cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2022.758
title: A fuzzy multi-objective model for determining optimal warehouse location in a green multiproduct, multi-period distribution network

description: Facility decisions play an important role in supply chains because they impact the total logistics cost and customer services directly. Due to climate change, most companies attempt to make facility decisions that result in less greenhouse gas emissions. To incorporate an environmental aspect to the facility decisions, this article involves determining an optimal location, among candidate locations, of a new distribution center, its capacity, as well as optimal network flows for an existing supply chain network, while considering the environmental impacts on the supply chain. In addition, uncertainties in transportation costs and warehouse operation costs are considered. A fuzzy bi-objective mixed integer linear programming model is formulated for the problem. Effectiveness of the proposed model is demonstrated using an industrial case study. The problem instance is a four-echelon distribution network, containing 22 products in 20 periods of planning horizon. The model is solved by the min-max approach and augmented ε-constraint method using CPLEX solver. Analysis of the results indicates that the solutions from the augmented ε-constraint method yield Pareto optimal solutions, which is on the frontier of the trade-off between the total logistics cost and gas emission.
DOI: 10.14457/tu.the.2022.759
title: New sustainable approach for multi-objective production and distribution planning in supply chain

description: The paper aims to introduce a sustainable approach for aggregate production and distribution planning in a supply chain (APDP-SC) that considers multiple objectives and fuzzy parameters. The proposed approach addresses sustainability concerns, including maximizing total profit and total sales of the entire supply chain, balancing profit satisfaction between supply chain members, minimizing CO2 emissions from raw materials, production processes, and transportation of goods in the supply chain, and maximizing goodwill score from corporate social responsibility (CSR) activities. To determine the compromised solution, this paper develops a fuzzy multiple objectives mixed integer linear programming (FMOLP) model and a de-fuzzified model. The results of a simplified real case demonstrate that the proposed approach and model effectively determine the compromised solution and outperform comparison models that lack important features. Notably, this manuscript is the first to integrate the decision on conducting CSR activities with the APDP-SC decisions.
DOI: 10.14457/tu.the.2022.760
title: Supply chain production–distribution planning: an integrated approach

description: This study focuses on a supply chain network design problem considering the integration of the production and the distribution networks to make decisions related to the facility location, facility capacity, product allocation, and supplier selection. The multi-echelon structure includes suppliers, sub-assemblers, factories, external warehouses, domestic and overseas customers, with bill of materials, multi-commodity, and multiple periods consideration. The objective is to minimize the total production network cost, including fixed opening, fixed capacity installation, production, transportation, and procurement costs, as well as transportation and warehousing costs for the distribution network. A mixed integer linear programming model that integrates the production and distribution networks design is formulated to demonstrate the efficiency of the network design decision when the two networks are combined and solved at once. Additionally, a sensitivity analysis of product demand and all unit cost components is performed to analyze the impact of different parameter values on the optimal result.
DOI: 10.14457/tu.the.2022.761
title: Isogeometric buckling analysis of planar beam structures

description: This study constructs a linear buckling analysis procedure for planar curved beams by adopting a total Lagrangian Timoshenko-Ehrenfest beam formulation. The present approach is based on isogeometric analysis (IGA). Because of the ability to accurately describe complex geometry, non-uniform rational B-spline (NURBS) curves are employed in the IGA context. The system of equations from the adopted nonlinear formulation is linearized for linear buckling analysis. The geometric stiffness matrix in this study considers the influence of membrane, bending, and shear actions. The B-bar method is also adopted to ensure the proposed formulation is locking-free and applicable to curved beam structures with arbitrary geometry. The outputs of the proposed formulation are compared to the existing exact or numerical solutions.
DOI: 10.14457/tu.the.2022.762
title: Electrochemical behavior of galvanized reinforcing steel in chloride-contaminated concrete

description: Corrosion due to chloride attack is a problem that is often encountered in the field, especially in areas close to the sea and can occur in structures that have been contaminated with chlorides. Chloride damages the reinforcing steel directly, thereby reducing the life of the reinforced concrete structures when attacked. In this study, modifying the mixed proportion as well as the reinforcing steel used in construction is an alternative to increasing the service life. Galvanized steel has zinc on its outermost layer and zinc has a more negative electrode potential than bare steel. Zinc can be sacrificed when corrosion occurs. The objective of this study is to observe the corrosion behavior of three types of reinforcing steel, i.e. bare steel (BS), galvanized steel (GS), and corroded galvanized steel (CGS). Three types of binders used in this study include PCC, FA and OPC with variations of 0.4 and 0.6 water-to-binder ratio, and chloride content of 0, 0.75, and 1.5% by weight of binder. Experiments in the laboratory were carried out by measuring electrochemical properties. The experimental methods were non-destructive tests including the Wenner four probe, PPR, LPR, and HCP. Also, titration test to measure the chloride content and MIP to measure the porosity were conducted. The electrochemical properties results were used to calculate the corrosion rate and predict the service life at the corrosion initiation until corrosion cracking (propagation). Simulation using COMSOL software was carried out to see the illustration of the corrosion that occurs in the concrete structure using the electrochemical properties as the parameters.Based on the experimental results, The variation of mix proportion affects the electrochemical properties of the corrosion of the reinforcing steel. The water-to-binder ratio of 0.4 had better resistance against corrosion than those with 0.6 w/b and the resistance of steel became lower with higher chloride content. Fly ash concrete had a denser pore structure causing high concrete resistivity at a longer age. Cement with Portland composite cement (PCC) had a high strength at an early age and had a denser pore structure when incorporating chloride. This caused the concrete resistivity to increase and the current density to decrease, so that corrosion of the steel was low. The simulation of corrosion using COMSOL showed the electrode potential and current density of the steel in the concrete. Finally, service life prediction showed that galvanized steel (GS) had a longer service life than that of corroded galvanized steel (CGS) and bare steel (BS) according to the corrosion rate and the service life prediction.
DOI: 10.5281/zenodo.8298807
title: Harnessing genotype-phenotype nonlinearity to accelerate biological prediction

description: <strong>Description:</strong> We are sharing phenotypic data sets used in the pub “Harnessing genotype-phenotype nonlinearity to accelerate biological prediction”. Contained within are a set of publicly available empirical phenotype data sets, synthetic phenotypes we generated, and the output of an autoencoder model trained on them. Walkthroughs for all analyses using these data are available on GitHub. <strong>Files: </strong> <strong>“ail_cleaned_phenos.RDS”:</strong> .RDS file of mouse phenotypes from Bogue et al. 2015 <strong>“all_autoencoder_phenotype_predictions.csv“:</strong> .csv file containing accuracy statistics for all phenotype-phenotype autoencoder models analyzed in the pub <strong>“arapheno_cleaned_phenos.RDS“:</strong> .RDS file of Arabidopsis phenotypes from Exposito-Alonso et al. 2019 <strong>“autoencoder_phenos.zip“:</strong> directory of synthetic phenotype sets used to train the autoencoder models <strong>“dgrp_cleaned_phenos.RDS”:</strong> .RDS file of DGRP fruit fly phenotypes compiled from multiple sources, originally reported in Mackay et al. 2012 <strong>“jax_cleaned_phenos.RDS”:</strong> .RDS file of mouse phenotypes from Gonzales et al. 2018 <strong>“nematode_cleaned_phenos.RDS”:</strong> .RDS file of nematode phenotypes from Snoek et al. 2019 <strong>“phen_pleio_int_01_0_1.pk”:</strong> pickle of all synthetic phenotypes analyzed in the pub <strong>“yeast_cleaned_phenos.RDS”:</strong> .RDS file of yeast phenotypes from Bloom et al. 2019 A full description of how the synthetic phenotypes and autoencoder predictions were generated is available in the associated pub.
DOI: 10.5281/zenodo.8298808
title: Harnessing genotype-phenotype nonlinearity to accelerate biological prediction

description: <strong>Description:</strong> We are sharing phenotypic data sets used in the pub “Harnessing genotype-phenotype nonlinearity to accelerate biological prediction”. Contained within are a set of publicly available empirical phenotype data sets, synthetic phenotypes we generated, and the output of an autoencoder model trained on them. Walkthroughs for all analyses using these data are available on GitHub. <strong>Files: </strong> <strong>“ail_cleaned_phenos.RDS”:</strong> .RDS file of mouse phenotypes from Bogue et al. 2015 <strong>“all_autoencoder_phenotype_predictions.csv“:</strong> .csv file containing accuracy statistics for all phenotype-phenotype autoencoder models analyzed in the pub <strong>“arapheno_cleaned_phenos.RDS“:</strong> .RDS file of Arabidopsis phenotypes from Exposito-Alonso et al. 2019 <strong>“autoencoder_phenos.zip“:</strong> directory of synthetic phenotype sets used to train the autoencoder models <strong>“dgrp_cleaned_phenos.RDS”:</strong> .RDS file of DGRP fruit fly phenotypes compiled from multiple sources, originally reported in Mackay et al. 2012 <strong>“jax_cleaned_phenos.RDS”:</strong> .RDS file of mouse phenotypes from Gonzales et al. 2018 <strong>“nematode_cleaned_phenos.RDS”:</strong> .RDS file of nematode phenotypes from Snoek et al. 2019 <strong>“phen_pleio_int_01_0_1.pk”:</strong> pickle of all synthetic phenotypes analyzed in the pub <strong>“yeast_cleaned_phenos.RDS”:</strong> .RDS file of yeast phenotypes from Bloom et al. 2019 A full description of how the synthetic phenotypes and autoencoder predictions were generated is available in the associated pub.
DOI: 10.5517/ccdc.csd.cc20pdpt
title: CCDC 1867616: Experimental Crystal Structure Determination

description: Related Article: Florian Schön, Florian Biebl, Lutz Greb, Simone Leingang, Benjamin Grimm-Lebsanft, Melissa Teubner, Sören Buchenau, Elisabeth Kaifer, Michael A. Rübhausen, Hans-Jörg Himmel|2019|Chem.-Eur.J.|25|11257|doi:10.1002/chem.201901906
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.cc20pdqv
title: CCDC 1867617: Experimental Crystal Structure Determination

description: Related Article: Florian Schön, Florian Biebl, Lutz Greb, Simone Leingang, Benjamin Grimm-Lebsanft, Melissa Teubner, Sören Buchenau, Elisabeth Kaifer, Michael A. Rübhausen, Hans-Jörg Himmel|2019|Chem.-Eur.J.|25|11257|doi:10.1002/chem.201901906
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.cc20pdrw
title: CCDC 1867618: Experimental Crystal Structure Determination

description: Related Article: Florian Schön, Florian Biebl, Lutz Greb, Simone Leingang, Benjamin Grimm-Lebsanft, Melissa Teubner, Sören Buchenau, Elisabeth Kaifer, Michael A. Rübhausen, Hans-Jörg Himmel|2019|Chem.-Eur.J.|25|11257|doi:10.1002/chem.201901906
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.cc20pdsx
title: CCDC 1867619: Experimental Crystal Structure Determination

description: Related Article: Florian Schön, Florian Biebl, Lutz Greb, Simone Leingang, Benjamin Grimm-Lebsanft, Melissa Teubner, Sören Buchenau, Elisabeth Kaifer, Michael A. Rübhausen, Hans-Jörg Himmel|2019|Chem.-Eur.J.|25|11257|doi:10.1002/chem.201901906
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.cc20pdty
title: CCDC 1867620: Experimental Crystal Structure Determination

description: Related Article: Florian Schön, Florian Biebl, Lutz Greb, Simone Leingang, Benjamin Grimm-Lebsanft, Melissa Teubner, Sören Buchenau, Elisabeth Kaifer, Michael A. Rübhausen, Hans-Jörg Himmel|2019|Chem.-Eur.J.|25|11257|doi:10.1002/chem.201901906
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.cc2fg67c
title: CCDC 2247972: Experimental Crystal Structure Determination

description: Related Article: Manaswini Ray, Shobhana Krishnaswamy, Asit Kumar Pradhan, Dillip Kumar Chand|2023|Chem.Mater.|35|6702|doi:10.1021/acs.chemmater.3c00749
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.cc2g61vl
title: CCDC 2269939: Experimental Crystal Structure Determination

description: Related Article: Manaswini Ray, Shobhana Krishnaswamy, Asit Kumar Pradhan, Dillip Kumar Chand|2023|Chem.Mater.|35|6702|doi:10.1021/acs.chemmater.3c00749
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: 10.17592/001.2022102001
title: Size, sinking rate, and flux of fecal pellet and Gyrodinium cell sampled in the austral summer of 2017, 2019, 2020 in the Indian sector of the Southern Ocean.

description: Drifter sediment trap was deployed in the Indian sector of the Southern Ocean from December 2016 to January 2017, and in January 2018, and from December 2019 to January 2020. Fecal pellet and Gyrodinium cells were sampled using a drifter sediment trap. Size, sinking rate, and flux of fecal pellets and Gyrodinium cells were calculated using microscopic observation and an isotope-ratio mass spectrometer. The summary of the fecal pellets and Gyrodinium cells data is listed in the Excel file.
DOI: 10.17592/001.2019121712
title: Number concentrations, mass concentrations, mass-averaged diameters, and median shell-to-core ratios of black carbon aerosols obtained by aircraft measurements during the PAMARCMiP 2018 campaign

description: Number concentrations, mass concentrations, mass-averaged diameters, and median shell-to-core ratios of black carbon aerosols were measured by a single particle soot photometer on the Polar-5 aircraft during the PAMARCMiP 2018 campaign.
DOI: 10.5281/zenodo.8188933
title: Elastic Strain Associated with Irradiation-Induced Defects in Self-ion Irradiated Tungsten

description: Elastic interactions play an important role in controlling irradiation damage evolution, but remain largely unexplored experimentally. Using transmission electron microscopy (TEM) and high-resolution on-axis transmission Kikuchi diffraction (HR-TKD), we correlate the evolution of irradiation-induced damage structures and the associated lattice strains in self-ion irradiated pure tungsten. TEM reveals different dislocation loop structures as a function of sample thickness, suggesting that free surfaces limit the formation of extended defect structures that are found in thicker samples. HR-TKD strain analysis shows the formation of crystallographically-orientated long-range strain fluctuation above 0.01 dpa and a decrease of total elastic energy above 0.1 dpa.
DOI: 10.5281/zenodo.8188932
title: Elastic Strain Associated with Irradiation-Induced Defects in Self-ion Irradiated Tungsten

description: Elastic interactions play an important role in controlling irradiation damage evolution, but remain largely unexplored experimentally. Using transmission electron microscopy (TEM) and high-resolution on-axis transmission Kikuchi diffraction (HR-TKD), we correlate the evolution of irradiation-induced damage structures and the associated lattice strains in self-ion irradiated pure tungsten. TEM reveals different dislocation loop structures as a function of sample thickness, suggesting that free surfaces limit the formation of extended defect structures that are found in thicker samples. HR-TKD strain analysis shows the formation of crystallographically-orientated long-range strain fluctuation above 0.01 dpa and a decrease of total elastic energy above 0.1 dpa.
DOI: 10.34740/kaggle/dsv/6521758
title: Global Crypto Currency Price Database
DOI: 10.25345/c5gh9bk9j
title: MassIVE MSV000092945 - GNPS - 82 actinomycetes cultured in 5 media
title: Bacterial extracts from 82 actinomycetes cultured in five media. Untargeted LC-MS/MS acquisition performed in positive ion mode.
DOI: 10.5281/zenodo.8368858
title: High-speed video observations of needles evolving into negative leaders in a positive cloud-to-ground lightning flash

description: The data supports the manuscript entitled “<strong>High-speed video observations of needles evolving into negative leaders in a positive cloud-to-ground lightning flash</strong>”. The high-speed video data files of the positive cloud-to-ground lightning (20200603_082539, denoted F20065) of *.cihx and *.avi can be opened by Photron Camera Control software (Photron Fastcam Viewer) that can be download from this link: https://photron.com/photron-support/ In addition, MATLAB can open the *.mat file (electric field change data), and Microsoft Excel can open the *.xlsx file (Guangdong-Hong Kong-Macao Lightning Location data (20200603082523-20200603082556). The data can be used freely for scientific purposes with the appropriate citation.
DOI: 10.5281/zenodo.8368857
title: High-speed video observations of needles evolving into negative leaders in a positive cloud-to-ground lightning flash

description: The data supports the manuscript entitled “<strong>High-speed video observations of needles evolving into negative leaders in a positive cloud-to-ground lightning flash</strong>”. The high-speed video data files of the positive cloud-to-ground lightning (20200603_082539, denoted F20065) of *.cihx and *.avi can be opened by Photron Camera Control software (Photron Fastcam Viewer) that can be download from this link: https://photron.com/photron-support/ In addition, MATLAB can open the *.mat file (electric field change data), and Microsoft Excel can open the *.xlsx file (Guangdong-Hong Kong-Macao Lightning Location data (20200603082523-20200603082556). The data can be used freely for scientific purposes with the appropriate citation.
DOI: 10.6084/m9.figshare.24185829
title: Supplemental tables for The Impact of Physical Activity on Thyroid Health: Insights from Representative Data in Korea

description: Supplemental tables for The Impact of Physical Activity on Thyroid Health: Insights from Representative Data in Korea
DOI: 10.6084/m9.figshare.24185829.v1
title: Supplemental tables for The Impact of Physical Activity on Thyroid Health: Insights from Representative Data in Korea

description: Supplemental tables for The Impact of Physical Activity on Thyroid Health: Insights from Representative Data in Korea
DOI: 10.15468/xy6czg
title: Shorefishes of the Tropical Eastern Pacific: online information system: Coiba: Fishes Checklist

description: Mobilized species checklist from the Shorefishes of the Tropical Easter Pacific, specifically the confirmed (species collected within the park boundaries) species list from Coiba National Park
DOI: 10.34740/kaggle/dsv/6521859
title: BBC News
DOI: 10.15472/bdvxd4
title: Captura y almacenamiento de carbono en el arbolado del Jardín Botánico de Bogotá José Celestino Mutis

description: Con el fin de realizar una valoración integral de la captura de carbono en el Jardín Botánico de Bogotá José Celestino Mutis, se realizaron estimaciones de biomasa aérea, carbono almacenado y capturado anualmente y, CO2eq (CO2 equivalente) removido de la atmósfera por parte del arbolado de las Colecciones Vivas de la sede principal del Jardín Botánico. Estas estimaciones fueron realizadas hasta el año 2022 y estuvieron basadas en mediciones parciales aleatorias en 2022 y en la base de datos del inventario total de las Colecciones Vivas del JBB, incluyendo un total de 3232 árboles en los cálculos, los cuales están distribuidos en 161 especies, siendo equivalentes al 58.5% de la vegetación total del Jardín.
description: Este set de datos comprende los resultados obtenidos por cada especie evaluada dentro del marco del proyecto “valoración integral del balance entre emisiones y almacenamiento de carbono en el Jardín Botánico de Bogotá con la perspectiva de carbono neutralidad”. Se implementaron dos metodologías comparativas, la primera basada en el protocolo para la estimación nacional y subnacional de biomasa-Carbono en Colombia mediante el uso de ecuaciones alométricas basadas en las variables DAP, altura y densidad de madera. La segunda metodología incluye el procesamiento de la información en el software I-Tree ECO versión 6. En este set de datos se encontrarán los resultados obtenidos por especie según la captura anual de carbono y remoción anual de CO2eq, almacenamiento total de carbono y remoción total de CO2eq. De igual forma se encuentra el promedio de cada uno de estos por árbol de cada especie, todo esto según la metodología 1 y 2.
DOI: 10.34740/kaggle/dsv/6521884
title: Youtube Trending Video - Taiwan & Hong Kong