cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7785321
title: Dataset for the paper High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing

description: Information regarding the Dataset, corresponding to the paper: “Thakur, M., Cai, N., Zhang, M. et al. High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing. npj 2D Mater Appl 7, 11 (2023). https://doi.org/10.1038/s41699-023-00373-5” This folder contains the raw data and complete package of codes used to analyze, view, save, and plot data for the publication titled "High durability and stability of 2D nanofluidic devices for long-term single-molecule sensing". The code folder, "OpenNanopore-nanopore-tools", can be used to plot raw data which corresponds to the figures in the paper and supplementary information.
DOI: 10.34740/kaggle/dsv/5662756
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.6980232
title: Valgarður: A Database of the Petrophysical, Mineralogical, and Chemical Properties of Icelandic Rocks

description: The <em>Valgarður </em>database is a compilation of data describing the physical and geochemical properties of Icelandic rocks. The dataset comprises 1072 samples obtained from fossil and active geothermal systems, as well as relatively fresh volcanic rocks erupted in sub-aerial or sub-aqueous environments. The database includes petrophysical properties (effective and total porosity, grain density, permeability, electrical resistivity, acoustic velocities), as well as mineralogical and geochemical data obtained by point-counting, X-ray Fluorescence (XRF), quantitative X-ray Diffraction (XRD), and Cation Exchange Capacity (CEC) analyses. The motivation behind this database is threefold: (i) aid in the interpretation of geophysical data including uncertainty estimations, (ii) facilitate the parameterization of numerical reservoir models, and (iii) improve our understanding of the relationship between rock type, hydrothermal alteration and petrophysical properties.
description: This dataset also includes a zipped archive containing photographs of many of the sample sites. The filenames corresponding to the different sample sites are listed in the worksheet 'Photographs of sample sites' in the Excel workbook and in the csv file photographs_samplesites.csv. SWS and CC received funding from the Technical Development Fund of the Research Center of Iceland (RANNÍS, grant number 175 193-0612 Data Fusion for Geothermal Reservoir Characterization). This project additionally received funding from Landsvirkjun Energy Research Fund (grant number NÝR-23-2019)
DOI: 10.5281/zenodo.6980231
title: Valgarður: A Database of the Petrophysical, Mineralogical, and Chemical Properties of Icelandic Rocks

description: PLEASE NOTE: There was an issue with some of the total porosity data in a previous version of the database (the decimal place was shifted). Please use this version of the database. Please contact samuelwarrenscott--at--gmail.com if there are any questions. The <em>Valgarður </em>database is a compilation of data describing the physical and geochemical properties of Icelandic rocks. The dataset comprises 1072 samples obtained from fossil and active geothermal systems, as well as relatively fresh volcanic rocks erupted in sub-aerial or sub-aqueous environments. The database includes petrophysical properties (effective and total porosity, grain density, permeability, electrical resistivity, acoustic velocities), as well as mineralogical and geochemical data obtained by point-counting, X-ray Fluorescence (XRF), quantitative X-ray Diffraction (XRD), and Cation Exchange Capacity (CEC) analyses. The motivation behind this database is threefold: (i) aid in the interpretation of geophysical data including uncertainty estimations, (ii) facilitate the parameterization of numerical reservoir models, and (iii) improve our understanding of the relationship between rock type, hydrothermal alteration and petrophysical properties.
description: This dataset also includes a zipped archive containing photographs of many of the sample sites. The filenames corresponding to the different sample sites are listed in the worksheet 'Photographs of sample sites' in the Excel workbook and in the csv file photographs_samplesites.csv. SWS and CC received funding from the Technical Development Fund of the Research Center of Iceland (RANNÍS, grant number 175 193-0612 Data Fusion for Geothermal Reservoir Characterization). This project additionally received funding from Landsvirkjun Energy Research Fund (grant number NÝR-23-2019)
DOI: 10.5281/zenodo.7144976
title: Valgarður: A Database of the Petrophysical, Mineralogical, and Chemical Properties of Icelandic Rocks

description: The <em>Valgarður </em>database is a compilation of data describing the physical and geochemical properties of Icelandic rocks. The dataset comprises 1072 samples obtained from fossil and active geothermal systems, as well as relatively fresh volcanic rocks erupted in sub-aerial or sub-aqueous environments. The database includes petrophysical properties (effective and total porosity, grain density, permeability, electrical resistivity, acoustic velocities), as well as mineralogical and geochemical data obtained by point-counting, X-ray Fluorescence (XRF), quantitative X-ray Diffraction (XRD), and Cation Exchange Capacity (CEC) analyses. The motivation behind this database is threefold: (i) aid in the interpretation of geophysical data including uncertainty estimations, (ii) facilitate the parameterization of numerical reservoir models, and (iii) improve our understanding of the relationship between rock type, hydrothermal alteration and petrophysical properties.
description: This dataset also includes a zipped archive containing photographs of many of the sample sites. The filenames corresponding to the different sample sites are listed in the worksheet 'Photographs of sample sites' in the Excel workbook and in the csv file photographs_samplesites.csv. SWS and CC received funding from the Technical Development Fund of the Research Center of Iceland (RANNÍS, grant number 175 193-0612 Data Fusion for Geothermal Reservoir Characterization). This project additionally received funding from Landsvirkjun Energy Research Fund (grant number NÝR-23-2019)
DOI: 10.5281/zenodo.7148582
title: Valgarður: A Database of the Petrophysical, Mineralogical, and Chemical Properties of Icelandic Rocks

description: The <em>Valgarður </em>database is a compilation of data describing the physical and geochemical properties of Icelandic rocks. The dataset comprises 1072 samples obtained from fossil and active geothermal systems, as well as relatively fresh volcanic rocks erupted in sub-aerial or sub-aqueous environments. The database includes petrophysical properties (effective and total porosity, grain density, permeability, electrical resistivity, acoustic velocities), as well as mineralogical and geochemical data obtained by point-counting, X-ray Fluorescence (XRF), quantitative X-ray Diffraction (XRD), and Cation Exchange Capacity (CEC) analyses. The motivation behind this database is threefold: (i) aid in the interpretation of geophysical data including uncertainty estimations, (ii) facilitate the parameterization of numerical reservoir models, and (iii) improve our understanding of the relationship between rock type, hydrothermal alteration and petrophysical properties.
description: This dataset also includes a zipped archive containing photographs of many of the sample sites. The filenames corresponding to the different sample sites are listed in the worksheet 'Photographs of sample sites' in the Excel workbook and in the csv file photographs_samplesites.csv. SWS and CC received funding from the Technical Development Fund of the Research Center of Iceland (RANNÍS, grant number 175 193-0612 Data Fusion for Geothermal Reservoir Characterization). This project additionally received funding from Landsvirkjun Energy Research Fund (grant number NÝR-23-2019)
DOI: 10.5281/zenodo.7924330
title: Valgarður: A Database of the Petrophysical, Mineralogical, and Chemical Properties of Icelandic Rocks

description: PLEASE NOTE: There was an issue with some of the total porosity data in a previous version of the database (the decimal place was shifted). Please use this version of the database. Please contact samuelwarrenscott--at--gmail.com if there are any questions. The <em>Valgarður </em>database is a compilation of data describing the physical and geochemical properties of Icelandic rocks. The dataset comprises 1072 samples obtained from fossil and active geothermal systems, as well as relatively fresh volcanic rocks erupted in sub-aerial or sub-aqueous environments. The database includes petrophysical properties (effective and total porosity, grain density, permeability, electrical resistivity, acoustic velocities), as well as mineralogical and geochemical data obtained by point-counting, X-ray Fluorescence (XRF), quantitative X-ray Diffraction (XRD), and Cation Exchange Capacity (CEC) analyses. The motivation behind this database is threefold: (i) aid in the interpretation of geophysical data including uncertainty estimations, (ii) facilitate the parameterization of numerical reservoir models, and (iii) improve our understanding of the relationship between rock type, hydrothermal alteration and petrophysical properties.
description: This dataset also includes a zipped archive containing photographs of many of the sample sites. The filenames corresponding to the different sample sites are listed in the worksheet 'Photographs of sample sites' in the Excel workbook and in the csv file photographs_samplesites.csv. SWS and CC received funding from the Technical Development Fund of the Research Center of Iceland (RANNÍS, grant number 175 193-0612 Data Fusion for Geothermal Reservoir Characterization). This project additionally received funding from Landsvirkjun Energy Research Fund (grant number NÝR-23-2019)
DOI: 10.6084/m9.figshare.21780425.v1
title: Paths from Aerosol Particles to Activation and Cloud Droplets in Shallow Cumulus Clouds: The Roles of Entrainment and Supersaturation Fluctuation

description: These data are obtained by using PALM (https://palm.muk.uni-hannover.de/trac), the large eddy simulation. The simulation is designed to produce a shallow cumulus field following Siebesma et al. (2003). <br> The simulations are performed with 3 different initial aerosol concentrations (C = 200, 500, and 2000 cm-3). <br> NetCDF data contains profiles for all simulations with 15 s time intervals with various outputs. <br> Particle Tracking data contains unsorted and sorted timeseries of various variables obtained by tracking 100 randomly selected particles. Analysis code is also included which provides the explanation about the variables in the ASCII data.
DOI: 10.5281/zenodo.3691893
title: A zero to four parameter instationary thermal-block-type benchmark model for parametric model order reduction

description: We specify a new benchmark for parametric model order reduction that is scalable both in degrees of<br> freedom as well as parameter dimension.
description: If you are simply interested in the system matrices, download the ABCE.mat. If you want to make sure to use the same grid, we recommend to download the cookie.msh (output of gmsh), in addition to the code package . We have observed very different numbers of degrees of freedom with varying gmsh versions.
DOI: 10.5281/zenodo.3691894
title: A zero to four parameter instationary thermal-block-type benchmark model for parametric model order reduction

description: We specify a new benchmark for parametric model order reduction that is scalable both in degrees of<br> freedom as well as parameter dimension.
description: If you are simply interested in the system matrices, download the ABCE.mat. If you want to make sure to use the same grid, we recommend to download the cookie.msh (output of gmsh), in addition to the code package . We have observed very different numbers of degrees of freedom with varying gmsh versions.
DOI: 10.5281/zenodo.5113559
title: The Oberwolfach Steel-Profile benchmark revisited

description: This archive features the matrix data for the reimplemented Steel Profile benchmark from the Oberwolfach Collection. In contrast to the original, it uses FENICS, rather than ALBERTA, for the finite element semi-discretization in space. Download and unzip all ZIP files for the dimensions you need (numbers in the names are dimensions of the system) add getrail.m to the same folder download mmread.m from https://math.nist.gov/MatrixMarket/mmio/matlab/mmiomatlab.html See `help getrail` for usage instructions.
DOI: 10.5281/zenodo.3555367
title: A linearized Navier-Stokes input output model

description: Matrices for the experiments reported in DOI:10.1137/140980016
DOI: 10.5281/zenodo.3555368
title: A linearized Navier-Stokes input output model

description: Matrices for the experiments reported in DOI:10.1137/140980016
DOI: 10.5281/zenodo.2558728
title: Matrices for an Artificial Fishtail

description: <strong>Matrices for an artificial fishtail based on Modeling and Motion Planing for an Artificial Fishtail.</strong>

The fish_tail.mat file contains the second order system matrices

    M*x'' + E*x' + K*x = Bu*u,<br>
                     y = C*x,

of an artificial fishtail, where the matrix C = Cp contains only the end point and C = Cp_ext contains 7 points on the surface of the mesh including the end point. The matrices M, E and K are symmetric positive-definite.

The same matrices are provided in compressed files using the Matrix Market Exchange Format.

The matrices are derived by the Finite Element Method for linear elasticity applying the open source tool Firedrake on a tetrahedron Mesh generate by Trelis. Due to numerical effect the resulting matrices are asymmetrical and have been post-processed, such that the here provided matrices are symmetric.
DOI: 10.5281/zenodo.834971
title: Linear Time Varying System Examples for Model Order Reduction

description: Three linear time varying system benchmarks implemented in MATLAB. 1.) a time varying version of the Oberwolfach Steel Cooling Benchmark 2.) a one dimensional heat equation with a moving point heat source 3.) a linearized Burgers equation Model 1 comes in the same 5 resolutions as the original time-invariant version. the other two are freely scalable.
description: {"references": ["N. Lang, J. Saak, and T. Stykel, Balanced truncation model reduction for linear time-varying systems, Math. Comput. Model. Dyn. Syst., 22 (2016), pp. 267\u2013 281. doi:10.1080/13873954.2016.1198386."]}
DOI: 10.5281/zenodo.834972
title: Linear Time Varying System Examples for Model Order Reduction

description: Three linear time varying system benchmarks implemented in MATLAB. 1.) a time varying version of the Oberwolfach Steel Cooling Benchmark 2.) a one dimensional heat equation with a moving point heat source 3.) a linearized Burgers equation Model 1 comes in the same 5 resolutions as the original time-invariant version. the other two are freely scalable.
description: {"references": ["N. Lang, J. Saak, and T. Stykel, Balanced truncation model reduction for linear time-varying systems, Math. Comput. Model. Dyn. Syst., 22 (2016), pp. 267\u2013 281. doi:10.1080/13873954.2016.1198386."]}
DOI: 10.17632/25fkmrn29z.1
title: Эфендиев Диссертация

description: Данные Азиза Эфендиева
DOI: 10.17632/f3mdswct65.1
title: Data for Constraining re-equilibration timescales of contact thermal metamorphism on the Moon 

description: Supplementary materials for manuscript 'Constraining re- equilibration timescales of contact thermal metamorphism on the Moon'. JPG files are high resolution photomicrographs of all samples investigated in this study. Excel file 'SOM tables_V1' contains all mineral data collected for this study. Therms32.exe is the THERMOS programme use for the thermal modeling of the lunar crust (see manuscript for details).
DOI: 10.17632/c5djhhrhkc.1
title: QUESTIONNAIRE of Implusive Buying

description: QUESTIONNAIRE about Implusive Buying
DOI: 10.17632/x3v9284rjj.1
title: Mg, Zn and Fe isotope evidence for origin of K-rich basalts from the lithospheric mantle hybridized by recycled carbonate-bearing silicate sediments

description: Major and trace element concentrations and Sr-Nd-Mg-Zn-Fe isotopic compositions of the potassic and ultrapotassic rocks from Northeastern China.
DOI: 10.17632/vb3ry99tf6.1
title: A set of program code for the article "Study of the Locally Non-Equilibrium Process of Inductive Metal Heating in a Hydrogen Generation Reactor"

description: A set of program code for the article Pashin A.V., Kryukov Yu.A., Mikheeva G.V., Kudinov I.V., Pimenov A.A. "Investigation of the local non-equilibrium process of inductive heating of metal in a hydrogen generation reactor".
A method for identifying the source of heat that occurs in the skin-layer of a hydrogen generation reactor filled with liquid metal during its induction heating is proposed. Thanks to the use of the proposed method, it is possible, with a known thickness of the skin layer, to find the power of the heat source arising in it, at which methane is heated to a given pyrolysis temperature. The method is based on the use of the heat balance equation and a local non-equilibrium mathematical model, which makes it possible to take into account the relaxation properties of materials. As a result of multivariate numerical calculations, the power of the internal heat source was determined, which is necessary for the working medium of the reactor (liquid metal) to reach the pyrolysis temperature. The developed program allows you to simulate the process of induction heating of metal in a hydrogen generation reactor.
DOI: 10.17632/d93gw6ck27.1
title: Problem-solving Strategies for the Development of Geometric Imagination

description: Dataset contains eye movement data from 45 participants solving pictorial geometry problems.
DOI: 10.5517/ccdc.csd.cc27vwhh
title: CCDC 2081417: Experimental Crystal Structure Determination

description: Related Article: Hao-Hai Wang, Jianyu Wei, Fahime Bigdeli, Farzaneh Rouhani, Hai-Feng Su, Ling-Xiao Wang, Samia Kahlal, Jean-François Halet, Jean-Yves Saillard, Ali Morsali, Kuan-Guan Liu|2023|Nanoscale|15|8245|doi:10.1039/D3NR00571B
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.cc27vwll
title: CCDC 2081420: Experimental Crystal Structure Determination

description: Related Article: Hao-Hai Wang, Jianyu Wei, Fahime Bigdeli, Farzaneh Rouhani, Hai-Feng Su, Ling-Xiao Wang, Samia Kahlal, Jean-François Halet, Jean-Yves Saillard, Ali Morsali, Kuan-Guan Liu|2023|Nanoscale|15|8245|doi:10.1039/D3NR00571B
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.cc27vytw
title: CCDC 2081489: Experimental Crystal Structure Determination

description: Related Article: Hao-Hai Wang, Jianyu Wei, Fahime Bigdeli, Farzaneh Rouhani, Hai-Feng Su, Ling-Xiao Wang, Samia Kahlal, Jean-François Halet, Jean-Yves Saillard, Ali Morsali, Kuan-Guan Liu|2023|Nanoscale|15|8245|doi:10.1039/D3NR00571B
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.cc27vwgg
title: CCDC 2081416: Experimental Crystal Structure Determination

description: Related Article: Hao-Hai Wang, Jianyu Wei, Fahime Bigdeli, Farzaneh Rouhani, Hai-Feng Su, Ling-Xiao Wang, Samia Kahlal, Jean-François Halet, Jean-Yves Saillard, Ali Morsali, Kuan-Guan Liu|2023|Nanoscale|15|8245|doi:10.1039/D3NR00571B
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.cc2f3p08
title: CCDC 2237859: Experimental Crystal Structure Determination

description: Related Article: Yugo Tsuji, Natsuko Kanno, Chigusa Goto, Shohei Katao, Yasuo Okajima, Pablo Reine, Paulius Imbrasas, Sebastian Reineke, Katsuyuki Shizu, Takuya Nakashima, Hironori Kaji, Tsuyoshi Kawai, Marine Louis|2023|J.Mater.Chem.C|11|5968|doi:10.1039/D3TC00316G
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.cc2f3p7h
title: CCDC 2237866: Experimental Crystal Structure Determination

description: Related Article: Yugo Tsuji, Natsuko Kanno, Chigusa Goto, Shohei Katao, Yasuo Okajima, Pablo Reine, Paulius Imbrasas, Sebastian Reineke, Katsuyuki Shizu, Takuya Nakashima, Hironori Kaji, Tsuyoshi Kawai, Marine Louis|2023|J.Mater.Chem.C|11|5968|doi:10.1039/D3TC00316G
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.cc2fdfq0
title: CCDC 2246282: Experimental Crystal Structure Determination

description: Related Article: Xiaoyuan Tian, Hui Wang, Shixian Cao, Yunting Liu, Fanda Meng, Xiaoyan Zheng, Guangle Niu|2023|J.Mater.Chem.C|11|5987|doi:10.1039/D2TC05266K
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.cc2fdfr1
title: CCDC 2246283: Experimental Crystal Structure Determination

description: Related Article: Xiaoyuan Tian, Hui Wang, Shixian Cao, Yunting Liu, Fanda Meng, Xiaoyan Zheng, Guangle Niu|2023|J.Mater.Chem.C|11|5987|doi:10.1039/D2TC05266K
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: 10.17028/rd.lboro.13655648
title: Data for Gas diffusion electrodes modified with binary doped polyaniline for enhanced CO<sub>2</sub> conversion during microbial electrosynthesis

description: This data was used for describing our latest research results published in Electrochimical Acta: https://doi.org/10.1016/j.electacta.2021.137853.