cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13245853
title: Additional file 2 of Metabolomic signatures for visceral adiposity and dysglycaemia in Asian Chinese and Caucasian European adults: the cross-sectional TOFI_Asia study

description: Additional file 2. Table S1: Internal standard added to extraction solvent for monitoring signal variation during instrumental analysis. Table S2: Data pre-processing parameters for lipidomic profile (XCMS) and HILIC profile (ADAP). Table S3: Differentially expressed lipid species between Caucasian and Asian Chinese. Table S4: Differentially expressed metabolites between Caucasian and Asian Chinese. Table S5: Metabolites associated with FPG in Caucasian and/or Asian Chinese analysed by multiple linear regression adjusted for gender, age and BMI (BH-corrected p&lt;0.05). Table S6: Metabolites associated with %VATTBF in Caucasian and/or Asian Chinese analysed by multiple linear regression adjusted for gender, age and BMI (BH-corrected p&lt;0.05). Table S7: Metabolites associated with FPG and/or %VATTBF in Caucasian analysed by multiple linear regression adjusted for gender, age and BMI (BH-corrected p&lt;0.05). The list of metabolites is ordered by the variable importance in ramdon forest, and the top 100 variables (from unknown X160_HP_241.0719_12.18 to unknown LP_802.5932_348.16) were selected for sample restratification. Table S8: Metabolites associated with FPG and/or %VATTBF in Asian Chinese analysed by multiple linear regression adjusted for gender, age and BMI (BH-corrected p&lt;0.05). The list of metabolites is ordered by the variable importance in random forest, and the top 100 variables (from unknown X160_HP_241.0719_12.18 to PE(P-36:1)) were selected for sample restratification.
DOI: 10.6084/m9.figshare.12197430.v1
title: Additional file 2 of GiniClust3: a fast and memory-efficient tool for rare cell type identification

description: Additional file 2: Table S1. Clusters, marker genes and cell mapping results using scMCA in mouse brain dataset.
DOI: 10.6084/m9.figshare.12197430
title: Additional file 2 of GiniClust3: a fast and memory-efficient tool for rare cell type identification

description: Additional file 2: Table S1. Clusters, marker genes and cell mapping results using scMCA in mouse brain dataset.
DOI: 10.6084/m9.figshare.4335539
title: Additional file 6 of Are alternative livelihood projects effective at reducing local threats to specified elements of biodiversity and/or improving or maintaining the conservation status of those elements?

description: Additional file 6. Data extraction sheet.
DOI: 10.24403/jp.1329135
title: Exkursion in die Finne um Eckartsberga am 9. August 1987 / A. Keding
DOI: 10.24403/jp.1329141
title: Exkursion in das Gebiet der Mansfelder Seen am 13. September 1987 / K.-F. Günther
DOI: 10.6084/m9.figshare.25037590
title: Dataset_S8.xlsx from The causes of species richness patterns among clades

description: Two major types of species richness patterns are spatial (e.g. the latitudinal diversity gradient) and clade-based (e.g. the dominance of angiosperms among plants). Studies have debated whether clade-based richness patterns are explained primarily by larger clades having faster rates of species accumulation (speciation minus extinction over time; diversification-rate hypothesis) or by simply being older (clade-age hypothesis). However, these studies typically compared named clades of the same taxonomic rank, such as phyla and families. This study design is potentially biased against the clade-age hypothesis, since clades of the same rank may be more similar in age than randomly selected clades. Here, we analyse the causes of clade-based richness patterns across the tree of life using a large-scale, time-calibrated, species-level phylogeny and random sampling of clades. We find that within major groups of organisms (animals, plants, fungi, bacteria, archaeans), richness patterns are most strongly related to clade age. Nevertheless, weaker relationships with diversification rates are present in animals and plants. These overall results contrast with similar large-scale analyses across life based on named clades, which showed little effect of clade age on richness. More broadly, these results help support the overall importance of time for explaining diverse types of species richness patterns.
DOI: 10.6084/m9.figshare.25037590.v1
title: Dataset_S8.xlsx from The causes of species richness patterns among clades

description: Two major types of species richness patterns are spatial (e.g. the latitudinal diversity gradient) and clade-based (e.g. the dominance of angiosperms among plants). Studies have debated whether clade-based richness patterns are explained primarily by larger clades having faster rates of species accumulation (speciation minus extinction over time; diversification-rate hypothesis) or by simply being older (clade-age hypothesis). However, these studies typically compared named clades of the same taxonomic rank, such as phyla and families. This study design is potentially biased against the clade-age hypothesis, since clades of the same rank may be more similar in age than randomly selected clades. Here, we analyse the causes of clade-based richness patterns across the tree of life using a large-scale, time-calibrated, species-level phylogeny and random sampling of clades. We find that within major groups of organisms (animals, plants, fungi, bacteria, archaeans), richness patterns are most strongly related to clade age. Nevertheless, weaker relationships with diversification rates are present in animals and plants. These overall results contrast with similar large-scale analyses across life based on named clades, which showed little effect of clade age on richness. More broadly, these results help support the overall importance of time for explaining diverse types of species richness patterns.
DOI: 10.6084/m9.figshare.25037593
title: Dataset_S3.R from The causes of species richness patterns among clades

description: Two major types of species richness patterns are spatial (e.g. the latitudinal diversity gradient) and clade-based (e.g. the dominance of angiosperms among plants). Studies have debated whether clade-based richness patterns are explained primarily by larger clades having faster rates of species accumulation (speciation minus extinction over time; diversification-rate hypothesis) or by simply being older (clade-age hypothesis). However, these studies typically compared named clades of the same taxonomic rank, such as phyla and families. This study design is potentially biased against the clade-age hypothesis, since clades of the same rank may be more similar in age than randomly selected clades. Here, we analyse the causes of clade-based richness patterns across the tree of life using a large-scale, time-calibrated, species-level phylogeny and random sampling of clades. We find that within major groups of organisms (animals, plants, fungi, bacteria, archaeans), richness patterns are most strongly related to clade age. Nevertheless, weaker relationships with diversification rates are present in animals and plants. These overall results contrast with similar large-scale analyses across life based on named clades, which showed little effect of clade age on richness. More broadly, these results help support the overall importance of time for explaining diverse types of species richness patterns.
DOI: 10.6084/m9.figshare.25037593.v1
title: Dataset_S3.R from The causes of species richness patterns among clades

description: Two major types of species richness patterns are spatial (e.g. the latitudinal diversity gradient) and clade-based (e.g. the dominance of angiosperms among plants). Studies have debated whether clade-based richness patterns are explained primarily by larger clades having faster rates of species accumulation (speciation minus extinction over time; diversification-rate hypothesis) or by simply being older (clade-age hypothesis). However, these studies typically compared named clades of the same taxonomic rank, such as phyla and families. This study design is potentially biased against the clade-age hypothesis, since clades of the same rank may be more similar in age than randomly selected clades. Here, we analyse the causes of clade-based richness patterns across the tree of life using a large-scale, time-calibrated, species-level phylogeny and random sampling of clades. We find that within major groups of organisms (animals, plants, fungi, bacteria, archaeans), richness patterns are most strongly related to clade age. Nevertheless, weaker relationships with diversification rates are present in animals and plants. These overall results contrast with similar large-scale analyses across life based on named clades, which showed little effect of clade age on richness. More broadly, these results help support the overall importance of time for explaining diverse types of species richness patterns.
DOI: 10.6084/m9.figshare.8005673
title: Combined therapeutic effects of HIFU, GnRH-a and LNG-IUS for the treatment of severe adenomyosis

description: <b>Objective:</b> To evaluate the combined efficacy of high-intensity focused ultrasound (HIFU), gonadotropin-releasing hormone agonist (GnRH-a) and the levonorgestrel-releasing intrauterine system (LNG-IUS) for the treatment of severe adenomyosis. <b>Method:</b> Four hundred and sixty-six patients with adenomyosis admitted to the Department of Gynecology of Shanghai First Maternity and Infant Hospital underwent HIFU treatment, and then were consecutively administered with GnRH-a 1 d, 1 month and 3 months after HIFU treatment. The uterine size was then measured with ultrasound or MRI 2–4 weeks after three cycles of GnRH-a injection. The LNG-IUS was then inserted when the uterine length less than 9 cm. The visual analog scale (VAS), verbal rating scale (VRS), menstrual volume score, uterus volume, MRI, serum levels of hemoglobin and CA125 were measured at pre and 3-, 6-, 12-month post-HIFU. <b>Results:</b> Dysmenorrhea and menorrhagia significantly relieved after combined treatment with HIFU, GnRH-a and the LNS-IUS. The uterine volume shrank and returned to its normal size. The serum CA-125 level was reduced to the normal level after the combined treatment. <b>Conclusions:</b> The combined therapeutic regimen of HIFU, GnRH-a and LNS-IUS is safe, effective and efficient for curing severe adenomyosis.
DOI: 10.6084/m9.figshare.8005673.v1
title: Combined therapeutic effects of HIFU, GnRH-a and LNG-IUS for the treatment of severe adenomyosis

description: <b>Objective:</b> To evaluate the combined efficacy of high-intensity focused ultrasound (HIFU), gonadotropin-releasing hormone agonist (GnRH-a) and the levonorgestrel-releasing intrauterine system (LNG-IUS) for the treatment of severe adenomyosis. <b>Method:</b> Four hundred and sixty-six patients with adenomyosis admitted to the Department of Gynecology of Shanghai First Maternity and Infant Hospital underwent HIFU treatment, and then were consecutively administered with GnRH-a 1 d, 1 month and 3 months after HIFU treatment. The uterine size was then measured with ultrasound or MRI 2–4 weeks after three cycles of GnRH-a injection. The LNG-IUS was then inserted when the uterine length less than 9 cm. The visual analog scale (VAS), verbal rating scale (VRS), menstrual volume score, uterus volume, MRI, serum levels of hemoglobin and CA125 were measured at pre and 3-, 6-, 12-month post-HIFU. <b>Results:</b> Dysmenorrhea and menorrhagia significantly relieved after combined treatment with HIFU, GnRH-a and the LNS-IUS. The uterine volume shrank and returned to its normal size. The serum CA-125 level was reduced to the normal level after the combined treatment. <b>Conclusions:</b> The combined therapeutic regimen of HIFU, GnRH-a and LNS-IUS is safe, effective and efficient for curing severe adenomyosis.
DOI: 10.24403/jp.1329143
title: Pilzexkursion in die Schmücke bei Beichlingen am 21. September 1987 / G. Hirsch
DOI: 10.34740/kaggle/ds/4431462
title: 🇵🇭 Raffy Tulfo In Action Youtube Video Comments
DOI: 10.6084/m9.figshare.12200390
title: Global near-real-time CO2 emission

description: Timely, comprehensive and accurate dataset of CO2 emissions from fossil fuel combustion and cement production are fundamental prerequisites to understanding the global carbon cycle and designing evidenced-based policies for reducing carbon emissions. Here we provided daily CO2 emission data record started from Jan. 1<sup>st</sup> 2019. The dataset uncovered the daily CO2 dynamics through daily, weekly and seasonal variations as well as the change of daily CO2 due to the holiday events and the impact of COVID-19 pandemic.Such near-real-time CO2 dataset would be of great advantage to further monitoring the human activities and to capture the impacts of COVID-19 for long term.<br>
DOI: 10.17030/uclan.data.00000438
title: Scoping Review of Artificial Intelligence in Medical Education - ONLINE APPENDIX FULL DATA EXTRACTION.
DOI: 10.17632/hk9yfsdhh9.1
title: Primary Life Cycle Inventory Data for Cement Production - Indian Cases

description: The data generated and published is the primary life cycle inventory from six Indian cement plants. We provide the data in three parts (as appendices) with information relevant to the steps followed in the life cycle assessment (LCA) methodology, i.e., inventory, characterization factors and impacts (carbon footprint and energy consumed). All the data presented here (in Appendix A and C) are associated with a tonne of clinker and cement (ordinary portland cement, portland pozzolana cement, portland slag cement) produced in each plant. Appendix A provides the detailed inventories (primary data) and characterization factors (based on primary and secondary sources) used in the case studies; Appendix B contains the detailed inventory, corresponding characterization factors and impact values for electricity production (per kWh) in the captive power plants of the cement plants; and Appendix C gives the impact assessment results of all the different products relevant to the case studies and for the three different systems (system boundaries) considered for the LCA.
DOI: 10.6084/m9.figshare.7478957.v1
title: Additional file 3: of Genome-wide RNAseq study of the molecular mechanisms underlying microglia activation in response to pathological tau perturbation in the rTg4510 tau transgenic animal model

description: Table S2. The list of DEGs in three microglia transcriptomic studies. (XLSX 240 kb)
DOI: 10.6084/m9.figshare.13246081.v1
title: Table S4 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.
DOI: 10.25413/sun.24324799
title: Ship motion measurements on the SA Agulhas II - Winter Cruise 2019

description: Ship motion measured by accelerometers in a specific array that enables the computation of z-oriented acceleration at points of interest on board beyond the array measurement locations. Acceleration measurements in the dataset are stored in 5-minute batches with a 10 Hz sample rate at the locations and orientations detailed in the associated readme file in the data collection. This dataset is a down-sampled subset of acceleration measurements sampled at 2048 Hz during the SCALE Winter Cruise of 2019.
DOI: 10.6084/m9.figshare.13246093.v2
title: Table S2 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.
DOI: 10.6084/m9.figshare.7478900
title: Additional file 2: of Prognostic values of S100 family members in ovarian cancer patients

description: Table S7. Patient numbers of low or high mRNA expression of S100 family members in different clinical and pathological features. Abbreviations: exp. -expression, n-number. (XLSX 41 kb)
DOI: 10.6084/m9.figshare.13246084
title: Table S8 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.
DOI: 10.6084/m9.figshare.13246090.v2
title: Table S11 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.
DOI: 10.6084/m9.figshare.13246096.v1
title: Table S5 from Identification of candidate genes controlling chilling tolerance of rice in the cold region at the booting stage by BSA-Seq and RNA-Seq

description: Rice is sensitive to low temperatures, specifically at the booting stage. Chilling tolerance of rice is a quantitative trait loci that is governed by multiple genes, and thus, its precise identification through the conventional methods is an arduous task. In this study, we investigated the candidate genes related to chilling tolerance at the booting stage of rice. The F2 population was derived from Longjing25 (chilling-tolerant) and Longjing11 (chilling-sensitive) cross. Two bulked segregant analysis pools were constructed. A 0.82 Mb region containing 98 annotated genes on chromosomes 6 and 9 was recognized as the candidate region associated with chilling tolerance of rice at the booting stage. Transcriptomic analysis of Longjing25 and Longjing11 revealed 50 differentially expressed genes (DEGs) on the candidate intervals. KEGG pathway enrichment analysis of DEGs was performed. Nine pathways were found to be enriched, which contained 10 DEGs. A total of four genes had different expression patterns or levels between Longjing25 and Longjing11. Four out of the 10 DEGs were considered as potential candidate genes for chilling tolerance. This study will assist in the cloning of the candidate genes responsible for chilling tolerance and molecular breeding of rice for the development of chilling-tolerant rice varieties.
DOI: 10.6084/m9.figshare.7479107
title: Additional file 1: of Complex regulation of microRNAs in roots of competitively-grown isogenic Nicotiana attenuata plants with different capacities to interact with arbuscular mycorrhizal fungi

description: Table S1. Conserved and predicted novel miRNAs identified in the four sample types and log fold change for pairwise comparisons. (XLSX 72 kb)
DOI: 10.6084/m9.figshare.7479119.v1
title: Additional file 5: of Complex regulation of microRNAs in roots of competitively-grown isogenic Nicotiana attenuata plants with different capacities to interact with arbuscular mycorrhizal fungi

description: Table S5. Gene Ontology analysis of putative targets of differentially enriched miRNAs. (XLSX 11 kb)
DOI: 10.6084/m9.figshare.7479116
title: Additional file 4: of Complex regulation of microRNAs in roots of competitively-grown isogenic Nicotiana attenuata plants with different capacities to interact with arbuscular mycorrhizal fungi

description: Table S4. Target genes for selected DEmiRs using psRNA Target and target description. (XLSX 667 kb)