cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/p2ffh9md5t.1
title: MATLAB Code for 3D Steady Micropolar Couette Flow: Numerical Solver with Verification and Parametric Study

description: This dataset provides a complete, self-contained MATLAB implementation for simulating three-dimensional steady micropolar Couette flow between parallel plates. The code solves the full nonlinear system of micropolar fluid equations—including conservation of linear momentum, angular momentum, and incompressibility—using a semi-implicit finite-difference scheme with upwind convection treatment and pressure correction via a Poisson solver. The model incorporates realistic boundary conditions: the upper plate moves with constant velocity while all other walls are stationary and no-slip.

The package includes two main components: (1) a class-based solver (MicropolarCouette3D) that handles grid setup, time-stepping, boundary conditions, and physical property definitions; and (2) a driver script that performs numerical verification against the Newtonian limit (N=0) and conducts a detailed parametric study of the micropolarity parameter N, microstructure length scale m, and Reynolds number Re.

Key outputs include velocity profiles, microrotation fields, energy dissipation distributions, convergence histories, and integral dissipation metrics. The analysis demonstrates how micropolar effects alter flow structure, enhance local rotation, and increase total energy dissipation compared to classical fluids. All visualizations are static, high-quality, and suitable for publication.

This code is intended for researchers in theoretical and computational fluid dynamics, particularly those studying complex fluids with microstructure (e.g., liquid crystals, ferrofluids, blood analogs). It emphasizes physical fidelity, numerical robustness, and reproducibility—without analytical simplifications.
DOI: 10.17632/5phbbtybj4
title: Dataset for a Big Data–Driven Green Logistics Model to Improve Last-Mile Delivery Efficiency and Reduce Fossil Fuel Use

description: This dataset contains empirical data used to validate a Big Data–driven Green Logistics model focused on improving last-mile delivery efficiency and reducing fossil fuel consumption. The data were collected from a light-logistics company operating in three cities in Peru and include historical delivery records, delivery attempt outcomes, routing information, fuel consumption data, and performance indicators. The dataset supports the calculation of key logistics metrics such as delivery efficiency, average delivery time, number of delivery attempts, fuel consumption efficiency, and the Green Logistics Efficiency Index (GLEI). These data enable the replication of the results reported in the associated research article and provide a basis for comparative analysis of sustainable last-mile logistics strategies in similar operational contexts.
DOI: 10.17632/5phbbtybj4.1
title: Dataset for a Big Data–Driven Green Logistics Model to Improve Last-Mile Delivery Efficiency and Reduce Fossil Fuel Use

description: This dataset contains empirical data used to validate a Big Data–driven Green Logistics model focused on improving last-mile delivery efficiency and reducing fossil fuel consumption. The data were collected from a light-logistics company operating in three cities in Peru and include historical delivery records, delivery attempt outcomes, routing information, fuel consumption data, and performance indicators. The dataset supports the calculation of key logistics metrics such as delivery efficiency, average delivery time, number of delivery attempts, fuel consumption efficiency, and the Green Logistics Efficiency Index (GLEI). These data enable the replication of the results reported in the associated research article and provide a basis for comparative analysis of sustainable last-mile logistics strategies in similar operational contexts.
DOI: 10.17632/yxv27gxh6y
title: Remittance of Bangladesh

description: District and division wise remittance of Bangladesh (2017-2024).
DOI: 10.17632/yxv27gxh6y.1
title: Remittance of Bangladesh

description: District and division wise remittance of Bangladesh (2017-2024).
DOI: 10.17632/6snrjwcpkh.2
title: UAV-OBB

description: Dataset Description (≤3000 characters)

UAV-OBB is an aerial urban vehicle dataset designed for rotation-aware object detection and smart-city traffic monitoring using oriented bounding boxes (OBBs). Many UAV/drone datasets annotate vehicles with axis-aligned rectangles that include unnecessary background and do not encode orientation; UAV-OBB provides tight rotated annotations to support accurate localization, orientation estimation, and downstream traffic analysis.

The dataset contains 1,375 RGB images (JPEG) at 1920×1080 resolution captured from predominantly nadir-view UAV imagery over urban roads in Chongqing, Wuhan, and Beijing (China). It provides 35,615 oriented vehicle instances across six classes: bike, bus, car, other_vehicle, taxi, and truck. The data are split into 1,158 training images, 207 validation images, and 10 test images. Collection altitude was approximately 75–108 m under diverse real-world conditions, including morning, midday, evening, rain, and mist/light fog. Both wide field-of-view and zoom settings were used to introduce strong scale variation, ranging from small distant vehicles to large close-up buses and trucks.

Annotations are provided in YOLOv8-OBB label format as plain text files (one per image). Each object is encoded by class id and a rotated rectangle represented by four corner vertices (x1,y1…x4,y4) in normalized image coordinates. All instances were manually annotated with rotation-capable tools and double-checked for quality and consistency. Occluded and truncated vehicles were included when the majority of the object was visible, reflecting realistic urban traffic scenes.

To support practical evaluation beyond static images, UAV-OBB also includes supplementary MP4 video sequences: a short clip with sparsely annotated reference frames for human-verifiable temporal assessment, and a longer unannotated sequence for qualitative evaluation of stability and deployment behavior. UAV-OBB can be used for oriented detection, tracking, counting, density estimation, and traffic-flow analysis in urban UAV surveillance scenarios.
DOI: 10.17632/bp5krj4hfv
title: data for the northern Bohai Bay, China

description: Sampling stations of surface sediments in the northern Bohai Bay, including geographic coordinates, water depth, total organic carbon (TOC), critical erosion shear stress (τc, N m⁻²), clay mineral composition, grain-size distribution, and mean grain size. Also shown are sample depths (≤40 m below the seafloor), methane concentrations, and methane carbon isotopic compositions from the DZ1 geological borehole.
DOI: 10.17632/bp5krj4hfv.1
title: data for the northern Bohai Bay, China

description: Sampling stations of surface sediments in the northern Bohai Bay, including geographic coordinates, water depth, total organic carbon (TOC), critical erosion shear stress (τc, N m⁻²), clay mineral composition, grain-size distribution, and mean grain size. Also shown are sample depths (≤40 m below the seafloor), methane concentrations, and methane carbon isotopic compositions from the DZ1 geological borehole.
DOI: 10.17632/946y8n73nr
title: Public data openness and private enterprise growth: The Roles of Local Resource Allocation and Cross-Regional Collaborative Innovation

description: This repository contains the data and code used in the paper titled "Public data openness and private enterprise growth: The Roles of Local Resource Allocation and Cross-Regional Collaborative Innovation", submitted to the journal Economic Modelling. A detailed Readme is included with instructions to replicate all empirical results. Synthetic data and access information for confidential data are also provided to ensure full reproducibility.
DOI: 10.17632/946y8n73nr.1
title: Public data openness and private enterprise growth: The Roles of Local Resource Allocation and Cross-Regional Collaborative Innovation

description: This repository contains the data and code used in the paper titled "Public data openness and private enterprise growth: The Roles of Local Resource Allocation and Cross-Regional Collaborative Innovation", submitted to the journal Economic Modelling. A detailed Readme is included with instructions to replicate all empirical results. Synthetic data and access information for confidential data are also provided to ensure full reproducibility.
DOI: 10.17632/dy85vj4377.1
title: Grid-Based Analysis of Urban Block Morphology and Built Environment Associations: A Multi-City Study in China

description: This dataset supports the analyses presented in “Grid-Based Analysis of Urban Block Morphology and Built Environment Associations: A Multi-City Study in China”. It provides three groups of data used to quantify (i) urban built-environment conditions, (ii) urban block building morphology, and (iii) footprint-based feature representations after dimensionality reduction.
DOI: 10.17632/cbtpxvcbkn.1
title: Supplementary Materials for the paper "Progressive fluid-rock interaction drives multistage mineralization of the Niutangjie tungsten skarn deposit, South China: constraints from H-O isotopes"

description: H-O isotopic data and geochemical modeling from the Niutangjie tungsten deposit
DOI: 10.17632/66mb3pg92w
title: MATLAB Code for Numerical Simulation and Visualization of 2D Inclined Viscous-Gravity Flow with Nonlinear Boundary Conditions

description: This dataset contains a complete MATLAB script for simulating and visualizing a steady, two-dimensional flow of a viscous fluid down an inclined plane under the influence of gravity. The model implements an analytical-numerical solution incorporating nonlinear (quadratic) boundary conditions for the surface velocity. Key features include: computation of velocity component profiles (Vx, Vy), analysis of dimensionless parameters (Reynolds and Froude numbers), advanced streamline tracing using the stream2 function, and investigation of flow phenomena such as flow reversal and particle trajectories. The code is self-contained, fully commented, and designed for reproducibility. It serves as a valuable tool for research and education in computational fluid dynamics, stability analysis of stratified flows, and applied mathematics.
DOI: 10.17632/66mb3pg92w.1
title: MATLAB Code for Numerical Simulation and Visualization of 2D Inclined Viscous-Gravity Flow with Nonlinear Boundary Conditions

description: This dataset contains a complete MATLAB script for simulating and visualizing a steady, two-dimensional flow of a viscous fluid down an inclined plane under the influence of gravity. The model implements an analytical-numerical solution incorporating nonlinear (quadratic) boundary conditions for the surface velocity. Key features include: computation of velocity component profiles (Vx, Vy), analysis of dimensionless parameters (Reynolds and Froude numbers), advanced streamline tracing using the stream2 function, and investigation of flow phenomena such as flow reversal and particle trajectories. The code is self-contained, fully commented, and designed for reproducibility. It serves as a valuable tool for research and education in computational fluid dynamics, stability analysis of stratified flows, and applied mathematics.
DOI: 10.17632/grj9bmjs2n
title: Mo and Tl isotope data from Arabian Sea OMZ

description: This data inclues all the trace element concentration and Mo and Tl isotope data in the Arabian Sea OMZ sediments.
DOI: 10.17632/grj9bmjs2n.1
title: Mo and Tl isotope data from Arabian Sea OMZ

description: This data inclues all the trace element concentration and Mo and Tl isotope data in the Arabian Sea OMZ sediments.
DOI: 10.6084/m9.figshare.31075210
title: Data shelter (Martínez & Arce)

description: Ocupación y preferencia de refugios en un cíclido nativo y un invasor.
DOI: 10.6084/m9.figshare.31075210.v1
title: Data shelter (Martínez & Arce)

description: Ocupación y preferencia de refugios en un cíclido nativo y un invasor.
DOI: 10.7910/dvn/s8bj92
title: Prime numbers that are simultaneously safe primes, Sophie Germain primes, and happy primes (sequence)

description: This dataset is a sequence of prime numbers that are simultaneously safe primes, Sophie Germain primes, and happy primes. I raise the question of whether there are infinitely many such primes.
DOI: 10.17632/f2fd98dkcg
title: Dataset of the role of Artificial Intelligence Adoption on Business Model Innovation, Sustainable Competitive Advantage, and Firm Performance

description: This dataset contains the raw survey data used to examine how Artificial Intelligence (AI) adoption influences Business Model Innovation (BMI), Sustainable Competitive Advantage (SCA), and Firm Performance (FP). The study integrates three theoretical lenses—TOE Framework, Contingency Theory, and Dynamic Capabilities Theory—to explain the determinants and outcomes of AI adoption in Vietnamese enterprises. The dataset includes responses from 325 managers across various industries in Vietnam who have experience with or knowledge of their firms’ digital transformation and AI adoption activities.
DOI: 10.17632/f2fd98dkcg.1
title: Dataset of the role of Artificial Intelligence Adoption on Business Model Innovation, Sustainable Competitive Advantage, and Firm Performance

description: This dataset contains the raw survey data used to examine how Artificial Intelligence (AI) adoption influences Business Model Innovation (BMI), Sustainable Competitive Advantage (SCA), and Firm Performance (FP). The study integrates three theoretical lenses—TOE Framework, Contingency Theory, and Dynamic Capabilities Theory—to explain the determinants and outcomes of AI adoption in Vietnamese enterprises. The dataset includes responses from 325 managers across various industries in Vietnam who have experience with or knowledge of their firms’ digital transformation and AI adoption activities.
DOI: 10.17632/rkbw676zf2
title: Videos and files for image analysis

description: Time-lapse live-cell imaging datasets and associated image analysis files.
DOI: 10.17632/rkbw676zf2.3
title: Videos and files for image analysis

description: Time-lapse live-cell imaging datasets and associated image analysis files.
DOI: 10.17632/cbvxt8y5fv
title: Pusila granite data

description: This is the dataset of article "Two-stages of Sn enrichment in granitic magmatism: insights from Sn isotopes of cogenetic minerals"
DOI: 10.17632/cbvxt8y5fv.1
title: Pusila granite data

description: This is the dataset of article "Two-stages of Sn enrichment in granitic magmatism: insights from Sn isotopes of cogenetic minerals"
DOI: 10.5281/zenodo.18259931
title: Rationalised Steel Grade Dataset Using the K-Means Reduction Process (KMRP)

description: This dataset provides a rationalised collection of carbon and stainless steel grades compiled from multiple internationally recognised designation systems. It integrates mechanical properties, chemical composition ranges, processing indicators, and alloy identifiers from major global standards to enable comparative analysis and data-driven investigation of steel grade behaviour and redundancy.

Steel grades were initially consolidated from the following international standards and designation systems:

AISI / SAE (American Iron and Steel Institute / Society of Automotive Engineers);UNS (Unified Numbering System for Metals and Alloys);ASTM (American Society for Testing and Materials);EN / EN 10027 (European standards for steel classification);GB / GB/T (Chinese national standards for ferrous alloys).

Mechanical, chemical, and processing information was collected from three publicly accessible materials databases: MatWeb (matweb.com), MakeItFrom (makeitfrom.com), and Steel-Grades (steel-grades.com). Data from these sources were cross-referenced and harmonised to ensure consistency across property definitions, compositional ranges, and processing descriptors.

The dataset includes the following information for each steel grade:

Mechanical properties, including ultimate tensile strength (UTS), yield strength, elongation, and hardness (where reported);Chemical composition ranges, expressed as minimum and maximum values for principal alloying elements as well as tramp and impurity elements;Processing-related attributes, represented through binary indicators for common thermomechanical and heat treatment conditions (e.g. annealed, quenched, hardened);Standard identifiers and nomenclature, including AISI, SAE, UNS, EN, GB/T, and ASTM grade names and numbers.

This dataset represents the final output of the K-Means Reduction Process (KMRP), a custom data-driven rationalisation framework developed to systematically reduce the number of existing steel grades while preserving full mechanical property coverage. The KMRP algorithm clusters steel grades based on similarity in mechanical performance and subsequently eliminates redundant grades whose property ranges are fully covered by other representatives within the same cluster.

Each steel grade is annotated with a categorical Status label indicating whether it was retained (Remaining) or removed (Eliminated) during the maximum-elimination strategy. The retained grades collectively span the full mechanical performance space of the original dataset, thereby demonstrating that a substantially smaller subset of grades can represent the same application-driven performance envelope.
DOI: 10.5281/zenodo.18260060
title: Replication material for paper "Lichtin, Smith, Axhausen, Bernauer (2024): How much should public transport services be expanded, and who should pay? Experimental evidence from Switzerland. Transport Policy. DOI: 10.1016/j.tranpol.2024.08.016"

description: Replication material for paper "Lichtin, Smith, Axhausen, Bernauer (2024): How much should public transport services be expanded, and who should pay? Experimental evidence from Switzerland. Transport Policy. DOI: 10.1016/j.tranpol.2024.08.016"
DOI: 10.5281/zenodo.18260059
title: Replication material for paper "Lichtin, Smith, Axhausen, Bernauer (2024): How much should public transport services be expanded, and who should pay? Experimental evidence from Switzerland. Transport Policy. DOI: 10.1016/j.tranpol.2024.08.016"

description: Replication material for paper "Lichtin, Smith, Axhausen, Bernauer (2024): How much should public transport services be expanded, and who should pay? Experimental evidence from Switzerland. Transport Policy. DOI: 10.1016/j.tranpol.2024.08.016"
DOI: 10.17632/p2n3rgd9g7
title: MATLAB Code for Simulating Multilayer Flows with Counter-Directed Zones in a Vertical Layer

description: This repository contains a ready-to-run MATLAB script for the computational analysis and visualization of complex velocity profiles in a viscous fluid flow within a vertical plane layer. The core feature of the studied flow is the presence of multiple embedded layers (zones) where the direction of the longitudinal velocity component is opposite to the main flow.

The script implements an exact analytical solution for a three-dimensional velocity field, dependent on vertical and transverse coordinates. The user can explore three distinct pre-configured cases, each demonstrating a different flow topology: with one, two, or three internal shear layers (zero-velocity surfaces). The code automatically calculates these surfaces and generates a comprehensive set of informative plots.

Key visualizations include: 1) Individual velocity profiles U(z) with highlighted counter-flow zones and directional arrows, 2) A comparative plot of all three cases, 3) A 2D contour map of the velocity field Vx(y,z) and its cross-sections for the most complex three-layer case, 4) An analytical plot of the first and second derivatives of U(z), revealing shear gradients and inflection points linked to the zero-velocity surfaces.

The primary result is the clear graphical demonstration of how controlled variations in physical parameters (thermodynamic forces, volumetric energy release, boundary conditions) can generate complex multi-layer flow structures with alternating direction. This code is useful for researchers and students in fluid dynamics, applied mathematics, and engineering, providing a tool for studying shear flows, stability analysis, and educational demonstration of exact solutions to the Navier-Stokes equations.
DOI: 10.17632/p2n3rgd9g7.1
title: MATLAB Code for Simulating Multilayer Flows with Counter-Directed Zones in a Vertical Layer

description: This repository contains a ready-to-run MATLAB script for the computational analysis and visualization of complex velocity profiles in a viscous fluid flow within a vertical plane layer. The core feature of the studied flow is the presence of multiple embedded layers (zones) where the direction of the longitudinal velocity component is opposite to the main flow.

The script implements an exact analytical solution for a three-dimensional velocity field, dependent on vertical and transverse coordinates. The user can explore three distinct pre-configured cases, each demonstrating a different flow topology: with one, two, or three internal shear layers (zero-velocity surfaces). The code automatically calculates these surfaces and generates a comprehensive set of informative plots.

Key visualizations include: 1) Individual velocity profiles U(z) with highlighted counter-flow zones and directional arrows, 2) A comparative plot of all three cases, 3) A 2D contour map of the velocity field Vx(y,z) and its cross-sections for the most complex three-layer case, 4) An analytical plot of the first and second derivatives of U(z), revealing shear gradients and inflection points linked to the zero-velocity surfaces.

The primary result is the clear graphical demonstration of how controlled variations in physical parameters (thermodynamic forces, volumetric energy release, boundary conditions) can generate complex multi-layer flow structures with alternating direction. This code is useful for researchers and students in fluid dynamics, applied mathematics, and engineering, providing a tool for studying shear flows, stability analysis, and educational demonstration of exact solutions to the Navier-Stokes equations.