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150 results for “Use of Force”
Changes Monitoring in Hongjiannao Lake from 1987-2023 using Google Earth Engine and Analysis of Climatic and Anthropogenic Forces (Climatic Data)
<p>This dataset presents temporal (1987 to 2023) climatic data for the weather station near Hongjiannao Lake.</p>
Addressing Observational Gaps in Aerosol Parameters using Machine Learning: Implications to Aerosol Radiative Forcing
<p>This dataset represents Aerosol Optical Depth (AOD), Single Scattering Albedo (SSA), and Absorption Parameter (AP) data over Kanpur, India, sourced from AERONET with initial data gaps of approximately 37%, 62%, and 58% respectively. To reduce these gaps, XGBoost, a machine learning model trained with reanalysis and satellite datasets, was employed with optimized hyperparameter tuning. Using AERONET data for training, XGBoost effectively addressed gaps, improving AOD by 10%, SSA by 23%, and AP by 21%.</p>
Dealing with discontinuous meteorological forcing in operational ocean modelling: a case study using ECMWF-IFS and GETM (v2.5)
<p>Data used in manuscript "Dealing with discontinuous meteorological forcing in operational ocean modelling: a case study using ECMWF-IFS and GETM (v2.5)" for Geoscientific Model Development. </p> <p>Uploaded data includes GETM output and used source code (FABM+GOTM+GETM).</p>
Lagrangian drifter output in the Southeast Indian Ocean using the Connectivity Modelling System output forced with TROPAC01
<p>This dataset contains Lagrangian drifter trajectories from the Connectivity Modelling System (CMS) in the Southeast Indian Ocean. CMS was forced with ocean velocity fields from TROPAC01 and this experiment was focused on sources of the Leeuwin Current. TROPAC01 is a high-resolution ocean general circulation model, developed by the European Drakkar cooperation [Barnier et al., 2007] it is based on the NEMO [v3.2 Madec, 2008] code. Specifically, it is a 1/10 horizontal resolution model of the tropical Indo- Pacific region (spanning the area from 73°E - 63°W to 49°S - 31°N), nested within a half-degree global ocean/ sea-ice model. More information on the model configuration used for this experiment can be found in [van Sebille et al., 2014]. Using the velocity fields from TROPAC01 we then use the Connectivity Modelling System (CMS) v1.1 [Paris et al., 2013] to integrate the virtual particles in three-dimensional time-evolving flow.</p> <p>Version v1.0 of this dataset includes ascii raw model output of CMS trajectories and the forcing file (seed file) that enables a user to calculate absolute time of a particle's location. Variables are: particle_number, time, longitude, latitude, depth, exit_code.</p> <p>These experiments were executed by Christopher Bull of the ARC Centre of Excellence for Climate System Science (ARCCSS) research program "Mechanisms and attribution of past and future ocean circulation change", as part of Christopher's PhD candidature.</p> <p> </p> <p>References:</p> <p> Code and documentation for the CMS is available at:</p> <p> https://github.com/beatrixparis/connectivity-modeling-system</p> <p>Claire B. Paris, Judith Helgers, Erik van Sebille, Ashwanth Srinivasan, 2013.<br> Connectivity Modeling System: A probabilistic modeling tool for the multi-scale tracking of biotic and abiotic variability in the ocean,<br> Environmental Modelling & Software, Volume 42, 2013, Pages 47-54, ISSN 1364-8152, https://doi.org/10.1016/j.envsoft.2012.12.006.</p> <p>van Sebille, E., Sprintall, J., Schwarzkopf, F. U., Gupta, A. S., Santoso, A., England, M. H., Biastoch, A., and Böning, C. W. (2014), Pacific-to-Indian Ocean connectivity: Tasman leakage, Indonesian Throughflow, and the role of ENSO, <em>J. Geophys. Res. Oceans</em>, 119, 1365– 1382, doi:<a href="https://doi.org/10.1002/2013JC009525">10.1002/2013JC009525</a>.</p>
DPPC lipid bilayer simulation with CHARMM36-LJPME force field using OpenMM
<p>DPPC lipid bilayer simulation (300 ns) with CHARMM36-LJPME force field using OpenMM at 323K.</p> <p>Used in <a href="http://doi.org/10.1021/acs.jctc.1c00951">https://doi.org/10.1021/acs.jctc.1c00951</a></p> <p>The force field parameters were downloaded from <a href="https://terpconnect.umd.edu/%7Ejbklauda/ff.html">https://terpconnect.umd.edu/%7Ejbklauda/ff.html</a>.</p> <p><a href="https://zenodo.org/api/files/1e89f677-91a8-472d-aebb-144fddd58d23/trajCORRECT1-2.dcd?versionId=5317fd88-6b98-4905-b171-53c1cd199cfe">trajCORRECT1-2.dcd </a>has incorrect timestamps. traj1-2.xtc has correct timestamps.<br> </p>
FAFMIP forcing datasets used in MOM5 1-degree simulations
<p>FAFMIP surface flux perturbations datasets (see http://www.fafmip.org/; <a href="http://www.geosci-model-dev.net/9/3993/2016">Gregory <em>et al.</em>, 2016</a>) interpolated on the MOM5 1-degree grid. Data are climatological monthly means in the netCDF format. The data variables in these files are dimensioned (longitude,latitude,time) in Fortran order, (time,latitude,longitude) in CDL. The time dimension has size 12, for months from January to December.</p>
Nanoscale chemical characterization of secondary protein structure of F-Actin using mid-infrared photoinduced force microscopy (PiF-IR)
<p>Raw data for manuscript for special issue in Spectrochimica Acta related to ECSBM 2022</p> <p> </p>
Comparative evaluation of the forces produced by tongue on circummaxillary sutures in skeletal Class III malocclusion with maxillary hypoplasia using tongue crib with that of facemask therapy - A FEM study
<p>Data sheet showing stimulation result</p>
OpenMM simulations of DLPC using the CHARMM Drude2023 force field
<p>The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from<br> each of 3 replicate simulations from the paper</p> <p><br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203</p> <p><br> DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file<br> Each file has 50 ns of data, with coordinate sets spaced at 10 ps between frames.</p>
OpenMM simulations of POPE using the CHARMM Drude2023 force field
<p><br> The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from<br> each of 3 replicate simulations from the paper</p> <p><br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203</p> <p><br> DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.</p>
OpenMM simulations of DMPC using the CHARMM Drude2023 force field
<p>The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from<br> each of 3 replicate simulations from the paper</p> <p><br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203</p> <p>DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file Each file has 50 ns of data, with coordinate sets spaced at 10 ps between frames.</p>
OpenMM simulations of DPPC using the CHARMM Drude2023 force field
<p>The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from<br> each of 3 replicate simulations from the paper</p> <p><br> <strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203</p> <p><br> DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.</p>
OpenMM simulations of POPC using the CHARMM Drude2023 force field
<p>PSF, single CRD file, and DCD format trajectories for the final 200 ns of triplicate POPC simulations, from the publication</p> <p><strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion: Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*</p> <p> https://doi.org/10.1021/acs.jctc.3c00203</p> <p>DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.</p> <p> </p>
OpenMM simulations of DOPC using the CHARMM Drude2023 force field
<p>The dataset contains a PSF, a formatted coordinate file (CRD), and DCD files with the final 200 ns from each of 3 replicate simulations from the paper</p> <p><strong>Drude Polarizable Lipid Force Field with Explicit Treatment of LongRange Dispersion:<br> Parametrization and Validation for Saturated and Monounsaturated Zwitterionic Lipids</strong><br> Yalun Yu, Richard M. Venable, Jonathan Thirman, Payal Chatterjee, Anmol Kumar, Richard W. Pastor,*<br> Benoît Roux,* Alexander D. MacKerell, Jr.,* and Jeffery B. Klauda*<br> https://doi.org/10.1021/acs.jctc.3c00203</p> <p><br> DCD file names indicate the lipid, replica number, and the time point of the final coordinate set in the file; each file has frames spaced at 10 ps over a 50 ns interval.</p>
3D-Imaging and Quantitative Subsurface Dielectric Constant Measurement Using Peak Force Kelvin Probe Force Microscopy
<p>We demonstrate a new approach to simultaneously measure the dielectric constants of buried structures and interfaces by combining peak force tapping quantitative Nano-mechanical mapping (PF QNM) and frequency-modulated Kelvin probe force microscopy (FM-KPFM). The developed method paves the way for 3D-imaging of dielectric constants of composite materials and heterostructures.</p>
Pulmonary Function Using Non-invasive Forced Oscillometry
ClinicalTrials.gov study NCT03346343. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation Of Marginal Bone Height Changes And Biting Force In Screw Retained Implant Prostheses Using Reinforced Resin Vs Monolithic Zirconium
ClinicalTrials.gov study NCT07007572. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Assessment of Chiropractic Treatment Using Reaction and Response Times in Members of the Special Operation Forces (ACT2)
ClinicalTrials.gov study NCT02168153. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Force and Pressure Distribution Using Macintosh and GlideScope Laryngoscopes in Normal Airway: an in Vivo Study
ClinicalTrials.gov study NCT01685320. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data from: Decipher soil organic carbon dynamics and driving forces across China using machine learning
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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.