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A lemon (Le) leaf (Le) images dataset for aphids (Phid) detection. It includes 665 files with annotations regarding objects (leaves) and state (healthy and aphids presence).
Data Types:
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  • Image
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HMG2D-analyzer is a java based biological tool intended to find common links between two pathologically significant databases, and further use the derived results to predict correlation between two analytes that may otherwise be unrelated. The attached user guide outlines the procedure which needs to be followed to use this tool efficiently and extract desired results. No prior programming knowledge is required to use this tool. And hmg2d-analyzer works offline as a standalone desktop application.
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If you use this data, please cite "Y. Bekiroglu, M. Björkman, G. Zarzar Gandler, J. Exner, C. H. Ek, D. Kragic. Visual and Tactile 3D Point Cloud Data from Real Robots for Shape Modeling and Completion, Data in Brief (2020), https://doi.org/10.1016/j.dib.2020.105335". The data was used for shape completion and modeling via Implicit Surface representation and Gaussian-Process-based regression, in the work “G. Zarzar Gandler, C. H. Ek, M. Björkman, R. Stolkin, Y. Bekiroglu. Object shape estimation and modeling, based on sparse Gaussian process implicit surfaces, combining visual data and tactile exploration, Robotics and Autonomous Systems (2020), https://doi.org/10.1016/j.robot.2020.103433”, and also used partially in “M. Björkman, Y. Bekiroglu, V. Högman, D. Kragic. Enhancing visual perception of shape through tactile glances, in IEEE/RSJ International Conference on Intelligent Robots and Systems (2013)".
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Details of the different MDR pattern and antibiotypes of E. coli of healthy ostrich and poultry with colibacillosis
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  • Software/Code
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Fibre extracts were analysed on the presence of natural colourants by HPLC-UV-Vis-ESI MS/MS using positive and negative dynamic multiple reaction monitoring (dMRM) modes. Brown and green fibres were extracted twice with DMSO and with acidic-methanol solution, whereas yellow and orange fibres were extracted only using the second procedure.
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  • Software/Code
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  • Document
  • Text
Details of the data of the antibiotic sensibility testing
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Data for Figure 1, 2, 4, 6, 8 and 10 for a paper to be submitted in data in brief journal. These data describe the values in spectroscopic analysis which are Fourier transform infra red (FTIR), UV-Vis spectrophotometer, Nuclear magnetic resonance (NMR).
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  • Software/Code
  • Image
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Provided are the raw data for "Humanisation of the zebrafish C5a receptor confers targeting by human-specific staphylococcal virulence factors", available at https://www.biorxiv.org/content/10.1101/2020.02.18.955021v1 This mostly includes raw imaging data that we used to make the figures, in addition to some Prism files we used for data processing. Below is a copy of the abstract for this work. Staphylococcus aureus (S. aureus) possesses high host-specificity, including many human-specific virulence factors. Current efforts towards vaccine development have largely failed, citing inappropriate infection models and insufficient understanding of staphylococcal virulence. We sought to create a humanised zebrafish infection model susceptible to human-specific virulence factors, focusing on the human C5a receptor (C5AR1) which is targeted by three human-specific staphylococcal virulence factors, CHIPS, PVL, and HlgCB. We demonstrated that the zebrafish C5a receptor (C5aR) responds to serum-derived zebrafish C5a, mediates phagocyte recruitment, and is not targeted by any adapted staphylococcal virulence factors. In vivo expression of C5AR1 in zebrafish neutrophils conferred susceptibility to PVL and HlgCB and enhanced S. aureus infection. Lastly, we designed a humanised zebrafish C5aR with only three amino acid changes that maintains endogenous signalling capability yet gained sensitivity to CHIPS-mediated inhibition. We show that a partially humanised zebrafish is a valuable model for investigating host-specific virulence factors.
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We simulated the surface evolution for a pre-Nectarian surface unit and found that relative to their size, large complex craters are less destructive to the surrounding terrain than small simple craters. The data is structured as follows: 01_CTEM_Outputs - .dat files in which the craters from the simulations are stored - Python script to convert the .dat files to shapefiles 02_Shapefiles_From_CTEM_Outputs - Shapefiles in which the craters from the simulations are stored - Shapefile of the surrounding area (created manually) 03_CSFD_Measurements - A modified version of CSFD Tools to conduct Cartesian crater size-frequency distribution measurements - .scc files which contain the results from the Traditional Crater Counting and Non-sparseness Correction techniques (for further analysis in Craterstats) 04_Crater_Statistics - .stat files which contain crater size-frequency distribution statistics (obtained from the Craterstats software) 05_Crater_Equilibrium - simplified .stat files which contain cumulative number density information - Python script to fit a power law function to the simplified .stat files 06_Geometric_Saturation_Levels - .stat files which contain crater size-frequency distribution statistics (obtained from the Craterstats software) - Python script to calculate geometric saturation levels from .stat files - .txt files containing geometric satration levels Data by Orgel et al. (2018) are availiable here: http://www.planet.geo.fu-berlin.de/Orgel_etal_2017_Lunar_basins.zip
Data Types:
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  • Software/Code
  • Geospatial Data
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  • Document
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Measured pantograph voltage and current from four different European AC railways covering both 16.7 Hz (Switzerland and Germany) and 50 Hz (Italy and France) systems. Data are organized in short recordings ("snippets") of 5 fundamental cycles of duration; each snippet is tagged with information regarding speed, overall rms current and traction/standstill/braking condition. Data are suitable e.g. for studies on Power Quality and energy consumption.
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