cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4270673
title: Detection and Estimation of Inundation and Associated Risks Using Traffic and Monitoring Cameras and Image Processing Under Extreme Flooding Conditions

description: The main objective of this project is to develop an inundation detection and evaluation framework using images from traffic monitoring cameras and reliable flood monitoring under extreme precipitation conditions. This study presents a comparative assessment of image enhancement and segmentation techniques to automatically identify the flash flooding from the low-resolution images taken by traffic-monitoring cameras. Due to inaccurate equipment in severe weather conditions (e.g., raindrops or light refraction on camera lenses), low-resolution images are subject to noises that degrade the quality of information. De-noising procedures are carried out for the enhancement of images by removing different types of noises. After the de-noising, image segmentation is implemented to detect the inundation from the images automatically. In addition, the detection of the inundation using the image segmentation with and without de-noising techniques are compared. The results indicate that among de-noising methods, the Bayes shrink with the thresholding discrete wavelet transform shows the most reliable result. For the image segmentation, the Bayesian segmentation is superior to the others. The results demonstrate that the proposed image enhancement and segmentation methods can be effectively used to identify the inundation from low-resolution images taken in severe weather conditions. A new Bayesian filtering method will be devised and applied to estimate the inundation from low-resolution images that will allow traffic engineers to take preventive or proactive actions to improve the safety of drivers and protect and preserve the transportation infrastructure. This new observation with improved accuracy will enhance our understanding of dynamic urban flooding by filling an information gap in the locations where conventional observations have limitations.
DOI: 10.5281/zenodo.4270672
title: Detection and Estimation of Inundation and Associated Risks Using Traffic and Monitoring Cameras and Image Processing Under Extreme Flooding Conditions

description: The main objective of this project is to develop an inundation detection and evaluation framework using images from traffic monitoring cameras and reliable flood monitoring under extreme precipitation conditions. This study presents a comparative assessment of image enhancement and segmentation techniques to automatically identify the flash flooding from the low-resolution images taken by traffic-monitoring cameras. Due to inaccurate equipment in severe weather conditions (e.g., raindrops or light refraction on camera lenses), low-resolution images are subject to noises that degrade the quality of information. De-noising procedures are carried out for the enhancement of images by removing different types of noises. After the de-noising, image segmentation is implemented to detect the inundation from the images automatically. In addition, the detection of the inundation using the image segmentation with and without de-noising techniques are compared. The results indicate that among de-noising methods, the Bayes shrink with the thresholding discrete wavelet transform shows the most reliable result. For the image segmentation, the Bayesian segmentation is superior to the others. The results demonstrate that the proposed image enhancement and segmentation methods can be effectively used to identify the inundation from low-resolution images taken in severe weather conditions. A new Bayesian filtering method will be devised and applied to estimate the inundation from low-resolution images that will allow traffic engineers to take preventive or proactive actions to improve the safety of drivers and protect and preserve the transportation infrastructure. This new observation with improved accuracy will enhance our understanding of dynamic urban flooding by filling an information gap in the locations where conventional observations have limitations.
DOI: 10.6084/m9.figshare.13270916
title: A real-time approach to diagnose the rice leaf disease using deep learning-based faster R-CNN framework

description: Here three types of rice leaf data have been stored.
DOI: 10.5517/ccdc.csd.cc244qlm
title: CCDC 1970750: Experimental Crystal Structure Determination

description: Related Article: Yao Huang|2019|CSD Communication|||
DOI: 10.5281/zenodo.3956524
title: Dataset for Supersaturation in the Wake of a Precipitating Hydrometeor and its Impact on Aerosol Activation

description: ******************Dataset Details****************** 1. Article Title: Supersaturation in the Wake of a Precipitating Hydrometeor and its Impact on Aerosol Activation<br> 2. Journal: Geophysical Research Letters, 47(22), e2020GL091179, https://doi.org/10.1029/2020GL091179, 2020<br> 3. Name and contact information:<br> Eberhard Bodenschatz,<br> Laboratory for Fluid Physics, Pattern Formation and Biocomplexity,<br> Max Planck Institute for Dynamics and Self-Organization,<br> Am Faßberg 17,<br> 37077 Göttingen, Germany<br> 4. Email: eberhard.bodenschatz@ds.mpg.de 5. Funding: This research was funded by the Marie - Sk lodowska Curie Actions (MSCA) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 675675), and an extension to programme COMPLETE by Department of Applied Science and Technology, Politecnico di Torino. 6. Abstract: The activation of aerosols impacts the life cycle of a cloud. A detailed understanding is necessary for reliable climate prediction. Recent laboratory experiments demonstrate that aerosols can be activated in the wake of precipitating hydrometeors. However, many quantitative aspects of this wake‐induced activation of aerosols remain unclear. Here, we report a detailed numerical investigation of the activation potential of wake‐induced supersaturation. By Lagrangian tracking of aerosols, we show that a significant fraction of aerosols are activated in the supersaturated wake. These “lucky aerosols” are entrained in the wake's vortices and reside in the supersaturated environment sufficiently long to be activated. Our analyses show that this wake‐induced activation of aerosols can contribute to the life cycle of the clouds. ******************Dataset Organization****************** 1. Datasets are organized in folders which correspond to Figures in the Letter or in the Supporting Information (e.g., Figure 1 or Figure S2).<br> 2. Details of the entries can be found in the header of each dataset.<br> 3. Details of the simulation setup can be found in the text of each Figure. ******************Software Details****************** 1. Open-source LBM library Palabos (Latt et al., 2020). Link: https://palabos.unige.ch/<br> 2. Data visualization is achieved using open-source library ParaView version 5.7 and Gnuplot Version 5.2.
DOI: 10.5281/zenodo.3956523
title: Dataset for Supersaturation in the Wake of a Precipitating Hydrometeor and its Impact on Aerosol Activation

description: ******************Dataset Details****************** 1. Article Title: Supersaturation in the Wake of a Precipitating Hydrometeor and its Impact on Aerosol Activation<br> 2. Journal: Geophysical Research Letters, 47(22), e2020GL091179, https://doi.org/10.1029/2020GL091179, 2020<br> 3. Name and contact information:<br> Eberhard Bodenschatz,<br> Laboratory for Fluid Physics, Pattern Formation and Biocomplexity,<br> Max Planck Institute for Dynamics and Self-Organization,<br> Am Faßberg 17,<br> 37077 Göttingen, Germany<br> 4. Email: eberhard.bodenschatz@ds.mpg.de 5. Funding: This research was funded by the Marie - Sk lodowska Curie Actions (MSCA) under the European Union’s Horizon 2020 research and innovation programme (grant agreement no. 675675), and an extension to programme COMPLETE by Department of Applied Science and Technology, Politecnico di Torino. 6. Abstract: The activation of aerosols impacts the life cycle of a cloud. A detailed understanding is necessary for reliable climate prediction. Recent laboratory experiments demonstrate that aerosols can be activated in the wake of precipitating hydrometeors. However, many quantitative aspects of this wake‐induced activation of aerosols remain unclear. Here, we report a detailed numerical investigation of the activation potential of wake‐induced supersaturation. By Lagrangian tracking of aerosols, we show that a significant fraction of aerosols are activated in the supersaturated wake. These “lucky aerosols” are entrained in the wake's vortices and reside in the supersaturated environment sufficiently long to be activated. Our analyses show that this wake‐induced activation of aerosols can contribute to the life cycle of the clouds. ******************Dataset Organization****************** 1. Datasets are organized in folders which correspond to Figures in the Letter or in the Supporting Information (e.g., Figure 1 or Figure S2).<br> 2. Details of the entries can be found in the header of each dataset.<br> 3. Details of the simulation setup can be found in the text of each Figure. ******************Software Details****************** 1. Open-source LBM library Palabos (Latt et al., 2020). Link: https://palabos.unige.ch/<br> 2. Data visualization is achieved using open-source library ParaView version 5.7 and Gnuplot Version 5.2.
DOI: 10.6084/m9.figshare.13185410.v1
title: CNRDv1.0

description: The quality-controlled gridded naturalized runoff dataset, the China natural runoff dataset version 1.0 (CNRD v1.0), is reconstructed by using a comprehensive model parameter uncertainty analysis framework within a land-surface model. CNRD v1.0 provides daily, monthly and annual 0.25° runoff estimates for the period 1961–2018 over China. CNRD v1.0 was generated using the Variable Infiltration Capacity model with a comprehensive parameter uncertainty analysis framework incorporating parameter sensitivity analysis, optimization and regionalization based on 200 natural or near-natural gauge catchments.<br>Global attributes:<br><br>Variables = Total runoff (qtot)<br>Data Types = Histrorical reconstruction<br>Date format = NetCDF4Temporal Range = 1961-01-01 to 2018-12-31<br>Spatial extent = 18.6250° N ~53.6250° N, 73.375° E ~135.1250° EUnits = mmMissing value = -9999<br>_FillValue = -9999<br>Publications:<br><br>1. Gou, J. J., Miao, C. Y., Duan, Q. Y., Tang, Q. H., Di, Z. H., Liao, W. H., Wu, J. W., & Zhou, R. (2020). Sensitivity analysis-based automatic parameter calibration of the variable infiltration capacity (VIC) model for streamflow simulations over China. Water Resources Research, 56, https://doi.org/10.1029/2019wr025968;<br>2. Gou, J. J., Miao, C. Y., Samaniego, L., Xiao, M., Wu, J. W. & Guo, X. Y. (2020). CNRD v1.0: a high-quality natural runoff dataset for hydrological and climate studies in China. Bulletin of the American Meteorological Society (Under Review).<br>
DOI: 10.5286/isis.e.rb2010631
title: How does oxidative damage change peptide membrane insertion?

description: The insertion of peptides and proteins into cell membranes is crucial for the functioning of cells. Cells are continually subject to oxidation events. In this continuation experiment we will use neutron reflection to investigate how oxidative damage changes the interaction of the well-studied model peptide melittin with cell membrane models. In our previous work we observed changes in the membrane structure when oxidised lipids were present in the membrane, in this experiment we wish to extract more detailed structural information by using a deuterated form of the oxidized lipid, not previously available, that will allow us to clearly differentiate between the lipid and peptide components. The results will help us understand better the factors that influence the interaction of different peptides with cell membranes, and how that interaction is changed by oxidative damage.
DOI: 10.5286/isis.e.rb2010631-1
title: How does oxidative damage change peptide membrane insertion?

description: The insertion of peptides and proteins into cell membranes is crucial for the functioning of cells. Cells are continually subject to oxidation events. In this continuation experiment we will use neutron reflection to investigate how oxidative damage changes the interaction of the well-studied model peptide melittin with cell membrane models. In our previous work we observed changes in the membrane structure when oxidised lipids were present in the membrane, in this experiment we wish to extract more detailed structural information by using a deuterated form of the oxidized lipid, not previously available, that will allow us to clearly differentiate between the lipid and peptide components. The results will help us understand better the factors that influence the interaction of different peptides with cell membranes, and how that interaction is changed by oxidative damage.
DOI: 10.5286/isis.e.rb2010417
title: Transport of water in soft confinement

description: The project aims at establishing a new model to describe water transport in soft porous materials which accounts for coupling between adsorption, deformation and transport. In contrary to water transport in condensed matter, soft materials present much more complex processes and a complete picture of transport is lacking. We therefore propose to investigate the coupling between water transport and mechanical stress in polymers with intrinsic microporosity (PIM) under relevant conditions of mechanical stress and of a hydraulic pressure, responsible for transport. Structural deformations of the polymer and of its microporosity (pore dimension &lt; 2 nm) in these conditions will be investigated on NIMROD. We request for this experiment 3 days on NIMROD.
DOI: 10.5286/isis.e.rb2010417-1
title: Transport of water in soft confinement

description: The project aims at establishing a new model to describe water transport in soft porous materials which accounts for coupling between adsorption, deformation and transport. In contrary to water transport in condensed matter, soft materials present much more complex processes and a complete picture of transport is lacking. We therefore propose to investigate the coupling between water transport and mechanical stress in polymers with intrinsic microporosity (PIM) under relevant conditions of mechanical stress and of a hydraulic pressure, responsible for transport. Structural deformations of the polymer and of its microporosity (pore dimension &lt; 2 nm) in these conditions will be investigated on NIMROD. We request for this experiment 3 days on NIMROD.
DOI: 10.5286/isis.e.rb2010391
title: Neutron diffraction characterization of strain/stress field of 316L Stainless Steel « walls » made with Wire + Arc Additive Manufacturing te

description: The studied 316L SS samples were obtained with successive deposition of molten metallic wire using electrical arc generated with a welding process : Gas Metal Arc Welding (GMAW). Such process is called Wire + Arc Additive Manufacturing.The main goal is to measure the residual strain field into the base plate (BP) and overlaid deposits (so the sample). Another objective is to observe the effect of a new deposit on the residual stress field induced by the previous one. These data will help validating the thermo-mechanical simulation and the material behavior law (PhD project of Camille CAMBON Oct.2017 to Sept. 2020). Secondly, we expect to observe a change in the residual stresses of the part when the operating conditions are modified (welding intensity, welding speed, cooling time …) by characterizing two samples built with 2 sets of process parameters (with 5 deposits).
DOI: 10.5286/isis.e.rb2010391-1
title: Neutron diffraction characterization of strain/stress field of 316L Stainless Steel « walls » made with Wire + Arc Additive Manufacturing te

description: The studied 316L SS samples were obtained with successive deposition of molten metallic wire using electrical arc generated with a welding process : Gas Metal Arc Welding (GMAW). Such process is called Wire + Arc Additive Manufacturing.The main goal is to measure the residual strain field into the base plate (BP) and overlaid deposits (so the sample). Another objective is to observe the effect of a new deposit on the residual stress field induced by the previous one. These data will help validating the thermo-mechanical simulation and the material behavior law (PhD project of Camille CAMBON Oct.2017 to Sept. 2020). Secondly, we expect to observe a change in the residual stresses of the part when the operating conditions are modified (welding intensity, welding speed, cooling time …) by characterizing two samples built with 2 sets of process parameters (with 5 deposits).
DOI: 10.21227/952m-zs87
title: Subjective and Objective Quality Assessment of the SoftCast Video Transmission Scheme

description: SoftCast-based linear video coding and transmission (LVCT) schemes have been proposed as a promising alternative to traditional video coding and transmission schemes in wireless environments. Currently, the performance of LVCT schemes is evaluated by means of traditional objective scores such as PSNR or SSIM. Nevertheless, since the compression is performed in a very different way from traditional coding schemes such as HEVC, visual artifacts are also quite different and deserve to be subjectively assessed.In this paper, we propose a subjective quality assessment of SoftCast, pioneer and standard of the LVCT schemes. This study aims to better understand the tradeoffs between the LVCT parameters that can be tuned to improve the quality. These parameters, including different GoP-sizes, Compression Ratios (CR) and Channel Signal-to-Noise Ratio (CSNR), are used to generate a dataset of 85 videos. A Double Stimulus Impairment Scale (DSIS) test is performed on the received videos to assess the perceived quality. Results show that the key characteristic of SoftCast, the linear relation between CSNR and PSNR, is also observed with the Mean-Opinion Scores (MOS), except at high CSNR where the quality saturates. In addition, Bjøntegaard model is used to quantify the trade-offs between CR, GoP-size and CSNR, depending on the intended application. Finally, the performance of objective metrics compared to the obtained MOS is evaluated. Results show that Multi-Scale SSIM (MS-SSIM), SSIM and Video Multimethod Assessment Fusion (VMAF) metrics offer the best correlation with the MOS values.
DOI: 10.21227/z378-vv34
title: Subjective and Objective Quality Assessment of the SoftCast Video Transmission Scheme

description: SoftCast-based linear video coding and transmission (LVCT) schemes have been proposed as a promising alternative to traditional video coding and transmission schemes in wireless environments. Currently, the performance of LVCT schemes is evaluated by means of traditional objective scores such as PSNR or SSIM. Nevertheless, since the compression is performed in a very different way from traditional coding schemes such as HEVC, visual artifacts are also quite different and deserve to be subjectively assessed.In this paper, we propose a subjective quality assessment of SoftCast, pioneer and standard of the LVCT schemes. This study aims to better understand the tradeoffs between the LVCT parameters that can be tuned to improve the quality. These parameters, including different GoP-sizes, Compression Ratios (CR) and Channel Signal-to-Noise Ratio (CSNR), are used to generate a dataset of 85 videos. A Double Stimulus Impairment Scale (DSIS) test is performed on the received videos to assess the perceived quality. Results show that the key characteristic of SoftCast, the linear relation between CSNR and PSNR, is also observed with the Mean-Opinion Scores (MOS), except at high CSNR where the quality saturates. In addition, Bjøntegaard model is used to quantify the trade-offs between CR, GoP-size and CSNR, depending on the intended application. Finally, the performance of objective metrics compared to the obtained MOS is evaluated. Results show that Multi-Scale SSIM (MS-SSIM), SSIM and Video Multimethod Assessment Fusion (VMAF) metrics offer the best correlation with the MOS values.
DOI: 10.15161/oar.it/73279
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.6084/m9.figshare.13270970
title: Additional files for Object Detection

description: Here, the author has stored the additional file of Object detection.
DOI: 10.5517/ccdc.csd.cc241rxw
title: CCDC 1967908: Experimental Crystal Structure Determination

description: Related Article: Annette Grünwald, Frank W. Heinemann, Dominik Munz|2020|Angew.Chem.,Int.Ed.|59|21088|doi:10.1002/anie.202008350
DOI: 10.5517/ccdc.csd.cc21zxsr
title: CCDC 1906555: Experimental Crystal Structure Determination

description: Related Article: Annette Grünwald, Frank W. Heinemann, Dominik Munz|2020|Angew.Chem.,Int.Ed.|59|21088|doi:10.1002/anie.202008350
DOI: 10.5517/ccdc.csd.cc241ryx
title: CCDC 1967909: Experimental Crystal Structure Determination

description: Related Article: Annette Grünwald, Frank W. Heinemann, Dominik Munz|2020|Angew.Chem.,Int.Ed.|59|21088|doi:10.1002/anie.202008350
DOI: 10.5517/ccdc.csd.cc24kyd2
title: CCDC 1983454: Experimental Crystal Structure Determination

description: Related Article: Tongtong Feng, Yingxiang Ye, Xiao Liu, Hui Cui, Zhiqiang Li, Ying Zhang, Bin Liang, Huanrong Li, Banglin Chen|2020|Angew.Chem.,Int.Ed.|59|21752|doi:10.1002/anie.202009765
DOI: 10.5281/zenodo.4284366
title: Smartphone datasets for Research

description: The dataset of smartphone is downloaded from Kaggle. We do preprocessing and elimination of waste data that is not needed in the research. The dataset is in CSV file.
DOI: 10.5281/zenodo.4284365
title: Smartphone datasets for Research

description: The dataset of smartphone is downloaded from Kaggle. We do preprocessing and elimination of waste data that is not needed in the research. The dataset is in CSV file.
DOI: 10.25345/c5jb66
title: MassIVE MSV000086503 - GNPS the mass spectrum of PT of chenrui
title: This is the mass spectrum data of a plant extract.
DOI: 10.21227/na28-5t44
title: Technical calibrating images for software laser-diffractometric porometry or porosimetry (JEOL, CRIFAL)

description: Sww our next articles.
DOI: 10.21227/pdq7-9q44
title: Technical calibrating images for software laser-diffractometric porometry or porosimetry (JEOL, CRIFAL)

description: Sww our next articles.
DOI: 10.5281/zenodo.3902315
title: Open-Ended Coaxial Cable Measurements in Diesel-Contaminated soil during Bioremediation

description: Complex dielectric permittivity was measured over a broad frequency range (200 MHz to 20 GHz) with Keysight 85070D dielectric probe kit connected to a network analyzer (Keysight N5227A), on a series of 6 soil microcosms contaminated with diesel oil, before and after a process of bioremediation. This technology measures separately the real and the imaginary component of complex dielectric permittivity, which are meaningful properties of soil.
description: {"references": ["Vergnano, A.; Godio, A.; Raffa, C.M.; Chiampo, F.; Tobon Vasquez, J.A.; Vipiana, F. Open-Ended Coaxial Probe Measurements of Complex Dielectric Permittivity in Diesel-Contaminated Soil during Bioremediation. Sensors 2020, 20, 6677."]}