cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24192573
title: minimal data set

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.
DOI: 10.6084/m9.figshare.24192573.v1
title: minimal data set

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.
DOI: 10.25582/data.2022-05.2522638/2195705
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-03.2451026/2195706
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-03.2464492/2195707
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-02.2432984/2195708
title: Data for EMSL Project 60221 from February 2022
DOI: 10.25582/data.2022-03.2451135/2195709
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-04.2469900/2195710
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-04.2472957/2195711
title: Data for EMSL Project 60221 from April 2022
DOI: 10.5281/zenodo.10039124
title: Example datasets for ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images

description: This is an example dataset.
It accompanies the manuscript titled "ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images".
DOI: 10.5281/zenodo.10039125
title: Example datasets for ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images

description: This is an example dataset.
It accompanies the manuscript titled "ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images".
DOI: 10.25582/data.2022-04.2470025/2195712
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-02.2434816/2195713
title: Data for EMSL Project 60221 from February 2022
DOI: 10.25582/data.2022-03.2464292/2195714
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-03.2464294/2195715
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-03.2464800/2195716
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-04.2472873/2195717
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-03.2450877/2195718
title: Data for EMSL Project 60221 from March 2022
DOI: 10.6084/m9.figshare.24198264
title: The matlab program used to plot Figure 3

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.
DOI: 10.25582/data.2022-04.2469961/2195719
title: Data for EMSL Project 60221 from April 2022
DOI: 10.6084/m9.figshare.24198264.v2
title: The matlab program used to plot Figure 3

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.
DOI: 10.25582/data.2022-05.2522641/2195720
title: Data for EMSL Project 60221 from May 2022
DOI: 10.25582/data.2022-04.2472844/2195721
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-04.2472857/2195722
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-03.2451049/2195723
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-03.2451136/2195724
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-04.2473001/2195725
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-02.2433372/2195726
title: Data for EMSL Project 60221 from February 2022
DOI: 10.25582/data.2022-03.2464289/2195727
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-03.2464805/2195728
title: Data for EMSL Project 60221 from March 2022
DOI: 10.6084/m9.figshare.24198288
title: The matlab program used to plot Figure 6

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.
DOI: 10.25582/data.2022-04.2469981/2195729
title: Data for EMSL Project 60221 from April 2022
DOI: 10.6084/m9.figshare.24198288.v2
title: The matlab program used to plot Figure 6

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.
DOI: 10.25582/data.2022-04.2472907/2195730
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-03.2464284/2195731
title: Data for EMSL Project 60221 from March 2022
DOI: 10.25582/data.2022-02.2432266/2195732
title: Data for EMSL Project 60221 from February 2022
DOI: 10.18419/darus-3682
title: Replication Data for: A Predictor-Corrector-Scheme for the Geometry Planning for In-Operation-Reconfiguration of Cable-Driven Parallel Robots

description: Measurement data to reproduce the absolute and repeatability precision before and after the reconfiguration process. The dataset contains the folder with the data in reference configuration ( /predictor_corrector_scheme_data/reference_config/) and the data in the reconfigured configuration (/predictor_corrector_scheme_data/referencer_config/). For all measurements, the absolute position of the platform was measured by a Faro Vantage E6 laser tracker. The txt-files contain seven columns, whereas the first three columns contain the absolute coordinates, measured in the laser tracker's coordinate system. The first column contains the x-coordinate, second column the y-coordinate and third column the z-coordinate, respectively. The other four columns are not of interest. Additionally, before the precision can be assessed, the coordinates have to be transformed to the robot's coordinate system and the offset between the laser tracker target and the center of the platform's coordinate system has to be compensated. For this purpose, the difference between the laser tracker and the robot's coordinate system is given in "coordinate_origin.txt" and the orientation difference in terms of the rotation matrix in "rotation_matrix.txt" as well as the laser tracker target offset, which has to be added to the measured values, in "target_offset.txt". The calculation of the precision was performed according to ISO 9283, which is also mentioned in the corresponding paper.
DOI: 10.25582/data.2022-04.2472940/2195733
title: Data for EMSL Project 60221 from April 2022
DOI: 10.25582/data.2022-02.2431227/2195734
title: Data for EMSL Project 60221 from February 2022
DOI: 10.25582/data.2022-03.2450933/2195735
title: Data for EMSL Project 60221 from March 2022
DOI: 10.6084/m9.figshare.24198282
title: The matlab program used to plot Figure 5

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.
DOI: 10.25582/data.2022-03.2464207/2195736
title: Data for EMSL Project 60221 from March 2022
DOI: 10.6084/m9.figshare.24198282.v3
title: The matlab program used to plot Figure 5

description: The global cold chain logistics market is witnessing a significant upswing, driven by the rising demand for perishable food products and increasing shipment volumes worldwide. Technological advancements are leading to a more intelligent and digitally enabled cold chain logistics system. However, the high loss rate of fresh agricultural products in China poses a significant threat to the country's food security. Therefore, it is imperative to explore innovative solutions, such as blockchain, to address the challenges of traditional cold chain logistics. In this paper, inspired by the prospect theory and evolutionary game theory, we propose an evolutionary game model to analyze the behavioral strategies of the tripartite of n-level cold chain participants, consumers, and government. Using MATLAB software, the numerical simulation of the game path of this tripartite theory is conducted, and the influence of variable parameters on the evolutionary process and outcomes of the system is analyzed. The results the following: (1) The development of an effective cold chain supply chain system can be divided into three stages, and blockchain technology plays a pivotal role in creating a seamless cold chain environment. The cost of blockchain adoption, government rewards, as well as penalties can significantly influence the behavioral choices of the three stakeholders. (2) The behavior of individual cold chain participants has a strong negative externality, which can impact the behavior of others. We also find that the larger the scale of the cold chain, the lower the probability of default by the participants. (3) The government's adoption of blockchain technology and the implementation of effective incentive policies can foster the successful development of the cold chain blockchain infrastructure. Our research contributes to the theoretical understanding of cold chain logistics decision making and policy creation for the tripartite stakeholders, including cold chain participants, consumers, and government. Our findings can serve as a valuable reference for scientific decision making and policy formulation to encourage the development of a robust cold chain supply chain system.