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1,773 results for “Supplementary data,”
Supplementary Data
<p>Supplementary Data</p>
Supplementary Data for 'Gas-phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides'
<p>This dataset contains supplementary data for the publication 'Gas-phase Peroxyl Radical Recombination Reactions: A Computational Study of Formation and Decomposition of Tetroxides. Data consist of various output-files of quantum chemical computations.</p>
Supplementary File S3. Molecular data.
<p>Supplementary File S3</p> <p>Material used for molecular analyses in the study: Open access in a taxonomic sense: a morphological and molecular guide to Western Palaearctic Dusona (Hymenoptera, Ichneumonidae).</p>
Supplementary data Castillo-Mendoza et al.
<p>Supplementary materials:</p> <p>Figure S1. Isolation and structural elucidation of compounds Kaempferol 3-O-glucopyranoside.</p> <p>Figure S2. Isolation and structural elucidation of Kaempferol 3-(3",4" -Diacetyl-2",6" -di-E-p-coumaroyl)</p>
Shallow and deep subsurface sediment remobilization and intrusion in the Middle Jurassic to Lower Cretaceous Agardhfjellet Formation (Svalbard) [Supplementary material/digital model data]
<p>Supplementary model data for the publication Ogata et al. (in review):</p> <p>Most of the models suffer from incorrect location metadata, limiting their use to mostly qualitative interpretations.</p> <p>Shallow and deep subsurface sediment remobilization and intrusion in the Middle Jurassic to Lower Cretaceous Agardhfjellet Formation (Svalbard).</p>
Supplementary data for camera-based monitoring of Bogong moths
<p>Supplementary data to be used in conjunction with the images available from the following repositories:</p> <p>Cabramurra 2019 dataset: <a href="http://doi.org/10.5281/zenodo.4950570">https://doi.org/10.5281/zenodo.4950570</a>,<br> Ken Green Bogong 2019–2020 dataset: <a href="http://doi.org/10.5281/zenodo.4971714">https://doi.org/10.5281/zenodo.4971714</a>,<br> Mt Kosciuszko 2019–2020 dataset: <a href="http://doi.org/10.5281/zenodo.5039891">https://doi.org/10.5281/zenodo.5039891</a>,<br> Ken Green Bogong 2020–2021 dataset: <a href="https://doi.org/10.5281/zenodo.4972022">https://doi.org/10.5281/zenodo.4972022</a>,<br> Mt Kosciuszko 2020–2021 dataset: <a href="http://doi.org/10.5281/zenodo.5040011">https://doi.org/10.5281/zenodo.5040011</a>,<br> Mt Gingera 2020–2021 dataset: <a href="https://doi.org/10.5281/zenodo.5040018">https://doi.org/10.5281/zenodo.5040018</a>.</p> <p>20210823_14_model.pth (the trained pytorch model used by camfi) is also available from <a href="https://github.com/J-Wall/camfi/releases/download/v2.1.4/20210823_14_model.pth">https://github.com/J-Wall/camfi/releases/download/v2.1.4/20210823_14_model.pth</a> and is included here for posterity.</p> <p> </p>
Supplementary data for "Analysis of Non-21α-hydroxylase-deficiency Primary Adrenal Insufficiency in Childhood: Data from 113 Chinese Patients"
<p>Supplementary data for "Analysis of Non-21α-hydroxylase-deficiency Primary Adrenal Insufficiency in Childhood: Data from 113 Chinese Patients"</p> <p><strong>Supplementary Table 1 </strong>Causes of Primary Adrenal Insufficiency in Children</p> <p><strong>Supplementary Table 2</strong> Mutations Detected in Subjects with non-21-OHD CAH Inherited Causes of Childhood-Onset Primary Adrenal Insufficiency</p> <p><strong>Supplementary Table 3 </strong>Clinical findings in Subjects with Non-21-OHD Inherited Causes of Childhood-Onset Primary Adrenal Insufficiency</p> <p><strong>Supplementary Table 4 </strong>Population Frequencies of Common Variants in <em>STAR</em> or <em>MC2R</em></p>
Supplementary data for Orciraptor agilis de novo transcriptome assembly study
<p>Supplementary Data for study "Comparative transcriptomics reveals the molecular toolkit used by an algivorous protist for cell wall perforation"</p>
Supplementary data for Provenance Analysis of Early Neoproterozoic Metasedimentary Rocks in Western Central Tianshan Block and Paleogeographical Reconstruction
<p>Supplementary data for Provenance Analysis of Early Neoproterozoic Metasedimentary Rocks in Western Central Tianshan Block and Paleogeographical Reconstruction.</p>
Supplementary data files
<p>The supplementary data files contained in this repository support the findings of the manuscript: </p> <p>King, D.N., Clark, K., Chagué, C., Lane, E., Li, X., McFadgen, B., Hippolite, J., Meihana, P., Dobson, J., Wilson, B., Geiger, P., Robb., H., Hikuroa, D., Williams, S., Morgenstein, R., Scheele, F. 2022. Tsunami or storm deposit? A late Holocene sedimentary record from Swamp Bay, Rangitoto ki te Tonga/D’Urville Island, Aotearoa - New Zealand. New Zealand Journal of Geology and Geophysics, <a href="https://doi.org/10.1080/00288306.2022.2087692">https://doi.org/10.1080/00288306.2022.2087692</a></p>
Supplementary Information and Data for The Effect of Compositional Heterogeneity on the Martensite Start Temperature of a High Strength Steel During Rapid Austenitisation and Cooling
<p>The supplementary information and supporting data for "The Effect of Compositional Heterogeneity on the Martensite Start Temperature of a High Strength Steel During Rapid Austenitisation and Cooling" in the proceedings of the 42nd Risø International Symposium on Materials Science. The images used in the paper are also included. The files for the montaged EBSD datasets are not included but can be made available upon request. Contact the corresponding author: mark.taylor-5@manchester.ac.uk</p>
Supplementary Data
<p>Supplemental data for "Multisensory stimulation improves cognition and behavior in adult male rats born to LT4-treated thyroidectomized dams"</p>
Supplementary Data
<p>The following are the formulas (1), (2), (3), (4), and (5) that were used to determine potential yields in each production component (plants, flowers, pods, and grains) of soybeans, and the formula (6) that were used to determine the losses caused by each factor in the components of soybean production.</p>
supplementary data 2
<p><strong>Supplementary data 2.</strong> The assumptions for the application of the ANOVA were verified. ANOVA test and posthoc test with P-values were performed.</p>
Supplementary Data for "Phosphorus variations in volcanic sequences reveal the linkage between regional tectonics and terrestrial biota evolution" in G-Cubed.
<p>Supplementary data tables for Ma et al. (2022) associated with the paper entitled "Phosphorus variations in volcanic sequences reveal the linkage between regional tectonics and terrestrial biota evolution" published in <em>G-Cubed</em>.</p>
Cryo-EM structure of gas vesicles - supplementary data
<p>This deposition contains supplementary data from our preprint:</p><p>Huber, S. T., Terwiel, D., Evers, W. H., Maresca, D., & Jakobi, A. J. (2022). Cryo-EM structure of gas vesicles for buoyancy-controlled motility. <i>bioRxiv</i>, 2022-05.</p><p>(Update 26.04.2023), Now in:</p><p>Huber, S. T., Terwiel, D., Evers, W. H., Maresca, D., & Jakobi, A. J. (2023). Cryo-EM structure of gas vesicles for buoyancy-controlled motility. <i>Cell</i>, <i>186</i>(5), 975-986.</p><p> </p><p><strong>2Dclasses_AnaMega_SeamsEdgesWallTips.zip</strong></p><p>This folder contains 2D class averages of different features of <i>A.flos-aquae</i> and <i>B.megaterium</i> gas vesicles (GVs) such as the seams between both GV halves, GV wall edges, collapsed walls and tips. We use this data to inform our pseudo-atomic model of an entire gas vesicle, and derive a model for biogenesis and growth. Some 2D classes provide high-resolution views on the GV wall in projection with a resolution that show the α-helical pitch and large side-chain densities. We use those views to confirm the evolutionarily conserved fold of the gas vesicle wall protein.</p><p>The box size and pixel size of the 2D classes is contained in the file names. A selected and sharpened 2D class for display in the manuscript is included in .png format.</p><p><strong>AlphaFold2_Models_5merRib_DifferentOrganisms.zip</strong></p><p>This folder contains five AlphaFold2 predictions of a single rib of the gas vesicle wall for organisms that are evolutionarily only little related (GvpA1 and GvpA2 from <i>B.megaterium</i>, GvpA from <i>A.flos-aquae</i> and GvpA1 and GvpA2 from <i>H.salinarum</i>). AF2 predicts very similar structure for these organisms, further supporting the high conservation of the gas vesicle wall.</p><p><strong>AnaGvpA_GvpC_ComputationalDocking_HADDOCK.zip</strong></p><p>In the manuscript, we propose a binding mode of the secondary protein GvpC to <i>A.flos-aquae</i> gas vesicles using computational docking with HADDOCK. We present two possible solutions with opposite orientation. The cif-files of the docking solution is contained in this folder.</p><p><strong>GasPoreAnalysis.zip</strong></p><p>We analysed gas pores between α-helix 1 of adjacent GvpA monomers using MOLE2.5. The three resulting tunnels are in this folder. The respective pdb files contain the constriction in Ångstrom in each line. A Chimera 1.13.1 session is included for visualisation.</p>
Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia"
<pre>Supplementary data "Broad genomic workup including Optical Genome Mapping uncovers a DDX3X::MLLT10 gene fusion in Acute Myeloid Leukemia" - OGM Rare Variant Analysis for both time points extracted from Bionano Access RVP Analysis output folder: -> unfiltered annotated SV output -> unfiltered CNV output - Whole Exome Sequencing Gene Panel results as output by Varvis (Limbus) (CSV file) -> WES SNVs -> WES CNVs - Quality metrics + selected results: -> OGM; both time points -> Whole Exome Sequencing; time point 1</pre>
Supplementary Data for the Project Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome
<p><strong>Supplementary Tables for the Project "Multiomics and quantitative modelling disentangle diet, host, and microbiota contributions to the host metabolome"</strong></p> <p>Supplementary Table 1. List of 18 genome-sequenced human gut bacteria with metabolic characteristics that were used for community assembly.</p> <p>Supplementary Table 2. Diet composition.</p> <p>Supplementary Table 3. Species relative abundance.</p> <p>Supplementary Table 4. Gene abundance and expression changes.</p> <p>Supplementary Table 5. Gene pathway enrichment results.</p> <p>Supplementary Table 6. Metabolomics data.</p> <p>Supplementary Table 7. Metabolite fold changes, clustering and model parameters.</p> <p>Supplementary Table 8. Description of the intestinal flux model.</p> <p>Supplementary Table 9. Enzymatic paths between substrates and products.</p> <p>Supplementary Table 10. Pearson's correlation coefficients between potential substrates and products, and metagenomics and metatranscriptomic measurements.</p>
Supplementary data: Absorption of charged particles in Perfectly-Matched-Layers by optimal damping of the deposited current
<p>This archive contains the scripts needed to reproduce the figures of the paper "Absorption of charged particles in Perfectly-Matched-Layers by optimal damping of the deposited current" (https://arxiv.org/abs/2201.09084)</p> <p>More specifically, each folder contains:</p> <p>- Input scripts to run the WarpX simulations (this used WarpX 22.06): the corresponding files have names that start with `input`<br> - Script that show how the WarpX simulations were launched: the corresponding files have names that start with `submission`<br> - Jupyter notebooks that show how to plot the results: the corresponding files have names that start with `Plot`</p>
Supplementary data to "Variability of Antenna Signals from Dust Impacts"
<p>Supplementary data to "Variability of Antenna Signals from Dust Impacts"</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.