cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1308259
title: Materials Data on Li2Mn(Si2O5)2 by Materials Project

description: Li2Mn(Si2O5)2 crystallizes in the orthorhombic P2_12_12_1 space group. The structure is three-dimensional. there are two inequivalent Li1+ sites. In the first Li1+ site, Li1+ is bonded in a 2-coordinate geometry to three O2- atoms. There are two shorter (1.93 Å) and one longer (2.64 Å) Li–O bond lengths. In the second Li1+ site, Li1+ is bonded in a 2-coordinate geometry to four O2- atoms. There are a spread of Li–O bond distances ranging from 1.95–2.80 Å. Mn2+ is bonded to four O2- atoms to form MnO4 trigonal pyramids that share corners with four SiO4 tetrahedra. There are a spread of Mn–O bond distances ranging from 2.05–2.10 Å. There are four inequivalent Si4+ sites. In the first Si4+ site, Si4+ is bonded to four O2- atoms to form SiO4 tetrahedra that share corners with three SiO4 tetrahedra and a cornercorner with one MnO4 trigonal pyramid. There are a spread of Si–O bond distances ranging from 1.62–1.67 Å. In the second Si4+ site, Si4+ is bonded to four O2- atoms to form SiO4 tetrahedra that share corners with three SiO4 tetrahedra and a cornercorner with one MnO4 trigonal pyramid. There are a spread of Si–O bond distances ranging from 1.61–1.65 Å. In the third Si4+ site, Si4+ is bonded to four O2- atoms to form SiO4 tetrahedra that share corners with three SiO4 tetrahedra and a cornercorner with one MnO4 trigonal pyramid. There are a spread of Si–O bond distances ranging from 1.61–1.66 Å. In the fourth Si4+ site, Si4+ is bonded to four O2- atoms to form SiO4 tetrahedra that share corners with three SiO4 tetrahedra and a cornercorner with one MnO4 trigonal pyramid. There are a spread of Si–O bond distances ranging from 1.61–1.65 Å. There are ten inequivalent O2- sites. In the first O2- site, O2- is bonded in a bent 120 degrees geometry to two Si4+ atoms. In the second O2- site, O2- is bonded in a bent 150 degrees geometry to two Si4+ atoms. In the third O2- site, O2- is bonded in a distorted trigonal planar geometry to one Li1+, one Mn2+, and one Si4+ atom. In the fourth O2- site, O2- is bonded in a 3-coordinate geometry to two equivalent Li1+, one Mn2+, and one Si4+ atom. In the fifth O2- site, O2- is bonded in a bent 150 degrees geometry to two Si4+ atoms. In the sixth O2- site, O2- is bonded in a trigonal planar geometry to one Li1+, one Mn2+, and one Si4+ atom. In the seventh O2- site, O2- is bonded in a bent 150 degrees geometry to two Si4+ atoms. In the eighth O2- site, O2- is bonded in a distorted bent 150 degrees geometry to one Li1+ and two Si4+ atoms. In the ninth O2- site, O2- is bonded in a 4-coordinate geometry to two Li1+, one Mn2+, and one Si4+ atom. In the tenth O2- site, O2- is bonded in a bent 150 degrees geometry to two Si4+ atoms.
DOI: 10.17188/1308260
title: Materials Data on Li2Ti2NiO6 by Materials Project

description: Li2Ti2NiO6 crystallizes in the orthorhombic Cmce space group. The structure is three-dimensional. Li1+ is bonded in a distorted rectangular see-saw-like geometry to four equivalent O2- atoms. There are two shorter (2.01 Å) and two longer (2.09 Å) Li–O bond lengths. Ti4+ is bonded to six O2- atoms to form TiO6 octahedra that share edges with three equivalent TiO6 octahedra and edges with three equivalent NiO6 octahedra. There are a spread of Ti–O bond distances ranging from 1.94–2.02 Å. Ni2+ is bonded to six O2- atoms to form NiO6 octahedra that share edges with six equivalent TiO6 octahedra. There are two shorter (2.04 Å) and four longer (2.17 Å) Ni–O bond lengths. There are two inequivalent O2- sites. In the first O2- site, O2- is bonded to two equivalent Li1+, two equivalent Ti4+, and one Ni2+ atom to form a mixture of distorted edge and corner-sharing OLi2Ti2Ni trigonal bipyramids. In the second O2- site, O2- is bonded in a 3-coordinate geometry to two equivalent Ti4+ and one Ni2+ atom.
DOI: 10.17188/1308261
title: Materials Data on Li2MnVP2(HO5)2 by Materials Project

description: Li2VMnP2(HO5)2 crystallizes in the triclinic P-1 space group. The structure is three-dimensional. Li1+ is bonded to five O2- atoms to form distorted LiO5 square pyramids that share corners with two equivalent VO6 octahedra, corners with two equivalent PO4 tetrahedra, edges with two equivalent MnO6 octahedra, an edgeedge with one LiO5 square pyramid, and an edgeedge with one PO4 tetrahedra. The corner-sharing octahedra tilt angles range from 53–62°. There are a spread of Li–O bond distances ranging from 2.01–2.15 Å. V4+ is bonded to six O2- atoms to form VO6 octahedra that share corners with two equivalent MnO6 octahedra, corners with four equivalent LiO5 square pyramids, and corners with four equivalent PO4 tetrahedra. The corner-sharing octahedral tilt angles are 52°. There are a spread of V–O bond distances ranging from 2.02–2.10 Å. Mn2+ is bonded to six O2- atoms to form MnO6 octahedra that share corners with two equivalent VO6 octahedra, corners with four equivalent PO4 tetrahedra, and edges with four equivalent LiO5 square pyramids. The corner-sharing octahedral tilt angles are 52°. There are a spread of Mn–O bond distances ranging from 1.98–2.20 Å. P5+ is bonded to four O2- atoms to form PO4 tetrahedra that share corners with two equivalent VO6 octahedra, corners with two equivalent MnO6 octahedra, corners with two equivalent LiO5 square pyramids, and an edgeedge with one LiO5 square pyramid. The corner-sharing octahedra tilt angles range from 38–56°. There are a spread of P–O bond distances ranging from 1.54–1.56 Å. H1+ is bonded in a single-bond geometry to one O2- atom. The H–O bond length is 0.99 Å. There are five inequivalent O2- sites. In the first O2- site, O2- is bonded in a distorted single-bond geometry to one Li1+, one V4+, one Mn2+, and one H1+ atom. In the second O2- site, O2- is bonded in a distorted bent 150 degrees geometry to one V4+ and one P5+ atom. In the third O2- site, O2- is bonded in a 3-coordinate geometry to one Li1+, one V4+, and one P5+ atom. In the fourth O2- site, O2- is bonded in a distorted T-shaped geometry to one Li1+, one Mn2+, and one P5+ atom. In the fifth O2- site, O2- is bonded in a rectangular see-saw-like geometry to two equivalent Li1+, one Mn2+, and one P5+ atom.
DOI: 10.17188/1308262
title: Materials Data on LiMn3P3O11 (SG:14) by Materials Project

description: Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations
DOI: 10.21227/wqs8-aj56
title: rbfslingmodecrane

description: 针对固有参数不确定和部分未知参数的桥式起重机系统在起重作业过程中的负载摆动和小车跟踪定位问题，提出了一种基于RBF神经网络的动态滑模鲁棒控制算法。闭环误差的李雅普诺夫稳定性通过控制算法在理论上得到了验证。控制算法以滑模控制思想为结构框架。滑模面设计考虑了控制输出变化的影响，通过设置模糊规则使滑模切换项自适应，并进一步推导了RBF神经网络的自适应规律，以适应桥式起重机系统中复杂和未知的动态部件， 渲染桥式起重机系统的运行，无需任何系统参数作为信号输入。为了证明该策略影响下更高的控制精度，与文献中提出的分层滑模控制方法进行了比较[27]，结果表明，基于上述算法设计的控制器输出功率更加稳定，且不存在长期高频抖动， 虽然其对负载的抗摆动控制效果也比任何其他控制器具有更好的鲁棒性能。指出当系统参数发生一定程度的变化时，也非常重要。同时基于该控制系统的小车也可以在零过冲下实现稳定的跟踪和定位。
DOI: 10.5281/zenodo.7716223
title: Datensatz: Ferientage und Feriendichte in Deutschland 2016–2023

description: Datensatz zu DOI: 10.5281/zenodo.7716194
description: Co-funded by Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz (DE), FKZ 67KI21005
DOI: 10.5281/zenodo.7716224
title: Datensatz: Ferientage und Feriendichte in Deutschland 2016–2023

description: Datensatz zu DOI: 10.5281/zenodo.7716194
description: Co-funded by Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz (DE), FKZ 67KI21005
DOI: 10.5281/zenodo.7716281
title: Datensatz: Ferientage und Feriendichte in Deutschland 2016–2023

description: Datensatz zu DOI: 10.5281/zenodo.7716194
description: Co-funded by Bundesministerium für Umwelt, Naturschutz, nukleare Sicherheit und Verbraucherschutz (DE), FKZ 67KI21005
DOI: 10.6084/m9.figshare.22684024.v5
title: Bedding-perpendicular joints

description: J<strong>oint spacing；</strong> <strong>Interface morphology</strong>
DOI: 10.6084/m9.figshare.22684024
title: Bedding-perpendicular joint development and interface morphology data from the Ordos Basin

description: J<strong>oint spacing；Joint strikes;</strong> <strong>Interface morphology</strong>
DOI: 10.6084/m9.figshare.22684024.v6
title: Bedding-perpendicular joint development and interface morphology from the Ordos Basin

description: J<strong>oint spacing；Joint strikes;</strong> <strong>Interface morphology</strong>
DOI: 10.6084/m9.figshare.22684024.v7
title: Bedding-perpendicular joint development and interface morphology data from the Ordos Basin

description: J<strong>oint spacing；Joint strikes;</strong> <strong>Interface morphology</strong>
DOI: 10.6084/m9.figshare.22573933.v1
title: Protein Stabilization of ITF2 by NF-κB Prevents Colitis-associated Cancer Development

description: ITF2 mRNA expression levels were compared between healthy samples and patients with UC or CD in various datasets.
DOI: 10.6084/m9.figshare.22573933
title: Protein Stabilization of ITF2 by NF-κB Prevents Colitis-associated Cancer Development

description: ITF2 mRNA expression levels were compared between healthy samples and patients with UC or CD in various datasets.
DOI: 10.5445/ir/1000146477
title: Failing Parametrizations: Julia and Matlab Code

description: This code contains all implementations to produce the results for the following manuscript: A. K. Stoychev, U. J. Römer, "Failing Parametrizations: What can go Wrong when Approximating Spectral Submanifolds", Nonlinear Dynamics 111, 5963-6000 (2023), doi: 10.1007/s11071-022-08154-3 Refer to the file "Code_Failing_Parametrizations_final.zip" for all files and a readme. A preliminary version of the code that was prepared for the preprint with the same title is also available.
DOI: 10.4121/7a5cb19f-cbfe-4b05-a6a8-758f4be16b1b
title: Data underlying the research of Awareness of FH among physicians in northern regions of Saudi Arabia

description: Cross sectional study conducted to assessing awareness of physicians regarding Familial hypercholesterolemia (FH) in northern regions of Saudi Arabia.
DOI: 10.4121/7a5cb19f-cbfe-4b05-a6a8-758f4be16b1b.v3
title: Data underlying the research of Awareness of FH among physicians in northern regions of Saudi Arabia

description: Cross sectional study conducted to assessing awareness of physicians regarding Familial hypercholesterolemia (FH) in northern regions of Saudi Arabia.
DOI: 10.6084/m9.figshare.22698253
title: TRANSCRIPTION OF C3 HPE.docx

description: Interview transcripts of the esports high-performance project
DOI: 10.6084/m9.figshare.22698253.v1
title: TRANSCRIPTION OF C3 HPE.docx

description: Interview transcripts of the esports high-performance project
DOI: 10.5281/zenodo.7866174
title: Global-mean results of short-term PPE simulations using GAMIL3

description: Short-term perturbed-parameter-ensemble simulations are conducted using the Grid‐point Atmospheric Model of the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences (CAS) version 3, i.e., GAMIL3. A total of 256 parameter sets are generated using the quasi-Monte Carlo (QMC) sampling method. Each parameter set corresponds to a PPE member that consists of 12 two-month simulations initialized at 00UTC on the 1st day of each month of a model year. The uploaded dataset includes files related to parameter information and global-mean results of the PPE simulations.
DOI: 10.5281/zenodo.7866173
title: Global-mean results of short-term PPE simulations using GAMIL3

description: Short-term perturbed-parameter-ensemble simulations are conducted using the Grid‐point Atmospheric Model of the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciences (CAS) version 3, i.e., GAMIL3. A total of 256 parameter sets are generated using the quasi-Monte Carlo (QMC) sampling method. Each parameter set corresponds to a PPE member that consists of 12 two-month simulations initialized at 00UTC on the 1st day of each month of a model year. The uploaded dataset includes files related to parameter information and global-mean results of the PPE simulations.
DOI: 10.6084/m9.figshare.22661543
title: SI_data.zip from Computational infrared and Raman spectra by hybrid QM/MM techniques: a study on molecular and catalytic material systems

description: Data archive containing raw vibrational mode data
DOI: 10.6084/m9.figshare.22661543.v1
title: SI_data.zip from Computational infrared and Raman spectra by hybrid QM/MM techniques: a study on molecular and catalytic material systems

description: Data archive containing raw vibrational mode data
DOI: 10.5281/zenodo.7820353
title: Assessment of Temporomandibular Joint for Occurrence and Severity of Disorders in Adult Cases with Unilateral Cleft Lip and Palate and Non-Cleft Class I Using Helkimo Index

description: master charts
DOI: 10.5281/zenodo.7820354
title: Assessment of Temporomandibular Joint for Occurrence and Severity of Disorders in Adult Cases with Unilateral Cleft Lip and Palate and Non-Cleft Class I Using Helkimo Index

description: master charts
DOI: 10.5517/ccdc.csd.cc2dyl76
title: CCDC 2232968: Experimental Crystal Structure Determination

description: Related Article: Ruicheng Wang, Dehua Hu, Longjiang Xing, Ziquan Lu, Yihong Zhu, Zhichao Mao, Wen-cheng Chen, Yanping Huo, Shaomin Ji|2023|Dyes Pigm.|215|111276|doi:10.1016/j.dyepig.2023.111276
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.cc2dyl87
title: CCDC 2232969: Experimental Crystal Structure Determination

description: Related Article: Ruicheng Wang, Dehua Hu, Longjiang Xing, Ziquan Lu, Yihong Zhu, Zhichao Mao, Wen-cheng Chen, Yanping Huo, Shaomin Ji|2023|Dyes Pigm.|215|111276|doi:10.1016/j.dyepig.2023.111276
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.22698181.v1
title: SCISP.1.CCFs.tar.gz

description: This project contains the datasets needed to produce the radially anisotropic crustal shear-wave velocity model in a manuscript submited for publicaiton with Journal of Geophysicsl Research - Solid Earth. <br> The tar.gz file has the following files: <br> T-T.CCFs: Love wave cross-correlation functions (CCFs) Z-Z.CCFs: Rayleigh wave CCFs readme readme stns.txt station coordinates <br> Each of the T-T.CCFs and Z-Z.CCFs folders contains the final stacked CCFs between all available station pairs, e.g., COR_S003_S005.SAC COR_S003_S007.SAC ... ... <br> The CCF file name show the names of station pairs (e.g., S003, S005, S007). <br> With these cross-functions, following a standard ambient noise inversion procedure, i.e., measuring surface wave dispersion for both Rayleigh and Love waves, developing dispersion models for both waves, and appying a joint inverting, the radial anisotropic crustal shear wave model presented in our study can be reproduced. For details of the method, readers are referred to the following papers: Bodin, T., and M. Sambridge (2009), Seismic tomography with the reversible jump algorithm, <em>Geophysical Journal International</em>, <em>178</em>(3), 1411-1436, doi:10.1111/j.1365-246X.2009.04226.x. <br> Yuan, H., and T. Bodin (2018), A probabilistic shear wave velocity model of the crust in the central West Australian Craton constrained by transdimensional inversion of ambient noise dispersion, <em>Tectonics</em>, <em>37</em>(7), 1994-2012. <br> <br> <br> The two datasets are the only data needed to produce the model in our study.
DOI: 10.6084/m9.figshare.22698376
title: Supplementary Material for: Methods and software to analyze gene-environment interactions under a case-mother - control-mother design with partially missing child genotype

description: Introduction: The case-mother - control-mother design allows to study fetal and maternal genetic factors together with environmental exposures on early-life outcomes. Mendelian constraints and conditional independence between child genotype and environmental factors enabled semiparametric likelihood methods to estimate logistic models with greater efficiency than standard logistic regression. Difficulties in child genotype collection require methods handling missing child genotype. Methods: We review a stratified retrospective likelihood and two semiparametric likelihood approaches: a prospective one and a modified retrospective one, the latter either modeling the maternal genotype as a function of covariates or leaving their joint distribution unspecified (robust version). We also review software implementing these modelling alternatives, compare their statistical properties in a simulation study, and illustrate their application, focusing on gene-environment interactions and partially missing child genotype. Results; The robust retrospective likelihood provides generally unbiased estimates, with standard errors only slightly larger than when modelling maternal genotype based on exposure. The prospective likelihood encounters maximization problems. In the application to the association of small-for-gestational-age babies with CYP2E1 and drinking water disinfection by-products, the retrospective likelihood allowed a full array of covariates, while the prospective likelihood was limited to few covariates. Conclusion: We recommend the robust version of the modified retrospective likelihood.
DOI: 10.6084/m9.figshare.22698376.v1
title: Supplementary Material for: Methods and software to analyze gene-environment interactions under a case-mother - control-mother design with partially missing child genotype

description: Introduction: The case-mother - control-mother design allows to study fetal and maternal genetic factors together with environmental exposures on early-life outcomes. Mendelian constraints and conditional independence between child genotype and environmental factors enabled semiparametric likelihood methods to estimate logistic models with greater efficiency than standard logistic regression. Difficulties in child genotype collection require methods handling missing child genotype. Methods: We review a stratified retrospective likelihood and two semiparametric likelihood approaches: a prospective one and a modified retrospective one, the latter either modeling the maternal genotype as a function of covariates or leaving their joint distribution unspecified (robust version). We also review software implementing these modelling alternatives, compare their statistical properties in a simulation study, and illustrate their application, focusing on gene-environment interactions and partially missing child genotype. Results; The robust retrospective likelihood provides generally unbiased estimates, with standard errors only slightly larger than when modelling maternal genotype based on exposure. The prospective likelihood encounters maximization problems. In the application to the association of small-for-gestational-age babies with CYP2E1 and drinking water disinfection by-products, the retrospective likelihood allowed a full array of covariates, while the prospective likelihood was limited to few covariates. Conclusion: We recommend the robust version of the modified retrospective likelihood.
DOI: 10.6084/m9.figshare.22698181
title: Datasets for "Continental fragments in the South China Block – constraints from crustal radial anisotropy"

description: This project contains the datasets needed to produce the radially anisotropic crustal shear-wave velocity model in a manuscript submited for publicaiton with Journal of Geophysicsl Research - Solid Earth. <br> The tar.gz file has the following files: <br> T-T.CCFs: Love wave cross-correlation functions (CCFs) Z-Z.CCFs: Rayleigh wave CCFs readme readme stns.txt station coordinates <br> Each of the T-T.CCFs and Z-Z.CCFs folders contains the final stacked CCFs in SAC format between all available station pairs, e.g., COR_S003_S005.SAC COR_S003_S007.SAC ... ... <br> The CCF file name show the names of station pairs (e.g., S003, S005, S007). <br> With these cross-functions, following a standard ambient noise inversion procedure, i.e., measuring surface wave dispersion for both Rayleigh and Love waves, developing dispersion models for both waves, and appying a joint inverting, the radial anisotropic crustal shear wave model presented in our study can be reproduced. For details of the method, readers are referred to the following papers: Bodin, T., and M. Sambridge (2009), Seismic tomography with the reversible jump algorithm, <em>Geophysical Journal International</em>, <em>178</em>(3), 1411-1436, doi:10.1111/j.1365-246X.2009.04226.x. <br> Yuan, H., and T. Bodin (2018), A probabilistic shear wave velocity model of the crust in the central West Australian Craton constrained by transdimensional inversion of ambient noise dispersion, <em>Tectonics</em>, <em>37</em>(7), 1994-2012. <br> <br> <br> The two datasets are the only data needed to produce the model in our study.
DOI: 10.6084/m9.figshare.22698181.v2
title: Datasets for "Continental fragments in the South China Block – constraints from crustal radial anisotropy"

description: This project contains the datasets needed to produce the radially anisotropic crustal shear-wave velocity model in a manuscript submited for publicaiton with Journal of Geophysicsl Research - Solid Earth. <br> The tar.gz file has the following files: <br> T-T.CCFs: Love wave cross-correlation functions (CCFs) Z-Z.CCFs: Rayleigh wave CCFs readme readme stns.txt station coordinates <br> Each of the T-T.CCFs and Z-Z.CCFs folders contains the final stacked CCFs between all available station pairs, e.g., COR_S003_S005.SAC COR_S003_S007.SAC ... ... <br> The CCF file name show the names of station pairs (e.g., S003, S005, S007). <br> With these cross-functions, following a standard ambient noise inversion procedure, i.e., measuring surface wave dispersion for both Rayleigh and Love waves, developing dispersion models for both waves, and appying a joint inverting, the radial anisotropic crustal shear wave model presented in our study can be reproduced. For details of the method, readers are referred to the following papers: Bodin, T., and M. Sambridge (2009), Seismic tomography with the reversible jump algorithm, <em>Geophysical Journal International</em>, <em>178</em>(3), 1411-1436, doi:10.1111/j.1365-246X.2009.04226.x. <br> Yuan, H., and T. Bodin (2018), A probabilistic shear wave velocity model of the crust in the central West Australian Craton constrained by transdimensional inversion of ambient noise dispersion, <em>Tectonics</em>, <em>37</em>(7), 1994-2012. <br> <br> <br> The two datasets are the only data needed to produce the model in our study.
DOI: 10.5281/zenodo.7866274
title: Data for Coupling Covariance Matrix Adaptation with Continuum Modeling for Determination of Kinetic Parameters Associated with Electrochemical CO2 Reduction

description: This data set contains digitized and tagged polarization and partial current density data for 18 datasets of CO<sub>2</sub> reduction to H<sub>2</sub> and CO over Ag catalysts, as well as 8 datasets of CO<sub>2</sub> reduction to HCOO<sup>-</sup>, CO, and H<sub>2</sub> over Sn catalysts. We analyze this data using a coupled continuum modeling and covariance matrix adaptation approach for which the codebase is provided in DOI: 10.5281/zenodo.7866195.