cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7284165
title: Modeling of Creep Behavior of Particulate Composites with Focus on Interfacial Adhesion Effect

description: Evaluation of creep compliance of particulate composites using empirical models always provides parameters depending on initial stress and material composition. The effort spent to connect model parameters with physical properties has not resulted in success yet. Further, during the creep, delamination between matrix and filler may occur depending on time and initial stress, reducing an interface adhesion and load transfer to filler particles. In this paper, the creep compliance curves of glass beads reinforced poly(butylene terephthalate) composites were fitted with Burgers and Findley models providing different sets of time-dependent model parameters for each initial stress. Despite the finding that the Findley model performs well in a primary creep, the Burgers model is more suitable if secondary creep comes into play; they allow only for a qualitative prediction of creep behavior because the interface adhesion and its time dependency is an implicit, hidden parameter. As Young’s modulus is a parameter of these models (and the majority of other creep models), it was selected to be introduced as a filler content-dependent parameter with the help of the <em>cube in cube</em> elementary volume approach of Paul. The analysis led to the time-dependent creep compliance that depends only on the time-dependent creep of the matrix and the normalized particle distance (or the filler volume content), and it allowed accounting for the adhesion effect. Comparison with the experimental data confirmed that the elementary volume-based creep compliance function can be used to predict the realistic creep behavior of particulate composites.
DOI: 10.5281/zenodo.7284164
title: Modeling of Creep Behavior of Particulate Composites with Focus on Interfacial Adhesion Effect

description: Evaluation of creep compliance of particulate composites using empirical models always provides parameters depending on initial stress and material composition. The effort spent to connect model parameters with physical properties has not resulted in success yet. Further, during the creep, delamination between matrix and filler may occur depending on time and initial stress, reducing an interface adhesion and load transfer to filler particles. In this paper, the creep compliance curves of glass beads reinforced poly(butylene terephthalate) composites were fitted with Burgers and Findley models providing different sets of time-dependent model parameters for each initial stress. Despite the finding that the Findley model performs well in a primary creep, the Burgers model is more suitable if secondary creep comes into play; they allow only for a qualitative prediction of creep behavior because the interface adhesion and its time dependency is an implicit, hidden parameter. As Young’s modulus is a parameter of these models (and the majority of other creep models), it was selected to be introduced as a filler content-dependent parameter with the help of the <em>cube in cube</em> elementary volume approach of Paul. The analysis led to the time-dependent creep compliance that depends only on the time-dependent creep of the matrix and the normalized particle distance (or the filler volume content), and it allowed accounting for the adhesion effect. Comparison with the experimental data confirmed that the elementary volume-based creep compliance function can be used to predict the realistic creep behavior of particulate composites.
DOI: 10.6084/m9.figshare.18320363
title: Literature-based dataset of show caves.xlsx

description: Literature-based dataset including the list of show caves and their related information based on papers retrieved with a systematic bibliographic research. It is related to the manuscript entitled "Promoting sustainable use of geoheritage: a literature-based dataset of the ecological status of world show caves" submitted to Nature Conservation journal.
DOI: 10.6084/m9.figshare.18320363.v1
title: Literature-based dataset of show caves.xlsx

description: Literature-based dataset including the list of show caves and their related information based on papers retrieved with a systematic bibliographic research. It is related to the manuscript entitled "Promoting sustainable use of geoheritage: a literature-based dataset of the ecological status of world show caves" submitted to Nature Conservation journal.
DOI: 10.6084/m9.figshare.20374506.v1
title: Supplementary Material for: Effect of First Assistant on Anastomotic Leakage after Rectal Cancer Surgery with Double-Stapling Anastomosis: A Propensity Score Matching Analysis

description: Background: Proper handling and firing of the circular stapler are important for secure anastomosis in rectal cancer surgery. This study aimed to investigate the association between the first assistant and anastomotic leakage (AL) after rectal cancer surgery with double-stapling anastomosis. Methods: Patients with primary rectal cancer who underwent low anterior resection with double-stapling anastomosis between January 2015 and September 2019 were included. Data on clinicopathological characteristics, including the first assistant’s sex and experience level, were retrospectively reviewed, and the risk factors for AL were analyzed using propensity score matching analysis. Results: Among 758 rectal cancer surgeries, residents participated in 401 (52.9%) surgeries and fellows participated in 357 (47.1%) surgeries as first assistants. After propensity score matching (n = 650), AL occurred in 5.4% (35/650). The first assistant’s experience level (resident: 5.5% vs. fellow: 5.2%, p = 0.862) and sex (male: 5.4% vs. female: 4.9%, p = 0.849) were not associated with the occurrence of AL. Male sex in patients was the only significant predictive factor for AL (odds ratio = 2.804, 95% confidence interval 1.070–7.351, p = 0.036). Conclusion: The first assistant’s sex and experience level were not associated with AL after rectal cancer surgery with double-stapling anastomosis. These findings may justify resident participation in rectal cancer surgeries in which circular staplers are used.
DOI: 10.6084/m9.figshare.21501036.v1
title: Supplementary Material for: The Prognostic Value of TP53 Mutations in Adult Acute Myeloid Leukemia: A Meta-Analysis

description: <b><i>Objective:</i></b> Mutations of the tumor protein p53 (TP53) gene were considered to be associated with an unfavorable prognosis in acute myeloid leukemia (AML). This meta-analysis aimed to systematically elucidate the prognostic value of TP53 mutation in adult patients with AML. <b><i>Method:</i></b> A comprehensive literature search was conducted for eligible studies published before August 2021. The primary endpoint was overall survival (OS). Pooled hazard ratios (HRs) and their 95% confidence intervals (CIs) were calculated for prognostic parameters. Subgroup analyses based on intensive treatment were performed. <b><i>Results:</i></b> Thirty-two studies with 7,062 patients were included. As compared to wild-type carriers, AML patients with TP53 mutations had significantly shorter OS (HR: 2.40, 95% CI: 2.16–2.67, <i>I</i><sup>2</sup>: 46.6%). Similar results were found in DFS (HR: 2.87, 95% CI: 1.88–4.38), EFS (HR: 2.56, 95% CI: 1.97–3.31), and RFS (HR: 2.40, 95% CI: 1.79–3.22). Mutant TP53 predicted inferior OS (HR: 2.77, 95% CI: 2.41–3.18) in the intensively treated AML subgroup, compared with the non-intensively treated group (HR: 1.89, 95% CI: 1.58–2.26). Among intensively-treated AML patients, the age of 65 did not affect the prognostic value of TP53 mutations. Besides, TP53 mutation was also strongly associated with an elevated risk of adverse cytogenetics, which conferred a dismal OS in AML patients (HR: 2.03, 95% CI: 1.74–2.37). <b><i>Conclusion:</i></b> TP53 mutation exhibits a promising potential for discriminating AML patients with a worse prognosis, thus being capable of serving as a novel tool for prognostication and therapeutic decision-making in the management of AML.
DOI: 10.6084/m9.figshare.21220277.v1
title: Supplementary Material for: Should CKD EPI equation be used for estimation of glomerular filtration rate in obese subjects?

description: Introduction: Pandemic of obesity is strongly related to increase of chronic kidney disease (CKD) prevalence. Currently recommended CKD EPI equation has several serious limitations particularly in obese subjects who have high body surface area (BSA). The aim of our study was to analyze differences in the prevalence of CKD between CKD EPI and de-indexed equations where individual BSA was used. Methods: In total of 2058 subjects (random sample from general rural population, 29.65% obese) BSA was estimated using Dubois&Dubois and Moesteller equations and included into the de-indexed equations (CKD Di, CKD Mi). CKD was classified according to the KDIGO guidelines and glomerular hyperfiltration (GHF) was defined as 95th percentile according the gender and age decade. Results: In obese subjects, prevalence of CKD was significantly higher with CKD EPI than with CKD Di and CKD Mi equations (9.5%, 6.1%, 5.3%, respectively; p&lt;0.001), while prevalence of GHF was significantly lower (3.8%, 12.3%, 12.8%, respectively; p&lt;0.001). Opposite results were observed in subjects with BMI&lt;25 kg/m2 for CKD (5%, 7.1%, 7.2%; p=0.07) and GHF prevalence (6.1%, 1%, 0.6%; p&lt;0.001). Discussion/Conclusions: The prevalence of CKD is overestimated, and the prevalence of GHF is under-estimated in obese subjects using CKD EPI equation, i.e. CKD EPI equation is unreliable in one third of population. De-indexed equations should be recommended instead of CKD EPI equation in epidemiological studies until directly measurement of GFR become more available.
DOI: 10.6084/m9.figshare.21176215.v1
title: Supplementary Material for: Inhibition of Phosphoinositide 3-Kinase Gamma protects endothelial cells via the Akt signaling pathway in sepsis-induced acute kidney injury

description: Introduction: Sepsis is a primary cause of death in critically ill patients and characterized by multiple organ dysfunction, including sepsis-induced acute kidney injury (AKI), which contributes to high mortality in sepsis. However, its pathophysiological mechanisms remain unclear. The kidney has one of the richest and most diversified endothelial cell populations in the body. This study was designed to investigate the effects of endothelial dysfunction in sepsis-induced AKI and explore possible intervention measures to offer new insight for the pathogenesis and treatment of sepsis-induced AKI. Methods: The circulating levels of endothelial adhesion molecules were detected in patients with sepsis and healthy controls, to observe the role of endothelial damage in sepsis and sepsis-induced AKI. A murine sepsis model induced by cecal ligation and perforation was pretreated with a phosphoinositide 3-kinase gamma (PI3Kγ) inhibitor (CZC24832), and survival, kidney damage and renal endothelial injury were assessed by pathological examination, immunohistochemistry (IHC), quantitative polymerase chain reaction and Western blotting. Lipopolysaccharides and CZC24832 were administered to human umbilical vein endothelial cells in vitro, and endothelial cell function and the expression of adhesion molecules were evaluated. Results: Endothelial damage was more serious in sepsis-induced AKI than that in non-AKI, and the inhibition of PI3Kγ alleviates renal endothelial injury in a murine sepsis model, protecting endothelial cell function, and repairing endothelial cell injury through the Akt signaling pathway. Conclusions: In this study, endothelial cell dysfunction plays an important role in sepsis-induced AKI, and the inhibition of PI3Kγ alleviates endothelial cell injury in sepsis-induced AKI through the PI3Kγ/Akt pathway, providing novel targets for treating sepsis and related kidney injury.
DOI: 10.11588/data/klfdvf/wdmor9
title: Daten Publikation.tab

description: :unav
DOI: 10.11588/data/klfdvf
title: Application of concentration and 2-dimensional stable isotope measurements of methane to constrain sources and sinks in a seasonally stratified freshwater lake [data]

description: Methane (CH4) emissions from aquatic systems have recently been comprised to account for up to 50 % of global CH4 emissions, with lakes representing one of the largest CH4 source within this pool. However, there is large uncertainty associated with CH4 emissions from freshwater environments to the atmosphere, because of a lack of understanding in the spatial and temporal dynamics of CH4 sources and sinks, as well as underlying mechanisms and processes. In this study, we investigated the concentrations and stable carbon (δ13C-CH4) and hydrogen (δ2H-CH4) isotope composition of CH4 in a small eutrophic lake with seasonal stratification and its spatial and temporal variation. We found that while supersaturation of CH4 in the entire water column was present throughout the whole year, the isotopic composition of CH4 in sediment and water column varied depending on lake stratification, physiochemical conditions, and lake depth. During the stratification period, isotopic characteristics of pelagic surface water CH4 differed from littoral and sedimentary CH4, suggesting likely mixing of CH4 from different sources including vertical and later input as well as groundwater input and potentially oxic methane production in the mixed surface water layer. Aerobic CH4 oxidation indicated by a strong increase in both ẟ13C-CH4 and ẟ2H-CH4 values at the bottom of the oxycline was found to significantly reduce upward migrating CH4 released at the sediment-water interface. In the sediment, stable isotope characteristics of CH4 showed an increasing dominance of the acetoclastic CH4 formation pathway from the pelagic towards the littoral area. Furthermore, the occurrence of sulfate-dependent anaerobic methane oxidation in the sediment was suggested by an increase in ẟ13C-CH4 and ẟ2H-CH4 values. During the mixing period, the isotopic CH4 composition of the water column was distinctively less negative than during the stratification period potentially resulting from a greater impact of groundwater CH4 input compared to the stratification period. Our findings implicate that the application of concentrations and dual isotope measurements of CH4 is a promising approach for constraining CH4 sinks and sources in lakes and to disentangle the complex CH4 dynamics in lakes both spatially and seasonally.
DOI: 10.5281/zenodo.7244155
title: Privacy-Enhancing Technology and Everyday Augmented Reality: Understanding Bystanders' Varying Needs for Awareness and Consent

description: This data is for our ACM IMWUT 2022 paper "Privacy-Enhancing Technology and Everyday Augmented Reality: Understanding Bystanders' Varying Needs for Awareness and Consent". See the README for more details.
DOI: 10.6084/m9.figshare.21501075
title: Data for A method of carbon dioxide mineralization---.xlsx

description: It a data of Co2 concentration and the CaCo3 deposition.
DOI: 10.6084/m9.figshare.21498255.v1
title: data

description: Synthesized speech perception test data.
DOI: 10.34808/xg3x-fm59
title: UAV spectrometer reflectance and leaf area index for vegetation near Gdynia, Poland

description: Reflectance data from the UAV flights with UV-VIS spectrometer along with leaf area index measurements for vegetaion near Gdynia, Poland.
Two measurement campaigns:1. 19-07-2019 (July)2. 20-09-2019 (September)
For each measurement campaign, the following shapefiles (.shp) are provided:1. month-flight_altitude.shp (e.g. september-20m.shp)This file contains dimensionless surface reflectance in the 320-667nm spectrum. The column name represent a wavelength in nanometers with a "w" prefix.2. month-lai.shp (e.g. july-lai.shp)This file contains the dimensionless leaf area index measurements.The file contains only the LAI column.
For each measurement campaign a .tif file representing an interpolated surface reflectance,i.e. the reflectance image is provided. Only one image is provided per measurement campaign,because we wanted to present only the best images from each date here. One can interpolate any other image from the shapefiles.Names of the .tif files: month-flight_altitude-bandwidth.tifThe tif files contain 8 bands with dimensionless reflectance: band - central wavelength    1 - 340 nm    2 - 380 nm    3 - 420 nm    4 - 460 nm    5 - 500 nm    6 - 540 nm    7 - 580 nm    8 - 620 nm
Each file is projected in EPSG:2180 geographical coordinate system.
DOI: 10.6084/m9.figshare.21498255.v2
title: data

description: Synthesized speech perception test data.
DOI: 10.5517/ccdc.csd.cc24brfp
title: CCDC 1976542: Experimental Crystal Structure Determination

description: Related Article: Khodayar Gholivand, Mohammad Faraghi, Azam Barzegari, Nasrin Fallah, Michal Dusek, Vaclav Eigner|2022|Journal of Analytical and Applied Pyrolysis|165|105568|doi:10.1016/j.jaap.2022.105568
description: Related Article: Khodayar Gholivand, Mohammad Faraghi, Nasrin Fallah, Abouzar Babaei, Foroogh Pirastehfar, Michal Dusek, Vaclav Eigner, Fatemeh Salimi|2022|Bioorg.Chem.|129|106123|doi:10.1016/j.bioorg.2022.106123
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cb3tn
title: CCDC 2184471: Experimental Crystal Structure Determination

description: Related Article: Ruixue Li, Xiaoxia Kong, Jianping Dong, Kaiyi Li, Tiantian Wan, Huilu Wu|2023|Inorg.Chim.Acta|544|121208|doi:10.1016/j.ica.2022.121208
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cb3vp
title: CCDC 2184472: Experimental Crystal Structure Determination

description: Related Article: Ruixue Li, Xiaoxia Kong, Jianping Dong, Kaiyi Li, Tiantian Wan, Huilu Wu|2023|Inorg.Chim.Acta|544|121208|doi:10.1016/j.ica.2022.121208
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2cp36d
title: CCDC 2195023: Experimental Crystal Structure Determination

description: Related Article: Yue Zhou, Huang Xiang, Jing-Yan Zhu, Le Shi, Wen-Jie You, Xiao-Qin Wei, Zhengfang Tian, Dong Shao|2022|Polyhedron|228|116181|doi:10.1016/j.poly.2022.116181
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d0jnm
title: CCDC 2205050: Experimental Crystal Structure Determination

description: Related Article: Weiping Wu, Xuan Wu, Shuaixin Fan, Jin Zhu|2022|Org.Lett.|24|7850|doi:10.1021/acs.orglett.2c03288
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d0jpn
title: CCDC 2205051: Experimental Crystal Structure Determination

description: Related Article: Weiping Wu, Xuan Wu, Shuaixin Fan, Jin Zhu|2022|Org.Lett.|24|7850|doi:10.1021/acs.orglett.2c03288
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d626x
title: CCDC 2210368: Experimental Crystal Structure Determination

description: Related Article: Johannes Gramüller, Maximilian Franta, Ruth M. Gschwind|2022|J.Am.Chem.Soc.|144|19861|doi:10.1021/jacs.2c07563
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.21500472
title: The mechanism research of ING3 inhibited the proliferation of breast cancer

description: This is all the data in this article, including the data downloaded from the TCGA and the data of my own experiments ，such as Western blot，CCK8,immunofluorescence,cell apoptosis，flow cytometry，PCR.
DOI: 10.6084/m9.figshare.21500472.v1
title: The mechanism research of ING3 inhibited the proliferation of breast cancer

description: This is all the data in this article, including the data downloaded from the TCGA and the data of my own experiments ，such as Western blot，CCK8,immunofluorescence,cell apoptosis，flow cytometry，PCR.
DOI: 10.6084/m9.figshare.15170256
title: Dataset for: Soulsbury & Humphries: Biophysical determinants of sperm swimming velocity

description: Raw data for Soulsbury & Humphries. It includes data for sperm morphology analysis and sperm velocity data and sperm structure data.
DOI: 10.6084/m9.figshare.15170256.v1
title: Dataset for: Soulsbury & Humphries: Biophysical determinants of sperm swimming velocity

description: Raw data for Soulsbury & Humphries. It includes data for sperm morphology analysis and sperm velocity data and sperm structure data.
DOI: 10.6084/m9.figshare.21501294
title: Additional file 2 of Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

description: Additional file 2: Supplementary File S1.
DOI: 10.6084/m9.figshare.21501294.v1
title: Additional file 2 of Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

description: Additional file 2: Supplementary File S1.
DOI: 10.6084/m9.figshare.21501297
title: Additional file 3 of Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

description: Additional file 3: Supplementary File S2.
DOI: 10.6084/m9.figshare.21501297.v1
title: Additional file 3 of Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

description: Additional file 3: Supplementary File S2.
DOI: 10.6084/m9.figshare.21501300
title: Additional file 4 of Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

description: Additional file 4: Supplementary File S3.
DOI: 10.6084/m9.figshare.21501300.v1
title: Additional file 4 of Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

description: Additional file 4: Supplementary File S3.
DOI: 10.6084/m9.figshare.21501303
title: Additional file 5 of Towards a potential pan-cancer prognostic signature for gene expression based on probesets and ensemble machine learning

description: Additional file 5: Supplementary File S4.