cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2c1sz6
title: CCDC 2176478: Experimental Crystal Structure Determination

description: Related Article: Christian Rodríguez-Ruiz, Reynaldo Salas-Zúñiga, María Obdulia Sánchez-Guadarrama, Alejandra Delgado-Díaz, Dea Herrera-Ruiz, Hugo Morales-Rojas, Herbert Höpfl|2022|Cryst.Growth Des.|22|6023|doi:10.1021/acs.cgd.2c00661
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.cc2c1t08
title: CCDC 2176479: Experimental Crystal Structure Determination

description: Related Article: Christian Rodríguez-Ruiz, Reynaldo Salas-Zúñiga, María Obdulia Sánchez-Guadarrama, Alejandra Delgado-Díaz, Dea Herrera-Ruiz, Hugo Morales-Rojas, Herbert Höpfl|2022|Cryst.Growth Des.|22|6023|doi:10.1021/acs.cgd.2c00661
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: 10.5281/zenodo.7221853
title: Multi Modal Workload Data Capture Experiment 1

description: EEG, Video, Game Video and IMU dataset 1st experiment
DOI: 10.5281/zenodo.7221852
title: Multi Modal Workload Data Capture Experiment 1

description: EEG, Video, Game Video and IMU dataset 1st experiment
DOI: 10.17632/38hjvhgcnf.1
title: Hydrogen yield data pertaining to the performance evaluation of microchannel reforming reactors under different porosity conditions

description: The hydrogen yield data are obtained for evaluating the performance of microchannel reforming reactors under different porosity conditions. The reforming process proceeds in one set of the channels through which the endothermic reactants flow, and the exothermic oxidation process proceeds in the second set of the channels. Exothermic and endothermic reactions take place simultaneously whereby the heat required for the latter is supplied by the former. Heat transfer occurs via conduction through the walls of the reactor. For the endothermic reaction, the structure is especially effective because both the internal surfaces of the walls are coated with structured catalysts, which is capable of providing more efficient heat exchange and minimizing the problem of loss of catalytic activity. The ratio of the height of the channels to the width of the channels may vary. The cross-sectional configuration of the channels is square. The channels are 0.7 millimeters in height and in width and 30.0 millimeters in length. Channel height refers to the inside height of a channel. To ensure the mechanical strength at elevated pressures, the thickness of the uncoated walls and the catalyst layers is 0.7 millimeters and 0.1 millimeters, respectively. The reforming catalyst consists essentially of copper and oxides of zinc and aluminum. The oxidation catalyst consists essentially of oxides of copper, zinc and aluminum. The oxidation catalyst allows for initial start-up and the heat-up of the reactor system. The exothermic and endothermic processes are conducted at a pressure of 0.8 megapascals, with a methanol-air equivalence ratio of 0.8 and a steam-to-methanol molar ratio of 1.17. The inlet temperature of the mixtures is 373 degrees Kelvin. The temperature of the reactor can be regulated by the balance of the flow rates so that the catalyst is not overheated by the exothermic process and thus damaged. To assure that adequate temperatures are provided for endothermic reforming, operating flow conditions are specified for the reactor by giving the gas velocity. The gas velocity is 2.0 meters per second at the reforming channel inlets and 0.6 meters per second at the oxidation channel inlets, thereby assuring sufficient heat in the reactor to carry out endothermic reforming of methanol. The boundary conditions relate macroscopic fluid flow at a catalytically active surface to the rates of surface reactions. Heterogeneous reactions at a catalytically active surface affect the heat and mass balance at the surface. Each porous medium is modeled by adding a momentum source term to the standard momentum conservation equations.
Contributor: Junjie Chen, E-mail address: koncjj@gmail.com, ORCID: 0000-0002-5022-6863, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.6084/m9.figshare.21355404
title: Dataset

description: The complete raw dataset collected in the study<br> including the participants’ dataset.
DOI: 10.6084/m9.figshare.21357201
title: Explanatory note

description: A document containing the attached files and their contents, as well as information on the software used for the analysis.
DOI: 10.6084/m9.figshare.21357219.v1
title: Sintaxis

description: Syntax file.
DOI: 10.17632/9tkz5mc74n.1
title: Dataset on the influence of botanic and geographical origins on physicochemical properties, mineral composition, sensory attributes and consumer preference of Honey from Tanzania

description: This Data in Brief article provides seven tables, three figures, and their raw data (as supplementary material). Table 3 presents the physicochemical properties of honey samples between zones for each botanic origin, and Table 4 presents the physicochemical properties of honey samples between botanic origins for each geographical origin. Both tables correspond to raw data (S 1). Table 5 presents the mineral contents of honey samples between geographical origins for each botanic origin. Table 6 presents the mineral contents of honey samples between botanic origins for each geographical origin. Both tables correspond to raw data (S 2). Figure 1 presents the multivariate variations of honey samples from different botanic and geographical origins according to their moisture, ash, mineral, and viscosity values and corresponds to raw data (S1 and S 2). Furthermore, Table 7 presents mean intensity scores of honey samples between geographic origins for each botanic origin, while Table 8 presents mean intensity scores of honey samples between botanic origins for each geographical origin, and both tables correspond to raw data (S 3). Figure 2 presents the multivariate variations of honey samples from different geographical and botanic origins according to their average sensory attribute intensity scores and corresponds to raw data (S 3). Table 9 presents the characteristics of the sensory consumer panel and corresponds to raw data (S 4). Figure 3 (a & b) presents mean hedonic scores for honey samples between zones for each botanic origin (A) and between botanic origins for each zone (B) and it corresponds to raw data (S 5).
DOI: 10.6084/m9.figshare.21357150
title: Log file: analysis.

description: Log file: output with results from the software that has been used for the analysis.
DOI: 10.6084/m9.figshare.21357150.v3
title: Log file: analysis.

description: Log file: output with results from the software that has been used for the analysis.
DOI: 10.6084/m9.figshare.21357201.v1
title: Explanatory note

description: A document containing the attached files and their contents, as well as information on the software used for the analysis.
DOI: 10.6084/m9.figshare.21357219
title: Sintaxis

description: Syntax file.
DOI: 10.17632/ysvk42ynx7.1
title: Heterogeneous reaction rate data at different flow velocities pertaining to catalytically supported thermal combustion chambers

description: The heterogeneous reaction rate data at different flow velocities are obtained for catalytically supported thermal combustion chambers. The combustion chamber comprises a concentric annular channel, wherein the concentric annular channel further comprises an inner annular channel and an outer annular channel. A platinum catalyst is deposited only upon the interior surface of the inner channel, and the wall of the outer channel is chemically inert and catalytically inactive. The reactant stream flows through the catalytically-coated inner channel and the product stream flows out of the outer non-catalytic channel. Fuel is present for combustion in both the catalytic and non-catalytic channels. The concentrically arranged annular channel is 5.0 millimeters in inner channel length, 5.6 millimeters in outer channel length, 0.8 millimeters in innermost diameter, 2.6 millimeters in outermost diameter, 0.1 millimeters in catalyst layer thickness, and 0.2 millimeters in wall thickness. The spacing between the inner channel and the outer channel is 0.4 millimeters and remains constant. The combustion chamber can have any dimension unless restricted by design requirements. All the walls have the same thickness. One of the potential problems associated with the combustion chamber, as with all micro-scale combustion chambers, continues to be combustion stability. The maximum Reynolds number is less than 360 at the flow inlet and 960 when the velocity of the flow of the fluid is highest in the channels. The model is implemented in commercially available software FLUENT to obtain the solution of the problem. Detailed chemistry is included in the model. Detailed chemical mechanisms are playing an increasingly important role in developing chemical kinetics models for combustion. Detailed chemical mechanisms are incorporated into the reacting flow for the combustion chamber. The homogeneous combustion is modeled with the detailed chemical mechanism for methane oxidation in CHEMKIN format. Detailed heterogeneous chemistry in SURFACE-CHEMKIN format is included in the model. The rates of the elementary reactions involved in the combustion process are determined by Arrhenius kinetic expressions. Numerical simulations with the detailed chemical mechanism are typically computationally expensive. The detailed chemical mechanism is invariably stiff and therefore its numerical integration is computationally costly. Natural parameter continuation is performed by moving from one stationary solution to another.
Contributor: Junjie Chen, E-mail address: koncjj@gmail.com, ORCID: 0000-0002-5022-6863, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.17632/nkwmt8dd4r.1
title: The dimensionless Sherwood number data pertaining to the steam reforming catalyst segmentation methods used in microchannel reactors

description: The dimensionless Sherwood number data are obtained for illustrating the steam reforming catalyst segmentation methods used in microchannel reactors. The Sherwood number, also called the mass transfer Nusselt number, is a dimensionless number used in mass-transfer operation. It represents the ratio of the convective mass transfer to the rate of diffusive mass transport. Using dimensional analysis, it can also be further defined as a function of the Reynolds and Schmidt numbers. It is particularly valuable in situations where the Reynolds number and Schmidt number are readily available. Since Reynolds number and Schmidt number are both dimensionless numbers, the Sherwood number is also dimensionless. The microchannel reactor is configured for simultaneous oxidation and steam reformation of methanol. The reforming process proceeds in one set of the channels through which the endothermic reactants flow, and the exothermic oxidation process proceeds in the second set of the channels. Exothermic and endothermic reactions take place simultaneously whereby the heat required for the latter is supplied by the former. For the endothermic reaction, the structure is especially effective because both the internal surfaces of the walls are coated with structured catalysts, which is capable of providing more efficient heat exchange and minimizing the problem of loss of catalytic activity. The ratio of the height of the channels to the width of the channels may vary. The channels are 0.7 millimeters in height and in width and 30.0 millimeters in length. The oxidation catalyst consists essentially of oxides of copper, zinc and aluminum. The oxidation catalyst allows for initial start-up and the heat-up of the reactor system. The reforming catalyst consists essentially of copper and oxides of zinc and aluminum. The exothermic and endothermic processes are conducted at a pressure of 0.8 megapascals, with a methanol-air equivalence ratio of 0.8 and a steam-to-methanol molar ratio of 1.17. The inlet temperature of the mixtures is 373 degrees Kelvin. The temperature of the reactor can be regulated by the balance of the flow rates so that the catalyst is not overheated by the exothermic process and thus damaged. The gas velocity is 2.0 meters per second at the reforming channel inlets and 0.6 meters per second at the oxidation channel inlets, thereby assuring sufficient heat in the reactor to carry out endothermic reforming of methanol. The boundary conditions relate macroscopic fluid flow at a catalytically active surface to the rates of surface reactions.
Contributor: Junjie Chen, E-mail address: koncjj@gmail.com, ORCID: 0000-0002-5022-6863, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.6084/m9.figshare.21253971
title: Data from: Systemic racism alters wildlife genetic diversity

description: Data from: Schmidt and Garroway (2022) Systemic racism alters wildlife genetic diversity <br> Paper: https://www.pnas.org/doi/10.1073/pnas.2102860119 <br> Pre-print: https://ecoevorxiv.org/wbq83/ <br> Associated code is available on github: https://github.com/chloewsch/segregation_gendiv
DOI: 10.7910/dvn/leicde
title: Maddy's Test Data

description: Test description
DOI: 10.5519/qd.asfqo4wa
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5302051 records)
DOI: 10.17632/28zpmx5bpy.1
title: Thermodynamic parameters contour plots associated with catalytically supported thermal combustion systems

description: The thermodynamic parameters contour plots are presented for catalytically supported thermal combustion systems. The catalytically supported thermal combustion system comprises a concentric annular channel, wherein the concentric annular channel further comprises an inner annular channel and an outer annular channel. A platinum catalyst is deposited only upon the interior surface of the inner channel, and the wall of the outer channel is chemically inert and catalytically inactive. The concentrically arranged annular channel is 5.0 millimeters in inner channel length, 5.6 millimeters in outer channel length, 0.8 millimeters in innermost diameter, 2.6 millimeters in outermost diameter, 0.1 millimeters in catalyst layer thickness, and 0.2 millimeters in wall thickness. The spacing between the inner channel and the outer channel is 0.4 millimeters and remains constant. The system can have any dimension unless restricted by design requirements. All the walls have the same thickness. The reactant stream flows through the catalytically-coated inner channel and the product stream flows out of the outer non-catalytic channel. The maximum Reynolds number is less than 360 at the flow inlet and 960 when the velocity of the flow of the fluid is highest in the channels. To facilitate computational modeling of transport phenomena and chemical kinetics in the flowing system of complex chemical reactions involving gas-phase and surface species, steady-state analyses are performed and computational fluid dynamics is used. The model is implemented in commercially available software ANSYS FLUENT to obtain the solution of the problem. ANSYS FLUENT handles thermodynamic properties, transport properties, gas-phase equation-of-state, and chemical kinetics. Detailed chemistry is included in the model. Detailed chemical mechanisms are playing an increasingly important role in developing chemical kinetics models for combustion. Detailed chemical mechanisms are incorporated into the reacting flow for the system. The homogeneous combustion is modeled with the detailed chemical mechanism for methane oxidation in CHEMKIN format. Detailed heterogeneous chemistry in SURFACE-CHEMKIN format is included in the model. The rates of the elementary reactions involved in the combustion process are determined by Arrhenius kinetic expressions. Numerical simulations with the detailed chemical mechanism are typically computationally expensive. The detailed chemical mechanism is invariably stiff and therefore its numerical integration is computationally costly.
Contributor: Junjie Chen, E-mail address: koncjj@gmail.com, ORCID: 0000-0002-5022-6863, Department of Energy and Power Engineering, School of Mechanical and Power Engineering, Henan Polytechnic University, 2000 Century Avenue, Jiaozuo, Henan, 454000, P.R. China
DOI: 10.17632/4kzkwzyjgs.1
title: Strength, crack coalescence and failure mode of rock-like materials with 2 unequal parallel pre-existing fissures under uniaxial compression

description: UCS value of specimen
DOI: 10.5281/zenodo.7215780
title: Data and code for article "Nature reserve customized method of photo and video camera traps materials processing using two-stage neural network approach"

description: <strong>DESCRIPTION</strong> 📓 "data" folder directory contains the datasets for classification and detection. The detection dataset has <strong>YOLOv5 format</strong> and contains three classes <strong>[tigers, leopards, empty]</strong>. The class empty is about <strong>10%</strong> of the total data. The leopard and tiger classes contain <strong>3500</strong> images each. The entire amount of data for the detection task is <strong>7600</strong> images. The classification dataset contains two classes <strong>[tigers, leopards]</strong>. Images for classification are cropped images from the detection task using bounding boxes. Each class has <strong>3500</strong> images The "weights" folder contains pretrained models for classification and detection tasks. The detector weights were pre-trained on <strong>231k</strong> images from camera traps located throughout Russia. The classifier weights were pre-trained on <strong>416k</strong> images that were cropped with <strong>bounding boxes</strong> from photographs for the detection task. Some of the images for the classification task were taken from the <strong>Internet</strong>. The classifiers were trained for <strong>29 classes</strong>. You can also find folder <strong>tigers_vs_leopards</strong> in both the detection and classification directory, where there are weights that have been trained on a part of the camera trap images available at the link below. <em>Classification weights</em> EfficientNetv2-M <strong>ResNeSt-101e</strong> (🚀 RECOMMENDED) ResNet-101d ReXnet-100 SeResNet-152d <em>Detection weights</em> YOLOR-W6-1280 YOLOX-X-640 YOLOv5-X-640 YOLOv5-X-1280 YOLOv5-M6-1280 <strong>YOLOv5-L6-1280</strong> (🚀 RECOMMENDED) Read README.md file for more details
DOI: 10.5281/zenodo.7215779
title: Data and code for article "Nature reserve customized method of photo and video camera traps materials processing using two-stage neural network approach"

description: <strong>DESCRIPTION</strong> 📓 "data" folder directory contains the datasets for classification and detection. The detection dataset has <strong>YOLOv5 format</strong> and contains three classes <strong>[tigers, leopards, empty]</strong>. The class empty is about <strong>10%</strong> of the total data. The leopard and tiger classes contain <strong>3500</strong> images each. The entire amount of data for the detection task is <strong>7600</strong> images. The classification dataset contains two classes <strong>[tigers, leopards]</strong>. Images for classification are cropped images from the detection task using bounding boxes. Each class has <strong>3500</strong> images The "weights" folder contains pretrained models for classification and detection tasks. The detector weights were pre-trained on <strong>231k</strong> images from camera traps located throughout Russia. The classifier weights were pre-trained on <strong>416k</strong> images that were cropped with <strong>bounding boxes</strong> from photographs for the detection task. Some of the images for the classification task were taken from the <strong>Internet</strong>. The classifiers were trained for <strong>29 classes</strong>. You can also find folder <strong>tigers_vs_leopards</strong> in both the detection and classification directory, where there are weights that have been trained on a part of the camera trap images available at the link below. <em>Classification weights</em> EfficientNetv2-M <strong>ResNeSt-101e</strong> (🚀 RECOMMENDED) ResNet-101d ReXnet-100 SeResNet-152d <em>Detection weights</em> YOLOR-W6-1280 YOLOX-X-640 YOLOv5-X-640 YOLOv5-X-1280 YOLOv5-M6-1280 <strong>YOLOv5-L6-1280</strong> (🚀 RECOMMENDED) Read README.md file for more details
DOI: 10.17632/v9x2svd9yf.1
title: 2162 merged records of Scopus & WoS

description: 2486 records after merging Scopus and WoS data and then 324 deleted. The final records used for bibliometrix is 2162
DOI: 10.17632/fscvgpm4jp.1
title: Data for: Continuous Deep Brain Stimulation of the Subthalamic Nucleus may not Modulate Beta Bursts in Patients with Parkinson's Disease

description: These scripts create and analyze synthetic LFP used in the publication. Scripts are ordered by figures where the data appear.
DOI: 10.17632/fscvgpm4jp.2
title: Data for: Continuous Deep Brain Stimulation of the Subthalamic Nucleus may not Modulate Beta Bursts in Patients with Parkinson's Disease

description: These scripts create and analyze synthetic LFP used in the publication. Scripts are ordered by figures where the data appear.
Version 2: Replaced incorrect Fig6 code with the code used to generate the figure in the published figure.
DOI: 10.17632/gk7538pfcx.1
title: Does Current Account Balances Influence Foreign Direct Investment in Indian Economy? 

description: This data is authentic and reliable, key sources of this data is WDI.
DOI: 10.17632/vz9n5tsrzr.1
title: Executive Functions in GD

description: It includes data abour WCST, COWAT and Stroop in adolescents with Gender Dysphoria
DOI: 10.6084/m9.figshare.20364726.v1
title: x3POP_MTM_SPRING2022.mat

description: Matlab dot mat file that contains 12 monthly tracer transport operators generated from a ~3K+ year integration of the POP ocean model with a x3deg nominal horizontal resolution.
DOI: 10.5281/zenodo.6903152
title: GC impacts on soil biodiversity

description: Dataset for the meta-analysis "Global change and their environmental stressors have a significant impact on soil biodiversity – a meta-analysisGlobal change and their environmental stressors have a significant impact on soil biodiversity – a meta-analysis" R Code for the data cleaning and analysis can be found here: https://github.com/helenphillips/GCimpactsSB
DOI: 10.5281/zenodo.6903151
title: GC impacts on soil biodiversity

description: Dataset for the meta-analysis "Global change and their environmental stressors have a significant impact on soil biodiversity – a meta-analysisGlobal change and their environmental stressors have a significant impact on soil biodiversity – a meta-analysis" R Code for the data cleaning and analysis can be found here: https://github.com/helenphillips/GCimpactsSB
DOI: 10.17632/w2cdx4bgtw.1
title: Inputs and outputs of hydrological model LUMPF sutdy site Janauaca

description: Inputs and outputs of the LUMPF hydrological model in the Janauacá study area
DOI: 10.34740/kaggle/dsv/4348770
title: Tabela de livros
DOI: 10.6084/m9.figshare.20364726
title: x3POP_MTM_SPRING2022.mat

description: Matlab dot mat file that contains 12 monthly tracer transport operators generated from a ~3K+ year integration of the POP ocean model with a x3deg nominal horizontal resolution.