cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.11321591
title: MOESM3 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 3: Table S2. The DEGs and their GOs of the CLW-treated and control dodders growing on WT and AOC-RNAi tobacco plants.
DOI: 10.6084/m9.figshare.11321591.v1
title: MOESM3 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 3: Table S2. The DEGs and their GOs of the CLW-treated and control dodders growing on WT and AOC-RNAi tobacco plants.
DOI: 10.6084/m9.figshare.11321594
title: MOESM4 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 4: Table S3. The DEGs and their GOs between dodders grown on WT and AOC-RNAi tobacco plants under normal conditions.
DOI: 10.6084/m9.figshare.11321594.v1
title: MOESM4 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 4: Table S3. The DEGs and their GOs between dodders grown on WT and AOC-RNAi tobacco plants under normal conditions.
DOI: 10.6084/m9.figshare.11321597
title: MOESM5 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 5: Table S4. WT and AOC-RNAi tobacco transcriptomic changes after dodders were treated with CLW feeding.
DOI: 10.6084/m9.figshare.11321597.v1
title: MOESM5 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 5: Table S4. WT and AOC-RNAi tobacco transcriptomic changes after dodders were treated with CLW feeding.
DOI: 10.6084/m9.figshare.11321606
title: MOESM6 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 6: Table S5. The DEGs and their GOs of WT and AOC-RNAi tobacco plants after CLW feeding on dodders.
DOI: 10.6084/m9.figshare.11321606.v1
title: MOESM6 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 6: Table S5. The DEGs and their GOs of WT and AOC-RNAi tobacco plants after CLW feeding on dodders.
DOI: 10.6084/m9.figshare.11321609
title: MOESM7 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 7: Table S6. Transcriptomic changes of dodders on WT or AOC-RNAi tobacco after tobacco were treated with simulated CLW herbivory.
DOI: 10.6084/m9.figshare.11321609.v1
title: MOESM7 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 7: Table S6. Transcriptomic changes of dodders on WT or AOC-RNAi tobacco after tobacco were treated with simulated CLW herbivory.
DOI: 10.6084/m9.figshare.11321618
title: MOESM8 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 8: Table S7. DEGs of dodders after WT or AOC-RNAi tobacco plants were treated with simulated CLW herbivory.
DOI: 10.6084/m9.figshare.11321618.v1
title: MOESM8 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 8: Table S7. DEGs of dodders after WT or AOC-RNAi tobacco plants were treated with simulated CLW herbivory.
DOI: 10.6084/m9.figshare.11321627
title: MOESM9 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 9: Table S8. Primers used for qRT-PCR.
DOI: 10.6084/m9.figshare.11321627.v1
title: MOESM9 of The host jasmonic acid pathway regulates the transcriptomic changes of dodder and host plant under the scenario of caterpillar feeding on dodder

description: Additional file 9: Table S8. Primers used for qRT-PCR.
DOI: 10.6084/m9.figshare.12370205
title: Adaptive Process Monitoring Using Covariate Information

description: Statistical process control (SPC) charts provide a powerful tool for monitoring production lines in manufacturing industries. They are also used widely in other applications, such as sequential monitoring of internet traffic flows, disease incidences, health care systems, and more. In practice, quality/performance variables are often affected in a complex way by many covariates, such as material, labor, weather conditions, social/economic conditions, and so forth. Among all these covariates, some could be observed, some might be difficult to observe, and the others might even be difficult for us to notice their existence. Intuitively, an SPC chart could be improved by using helpful information in covariates. However, because of the complex relationship between the quality/performance variables and the covariates, shifts in the quality/performance variables could be due to certain covariates whose data cannot be collected. On the other hand, shifts in some observable covariates may not necessarily cause shifts in the quality/performance variables. Thus, it is challenging to properly use covariate information for process monitoring in a general setting. This article suggests a method to handle this problem. An effective exponentially weighted moving average chart is developed, in which its weighting parameter is chosen large if the related covariates included in the collected data tend to have a shift and small otherwise. Because the covariate information is used in the weighting parameter only, the chart is designed solely for detecting shifts in the quality/performance variables, but it can react to a future shift in the quality/performance variables quickly because the helpful covariate information has been used in its observation weighting mechanism. Extensive numerical studies show that this method is effective in many different cases.
DOI: 10.6084/m9.figshare.13943067
title: Petrogenesis and tectonic implications of Early Paleozoic granitoids in the Qiaerlong district of the West Kunlun orogenic belt: constraints from petrology, geochronology, and Sr-Nd-Hf isotope geochemistry

description: The West Kunlun orogenic belt (WKOB) is a complex orogenic belt that preserves the evidence of Early Palaeozoic and Late Palaeozoic orogenic events, with the former resulting from the closure of the Proto-Tethys Ocean. To better reveal the relationships between Early Palaeozoic granitoids in the WKOB and the tectonic evolution of the Proto-Tethys Ocean, we analysed the rocks of Akedala pluton, which is exposed within the Qiaerlong basin, and compared the results with contemporaneous magmatic rocks elsewhere in the WKOB. Integrated petrology, geochronology, and Sr–Nd–Hf isotope analyses of the rocks revealed the following: (1) The Akedala pluton is mainly composed of metaluminous–peraluminous I-type quartz monzonite and monzogranite; U–Pb dating of zircon indicates that quartz monzonite and monzogranite components is emplaced at 473–479 Ma and 462 Ma, respectively. (2) Both of them were enriched in large-ion lithophile elements and light rare earth elements and depleted in high field strength elements with negative Nb, Ta, Zr, P and Ti anomalies, indicating that they formed in a subduction zone environment. (3) Quartz monzonites were enriched in MgO concentrations (&gt;3.10 wt.%), and show variable whole rock Sr-Nd isotopic ratios ((<sup>87</sup>Sr/<sup>86</sup>Sr)<sub>i</sub> = 0.7042–0.7058, ε<sub>Nd</sub>(t) = – 0.4 to +1.1), and had positive zircon ε<sub>Hf</sub>(t) (+0.0 to +6.8) values, which suggests they are derived from a mixed source of juvenile crust and older lower crust. (4) Monzogranites were characterized by high Sr (461–804 ppm) and low Y (2.00–3.68 ppm) and Yb (0.19–0.31 ppm) contents with high Sr/Y (164–325) and (La/Yb)<sub>N</sub> (12.6–46.7) ratios, indicating an adakitic affinity; they had relatively homogeneous whole rock (<sup>87</sup>Sr/<sup>86</sup>Sr)<sub>i</sub> (0.7044–0.7045) and positive ε<sub>Nd</sub>(t) (+2.0 to +2.9) and positive zircon ε<sub>Hf</sub>(t) (+1.1 to +4.3) values with low MgO, Cr, Ni and Nb contexts, suggesting that they were mainly generated from partial melting of thickened lower crust. Comparative analysis of these results with other Early Palaeozoic arc magmas in the WKOB shows that the Akedala pluton was formed due to the southward subduction of the Proto-Tethys Ocean. Divergent bidirectional subduction of the Proto-Tethys Ocean was initiated in the Early Cambrian, continued through the Middle Ordovician, and ended in the Early Silurian, due to terminal collision between the Tarim block and the West Kunlun terrane, which created the Early Palaeozoic orogenic belt.
DOI: 10.6084/m9.figshare.13943067.v1
title: Petrogenesis and tectonic implications of Early Paleozoic granitoids in the Qiaerlong district of the West Kunlun orogenic belt: constraints from petrology, geochronology, and Sr-Nd-Hf isotope geochemistry

description: The West Kunlun orogenic belt (WKOB) is a complex orogenic belt that preserves the evidence of Early Palaeozoic and Late Palaeozoic orogenic events, with the former resulting from the closure of the Proto-Tethys Ocean. To better reveal the relationships between Early Palaeozoic granitoids in the WKOB and the tectonic evolution of the Proto-Tethys Ocean, we analysed the rocks of Akedala pluton, which is exposed within the Qiaerlong basin, and compared the results with contemporaneous magmatic rocks elsewhere in the WKOB. Integrated petrology, geochronology, and Sr–Nd–Hf isotope analyses of the rocks revealed the following: (1) The Akedala pluton is mainly composed of metaluminous–peraluminous I-type quartz monzonite and monzogranite; U–Pb dating of zircon indicates that quartz monzonite and monzogranite components is emplaced at 473–479 Ma and 462 Ma, respectively. (2) Both of them were enriched in large-ion lithophile elements and light rare earth elements and depleted in high field strength elements with negative Nb, Ta, Zr, P and Ti anomalies, indicating that they formed in a subduction zone environment. (3) Quartz monzonites were enriched in MgO concentrations (&gt;3.10 wt.%), and show variable whole rock Sr-Nd isotopic ratios ((<sup>87</sup>Sr/<sup>86</sup>Sr)<sub>i</sub> = 0.7042–0.7058, ε<sub>Nd</sub>(t) = – 0.4 to +1.1), and had positive zircon ε<sub>Hf</sub>(t) (+0.0 to +6.8) values, which suggests they are derived from a mixed source of juvenile crust and older lower crust. (4) Monzogranites were characterized by high Sr (461–804 ppm) and low Y (2.00–3.68 ppm) and Yb (0.19–0.31 ppm) contents with high Sr/Y (164–325) and (La/Yb)<sub>N</sub> (12.6–46.7) ratios, indicating an adakitic affinity; they had relatively homogeneous whole rock (<sup>87</sup>Sr/<sup>86</sup>Sr)<sub>i</sub> (0.7044–0.7045) and positive ε<sub>Nd</sub>(t) (+2.0 to +2.9) and positive zircon ε<sub>Hf</sub>(t) (+1.1 to +4.3) values with low MgO, Cr, Ni and Nb contexts, suggesting that they were mainly generated from partial melting of thickened lower crust. Comparative analysis of these results with other Early Palaeozoic arc magmas in the WKOB shows that the Akedala pluton was formed due to the southward subduction of the Proto-Tethys Ocean. Divergent bidirectional subduction of the Proto-Tethys Ocean was initiated in the Early Cambrian, continued through the Middle Ordovician, and ended in the Early Silurian, due to terminal collision between the Tarim block and the West Kunlun terrane, which created the Early Palaeozoic orogenic belt.
DOI: 10.6084/m9.figshare.12370205.v1
title: Adaptive Process Monitoring Using Covariate Information

description: Statistical process control (SPC) charts provide a powerful tool for monitoring production lines in manufacturing industries. They are also used widely in other applications, such as sequential monitoring of internet traffic flows, disease incidences, health care systems, and more. In practice, quality/performance variables are often affected in a complex way by many covariates, such as material, labor, weather conditions, social/economic conditions, and so forth. Among all these covariates, some could be observed, some might be difficult to observe, and the others might even be difficult for us to notice their existence. Intuitively, an SPC chart could be improved by using helpful information in covariates. However, because of the complex relationship between the quality/performance variables and the covariates, shifts in the quality/performance variables could be due to certain covariates whose data cannot be collected. On the other hand, shifts in some observable covariates may not necessarily cause shifts in the quality/performance variables. Thus, it is challenging to properly use covariate information for process monitoring in a general setting. This article suggests a method to handle this problem. An effective exponentially weighted moving average chart is developed, in which its weighting parameter is chosen large if the related covariates included in the collected data tend to have a shift and small otherwise. Because the covariate information is used in the weighting parameter only, the chart is designed solely for detecting shifts in the quality/performance variables, but it can react to a future shift in the quality/performance variables quickly because the helpful covariate information has been used in its observation weighting mechanism. Extensive numerical studies show that this method is effective in many different cases.
DOI: 10.6084/m9.figshare.12370205.v2
title: Adaptive Process Monitoring Using Covariate Information

description: Statistical process control (SPC) charts provide a powerful tool for monitoring production lines in manufacturing industries. They are also used widely in other applications, such as sequential monitoring of internet traffic flows, disease incidences, health care systems, and more. In practice, quality/performance variables are often affected in a complex way by many covariates, such as material, labor, weather conditions, social/economic conditions, and so forth. Among all these covariates, some could be observed, some might be difficult to observe, and the others might even be difficult for us to notice their existence. Intuitively, an SPC chart could be improved by using helpful information in covariates. However, because of the complex relationship between the quality/performance variables and the covariates, shifts in the quality/performance variables could be due to certain covariates whose data cannot be collected. On the other hand, shifts in some observable covariates may not necessarily cause shifts in the quality/performance variables. Thus, it is challenging to properly use covariate information for process monitoring in a general setting. This article suggests a method to handle this problem. An effective exponentially weighted moving average chart is developed, in which its weighting parameter is chosen large if the related covariates included in the collected data tend to have a shift and small otherwise. Because the covariate information is used in the weighting parameter only, the chart is designed solely for detecting shifts in the quality/performance variables, but it can react to a future shift in the quality/performance variables quickly because the helpful covariate information has been used in its observation weighting mechanism. Extensive numerical studies show that this method is effective in many different cases.
DOI: 10.6084/m9.figshare.24953132
title: Additional file 1 of Evaluation of the causal effects of blood metabolites on irritable bowel syndrome: Mendelian randomization

description: Additional file 1.
DOI: 10.6084/m9.figshare.24953132.v1
title: Additional file 1 of Evaluation of the causal effects of blood metabolites on irritable bowel syndrome: Mendelian randomization

description: Additional file 1.
DOI: 10.6084/m9.figshare.19185898
title: Additional file 1 of From desert to monsoon: irreversible climatic transition at ~ 36 Ma in southeastern Tibetan Plateau

description: Additional file 1. Supplementary materials.
DOI: 10.6084/m9.figshare.19185898.v1
title: Additional file 1 of From desert to monsoon: irreversible climatic transition at ~ 36 Ma in southeastern Tibetan Plateau

description: Additional file 1. Supplementary materials.
DOI: 10.6084/m9.figshare.11321669
title: MOESM2 of Patterns of symptoms before a diagnosis of first episode psychosis: a latent class analysis of UK primary care electronic health records

description: Additional file 2. Definitions (psychosis, prodromal symptom and antipsychotic medication).
DOI: 10.6084/m9.figshare.11321669.v1
title: MOESM2 of Patterns of symptoms before a diagnosis of first episode psychosis: a latent class analysis of UK primary care electronic health records

description: Additional file 2. Definitions (psychosis, prodromal symptom and antipsychotic medication).
DOI: 10.6084/m9.figshare.21283293
title: S/N value of illuminance uniformity

description: This document describes the basic drawing data of Figure 3 (a)
DOI: 10.6084/m9.figshare.21283293.v1
title: S/N value of illuminance uniformity

description: This document describes the basic drawing data of Figure 3 (a)
DOI: 10.6084/m9.figshare.21283296
title: S/N value of Color mixing uniformity

description: This document describes the basic drawing data of Figure 3 (b)
DOI: 10.6084/m9.figshare.21283296.v1
title: S/N value of Color mixing uniformity

description: This document describes the basic drawing data of Figure 3 (b)
DOI: 10.6084/m9.figshare.21283299
title: illuminance distribution map to the A1B3C3D2 structure

description: This document describes the data of each point in the A1B3C3D2 structure irradiance distribution map
DOI: 10.6084/m9.figshare.21283299.v1
title: illuminance distribution map to the A1B3C3D2 structure

description: This document describes the data of each point in the A1B3C3D2 structure irradiance distribution map
DOI: 10.6084/m9.figshare.21283308
title: chroma distribution map to the A1B3C3D2 structure

description: This document describes the chromaticity coordinates of each point in A1B3C3D2 structure chromaticity distribution diagram
DOI: 10.6084/m9.figshare.21283308.v1
title: chroma distribution map to the A1B3C3D2 structure

description: This document describes the chromaticity coordinates of each point in A1B3C3D2 structure chromaticity distribution diagram
DOI: 10.6084/m9.figshare.21283311
title: full-color mixed color map to the A1B3C3D2 structure

description: This document describes the chromaticity coordinates of each point in the A1B3C3D2 structure full-color distribution diagram
DOI: 10.6084/m9.figshare.21283311.v1
title: full-color mixed color map to the A1B3C3D2 structure

description: This document describes the chromaticity coordinates of each point in the A1B3C3D2 structure full-color distribution diagram
DOI: 10.6084/m9.figshare.11846130
title: Additional file 10 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 10: Table S4. MSigDB database canonical pathways associated with gestational age differential expression from midtrimester to term. Columns are as shown in the Table S3 legend
DOI: 10.6084/m9.figshare.11846130.v1
title: Additional file 10 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 10: Table S4. MSigDB database canonical pathways associated with gestational age differential expression from midtrimester to term. Columns are as shown in the Table S3 legend
DOI: 10.6084/m9.figshare.21283320
title: Variation curves of illumination uniformityand color mixing uniformity with impact factor E

description: This document describes the basic drawing data of Figure 5
DOI: 10.6084/m9.figshare.21283320.v1
title: Variation curves of illumination uniformityand color mixing uniformity with impact factor E

description: This document describes the basic drawing data of Figure 5
DOI: 10.6084/m9.figshare.11846142
title: Additional file 11 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 11: Table S5. Gene Atlas-based tissues and cell types associated with increased expression in term vs midtrimester samples. Columns are as shown in the Table S3 legend
DOI: 10.6084/m9.figshare.11846142.v1
title: Additional file 11 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 11: Table S5. Gene Atlas-based tissues and cell types associated with increased expression in term vs midtrimester samples. Columns are as shown in the Table S3 legend
DOI: 10.6084/m9.figshare.11846154
title: Additional file 12 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 12: Table S6. Gene Atlas-based tissues and cell types associated with increased expression in midtrimester vs term samples. Columns are as shown in the Table S3 legend
DOI: 10.6084/m9.figshare.11846154.v1
title: Additional file 12 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 12: Table S6. Gene Atlas-based tissues and cell types associated with increased expression in midtrimester vs term samples. Columns are as shown in the Table S3 legend
DOI: 10.6084/m9.figshare.21283338
title: Change trend of side length of lighting area with impact factors

description: This document describes the basic drawing data of Figure 6
DOI: 10.6084/m9.figshare.21283338.v1
title: Change trend of side length of lighting area with impact factors

description: This document describes the basic drawing data of Figure 6
DOI: 10.6084/m9.figshare.11846160
title: Additional file 13 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 13: Table S7. Genes differentially spliced with gestational age (term versus midtrimester). The table includes results for the single most-significant exon or exon junction based on splicing index analysis. The columns include the Affymetrix transcript cluster identifier (ID), gene symbol, gene name, probeset identifier, exon splicing index, corresponding p-value, adjusted p-value, name of the alternative splicing event type, and adjusted p-value based on the diffSplice algorithm
DOI: 10.6084/m9.figshare.11846160.v1
title: Additional file 13 of Amniotic fluid cell-free transcriptome: a glimpse into fetal development and placental cellular dynamics during normal pregnancy

description: Additional file 13: Table S7. Genes differentially spliced with gestational age (term versus midtrimester). The table includes results for the single most-significant exon or exon junction based on splicing index analysis. The columns include the Affymetrix transcript cluster identifier (ID), gene symbol, gene name, probeset identifier, exon splicing index, corresponding p-value, adjusted p-value, name of the alternative splicing event type, and adjusted p-value based on the diffSplice algorithm