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12,393 results for “materiality”
Supplementary material: 1H NMR of Buddleja officinalis flowers extract (BO-LLE) and microfractions
<p>1H NMR files of Buddleja officinalis flower extract (BO-LLE) and microfractions (MF) used for NMR-based biochemometrics</p>
Supplementary material for "Strong decline in grasshopper abundance over 20 years without major land-use changes: Is soil drying one of the drivers?»
<p><strong>Abstract</strong></p> <p><span>Strong declines in insect numbers have been described for different taxa and regions. These observations are of great concern such that broad scientific and public attention has been raised. Among other urgencies, the need for long-term insect data has been identified. Here, we present data on grasshopper (Caelifera) abundances recorded between 1992 and 2011 at over 600 sites in north-western Switzerland. While vegetation type, often semi-natural grasslands, had remained largely constant, total grasshopper abundance declined by around 50% (while many other taxa showed much less decline). Numbers in July remained relatively stable until about 2003 but then declined similar to the declines seen in August-October already before. Greatest losses were observed for drier habitats and steeper slopes, suggesting that soil drying might be an important factor for the decline. Second, more nutrient-rich habitats suffered greater losses; possible reasons for this include small-scale vegetation changes in these habitats e.g. due to atmospheric nitrogen deposition, or isolation of sites. Other than abundance, species richness decreased much less, illustrating that important ecological changes may be strongly underestimated when only species lists are available. The strong declines at our sites, which often are in an agri-environmental scheme, is alarming. Apart from being yet another call to fight climate change, our results also point to the urgent need to reduce atmospheric nitrogen deposition and to continue extensive farming, but also to adapt it in preparation of expected effects of climate change, with the aim to favour a divers, ecologically robust insect community.</span></p> <p><span> </span></p>
Results and plotting scripts for the manuscript 'SuCCESs – a global IAM for exploring the interactions between energy, materials, land-use and climate systems in long-term scenarios'
<p><br>This archives the results for the manuscript 'SuCCESs – a global IAM for exploring the interactions between energy, materials, land-use and climate systems in long-term scenarios'</p> <p>For the model version used to create these results, please see: https://doi.org/10.5281/zenodo.13981520</p> <p>Files to reproduce the figures, in R language:<br>SuCCESs validation.R - Reads GDX files and produces plots for energy and emissions.<br>SuCCESs validation MC.R - The same, but with the Monte Carlo GDXs.</p> <p>External data sources:</p> <p>***<br>GHG emissions are from IGCC and PRIMAP</p> <p>IGCC: https://climatechangetracker.org/igcc (CC-BY license)</p> <p>PRIMAP:<br>Gütschow, Johannes; Jeffery, M. Louise; Gieseke, Robert; Gebel, Ronja; Stevens, David; Krapp, Mario; Rocha, Marcia (2016): The PRIMAP-hist national historical emissions time series, Earth Syst. Sci. Data, 8, 571-603, https://doi.org/10.5194/essd-8-571-2016<br>Gütschow, Johannes ; Busch, Daniel ; Pflüger, Mika (2024): The PRIMAP-hist national historical emissions time series (1750-2023) v2.6. Zenodo. https://doi.org/10.5281/zenodo.13752654<br>https://primap.org/primap-hist/ (CC-BY-4.0 license)</p> <p>***<br>Historical energy production and use data are from IEA Energy Statistics Data Browser (CC BY 4.0 licence).<br>https://www.iea.org/data-and-statistics/data-tools/energy-statistics-data-browser?country=WORLD&fuel=CO2%20emissions&indicator=CO2BySource</p> <p>***<br>IAM results are from the SSP database: https://tntcat.iiasa.ac.at/SspDb </p> <p>Keywan Riahi, Detlef P. van Vuuren, Elmar Kriegler, Jae Edmonds, Brian C. O’Neill, Shinichiro Fujimori, Nico Bauer, Katherine Calvin, Rob Dellink, Oliver Fricko, Wolfgang Lutz, Alexander Popp, Jesus Crespo Cuaresma, Samir KC, Marian Leimbach, Leiwen Jiang, Tom Kram, Shilpa Rao, Johannes Emmerling, Kristie Ebi, Tomoko Hasegawa, Petr Havlík, Florian Humpenöder, Lara Aleluia Da Silva, Steve Smith, Elke Stehfest, Valentina Bosetti, Jiyong Eom, David Gernaat, Toshihiko Masui, Joeri Rogelj, Jessica Strefler, Laurent Drouet, Volker Krey, Gunnar Luderer, Mathijs Harmsen, Kiyoshi Takahashi, Lavinia Baumstark, Jonathan C. Doelman, Mikiko Kainuma, Zbigniew Klimont, Giacomo Marangoni, Hermann Lotze-Campen, Michael Obersteiner, Andrzej Tabeau, Massimo Tavoni.<br>The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview, Global Environmental Change, Volume 42, Pages 153-168, 2017,<br>DOI:110.1016/j.gloenvcha.2016.05.009</p> <p>Rogelj, J., Popp, A., Calvin, K.V., Luderer, G., Emmerling, J., Gernaat, D., Fujimori, S., Strefler, J., Hasegawa, T., Marangoni, G., Krey, V., Kriegler, E., Riahi, K., van Vuuren, D.P., Doelman, J., Drouet, L., Edmonds, J., Fricko, O., Harmsen, M., Havlik, P., Humpenöder, F., Stehfest, E., Tavoni, M., Scenarios towards limiting global mean temperature increase below 1.5 °C. Nature Climate Change 8, 2018, 325-332.<br>DOI:10.1038/s41558-018-0091-3</p>
Supplementary materials for the paper "Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward"
<p>This is supplementary materials for the paper "Using AI-Based Coding Assistants in Practice: State of Affairs, Perceptions, and Ways Forward". Please refer to README.txt for more information.</p>
Map of possible raw material areas in Emilia-Romagna
<p><span>Preliminary map of areas in the Emilia-Romagna region of Italy with potentially significant concentrations of CRMs.</span></p>
Data and materials for the "Steady-State Mixing State of Black Carbon Aerosols from a Particle-Resolved Model"
<p>Data and sripts for the "Steady-State Mixing State of Black Carbon Aerosols from a Particle-Resolved Model"</p>
Supplementary material
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Supplementary material - Sandy soil spots in northwestern Paraná: approaches for identification and quantification
<p>The file contains the Supplementary Table from Sandy soil spots in northwestern Paraná: approaches for identification and quantification and the Tiff with the sand percentage. </p>
Supplementary material for: Revealing the identity of Josa chazaliae (Simon, 1897) (Araneae: Anyphaenidae): new species and the highest altitude record for a spider in South America
<p>Geographical and elevation records of South American spiders higher than 3000 m above sea level.</p>
Best practices for evaluating IRFL approaches - Supplemental material
<p>Information retrieval fault localization (IRFL) is a popular research field and many IRFL approaches have been proposed recently.<br>Unfortunately, the evaluation of some of these IRFL approaches is often too simplistic, which can cause an overestimation of performance of these approaches.<br>For this reason, we discuss evaluation pitfalls and problems in our paper "<a href="https://doi.org/10.1016/j.jss.2025.112342"><em>Best practices for evaluating IRFL approaches</em></a>".<br>To support our claim of the poor status quo of current evaluation practices in some research papers, we have performed a literature survey on 135 papers.<br>This repository contains the data that we have extracted from these papers and our evaluation script.</p>
Measurement report: Crustal materials play an increasing role in elevating particle pH: Insights from 12-year records in a typical inland city of China-Data
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Material complementario - Una fortificación emiral en la Alpujarra: el caso de Júbar (Granada, España)
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Supplementary material for paper "Experimental evaluation of the CO2-based mixture CO2/C6F6 in a recuperated transcritical cycle"
<p>Please read <em>README </em>to get an overview of the supplied data.</p> <p>The data includes:</p> <p>• P&ID diagram and information about measurement devices</p> <p>• Uncertainty in filling composition</p> <p>• Raw measurement data</p> <p>• Thermodynamic models (Example Aspen Plus files)</p> <p>• Thermodynamic data produced by models via Aspen Plus</p> <p>• Analysis (Software files MATLAB)</p> <p> </p>
Calcium-rich parent materials enhance multiple soil functions and bacterial network complexity
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Supplementary Materials
<p><span>Figure S1</span><span>-S4</span><span>: Regional association plots of colocalization analysis between</span><span> </span><span>drug target genes and CRC</span><span>.</span><span> Table S</span><span>1: </span><span>All druggable genes information</span><span> </span><span>used in this study</span><span>. </span><span>Table S2</span><span>: </span><span>The outcome data used in this study</span><span>. </span><span>Table S3</span><span>: </span><span>The instrumental variables for druggable genes</span><span>. </span><span>Table S4</span><span>: </span><span>The results of MR analysis and sensitivity analyses</span><span>. </span><span>Table S5</span><span>: </span><span>The colocalization analysis results</span><span>. </span><span>Table S6</span><span>: </span><span>Results of differential expression analysis between risk groups</span><span>. </span><span>Table S7</span><span>: </span><span>Immune cell infiltration scores of different groups</span><span>. </span><span>Table S8</span><span>: </span><span>The drug sensitivity analysis results between risk</span><span> </span><span>groups</span><span>.</span></p>
Dataset and results for paper:Data driven Virtual Material Analysis and Synthesis for Solid Electrolyte Interphases
<p>A data-driven strategy for virtual material analysis and synthesis enables the representation, characterization, and generation of solid electrolyte interphase (SEI) configurations based on kinetic Monte Carlo (KMC) simulations. A variational autoencoder (VAE) model, equipped with a property predictor, learns key features of 2D SEI configurations from selected samples. The model analyzes essential features at the bottleneck to assess how properties like thickness, porosity, density, and volume fraction influence learned data-driven characteristics. To improve classification, inputs to the VAE are conditioned with a reaction barrier set linked to specific SEI conditions, allowing for the generation of SEI configurations with customized physical properties.</p>
Dataset for Foundation Model for Composite Materials and Microstructural Analysis
<p>This repository contains datasets generated for the publication <strong>"Foundation Model for Composite Materials and Microstructural Analysis". </strong></p> <p>The datasets are provided to facilitate replication of results, further research, and development in the field of composite materials and machine learning.</p> <h1>Contents:</h1> <ol> <li><strong>downstream_circular_inclusion.zip</strong> <ul> <li> <p>Description: This dataset consists of microstructure images and associated properties for circular inclusion composites used in the downstream tasks of the study.</p> </li> <li> <p>Structure:</p> <ul> <li> <p>train/: Contains training data directories and files.</p> </li> <li>valid/: Contains training data directories and files.</li> <li> <p>descriptors.csv: A CSV file with descriptors and homogenized stiffness components for validation data.</p> </li> </ul> </li> </ul> </li> <li><strong>downstream_short_fiber.zip</strong> <ul> <li> <p>Description: This dataset consists of microstructure images and associated properties for short-fiber composites used in the downstream tasks of the study.</p> </li> <li> <p>Structure:</p> <ul> <li> <p>train/: Contains training data directories and files.</p> </li> <li>valid/: Contains training data directories and files.</li> <li> <p>descriptors.csv: A CSV file with descriptors and homogenized stiffness components for validation data.</p> </li> </ul> </li> </ul> </li> <li><strong>inclusion_train_100k.zip</strong> <ul> <li>Description: This dataset contains 100,000 microstructure images of short-fiber composites used for self-supervised pre-training of the Masked Material Autoencoder (MMAE).</li> <li> <p>Structure:</p> <ul> <li> <p>mesh0dir/, mesh1dir/, ... mesh99999dir/: : Folders containing microstructure images used for pre-training.</p> </li> <li>descriptors.csv: A CSV file with descriptors related to the microstructures.</li> </ul> </li> </ul> </li> </ol>
Data Set: "From structure to electrochemistry: The Influence of Transition Metal Ordering on Na+/vacancy Orderings in P2-type NaxMO2 Cathode Materials for Sodium-Ion Batteries"
<p>This is the data set associated with the following publication: <strong>From structure to electrochemistry: The Influence of Transition Metal Ordering on Na+/vacancy Orderings in P2-type NaxMO2 Cathode Materials for Sodium-Ion Batteries,</strong> Lukas Fridolin Pfeiffer, Manuel Dillenz, Nora Burgard, Premysl Beran, Daniel Roscher, Maider Zarrabeitia, Paul Drews, Charles Hervoches, Daria Mikhailova, Ahmad Omar, Volodymyr Baran, Neelima Paul, Mohsen Sotoudeh, Michael Busch, Margret Wohlfahrt-Mehrens, Axel Groß, Stefano Passerini, Peter Axmann<em>, Journal of Materials Chemistry A, 2024, DOI: 10.1039/d4ta04786a<br></em></p> <p>The data set is organised along the figures of the publication.</p>
Social life cycle sustainability assessment of dried tomato products based on material and process selection through multi-criteria decision making
<h3>BACKGROUND</h3> <p>Tomatoes are a significant product of the Mediterranean region and a crucial component of the Mediterranean diet. The formulation of dried tomato products enriched with proteins and bioactive compounds could be a strategic approach to promote adherence to the Mediterranean diet. Six different novel tomato products were analyzed using different protein enrichment sources (pea proteins and leaf proteins) and drying technologies (hot-air dryer, microwave vacuum dryer, and conventional dryer). The novelty of this approach lies in combining product-specific criteria with global societal factors across their life cycles. Using 21 criteria and an analytic hierarchy process (AHP) survey of experts, the social sustainability score for each product was determined through a multi-criteria assessment.</p> <h3>RESULTS</h3> <p>The tomato product's life cycles have minimal regional impacts on unemployment, access to drinking water, sanitation, or excessive working hours. However, they affect discrimination, migrant labor, children's education, and access to hospital beds significantly. The study identified nutritional quality as the top criterion, with the most sustainable design being a tomato bar enriched with pea protein and processed using microwave vacuum drying.</p> <h3>CONCLUSION</h3> <p>The study revealed that integrating sensory and nutrient compounds into social sustainability assessments improves food sustainability and provides a practical roadmap for social life cycle assessments of food products. It emphasized the importance of considering global social issues when reformulating Mediterranean products to ensure long-term adherence to the Mediterranean diet. Incorporating social factors into sustainability scores can also enhance the effectiveness of product information for conscious customers. © 2024 The Author(s). <em>Journal of the Science of Food and Agriculture</em> published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.</p>
Supplementary material for: Cytotoxic properties of free and nano-encapsulated methanolic extracts of Ganoderma mushrooms
<p>These are data and supplementary materials for the manuscript "<span>Cytotoxic properties of free and nano-encapsulated methanolic extracts of <em>Ganoderma</em> mushrooms"</span></p>
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)
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.