cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5941098
title: Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop

description: Supplemental code and dataset for the ACM CHI 2021 paper on "Proxemics and Social Interactions in an Instrumented Virtual Reality Workshop". In this research paper we instrumented Mozilla Hubs Cloud to record where participants were during the event. From there, we measured proxemic and plotted the activity along with some semi-structured interviews. Updates to the Hubs logger can be found in the repository.
DOI: 10.3886/e160221
title: Instructional Supports for Motivation Trajectories in Introductory College Engineering

description: Students, instructors, and policy makers are in need of research-based recommendations for supporting students’ motivation to pursue STEM fields. The present study addressed this need by examining relations between perceived motivational supports, year-long trajectories of expectancy for success and three task values, and grades among students (N = 1,021) in a large, gateway engineering course. Results indicated that students with higher motivation at the beginning of the year tended to perceive their class as more motivationally supportive. Controlling for relations between initial motivation and perceptions, perceived instructional supports for mastery goals, autonomy, and competence predicted more positive trajectories of all three task values. Conversely, higher perceived instructor performance goals negatively predicted grades and the slopes of self-efficacy and interest value. Results contribute key understanding about the interconnectedness of individual motivation and climate perceptions, while indicating the importance students place on certain motivationally supportive practices in promoting students’ STEM motivation trajectories.
DOI: 10.3886/e160221v1
title: Instructional Supports for Motivation Trajectories in Introductory College Engineering

description: Students, instructors, and policy makers are in need of research-based recommendations for supporting students’ motivation to pursue STEM fields. The present study addressed this need by examining relations between perceived motivational supports, year-long trajectories of expectancy for success and three task values, and grades among students (N = 1,021) in a large, gateway engineering course. Results indicated that students with higher motivation at the beginning of the year tended to perceive their class as more motivationally supportive. Controlling for relations between initial motivation and perceptions, perceived instructional supports for mastery goals, autonomy, and competence predicted more positive trajectories of all three task values. Conversely, higher perceived instructor performance goals negatively predicted grades and the slopes of self-efficacy and interest value. Results contribute key understanding about the interconnectedness of individual motivation and climate perceptions, while indicating the importance students place on certain motivationally supportive practices in promoting students’ STEM motivation trajectories.
DOI: 10.5281/zenodo.5948869
title: Arius mastersi RB0482 ARBOR spades

description: Arius mastersi RB0482 ARBOR spades
DOI: 10.5281/zenodo.5948868
title: Arius mastersi RB0482 ARBOR spades

description: Arius mastersi RB0482 ARBOR spades
DOI: 10.25505/fiz.icsd.cc24f65z
title: CSD 1978890: Experimental Crystal Structure Determination

description: Related Article: Elias Tanuhadi, Emir Al-Sayed, Ghenadie Novitchi, Alexander Roller, Gerald Giester, Annette Rompel|2020|Inorg.Chem.|59|8461|doi:10.1021/acs.inorgchem.0c00890
DOI: 10.25505/fiz.icsd.cc24f671
title: CSD 1978892: Experimental Crystal Structure Determination

description: Related Article: Elias Tanuhadi, Emir Al-Sayed, Ghenadie Novitchi, Alexander Roller, Gerald Giester, Annette Rompel|2020|Inorg.Chem.|59|8461|doi:10.1021/acs.inorgchem.0c00890
DOI: 10.25505/fiz.icsd.cc24f682
title: CSD 1978893: Experimental Crystal Structure Determination

description: Related Article: Elias Tanuhadi, Emir Al-Sayed, Ghenadie Novitchi, Alexander Roller, Gerald Giester, Annette Rompel|2020|Inorg.Chem.|59|8461|doi:10.1021/acs.inorgchem.0c00890
DOI: 10.25505/fiz.icsd.cc24f6b4
title: CSD 1978895: Experimental Crystal Structure Determination

description: Related Article: Elias Tanuhadi, Emir Al-Sayed, Ghenadie Novitchi, Alexander Roller, Gerald Giester, Annette Rompel|2020|Inorg.Chem.|59|8461|doi:10.1021/acs.inorgchem.0c00890
DOI: 10.25505/fiz.icsd.cc24f6f7
title: CSD 1978898: Experimental Crystal Structure Determination

description: Related Article: Elias Tanuhadi, Emir Al-Sayed, Ghenadie Novitchi, Alexander Roller, Gerald Giester, Annette Rompel|2020|Inorg.Chem.|59|8461|doi:10.1021/acs.inorgchem.0c00890
DOI: 10.25505/fiz.icsd.cc24f6g8
title: CSD 1978899: Experimental Crystal Structure Determination

description: Related Article: Elias Tanuhadi, Emir Al-Sayed, Ghenadie Novitchi, Alexander Roller, Gerald Giester, Annette Rompel|2020|Inorg.Chem.|59|8461|doi:10.1021/acs.inorgchem.0c00890
DOI: 10.25505/fiz.icsd.cc24dz4p
title: CSD 1978672: Experimental Crystal Structure Determination

description: Related Article: Gizem Dübek, Franziska Hanusch, Dominik Munz, Shigeyoshi Inoue|2020|Angew.Chem.,Int.Ed.|59|5823|doi:10.1002/anie.201916116
description: Related Article: Xiao-Hui Li, Yi-Ting Chen, Huaiguo Xue, Sheng-Ping Guo|2020|Inorg.Chem.|59|5823|doi:10.1021/acs.inorgchem.0c00639
DOI: 10.5517/ccdc.csd.cc24fb20
title: CCDC 1979011: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc24fb31
title: CCDC 1979012: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc20fhts
title: CCDC 1860025: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc24fb42
title: CCDC 1979013: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc24fb53
title: CCDC 1979014: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc24fb64
title: CCDC 1979015: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc24fb75
title: CCDC 1979016: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc20fj22
title: CCDC 1860033: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc24fb86
title: CCDC 1979017: Experimental Crystal Structure Determination

description: Related Article: Peng-Fei Cui,  Yue-Jian Lin,  Zhen-Hua Li,  Guo-Xin Jin|2020|J.Am.Chem.Soc.|142|8532|doi:10.1021/jacs.0c03176
DOI: 10.5517/ccdc.csd.cc21wsmc
title: CCDC 1903543: Experimental Crystal Structure Determination

description: Related Article: Avijit Maiti, Jessica Stubbe, Nicolás I. Neuman, Pankaj Kalita, Prakash Duari, Carola Schulzke, Vadapalli Chandrasekhar, Biprajit Sarkar, Anukul Jana|2020|Angew.Chem.,Int.Ed.|59|6729|doi:10.1002/anie.201915802
DOI: 10.25505/fiz.icsd.cc227b7x
title: CSD 1913668: Experimental Crystal Structure Determination

description: Related Article: Nadiia I. Gumerova, Alexander Roller, Gerald Giester, J. Krzystek, Joan Cano, Annette Rompel|2020|J.Am.Chem.Soc.|142|3336|doi:10.1021/jacs.9b12797
DOI: 10.5517/ccdc.csd.cc21wsk9
title: CCDC 1903541: Experimental Crystal Structure Determination

description: Related Article: Avijit Maiti, Jessica Stubbe, Nicolás I. Neuman, Pankaj Kalita, Prakash Duari, Carola Schulzke, Vadapalli Chandrasekhar, Biprajit Sarkar, Anukul Jana|2020|Angew.Chem.,Int.Ed.|59|6729|doi:10.1002/anie.201915802
DOI: 10.25505/fiz.icsd.cc24fdbb
title: CSD 1979081: Experimental Crystal Structure Determination

description: Related Article: Mateusz Dembowski, Micah P. Prange, Maxime Pouvreau, Trent R. Graham, Mark E. Bowden, Alpha N'Diaye, Gregory K. Schenter, Sue B. Clark, Aurora E. Clark, Kevin M. Rosso, Carolyn I. Pearce|2020|Dalton Trans.|49|5869|doi:10.1039/D0DT00229A
DOI: 10.25505/fiz.icsd.cc24fdcc
title: CSD 1979082: Experimental Crystal Structure Determination

description: Related Article: Mateusz Dembowski, Micah P. Prange, Maxime Pouvreau, Trent R. Graham, Mark E. Bowden, Alpha N'Diaye, Gregory K. Schenter, Sue B. Clark, Aurora E. Clark, Kevin M. Rosso, Carolyn I. Pearce|2020|Dalton Trans.|49|5869|doi:10.1039/D0DT00229A
DOI: 10.25505/fiz.icsd.cc24fddd
title: CSD 1979083: Experimental Crystal Structure Determination

description: Related Article: Mateusz Dembowski, Micah P. Prange, Maxime Pouvreau, Trent R. Graham, Mark E. Bowden, Alpha N'Diaye, Gregory K. Schenter, Sue B. Clark, Aurora E. Clark, Kevin M. Rosso, Carolyn I. Pearce|2020|Dalton Trans.|49|5869|doi:10.1039/D0DT00229A
DOI: 10.25505/fiz.icsd.cc24fg79
title: CSD 1979140: Experimental Crystal Structure Determination

description: Related Article: Dmitry S. Shtarev, Ruslan Kevorkyants, Maxim S. Molokeev, Anna V. Shtareva|2020|Inorg.Chem.|59|8173|doi:10.1021/acs.inorgchem.0c00486
DOI: 10.25505/fiz.icsd.cc24ff56
title: CSD 1979107: Experimental Crystal Structure Determination

description: Related Article: Shu Guo,  Ruidan Zhong,  Wei Wang,  Jing Tao,  Danrui Ni,  R. J. Cava|2020|J.Am.Chem.Soc.|142|5389|doi:10.1021/jacs.0c00849
DOI: 10.25505/fiz.icsd.cc24fg8b
title: CSD 1979141: Experimental Crystal Structure Determination

description: Related Article: Dmitry S. Shtarev, Ruslan Kevorkyants, Maxim S. Molokeev, Anna V. Shtareva|2020|Inorg.Chem.|59|8173|doi:10.1021/acs.inorgchem.0c00486
DOI: 10.25505/fiz.icsd.cc24fhrv
title: CSD 1979187: Experimental Crystal Structure Determination

description: Related Article: Shu Guo,  Ruidan Zhong,  Wei Wang,  Jing Tao,  Danrui Ni,  R. J. Cava|2020|J.Am.Chem.Soc.|142|5389|doi:10.1021/jacs.0c00849
DOI: 10.25505/fiz.icsd.cc24ffcd
title: CSD 1979113: Experimental Crystal Structure Determination

description: Related Article: Shu Guo,  Ruidan Zhong,  Wei Wang,  Jing Tao,  Danrui Ni,  R. J. Cava|2020|J.Am.Chem.Soc.|142|5389|doi:10.1021/jacs.0c00849
DOI: 10.25505/fiz.icsd.cc24fgkm
title: CSD 1979150: Experimental Crystal Structure Determination

description: Related Article: Tassilo M. F. Restle, Jasmin V. Dums, Gabriele Raudaschl-Sieber, Thomas F. Fässler|2020|Chem.-Eur.J.|26|6812|doi:10.1002/chem.202000482
DOI: 10.25505/fiz.icsd.cc24fgln
title: CSD 1979151: Experimental Crystal Structure Determination

description: Related Article: Tassilo M. F. Restle, Jasmin V. Dums, Gabriele Raudaschl-Sieber, Thomas F. Fässler|2020|Chem.-Eur.J.|26|6812|doi:10.1002/chem.202000482
DOI: 10.25505/fiz.icsd.cc24fkv0
title: CSD 1979252: Experimental Crystal Structure Determination

description: Related Article: Jason F. Khoury, Alexander J. E. Rettie, Iñigo Robredo, Matthew J. Krogstad, Christos D. Malliakas, Aitor Bergara, Maia G. Vergniory, Raymond Osborn, Stephan Rosenkranz, Duck Young Chung, Mercouri G. Kanatzidis|2020|J.Am.Chem.Soc.|142|6312|doi:10.1021/jacs.0c00809
DOI: 10.25505/fiz.icsd.cc24fkx2
title: CSD 1979254: Experimental Crystal Structure Determination

description: Related Article: Jason F. Khoury, Alexander J. E. Rettie, Iñigo Robredo, Matthew J. Krogstad, Christos D. Malliakas, Aitor Bergara, Maia G. Vergniory, Raymond Osborn, Stephan Rosenkranz, Duck Young Chung, Mercouri G. Kanatzidis|2020|J.Am.Chem.Soc.|142|6312|doi:10.1021/jacs.0c00809
DOI: 10.25505/fiz.icsd.cc24fkz4
title: CSD 1979256: Experimental Crystal Structure Determination

description: Related Article: Jason F. Khoury, Alexander J. E. Rettie, Iñigo Robredo, Matthew J. Krogstad, Christos D. Malliakas, Aitor Bergara, Maia G. Vergniory, Raymond Osborn, Stephan Rosenkranz, Duck Young Chung, Mercouri G. Kanatzidis|2020|J.Am.Chem.Soc.|142|6312|doi:10.1021/jacs.0c00809
DOI: 10.5517/ccdc.csd.cc24fvxc
title: CCDC 1979533: Experimental Crystal Structure Determination

description: Related Article: Yun-Tong Li, Jian-Wei Zhang, Hong-Juan Lv, Man-Cheng Hu, Shu-Ni Li, Yu-Cheng Jiang, Quan-Guo Zhai|2020|Inorg.Chem.|59|10368|doi:10.1021/acs.inorgchem.0c01551
description: Related Article: Thangavel Vijayakanth, Farsa Ram, Balu Praveenkumar, Kadhiravan Shanmuganathan, Ramamoorthy Boomishankar|2020|Angew.Chem.,Int.Ed.|59|10368|doi:10.1002/anie.202001250
DOI: 10.5517/ccdc.csd.cc24fvyd
title: CCDC 1979534: Experimental Crystal Structure Determination

description: Related Article: Yun-Tong Li, Jian-Wei Zhang, Hong-Juan Lv, Man-Cheng Hu, Shu-Ni Li, Yu-Cheng Jiang, Quan-Guo Zhai|2020|Inorg.Chem.|59|10368|doi:10.1021/acs.inorgchem.0c01551
description: Related Article: Thangavel Vijayakanth, Farsa Ram, Balu Praveenkumar, Kadhiravan Shanmuganathan, Ramamoorthy Boomishankar|2020|Angew.Chem.,Int.Ed.|59|10368|doi:10.1002/anie.202001250
DOI: 10.25505/fiz.icsd.cc24g1f3
title: CSD 1979704: Experimental Crystal Structure Determination

description: Related Article: Fenghua Ding,  Kent J. Griffith,  Can P. Koçer,  Richard J. Saballos,  Yiran Wang,  Chi Zhang,  Matthew L. Nisbet,  Andrew J. Morris,  James M. Rondinelli,  Kenneth R. Poeppelmeier|2020|J.Am.Chem.Soc.|142|12288|doi:10.1021/jacs.0c04019
DOI: 10.6084/m9.figshare.19107944
title: Source Data from Kirschner, Perez et al. 2022: Congruent evolutionary responses of European steppe biota to late Quaternary climate change: insights from convolutional neural network-based demographic modeling

description: <b>Source Data </b>for Figure 2, Supplementary Figures 1,2,3 from Kirschner&Perez et al. 2022: Congruent evolutionary responses of European steppe biota to late Quaternary climate change: insights from convolutional neural network-based demographic modelingDOI: 10.21203/rs.3.rs-534143/v1
DOI: 10.6084/m9.figshare.19107944.v1
title: Source Data from Kirschner, Perez et al. 2022: Congruent evolutionary responses of European steppe biota to late Quaternary climate change: insights from convolutional neural network-based demographic modeling

description: <b>Source Data </b>for Figure 2, Supplementary Figures 1,2,3 from Kirschner&Perez et al. 2022: Congruent evolutionary responses of European steppe biota to late Quaternary climate change: insights from convolutional neural network-based demographic modelingDOI: 10.21203/rs.3.rs-534143/v1
DOI: 10.25318/1310083501-fra
title: Insécurité alimentaire selon le groupe d'âge et le sexe

description: Nombre et pourcentage de personnes selon le niveau de sécurité alimentaire du ménage, le groupe d'âge et le sexe, Canada et provinces.
DOI: 10.5286/isis.e.rb2210373
title: Finite size effects on Weyl semimetal NdSiAl

description: In recent years exotic relativistic quasiparticles have been found to exist in the band structure of different materials, like Dirac fermions in graphene, or topological insulating states in topological insulators. Recently it was shown for first time that one of such band configurations to have an effect on a collective property like the magnetism. In NdAlSi, it was reported that the existence of Weyl nodes was in the root of a magnetic helical ordering. The objective of this experiment is to test the effect of size reduction in such helical order. This experiment will shed light into the effect of electronic confinement in the relativistic quasiparticles.
DOI: 10.5286/isis.e.rb2210373-1
title: Finite size effects on Weyl semimetal NdSiAl

description: In recent years exotic relativistic quasiparticles have been found to exist in the band structure of different materials, like Dirac fermions in graphene, or topological insulating states in topological insulators. Recently it was shown for first time that one of such band configurations to have an effect on a collective property like the magnetism. In NdAlSi, it was reported that the existence of Weyl nodes was in the root of a magnetic helical ordering. The objective of this experiment is to test the effect of size reduction in such helical order. This experiment will shed light into the effect of electronic confinement in the relativistic quasiparticles.
DOI: 10.25318/1310083501-eng
title: Food insecurity by age group and sex

description: Number and percentage of persons by household food security status, age group and sex, Canada and provinces.
DOI: 10.5281/zenodo.5948901
title: Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes

description: De Maria M, Fabrizi D, Luciani M, Caruso R, Di Mauro S, Riegel B, Barbaranelli C, Ausili D. Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes. Ann Behav Med. 2021 Sep 24:kaab088. doi: 10.1093/abm/kaab088. Epub ahead of print. PMID: 34559189. Abstract <strong>Background: </strong>The Self-care of Diabetes Inventory (SCODI) is a theory-based tool that measures self-care, a key strategy in the appropriate treatment of diabetes. However, despite the clinical differences between people with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM), the psychometric properties of the SCODI were only tested in mixed samples. <strong>Purpose: </strong>This study aims to test the psychometric performances of the SCODI in two separate groups of adults with T1DM and T2DM. <strong>Methods: </strong>This is a secondary analysis from two previous multicentre cross-sectional observational studies involving patients with T1DM (n = 181) and T2DM (n = 540). We tested dimensionality with confirmatory factor analysis and reliability with a multidimensional model-based coefficient for every scale of the SCODI: self-care maintenance, self-care monitoring, self-care management, and self-care self-efficacy. <strong>Results: </strong>We found that the SCODI showed the same dimensionality, with minimal variation in factor loadings for each factor and each scale among T1DM and T2DM groups. High reliability for each scale in both groups was also found (self-care maintenance: T1DM = 0.86, T2DM = 0.83; self-care monitoring: T1DM = 0.84, T2DM = 1.00; self-care management: T1DM = 0.87, T2DM = 0.86; self-care self-efficacy: T1DM = 0.88; T2DM = 0.86). <strong>Conclusion: </strong>The SCODI can be used for measuring self-care in people with T1DM, T2DM, or mixed groups using identical scoring procedures. Considering the well-known differences between Type 1 and Type 2 diabetes diseases and patients' characteristics, our results support the generalizability of the self-care theory on which the instrument is based.
DOI: 10.5281/zenodo.5948900
title: Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes

description: De Maria M, Fabrizi D, Luciani M, Caruso R, Di Mauro S, Riegel B, Barbaranelli C, Ausili D. Further Evidence of Psychometric Performance of the Self-care of Diabetes Inventory in Adults With Type 1 and Type 2 Diabetes. Ann Behav Med. 2021 Sep 24:kaab088. doi: 10.1093/abm/kaab088. Epub ahead of print. PMID: 34559189. Abstract <strong>Background: </strong>The Self-care of Diabetes Inventory (SCODI) is a theory-based tool that measures self-care, a key strategy in the appropriate treatment of diabetes. However, despite the clinical differences between people with Type 1 Diabetes Mellitus (T1DM) and Type 2 Diabetes Mellitus (T2DM), the psychometric properties of the SCODI were only tested in mixed samples. <strong>Purpose: </strong>This study aims to test the psychometric performances of the SCODI in two separate groups of adults with T1DM and T2DM. <strong>Methods: </strong>This is a secondary analysis from two previous multicentre cross-sectional observational studies involving patients with T1DM (n = 181) and T2DM (n = 540). We tested dimensionality with confirmatory factor analysis and reliability with a multidimensional model-based coefficient for every scale of the SCODI: self-care maintenance, self-care monitoring, self-care management, and self-care self-efficacy. <strong>Results: </strong>We found that the SCODI showed the same dimensionality, with minimal variation in factor loadings for each factor and each scale among T1DM and T2DM groups. High reliability for each scale in both groups was also found (self-care maintenance: T1DM = 0.86, T2DM = 0.83; self-care monitoring: T1DM = 0.84, T2DM = 1.00; self-care management: T1DM = 0.87, T2DM = 0.86; self-care self-efficacy: T1DM = 0.88; T2DM = 0.86). <strong>Conclusion: </strong>The SCODI can be used for measuring self-care in people with T1DM, T2DM, or mixed groups using identical scoring procedures. Considering the well-known differences between Type 1 and Type 2 diabetes diseases and patients' characteristics, our results support the generalizability of the self-care theory on which the instrument is based.
DOI: 10.25318/1310083601-fra
title: Besoins insatisfaits en matière de soins de santé selon le sexe et le groupe d’âge

description: Nombre et pourcentage de personnes âgées de 16 ans et plus ayant des besoins insatisfaits en matière de soins de santé selon le sexe (Canada et provinces) et le groupe d'âge (Canada seulement).
DOI: 10.5281/zenodo.5948877
title: Task-Informed Meta-Learning data

description: Data accompanying the Task-Informed Meta-Learning codebase (https://github.com/nasaharvest/timl)
DOI: 10.6084/m9.figshare.19108070
title: Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm

description: This is the experimental data of the manuscript entitled “Scenario-Based Robust Remanufacturing Scheduling Problem Using Improved Biogeography-Based Optimization Algorithm ”. All data are generated through computer simulation and saved in the file with csv format. The first folder "1.SRRSP benchmark problem instances" includes 21SRRSP benchmark problem instances, the second folder "2.Additional data used to verify the practicability of considering multiple scenarios" contains the addition data required to demonstrate the practicability of considering multiple scenarios, the third folder "3.Additional data used to verify the practicability of variable start-up batch size constraint" contains the the addition data required to demonstrate the practicability of variable start-up batch size constraint. These datasets show the number of scenarios, the number of remanufacturing jobs, the number of operations for each job, the number of remanufacturing machines, the maximum batch size of batch processing machines, and the minimum batch size of batch processing machines. The value of variance factor, the probability of the occurrence of each scenario, the index of the batch processing machine, the index of the batch processing operation, the arrival time of each remanufacturing job, the set of machines available for each operation, and the processing time of each operation on the available machines are also shown in the datasets. And the fourth folder "4.The standard for generating the arrival time and processing time of EOL products in each scenario in each instances" contains the standard used to generate the arrival time and processing time of EOL products in each scenario in each instances.
DOI: 10.6084/m9.figshare.16886437
title: Karrikin synthesis data

description: NMR data for all new compounds in manuscript