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1,773 results for “Supplementary data,”
Fig. 1 in Remarks on Eimeria spp. (Apicomplexa: Eimeriidae) from Kobus spp. (Bovidae: Reduncini), with supplementary morphological data of Eimeria congolensis Ricci-Bitti et al., 1973 from a new host subspecies, the common waterbuck Kobus ellipsiprymnus ellipsiprymnus (Ogilbyi, 1833)
Fig. 1. Composite line drawing of the sporulated oocyst of Eimeria congolensis from common waterbucks Kobus ellipsiprymnus ellipsiprymnus in a safari park of Portugal. Scale-bar: 10 μm.
Supplementary data for "Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in Icarus. https://doi.org/10.1016/j.icarus.2024.116265
<p>Supplementary data for the paper entitled ""Collision-induced absorptions by pure CO2 in the infrared: New measurements in the 1150–4500 cm−1 spectral range and empirical modeling for applications" published in <em>Icarus</em>. https://doi.org/10.1016/j.icarus.2024.116265</p> <p>These data files contain the coefficients needed to compute the shape of a pure CO2 CIA band at a given temperature (see Eq. (3)) of the paper https://doi.org/10.1016/j.icarus.2024.116265</p> <p>"CIA_shape_coeff.dat" involves a CIA band shape without dimer signatures </p> <p>"CIA_dimer_shape_coeff.dat" involves a CIA band shape with dimer signatures </p> <p>"CIA_Fermi_doublet_shape_coeff.dat" involves the Fermi doublet band shape</p> <p>First column is wavenumber in cm-1, the rest of the columns contain the coefficients.</p>
Supplementary data for "Individual quality and environmental factors interact to shape reproduction and survival in a resident bird of prey"
<p><strong>Abstract</strong></p> <p>The archive contains data file and R-Script to reproduce the results presented in the paper “Individual quality and environmental factors interact to shape reproduction and survival in a resident bird of prey” published in Royal Society Open Science.</p> <p><strong><span> </span></strong></p>
Spatiotemporal dysregulation of neuron-glia related genes and pro-/anti-inflammatory miRNAs in the 5xFAD mouse model of Alzheimer's disease - Supplementary data
<p><strong>Supplementary Table 1. </strong> Gene expression profile by RT-qPCR analysis revealed no significant differences when simultaneously considering the genotype (WT/5xFAD), age (6/9 months) and brain region (HPC, hippocampus/PFC, prefrontal cortex). </p> <p><strong>Supplementary Table 2.</strong> miRNA-target table for the Analyzed microRNAs and targets selected for this study. Obtained in the online platform https://www.mirnet.ca/</p> <p><strong>Supplementary Table 3. </strong> Node table for the analyzed microRNAs and targets selected for this study. We only considered miRNAs and/or targets with a node degree of at least 2. Obtained in the online platform https://www.mirnet.ca/</p> <p><strong>Supplementary Table 4.</strong> Bivariate Pearson’s correlation coefficients and respective p-values obtained between all miRNAs and genes.</p> <p><strong>Supplementary Table 5.</strong> List of microRNAs analyzed by RT-qPCR and their primer sequences.</p> <p><strong>Supplementary Table 6.</strong> List of genes and respective primer sequences used for mRNA analysis by RT-qPCR.</p> <p><strong>Supplementary Table 7.</strong> Raw data used for correlational analysis in hippocampus (HPC) and prefrontal cortex (PFC) using the cor function in RStudio software.</p>
Supplementary data for ZeroPM Deliverable 2.1 - List of viable alternatives for uses of PFAS and PM substances with hazard characterization
<p>This dataset contains the data collected for all the studies which are mentioned in the ZeroPM deliverable D2.1 titled "List of viable alternatives for uses of PFAS and PM substances with hazard characterization".</p>
Can green hydrogen drive economic transformation in Saudi Arabia? - An input-output analysis of different Power-to-X configurations. Supplementary Data
<p>Supplementary material for peer review</p> <ul> <li>Modelling Data (input & results)</li> <li>Literature Review</li> </ul>
Data, Code & Supplementary Material for "Notes' order as a mechanism to recognize unknown calls: an experiment with artificial mobbing calls"
<p>Data set and R code used to analyse the output of a field experiment. This experiment tested the response of great tits and blue tits to either conspecific mobbing calls, artificial calls with their own call order, or artificial calls with a different call order. </p>
Supplementary Data: Data Imbalance in Drug Response Prediction: Multi-Objective Optimization Approach in Deep Learning Setting
Open the record for dataset details and reuse information.
Early pyroxene crystallisation deep below mid-ocean ridges: Supplementary data of gabbro phase mapping
<p>The data repository contains part of the original microscopy imagery datasets from optical microscopy, electron microscopy backscattered electron (SEM-BSE), and Synchrotron X-ray fluorescence microscopy (XFM) experiments presented in <a href="https://doi.org/10.1016/j.epsl.2025.119423">Ubide et al. (2025)</a> <strong>'Early pyroxene crystallisation deep below mid-ocean ridges' by Teresa Ubide<sup>*</sup>, David T Murphy, Robert B Emo, Michael Jones, Marco Acevedo Zamora, and Balz S Kamber</strong></p> <p>Specifically, it includes the QuPath software (<a href="https://www.nature.com/articles/s41598-017-17204-5">Bankhead et al., 2017</a>) project including rock (mid-ocean ridge olivine gabbro) thin sections 81-R5w and 80-R6w. The project contains the semantic image segmentation outputs generated with the <a href="https://qupath.readthedocs.io/en/stable/docs/tutorials/pixel_classification.html">Pixel Classifier</a> and MatLab script described in <a href="https://www.mdpi.com/2075-163X/13/2/156">Acevedo Zamora et al. 2023</a> (see <a href="https://github.com/marcoaaz/Acevedo-Kamber/tree/main/QuPath_generatingMaps">code repository</a>).</p> <p>Sample 80-R6w was segmented using image annotations in QuPath and an input comprising a false-colour Cr-Ti-Ca XFM image, cross-polarised light maximum intensity (XPL-max), and plane-polarised light (PPL-0 degrees) photomicrographs.</p> <p>Similarly, Sample 81-R5w used a false-colour Cr-Ti-Ca XFM image, <a href="https://github.com/marcoaaz/AcevedoEtAl._2024b_autoencoder">deep sparse autoencoder</a> image representation of XFM (after <a href="https://www.sciencedirect.com/science/article/pii/S0009254124000779?dgcid=rss_sd_all">Acevedo Zamora et al., 2024</a>), cross-polarised light (XPL-0 degrees), plane-polarised light (PPL-0 degrees) photomicrographs, and recoloured SEM-BSE (after <a href="https://www.mdpi.com/2075-163X/13/2/156">Acevedo Zamora et al. 2023</a>). </p> <p>The segmentation of both samples provided a conservative estimate of the locations of relict clinopyroxene cores (~4% volume of cpx mask), mantles, and rims in a similar phase map colour scheme for better comparison.</p> <p>If there are questions regarding the utilisation of the data, contact Marco Acevedo (marco.acevedozamora@qut.edu.au ; maaz.geologia@gmail.com).</p>
Supplementary data and code for "Predicting anthropogenic food supplementation from individual tracking data"
<p><span>This repository contains data and R-Scripts to reproduce the results presented in the paper “</span><span>Predicting anthropogenic food supplementation from individual tracking data</span><span>” published in Ibis. Please note that some data (basemap of Switzerland, forests, buildings) are publicly available from </span><span><a href="https://map.geo.admin.ch/"><span>https://map.geo.admin.ch/</span></a></span><span> and are therefore not provided here. The abstract of the article is as follows: </span><span>Many wildlife species consume food or refuse provided by humans. To understand the effect of anthropogenic food subsidies on wildlife populations, we first need to quantify where and when individuals can access such food sources. The red kite <em>Milvus milvus</em> is an opportunistic raptor species and uses both inadvertent and deliberate food subsidies provided by citizens. Here we present a new approach using GPS-tracking data to predict where anthropogenic food subsidies likely occur. We tracked 497 individuals with solar-powered GPS transmitters over an average of 3.2 (range 1 – 9) breeding seasons in Switzerland, and combined these data with locations of 125 known feeding sites obtained through interviews. We used two sequential random forest models, at both individual movement and population levels, to predict where anthropogenic food subsidies were attended by red kites. The first model classified locations that were frequently and regularly revisited, and successfully predicted 85% of locations that were within 50 m of an externally validated feeding site. These predicted locations were aggregated in 500 m grid cells to calculate the proportion of individuals and locations associated with predicted food subsidy. A second model related the presence of known food subsidies to the aggregated predictions. In our study area, 80% of known anthropogenic food provision locations could be correctly identified using red kite tracking data, but data sparsity beyond the core range of tracked individuals limits predictions of anthropogenic food subsidies at larger geographic scales. Nonetheless, biologging data can identify ephemeral food sources, and facilitate an assessment of the importance of anthropogenic food subsidies on the fitness of individuals in tracked populations.</span></p>
Fluid-rock interaction of metamorphic fluids caused base metal mineralization in the Moldanubian domain, Bohemian Massif, Czech Republic – a fluid inclusion study - Supplementary data + measuring conditions
Open the record for dataset details and reuse information.
SLC35A2 deficiency reduces protein levels of core 1 β-1,3-galactosyltransferase 1 (C1GalT1) and its chaperone Cosmc and affects their subcellular localization - yet unpublished supplementary data
<p>The upload contains raw data files used for the article "SLC35A2 deficiency reduces protein levels of core 1 β-1,3-galactosyltransferase 1 (C1GalT1) and its chaperone Cosmc and affects their subcellular localization".</p> <p><strong>Article abstract</strong></p> <p>Nucleotide sugar transporters (NSTs) are multitransmembrane proteins, localized in the Golgi apparatus and/or endoplasmic reticulum, which provide glycosylation enzymes with their substrates. It has been demonstrated that NSTs may form complexes with functionally related glycosyltransferases, especially in the N-glycosylation pathway. However, potential interactions of NSTs with enzymes mediating the biosynthesis of mucin-type O-glycans have not been addressed to date. Here we report that UDP-galactose transporter (UGT; SLC35A2) associates with core 1 β-1,3-galactosyltransferase 1 (C1GalT1; T-synthase). This provides the first example of an interaction between an enzyme that acts exclusively in the O-glycosylation pathway and an NST. We also found that SLC35A2 associated with the C1GalT1-specific chaperone Cosmc, and that the endogenous Cosmc was localized in both the endoplasmic reticulum and Golgi apparatus of wild-type HEK293T cells. Furthermore, in SLC35A2-deficient cells protein levels of C1GalT1 and Cosmc were decreased and their Golgi localization was less pronounced. Finally, we identified SLC35A2 as a novel molecular target for the antifungal agent itraconazole. Based on our findings we propose that NSTs may contribute to the stabilization of their interaction partners and help them to achieve target localization in the cell, most likely by facilitating their assembly into larger functional units. </p> <p>The Word document (Data description.docx) contains a description of each file.</p>
Supplementary data to the African Yam Bean Whole Genome Sequencing Project ENA Project_ID:PRJEB57813
<p>The first chromosome-scale assembly of the African yam bean, Sphenostylis stenocarpa (Hochst. ex. A. Rich.) Harms, an original African tuberous legume producing both pods and protein-rich tubers.</p> <p>ENA Project_ID: <strong>PRJEB57813</strong></p> <p>Genome Assembly Accession: <strong>GCA_963425845</strong></p>
Supplementary data for ''Observations of the Clear-Sky Spectral Longwave Feedback at Surface Temperatures Between 210K and 310K"
<h3>This is supplementary data for the manuscript ''Observations of the Clear-Sky Spectral Longwave Feedback at Surface Temperatures Between 210K and 310K".</h3> <h3>satellite_data.nc</h3> <p>This file contains the spectral feedback derived from satellite observations by the AIRS instrument (Huang et al., 2020, DOI: 10.5067/5P7KQ31XI7XJ) as a function of wavenumber and surface temperature regime.</p> <h3>model_data_Ts.nc</h3> <p>This file contains the atmospheric profiles from our single-column model that were used for the radiative transfer calculations as well as the spectrally resolved outgoing longwave radiation from those calculations.</p> <h3>model_data_regimes.nc</h3> <p>This file contains derived atmospheric variables used for our analysis as well as the spectral longwave feedback for different surface temperature regimes.</p> <h3>brightness_temperatures.nc</h3> <p>This file contains the simulated and observed brightness temperatures averaged over the atmospheric window for different skin temperatures.</p> <h3>surface_skin_temperatures.nc</h3> <p>This file contains bin-averaged near-surface air temperatures and skin temperatures from ERA5 reanalysis and AIRS retrieval.</p>
Supplementary data for "a systematic literature review on design for testability approaches in software systems" paper
<p>The Microsoft Excel files containing the supplementary data and diagrams for the paper:</p> <p><strong>A systematic literature review on design for testability approaches in software systems</strong></p> <p>The article is under review in the ACM Computing Surveys.</p> <p> </p>
Supplementary data for manuscript: "Characterizing dynamic heterogeneities during nanogel degradation"
<p>Contains data files and code (python Jupyter notebook) to reconstruct plots for manuscript: "Characterizing dynamic heterogeneities during nanogel degradation"<br><br>Contact: zmira@g.clemson.edu<br><br><br>This work is supported by the National Science Foundation under NSF Award No. 2110309.</p>
Interplay between Porphyromonas gingivalis hemophore-like protein HmuY and Kgp/RgpA gingipains plays a superior role in heme supply - yet unpublished supplementary data regarding Fig. 4C and Fig. 6D.
<p>The upload contains raw data files for the article "Interplay between <em>Porphyromonas gingivalis</em> hemophore-like protein HmuY and Kgp/RgpA gingipains plays a superior role in heme supply" which shows the production of the HmuY protein in various <em>P. gingivalis</em> mutant strains. These data are not present in the supplementary data of publication.</p> <p><strong>Article abstract</strong></p> <p>To acquire heme as a source of iron and protoporphyrin IX, <em>Porphyromonas gingivalis</em> uses gingipains, Hmu, and Hus systems. The aim of this study was to assess the correlation between the production and function of the most important virulence factors of <em>P. gingivalis</em> involved in heme supply, namely, hemophore-like proteins (HmuY and HusA) and gingipains. Respective mutant strains were used, and the expression of genes at the transcript and protein levels, as well as the importance of these genes’ products for virulence potential, was examined. We found that HmuY and Kgp/RgpA gingipains are among the main <em>P. gingivalis</em> virulence factors synergistically engaged in heme supply. Their expression is related mainly when <em>P. gingivalis</em> grows in conditions rich in iron and heme sources, resembling those found in severe periodontitis. We confirmed that HmuY production is strictly dependent on the availability of heme and iron in the external environment, whereas we did not observe such dependence in the production of HusA. Moreover, we found that the HmuY protein can easily sequester heme from the HusA protein. The only correlation in the production of HmuY and HusA hemophore-like proteins could occur in <em>P. gingivalis</em> grown in conditions rich in iron and heme sources, mimicking an environment typical for severe periodontitis. Based on our observations, we suggest that HmuY is the major heme-binding protein produced by <em>P. gingivalis</em>, especially in iron- and heme-depleted conditions, typical for healthy periodontium and the initial stages of infection. The HusA protein could play a supporting role in <em>P. gingivalis</em> heme uptake. </p> <p>The Word document (Data description.docx) contains a description of files.</p>
Supplementary data and metadata 2023/07/X/ST4/00728
<p>This dataset contains acquired and processed data and metadata related to the work carried out under the project entitled “Is the combination of proteinogenic amino acids with quaternary quinine derivatives with multifunctional biological activity a strategy leading to new active ingredients with reduced environmental impact?” (MINIATURA 7, 2023/07/X/ST4/00728, funded by National Science Cetnre, Poland).</p>
Supplementary data for study on "Superplastic 3D printed nitinol woven metamaterials lead to dramatic variations of mechanical properties by design"
<p>Raw and processed data from experimental compression testing of 3D printed nitinol lattices and wovens are provided as supplementary materials for the mentioned study, submitted for evaluation to the journal of Virtual and Physical Prototyping.</p>
Supplementary Table 1 - Raw data
<p>Supplementary Table 1, including raw data of all Dietary supplements analyzed, from the article entitled "Potential health risks surrounding ingredients of pre-workout and post-workout dietary supplements – A thorough label analysis".</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.