cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7429142
title: Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty

description: We provide test instances for robust combinatorial optimization under budget uncertainty that have been described and used for benchmarking in the paper "A Branch & Bound Algorithm for Robust Binary Optimization with Budget Uncertainty", published in Mathematical Programming Computation by Christina Büsing, Timo Gersing and Arie Koster.<br> The set primarily consists of nominal problems from the MIPLIB 2017 that have been converted into robust problems. Furthermore, we also provide instances of the robust knapsack problem. For algorithms solving these problems see: https://doi.org/10.5281/zenodo.7463371
DOI: 10.5281/zenodo.7646464
title: Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty

description: We provide test instances for robust combinatorial optimization with budget uncertainty in the objective function.<br> The set contains nominal problems from the MIPLIB 2017 that have been converted into robust problems and instances of the robust knapsack problem. Both problem sets have been described and used for benchmarking in the paper "A Branch & Bound Algorithm for Robust Binary Optimization with Budget Uncertainty", published in Mathematical Programming Computation by Christina Büsing, Timo Gersing and Arie Koster.<br> Furthermore, we provide instances for robust weighted matching on bipartite graphs and robust weighted independent set. The latter are based on graphs for the clique problem of the second DIMACS implementation challenge (1993). Both problem sets have been described and used for benchmarking in the paper "Recycling Inequalities for Robust Combinatorial Optimization with Budget Uncertainty", presented at IPCO 2023 by the same authors. For algorithms solving these problems see: https://doi.org/10.5281/zenodo.7463371
DOI: 10.5281/zenodo.7762957
title: Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty

description: We provide test instances for robust combinatorial optimization with budget uncertainty in the objective function.<br> The set contains nominal problems from the MIPLIB 2017 that have been converted into robust problems and instances of the robust knapsack problem. Both problem sets have been described and used for benchmarking in the paper "A Branch & Bound Algorithm for Robust Binary Optimization with Budget Uncertainty", published in Mathematical Programming Computation by Christina Büsing, Timo Gersing and Arie Koster.<br> Furthermore, we provide instances for robust weighted matching on bipartite graphs and robust weighted independent set. The latter are based on graphs for the clique problem of the second DIMACS implementation challenge (1993). Both problem sets have been described and used for benchmarking in the paper "Recycling Inequalities for Robust Combinatorial Optimization with Budget Uncertainty", presented at IPCO 2023 by the same authors. For algorithms solving these problems see: https://doi.org/10.5281/zenodo.7463371
DOI: 10.5281/zenodo.7763027
title: Benchmark Instances for Robust Combinatorial Optimization with Budgeted Uncertainty

description: We provide test instances for robust combinatorial optimization with budget uncertainty in the objective function.<br> The set contains nominal problems from the MIPLIB 2017 that have been converted into robust problems and instances of the robust knapsack problem. Both problem sets have been described and used for benchmarking in the paper "A Branch & Bound Algorithm for Robust Binary Optimization with Budget Uncertainty", published in Mathematical Programming Computation by Christina Büsing, Timo Gersing and Arie Koster.<br> Furthermore, we provide instances for robust weighted matching on bipartite graphs and robust weighted independent set. The latter are based on graphs for the clique problem of the second DIMACS implementation challenge (1993). Both problem sets have been described and used for benchmarking in the paper "Recycling Inequalities for Robust Combinatorial Optimization with Budget Uncertainty", presented at IPCO 2023 by the same authors. For algorithms solving these problems see: https://doi.org/10.5281/zenodo.7463371
DOI: 10.5281/zenodo.7705223
title: A Comparison of Passive and Active Dust Sampling Methods for Measuring Airborne MRSA in Pig Farms

description: Study Abstract: Authors: Anne Rittscher, Abel A. Vlasblom, Birgitta Duim, Peter Scherpenisse, Isabella van Schothorst, Inge M. Wouters, Liese Van Gompel, Lidwien A.M. Smit Methicillin resistant strains of <em>Staphylococcus aureus </em>(MRSA) are resistant to most b-lactam antibiotics. Pigs are an important reservoir of livestock associated MRSA (LA-MRSA), which is genetically distinct from both hospital and community acquired MRSA. Occupational exposure to pigs on farms can lead to LA-MRSA carriage by workers. There is a growing body of research on MRSA found in the farm environment, the airborne route of transmission, and its implication on human health. This study aims to compare two sampling methods used to measure airborne MRSA in the farm environment; passive dust sampling with electrostatic dust fall collectors (EDCs), and active inhalable dust sampling using stationary air pumps with Teflon filters. Paired dust samples using EDCs and GSP samplers, totaling 87 samples, were taken from seven Dutch pig farms, in multiple compartments housing pigs of varying ages. Total nucleic acids of both types of dust samples were extracted and targets indicating MRSA (<em>femA, nuc, mecA</em>) and total bacterial count (16S rRNA) were quantified using quantitative Real Time PCRs. MRSA could be measured in all stationary pump samples and in 94% of the EDCs, additionally MRSA was present on every farm sampled. There was a strong positive relationship between the paired MRSA levels found in EDCs and those measured on filters (Normalized by 16S rRNA; Pearson’s correlation coefficient r=0.94, Not Normalized; Pearson’s correlation coefficient r=0.84). This study suggests that EDCs can be used as an affordable and easily standardized method for quantifying airborne MRSA levels in the pig farm setting.
DOI: 10.5281/zenodo.7705224
title: A Comparison of Passive and Active Dust Sampling Methods for Measuring Airborne MRSA in Pig Farms

description: Study Abstract: Authors: Anne Rittscher, Abel A. Vlasblom, Birgitta Duim, Peter Scherpenisse, Isabella van Schothorst, Inge M. Wouters, Liese Van Gompel, Lidwien A.M. Smit Methicillin resistant strains of <em>Staphylococcus aureus </em>(MRSA) are resistant to most b-lactam antibiotics. Pigs are an important reservoir of livestock associated MRSA (LA-MRSA), which is genetically distinct from both hospital and community acquired MRSA. Occupational exposure to pigs on farms can lead to LA-MRSA carriage by workers. There is a growing body of research on MRSA found in the farm environment, the airborne route of transmission, and its implication on human health. This study aims to compare two sampling methods used to measure airborne MRSA in the farm environment; passive dust sampling with electrostatic dust fall collectors (EDCs), and active inhalable dust sampling using stationary air pumps with Teflon filters. Paired dust samples using passive and active sampling, totaling 87 samples, were taken from seven Dutch pig farms, in multiple compartments housing pigs of varying ages. Total nucleic acids of both types of dust samples were extracted and targets indicating MRSA (<em>femA, nuc, mecA</em>) and total bacterial count (16S rRNA) were quantified using quantitative Real Time PCRs. MRSA could be measured in all stationary pump samples and in 94% of the EDCs, additionally MRSA was present on every farm sampled. There was a strong positive relationship between the paired MRSA levels found in EDCs and those measured on filters (Normalized by 16S rRNA; Pearson’s correlation coefficient r=0.94, Not Normalized; Pearson’s correlation coefficient r=0.84). This study suggests that EDCs can be used as an affordable and easily standardized method for quantifying airborne MRSA levels in the pig farm setting.
DOI: 10.5281/zenodo.7912764
title: A Comparison of Passive and Active Dust Sampling Methods for Measuring Airborne MRSA in Pig Farms

description: Study Abstract: Authors: Anne Rittscher, Abel A. Vlasblom, Birgitta Duim, Peter Scherpenisse, Isabella van Schothorst, Inge M. Wouters, Liese Van Gompel, Lidwien A.M. Smit Methicillin resistant strains of <em>Staphylococcus aureus </em>(MRSA) are resistant to most b-lactam antibiotics. Pigs are an important reservoir of livestock associated MRSA (LA-MRSA), which is genetically distinct from both hospital and community acquired MRSA. Occupational exposure to pigs on farms can lead to LA-MRSA carriage by workers. There is a growing body of research on MRSA found in the farm environment, the airborne route of transmission, and its implication on human health. This study aims to compare two sampling methods used to measure airborne MRSA in the farm environment; passive dust sampling with electrostatic dust fall collectors (EDCs), and active inhalable dust sampling using stationary air pumps with Teflon filters. Paired dust samples using EDCs and GSP samplers, totaling 87 samples, were taken from seven Dutch pig farms, in multiple compartments housing pigs of varying ages. Total nucleic acids of both types of dust samples were extracted and targets indicating MRSA (<em>femA, nuc, mecA</em>) and total bacterial count (16S rRNA) were quantified using quantitative Real Time PCRs. MRSA could be measured in all stationary pump samples and in 94% of the EDCs, additionally MRSA was present on every farm sampled. There was a strong positive relationship between the paired MRSA levels found in EDCs and those measured on filters (Normalized by 16S rRNA; Pearson’s correlation coefficient r=0.94, Not Normalized; Pearson’s correlation coefficient r=0.84). This study suggests that EDCs can be used as an affordable and easily standardized method for quantifying airborne MRSA levels in the pig farm setting.
DOI: 10.48544/d22235ca-1d14-411e-92c3-a1f22afe4d10
title: Authentic Composition  Education in Primary School
DOI: 10.6084/m9.figshare.22810781
title: Tabla 1. Tabla de control

description: Tabla de control perteneciente al artículo<em> "</em>El papel del sonido en la concepción multimodal de la alfabetización: una revisión sistemática".
DOI: 10.6084/m9.figshare.22810781.v2
title: Tabla 1. Tabla de control

description: Tabla de control perteneciente al artículo<em> "</em>El papel del sonido en la concepción multimodal de la alfabetización: una revisión sistemática".
DOI: 10.6084/m9.figshare.22810781.v1
title: Tabla 1. Tabla de control

description: Tabla de control perteneciente al artículo<em> "</em>El papel del sonido en la concepción multimodal de la alfabetización: una revisión sistemática".
DOI: 10.25405/data.ncl.19307303
title: Predicted Body Shapes

description: Measurement and body shape predictions obtained during the evaluation for Trotter <em>et al., </em>Human Body Shape Classification Based on a Single Image (2023). <br> <br> This data is licensed under CC-BY-NC-SA 4.0 and thus may not be used for commercial purposes. If you wish to discuss utilising this dataset for commercial purposes please contact the authors. <br> For dataset these measurements were obtained on, see 10.25405/data.ncl.c.5875730
DOI: 10.25405/data.ncl.19307303.v1
title: Predicted Body Shapes

description: Measurement and body shape predictions obtained during the evaluation for Trotter <em>et al., </em>Human Body Shape Classification Based on a Single Image (2023). <br> <br> This data is licensed under CC-BY-NC-SA 4.0 and thus may not be used for commercial purposes. If you wish to discuss utilising this dataset for commercial purposes please contact the authors. <br> For dataset these measurements were obtained on, see 10.25405/data.ncl.c.5875730
DOI: 10.25405/data.ncl.19307300
title: Human Body Shape Classification Dataset

description: Evaluation dataset collected for, and utilised in, Trotter <em>et al., </em>Human Body Shape Classification Based on a Single Image (2023). <br> The dataset contains the following: <br> - Images_Blurred: A directory containing all images used to evaluate the methodology proposed in the above paper. Faces in the dataset have been blurred to protect the privacy of the participants. - measurements.csv: Ground truth measurement and label data for Images_Blurred. - Proceedure.pdf: A document detailing how the data was collected. <br> This data is licensed under CC-BY-NC-SA 4.0 and thus may not be used for commercial purposes. If you wish to discuss utilising this dataset for commercial purposes please contact the authors. <br>
DOI: 10.23701/euvem2022
title: EuVeM 2022
DOI: 10.34740/kaggle/dsv/5697938
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.57841/casdc.0000594
title: 航空轴承钢材料热处理质量指标实验数据集
DOI: 10.57841/casdc.0000595
title: 稀土钢数据库
DOI: 10.57841/casdc.0000596
title: 轴承疲劳失效数据库
DOI: 10.57841/casdc.0000598
title: 国外航空发动机用轴承材料组织参数检测分析报告
DOI: 10.57841/casdc.0000601
title: 航空轴承钢材料热处理年度工作报告与工作总结汇报
DOI: 10.57841/casdc.0000602
title: 航空轴承钢材料热处理工艺规范草案
DOI: 10.17909/egtn-dm80
title: IUE data of HD215441
DOI: 10.5281/zenodo.7936723
title: Simulations for manuscript Unravelling the forcing and feedbacks contributing to Pliocene Arctic warming in EC-Earth simulations

description: Nine PlioMIP2 experiments were conducted to investigate the mid-Pliocene Arctic climate. These experiments considered three CO2 levels (280, 400 and 560 ppm), modern or Pliocene ice sheet conditions in Greenland and Antarctica and either prescribed or dynamic vegetation. Simulations were performed by the EC-Earth3-LR Veg climate model with a horizontal resolution of ~1.125°. The dataset contains selected output data from the simulations. Simulations were run for 1000 years. The last 200 years were used for analysis after the model reached an equilibrium as measured by global surface air temperature trend less than 0.05 K per century. The dataset contains Earth system model results from EC-Earth3 presented in the study by Power et al. (2023).
DOI: 10.5281/zenodo.7936722
title: Simulations for manuscript Unravelling the forcing and feedbacks contributing to Pliocene Arctic warming in EC-Earth simulations

description: Nine PlioMIP2 experiments were conducted to investigate the mid-Pliocene Arctic climate. These experiments considered three CO2 levels (280, 400 and 560 ppm), modern or Pliocene ice sheet conditions in Greenland and Antarctica and either prescribed or dynamic vegetation. Simulations were performed by the EC-Earth3-LR Veg climate model with a horizontal resolution of ~1.125°. The dataset contains selected output data from the simulations. Simulations were run for 1000 years. The last 200 years were used for analysis after the model reached an equilibrium as measured by global surface air temperature trend less than 0.05 K per century. The dataset contains Earth system model results from EC-Earth3 presented in the study by Power et al. (2023).
DOI: 10.17909/gcqh-fq61
title: IUE data HD215441
DOI: 10.18113/d3z304
title: Physics scheme sensitivity simulation output data for Indianapolis, IN (INFLUX project)

description: As part of the Indianapolis Flux (INFLUX) experiment, the accuracy and biases of simulated meteorological fields were assessed for the city of Indianapolis, IN. Aset of simulations was performed using a mesoscale model. Different PBL schemes, urban canopy models (UCMs), and a model subroutine that was created in order to reduce an inherent model overestimation of urban land cover were implemented in the simulations. A variety of meteorological observations are also used,including eddy covariance data. By combining the observations and the different model configurations, a detailed assessment is performed to assess the behavior and performance of different model configurations.
DOI: 10.57841/casdc.0000617
title: 轴承储运及服役工况下腐蚀行为研究数据集
DOI: 10.57841/casdc.0000618
title: 轴承表面完整性与损伤萌生间关系研究数据集
DOI: 10.57841/casdc.0000619
title: 服役环境轴承表面变质层微观损伤萌生机制与演变规律研究数据集
DOI: 10.34740/kaggle/dsv/5698060
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.7619929
title: Datasets and R script to replicate the statistical analyses from the article entitled Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission

description: Datasets and R script to replicate the statistical analyses from the article entitled " Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission " by Vantaux A., Moiroux N., Dabire K. R., Cohuet A., Lefevre T. 2023
DOI: 10.5281/zenodo.7619928
title: Datasets and R script to replicate the statistical analyses from the article entitled Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission

description: Datasets and R script to replicate the statistical analyses from the article entitled " Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission " by Vantaux A., Moiroux N., Dabire K. R., Cohuet A., Lefevre T. 2023
DOI: 10.5281/zenodo.7645500
title: Datasets and R script to replicate the statistical analyses from the article entitled Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission

description: Datasets and R script to replicate the statistical analyses from the article entitled " Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission " by Vantaux A., Moiroux N., Dabire K. R., Cohuet A., Lefevre T. 2023
DOI: 10.5281/zenodo.7940843
title: Datasets and R script to replicate the statistical analyses from the article entitled Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission

description: Datasets and R script to replicate the statistical analyses from the article entitled " Multiple hosts, multiple impacts: the role of vertebrate host diversity in shaping mosquito life history and pathogen transmission " by Vantaux A., Moiroux N., Dabire K. R., Cohuet A., Lefevre T. 2023
DOI: 10.6084/m9.figshare.22257352
title: Underlying data: In silico drug repurposing using molecular docking and dynamics to target the protein interaction between the SARS-CoV -2 S-glycoprotein and the ACE2 receptor

description: Vitrual screening project file with raw data and PDB structures of hit compounds in docked conformations
DOI: 10.6084/m9.figshare.22257352.v4
title: Underlying data: In silico drug repurposing using molecular docking and dynamics to target the protein interaction between the SARS-CoV -2 S-glycoprotein and the ACE2 receptor

description: Vitrual screening project file with raw data and PDB structures of hit compounds in docked conformations
DOI: 10.5281/zenodo.4776250
title: Training Data for "Metatranscriptomics analysis using microbiome RNASeq data"

description: Microbiomes play a critical role in host health, disease, and the environment.. Functional microbiome analysis which estimates the functional groups expressed by microbial community enables researchers to look beyond taxonomic composition and correlation with the condition under study. Using microbial community RNA-Seq data and subsequent metatranscriptomics workflows to elucidate the functional complement of the microbiome is gaining interest in the field.<br> This tutorial from Galaxy training network will introduce researchers to the basic concepts of metatranscriptomics data analysis. It takes in paired-end datasets of raw shotgun sequences (in FastQ format) as an input and: preprocess extract and analyze the community structure (taxonomic information) extract and analyze the community functions (functional information) combine taxonomic and functional information to offer insights into taxonomic contribution to a function or functions expressed by a particular taxonomy. The dataset used in the tutorial comes from a time-serie analysis of a microbial community inside a bioreactor (Kunath et al, ISME, 2018). Only the data for one time point (1st) and a biological replicate (A) is analyzed here, after having been trimmed out the original file for the purpose of saving time and resources.
DOI: 10.5281/zenodo.7940872
title: Training Data for "Metatranscriptomics analysis using microbiome RNASeq data"

description: Microbiomes play a critical role in host health, disease, and the environment.. Functional microbiome analysis which estimates the functional groups expressed by microbial community enables researchers to look beyond taxonomic composition and correlation with the condition under study. Using microbial community RNA-Seq data and subsequent metatranscriptomics workflows to elucidate the functional complement of the microbiome is gaining interest in the field.<br> This tutorial from Galaxy training network will introduce researchers to the basic concepts of metatranscriptomics data analysis. It takes in paired-end datasets of raw shotgun sequences (in FastQ format) as an input and: preprocess extract and analyze the community structure (taxonomic information) extract and analyze the community functions (functional information) combine taxonomic and functional information to offer insights into taxonomic contribution to a function or functions expressed by a particular taxonomy. The dataset used in the tutorial comes from a time-serie analysis of a microbial community inside a bioreactor (Kunath et al, ISME, 2018). Only the data for one time point (1st) and a biological replicate (A) is analyzed here, after having been trimmed out the original file for the purpose of saving time and resources.
DOI: 10.5281/zenodo.3362848
title: Training Data for "Metatranscriptomics analysis using microbiome RNASeq data"

description: Microbiomes play a critical role in host health, disease, and the environment.. Functional microbiome analysis which estimates the functional groups expressed by microbial community enables researchers to look beyond taxonomic composition and correlation with the condition under study. Using microbial community RNA-Seq data and subsequent metatranscriptomics workflows to elucidate the functional complement of the microbiome is gaining interest in the field.<br> This tutorial from Galaxy training network will introduce researchers to the basic concepts of metatranscriptomics data analysis. It takes in paired-end datasets of raw shotgun sequences (in FastQ format) as an input and: preprocess extract and analyze the community structure (taxonomic information) extract and analyze the community functions (functional information) combine taxonomic and functional information to offer insights into taxonomic contribution to a function or functions expressed by a particular taxonomy. The dataset used in the tutorial comes from a time-serie analysis of a microbial community inside a bioreactor (Kunath et al, ISME, 2018). Only the data for one time point (1st) and a biological replicate (A) is analyzed here, after having been trimmed out the original file for the purpose of saving time and resources.
DOI: 10.5281/zenodo.7928973
title: Republic Print Dataset

description: The republic print dataset consists of 107 ground truthed scans Using annotation software provided through the Transkribus Platform we annotated scans, concerning mostly 18th century printed documents from the National Archive of the Netherlands, with their layout consisting of baselines and regions. The resulting ground truth was used to train a machine learning model yielding very accurate results. The ground truth was made available as an open access dataset.