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12,393 results for “Materiality”
Supplementary material to: Dengler, J., Jansen., F., … & Gillet, F. (2023) Ecological Indicator Values for Europe (EIVE) 1.0. Vegetation Classification and Survey.
<p>The newly developed Ecological Indicator Values for Europe (EIVE) 1.0, together with all source systems in a flexible, harmonised open access database.</p> <p><br> Supplementary material 2: The analysed 31 EIV systems with original and harmonised plant nomenclature and original and rescaled indicator values for M, N, R, L and T (*.xlsx).</p> <p>Supplementary material 3: Documentation of additions to and modifications of the taxonomic backbone from Euro+Med (2022) in EIVE 1.0 (*.xslx).</p> <p>Supplementary material 8: EIVE 1.0 indicator values for niche position and niche width of M, N, R, L and T (*.xlsx).</p>
Supplementary material for "Exploring Norn: a historical heritage language of the British Isles"
<p>Supplementary material for "Exploring Norn: a historical heritage language of the British Isles", by Kari Kinn and George Walkden, to appear in Sara M. Pons Sanz & Louise Sylvester (eds.), Medieval English in a multilingual context, London: Palgrave.</p>
Supplementary Material for Automated Kinetic Models to Predict the Flame Speeds of Halocarbons
<p>Supplementary material to accompany the paper "Automated Kinetic Models to Predict the Flame Speeds of Halocarbons" by Nora Khalil, Sevy Harris, Richard H. West, submitted to the 13th U. S. National Combustion Meeting, Organized by the Central States Section of the Combustion Institute, March 19–22, 2023, College Station, Texas.</p> <p>RMG input files.</p> <p> </p>
Supplementary materials of the active learning methodology for online engineering education
<p>These are the supplementary materials for the active learning methodology for engineering education integrating online and mobile learning. The methodology is focused on teaching electronics, physical computing, basic robotics, and programming. The purpose of the methodology was to provide active learning, experimentation, and reflection in online classes to the students increasing their motivation and self-efficacy.</p> <p>The file contains the following elements:</p> <ol> <li>Rubric employed to evaluate the student-created videos and blogs.</li> <li>The survey's questions of the different courses that employ online and mobile learning modalities.</li> <li>A set of URLs with examples of the blogs and videos constructed by the students.</li> </ol>
A complete picture of cation dynamics in hybrid perovskite materials from solid-state NMR spectroscopy
<p> Raw, collated NMR and XRD data for the article "A Complete Picture of Cation Dynamics in Hybrid Perovskite Materials from Solid-State NMR Spectroscopy". For further details see the readme.txt file.</p>
Supplementary Information Materials for the G-Cubed submission by Zakharov et al.
<p>This is an upload for the purposes of review at the G-Cubed journal by AGU. The supporting information is provided for the MGL opal-CT, as well as the results of the SIMS and EMPA measurements. The Secondary Ion Probe Mass Spectrometry (SIMS) measurements are included as the .xslx table (Data Set S1) with analytical conditions, raw measurements and VSMOW-calibrated values. The Electron Microprobe (EMPA) analyses are provided in the .xslx file (Data Set S2). The Data Set S2 is separated by tabs for individual sample. Images feature the analyzed areas, including petrographic image, reflected light and the SIMS points.</p>
Supplementary material for "Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle"
<p>Supplementary material for "Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle". </p> <p>Clerc, C., Bopp, L., Benedetti, F., Vogt, M., and Aumont, O.: Including filter-feeding gelatinous macrozooplankton in a global marine biogeochemical model: model-data comparison and impact on the ocean carbon cycle, EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1282, 2022.</p> <p>Three directories can be downloaded:</p> <p><strong>DataOBS</strong> : AtlantECO [WP2] – Traditional microscopy dataset – Thaliacea (Salpida+Doliolida+Pyromosomatida) abundance and biomass concentration data, presented in Clerc et al. (2022). </p> <p><strong>FigPaper </strong>: Source code and .nc files for the figures presented in Clerc et al. (2022) (https://doi.org/10.5194/egusphere-2022-1282). </p> <p><strong>MY_SRC_PISCES_NEMO_3.6 :</strong> Additional fortran routines for the compilation of PISCES-FFGM, the model developed for Clerc et al. (2022), from NEMO-3.6 (https://www.nemo-ocean.eu)</p>
Chemical imaging of organic materials with MeV SIMS using a continuous collimated ion beam
<p>MeV SIMS is a type of secondary ion mass spectrometry technique (SIMS) where molecules are desorbed from the sample surface with ions of MeV energies. In this work, we present a novel system for molecular imaging of organic materials using a continuous analytical beam and a start trigger for timing based on the detection of secondary electrons. The sample is imaged by the collimated primary ion beam and scanning of the target with a lateral resolution of ~ 20 µm. The mass of the analysed molecules is determined with a reflectron type time-of-flight (TOF) analyser, where the START signal for the TOF measurement is generated by the secondary electrons emitted from the thin carbon foil (~ 5 nm) placed over the beam collimator. With this new configuration of the MeV SIMS setup, a primary ion beam with the highest possible electronic stopping can be used (i.e., highest secondary molecular yield), and samples of any thickness can be analysed. Since the electrons are collected from the thin foil rather than from the sample surface, the detection efficiency of secondary electrons is always the same for any type of analysed material. Due to the ability to scan the samples by piezo stage, samples of a few cm in surface size can be imaged. The imaging capabilities of MeV SIMS are demonstrated on crossing ink lines deposited on the paper, a thin section of a mouse brain and on a fingerprint deposited on a thick Si wafer to show the potential application of the presented technique for analytical purposes in biology and forensics science.</p>
Fig. 3 in On the taxonomic identity of five Senecio species (Compositae) described by Candolle on material collected by Haenke during the Malaspina Expedition
Fig. 3. – First page of a letter from Kaspar Maria von Sternberg to Augustin-Pyramus de Candolle, dated 22 June 1831. [Archives, Conservatoire et Jardin botaniques de Genève]
Dataset for publication Sikora P., El-Khayatt A.M., Saudi H.A., Liard M., Lootens D., Chung S.-Y., Woliński P., Abd Elrahman M. Rheological, mechanical, microstructural and radiation shielding properties of cement pastes containing magnetite (Fe3O4) nanoparticles. International Journal of Concrete Structures and Materials (2023), 17, 7
<p>Open dataset for publication Sikora P., El-Khayatt A.M., Saudi H.A., Liard M., Lootens D., Chung S.-Y., Woliński P., Abd Elrahman M. Rheological, mechanical, microstructural and radiation shielding properties of cement pastes containing magnetite (Fe3O4) nanoparticles. International Journal of Concrete Structures and Materials (2023), 17, 7. https://doi.org/10.1186/s40069-022-00568-y</p> <p>File 1 - X-ray diffractogram and particle size distribution (laser granulometry) data - *.opju (Origin)<br> File 2 - Rheological test results - *.opju (Origin)<br> File 5 - Mechanical peformance (early strength - ultrasounds and compressive strength) and density test results - *.opju (Origin)<br> File 4 - Mercury intrusion porosimetry test data - *.opju (Origin)</p>
Supplementary materials: RADseq phylogenetics in two frog clades
<p>Restriction-site associated DNA sequencing (RADseq) has become an accessible way to obtain genome-wide data in the form of single nucleotide polymorphisms (SNPs) for phylogenetic inference. Nonetheless, how differences in RADseq methods influence phylogenetic estimation is poorly understood because most comparisons have largely relied on conceptual predictions rather than empirical tests. We examine how differences in ddRAD and 2bRAD data influence phylogenetic estimation in two non-model frog groups. We compare the impact of method choice on phylogenetic information, missing data, and allelic dropout, considering different sequencing depths. Given that researchers must balance input (funding, time) with output (amount and quality of data), we also provide comparisons of laboratory effort, computational time, monetary costs, and the repeatability of library preparation and sequencing. Both 2bRAD and ddRAD methods estimated well-supported trees, even at low sequencing depths, and had comparable amounts of missing data, patterns of allelic dropout, and phylogenetic signal. Compared to ddRAD, 2bRAD produced more repeatable datasets, had simpler laboratory protocols, and an overall faster bioinformatics assembly. However, many fewer parsimony-informative sites per SNP were obtained from 2bRAD data when using native pipelines, highlighting a need for further investigation into the effects of each pipeline on resulting datasets. Our study underscores the importance of comparing RADseq methods, such as expected results and theoretical performance using empirical datasets, before undertaking costly experiments.</p>
Polymeric and inorganic sorbents as a green option to recover critical raw materials at trace levels from sea saltwork bitterns
<p>Seawater mining is certainly a green alternative source for obtaining minerals as seawater is a natural renewable and unlimited available resource. Based on the lack of ways to obtain certain raw materials, the European Union has created the Critical Raw Materials (CRM) list. Seawater contains almost all elements, including some of those present in the CRM list, but only a few are economically feasible to be extracted as most of them are considered Trace Elements (TEs) (μg L−1). Therefore, an improvement in TEs extraction must be carried out. Saltwork brines can be considered as they are naturally concentrated (20–40 times) compared to seawater, which makes the extraction and recovery of TEs easier. Selective polymeric and inorganic sorbents were evaluated for TEs recovery (Li, B, Co, Ga, Ge, Rb, Sr, and Cs) from synthetic brines mimicking sea saltwork bitterns. Distribution coefficients were determined to characterize selectivity patterns toward TEs. Although amine and sulphonic sorbents showed low sorption of TEs, carboxylic sorbents presented good sorption and recovery for Co and Ga. Among phosphonic/phosphinic sorbents, MTX8010 achieved >98% sorption and desorption of Ga. Aminophosphonic and iminodiacetic are the best sorbents for Sr, but its desorption was incomplete. B was only sorbed by N-Methylglucamine (>98%) and N-Methylpyridine sorbents (75%), and its desorption was 37–64% and 66−>99%, respectively. SbTreat presented good performance targeting Ga and Ge, and CsTreat demonstrated high Cs uptake, but its desorption was unachieved. The most highly selective sorbents could provide the possibility of building a green option to recover critical elements for societal development in the next decade.</p>
Supplementary materials of the manuscript "Establishing a new workflow in the study of core reduction intensity and distribution".
<p>This repository hosts the R code scripts and datasets that allow reproducibility and replicability of the statistical analyses implemented in the paper: Lombao et al. (2022). Establishing a new workflow in the study of core reduction distribution. Journal of Lithic Studies.</p> <p> </p> <p>The analytical and statistical protocols applied for this study were implemented in in R (version 3.6.3) (R Core Team, 2021).</p> <p>Contents:<br> 1. Script.txt: The R- Script with all the packages and functions used and all the steps followed in the statistical analyses.<br> 2. vrm_experiment_database.xlsx: the database with the data used in this manuscript. The data comes from an experiment presented in Lombao et al., 2020. A new approach to measure reduction intensity on cores and tools on cobbles: the Volumetric Reconstruction Method. Archaeological and Anthropological Sciences 12(9)<br> DOI: 10.1007/s12520-020-01154-7<br> 3. Supplementary_table_S1.docx<br> 4. Supplementary_table_S2.docx<br> 5. Supplementary_table_s3.xlsx This database is used in the R-script. </p>
NIR-MFCO dataset: Near-infrared-based false-color images of post-consumer plastics at different material flow compositions and material flow presentations
<p>Determining mass-based material flow compositions (MFCOs) is crucial for assessing and optimizing the recycling of post-consumer plastics. Currently, MFCOs in plastic recycling are mostly determined through manual sorting analysis, but the use of inline near-infrared (NIR) sensors holds potential to automate the characterization process, paving the way for novel sensor-based material flow characterization (SBMC) applications. The NIR-MFCO dataset aims to expedite SBMC research by providing NIR-based false-color images of plastic material flows with their corresponding MFCOs. The false-color images were created through the pixel-based classification of binary material mixtures using a hyperspectral imaging camera (EVK HELIOS NIR G2-320; 990 nm – 1678 nm wavelength range) and the on-chip classification algorithm (CLASS 32). The resulting NIR-MFCO dataset includes <em>n</em> = 880 false-color images from three test series: (T1) high-density polyethylene (HDPE) and polyethylene terephthalate (PET) flakes, (T2a) post-consumer HDPE packaging and PET bottles, and (T2b) post-consumer HDPE packaging and beverage cartons for <em>n</em> = 11 different HDPE shares (0% - 50%) at four different material flow presentations (singled, monolayer, bulk height H1, bulk height H2). The dataset can be used, e.g., to train machine learning algorithms, evaluate the accuracy of inline SBMC applications, and deepen the understanding of segregation effects of anthropogenic material flows, thus further advancing SBMC research and enhancing post-consumer plastic recycling.</p>
Supplementary material for Metabolic constraints on the body size scaling of extreme population densities
<p>Data for the analysis of the paper entitled</p> <p>Metabolic constraints on the body size scaling of extreme population densities. Ecology letters.</p> <p><a href="https://zenodo.org/api/files/a60c335d-e6ca-4bd9-a17f-fc98ca9703e2/air_sea_outputs_L4_nsw.txt?versionId=1416dceb-47d0-45b1-99a8-baa833df8f76">air_sea_outputs_L4_nsw.txt </a></p> <p>This data set contains 8693 rows and 13 variables</p> <p>From colum 1 to 13 the following names apply:</p> <p>Julian- Day of the year (1rst January =1)</p> <p>day- Day number</p> <p>month- Month number</p> <p>year- Year number</p> <p>lat- Latitude</p> <p>lon- Longitude</p> <p>wind_speed_m_s- 1m wind speed in meters per second </p> <p>presure_mB- Air pressure in milibars</p> <p>Temp_°C- Air temperature in degrees Celsius </p> <p>Temp_algo- Other temperature</p> <p>Cloud_cover%- Percentage of cloud cover</p> <p>SST_°C- sea surface temperature in degree Celsius</p> <p>SW_Radiation_W_m2- Short wave radiation in Watts per square meter.</p> <p><a href="https://zenodo.org/api/files/a60c335d-e6ca-4bd9-a17f-fc98ca9703e2/SurfaceTemperature_L4_Merged.csv?versionId=9738e9d6-53ed-49c4-ab0d-136b74ddb16e">SurfaceTemperature_L4_Merged.csv </a></p> <p>This data set has 1064 rows and two columns</p> <p>Fechas_tempAll is the date of measurement formated as (Year-Month-Day Hour)</p> <p>e.g. 2013-05-20 09:00:00</p> <p>TEMP_EC- Surface water Temperature in degree Celsius</p> <p><a href="https://zenodo.org/record/7374166/files/Nutrients.csv?download=1">Nutrients.csv</a></p> <p>The data set sas 445 rows and 8 Variables</p> <p>Sample.Date- Date when surface water sample was taken.</p> <p>NITRITE.µM, - Nitrite (NO2) concentration in micromolar</p> <p>NITRATE.NITRITE.µM"- Nitrate (NO3) concentration in micromolar</p> <p>AMMONIA.µM, - Ammonia (NH4) concentration in micromolar</p> <p>SILICATE.µM, - Silica (Si) concentration in micromolar</p> <p>PHOSPHATE.µM- - Posphate (PO4) concentration in micromolar<br> FLAG- Quality flag (TRUE/FALSE).</p> <p> </p> <p> </p>
Supplemental Material: A Classification Study on Testing and Verification of AI-based Systems
<p>This archive contains the whole set of documents that have been considered in the classification study reported in the manuscript titled: "A Classification Study on Testing and Verification of AI-based Systems".</p>
Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems (Supplementary Material)
<p>This repository provides supplementary material to the ICSE 2023 paper "Analyzing the Impact of Workloads on Modeling the Performance of Configurable Software Systems". We provide the following material:</p> <p>- The experimental setup, including the performance and measurement scripts.</p> <p>- (Aggregated) measurement data and configurations used in our analysis as well as the raw code coverage measurements.</p> <p>- An interactive dashboard to reproduce and reenact our analyses/findings, re-create all visualizations used in the original paper and those omitted due to space limitations.<br> <br> The repository is structured as follows:<br> <br> - accepted_paper.pdf: Camera-ready version of the original paper for reference.</p> <p>- coverages_raw.tar.gz: Raw coverage reports as compressed CSV files (uncrompressed: ~60 GB)</p> <p>- artifacts_excluding_raw_coverage.zip: aggregated measurement data, interactive dashboard, and experimental setup</p> <p>- README.md: A detailed documentation of all the material provided.</p>
Figs 1–7 in Exocytosis of fibrous material from plasmatocytes in Scutigera coleoptrata (Chilopoda, Notostigmophora) in relation to wound healing
Figs 1–7. Plasmatocytes of Scutigera coleoptrata.1. Plasmatocyte (pl) with several grana (g) containing fibrous material. The hemocyte is attached to an axon (a). 2. Numerous grana, containing tubular fibrous substances and electron dense areas (ea). 3. Details of a granulum with an electron dense area. The arrows show a marginal detachment of tubuli from that centre; grana membrane (m). 4. Grana and areas where grana membranes (m) are dissolved; note that the fibrous tubuli remain ordered. 5. Cross sectioned fibrous tubuli (asterisk), (m) membrane. 6. Plasmatocyte, releasing tubuli in clusters (tc) into the hemolymph (h), nucleus (n). 7. Plasmatocyte, releasing tubuli singly into hemolymph. Tubuli in longitudinal section (long arrow), tubuli in cross section (short arrow). Asterisk indicates cross-sectioned tubuli.
Performance analysis & optimization of inverted inorganic CsGeI3 perovskite cells with carbon/copper charge transport materials using SCAPS‑1D
<p>Hybrid perovskite solar cells (PSC) have achieved efficiencies (PCE) of more than 25%. However, the organic compound is causing structural degradation due to heat and moisture. This has led to the exploration of inorganic perovskites. Inorganic-PSC such as cesium has seen a breakthrough by achieving highly stable PSC with PCE exceeding 15%. In this work, the inorganic non-toxic PSC of cesium germanium tri-iodide (CsGeI<sub>3</sub>) is numerically modeled in SCAPS-1D with two carbon-based and two copper-based charge transport layers(CTL). This study introduces in-depth modelling and analysis of CsGeI<sub>3</sub> through continuity and Poisson equations. Cu-CTL are selected to increase the electric conductivity of the cell, while carbon-CTL is used to increase the thermal conductivity. Four structures are designed and presented. A systematic approach is adopted to obtain the optimized design parameters for maximum performance. From the results it is observed that the C<sub>60</sub>/CsGeI<sub>3</sub>/CuSCN structure has the highest performance, with open-circuit voltage of 1.0169V, short-circuit current of 19.653 mA/Cm<sup>2</sup>, fill factor of 88.13% and PCE of 17.61%. Moreover, the effect of quantum efficiency, electric field, interface recombination, interface defects, layer thickness, defect density, doping concentration, working temperature and reflection coating on the cell performance are studied in detail.</p>
Chapter 9. Supplementary Material. The global distribution of Acacia
<p>This repository contains the supplementary material for the Chapter, namely the Box 9.S1, Tables 9.S1/S2, Figure 9.S1 (gathered in the PDF <strong>Botella et al_chap9_SUPPLEMENTARY_MATERIAL.pdf) </strong>and the database S9.S1<strong>.</strong> The latter is composed of the 105 data sources and their trust levels (<strong>Data_sources.xlsx</strong>), the table of <em>Acacia</em> introduction events (<strong>intro_table_revis.csv</strong>), the table of naturalization events (<strong>nat_table_revis.csv</strong>), the table of all occurrences including those in Australia (<strong>occ_table.csv</strong>, indicating geolocation and time of observation when available) and the table of countries with associated sampling effort and country codes (<strong>sampling_eff_country.csv</strong>).</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.