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12,393 results for “materiality”
Training material for de novo transcriptome reconstruction from RNA-seq data
<p>The data provided here are part of a Galaxy tutorial that analyzes RNA-seq data from a study published by Wu et al., 2014 (DOI:10.1101/gr.164830.113). The goal of this study was to investigate "the dynamics of occupancy and the role in gene regulation of the transcription factor Tal1, a critical regulator of hematopoiesis, at multiple stages of hematopoietic differentiation." To this end, RNA-seq libraries were constructed from multiple mouse cell types including G1E - a GATA-null immortalized cell line derived from targeted disruption of GATA-1 in mouse embryonic stem cells - and megakaryocytes. This RNA-seq data was used to determine differential gene expression between G1E and megakaryocytes and later correlated with Tal1 occupancy. This dataset (GEO Accession: GSE51338) consists of biological replicate, paired-end, polyA selected RNA-seq libraries. Because of the long processing time for the large original files, we have downsampled the original raw data files to include only reads that align to chromosome 19 and a subset of interesting genomic loci identified by Wu et al.</p>
Supplementary material 3: World Spider Catalog Bibliographic Data: Treatments from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
List of journal/publisher by ranked by treatment count exported from the World Spider Catalog 14 October 2014 with total treatments by source, cumulative treatments, and cumulative proportion of treatments.
Supplementary material 2: World Spider Catalog Bibliographic Data: Publications from: Integrating and visualizing primary data from prospective and legacy taxonomic literature - Biodiversity Data Journal 3: e5063 (12 May 2015) https://doi.org/10.3897/BDJ.3.e5063
Ranked list of journal/publisher exported from the World Spider Catalog 14 October 2014 with total articles by source, cumulative articles, and cucmulative proportion of articles.
Sketches and Diagrams in Practice — Supplementary Material
<p>Sketches and diagrams play an important role in the daily work of software developers. In our paper "Sketches and Diagrams in Practice" we present the results of our <strong>research on the usage of sketches and diagrams in software engineering practice</strong>. We focused especially on their relation to the core elements of a software project, the source code artifacts. Furthermore, we wanted to assess how helpful sketches are for understanding the related source code. We intended to find out if, how, and why sketches and diagrams are archived and are thereby available for future use. Software is created with and for a wide range of stakeholders. Since sketches are often a means for communicating between these stakeholders, we were not only interested in sketches and diagrams created by software developers, but by all software practitioners, including testers, architects, project managers, as well as researchers and consultants. In a <strong>survey with 394 software ‘practitioners’</strong>, we mainly asked questions about the the last sketch or diagram that they had created. Contrary to our expectations and previous work, the majority of sketches and diagrams contained at least some UML elements. However, most of them were informal. The most common purposes for creating sketches and diagrams were designing, explaining, and understanding, but analyzing requirements was also named often. More than half of the sketches and diagrams were created on analog media like paper or whiteboards and have been revised after creation. Most of them were used for more than a week and were archived. About half of the sketches were rated as helpful to understand the related source code artifact(s) in the future. Our study complements a number of existing studies on the use of sketches and diagrams in software development, which analyzed the above aspects only in parts and often focused on an academic environment, a single company, open source projects, or were limited to a small group of participants.</p> <p>The questionnaire for the online survey was online from August 28, 2013 until December 31, 2013. Further information on our research design and research questions can be found in the referenced paper. This dataset contains the questionnaire, the data we collected during this survey, and a basic R script that can be used as a starting point for validating our results and further exploring the data. This data set has been reviewed and accepted by the Artifact Evaluation Committee of FSE 2014. Since we assured our participants that their data is handled confidentially, only the quantitative data is directly available here. If you are also interested in the qualitative data from our survey, don’t hesitate to contact the authors.</p>
Supplementary materials for: How effective are insect aposematism and Batesian mimicry in deterring a wild avian predator?
<p><strong><a name="_Hlk180513890"></a>Acoustic_parameters_10cm.txt</strong><br>Acoustic parameters of the sounds produced by insects in flight, species recorded at 10 cm from the microphone.</p> <p><strong>Acoustic_parameters_5cm.txt<br></strong>Acoustic parameters of the sounds produced by insects in flight, species recorded at 5 cm from the microphone.</p> <p><strong>Robin_behaviours.txt</strong> <br><em>Erithacus rubecula</em> reactions measured in Boris software from videos of behavioural experiments.</p> <p><strong>Rscript_robin_behaviours.R</strong><br>R script used for the analysis of robins’ behaviours (using Robin_behaviours.txt).</p> <p><strong>Rscript_acoustical_analyses.R</strong><br>R script used for the analysis of acoustical parameters of insect buzzing sounds (using Acoustic_parameters_10cm.txt and Acoustic_parameters_5cm.txt).</p> <p><strong>Robin_experiment_video.mp4<br></strong>Behavioural experiment with a wild European robin (<em>Erithacus rubecula</em>) in its habitat. A freshly defrosted insect specimen and the corresponding buzzing sound of each recorded hymenopteran model and lepidopteran mimic (plus a housefly as a control) were presented in random order to the robin at a feeder with <em>Tenebrio molitor</em> larvae.</p> <p><strong>Robin_experiment_video_Metadata.docx</strong><br><span>Metadata for the supplementary video Robin_experiment_video.mp4.</span></p>
Material Complementario: Medición de la pobreza energética con enfoque multidimensional: revisión sistemática de la literatura
<p><strong>Material Complementario</strong></p><p><i>"Medición de la pobreza energética con enfoque multidimensional: revisión sistemática de la literatura"</i></p><p>---</p><p>En el marco del trabajo de referencia, los autores ponemos a disposición de los lectores los siguientes documentos y materiales complementarios:</p><ol><li>Scopus_Searches.bib</li><li>Lista_de_Documentos_Identificados.xlsx</li><li>Ind_Mult_PE.pdf</li></ol><p>En el primer archivo, podrán encontrar los datos en crudo de la búsqueda realizada en la base de datos Scopus; seguidamente, en la planilla de Lista de Documentos, podrán encontrar de manera detallada la lista de materiales bibliográficos utilizados en el marco del estudio y por último en el documento en PDF "Ind_Mult_PE" podrán encontrar una lista detallada de indicadores y métricas multidimensionales de pobreza energética que fueron identificados en el marco de la revisión de la litera, inclusive algunos que no fueron incluidos en el artículo. </p><p>Estos materiales de apoyo fueron puestos a disposición de todos los interesados para fines académicos y científicos. </p>
Supplementary material - Optical Diffraction Tomography and Raman Confocal Microscopy for the Investigation of Vacuoles Associated with Cancer Senescent Engulfing Cells
<p>Supplementary material containing the data used in the manuscript "Optical Diffraction Tomography and Raman Confocal Microscopy for the Investigation of Vacuoles Associated with Cancer Senescent Engulfing Cells"</p>
pofatu/pofatu-data: Pofatu, a curated and open-access database for geochemical sourcing of archaeological materials
<p>Geochemical fingerprinting of artefacts and sources has proven to be the most effective way to use material evidence in order to reconstruct strategies of raw material procurement, exchange systems, and mobility patterns among past societies. In order to facilitate access to this growing body of data and to promote comparability and reproducibility in provenance studies, we designed Pofatu, the first online and open-access database presenting geochemical compositions and contextual information for archaeological sources and artefacts.</p> <p>The data repository includes a compilation of geochemical data and supporting analytical metadata, as well as the archaeological provenance and context for each sample. All information on Samples related to sources and artefacts can be accessed on this platform or downloaded from Zenodo or GitHub.</p> <p>While most prehistoric quarries and surface procurement sources used in the past have yet to be identified, provenance studies must also integrate wide and reliable geological data. For this reason, we advise Pofatu users to also consult other open-access repositories focusing specifically on geological samples, such as GeoRoc and EarthChem.</p>
The Sensitivity of SSVEPs to Variations in Numerical Material for Automatic Processing of Small Magnitudes
<p>We investigated the human ability to automatically process small magnitude information, using an oddball fast-periodic visual stimulation paradigm featuring a periodic alteration of magnitude (2 vs. 4) at a frequency of 1.25 Hz. Participants were exposed to various types of numerical content, such as biological (fingers), analogical (dots), and symbolic (Arabic digits), presented either in their conventional format (canonical) or in alternative formats (non-canonical), all synchronized at a base rate of 6.25 Hz. Our primary objective was to ascertain the sensitivity of steady-state visual evoked potentials (SSVEPs) to subtle small magnitude variations in relation to the specific type of numerical material.</p><p>SSVEPs were consistently observed at the base rate, corresponding to the presentation of the visual stimuli. Variations across conditions in terms of their location is examined, as well as the amplitude of the SSVEPs which is influenced by the type of material presented. Additionally, oddball SSVEPs emerged at a frequency of 1.25 Hz (and its harmonics) for each numerical content, suggesting the ability to discriminating the change of magnitude in each instance. However, the neural response exhibited distinctive characteristics based on the type of material presented. </p><p>These findings demonstrate that SSVEPs, while maintaining consistency in their presence across conditions, exhibit a sensitivity to variations in the type of numerical material, shedding light on the neural processes involved in the automatic processing of small magnitude information.</p>
CaliParticles: A Benchmark Standard for Experiments in Granular Materials
<p>Granular materials are discrete particulate media that can flow like a liquid but also be rigid like a solid. This complex mechanical behavior originates in part from the particles shape. How particle shape affects mechanical behavior remains poorly understood. Understanding this micro-macro link would enable the rational design of potentially cheap, light weight or robust materials. To aid this development, we have produced a set of standard particle shapes that can be used as benchmarks for granular materials research. Here we describe the collection of benchmark shapes. Some part of the particles are modeled on superquadrics, others are custom designed. The particles used so far were made from polyoxymethylene (POM) and Thermoplastic elastomers (TPE) whose specifications are also listed. The benchmark shapes are available as molds in a plastics manufacturing company, whose contact information is also included. The company is capable of making other molds as well, giving access to more particle shapes. The same particle shapes can thus also be made in different types of (colored) plastic, and in amounts of 50.000 particles or more, larger than conveniently be produced with a 3D printer. We also provide the associated .step and .stl files in the repository in which this document is included. </p>
Supplementary Material - The conservation status of the Cretan Endemic Arthropods under Natura 2000 network
<p>Arthropod decline has been globally and locally documented, yet they are still not sufficiently protected. Crete (Greece), a Mediterranean biodiversity hotspot, is a continental island renowned for its diverse geology, ecosystems and endemicity of flora and fauna, with continuous research on its Arthropod fauna dating back to the 19th century. Here we investigate the conservation status of the Cretan Arthropods using Preliminary Automated Conservation Assessments (PACA) and the overlap of Cretan Arthropod distributions with the Natura 2000 protected areas. Moreover we investigate their endemicity hotspots and propose candidate Key Biodiversity Areas. In order to perform these analyses, we assembled occurrences of the endemic Arthropods in Crete located in the collections of the Natural History Museum of Crete together with literature data. These assessments resulted in 75% of endemic Arthropods as potentially threatened. The hotspots of endemic taxa and the candidate Key Biodiversity Areas are distributed mostly on the mountainous areas where the Natura 2000 protected areas have great coverage. Yet human activities have significant impact even in those areas, while some taxa are not sufficiently covered by Natura 2000. These findings call for countermeasures and conservation actions.</p> <p><strong></strong><br>The code is available here <a href="https://github.com/savvas-paragkamian/arthropods_assessment_crete">https://github.com/savvas-paragkamian/arthropods_assessment_crete</a> and a zipped version of the repository is included here (arthropods_assessment_crete-1.2.0.tar). </p> <p>Supplementary Material 1 is the Supplementary-material-1.xlsx file which contains the Arthropod occurrences as compiled from the literature and the specimens of the NHMC. In addition all references of the literature are included in a separate sheet.</p> <p>Supplementary Material 2 1 is the Supplementary-material-2.docx which contains two (2) supplementary figures and two (2) supplementary tables.</p> <p> </p>
Database for machine learning of hydrogen storage materials properties
<p><strong>Database for machine learning of hydrogen storage materials properties</strong></p> <p>Matthew Witman<sup>a</sup>, Mark Allendorf<sup>a</sup>, Vitalie Stavila<sup>a</sup></p> <p><sup>a</sup>Sandia National Laboratories, Livermore, CA</p> <p> </p> <p><strong>Description</strong></p> <p>This ML-HydPARK dataset provides a csv file of metal hydride compositions, capacities, and thermodynamic values that can be used as target properties for building, training, and testing machine learning models. It has been parsed and cleaned from the DOE’s original publicly available HydPARK database according to the procedure in [1] to make it more suitable for immediate use with data-driven models. Generally, this removed duplicate entries, removed entries missing critical data, and attempted to fix various entries with obvious errors in the data. It is continuously updated under version control as new metal alloy hydrides are published in the open literature. Most entries contain data on the enthalpy and entropy of the hydriding reaction, as well the maximum hydrogen capacity, for which compositional machine learning models can be trained [1,2].</p> <p> </p> <p><strong>Acknowledgements</strong></p> <p>The authors gratefully acknowledge research support from the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, Fuel Cell Technologies Office through the Hydrogen Storage Materials Advanced Research Consortium (HyMARC). This work was supported by the Laboratory Directed Research and Development (LDRD) program at Sandia National Laboratories. Sandia National Laboratories is a multimission laboratory managed and operated by National Technology & Engineering Solutions of Sandia, LLC, a wholly owned subsidiary of Honeywell International Inc., for the U.S. Department of Energy’s National Nuclear Security Administration under contract DE-NA0003525. This paper describes objective technical results and analysis. Any subjective views or opinions that might be expressed in the paper do not necessarily represent the views of the U.S. Department of Energy<br> or the United States Government.</p> <p> </p> <p><strong>References</strong></p> <ol> <li>Witman, M.; Ling, S.; Grant, D. M.; Walker, G. S.; Agarwal, S.; Stavila, V.; Allendorf, M. D. Extracting an Empirical Intermetallic Hydride Design Principle from Limited Data via Interpretable Machine Learning. <em>J. Phys. Chem. Lett</em>. <strong>2020</strong>, 11, 40–47.</li> <li>Witman, M.; Ek, G.; Ling, S.; Chames, J.; Agarwal, S.; Wong, J.; Allendorf, M. D.; Sahlberg, M.; Stavila, V. Data-Driven Discovery and Synthesis of High Entropy Alloy Hydrides with Targeted Thermodynamic Stability. <em>Chem. Mater</em>. <strong>2021</strong>, 33, 4067–4076.</li> </ol> <p> </p> <p><strong>Contact</strong></p> <p>Please email <a href="mailto:mwitman@sandia.gov">mwitman@sandia.gov</a> , <a href="mailto:mdallen@sandia.gov">mdallen@sandia.gov</a>, or <a href="mailto:vnstavi@sandia.gov">vnstavi@sandia.gov</a> for questions or to request addition of recent data from the literature to this dataset.</p>
Data for "Multi-band Spectropolarimetric Image Data of Lunar Maria, Pyroclastics, Fresh Craters, and Swirl Materials"
<p>This data repository contains the georeferenced spectropolarimetric data analyzed in the following article:</p> <p>Wöhler, C., Arnaut, M., Bhatt, M., 2024. Multi-band Spectropolarimetry of Lunar Maria, Pyroclastics, Fresh Craters, and Swirl Material. Astronomical Journal, accepted for publication.</p> <p>The data products are available in separate .zip archives in GEOTIFF and BSQ format. Each .zip archive contains data from eight different observations:</p> <table> <tbody> <tr> <td>Dataset</td> <td>Date</td> <td>UT time</td> <td>Phase angle</td> </tr> <tr> <td>20221114_WOP</td> <td>Nov 14th, 2022</td> <td>05:20</td> <td>64°</td> </tr> <tr> <td>20221216_WOP</td> <td>Dec 16th, 2022</td> <td>04:10</td> <td>88°</td> </tr> <tr> <td>20230225_AT</td> <td>Feb 25th, 2023</td> <td>19:20</td> <td>108°</td> </tr> <tr> <td>20230227_AT</td> <td>Feb 27th, 2023</td> <td>21:44</td> <td>85°</td> </tr> <tr> <td>20230228_AT</td> <td>Feb 28th, 2023</td> <td>19:33</td> <td>74°</td> </tr> <tr> <td>20230302_MV</td> <td>Mar 2nd, 2023</td> <td>19:03</td> <td>52°</td> </tr> <tr> <td>20230302_AT</td> <td>Mar 2nd, 2023</td> <td>19:10</td> <td>52°</td> </tr> <tr> <td>20230402_AT</td> <td>Apr 2nd, 2023</td> <td>20:03</td> <td>38°</td> </tr> </tbody> </table> <p> </p> <p>Data products of spectropolarimetric image analysis in GEOTIFF and BSQ format<br>=============================================================================</p> <p>Prefix 1: Date of data acquisition (YYYYMMDD)<br>Prefix 2: Area (WOP: Western Oceanus Procellarum; MV: Mare Vaporum; AT: Atlas)</p> <p>F : image intensity (5 bands) [DN]<br>P : degree of linear polarization (DoLP) (5 bands)<br>W : angle of linear polarization (AoLP) (5 bands) [degrees]<br>GS : relative grain size (5 bands)<br>logGS: logarithm of relative grain size (5 bands)<br>UE : across-band Umov exponent (1 band)<br>UEres: residual of across-band Umov exponent (1 band)<br>PCAP : scores on the first three principal components derived from the DoLP (3 bands) <br>PCAW : scores on the first three principal components derived from the AoLP (3 bands)<br>CIM : cluster index map (1 band)</p> <p><br>The longitude ranges of the maps are as follows:</p> <p>WOP: Longitude=[-70 -35], Latitude=[2 33]<br>MV : Longitude=[-13 12], Latitude=[-2 17]<br>AT : Longitude=[35 60], Latitude=[40 55]</p> <p>All maps are in simple cylindrical projection with a resolution of 30 pixels per degree.</p> <p>The CIM maps are provided in uint8 numerical format.<br>All other maps are provided in single-precision (32-bit) floating point numerical format.<br>The BSQ files are in binary format without header. Matlab example:<br>BSQ=multibandread('20230302_AT_P__Latitude_35_60__Latitude_35_60.bsq',[750 750 5],'single',0,'bsq','ieee-le');</p> <p> </p>
Using thin films of phase-change material for active tuning of terahertz waves scattering on dielectric cylinders
<p>The uploaded files contain the data generated by MATLAB and used to plot a part of the figures, and a sample code.</p> <p>Research supported by Narodowe Centrum Nauki, project no UMO-2020/39/I/ST3/02413.</p>
Wide-angle and simultaneously wideband blazing (deflection) enabling multifunctionality in metagratings comprising epsilon-near-zero materials
<p>Dataset for the selected figures from the publication.</p> <p>The research supported by Narodowe Centrum Nauki, project no UMO-2020/39/I/ST3/02413.</p>
Thermally mediated transmission-mode deflection of terahertz waves by lamellar metagratings containing a phase-change material
<p>The data generated by MATLAB, whcih were used to plot a part of the figures. </p> <p>Research supported by Narodowe Centrum Nauki, project no UMO-2020/39/I/ST3/02413.</p>
Supplementary Material 4 (Spatio-temporal metabolic rifts in urban construction material circularity)
<p>This video map shows the relative changes in environmental impacts at different locations per year for 2017-2050.</p>
Supplementary Material 1-3 (Spatio-temporal metabolic rifts in urban construction material circularity)
<p>Dataset 1 contains life cycle impact factors used for each stage of the urban metabolism for all spatial levels.</p> <p>Dataset 2 contains the transport distances and modes from supplier locations for all spatial levels.</p> <p>Dataset 3 contains material flow and life cycle impact assessment results for each year (2017-2050) and all spatial levels.</p>
Data and supplementary material used for Soundscapes to Landscapes soundscape mapping
<p>This repository contains supporting data products to enable the soundscape mapping outlined in the associated publication (DOI forthcoming). Data were used to extract acoustic recording location environmental data for training random forest models to spatially predict 2021 ecoacoustic metrics. The accompanying code will be linked to the GitHub repository. Files include:</p> <p>Data:</p> <ul> <li>clustered_fold_k10.rsd: indices of the model data used if geoCV approach</li> <li>extracted_predictors_vif3.csv: site-specific predictor values extracted from predictors_annual_20230223.tif</li> <li>final_predictors_vif3.csv: a two column table summarizing the VIF selected predictors</li> <li>final_sites_2017-2021.csv: the list of 1,195 potential sites</li> <li>predictor_sprmn_corr.csv: correlation matrix for predictors in model data</li> <li>predictors_annual_20230223.tif: all predictors </li> <li>response_df_200623.csv: site level ecoacoustic metrics</li> </ul> <p>Results:</p> <ul> <li>map_correlations.tar: pairwise response map correlations</li> <li>pdps.tar: partial dependence plot data</li> <li>performance.tar: model performance summaries</li> <li>predictions_maps.tar: final median and IQR model prediction surfaces</li> <li>variable_importance.tar: summaries for variable importance analyses</li> </ul> <p>Contact Colin Quinn at cq73@nau.edu for questions related to this repository or the underlying work. Original wav recordings are expected to be made publicly available on the NASA DAACs in the near future. </p>
National price indices of materials and labor in Spain
<p>The national materials and labor price index in Spain provides a comprehensive measure of the costs associated with construction and industry in the country. This unique index reflects fluctuations in the prices of a wide range of materials, such as glass, chemicals, wood, aluminum, copper, steel materials, plastic products, spotlights and luminaires, ceramics and others, as well as the labor costs associated with the workforce in these sectors. For each material we have a month-by-month index starting from 2012 until a couple of months in 2023, the data until 2021 were validated by the INE<a href="https://www.ine.es/index.htm">(Instituto Nacional de Estadística)</a></p>
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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.