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1,773 results for “Supplementary data,”
FIGURE 4. Oribatodes mirabilis Banks, 1895 in Contribution to knowledge of the oribatid mite genus Oribatodes (Acari, Oribatida, Cepheusidae), with supplementary descriptions of two species and data on juvenile instars
FIGURE 4. Oribatodes mirabilis Banks, 1895, tritonymph: A—leg I, right, antiaxial view; B—leg II (tarsus not shown), right, antiaxial view; C—leg III (tarsus not shown), left, antiaxial view; D—leg IV, left, antiaxial view. Scale bar 50 μm.
Supplementary Data for Thesis
<p>All supplementary data tables accompanying the PhD thesis entitled "Systems immunology of inter-individual diversity in infection and vaccination"</p>
Deliverable 5.1 Supplementary Data - PM Assessments
<p>A preliminary PM assessment of chemicals on the global chemical inventory. This data is still being processed for quality control and assurance. As such these assessments should be considered preliminary and it is not recommended to use the data in its current form. A curated and updated version of the dataset will be made openly available once the data has been submitted for publication. A link will be provided here when it is available. </p>
Supplementary Data Files from: Molecular Characterization of the Sea Lamprey Retina Illuminates the Evolutionary Origin of Retinal Cell Types
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Supplementary Table S2. DNA polymorphisms in gene sequences of 56 sea buckthorn accessions based on the analysis of whole-genome sequencing data.
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supplementary data
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ROSETTA ALICE SUPPLEMENTARY DOCUMENTS AND DATA V1.0
This small data set contains CODMAC Level 6 products linked to the Rosetta Orbiter ALICE UV Spectrometer during the comet phase around comet 67P/Churyumov-Gerasimenko Rosetta, which took place between 2014-01-21 and 2016-09-30. It collects supplementary documentation and data of interest to users of the Rosetta Alice data products. It contains a logbook of all observations, an Alice-specific operations manual, and data tables for g-factor and the UV Chameleon feature.
Supplementary MRSI Data for "High-Resolution Metabolic Imaging of High-Grade Gliomas using 7T-CRT-FID-MRSI" - NIFTI Format FIXED
<p>Intended as supplementary data to the manuscript "High-Resolution Metabolic Imaging of High-Grade Gliomas using 7T-CRT-FID-MRSI"</p> <p>Authors:<br> Gilbert Hangel, Cornelius Cadrien, Philipp Lazen, Julia Furtner, Alexandra Lipka, Eva Hečková, Lukas Hingerl, Stanislav Motyka, Stephan Gruber, Bernhard Strasser, Barbara Kiesel, Mario Mischkulnig, Matthias Preusser, Thomas Roetzer, Adelheid Wöhrer, Georg Widhalm, Karl Rössler, Siegfried Trattnig and Wolfgang Bogner</p> <p>###################################################<br> MRSI Maps from the Vienna 7T scanner in MINC format<br> ###################################################</p> <p>Contact: wolfgang.bogner@meduniwien.ac.at , gilbert.hangel@meduniwien.ac.at<br> https://hfmr.meduniwien.ac.at/</p> <p>For use with NIFTI-displaying software.</p> <p>MRSI method published as Hingerl et al 2020, doi: 10.1097/RLI.0000000000000626</p> <p>Patient 1:<br> Glioblastoma WHO Grade 4, with IDH1 mutation, male<br> Patient 2:<br> Glioblastoma WHO Grade 4, with IDH1 mutation, male<br> (Same numbers as in the manuscript)</p>
CENTRE-PD Top 10 Publication Supplementary Material and Raw Data
<p>Supplementary material and Raw Data for CENTRE-PD Top 10.</p>
Supplementary MRSI data for "Inter-subject stability and regional concentration estimates of 3D-FID-MRSI in the human brain at 7T"
<p>Intended as supplementary data to the manuscript "Inter-subject stability and regional concentration estimates of 3D-FID-MRSI in the human brain at 7T"</p> <p>Authors:<br> Gilbert Hangel, Benjamin Spurny, Philipp Lazen, Cornelius Cadrien, Sukrit Sharma, Lukas Hingerl, Eva Hečková, Bernhard Strasser, Stanislav Motyka, Alexandra Lipka, Stephan Gruber, Christoph Brandner, Rupert Lanzenberger, Karl Rössler, Siegfried Trattnig, Wolfgang Bogner</p> <p>###################################################<br> MRSI Maps from the Vienna 7T scanner in MINC/NIFTI format<br> ###################################################</p> <p>Contact: wolfgang.bogner@meduniwien.ac.at , gilbert.hangel@meduniwien.ac.at<br> https://hfmr.meduniwien.ac.at/</p> <p>For use with and MINC- and NIFTI-displaying software.</p> <p>MRSI method published as Hingerl et al 2020, doi: 10.1097/RLI.0000000000000626</p> <p>Volunteers 7,11,13,19,23 as described in Tables 1 and 2.</p>
FIGURE 27 in Supplementary data and taxonomic changes in the subterranean beetles of the Balkan Peninsula from July 1 2016 to September 30 2023
FIGURE 27. Orcusiella prokletijensis Pavićević et al. 2020, 8.00–8.60 mm (original).
Global data on caudal condition in geckos based on iNaturalist images with supplementary material for the manuscript: Human footprint is changing how geckos respond to enemies: evidence from global citizen science data
<h3>This repository contains the supplementary material and dataset linked to the paper "Human footprint is changing how geckos respond to enemies: evidence from global citizen science data" </h3> <p>we provide two supplementary tables in .csv and .xlsx files (Table S1 and S2), a figure S1, and the two datasets in .csv (data_28_03.csv is the raw dataset, and the table S3 is the dataset compile from the literature review). We also include a crosstable (table2.html) comparing metrics based on the variables raised during the project among gecko species.</p> <h3> </h3>
Solar PV competitiveness in mature markets without subsidy - Supplementary Data
<p>This is the data set named "Supplementary Data 1" for the research paper "Solar PV competitiveness in mature markets without subsidy". This data set also contains the raw data for reproducing Figure 1 through to Figure 4. The paper is currently under review and access is for peer-review purposes only.</p>
Supplementary Data for a Feasibility Study on Boulder Detection in the Shallow Sub-Seafloor with Beamforming on Ultra-High Resolution Seismic Data
<p>Ultra high resolution multi channel seismic and multi-beam echo sounder data has been collected during the expedition He525 with R/V Heincke in March 2019 to conduct a feasibility study on boulder detection in the shallow sub-seafloor with beamforming on ultra-high resolution seismic data. The campaign of one week took place in the north of Helgoland in the German North Sea sector.</p>
BIRAFFE2-Supplementary Data: Raw images of the participants (2 of 2)
<p>This repository contains raw images of participants taken during BIRAFFE2 experiment. They were processed by the MS Face API to provide information in the BIRAFFE2 dataset. In the final BIRAFFE2 dataset these face images are not included as we have not received permission from the participants to distribute them.</p> <p>This repository contains the second part of the face images. For the first part, see <a href="https://doi.org/10.5281/zenodo.5784512">10.5281/zenodo.5784512</a>.</p> <p>See <a href="https://doi.org/10.5281/zenodo.3865859">10.5281/zenodo.3865859</a> for the actual BIRAFFE2 repository.</p>
BIRAFFE2-Supplementary Data: Raw images of the participants (1 of 2)
<p>This repository contains raw images of participants taken during BIRAFFE2 experiment. They were processed by the MS Face API to provide information in the BIRAFFE2 dataset. In the final BIRAFFE2 dataset these face images are not included as we have not received permission from the participants to distribute them.</p> <p>This repository contains the first part of the face images. For the second part, see: <a href="https://doi.org/10.5281/zenodo.5784524">10.5281/zenodo.5784524</a>.</p> <p>See <a href="https://doi.org/10.5281/zenodo.3865859">10.5281/zenodo.3865859</a> for the actual BIRAFFE2 repository.</p>
Supplementary Data and Code: Different traits dominate evolution at early and late stages of adaptive radiation
<p>Supplementary Data and R code for phylogenetic analyses for manuscript entitled <em>Different traits dominate evolution at early and late stages of adaptive radiation</em>. </p> <p>Code.zip contains all R scripts and data needed for analyses in the paper. It is divided in two parts, DECOUPLED DIVERSIFICATION (folder 1) and STATES-DEPENDENT SPECIATION AND EXTINCTION (folder 2).</p> <p>1) DECOUPLED DIVERSIFICATION</p> <p>"data" folder contains phyogeny, morpho and eco data, species by clades, and RDS with imputed values for missing traits.</p> <p>Niphargus_trait_evolution.rmd file runs neccessary packages and scripts and outputs results. Note that working directory and "result" folder need to be defined before you run the script.</p> <p>00_data.R: import and data manipulation, including imputation of missing values to morpho ds. All variables needed in later analyses are defined here, including subsets, subclades, etc.<br>00_functions.R: all custom functions<br>01_figure1_phylogeny.R: plots half-circle phylogeny<br>02_regression_PCA.R: runs phylogenetic regression and PCA, and saves results<br>03_kmeans.R: calculates k-means and saves results<br>04_modeling.R: runs modeling, ancestral trait reconstruction and morphospace expansion through time, simulations and comparison of morphospace expansion of real and simulated data.</p> <p>2) STATES-DEPENDENT SPECIATION AND EXTINCTION</p> <p>This folder includes data and code used for sec_sse analysis. The analysis was run on whole genus and three major clades. Additionally, trophic trait classes were compared with habitat trait class (trophicD and trophicP), so overall, 8 combinations of model comparisons were performed. The folder is thus divided into "clades" and "whole_genus" subfolders. Data and R scripts for model setup, launching the analysis and calculation of AIC values are provided.</p>
Supplementary data
<p>Supplementary Fig. 1. (A) Heatmap of upregulated and downregulated genes between the MI/R and Sham groups. (B) Heatmap of upregulated and downregulated genes between the MI/R + ASP and MI/R groups. lfc means log2 value of absolute fold-change.</p> <p>Supplementary Table 1. Differentially expressed genes in the MI/R group compared with those in the Sham group.</p> <p>Supplementary Table 2. Differentially expressed genes in the MI/R + ASP group compared with those in the MI/R group.</p>
Supplementary data for PhD Thesis - Appendix D.i: 16S community abundance and taxonomy data
<p>Abundance and taxonomic assignments from 3 Pyrosequencing runs, and 1 MiSeq run for chapters 2-5 of PhD Thesis.</p> <p>Data provided in tab- separated text format.</p>
Supplementary data for PhD Thesis - Appendix D.i-iv
<p>16S abundances, taxonomic assignments, environmental data, community metabolic predictions, and Differential abundance testing from 3 Pyrosequencing runs, and 1 MiSeq run; relevant to chapters 2-5 of PhD Thesis.</p> <p>Data provided in tab- separated text format.</p> <p> </p> <p>## Appendix D.i: 16S community abundance and taxonomy data</p> <p>## Appendix D.ii: environmental, process, and sequencing map-file data</p> <p>## Appendix D.iii: predicted metabolism (chapter 2)</p> <p>## Appendix D.iv: Differential Abundance testing (LEfSe [ch 2, 3], DESeq2 [ch 5])</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.