cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4269901
title: Augmented emission maps: 999 cc 45 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 999 cc 45 kW Euro 3 petrol engine that has been applied in the Hyundai. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269900
title: Augmented emission maps: 999 cc 45 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 999 cc 45 kW Euro 3 petrol engine that has been applied in the Hyundai. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.6084/m9.figshare.12934913
title: SNPs dataset for population structure analysis in inbred lines of maize from Brazilian germplasm.

description: SNPs dataset for population structure analysis in inbred lines of maize from Brazilian germplasm.
DOI: 10.5281/zenodo.4269911
title: MRI radiomics-based machine-learning classification of bone chondrosarcoma

description: <strong>Purpose: </strong>To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI). <strong>Methods: </strong>We retrospectively enrolled 58 patients with histologically-proven low-grade/atypical cartilaginous tumor of the appendicular skeleton (n = 26) or higher-grade chondrosarcoma (n = 32, including 16 appendicular and 16 axial lesions). They were randomly divided into training (n = 42) and test (n = 16) groups for model tuning and testing, respectively. All tumors were manually segmented on T1-weighted and T2-weighted images by drawing bidimensional regions of interest, which were used for first order and texture feature extraction. A Random Forest wrapper was employed for feature selection. The resulting dataset was used to train a locally weighted ensemble classifier (AdaboostM1). Its performance was assessed via 10-fold cross-validation on the training data and then on the previously unseen test set. Thereafter, an experienced musculoskeletal radiologist blinded to histological and radiomic data qualitatively evaluated the cartilaginous tumors in the test group. <strong>Results: </strong>After feature selection, the dataset was reduced to 4 features extracted from T1-weighted images. AdaboostM1 correctly classified 85.7 % and 75 % of the lesions in the training and test groups, respectively. The corresponding areas under the receiver operating characteristic curve were 0.85 and 0.78. The radiologist correctly graded 81.3 % of the lesions. There was no significant difference in performance between the radiologist and machine learning classifier (P = 0.453). <strong>Conclusions: </strong>Our machine learning approach showed good diagnostic performance for classification of low-to-high grade cartilaginous bone tumors and could prove a valuable aid in preoperative tumor characterization.
DOI: 10.5281/zenodo.4269910
title: MRI radiomics-based machine-learning classification of bone chondrosarcoma

description: <strong>Purpose: </strong>To evaluate the diagnostic performance of machine learning for discrimination between low-grade and high-grade cartilaginous bone tumors based on radiomic parameters extracted from unenhanced magnetic resonance imaging (MRI). <strong>Methods: </strong>We retrospectively enrolled 58 patients with histologically-proven low-grade/atypical cartilaginous tumor of the appendicular skeleton (n = 26) or higher-grade chondrosarcoma (n = 32, including 16 appendicular and 16 axial lesions). They were randomly divided into training (n = 42) and test (n = 16) groups for model tuning and testing, respectively. All tumors were manually segmented on T1-weighted and T2-weighted images by drawing bidimensional regions of interest, which were used for first order and texture feature extraction. A Random Forest wrapper was employed for feature selection. The resulting dataset was used to train a locally weighted ensemble classifier (AdaboostM1). Its performance was assessed via 10-fold cross-validation on the training data and then on the previously unseen test set. Thereafter, an experienced musculoskeletal radiologist blinded to histological and radiomic data qualitatively evaluated the cartilaginous tumors in the test group. <strong>Results: </strong>After feature selection, the dataset was reduced to 4 features extracted from T1-weighted images. AdaboostM1 correctly classified 85.7 % and 75 % of the lesions in the training and test groups, respectively. The corresponding areas under the receiver operating characteristic curve were 0.85 and 0.78. The radiologist correctly graded 81.3 % of the lesions. There was no significant difference in performance between the radiologist and machine learning classifier (P = 0.453). <strong>Conclusions: </strong>Our machine learning approach showed good diagnostic performance for classification of low-to-high grade cartilaginous bone tumors and could prove a valuable aid in preoperative tumor characterization.
DOI: 10.5281/zenodo.3628674
title: Dataset 'Yeast facilitates the multiplication of Drosophila bacterial symbionts but has no effect on the form or parameters of Taylor's law'

description: Dataset from the manuscript 'Yeast facilitates the multiplication of <em>Drosophila </em>bacterial symbionts but has no effect on the form or parameters of Taylor’s law' (2020) Each line corresponds to a single experimental unit.
DOI: 10.5281/zenodo.3628673
title: Dataset 'Yeast facilitates the multiplication of Drosophila bacterial symbionts but has no effect on the form or parameters of Taylor's law'

description: Dataset from the manuscript 'Yeast facilitates the multiplication of <em>Drosophila </em>bacterial symbionts but has no effect on the form or parameters of Taylor’s law' (2020) Each line corresponds to a single experimental unit.
DOI: 10.5281/zenodo.4269909
title: Augmented emission maps: 1124 cc 44 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 11124 cc 44 kW Euro 3 petrol engine that has been applied in the Peugeot 106, 206, and Partner. Citroen Saxo, C2, C3, and Berlingo. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269908
title: Augmented emission maps: 1124 cc 44 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 11124 cc 44 kW Euro 3 petrol engine that has been applied in the Peugeot 106, 206, and Partner. Citroen Saxo, C2, C3, and Berlingo. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269918
title: Superb microvascular imaging (SMI) in the evaluation of musculoskeletal disorders: a systematic review

description: <strong>Objectives: </strong>To systematically review the current literature concerning the role of superb microvascular imaging (SMI), a novel Doppler technique that enables detection of fine vessels and slow blood flow, in the evaluation of musculoskeletal disorders. <strong>Methods: </strong>An online search of the literature was conducted for the period 2013 to April 2019 and included original articles written in English language. A data analysis was performed at the end of the literature search. <strong>Results: </strong>Eight original articles with prospective design and one with retrospective design were included in this review: 4 studies focused on rheumatoid arthritis, 2 on rheumatoid and other arthritides, 1 on lateral epicondylosis and 2 on carpal tunnel syndrome. Sample size ranged from 26 to 83 patients. Despite some methodological differences, all studies compared the performance of SMI with that of a conventional Doppler technique such as power and color Doppler and found an improvement in vascularity detection with SMI. The main variations were in sample size, evaluated parameters and vascularity interpretation methods. Inter-observer agreement for SMI ranged from moderate to excellent. <strong>Conclusions: </strong>SMI is a promising tool for the diagnosis and treatment planning of different musculoskeletal disorders. Future investigations should include larger samples of patients with long-term follow-up.
DOI: 10.5281/zenodo.4269917
title: Superb microvascular imaging (SMI) in the evaluation of musculoskeletal disorders: a systematic review

description: <strong>Objectives: </strong>To systematically review the current literature concerning the role of superb microvascular imaging (SMI), a novel Doppler technique that enables detection of fine vessels and slow blood flow, in the evaluation of musculoskeletal disorders. <strong>Methods: </strong>An online search of the literature was conducted for the period 2013 to April 2019 and included original articles written in English language. A data analysis was performed at the end of the literature search. <strong>Results: </strong>Eight original articles with prospective design and one with retrospective design were included in this review: 4 studies focused on rheumatoid arthritis, 2 on rheumatoid and other arthritides, 1 on lateral epicondylosis and 2 on carpal tunnel syndrome. Sample size ranged from 26 to 83 patients. Despite some methodological differences, all studies compared the performance of SMI with that of a conventional Doppler technique such as power and color Doppler and found an improvement in vascularity detection with SMI. The main variations were in sample size, evaluated parameters and vascularity interpretation methods. Inter-observer agreement for SMI ranged from moderate to excellent. <strong>Conclusions: </strong>SMI is a promising tool for the diagnosis and treatment planning of different musculoskeletal disorders. Future investigations should include larger samples of patients with long-term follow-up.
DOI: 10.5281/zenodo.4269925
title: Well-being and Productivity of Software Professionals during a Pandemic

description: The COVID-19 pandemic has forced governments worldwide to impose movement restrictions on their citizens. Although critical to reducing the virus' reproduction rate, these restrictions come with far-reaching social and economic consequences. In this paper, we investigate the impact of these restrictions on an individual level among software engineers currently working from home. Although software professionals are accustomed to working with digital tools in their day-to-day work, the abrupt and enforced work-from-home context has resulted in an unprecedented scenario for the software engineering community. In a two-wave longitudinal study (N = 192), we covered over 50 psychological, social, situational, and physiological factors that have previously been associated with well-being or productivity. Examples include anxiety, distractions, psychological and physical needs, office set-up, stress, and work motivation. This design allowed us to identify those variables that explain unique variance in well-being and productivity. Results include (1) the quality of social contacts predicted positively, and stress predicted an individual's well-being negatively when controlling for other variables consistently across both waves; (2) boredom and distractions predicted productivity negatively; (3) productivity was less strongly associated with all predictor variables at time two compared to time one, suggesting that software engineers adapted to the lockdown situation over time; and (4) the longitudinal study did not provide evidence that any predictor variable causal explained variance in well-being and productivity. Overall, we conclude that working from home was <em>per se</em> not a significant challenge for software engineers. Our study can assess the effectiveness of current work-from-home and general well-being and productivity support guidelines and provide tailored insights for software professionals.
DOI: 10.5281/zenodo.4269920
title: Augmented emission maps: 1587 cc 80 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1587 cc 80 kW Euro 3 petrol engine that has been applied in the Citroen Berlingo, C2, C3, C3 Pluriel, C4, and Xsara. Peugeot 206, 307, and Partner.<br> NB: this is only the PSA cars. The Volvos have alliance code VOLV and have a different engine. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269919
title: Augmented emission maps: 1587 cc 80 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1587 cc 80 kW Euro 3 petrol engine that has been applied in the Citroen Berlingo, C2, C3, C3 Pluriel, C4, and Xsara. Peugeot 206, 307, and Partner.<br> NB: this is only the PSA cars. The Volvos have alliance code VOLV and have a different engine. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269938
title: Well-being and Productivity of Software Professionals during a Pandemic

description: The COVID-19 pandemic has forced governments worldwide to impose movement restrictions on their citizens. Although critical to reducing the virus' reproduction rate, these restrictions come with far-reaching social and economic consequences. In this paper, we investigate the impact of these restrictions on an individual level among software engineers currently working from home. Although software professionals are accustomed to working with digital tools in their day-to-day work, the abrupt and enforced work-from-home context has resulted in an unprecedented scenario for the software engineering community. In a two-wave longitudinal study (N = 192), we covered over 50 psychological, social, situational, and physiological factors that have previously been associated with well-being or productivity. Examples include anxiety, distractions, psychological and physical needs, office set-up, stress, and work motivation. This design allowed us to identify those variables that explain unique variance in well-being and productivity. Results include (1) the quality of social contacts predicted positively, and stress predicted an individual's well-being negatively when controlling for other variables consistently across both waves; (2) boredom and distractions predicted productivity negatively; (3) productivity was less strongly associated with all predictor variables at time two compared to time one, suggesting that software engineers adapted to the lockdown situation over time; and (4) the longitudinal study did not provide evidence that any predictor variable causal explained variance in well-being and productivity. Overall, we conclude that working from home was <em>per se</em> not a significant challenge for software engineers. Our study can assess the effectiveness of current work-from-home and general well-being and productivity support guidelines and provide tailored insights for software professionals.
DOI: 10.5281/zenodo.4269941
title: Meniscus Matrix Remodeling in Response to Compressive Forces in Dogs

description: Joint motion and postnatal stress of weight bearing are the principal factors that determine the phenotypical and architectural changes that characterize the maturation process of the meniscus. In this study, the effect of compressive forces on the meniscus will be evaluated in a litter of 12 Dobermann Pinschers, of approximately 2 months of age, euthanized as affected by the quadriceps contracture muscle syndrome of a single limb focusing on extracellular matrix remodeling and cell-extracellular matrix interaction (i.e., meniscal cells maturation, collagen fibers typology and arrangement). The affected limbs were considered as models of continuous compression while the physiologic loaded limbs were considered as controls. The results of this study suggest that a compressive continuous force, applied to the native meniscal cells, triggers an early maturation of the cellular phenotype, at the expense of the proper organization of collagen fibers. Nevertheless, an application of a compressive force could be useful in the engineering process of meniscal tissue in order to induce a faster achievement of the mature cellular phenotype and, consequently, the earlier production of the fundamental extracellular matrix (ECM), in order to improve cellular viability and adhesion of the cells within a hypothetical synthetic scaffold.
DOI: 10.5281/zenodo.4269940
title: Meniscus Matrix Remodeling in Response to Compressive Forces in Dogs

description: Joint motion and postnatal stress of weight bearing are the principal factors that determine the phenotypical and architectural changes that characterize the maturation process of the meniscus. In this study, the effect of compressive forces on the meniscus will be evaluated in a litter of 12 Dobermann Pinschers, of approximately 2 months of age, euthanized as affected by the quadriceps contracture muscle syndrome of a single limb focusing on extracellular matrix remodeling and cell-extracellular matrix interaction (i.e., meniscal cells maturation, collagen fibers typology and arrangement). The affected limbs were considered as models of continuous compression while the physiologic loaded limbs were considered as controls. The results of this study suggest that a compressive continuous force, applied to the native meniscal cells, triggers an early maturation of the cellular phenotype, at the expense of the proper organization of collagen fibers. Nevertheless, an application of a compressive force could be useful in the engineering process of meniscal tissue in order to induce a faster achievement of the mature cellular phenotype and, consequently, the earlier production of the fundamental extracellular matrix (ECM), in order to improve cellular viability and adhesion of the cells within a hypothetical synthetic scaffold.
DOI: 10.5281/zenodo.4269935
title: Augmented emission maps: 1596 cc 74 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1596 cc 74 kW Euro 3 petrol engine that has been applied in the Ford. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.
DOI: 10.5281/zenodo.4269934
title: Augmented emission maps: 1596 cc 74 kW Euro 3 petrol engine

description: In order to enable the sharing of data the emission data for vehicles is standardized. The data exchange format contains all data that is applicable for a specific engine taxonomy code. This specific data set refers to the 1596 cc 74 kW Euro 3 petrol engine that has been applied in the Ford. The standardized emission map has a “.map.txt” extension and is also human readable. The files starts with metadata which contains information about: the engine taxonomy code, total driven kilometers over which the data was gathered, total time in hours over which the data was gathered, the number of vehicles which were tested to create the emission map, the DOI (Digital Object Identifier) reference, Which emission maps are available in the file. The DOI http://doi.org/10.5281/zenodo.4268034 refers to a updated meta-data document that provides the full description of the standardized emission map.