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7,370 results for “supplementation”
Supplemental data for: Classification of the Celastrales based on integration of genomic, morphological, and Sanger-sequence characters
<p>We present the best sampled phylogenetic analysis of Celastrales, with respect to both character and taxon sampling, and use it to present a natural classification of the order. Parnassiaceae are highly supported as sister to Celastraceae; we recognize both families as distinct. <em>Pottingeria</em> is highly supported as a member of an early derived lineage within Celastraceae. We recognize and circumscribe 13 subfamilies in Celastraceae, including the new subfamilies Crossopetaloideae, Maytenoideae, Microtropioideae, Monimopetaloideae, and Salaciopsioideae. We identified five genera that likely require generic recircumscriptions: <em>Cassine</em>, <em>Elachyptera</em>, <em>Gymnosporia</em>, <em>Salacia</em>, and <em>Semialarium</em>. Genera that had not been previously sampled in Sanger-sequence-based studies are resolved as follows: <em>Arnicratea</em> is sister to <em>Reissantia</em>, <em>Bequaertia</em> is in a clade with <em>Campylostemon</em> and <em>Tristemonanthus</em>, <em>Goniodiscus</em> is sister to <em>Wilczekra</em>, <em>Ptelidium</em> is nested within <em>Elaeodendron</em>, and <em>Tetrasiphon</em> is most closely related to <em>Gyminda</em>.</p>
Supplemental materials for: Current pubertal development in Chinese children and the impact of overnutrition, lifestyle and perinatal factors
<p><strong>Context: </strong>Pubertal onset has been decreasing in many countries but there has been no data on pubertal development in Chinese children over the last decade.</p> <p><strong>Objective: </strong>The primary objective of the study was to evaluate the current status of sexual maturation in Chinese children and adolescents. Secondary objectives were to examine socio-economic, lifestyle and auxological associations with pubertal onset.</p> <p><strong>Design: </strong>A national, cross-sectional health survey.</p> <p><strong>Setting: </strong>The community-based setting.</p> <p><strong>Participants: </strong>A multistage, stratified cluster random sampling method was used to select a nationally representative sample, consisting of 231,575 children and adolescents(123,232 boys and 108,343 girls) between 2017 and 2019.</p> <p><strong>Main Outcome Measure: </strong>Growth parameters and pubertal staging were assessed by physical examination.</p> <p><strong>Results: </strong>Compared to 10 years previously the median age of Tanner 2 breast development and menarche were similar at 9.65 years and 12.39 years respectively. However, male puberty occurred earlier with a median age of testicular volume ≥4 ml of 10.65 years. Pubertal onset did occur earlier at the extremes with 3.3% of the girls with breast development between 6.5-6.99 years old increasing to 5.8% by 7.5-7.99 years old. Early pubertal onset was also noted in boys, with a testicular volume ≥ 4 ml noted in 1.5% between 7.5-7.99 years increasing to 3.5% between 8.5-8.99 years old. Obesity and overweight increased the risk of developing earlier puberty compared to the normal weight in both boys and girls.</p> <p><strong>Conclusions: </strong>Over the past decade, pubertal development is occurring earlier in Chinese children. While the cause is multifactorial, overweight and obesity are associated with earlier puberty onset. The currently-used normative pubertal data of precocious puberty may not be applicable to diagnose precocious puberty.</p>
Intermediary and supplemental data for publication "Heterogenous circulating miRNA changes in ME/CFS converge on a unified cluster of target genes and may be a result of modulation by latent herpesviruses: A computational analysis"
<p>Intermediary and supplemental data for publication "Heterogenous circulating miRNA changes in ME/CFS converge on a unified cluster of target genes and may be a result of modulation by latent herpesviruses: A computational analysis"</p>
Global asymmetries in the influence of ENSO on flood risk based on 1600 years of hybrid simulations - Submission - Data Supplement
<p>This contribution contains data and analysis scripts for the manuscript "Global asymmetries in the influence of ENSO on flood risk based on 1600 years of hybrid simulations" by Lenin Del Rio Amador, Mathieu Boudreault and David A. Carozza.</p>
Devos demo paper supplemental material
<p>This includes supplemental material for the user study. </p>
Our simulated cerebral blood flow changed from pretreatment to posttreatment status between rehabilitation (see video 1, supplemental data) and ILIB groups (see video 2, supplemental data).
<p>Our simulated cerebral blood flow changed from pretreatment to posttreatment status between rehabilitation (see video 1, supplemental data) and ILIB groups (see video 2, supplemental data).</p> <p>Video S1 demonstrates that the cerebral blood flow changed from pretreatment to posttreatment status in one participant of rehabilitation.</p> <p>Video S2 demonstrates that the cerebral blood flow changed from pretreatment to posttreatment status in one participant of ILIB.</p>
Supplemental data of the comment on "Sexual selection promotes giraffoid head-neck evolution and ecological adaptation"
<p>This dataset is the supplemental data of the comment paper on "Sexual selection promotes giraffoid head-neck evolution and ecological adaptation" (Hou et al., 2023, Science 379, eadd9559). 333 codings are rescored and the statements of 10 characters are modified, with notes and explanations in the Microsoft Excel file. </p>
Supplemental Figure 2
<p><strong>Figure S2.</strong> <strong>Analysis of SHR-A3-IGHKO genome variation in comparison with SHR-A3. </strong></p> <p>Please refer to legend to Figure 1A in the manuscript for description of bioinformatic methods used to assess divergence between the SHR-A3 genome and that of the SHR-A3-IGHKO genome.</p>
Supplemental Table S1
<p><strong>Table S1.</strong></p> <p>Genome wide SNP markers divergent between SHR-A3 and Sprague-Dawley rats and used for speed congenic creation of SHR-A3-IGHKO.</p>
Supplemental Figure, ICML Submission
<p>Illustration of the conditional distribution from theorem 3.3 of our submission.</p>
Quaternary diversity dynamics of Australian reptiles - Electronic supplement
<p>Supplement paper 2</p> <p><em>Electronic data files</em></p> <p>File ES2.1 - Metadata for the included specimens (.xlsx)</p> <p>File ES2.2 – Folder containing surface models (.ply) of the crania of the included specimens, landmark pairs, and sliding landmark data</p> <p>File ES2.3a – 3D landmark coordinates of maxillae (.tps)</p> <p>File ES2.3b – 3D landmark coordinates of maxillae (missing data estimated, curves equidistant) (.tps)</p> <p>File ES2.4a – 3D landmark coordinates of frontals (.tps)</p> <p>File ES2.4b – 3D landmark coordinates of frontals (missing data estimated, curves equidistant) (.tps)</p> <p>File ES2.5 – R code for evaluating landmark estimation (.R)</p> <p>File ES2.6 – R code for estimating effects of sample size (.R)</p> <p>File ES2.7 – R code for estimating effects of missing landmarks (.R)</p> <p>File ES2.8 – Results of landmark estimation performance analyses (.csv)</p> <p>File ES2.9 – Pairwise Procrustes distances of different groupings and CVA results (maxillae; .xlsx)</p> <p>File ES2.10 - Pairwise Procrustes distances of different groupings and CVA results (frontals; .xlsx)</p> <p>File ES2.11 - Pairwise Procrustes variances of different groupings (maxillae; .xlsx)</p> <p>File ES2.12 - Pairwise Procrustes variances of different groupings (frontals; .xlsx)</p> <p>File ES2.13 – Results of sample size analyses (.csv)</p> <p>File ES2.14 – Results of missing landmarks analyses (.csv)</p> <p>File ES2.15 – Results of estimation vs. deletion analyses (.xlsx)</p> <p> </p> <p>Supplement paper 3</p> <p><em>Electronic data files</em></p> <p>File ES3.1 – Metadata for the included specimens (.csv)</p> <p>File ES3.2 – Folder containing landmark file (.tps) and bilateral landmark pairs (.txt)</p> <p>File ES3.3 – Metadata for the specimens included in compactness analyses and results of the compactness measurements (.csv)</p> <p>File ES3.4 – ImageJ Macro for measuring vertebral compactness (.ijm)</p> <p>File ES3.5 – Accuracy of classifications using CVA (.xlsx)</p> <p>File ES3.6 – Results of Procrustes ANOVAs testing for influences of taxonomic groupings, size, and the interaction of grouping and size on vertebral shape (.txt)</p> <p>File ES3.7– Typicality probabilities of fossils belonging to extant species (.xlsx)</p> <p>File ES3.8 – Procrustes distances between fossils of different sites / groupings and extant species (.xlsx)</p> <p>File ES3.9 – Procrustes variance in juvenile versus adult specimens (.xlsx)</p> <p>File ES3.10 – Phylogenetic signal of shape results (.txt)</p> <p>File ES3.11 – Results of the trajectory analyses (.xlsx)</p> <p> </p> <p>Supplement paper 4</p> <p><em>Electronic data files</em></p> <p>File ES4.1 – Metadata for tissue specimens and data for correlation analyses (.csv)</p> <p>File ES4.2 – Folder containing surface models (.ply) of the included crania</p> <p>File ES4.3 – Metadata for alcohol specimens (maxillae) (.csv)</p> <p>File ES4.4 – Metadata for alcohol specimens (<em>Rankinia</em> maxillae) (.csv)</p> <p>File ES4.5 – Metadata for alcohol specimens (<em>Rankinia</em> crania) (.csv)</p> <p>File ES4.6 – 3D landmark coordinates of maxillae (.tps)</p> <p>File ES4.7 – Folder containing 3D landmark files and landmark pairs of population cluster analyses</p> <p>File ES4.8 – Procrustes distances between genera means, plus statistics (.xlsx)</p> <p>File ES4.9 – R code for evaluating landmark estimation (.R)</p> <p>File ES4.10 – Occurrence points used for creating the niche models (.csv)</p> <p>File ES4.11 – Folder containing SNAPP tree files (.trees) and log files (.log) of the 4 SNAPP runs</p> <p>File ES4.12 – Model outputs of SSDM ensemble models using different GCMs (.xlsx)</p> <p> </p> <p>Supplement paper 5</p> <p><em>Electronic data files</em></p> <p>File ES5.1 – Supplementary references (.docx)</p> <p>File ES5.2 – Body size, microhabitat and spiny tail data of the 2877 squamate species used in the study (.csv)</p> <p>File ES5.3 – Tree file (.tre)</p> <p>File ES5.4 – Results of the D statistic (.csv)</p> <p>File ES5.5 – Results of the fitPagel funtion (.csv)</p> <p>File ES5.6 – Phylogenetic ANOVA results (spiny tails vs microhabitat) (.csv)</p> <p>File ES5.7 – Phylogenetic ANOVA results (spiny tails vs. body size) (.csv)</p> <p>File ES5.8 – Phylogenetic logistic regression results (.csv)</p> <p>File ES5.9 – Phylogenetic ANOVA results (microhabitat vs body size) (.csv)</p> <p>File ES5.10 – Results of the HiSSE models (.csv)</p>
Video supplement - WTD difference in dry and wet years for all parameters
<p>Video supplement to my 2023 paper.</p> <p>Water table depth differences between blocked and non-blocked configurations for all modelled weather types and peat hydraulic properties.</p>
Roy et al. 2023 Supplemental Information for "Sediment-encased pressure–temperature maturation experiments elucidate the impact of diagenesis on melanin-based fossil color and its paleobiological implications."
<p><em>Supplemental Information for</em></p> <p>Sediment-encased pressure–temperature maturation experiments elucidate the impact of diagenesis on melanin-based fossil color and its paleobiological implications.</p> <p>Arindam Roy<em><sup>*</sup></em> (<a href="https://orcid.org/0000-0002-4890-6851">https://orcid.org/0000-0002-4890-6851</a>)</p> <p>Michael Pittman<em><sup>*</sup></em> (<a href="https://orcid.org/0000-0002-6149-3078">https://orcid.org/0000-0002-6149-3078</a>)</p> <p>Thomas G. Kaye (<a href="https://orcid.org/0000-0001-7996-618X">https://orcid.org/0000-0001-7996-618X</a>)</p> <p>Evan T. Saitta (<a href="https://orcid.org/0000-0002-9306-9060">https://orcid.org/0000-0002-9306-9060</a>)</p> <p>*Corresponding author(s)</p> <p><strong>Email: </strong><a href="mailto:ar15313@bristol.ac.uk">ar15313@bristol.ac.uk</a> ; <a href="http://palaeopittman.com/2022/03/27/lab-members/mpittman@cuhk.edu.hk">mpittman@cuhk.edu.hk</a></p> <p>The Dataset contains two files, (1) Supporting Information and (2) Supporting Data PCA worksheet. </p> <p>The first contains Supplementary tables and figures (.docx file) while the structural organisation of the second (.xlsx file) is provided below:</p> <p>We received ToF-SIMS data (Samples 1–30, 36–51) pertaining to purified melanosome extracts of modern bird feathers (both fresh and capsule-matured) from Caitlin Colleary (Associate Curator of Vertebrate Paleontology, Cleveland Museum of Natural History), based on their previous work (Colleary et al. 2015). Citation below:</p> <p> </p> <p>Colleary, C., A. Dolocan, J. Gardner, S. Singh, M. Wuttke, R. Rabenstein, J. Habersetzer, S. Schaal, M. Feseha, M. Clemens, B. F. Jacobs, E. D. Currano, L. L. Jacobs, R. L. Sylvestersen, S. E. Gabbott, and J. Vinther. 2015. Chemical, experimental, and morphological evidence for diagenetically altered melanin in exceptionally preserved fossils. Proceedings of the National Academy of Sciences USA 112(41):12592-7. doi: https://doi.org/10.1073/pnas.1509831112</p> <p> </p> <p>We further augmented this data set by adding ToF-SIMS spectra from our own samples (31-34, 52-79) pertaining to sediment encased maturation experiments (190ºC to 300ºC) and fossilised feathers of paravian dinosaurs housed at the Shandong Tianyu Museum of Natural History, Linyi Shi, Shandong, China.</p> <p>We conducted Principal Components Analysis with this Data and this dataset effectively serves as a PCA worksheet. The file can be opened/edited using Microsoft 365 Excel (.xlsx) with the following organisation of sheets.</p> <p>Sheets:</p> <p><strong>|----- PCA All</strong> : contains Sample ID, treatment categories, mass by charge (m/z) ratios of 55 peaks, peak identity and raw intensity counts</p> <p><strong>|-----PCA All Normalised</strong> : same data as PCA All but peak raw intensity counts normalised.</p> <p><strong>|-----PCA All Mean Centered</strong>: same data as PCA Normalised but with peak raw intensity mean centered.</p> <p><strong>|-----PCA All Loading Matrix:</strong> Loading matrix for PCA All using all 55 peaks.</p> <p><strong>|-----PCA All Eigen Vectors: </strong>Eigen vectors for PCA All.</p> <p><strong>|-----PCA All Scores: </strong> PCA scores for all 55 peaks.</p> <p><strong>|-----PCA No Lipids RAW</strong>: same data as PCA All but without peaks suspected to arise from lipids (e.g., CxH-).</p> <p><strong>|-----PCA No Lipids Normalised:</strong> same data as PCA without Lipids RAW but with peak raw intensity counts normalised.</p> <p><strong>|-----PCA No Lipids MeanCentred:</strong> same data as PCA without Lipids Norm but with peak raw intensity counts mean centered.</p> <p><strong>|-----PCA No Lipids Loading Matrix:</strong> Loading matrix for PCA All excluding peaks of lipid origin (CxH-).</p> <p><strong>|-----PCA No Lipids Eigen Vectors: </strong>Eigen vectors for PCA No Lipids Eigen Vectors.</p> <p><strong>|-----PCA No Lipids Scores:</strong> PCA scores for all peaks excluding those of lipid origin (CxH-).</p> <p> </p> <p>The dataset has been created in Microsoft Office 365 (Excel: .xlsx file). The file can also be also be opened and edited using the following softwares.</p> <p>1. Google Sheets</p> <p>2. Apache Open Office</p> <p>3. Libre Office</p> <p>4. PAST 4 (free software for scientific data analysis, with functions for data manipulation, plotting, univariate and multivariate statistics, ecological analysis, time series and spatial analysis, morphometrics and stratigraphy)."</p>
Predictive factors of large liver cell carcinoma tumor response after first conventional transarterial chemoembolization in Indonesia according to the modified response evaluation in solid tumors criteria: a preliminary study (supplemental data)
<p>Excel data of the above-mentioned research for supplemental purposes. </p>
Supplemental material to a research manuscript The Effects of a 6-Month Intervention to Reduce Sedentary Time on Skeletal Muscle
<p>Supplemental Figures S1-S2 to a research manuscript called</p> <p>The Effects of a 6-Month Intervention Aimed to Reduce Sedentary Time on Skeletal Muscle Insulin Sensitivity – A Randomized Controlled Trial</p> <p>by</p> <p>Tanja Sjöros1, Saara Laine1, Taru Garthwaite1, Henri Vähä-Ypyä2, Mikko Koivumäki1, Olli Eskola1, Eliisa<br> Löyttyniemi3, Noora Houttu4, Kirsi Laitinen4, Kari K Kalliokoski1, Harri Sievänen2, Tommi Vasankari2,5, Juhani<br> Knuuti1, Ilkka HA Heinonen1,6<br> 1: Turku PET Centre, University of Turku, Åbo Akademi University and Turku University Hospital, Turku,<br> Finland<br> 2: The UKK Institute for Health Promotion Research, Tampere, Finland<br> 3: Department of Biostatistics, University of Turku, Turku, Finland<br> 4: Institute of Biomedicine, University of Turku, Turku, Finland<br> 5: Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland<br> 6: Rydberg Laboratory of Applied Sciences, University of Halmstad, Halmstad, Sweden</p>
Data supplement for the DEM comparison study
<p>Data used for comparing the effects of DEMs on hydrological modeling</p>
mdettleson/JCEM_SUPPLEMENTAL_01: Supplemental material
<p>Supplemental material</p>
Supplemental Material for Manuscript: The Heterogeneity of Social Network and Institutional Covariance in the American Southeast
<p>Supplemental Material for Manuscript: The Heterogeneity of Social Network and Institutional Covariance in the American Southeast</p>
Supplemental data for "Uncertainty in Land Use Obscures Global Soil Organic Carbon Stock Estimates"
<p>These are supporting data for the manuscript: "Uncertainty in Land Use Obscures Global Soil Organic Carbon Stock Estimates." They include data for the figures showing the spatial dynamics of cropland and LULCC-induced SOC loss etc, including Fig.3, Fig.6, Fig.9, and Fig.10.</p>
Supplemental Material for Manuscript: A Network Approach to Zooarchaeological Datasets and Human-Centered Ecosystems
<p>Supplemental Material for Manuscript: A Network Approach to Zooarchaeological Datasets and Human-Centered Ecosystems</p>
ScienceDex guides
Understand access before you commit
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.