cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2020.596
title: การกำหนดภูมิลำเนาของผู้เยาว์

description: การค้นคว้าอิสระฉบับนี้มุ่งศึกษาถึงการกำหนดภูมิลำเนาของผู้เยาว์ตามมาตรา 44 แห่งประมวลกฎหมายแพ่งและพาณิชย์ที่กำหนดให้ผู้เยาว์ต้องมีภูมิลำเนาตามบิดามารดาโดยเคร่งครัด เพราะกฎหมายมองว่าผู้เยาว์ถือเป็นบุคคลที่อ่อนด้วยอายุและประสบการณ์จึงจำเป็นที่จะต้องมีบุคคลเข้ามาคอยทำหน้าที่ดูแลผู้เยาว์ซึ่งก็คือ บิดามารดา และเพื่อที่จะเป็นการสะดวกแก่บิดามารดาในการทำหน้าที่ดังกล่าว กฎหมายจึงกำหนดให้ผู้เยาว์ต้องมีภูมิลำเนาตามบิดามารดา ซึ่งการกำหนดโดยเคร่งครัดเช่นนี้ส่งผลทำให้เมื่อต้องนำมาปรับใช้กับประเด็นปัญหาที่เกิดขึ้นในปัจจุบันจะพบถึงข้อจำกัดของตัวบทบัญญัติและเกิดคำถามว่าสุดท้ายแล้วภูมิลำเนาของผู้เยาว์อยู่ ณ ที่ใด โดยประเด็นปัญหาดังกล่าว คือ กรณีบิดามารดายังมีชีวิตอยู่และมีภูมิลำเนาเดียวกันแต่ผู้เยาว์อยู่ที่อื่นที่ไม่ใช่ภูมิลำเนาของบิดามารดา กรณีบิดามารดาเสียชีวิตและศาลยังไม่ได้มีคำสั่งแต่งตั้งผู้ปกครอง และกรณีผู้แทนโดยชอบธรรมถูกถอนอำนาจปกครอง ซึ่งการกำหนดดังกล่าวจะต่างจากการกำหนดภูมิลำเนาของผู้เยาว์ตามกฎหมายต่างประเทศอย่างประเทศฝรั่งเศส เยอรมนี และอังกฤษที่ผู้เยาว์ไม่จำต้องถือตามภูมิลำเนาของบิดามารดาเสมอไปเพราะจะปรากฏข้อยกเว้นในบางกรณีที่ผู้เยาว์สามารถที่จะกำหนดภูมิลำเนาเองได้ ทั้งนี้เพื่อการปรับใช้ที่ยืดหยุ่น ด้วยเหตุนี้ มาตรา 44 แห่งประมวลกฎหมายแพ่งและพาณิชย์จึงควรที่จะได้รับการแก้ไขเพิ่มเติมเพื่อที่จะพัฒนากฎหมายให้สอดคล้องและเหมาะสมกับบริบทต่างๆที่เปลี่ยนแปลงไป อีกทั้งยังก่อให้เกิดประโยชน์ต่อการใช้การตีความและการคุ้มครองสิทธิเสรีภาพของผู้เยาว์ที่เกิดจากภูมิลำเนา
DOI: 10.25345/c53586
title: MassIVE MSV000088446 - 20211125_GNPS_Molecular network_NRPs
title: Move the peakPicking filter to the top of filter list. The peakPicking filter must be the first filter in the list or the output file will not be centroided.
DOI: 10.48668/abqz4j/hjiifc
title: Performance-on-different-tree-structure.docx

description: :unav
DOI: 10.48668/abqz4j/w1fbbx
title: Performance-for-extended-correlation-range.docx

description: :unav
DOI: 10.48668/abqz4j/gfzvem
title: Detail-Algorithm-Output-Files.rar

description: :unav
DOI: 10.48668/abqz4j/oi2due
title: Performance-on-data-with-missing.docx

description: :unav
DOI: 10.48668/abqz4j/qxuslk
title: Effect-of-deletion-methods-on-realdata.docx

description: :unav
DOI: 10.48668/abqz4j/sp8qt3
title: Performance-on-data-from-different-generations.docx

description: :unav
DOI: 10.48668/abqz4j
title: Extra Experiments and Detail Outputs

description: Performance figures on extra experiments and detail algorithm output files of the experiments on the manuscript
DOI: 10.48668/gleh0e/g2ahmv
title: Tree-Plots.pdf

description: :unav
DOI: 10.48668/gleh0e/fl6gde
title: Data-and-Real-Tree.tab

description: :unav
DOI: 10.6084/m9.figshare.17078459
title: Data of Research on Positioning Method of Four Steering Wheel Mobile Robot Based on Improved UMBmark Algorithmed Item

description: <b>Experimental Results of Four Steering Wheel Mobile Robot Based on Traditional UMBmark Algorithm and Improved UMBmark Algorithm</b>
DOI: 10.48668/gleh0e/iptndz
title: Estimated-Tree.tab

description: :unav
DOI: 10.48668/gleh0e
title: Example of Synthesized Data Experiment

description: An experiment of comparing methods on synthesized data set, with detail data and estimation results
DOI: 10.6084/m9.figshare.13670056
title: Supplement materials and source data

description: <b>Study on the Effect of Different Type of Sugar on Lipid Deposition in Goose Fatty Liver</b><b></b>
DOI: 10.6084/m9.figshare.13670056.v2
title: Supplement materials and source data

description: <b>Study on the Effect of Different Type of Sugar on Lipid Deposition in Goose Fatty Liver</b><b></b>
DOI: 10.6084/m9.figshare.13670056.v1
title: Study on the Effect of Different Type of Sugar on Lipid Deposition in Goose Fatty Liver

description: <b>Study on the Effect of Different Type of Sugar on Lipid Deposition in Goose Fatty Liver</b><b></b>
DOI: 10.6084/m9.figshare.12731108
title: Supplement materials and source data-BIOCELL

description: Supplement materials and original source data
DOI: 10.6084/m9.figshare.12731108.v2
title: Supplement materials and source data-BIOCELL

description: Supplement materials and original source data
DOI: 10.6084/m9.figshare.12731108.v1
title: Supplement materials and source data

description: Supplement materials and original source data
DOI: 10.6084/m9.figshare.17059757
title: Bactericidal agents resistance assay

description: Overnight cultures of <i>Streptococcus gordonii</i> were harvested and resuspended in RPMI medium (pH 7.0), and then 5x10<sup>5</sup> cells/ml of bacteria were transferred to RPMI medium (pH 7.0 or 5.0) supplemented with lysozyme (FUJIFILM, Osaka, Japan) (5 mg/ml), defensin (PEPTIDE, Osaka, Japan) (5 microgram/ml), lactoferrin (Sigma-Aldrich) (10 microgram/ml), or a mixture of these bactericidal agents. After 2 h of incubation at 37 °C, samples were serially diluted and plated on BHI agar.
DOI: 10.6084/m9.figshare.17059757.v1
title: Bactericidal agents resistance assay

description: Overnight cultures of <i>Streptococcus gordonii</i> were harvested and resuspended in RPMI medium (pH 7.0), and then 5x10<sup>5</sup> cells/ml of bacteria were transferred to RPMI medium (pH 7.0 or 5.0) supplemented with lysozyme (FUJIFILM, Osaka, Japan) (5 mg/ml), defensin (PEPTIDE, Osaka, Japan) (5 microgram/ml), lactoferrin (Sigma-Aldrich) (10 microgram/ml), or a mixture of these bactericidal agents. After 2 h of incubation at 37 °C, samples were serially diluted and plated on BHI agar.
DOI: 10.6084/m9.figshare.17059715
title: acid tolerance of Streptococcus gordonii

description: Overnight cultures of <i>Streptococcus gordonii</i> were harvested and resuspended in RPMI medium (pH 7.0) and then 50 microL (5x10<sup>5</sup> cells) of bacteria were transferred to 1ml of RPMI medium (pH 3.0, 4.0, or 5.0). After 30 and 120 min of incubation at 37 °C, samples were serially diluted and plated on BHI agar.
DOI: 10.6084/m9.figshare.17059715.v1
title: acid tolerance of Streptococcus gordonii

description: Overnight cultures of <i>Streptococcus gordonii</i> were harvested and resuspended in RPMI medium (pH 7.0) and then 50 microL (5x10<sup>5</sup> cells) of bacteria were transferred to 1ml of RPMI medium (pH 3.0, 4.0, or 5.0). After 30 and 120 min of incubation at 37 °C, samples were serially diluted and plated on BHI agar.
DOI: 10.5517/ccdc.csd.cc27r9my
title: CCDC 2077980: Experimental Crystal Structure Determination

description: Related Article: Hannah E. Skipper, Claire V. May, Arnold L. Rheingold, Linda H. Doerrer, Maria Kamenetska|2021|J.Am.Chem.Soc.|143|16439|doi:10.1021/jacs.1c05142
DOI: 10.5281/zenodo.5725599
title: Self-Directed Online Machine Learning for Topology Optimization

description: Code and results of the paper "Self-Directed Online Machine Learning for Topology Optimization". See latest updates at https://github.com/deng-cy/deep_learning_topology_opt
DOI: 10.5281/zenodo.5725598
title: Self-Directed Online Machine Learning for Topology Optimization

description: Code and results of the paper "Self-Directed Online Machine Learning for Topology Optimization". See latest updates at https://github.com/deng-cy/deep_learning_topology_opt
DOI: 10.6084/m9.figshare.17078597
title: Supplemental data-AM J PHYSIOL-REG I

description: Study on the Effect of Different Type of Sugar on Lipid Deposition in Goose Fatty Liver
DOI: 10.6084/m9.figshare.17078597.v2
title: Supplemental data-AM J PHYSIOL-REG I

description: Study on the Effect of Different Type of Sugar on Lipid Deposition in Goose Fatty Liver
DOI: 10.6084/m9.figshare.17078597.v1
title: supplemental data and source data

description: Study on the Effect of Different Type of Sugar on Lipid Deposition in Goose Fatty Liver
DOI: 10.5281/zenodo.5726005
title: Effects of phenotypic plasticity on species coexistence

description: Data generated during a study on the effects of phenotypic plasticity on species coexistence. Hess_etal_Data_Competition_01.csv contains data generated during competition trials between two species (Lemna minor and Spirodela polyrhiza). Prior to the competition trials, replicate populations of these species were subject to one of two different levels of an experimental treatment - either low-frequency plasticity-induction or a high-frequency plasticity-induction. Refer to manuscript for full details. Hess_etal_Data_Traits_01.csv contains data on morphological traits of Lemna minor and Spirodela polyrhiza subject to either low- or high-frequency plasticity-induction. Refer to manuscript for full details.
DOI: 10.5281/zenodo.5726004
title: Effects of phenotypic plasticity on species coexistence

description: Data generated during a study on the effects of phenotypic plasticity on species coexistence. Hess_etal_Data_Competition_01.csv contains data generated during competition trials between two species (Lemna minor and Spirodela polyrhiza). Prior to the competition trials, replicate populations of these species were subject to one of two different levels of an experimental treatment - either low-frequency plasticity-induction or a high-frequency plasticity-induction. Refer to manuscript for full details. Hess_etal_Data_Traits_01.csv contains data on morphological traits of Lemna minor and Spirodela polyrhiza subject to either low- or high-frequency plasticity-induction. Refer to manuscript for full details.
DOI: 10.5281/zenodo.5673924
title: Synthetic time series data generation for edge analytics

description: In this research, we create synthetic data with features that are like data from IoT devices. We use an existing air quality dataset that includes temperature and gas sensor measurements. This real-time dataset includes component values for the Air Quality Index (AQI) and ppm concentrations for various polluting gas concentrations. We build a JavaScript Object Notation (JSON) model to capture the distribution of variables and structure of this real dataset to generate the synthetic data. Based on the synthetic dataset and original dataset, we create a comparative predictive model. Analysis of synthetic dataset predictive model shows that it can be successfully used for edge analytics purposes, replacing real-world datasets. There is no significant difference between the real-world dataset compared the synthetic dataset. The generated synthetic data requires no modification to suit the edge computing requirements. The framework can generate correct synthetic datasets based on JSON schema attributes. The accuracy, precision, and recall values for the real and synthetic datasets indicate that the logistic regression model is capable of successfully classifying data
description: This research was supported by the Ministry of Higher Education (MOHE) Fundamental Research Grant Scheme (FRGS/1/2019/ICT03/MMU/03/2).Subarmaniam A/L Kannan, Nazrul Muhaimin Ahmad, Siti Fatimah Binti Abdul Razak, Anang Hudaya Bin Muhamad Amin and Fazly Salleh Bin Abas
description: {"references": ["https://cpcb.nic.in/"]}
DOI: 10.5281/zenodo.5596203
title: Synthetic time series data generation for edge analytics

description: In this research, we create synthetic data with features that are like data from IoT devices. We use an existing air quality dataset that includes temperature and gas sensor measurements. This real-time dataset includes component values for the Air Quality Index (AQI) and ppm concentrations for various polluting gas concentrations. We build a JavaScript Object Notation (JSON) model to capture the distribution of variables and structure of this real dataset to generate the synthetic data. Based on the synthetic dataset and original dataset, we create a comparative predictive model. Analysis of synthetic dataset predictive model shows that it can be successfully used for edge analytics purposes, replacing real-world datasets. There is no significant difference between the real-world dataset compared the synthetic dataset. The generated synthetic data requires no modification to suit the edge computing requirements. The framework can generate correct synthetic datasets based on JSON schema attributes. The accuracy, precision, and recall values for the real and synthetic datasets indicate that the logistic regression model is capable of successfully classifying data
description: This research was supported by the Ministry of Higher Education (MOHE) Fundamental Research Grant Scheme (FRGS/1/2019/ICT03/MMU/03/2).Subarmaniam A/L Kannan, Nazrul Muhaimin Ahmad, Siti Fatimah Binti Abdul Razak, Anang Hudaya Bin Muhamad Amin and Fazly Salleh Bin Abas
description: {"references": ["https://cpcb.nic.in/"]}
DOI: 10.25345/c5zp1g
title: MassIVE MSV000088447 - GNPS Acanthostrongylophora ingens
title: Achanthostrongylophora ingens from Indoneisan waters 2021
DOI: 10.6084/m9.figshare.17079035
title: Additional file 6 of Mutational signatures among young-onset testicular cancers

description: Additional file 6: Table S1. Comparison of COSMIC mutational signature contributions to non-seminomatous (n = 56) and seminomatous (n = 44) testicular tumors. Entries are number (proportion) of cases with a signature present above a threshold of 6% in each histologic group. P-values were calculated adjusting for age of onset * indicates statistical significance at a 0.05 level.
DOI: 10.6084/m9.figshare.17079035.v1
title: Additional file 6 of Mutational signatures among young-onset testicular cancers

description: Additional file 6: Table S1. Comparison of COSMIC mutational signature contributions to non-seminomatous (n = 56) and seminomatous (n = 44) testicular tumors. Entries are number (proportion) of cases with a signature present above a threshold of 6% in each histologic group. P-values were calculated adjusting for age of onset * indicates statistical significance at a 0.05 level.
DOI: 10.6084/m9.figshare.17079181
title: Additional file 15 of Alternative splicing level related to intron size and organism complexity

description: Additional file 15: Table S8. Correlation between organism complexity and the six genomic features of ASP/L-related pathways in the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079181.v1
title: Additional file 15 of Alternative splicing level related to intron size and organism complexity

description: Additional file 15: Table S8. Correlation between organism complexity and the six genomic features of ASP/L-related pathways in the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079187
title: Additional file 1 of Alternative splicing level related to intron size and organism complexity

description: Additional file 1: Table S1. Summary of the three sets of species used in this study.
DOI: 10.6084/m9.figshare.17079190.v1
title: Additional file 2 of Alternative splicing level related to intron size and organism complexity

description: Additional file 2: Table S2. Details of the RNA-Seq datasets used in this study.
DOI: 10.6084/m9.figshare.17079187.v1
title: Additional file 1 of Alternative splicing level related to intron size and organism complexity

description: Additional file 1: Table S1. Summary of the three sets of species used in this study.
DOI: 10.6084/m9.figshare.17079190
title: Additional file 2 of Alternative splicing level related to intron size and organism complexity

description: Additional file 2: Table S2. Details of the RNA-Seq datasets used in this study.
DOI: 10.6084/m9.figshare.17079196
title: Additional file 4 of Alternative splicing level related to intron size and organism complexity

description: Additional file 4: Table S3. Summary statistics of the RNA-Seq data from the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079196.v1
title: Additional file 4 of Alternative splicing level related to intron size and organism complexity

description: Additional file 4: Table S3. Summary statistics of the RNA-Seq data from the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079199
title: Additional file 5 of Alternative splicing level related to intron size and organism complexity

description: Additional file 5: Table S4. The four selected tissues used for each species in the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079199.v1
title: Additional file 5 of Alternative splicing level related to intron size and organism complexity

description: Additional file 5: Table S4. The four selected tissues used for each species in the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079202
title: Additional file 6 of Alternative splicing level related to intron size and organism complexity

description: Additional file 6: Table S5. ASP/L and correlation with the cell type number (CTN) and mean intron size for the three sets of species.
DOI: 10.6084/m9.figshare.17079202.v1
title: Additional file 6 of Alternative splicing level related to intron size and organism complexity

description: Additional file 6: Table S5. ASP/L and correlation with the cell type number (CTN) and mean intron size for the three sets of species.
DOI: 10.6084/m9.figshare.17079205
title: Additional file 7 of Alternative splicing level related to intron size and organism complexity

description: Additional file 7: Table S6. Statistics of the five tissues used for tissue-level ASP/L calculation for the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079211
title: Additional file 9 of Alternative splicing level related to intron size and organism complexity

description: Additional file 9: Table S7. The two tissues with the highest ASP/L in the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079205.v1
title: Additional file 7 of Alternative splicing level related to intron size and organism complexity

description: Additional file 7: Table S6. Statistics of the five tissues used for tissue-level ASP/L calculation for the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079211.v1
title: Additional file 9 of Alternative splicing level related to intron size and organism complexity

description: Additional file 9: Table S7. The two tissues with the highest ASP/L in the FirstSpeciesSet.
DOI: 10.6084/m9.figshare.17079227
title: Additional file 4 of Highly flexible metabolism of the marine euglenozoan protist Diplonema papillatum

description: Additional file 4: Table S2. List of metabolites identified in D. papillatum. A comprehensive metabolite list covering all important compounds detected in the D. papillatum metabolome, their analytical characteristics including identification tools, metabolic trend changes in four compared conditions (R+, R-, P+, P-). The Metabolite Mapper generated metabolomic data mining presented as a series of sheets comprising a metabolite list (S3a), and boxplot diagrams of each detected metabolite arranged accordingly to a particular metabolic pathway (S3b-S3j). The up- and downregulated significant changes between groups are highlighted by blue and pink backgrounds, respectively. Thresholds: Log2-fold change ≤2, and p-value ≤0.05. For p-value calculation, the two-sample unequal variance test with symmetrical distribution was used.
DOI: 10.6084/m9.figshare.17079227.v1
title: Additional file 4 of Highly flexible metabolism of the marine euglenozoan protist Diplonema papillatum

description: Additional file 4: Table S2. List of metabolites identified in D. papillatum. A comprehensive metabolite list covering all important compounds detected in the D. papillatum metabolome, their analytical characteristics including identification tools, metabolic trend changes in four compared conditions (R+, R-, P+, P-). The Metabolite Mapper generated metabolomic data mining presented as a series of sheets comprising a metabolite list (S3a), and boxplot diagrams of each detected metabolite arranged accordingly to a particular metabolic pathway (S3b-S3j). The up- and downregulated significant changes between groups are highlighted by blue and pink backgrounds, respectively. Thresholds: Log2-fold change ≤2, and p-value ≤0.05. For p-value calculation, the two-sample unequal variance test with symmetrical distribution was used.
DOI: 10.6084/m9.figshare.17079230
title: Additional file 5 of Highly flexible metabolism of the marine euglenozoan protist Diplonema papillatum

description: Additional file 5: Data S1. KEGG maps.
DOI: 10.6084/m9.figshare.17079224.v1
title: Additional file 3 of Highly flexible metabolism of the marine euglenozoan protist Diplonema papillatum

description: Additional file 3: Table S1. List of enzymes identified in the transcriptome and proteome of D. papillatum. “Predicted localization” in column L summarizes all predicted localizations obtained using an in-house python script and four different tools, three of them in two different settings. Abbreviations used for cellular localization (columns D-L), transcriptomic (columns M-O) and proteomic (columns P-U) data are explained below the table. Values of transcriptomic and proteomic ratios are log2 transformed fold change. ANOVA was performed with Benjamini-Hochberg correction for multiple testing with a pValue threshold at 0.01. For pairwise comparisons, post hoc Tukey’s test was used at p ≤ 0.01. Differentially abundant proteins were filtered on effect size, at least 1-fold of log2 transformed ratio. Abbreviations in column headings: rich medium (R), poor medium (P), aerobic conditions (+) hypoxic conditions (-).
DOI: 10.6084/m9.figshare.17079230.v1
title: Additional file 5 of Highly flexible metabolism of the marine euglenozoan protist Diplonema papillatum

description: Additional file 5: Data S1. KEGG maps.
DOI: 10.6084/m9.figshare.17079224
title: Additional file 3 of Highly flexible metabolism of the marine euglenozoan protist Diplonema papillatum

description: Additional file 3: Table S1. List of enzymes identified in the transcriptome and proteome of D. papillatum. “Predicted localization” in column L summarizes all predicted localizations obtained using an in-house python script and four different tools, three of them in two different settings. Abbreviations used for cellular localization (columns D-L), transcriptomic (columns M-O) and proteomic (columns P-U) data are explained below the table. Values of transcriptomic and proteomic ratios are log2 transformed fold change. ANOVA was performed with Benjamini-Hochberg correction for multiple testing with a pValue threshold at 0.01. For pairwise comparisons, post hoc Tukey’s test was used at p ≤ 0.01. Differentially abundant proteins were filtered on effect size, at least 1-fold of log2 transformed ratio. Abbreviations in column headings: rich medium (R), poor medium (P), aerobic conditions (+) hypoxic conditions (-).
DOI: 10.6084/m9.figshare.17079287
title: Additional file 1 of Benchmarking different approaches for Norovirus genome assembly in metagenome samples

description: Additional file 1. BLAST results for contigs &gt;7 kb obtained with the 4 approaches and 2 assemblers tested.
DOI: 10.6084/m9.figshare.17079287.v1
title: Additional file 1 of Benchmarking different approaches for Norovirus genome assembly in metagenome samples

description: Additional file 1. BLAST results for contigs &gt;7 kb obtained with the 4 approaches and 2 assemblers tested.
DOI: 10.6084/m9.figshare.17079290
title: Additional file 2 of Benchmarking different approaches for Norovirus genome assembly in metagenome samples

description: Additional file 2. Identity percentages shared after local alignment between the published genomes per sample and the rest of main contigs yielded per strategy.
DOI: 10.6084/m9.figshare.17079290.v1
title: Additional file 2 of Benchmarking different approaches for Norovirus genome assembly in metagenome samples

description: Additional file 2. Identity percentages shared after local alignment between the published genomes per sample and the rest of main contigs yielded per strategy.
DOI: 10.6084/m9.figshare.17079293
title: Additional file 3 of Benchmarking different approaches for Norovirus genome assembly in metagenome samples

description: Additional file 3. Longest Norovirus contigs retrieved from all strategies with default kmer-lengths used by SPAdes.
DOI: 10.6084/m9.figshare.17079293.v1
title: Additional file 3 of Benchmarking different approaches for Norovirus genome assembly in metagenome samples

description: Additional file 3. Longest Norovirus contigs retrieved from all strategies with default kmer-lengths used by SPAdes.
DOI: 10.6084/m9.figshare.17079296
title: Additional file 4 of Benchmarking different approaches for Norovirus genome assembly in metagenome samples

description: Additional file 4. Results per sample in all contigs.