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1,773 results for “Supplementary data,”
Supplementary data for 'Results of the third Marine Ice Sheet Model Intercomparison Project (MISMIP+)'
<p>Datasets and model datasheets provided to the third Marine Ice Sheet Model Intercomparison Project (MISMIP+)</p>
Supplementary data for Ün et. al. 2020 "Cytoplasmic incompatibility between New and Old World populations of a tramp ant"
<p>Supplementary annotation and phylogenetic data. See included README file for details.</p>
Supplementary data to Clade-specific biogeographic history and climatic niche shifts of the southern Andean-southern Brazilian disjunction in plants
<p>Georeferenced locality data points used in the climatic analyses. Column "clade" indicate whether the species corresponds to the southern Andean (SA) or to the southern Brazilian (SB) clade. See the book chapter for details.</p> <p>Part of this dataset was built with information downloaded from GBIF (www.GBIF.org) for the following taxa:</p> <p><em>Araucaria</em><br> GBIF.org (06 November 2014) GBIF Occurrence Download https://doi.org/10.15468/dl.2nc359<br> GBIF.org (06 November 2014) GBIF Occurrence Download https://doi.org/10.15468/dl.aym9bi</p> <p><em>Butia</em><br> GBIF.org (30th May 2018) GBIF Occurrence Download https://doi.org/10.15468/dl.k42ama</p> <p><em>Colliguaja</em><br> GBIF.org (28 November 2014) GBIF Occurrence Download https://doi.org/10.15468/dl.nvqo4p<br> GBIF.org (13th January 2016) GBIF Occurrence Download http://doi.org/10.15468/dl.aoovox<br> GBIF.org (15th May 2018) GBIF Occurrence Download https://doi.org/10.15468/dl.mownio</p> <p><em>Griselinia</em><br> GBIF.org (28 November 2014) GBIF Occurrence Download https://doi.org/10.15468/dl.eytdse</p>
Supplementary data for article 'Estimating and abstracting the 3D structure of feline bones using neural networks on X-ray (2D) images'
<p>3D DICOM volumes (CT scans) of feline femora, PNGs generated from them as DRRs using MeVisLab, and STLs generated from the DICOM volumes with MIMICS or MeshLab. Software to work with these files can be found at http://doi.org/10.5281/zenodo.3829423</p>
abschneider/Paper_HBV_Greenland: Supplementary data
<p>Supplementary data of paper "Analysis of Hepatitis B virus genotype D in Greenland suggests presence of novel subtype".</p>
Supplementary data for "Molecular dynamics study of confined water in the periclase-brucite system under conditions of reaction-induced fracturing"
<p>In this dataset you can find sample data from periclase and brucite simulations and python scripts that can be used to confirm the plots in the paper.</p> <ul> <li>"bruciteSimualtions" and "periclaseSimualtions" contains the simulations where the mineral in contact with water is either brucite or periclase. Within each of these two folders, there are two subfolders, "waterProperties" and "waterThickness". <ul> <li>The data in "waterProperties" is used to calculate water properties. Each folder inside "simulations" represent one simulation.</li> <li>The data in "waterThickness" is used to calculate the change in water film thickness with time under different conditions. The simulations are run for either 3 ns or 10 ns. Each folder inside "simulations_Xns" represent one simulation.</li> </ul> </li> <li>For each folder containing one simulations, we provide: <ul> <li>NAME.run: The input script</li> <li>NAME.data: The input data</li> <li>job.sh: Script to run the simulation</li> <li>log.lammps: Thermodynamic output from the simulation</li> <li>Note that the pressures given in the folder names and in the simulations are in atm, not MPa.</li> </ul> </li> </ul> <p> </p> <ul> <li>"bruciteSimulations" and "periclaseSimualtions" are in zip containers. In order to use them, please unzip them and leave the resulting folders in the same directory as this README file. </li> </ul> <p> </p> <ul> <li>The python scripts shows how to extract the relevant data from the lammps log files, which enables reproduction of the figures in the paper. See instructions below to use the scripts.</li> </ul> <p><br> Installation instructions to make the python plot scripts working, assuming you already have numpy and matplotlib:</p> <p>> pip3 install git+https://github.com/henriasv/regex-file-collector.git</p> <p>> pip3 install git+https://github.com/henriasv/lammps-logfile.git<br> </p> <p>If this does not work, please contact Marthe Grønlie Guren, m.g.guren@geo.uio.no</p>
Supplementary Data to Dual clumped isotope thermometry resolves kinetic biases in carbonate formation temperatures
<p>In this dataset, we provide analytical and model data to <em>Dual clumped isotope thermometry resolves kinetic biases in carbonate formation temperatures</em> by Bajnai et al. (2020). Also deposited here is the R code that we used to calculate the equations and generate the figures in the manuscript.</p>
Supplementary data products for Moniruzzaman et al., 2020
<p>Processed data products for Moniruzzaman et al., "Widespread Endogenization of Giant Viruses Shapes Green Algal Genomes".</p>
Raw data and supplementary material of the fifth inter-laboratory testing program (RRT5, self-healing concrete with macrocapsules) of the EU COST action SARCOS
<p>This data is the result of a collaboration of scientists working on the development of self-healing concrete within the framework of the European Cooperation in Science and Technology (COST) Action “Self-healing as preventive repair of concrete structures” SARCOS CA15202.</p> <p>In the framework of SARCOS 6 inter-laboratory testing programs are being executed to investigate possible standard test methods for self-healing concrete, each of the testing programs focusing on a different self-healing technique:<br> (1) Concrete with mineral additions,<br> (2) Concrete with the addition of magnesium oxide,<br> (3) Concrete enhanced with crystalline admixtures,<br> (4) High performance fibre reinforced concrete enhanced with crystalline admixtures,<br> (5) Concrete with preplaced macrocapsules containing polymeric healing agent, and<br> (6) Concrete with encapsulated bacteria.</p> <p>The data which can be found here have been obtained in the inter-laboratory testing program 5 "Concrete with preplaced macrocapsules containing polymeric healing agent". In total 6 labs participated in this testing program: Ghent University, Politecnico di Torino, Riga Technical University, Cracow University of Technology, Cambridge University, and KU Leuven (Ghent Technology Campus). All specimens were cast at Ghent University and were then distributed to the different labs, where they were tested.</p> <p>The testing program consisted of tests on both concrete and mortar specimens. The reinforced concrete specimens were cracked in a displacement-controlled three-point bending setup. Subsequently, they were subjected to two capillary water absorption tests, each with a different waterproofing technique. The mortar specimens were not reinforced, instead they were provided with a Carbon Fibre Reinforced Polymer (CFRP) laminate at the top. They were cracked in a force-controlled three-point bending setup, and immediately an active crack width control technique was applied to restrain the crack width of the specimens to a desired crack width range. After measuring of the crack width, the water permeability of the mortar specimens was accessed in a water flow test. In the end, the specimens were cracked open to assess the spread of the polyurethane healing agent.</p>
Supplementary data (simulated metagenome set 2) to accompany "phyloFlash – Rapid SSU rRNA profiling and targeted assembly from metagenomes"
<p>Comparison of SSU rRNA read extraction and targeted assembly from simulated shotgun metagenome of closely related Bacteorides strains.</p> <p>The phyloFlash software is available from https://github.com/HRGV/phyloFlash. Examples were generated with phyloFlash v3.3b.</p>
Supplementary data (simulated metagenome set 3) to accompany "phyloFlash – Rapid SSU rRNA profiling and targeted assembly from metagenomes"
<p>Comparison of SSU rRNA read extraction and targeted assembly from simulated shotgun metagenome of closely related Bacteorides strains.</p> <p>The phyloFlash software is available from https://github.com/HRGV/phyloFlash. Examples were generated with phyloFlash v3.3b.</p>
Ediacaran metazoan fossils with siliceous skeletons from the Digermulen Peninsula of Arctic Norway – Supplementary Data
<p><span>In this study, a new assemblage of Ediacaran metazoan fossils is reported from the basal Stáhpogieddi Formation on the Digermulen Peninsula of Arctic Norway, including <i>Anulitubus</i> n. gen. Moczydłowska in Moczydłowska et al., <i>Anulitubus formosus</i> n. gen. n. sp. Moczydłowska in Moczydłowska et al., <i>Coniculus</i> n. gen. Moczydłowska in Moczydłowska et al., <i>Coniculus elegantis</i> n. gen. n. sp. Moczydłowska in Moczydłowska et al., <i>Fistula</i> n. gen. Moczydłowska in Moczydłowska et al., <i>Fistula crenulata</i> n. gen. n. sp. Moczydłowska in Moczydłowska et al. The specimens are three-dimensionally preserved and include tubular and conical skeletons that are morphologically distinguished by their body wall constructions, radial symmetry, polarity, segmentation, and annulation. The skeletons are interpreted to be biomineralized by primary silica based on computed micro-tomographic, petrographic, geochemical and spectroscopic evidence of originally rigid body wall with layers of constant thicknesses, composed of opal, microcrystalline quartz and admixture of carbonaceous material, which differ from the host sediment mineralogy and do not show replacement or encrustation. The fossil-bearing interval immediately overlies strata of Gaskiers age and can be bracketed within 580–541 Ma, but it is estimated to be ~575 Ma on the basis of averaged sedimentation rates and biostratigraphic correlations with Ediacaran biota found in up-section deposits of ~558–555 Ma. Future new findings of such fossils in different preservation modes and further multi-collector inductively coupled plasma mass spectrometry, which shows the silicon fractionation and trace its biogenic origin vs inorganic mineralization, may corroborate the interpretation of biogenic silicification of these earliest skeletal fossils.</span></p>
Limb work and joint work minimisation reveal an energetic benefit to the elbows-back, knees-forward limb design in parasagittal quadrupeds. Supplementary material including data, simulation code and simulation results
<p>Quadrupedal animal locomotion is energetically costly. We explore two forms of mechanical work that may be relevant in imposing these physiological demands. Limb work, due to the forces and velocities between the stance foot and the centre of mass, could theoretically be zero given vertical limb forces and horizontal centre of mass path. To prevent pitching, skewed vertical force profiles would then be required, with forelimb forces high in late stance and hindlimb forces high in early stance. By contrast, joint work – the positive mechanical work performed by the limb joints – would be reduced with forces directed through the hip or shoulder joints. Measured quadruped kinetics show features consistent with compromised reduction of both forms of work, suggesting some degree of, but not perfect, inter-joint energy transfer. The elbows-back, knees-forward design reduces the joint work demand of a low limb-work, skewed, vertical force profile. This geometry allows periods of high force to be supported when the distal segment is near vertical, imposing low moments about the elbow or knee, while the shoulder or hip avoids high joint power despite high moments because the proximal segment barely rotates – translation over this period is due to rotation of the distal segment.</p>
Supplementary data (table with explanation)
<p>Homology analysis data generated by package DNASTAR MegaAlign 5.00. Sequence data were obtained from HCV (n=29 HCV sequeces) detected in the dialysis unit of a tertiary care teaching medical center in Assam. </p>
Supplementary files for Crane et al., "Lots of movement, little progress": R Code, data and figures
<p>Datasets, R code and figures pertaining to the manuscript: Crane M, Silva I, Marshall BM, & Strine CT.<em> Lots of movement, little progress: A review of reptile home range literature.</em></p>
Supplementary data for: "Global Venus-solar wind coupling and oxygen ion escape"
<p>Supplementary data for paper "Global Venus-Solar wind coupling and oxygen ion escape", submitted to Geophysical Research Letters. See README file for description of the data in each file.</p>
Supplementary Data for "Influence of First And Second Coordination Environment on Structural Fe(II) Sites in MIL-101 for C-H Bond Activation in Methane"
<p>Cartesian coordinates for all the optimized geometries reported in "Influence of First And Second Coordination Environment on Structural Fe(II) Sites in MIL-101 for C-H Bond Activation in Methane" (acscatal.0c03906)</p>
Supplementary Data for Secondary structure and DNA binding domain prediction
<p><strong>This project contains the following extended data:</strong></p> <ul> <li><strong>Supplementary Table 1: </strong>Summary table of DNA binding domains (DBD), the counts of target regions within the genome and statistical analysis. (DNA_BINDING_DOMAINS_ID.tsv)</li> <li><strong>Sequence</strong>: ecCEBPα secondary structure prediction with RNAplfold at a pairing probability cut off of 0.1. N represents all sequences with pairing probability greater than 0.1. (predicted_secondary_structure_of_ecCEBPA.fa)</li> </ul>
Supplementary Data for Remote soil moisture measurement from drone-borne reflectance spectroscopy: Applications to hydroperiod measurement in desert playas
<p>This supporting dataset includes:</p> <p>• Ground-based reflectance measurements for the two plume-crossing transects (AHT3 and AHT4). Data show reflectance by wavelength at each scan position.</p> <p>• Reduced data records (RDR) showing GPS position data for the drone and the associated reflectance measurement, by wavelength, averaged over 1 second intervals for the three mapping sorties, AHS4, 5, and 7.</p> <p>• The sample datasheet showing ground-based and lab-base measurements of the sampling transects.</p>
Supplementary Material and Code of Evidence for immunity to SARS-CoV-2 from epidemiological data series
<p>This Supplementary Material file, Code and Data correspond to the manuscript:</p> <p>Evidence for immunity to SARS-CoV-2 from epidemiological data series<br> Pablo Yubero, Alvar A. Lavin, Juan F Poyatos<br> medRxiv 2020.07.22.20160028; doi: https://doi.org/10.1101/2020.07.22.20160028</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.