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12,393 results for “materiality”
РИС. 1. ОЗеро Дальнее (А) и место обнаруЖениЯ Beringiana beringiana в оЗере (B, С), песчаный грунт в месте обитаниЯ беЗЗубок (D). Стрелками обоЗначено место сбора моллюсков. FIG. 1. Lake Dalneye (A) with the sampling site (B, C), sandy bottom in the habitat of mollusks (D). The arrows indicate the site of material sampling. in Первые данные о морфологии глохидиев двустворчатых моллюсков Beringiana beringiana (Bivalvia, Unionidae) оЗера Дальнее, Камчатка
РИС. 1. ОЗеро Дальнее (А) и место обнаруЖениЯ Beringiana beringiana в оЗере (B, С), песчаный грунт в месте обитаниЯ беЗЗубок (D). Стрелками обоЗначено место сбора моллюсков. FIG. 1. Lake Dalneye (A) with the sampling site (B, C), sandy bottom in the habitat of mollusks (D). The arrows indicate the site of material sampling.
Supplementary material of the manuscript "Beyond authorship: Analyzing disciplinary patterns of contribution statements using the CRediT taxonomy"
<p>Supplementary material of the manuscript "Beyond authorship: Analyzing disciplinary patterns of contribution statements using the CRediT taxonomy". In this research article we present the first cross-disciplinary descriptive analysis on the use of contribution statements. Our main objective is to obtain further insight on contributions by a variety of fields (Multidisciplinary, Health, Life, Physical and Social Sciences) from the largest dataset used up to now. We examine more than 700,000 articles published between 2017 and 2024 in Elsevier and PLOS journals, in combination with bibliometric data extracted from the Scopus database. The descriptive analysis of the dataset focuses on the overall coverage of the merged data, the distribution of authorship and disciplines at paper level, and the interactions between contribution statements, author order and disciplines. Our two main findings indicate that, on the one hand, looking at contributions and authorship order can enrich the way we understand science as a social endeavor. On the other hand, delving deeper into contributorship differences by field is key. We underscore the value of the CRediT taxonomy in unveiling nuanced research dynamics and offering a more equitable framework for evaluation.</p>
EXPLO. Lin 3. Supplementary material for Yermokhin et al., 2025, Dendroarchaeology at Lake Ohrid: Pine Tree-Ring Chronology and 5th Millennium BCE Palisades from the Pile-Dwelling Settlement of Lin 3, Albania
<p>Supplementary data for the article "Dendroarchaeology at Lake Ohrid: Pine Tree-Ring Chronology and 5th Millennium BCE Palisades from the Pile-Dwelling Settlement of Lin 3, Albania, by Maxim Yermokhin, Andrej Maczkowski, Matthias Bolliger, John Francuz, Adrian Anastasi, Krist Anastasi, Ariane Ballmer, Ilirjan Gjipali, Mirco Brunner, Tryfon Giagkoulis, Martin Hinz, Marco Hostettler, Johannes Reich, Sönke Szidat, Albert Hafner submited in Dendrochronologia.</p>
Supplentary materials for: "Long-term ecosystem monitoring along the Trabocchi coast (Chieti, Italy): insights from underwater visual surveys (2011-2024)"
<p>This collection of photos and videos showcases the rich biodiversity of marine fauna and flora along the Trabocchi coast reefs in the Chieti district of Italy.</p>
Supplementary material for: "Who gets the pole position? Spatial and social behaviour of snowfinches at winter feeders in Alpine habitat"
<p><strong>Abstract</strong></p> <p><span>In collective foraging, an individual’s ability to compete with conspecifics can considerably influence its foraging strategy and success. Strong competitors can fight for prioritised access to food, while weak competitors may avoid aggressions and rather seek out less contested foraging opportunities. However, insecure access to food can be detrimental to weak competitors, especially during periods of low and unpredictable resource availability. Here we investigated individual foraging behaviour of White-winged snowfinches <em>Montifringilla nivalis</em>, specialists of alpine habitats and their strategies for coping with competition for food resources in winter. A difference in condition dependence of survival rates between males and females in this species has made us hypothesise that males may be more dominant in accessing food resources than females. We set up artificial experimental food patches in the Swiss Alps to observe foraging male and female snow finches and recorded their behaviour in interactions with conspecifics and their spatial position relative to the food. We found that individuals frequently occupying positions close to the food resources were more involved in agonistic interactions than individuals staying in more distant positions.</span><span> </span><span>This result suggests that different individuals use different foraging strategies, probably depending on their level of competitiveness. Furthermore, we observed males to forage slightly closer to the food source than females,</span><span> </span><span>which could imply that females may have less access to artificial feeders than males. </span></p>
A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 1 (Old East Slavic)
<h1>Old East Slavic charters (XII - XIV century)</h1> <h2>General description</h2> <p>A set of nine historical Old East Slavic legal texts from Smolensk, Polack and Novgorod from the end of the XII century to the first half of the XIV century. The source for Smolensk charters is Avanesov (1963), which contains original texts as well as their initial deciphering (not machine-readable). The source for Polack charters is Horoshkevich (2015), containing trascribed machine-readable texts that required only an additional check and preparation. The source for Novgorod charters is Napierskij (1857), carrying original texts and their initial non-machine-readable deciphering. All the texts underwent an additional preprocessing of reconstructed and contracted parts deletion in order to better represent the actual texts under consideration and exclude as many research biases as it is possible. The last step was a manual tokenisation and the joining of each text into a single string.</p> <p>The data statement is available among the downloadable files.</p> <h2>How-to</h2> <p>This section contains the tutorials that allow to use this data with the intended pipelines.</p> <h3>Corpus-based distance measurement package</h3> <p>The source code for package is available <a href="https://doi.org/10.5281/zenodo.13958502" target="_blank" rel="noopener">here</a>, the manual is available in the <a href="https://github.com/The-One-Who-Speaks-and-Depicts/corpus_distance/blob/dev/README.md" target="_blank" rel="noopener">README</a> section of the repository.</p> <p>To use this dataset for the measurement of distance between Smolensk, Polack and Novgorod lects, and their subsequent clusterisation, following steps should be completed:</p> <ol> <li>Download the <a href="https://github.com/The-One-Who-Speaks-and-Depicts/corpus_distance/blob/dev/example/Corpus_distance_tutorial.ipynb" target="_blank" rel="noopener">Jupyter notebook</a> that streamlines the package use.</li> <li>Download the dataset.</li> <li>Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).</li> <li>Insert the path to the directory into <code>CONTENT_DIR</code> variable in the Jupyter notebook.</li> <li>Run the notebook, adjusting the parameters, if necessary.</li> </ol> <h2> </h2>
Supplementary material for: Testing the peak-end rule in bumblebees: lack of preference for a higher-reward sequence when the final reward is disappointing
<h3>ABSTRACT</h3> <p>The peak-end rule describes the tendency to evaluate experiences by their most intense and final moments, rather than considering the entire experience as a whole. While this cognitive bias is well-established in humans, studies on nonhuman animals are very limited. Bumblebees make foraging decisions largely based on past experiences, but whether peak-end effects influence their subsequent flower choices is still unknown. Here, we trained individual <em>Bombus terrestris</em> workers on two artificial flower types, blue and yellow, over 12 consecutive foraging bouts. One flower type offered a sequence of three high-quality rewards (25 μL drops of 50% w/w sucrose solution: “consistent” sequence), while the other provided the same sequence but ended with an additional, lower-quality reward (25 μL drop of 20% w/w sucrose solution: “poor end” sequence). We then tested the bees' flower type preference in a final binary choice. Bees showed a strong preference for blue flowers, both in their initial and overall visits. Across all visits during a 1-minute period, they also favoured flowers associated with the “consistent” sequence, though this preference was significant only when these flowers were yellow. Interestingly, despite offering more sucrose per foraging bout, bees did not favour the “poor end” sequence flower. This study is, to our knowledge, the first to investigate peak-end effects in an insect. How bees evaluate sequential rewards when foraging remains largely unexplored, yet could provide valuable insights into nectar distribution and plant-pollinator co-evolution.</p>
A hybrid approach to the small unannotated corpus-based language comparison and its application to the Old East Slavic charters - Supplementary material 3 (Modern standard Slavic lects)
<h1>Modern standard Slavic lects (Croatian, Slovak, Slovenian)</h1> <h2>General description</h2> <p>The dataset consists of texts, written in three modern stanard Slavic lects: Croatian, Slovak, and Slovenian. The texts are parallel in order to compensate for the possible genre influences. The text is John’s Gospel in each of the given languages.</p> <h3>Sources</h3> <p>Croatian original text is from the <a href="https://www.wordproject.org/bibles/cr/index.htm">Ivan Šarić’s translation</a> of New Testament. Slovenian text is from the <a href="https://www.bible.com/bible/2319/JHN.1.SSP">standard Slovenian translation</a> of the New Testament. Slovak text is from the modern <a href="https://svatepismo.sk/evanjelium-podla-jana-1">Catholic translation</a> of the New Testament.</p> <p>The data statement is available among the downloadable files.</p> <h2>How-to</h2> <p>This section contains the tutorials that allow to use this data with the intended pipelines.</p> <h3>Corpus-based distance measurement package</h3> <p>The source code for package is available <a href="https://doi.org/10.5281/zenodo.13958502" target="_blank" rel="noopener">here</a>, the manual is available in the <a href="https://github.com/The-One-Who-Speaks-and-Depicts/corpus_distance/blob/dev/README.md" target="_blank" rel="noopener">README</a> section of the repository.</p> <p>To use this dataset for the measurement of distance between Slovak, Croatian and Slovenian lects, and their subsequent clusterisation, following steps should be completed:</p> <ol> <li>Download the <a href="https://github.com/The-One-Who-Speaks-and-Depicts/corpus_distance/blob/dev/example/Corpus_distance_tutorial.ipynb" target="_blank" rel="noopener">Jupyter notebook</a> that streamlines the package use.</li> <li>Download the dataset.</li> <li>Put the dataset into a selected folder on your computer (make sure there are no other files within this folder).</li> <li>Insert the path to the directory into <code>CONTENT_DIR</code> variable in the Jupyter notebook.</li> <li>Run the notebook, adjusting the parameters, if necessary.</li> </ol> <h2> </h2>
Dataset of the publication: Atomic Force Microscopy beyond Topography: Chemical Sensing of 2D Material Surfaces through Adhesion Measurements
<p>Dataset of the publication: Atomic Force Microscopy beyond Topography: Chemical Sensing of 2D Material Surfaces through Adhesion Measurements</p> <p>DOI: 10.1021/acsami.3c19254</p> <p><span><span>I. Brotons-Alcázar, Jason. S. Terreblanche, S. Giménez-Santamarina, G. M. Gutiérrez-Finol, K. S. Ryder, A. Forment-Aliaga, E. Coronado, <em>ACS Appl. Mater. Interfaces</em> <strong>2024</strong>, <em>16</em>, 19711.</span> </span></p>
Supplementary material for "In-flight reactions of nocturnally migrating birds to winds"
<p><strong>Abstract</strong></p> <p>Available knowledge on in-flight reactions of nocturnal bird migrants to winds is reviewed, with emphasis on the challenging topographical and meteorological conditions in Western Europe, and differences from the situation in North America discussed. Conclusions drawn are used for a new approach: using individual radar tracks of nocturnal migrants (mainly passerines) as well as winds measured at their flight altitudes, we defined the basic direction (BD=average flight direction of all migrants tracked under negligible wind influence) as a reference. For two altitudinal zones above a radar site near Nuremberg, we modelled the deviations of tracks and headings from BD for increasing wind from six 60° sectors. A comparison of birds’ air speeds Va with winds from four 90°-sectors confirmed that Va increased with opposing winds from ~11 to 13 (14) m/s; a similar increase occurred with side winds. An expected, slight decrease of Va with increasing following winds was only indicated for high-flying, not for low-flying birds. A predicted increase in average Va due to decreasing air density with increasing height was not observed; possible explanations (birds climbing to high altitudes in following, but not in strong opposing winds) are discussed. Over the whole autumn migration season, headings were concentrated in a sector of ±30° around 230° in both altitudinal zones. Prevailing winds from 230 to 320° (SW–NW, i.e. opposing from right) led to widely scattered tracks primarily between 190° and 270°, but additional ones in the SE sector (mainly 100°–170°). The analysis of tracks and headings relative to BD revealed the following features. (1) Overcompensation was frequently observed at low wind speeds (<3 m/s); (2) under all wind conditions, but particularly with opposing winds and at low flight levels, tracks were widely scattered, including birds deviating more than 90° from BD. (3) Under opposing and side winds from the right compensatory efforts led to partial drift compensation up to wind speeds of ~8–10 m/s. Because efforts to compensate drift dwindled with increasing wind speeds, birds were fully drifted. Many even shifted their heading to due south and, hence, overdrifted. (4) Opposing and side winds from the left induced partial compensation at low flight levels and full drift above 1500 m asl. (5) The lateral components of the rare and weak following winds led to tracks close to expected minimal drift (without important compensation needed). In general, migrants compensated less for deviations by wind force than expected. The tendency of birds to maintain headings close to BD under opposing winds was so strong that many individuals continued migration with minimal progress over ground or even with retrograde migration as an extreme. On the other hand, there was an omnipresent fraction of birds with tracks far from seasonally favourable directions, including reverse migration.</p>
Apathy, motivation, and physical activity behavior: Material, data and R code
<p>This new release includes updates to the code and additional material following the peer review process conducted by Communications in Kinesiology.</p>
Dataset of the publication: Liquid‐Phase Fabrication of Janus 2D Materials: Defect‐Rich MoS2 Ultrathin Layers Asymmetrically Decorated with Au Nanoparticles. Small 2024, 2406599
<p>Dataset of the publication: Liquid‐Phase Fabrication of Janus 2D Materials: Defect‐Rich MoS2 Ultrathin Layers Asymmetrically Decorated with Au Nanoparticles</p> <p>N. V. Vassilyeva, A. Forment-Aliaga, E. Coronado, <em>Small</em> <strong>2024</strong>, e2406599.</p> <p>doi: 10.1002/smll.202406599</p>
Analysis of policy measures on designing a renewable fuel supply chain in the transport sector- Supplementary materials
<p><strong>This repository contains supporting data for: "Analysis of policy measures on designing a renewable fuel supply chain in the transport sector"</strong></p> <ol> <li> <p><strong>Supplementary Materials</strong>: This collection encompasses the model input data, alongside a detailed formulation of the objective functions.</p> </li> <li> <p><strong>Pareto_Table</strong>: This file contains the Pareto frontier results. </p> </li> <li><strong>DoE_Results_Table</strong>: This file presents the results of various solution scenarios, each characterized by differing levels of policy measures.</li> </ol>
Selected properties and microstructure of concrete with tire rubber granulate as recycled material in construction industry
<p><span>The paper explores the use of recycled materials in the construction industry to promote sustainable development. There is a growing demand for recycling and innovative materials in engineering. The study specifically investigates the potential of tire rubber recyclate as a recycled raw material, comparing two different mixtures in an experimental program. These mixtures highlight the importance of utilizing local resources, aligning with the principles of the circular economy. The experimental program focuses on evaluation of mechanical properties in addition to specialized tests. Findings indicate that higher proportions of rubber granulate not only impact mechanical properties but also significantly affect durability when exposed to environmental factors. </span></p>
Dataset of the publication: Design and processing as ultrathin films of a sublimable Iron(II) spin crossover material exhibiting efficient and fast light-induced spin transition
<p>Dataset of the publication: Design and processing as ultrathin films of a sublimable Iron(II) spin crossover material exhibiting efficient and fast light-induced spin transition</p> <p>DOI: 10.1021/acs.chemmater.3c01704</p> <p>M. Gavara-Edo, F. J. Valverde-Muñoz, M. C. Muñoz, S. Elidrissi, F. Marques-Moros, J. Herrero-Martín, K. Znovjyak, M. Seredyuk, J. A. Real, E. Coronado <br><br>Chem. Mater., 35, 22, 9591-9602 (2023)</p>
Exploring Gaussian processes for short-term forecasting in offshore energy systems: Supplementary material
<p>Two supplementary videos are provided. The first video analyses the performance of wave excitation force forecasting across different horizons in a noise-free case. The second video examines the impact of noise on the forecast. Both videos include results from a Gaussian-based forecaster, an AR forecaster, and show the uncertainty bounds provided by the Gaussian forecaster. The variable analysed and forecasted in these videos is the wave excitation force.</p>
Supplementary material for: "Seeds adapted to mixed cropping increase yield and drought resistance of cereal-legume mixtures"
<p>Supplementary material for the research article: "Seeds adapted to mixed cropping increase yield and drought resistance of cereal-legume mixtures".</p> <ul> <li>Raw data</li> <li>R analysis code</li> <li>Statistical analysis info: ANOVA and Tukey comparisons tables</li> </ul> <p> </p> <p>Abstract:</p> <p>Cropland diversification through mixed cropping has the potential of achieving a more sustainable agriculture while securing food production. This is of special relevance with climate change and the expected drier growing conditions in the future. Seed adaptation to this cropping method is hypothesised to be a fundamental factor to maximise these benefits, as well as the particular species combined. In this study we compared the performance of four cereal-legume mixed crops (wheat and oat mixed with lupin and lentil in pairs) with their respective monocrops. Each crop was sown using seeds adapted to monoculture and mixed cropping, respectively. Moreover, they were grown under early-season and late-season drought treatments and under control conditions. We measured above-ground vegetative biomass, seed yield and harvest index to evaluate crop production, drought resistance and the effect of seed adaptation on each mixed and monocrop. Our results show that mixed cropping either had a beneficial or neutral effect on crop yield, depending on the species combination and drought conditions, but harvest index was generally higher in monocrops. We also confirmed that seed adaptation to a particular type of cropping is clearly a determining factor in its performance. In accordance with the insurance hypothesis, mixed cropping has the effect of protecting crop yields in the case of a sudden bad performance of one of the species, for example, caused by adverse environmental conditions. It is necessary to focus on effective species combinations which have the best responses to mixed cropping. We show for the first time that wheat-lentil mixtures performed poorly, while wheat-lupin showed the most promising results improving yield and drought resistance. Oat mixed crops did not show differences with the respective monocrops, so they can be a viable cropping option as well and benefit from advantages of crop diversity not measured in this study.</p>
Dataset and software for processing of hyperspectral images of different CDW materials
<h2>Overview</h2> <p>The provided scripts are designed to process hyperspectral images of construction and demolition waste (CDW) materials, extract relevant features, and train a machine-learning model for material classification. The scripts perform the following tasks:</p> <ol> <li><strong>Feature Extraction</strong>: Extract spectral features from hyperspectral data.</li> <li><strong>Background Removal and Subset Extraction</strong>: Remove backgrounds from images and extract subsets for analysis.</li> <li><strong>Data Visualization</strong>: Generate plots to visualize the extracted features and reflectance curves.</li> <li><strong>Machine Learning Model Training</strong>: Using the extracted features, train and evaluate a multilayer perceptron (MLP) classifier.</li> </ol> <h2>Prerequisites</h2> <p>Before running the scripts, ensure that you have the following:</p> <ul> <li><strong>Python 3.x</strong> installed on your system.</li> <li>Required Python packages: <ul> <li><code>numpy</code></li> <li><code>matplotlib</code></li> <li><code>scipy</code></li> <li><code>pandas</code></li> <li><code>scikit-learn</code></li> <li><code>seaborn</code></li> <li><code>rembg</code> (for background removal)</li> <li><code>Pillow</code> (PIL)</li> </ul> </li> <li><strong>Hyperspectral data files</strong> in <code>.mat</code> format containing calibrated hyperspectral cubes and wavelength information.</li> <li>A directory structure to organize input and output files as described in each script.</li> </ul> <h2>Scripts Description</h2> <h3>1. <code>hyperspectral_features_v2.py</code></h3> <h4><strong>Purpose</strong></h4> <p>This script processes individual hyperspectral image files to extract spectral features from a central subset of the image. It generates RGB images from the hyperspectral data, plots the mean reflectance spectra, and outputs a LaTeX-formatted table containing the extracted features.</p> <h4><strong>Functionality</strong></h4> <ul> <li><strong>Loading Data</strong>: Reads <code>.mat</code> files containing hyperspectral data from a specified input directory.</li> <li><strong>Feature Calculation</strong>: <ul> <li>Calculates mean reflectance within a central window of the image.</li> <li>Extracts spectral features such as peak wavelength and area under the reflectance curve.</li> <li>Records reflectance values at selected wavelengths, including standard RGB channels and additional wavelengths.</li> </ul> </li> <li><strong>RGB Image Generation</strong>: Creates RGB images using specific wavelengths corresponding to the red, green, and blue channels.</li> <li><strong>Spectra Plotting</strong>: Plots the mean reflectance spectra for each sample.</li> <li><strong>LaTeX Table Generation</strong>: Produces a LaTeX-formatted table of the extracted features for inclusion in a report or paper.</li> </ul> <h4><strong>Usage Instructions</strong></h4> <ol> <li> <p><strong>Prepare Input Data</strong>:</p> <ul> <li>Place your <code>.mat</code> files containing the hyperspectral data in the appropriate input directory (e.g., <code>input/mortar</code>).</li> </ul> </li> <li> <p><strong>Run the Script</strong>:</p> <ul> <li>Modify the <code>materials</code> list at the end of the script to include the materials you want to process (e.g., <code>materials = ['mortar']</code>).</li> <li>Execute the script: <div> <div>bash</div> <div> <div> <div> </div> </div> </div> </div> </li> </ul> </li> </ol>
I-Seed_DS1 – CHARACTERIZATION OF BIOMECHANICS AND MATERIALS OF NATURAL SEEDS MODEL
<p>Dataset I-Seed_DS1 focus on bioengineering investigations of plant seed models, to define useful specifications for the design of the artificial systems in terms of multi-functional materials and morphological computation.</p> <p>Task 3.1. Erodium cicutarium seeds: from natural features to robotic specifics.</p> <p>Task 3.2. Samara seeds: from natural features to robotic specifics</p>
Electronic Supplementary Material
<p>This electric supplementary material provides the files which were used for the virtual hydraulic tests with FLAC3D software (see the text file "readme").</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.