cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7962177
title: Air mass trajectory and connectivity data generated with tropolink (Richard et al., 2023)

description: Archive containing trajectory and connectivity data generated with tropolink for the preparation of the manuscript Richard et al. (2023, https://doi.org/10.1029/2023GH000885), as well as the corresponding specifications (node coordinates, dates and other tropolink options). The archive contains specifications, trajectories and connectivities for the three applications presented in the manuscript:
- the study of airborne connectivity between areas of production of sugar beet, with starting altitude equal to 250m, 500m and 750m above ground level;
- the study of airborne connectivity between potyvirus populations;
- the study of invasion risk of Spodoptera frugiperda in Europe, North Africa and western Asia;
 
Web application tropolink: https://tropolink.fr/
Associated gitlab: https://forgemia.inra.fr/tropo-group
Accompanying wiki: https://forgemia.inra.fr/tropo-group/tropolink/-/wikis
R code for analyzing tropolink output: https://forgemia.inra.fr/tropo-group/tropolink/-/wikis/Examples
Richard H., Martinetti D., Lercier D., Fouillat Y., Hadi B., Elkahky M., Ding J., Michel L., Morris C.E., Berthier K., Maupas F., Soubeyrand S. (2023). Computing geographical networks generated by air-mass movement. GeoHealth 7:e2023GH000885. https://doi.org/10.1029/2023GH000885.
DOI: 10.5281/zenodo.7962178
title: Air mass trajectory and connectivity data generated with tropolink (Richard et al., 2023)

description: Archive containing trajectory and connectivity data generated with tropolink for the preparation of the manuscript Richard et al. (2023, https://doi.org/10.1029/2023GH000885), as well as the corresponding specifications (node coordinates, dates and other tropolink options). The archive contains specifications, trajectories and connectivities for the three applications presented in the manuscript:
- the study of airborne connectivity between areas of production of sugar beet, with starting altitude equal to 250m, 500m and 750m above ground level;
- the study of airborne connectivity between potyvirus populations;
- the study of invasion risk of Spodoptera frugiperda in Europe, North Africa and western Asia;
 
Web application tropolink: https://tropolink.fr/
Associated gitlab: https://forgemia.inra.fr/tropo-group
Accompanying wiki: https://forgemia.inra.fr/tropo-group/tropolink/-/wikis
R code for analyzing tropolink output: https://forgemia.inra.fr/tropo-group/tropolink/-/wikis/Examples
Richard H., Martinetti D., Lercier D., Fouillat Y., Hadi B., Elkahky M., Ding J., Michel L., Morris C.E., Berthier K., Maupas F., Soubeyrand S. (2023). Computing geographical networks generated by air-mass movement. GeoHealth 7:e2023GH000885. https://doi.org/10.1029/2023GH000885.
DOI: 10.6084/m9.figshare.24468436
title: Test

description: test
DOI: 10.6084/m9.figshare.24468436.v2
title: Test

description: test
DOI: 10.6084/m9.figshare.24468436.v1
title: OpenDengue: Spatial extract V1.2

description: test
DOI: 10.6084/m9.figshare.24517459
title: Rainfall erosivity from EMO-5

description: The accompanying files for the github repository:https://github.com/matfran/Rainfall-erosivity-from-EU-grids.gitContains:1) The shapefiles containing spatially distributed parameters to predict rainfall erosivity from rainfall depth across Europe. 2) Sample time series predictions from EMO-5 from which rainfall erosivity can be calculated<br>
DOI: 10.5281/zenodo.10075774
title: Processed glider data: 9 months of hydrographic and ADCP observations in the Gulf of Oman.

description: 68 repeat transects and 2 virtual moorings covering a spring/neap cycle collected by a SeaExplorer glider with T, S, O2, Chl, Optical backscatter, PAR and ADCP data in the Gulf of Oman. Dataset collected as part of the ONR Global project "Shelf slope dyanmics in the Sea of Oman: How submesoscale processes control food and water security". The glider was deployed from the north shore of Oman into the Gulf of Oman, sampling down to 1000m in the oxygen minimum zone.
 
File and variable metadata included in the netCDF files.
 
sea057_M##.ad2cp.#####.nc : Raw ADCP data provided in Nortek .nc format.
SEA057_glider.nc : SeaExplorer data timeseries QC'd and processed into a 1Hz timeseries.
SEA057_ADCP.nc : ADCP data fully processed and referenced, and then reprojected back onto the same 1Hz timeseries. ADCP data processed as per https://github.com/bastienqueste/gliderad2cp .
DOI: 10.6084/m9.figshare.23585328
title: Example data for testing ARchBooMaker - the tools for calculating Arch metrics.

description: Includes 1 foot, and two track meshes, with textures, as fbx format.
DOI: 10.6084/m9.figshare.23585328.v1
title: Example data for testing ARchBooMaker - the tools for calculating Arch metrics.

description: Includes 1 foot, and two track meshes, with textures, as fbx format.
DOI: 10.60596/11150-2022-01
title: Crop modelling
DOI: 10.21227/jqmw-4317
title: 28 GHz V2I measurements on highways

description: In this dataset, 4 radio channel measurements at 28 GHz are presented. These have been captured in two different spots of a highway with a fixed Tx and a mobile Rx onboard a car, emulating a V2I link. The Tx was placed both on the roadside (3 measurement runs) and on an overpass (1 measurement). Each run consists of around 4.29 s of continuously captured channel impulse responses (CIRs), with a channel sampling period of 65 μs and a delay resolution of 2 ns. The channel sounder used the pseudorandom binary sequence 11 (PRBS11) to excite the channel and extract multipath characteristics, using two pre-synchronyzed rubidium standards in order to keep synchronization between Tx and Rx clocks. Nonetheless, no absolute delay or amplitude synchronization has been performed. The dataset can be processed in order to extract wideband channel characteristics.
DOI: 10.34740/kaggle/dsv/6910066
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.7817088
title: Dataset from Castel et al. 'Genetic sex determination in three closely related hydrothermal vent gastropods, one of which has intersex individuals'

description: This is the dataset used in "Genetic sex determination in three closely related hydrothermal vent gastropods, one of which has intersex individuals"<br> Castel J, Pradillon F, Cueff V, Leger G, Daguin-Thiébaut C, Ruault S, Mary J, Hourdez S, Jollivet D, and Broquet T Column Id corresponds to the label of an individual<br> NCBI_sample_name is the label of this individual as it is recorded in the NCBI genbank database (to retrieve RAD-sequences)<br> columns basin and site give the sampling location<br> biobox is the label of the sampling device used to collecte the individual (sampling box)<br> sex_onboard is the sex identified on board the ship from the external colour of the gonad<br> sex_histo is the sex identified from histological analyses<br> sex is the sex finally retained for an individual (see supp. mat. table S1) before genetic analyses
DOI: 10.5281/zenodo.10078642
title: Dataset from Castel et al. 'Genetic sex determination in three closely related hydrothermal vent gastropods, including one species with intersex individuals'

description: This is the dataset used in "Genetic sex determination in three closely related hydrothermal vent gastropods, including one species with intersex individuals"Castel J, Pradillon F, Cueff V, Leger G, Daguin-Thiébaut C, Ruault S, Mary J, Hourdez S, Jollivet D, and Broquet T
Column Id corresponds to the label of an individualNCBI_sample_name is the label of this individual as it is recorded in the NCBI genbank database (to retrieve RAD-sequences)columns basin and site give the sampling locationbiobox is the label of the sampling device used to collecte the individual (sampling box)sex_onboard is the sex identified on board the ship from the external colour of the gonadsex_histo is the sex identified from histological analysessex is the sex finally retained for an individual (see supp. mat. table S1) before genetic analyses
description: This is an update of DOI 10.5281/zenodo.7817088
DOI: 10.5281/zenodo.7827856
title: Dataset from Castel et al. 'Genetic sex determination in three closely related hydrothermal vent gastropods, one of which has intersex individuals'

description: This is the dataset used in "Genetic sex determination in three closely related hydrothermal vent gastropods, one of which has intersex individuals"<br> Castel J, Pradillon F, Cueff V, Leger G, Daguin-Thiébaut C, Ruault S, Mary J, Hourdez S, Jollivet D, and Broquet T Column Id corresponds to the label of an individual<br> NCBI_sample_name is the label of this individual as it is recorded in the NCBI genbank database (to retrieve RAD-sequences)<br> columns basin and site give the sampling location<br> biobox is the label of the sampling device used to collecte the individual (sampling box)<br> sex_onboard is the sex identified on board the ship from the external colour of the gonad<br> sex_histo is the sex identified from histological analyses<br> sex is the sex finally retained for an individual (see supp. mat. table S1) before genetic analyses
description: This is an update of DOI 10.5281/zenodo.7817088
DOI: 10.23729/8369b18e-939b-4f8f-b07b-6a8e9ba7030e
title: Stable Isotopes of δ18O and δ2H in Stream Water at Pallas During Winter-Spring 2019-2020

description: The folder associated with this file contains the dataset of stream water δ18O and δ2H isotopes for winter-spring 2019-2020. All data were collected at the Pallas Research Catchment in Finland. This dataset was used in the research article published in the Journal of Hydrology. The article's title is 'Snow sampling strategy can bias estimation of meltwater fractions in isotope hydrograph separation', accessible via https://doi.org/10.1016/j.jhydrol.2023.130429. The folder contains one CSV file.
DOI: 10.6084/m9.figshare.24197271.v2
title: Replication of dynamic equations and eigenvalue computation procedures

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.24198243.v1
title: The matlab program used to plot Figure 2

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.24198264.v1
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: 10.6084/m9.figshare.24198273.v1
title: The matlab program used to plot Figure 4

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.24198282.v1
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: 10.6084/m9.figshare.24198288.v1
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: 10.17630/080c0f26-0a9e-4483-ab12-ab8985191371
title: The role of vocal learning in call acquisition of wild grey seal pups (dataset)
DOI: 10.17630/f464e1b5-3f24-4ca8-bdca-180478f4b932
title: Probing Unconventional Transport Regimes in Delafossite Metals (thesis data)

description: The following file types and formats are included: Data in .dat text format, readable by all text editor programs. Organised by chapter (chapters without underlying data are omitted). More details as to the structure and organisation of the file can be found in the _ReadMe file.