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237 results for “sensitivity analysis”
External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations (Data analysis)
<p>This record contains a docker container image of the data evaluation shown in the publication "External cavity quantum cascade laser vibrational circular dichroism spectroscopy for fast and sensitive analysis of proteins at low concentrations". The evaluations can be accessed by running the container and accessing the contained Jupyter Lab via a browser. The calculations are contained in 'Eval_protein_D2O.ipynb'.</p> <p>To run the container (requires docker):</p> <p>1.download 'd2o_vcd.tar'</p> <p>2. in the command line, execute 'docker load -i d2o_vcd.tar'. This will return something like 'Loaded image: <image_name>' with image_name probably being "drhermann/vcd_d2o_00:trial_03"</p> <p>3. then 'docker run -p 8889:8889 <image_name>' replacing the brackets with the actual name of the image, such as drhermann/vcd_d2o_00:trial_03</p> <p>4.In your command line a link starting in 'http://127.0.0.1:8888/lab?token=...' will appear. Open this link in your browser to access the evaluation.</p>
A critical perspective on uncertainty appraisal and sensitivity analysis in life cycle assessment - supporting material
<p>Publication dataset - A critical perspective on uncertainty appraisal and sensitivity analysis in life cycle assessment (<em>accepted for publication in the Journal of Industrial Ecology</em>).</p>
Input files and data for sensitivity analysis of ParFlow-CLM
<p>This zip file includes all the input files and forcing data for the sensitivity analysis of ParFlow-CLM.</p> <p>The file of "Stettbach_SA" includes all the information for the sensitivity analysis of Stettbach catchment.</p> <p>The file of "high_slope_SA" includes all the information for the sensitivity analysis of high slope effect in section 2.5.1 Topography effects.</p> <p>The file of "low_slope_SA" includes all the information for the sensitivity analysis of low slope effect in section 2.5.1 Topography effects.</p> <p>The file of "Barcelona_SA" includes all the information for the sensitivity analysis of Barcelona in section 2.5.2 Climate effects.</p> <p>The file of "LK_SA" includes all the information for the sensitivity analysis of Lemmenjoke national park in Finland in section 2.5.2 Climate effects.</p> <p>The file of "Stettbach_2020_2021" includes all the information for the runoff comparison between simulation and observation in 2020 and 2021 in section 3.1 (Model performance in Stettbach catchment).</p> <p>The file of "results_process_code" includes all the scripts used for the analysis of this study.</p>
CNN-based Network Application for Petrophysical Parameter Inversion: Sensitivity Analysis of Input-output Parameters and Network Architecture
<p>The uploaded file includes four groups of data. They have original elastic and reservoir parameters data, the k=5 and k=25 (k means the sampling interval in inline and crossline.), and testing dataset.</p>
Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study
<p>Atmospheric chemistry transport models (ACTMs) are widely used to underpin policy decisions associated with the impact of potential changes in emissions on future pollutant concentrations and deposition. It is therefore essential to have a quantitative understanding of the uncertainty in model output arising from uncertainties in the input pollutant emissions. ACTMs incorporate complex and non-linear descriptions of chemical and physical processes which means that interactions and non-linearities in input–output relationships may not be revealed through the local one-at-a-time sensitivity analysis typically used. The aim of this work is to demonstrate a global sensitivity and uncertainty analysis approach for an ACTM, using as an example the FRAME model, which is extensively employed in the UK to generate source-receptor matrices for the UK Integrated Assessment Model and to estimate critical load exceedances. An optimised Latin hypercube sampling design was used to construct model runs within ± 40 % variation range for the UK emissions of SO<sub>2</sub>, NO<sub>x</sub> and NH<sub>3</sub>, from which regression coefficients for each input-output combination and each model grid (>10,000 across the UK) were calculated. Surface concentrations of SO<sub>2</sub>, NO<sub>x</sub> and NH<sub>3</sub> (and of deposition of S and N) were found to be predominantly sensitive to the emissions of the respective pollutant, while sensitivities of secondary species such as HNO<sub>3</sub> and particulate SO<sub>4</sub><sup>2-</sup>, NO<sub>3</sub><sup>-</sup> and NH<sub>4</sub><sup>+</sup> to pollutant emissions were more complex and geographically variable. The uncertainties in model output variables were propagated from the uncertainty ranges reported by the UK National Atmospheric Emissions Inventory for the emissions of SO<sub>2</sub>, NO<sub>x</sub> and NH<sub>3</sub> (± 4 %, ± 10 % and ± 20 % respectively). The uncertainties in the surface concentrations of NH<sub>3</sub> and NO<sub>x</sub> and the depositions of NH<sub>x</sub> and NO<sub>y</sub> were dominated by the uncertainties in emissions of NH<sub>3</sub>, and NO<sub>x</sub> respectively, whilst concentrations of SO<sub>2</sub> and deposition of SO<sub>y</sub> were affected by the uncertainties in both SO<sub>2</sub> and NH<sub>3</sub> emissions. Likewise, the relative uncertainties in the modelled surface concentrations of each of the secondary pollutant variables (NH<sub>4</sub><sup>+</sup>, NO<sub>3</sub><sup>-</sup>, SO<sub>4</sub><sup>2-</sup> and HNO<sub>3</sub>) were due to uncertainties in at least two input variables. In all cases the spatial distribution of relative uncertainty was found to be geographically heterogeneous. The global methods used here can be applied to conduct sensitivity and uncertainty analyses of other ACTMs.</p> <p>The dataset contains model outputs used for the sensitivity and uncertainty analyses.</p>
Fig. 2 in Repeatability Analysis Of Egg Shape In A Wild Tree Sparrow (Passer Montanus) Population: A Sensitive Method For Egg Shape Description
Fig. 2. Data collecting method results in 22 co-ordinates of each eggs
Fig. 1 in Repeatability Analysis Of Egg Shape In A Wild Tree Sparrow (Passer Montanus) Population: A Sensitive Method For Egg Shape Description
Fig. 1. Differently shaped eggs characterised with the same egg shape index (ES = 0.7)
Inputs for 2D HEC-RAS model for sensitivity analysis of DEM and mesh grid resolutions over part of the Virginia Tech StREAM Lab
<p>Inputs into a 2D HEC-RAS model used in the article written by Elizabeth M. Prior, Nathan Michaelson, Jonathan A. Czuba, Thomas J. Pingel, Valerie A. Thomas, and W. Cully Hession titled "Lidar DEM and computational mesh grid resolutions modify roughness in 2D hydrodynamic models".</p>
Input and output datasets for the testing of joint inversion code(s) and sensitivity analysis.
<p>Dataset associated to the paper: "Sensitivity of constrained joint inversions to geological and petrophysical input data uncertainties with posterior geological analysis" by Giraud J., Ogarko V., Pakyuz-Charrier E., Jessell M., Lindsay M., and Martin R. <br><br>This paper is under review for publication in Geophysical Journal International. The complete reference will be updated upon publication.</p><p>This dataset comprises:<br>- petrophysical model (x3)<br>- reference models for density contrast and magnetic susceptibility <br>- density contrast and magnetic susceptibility starting models (x3)<br>- inverted density contrast and magnetic susceptibility models (x3)<br>- three probabilistic geological models (x3)</p>
BackFlow: Backward Context-sensitive Flow Reconstruction of Taint Analysis Results
<p>This archive contains the details of the experimental results reported in the VMCAI 2020 paper, and instruction on how to reproduce these results.</p>
Paper: "Sensitivity analysis for linear changes of the constraint matrix of a linear program" output
<p>Output generated from the experiments in the paper "Sensitivity analysis for linear changes of the constraint matrix of a linear program"</p>
FIG. 2 in Direct optimization, sensitivity analysis, and the evolution of the hymenopteran superfamilies
FIG. 2. (continued).
Data from: Sensitivity analysis of collision risk at wind turbines based on flight altitude of migratory waterbirds
<p>This dataset contains information on the distribution of geese and swans and the three-dimensional flight trajectories. The former was obtained through vehicle field surveys, interviews, and a literature review. The latter was obtained using ornithodolites.</p>
Increased impact sensitivity in ageing high explosives: Analysis of Amatol extracted from explosive remnants of war
<p>Millions of tonnes of explosive remnants of war remain in nature, and the volume is continuously growing. The explosive legacy of wars represents an increasing threat to the environment and to societal safety and security. As munitions continue to deteriorate, harmful constituents will eventually leak into the environment, poisoning ecological receptors and contaminating the surrounding soil and groundwater. Deteriorating munitions may also become increasingly sensitive to external stimuli and may be susceptible to accidental detonation. To thoroughly assess how to address these ageing munitions, we must first establish certain threshold values for the safe and secure handling and final disposal of the explosive ordnance. One key factor is to establish how the impact sensitivity of the explosives evolves over time. In the present work, we investigated the high explosive substance Amatol extracted from ageing explosive remnants of war. The results obtained in the analysis indicate that the high explosives in the examined specimens generally were much more sensitive to impact than previously assumed. Furthermore, the analysis revealed that the standardised methodology of impact sensitivity testing was insufficient for estimating the sensitivities in question, and a more careful statistical analysis was required.</p>
Sensitivity of PDL-1-analysis From Pleural Effusion in Non-small Cell Lung Cancer
ClinicalTrials.gov study NCT02855281. IPD Sharing: NO. Countries: 1. Publications: 1.
Data from: Sensitivity analysis of collision risk at wind turbines based on flight altitude of migratory waterbirds
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Sensitivity analysis of the maximum entropy production method to model evaporation in boreal and temperate forests
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Data for: Spatial-temporal analysis of natural hazards and disasters in the Greater Horn of Africa between 2010 and 2024 to inform disaster risk reduction, and surveillance and control strategies for climate and environmentally sensitive diseases
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Results of quantitative genetic sensitivity analysis performed on reconstructed pedigrees based on large-scale genealogies
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Increased impact sensitivity in ageing high explosives: Analysis of Amatol extracted from explosive remnants of war
Open the record for dataset details and reuse information.
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Allen Brain Atlas
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DANDI Archive for NWB datasets
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International Brain Laboratory public data
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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.