table S1 (Malvoisin_ds01.xlsx). Composition in major and trace elements measured with LA-ICPMS along five profiles perpendicular to the main vein. The composition as a function of the distance to the main vein is provided. The name of the tabs indicates if the profile was acquired in spot or in continuous mode (the two modes are described in the main text).</p>
Official video of the MASTRO project focusing on Intelligent bulk MAterials for Smart TRanspOrt industries
<p>Take a look at our video presenting the concept and objectives of the MASTRO project!</p> <p> For more information visit our website: <a href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbTc3WEE1aEdrUHc5ek1HRmEwSWdWcXZrcTlRUXxBQ3Jtc0ttZzJqYVRWTjZqbFZvTnRuNkFKdDhXNlc0T3hDMVQ2VFZnQjNucVZHVm8xZWtWa21iNWRldmxqSFhNYWphZDRVdndsTVhFTmVxR3dzXzhRbGZTMjdsRmF2NzdwakJOLXJfSlV4dVlVbHlHU3JITzB6TQ&q=https%3A%2F%2Fwww.mastro-h2020.eu%2F">https://www.mastro-h2020.eu/</a> </p>
Supplementary material 3: List of tested and analyzed data sharing tools (non-exhaustive) from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
List of tested and analyzed data sharing tools (non-exhaustive)
Supplementary material 2: Definitions and Concepts from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
Definitions and concepts in the context of the main paper.
Supplementary material 1: List of selected tools. from: Data sharing tools adopted by the European Biodiversity Observation Network Project - Research Ideas and Outcomes 2: e9390 (31 May 2016) https://doi.org/10.3897/rio.2.e9390
List of selected tools.
ScienceDex guides
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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)
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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.