cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5852907
title: MOESM8 of Transcriptome analysis of the digestive system of a wood-feeding termite (Coptotermes formosanus) revealed a unique mechanism for effective biomass degradation

description: Additional file 8: Table S5. Primers for quantitative RT-PCR. All the candidate genes were from Fig.Â 6.
DOI: 10.6084/m9.figshare.5852907.v1
title: MOESM8 of Transcriptome analysis of the digestive system of a wood-feeding termite (Coptotermes formosanus) revealed a unique mechanism for effective biomass degradation

description: Additional file 8: Table S5. Primers for quantitative RT-PCR. All the candidate genes were from Fig.Â 6.
DOI: 10.6084/m9.figshare.5853240
title: Additional file 2: of Global health trials methodological research agenda: results from a priority setting exercise

description: Categories for Survey Round 2 v1.0. (XLSX 96 kb)
DOI: 10.6084/m9.figshare.5853240.v1
title: Additional file 2: of Global health trials methodological research agenda: results from a priority setting exercise

description: Categories for Survey Round 2 v1.0. (XLSX 96 kb)
DOI: 10.6084/m9.figshare.5853420
title: The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

description: Abstract 

<b><i>Key message </i></b><b>Plantation</b><b> type and age strongly influence the
quantity of carbon stored in forest ecosystems. </b><b>The marked increase in total ecosystem carbon
stock achieved over time by the <i>Eucalyptus</i>
and <i>Acacia</i> plantations has confirmed
that the afforestation of degraded soils can contribute positively to carbon
sequestration.</b><b> </b><b></b>

·<b><i>Context</i></b> Reforestation has been widely conducted to
restore and protect the eroded red soil in south China in recent decades. The
question as to whether the content of soil organic carbon (SOC) can be
boosted by establishing plantations of fast-growing tree species remains unresolved. 

<b><i>·</i></b><b><i>Aim </i></b>We addressed whether the afforestation of
degraded soils can contribute positively to carbon sequestration, and whether
the accumulation of SOC is more effective under a nitrogen fixing species such
as <i>Acacia</i> than under <i>Eucalyptus</i>.

·<b><i>Methods</i></b> Here, a
study was undertaken to measure the quantity of total ecosystem carbon (TEC)
accumulated by plantations of both <i>Eucalyptus
</i>and<i> Acacia</i> spp. in the Pearl
River Delta region of southern China. 

·<b><i>Results </i></b>The quantity
of TEC increased significantly with stand age in both plantation types (<i>P</i> &lt; 0.05). The largest single
component of TEC was SOC, with stand age having a considerable effect on both
SOC and overall biomass. The accumulation of SOC in the top 100 cm of the soil
profile was higher under <i>Acacia</i> than
under <i>Eucalyptus</i> (<i>P </i>&lt; 0.05). <b></b>



·<b><i>Conclusion </i></b>In
terms of carbon sequestration, the afforestation of <i>Eucalyptus </i>and<i> Acacia</i> represent an effective forest management practice. The accumulation of SOC
is more effective under <i>Acacia</i> than
under <i>Eucalyptus</i><b></b>
DOI: 10.6084/m9.figshare.5853420.v1
title: The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

description: Abstract 

<b><i>Key message </i></b><b>Plantation</b><b> type and age strongly influence the
quantity of carbon stored in forest ecosystems. </b><b>The marked increase in total ecosystem carbon
stock achieved over time by the <i>Eucalyptus</i>
and <i>Acacia</i> plantations has confirmed
that the afforestation of degraded soils can contribute positively to carbon
sequestration.</b><b> </b><b></b>

·<b><i>Context</i></b> Reforestation has been widely conducted to
restore and protect the eroded red soil in south China in recent decades. The
question as to whether the content of soil organic carbon (SOC) can be
boosted by establishing plantations of fast-growing tree species remains unresolved. 

<b><i>·</i></b><b><i>Aim </i></b>We addressed whether the afforestation of
degraded soils can contribute positively to carbon sequestration, and whether
the accumulation of SOC is more effective under a nitrogen fixing species such
as <i>Acacia</i> than under <i>Eucalyptus</i>.

·<b><i>Methods</i></b> Here, a
study was undertaken to measure the quantity of total ecosystem carbon (TEC)
accumulated by plantations of both <i>Eucalyptus
</i>and<i> Acacia</i> spp. in the Pearl
River Delta region of southern China. 

·<b><i>Results </i></b>The quantity
of TEC increased significantly with stand age in both plantation types (<i>P</i> &lt; 0.05). The largest single
component of TEC was SOC, with stand age having a considerable effect on both
SOC and overall biomass. The accumulation of SOC in the top 100 cm of the soil
profile was higher under <i>Acacia</i> than
under <i>Eucalyptus</i> (<i>P </i>&lt; 0.05). <b></b>



·<b><i>Conclusion </i></b>In
terms of carbon sequestration, the afforestation of <i>Eucalyptus </i>and<i> Acacia</i> represent an effective forest management practice. The accumulation of SOC
is more effective under <i>Acacia</i> than
under <i>Eucalyptus</i><b></b>
DOI: 10.6084/m9.figshare.5853420.v2
title: The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

description: Abstract 

<b><i>Key message </i></b><b>Plantation</b><b> type and age strongly influence the
quantity of carbon stored in forest ecosystems. </b><b>The marked increase in total ecosystem carbon
stock achieved over time by the <i>Eucalyptus</i>
and <i>Acacia</i> plantations has confirmed
that the afforestation of degraded soils can contribute positively to carbon
sequestration.</b><b> </b><b></b>

·<b><i>Context</i></b> Reforestation has been widely conducted to
restore and protect the eroded red soil in south China in recent decades. The
question as to whether the content of soil organic carbon (SOC) can be
boosted by establishing plantations of fast-growing tree species remains unresolved. 

<b><i>·</i></b><b><i>Aim </i></b>We addressed whether the afforestation of
degraded soils can contribute positively to carbon sequestration, and whether
the accumulation of SOC is more effective under a nitrogen fixing species such
as <i>Acacia</i> than under <i>Eucalyptus</i>.

·<b><i>Methods</i></b> Here, a
study was undertaken to measure the quantity of total ecosystem carbon (TEC)
accumulated by plantations of both <i>Eucalyptus
</i>and<i> Acacia</i> spp. in the Pearl
River Delta region of southern China. 

·<b><i>Results </i></b>The quantity
of TEC increased significantly with stand age in both plantation types (<i>P</i> &lt; 0.05). The largest single
component of TEC was SOC, with stand age having a considerable effect on both
SOC and overall biomass. The accumulation of SOC in the top 100 cm of the soil
profile was higher under <i>Acacia</i> than
under <i>Eucalyptus</i> (<i>P </i>&lt; 0.05). <b></b>



·<b><i>Conclusion </i></b>In
terms of carbon sequestration, the afforestation of <i>Eucalyptus </i>and<i> Acacia</i> represent an effective forest management practice. The accumulation of SOC
is more effective under <i>Acacia</i> than
under <i>Eucalyptus</i><b></b>
DOI: 10.6084/m9.figshare.5853420.v3
title: The dynamics of carbon accumulation in Eucalyptus and Acacia plantations in the Pearl River delta region

description: Abstract 

<b><i>Key message </i></b><b>Plantation</b><b> type and age strongly influence the
quantity of carbon stored in forest ecosystems. </b><b>The marked increase in total ecosystem carbon
stock achieved over time by the <i>Eucalyptus</i>
and <i>Acacia</i> plantations has confirmed
that the afforestation of degraded soils can contribute positively to carbon
sequestration.</b><b> </b><b></b>

·<b><i>Context</i></b> Reforestation has been widely conducted to
restore and protect the eroded red soil in south China in recent decades. The
question as to whether the content of soil organic carbon (SOC) can be
boosted by establishing plantations of fast-growing tree species remains unresolved. 

<b><i>·</i></b><b><i>Aim </i></b>We addressed whether the afforestation of
degraded soils can contribute positively to carbon sequestration, and whether
the accumulation of SOC is more effective under a nitrogen fixing species such
as <i>Acacia</i> than under <i>Eucalyptus</i>.

·<b><i>Methods</i></b> Here, a
study was undertaken to measure the quantity of total ecosystem carbon (TEC)
accumulated by plantations of both <i>Eucalyptus
</i>and<i> Acacia</i> spp. in the Pearl
River Delta region of southern China. 

·<b><i>Results </i></b>The quantity
of TEC increased significantly with stand age in both plantation types (<i>P</i> &lt; 0.05). The largest single
component of TEC was SOC, with stand age having a considerable effect on both
SOC and overall biomass. The accumulation of SOC in the top 100 cm of the soil
profile was higher under <i>Acacia</i> than
under <i>Eucalyptus</i> (<i>P </i>&lt; 0.05). <b></b>



·<b><i>Conclusion </i></b>In
terms of carbon sequestration, the afforestation of <i>Eucalyptus </i>and<i> Acacia</i> represent an effective forest management practice. The accumulation of SOC
is more effective under <i>Acacia</i> than
under <i>Eucalyptus</i><b></b>
DOI: 10.6084/m9.figshare.5856975
title: Additional file 1: of Equity and efficiency of medical service systems at the provincial level of Chinaâ s mainland: a comparative study from 2009 to 2014

description: The details of 10 possible influencing factors of each DMU from 2009 to 2014. (XLS 73 kb)
DOI: 10.6084/m9.figshare.5856975.v1
title: Additional file 1: of Equity and efficiency of medical service systems at the provincial level of Chinaâ s mainland: a comparative study from 2009 to 2014

description: The details of 10 possible influencing factors of each DMU from 2009 to 2014. (XLS 73 kb)
DOI: 10.6084/m9.figshare.5857089
title: Additional file 1: Figure S1. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Correlation coefficients among the three biological replicates of TAA10 and XX329 by Pearson correlation analysis. (XLSX 2028 kb)
DOI: 10.6084/m9.figshare.5857089.v1
title: Additional file 1: Figure S1. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Correlation coefficients among the three biological replicates of TAA10 and XX329 by Pearson correlation analysis. (XLSX 2028 kb)
DOI: 10.6084/m9.figshare.5857107
title: Additional file 2: Table S1. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Detailed information of the 8891 differentially expressed genes between the natural and resynthesized allohexaploid wheats (TAA10 and XX329). (XLSX 473Â kb)
DOI: 10.6084/m9.figshare.5857107.v1
title: Additional file 2: Table S1. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Detailed information of the 8891 differentially expressed genes between the natural and resynthesized allohexaploid wheats (TAA10 and XX329). (XLSX 473Â kb)
DOI: 10.6084/m9.figshare.5857122
title: Additional file 3: Table S6. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Detailed information of genes used for qRT-PCR analysis. (XLSX 69Â kb)
DOI: 10.6084/m9.figshare.5857122.v1
title: Additional file 3: Table S6. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Detailed information of genes used for qRT-PCR analysis. (XLSX 69Â kb)
DOI: 10.6084/m9.figshare.5857146
title: Additional file 4: Table S2. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: The MapMan functional categories of the differentially expressed genes between the natural and resynthesized allohexaploid wheats (TAA10 and XX329). (XLSX 27Â kb)
DOI: 10.6084/m9.figshare.5857146.v1
title: Additional file 4: Table S2. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: The MapMan functional categories of the differentially expressed genes between the natural and resynthesized allohexaploid wheats (TAA10 and XX329). (XLSX 27Â kb)
DOI: 10.6084/m9.figshare.5857164
title: Additional file 5: Table S3. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: The MapMan enrichment analysis of the differentially expressed genes between the natural and resynthesized allohexaploid wheats (TAA10 and XX329). (XLSX 22Â kb)
DOI: 10.6084/m9.figshare.5857164.v1
title: Additional file 5: Table S3. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: The MapMan enrichment analysis of the differentially expressed genes between the natural and resynthesized allohexaploid wheats (TAA10 and XX329). (XLSX 22Â kb)
DOI: 10.6084/m9.figshare.5857185
title: Additional file 6: Figure S2. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Verification of 5 differentially expressed genes involved in carbohydrate metabolism by qRT-PCR. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.5857185.v1
title: Additional file 6: Figure S2. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: Verification of 5 differentially expressed genes involved in carbohydrate metabolism by qRT-PCR. (XLSX 12Â kb)
DOI: 10.6084/m9.figshare.5857203
title: Additional file 7: Table S4. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: The differentially expressed genes in the enriched MapMan categories of cell wall metabolism. (XLSX 33Â kb)
DOI: 10.6084/m9.figshare.5857203.v1
title: Additional file 7: Table S4. of Transcriptome analysis reveals potential mechanisms for different grain size between natural and resynthesized allohexaploid wheats with near-identical AABB genomes

description: The differentially expressed genes in the enriched MapMan categories of cell wall metabolism. (XLSX 33Â kb)
DOI: 10.6084/m9.figshare.5857344
title: Additional file 2: Table S1. of Spatial scale affects the relative role of stochasticity versus determinism in soil bacterial communities in wheat fields across the North China Plain

description: Relative average abundance of bacterial phyla classified with RDPII taxonomy using the Greengenes database ( http://greengenes.lbl.gov/ ) across all soils. (North China Plain). Table S2. Relative average abundance of dominant bacterial group classified with RDPII taxonomy using the Greengenes database ( http://greengenes.lbl.gov/ ) across all soils (North China Plain). Table S3. Variation in median βNTI values at different spatial scales and the relative contribution (%) of deterministic and stochastic process in each spatial scale (Tibetan Plateau). Table S4. Correlation between soil characteristics and bacterial community structure determined by Mantel tests (P &lt; 0.05, permutation = 999) (North China Plain). Table S5. Variance of bacterial community explained by soil characteristics (North China Plain). The percentage of explained variance of each variable was calculated by DistLM forward3 (P &lt; 0.05, permutation = 999). Significant values are in bold. For the abbreviations, please see Table S4. Table S6. Pearson correlation between bacterial α-diversity indices and soil characteristics with rarefaction of 20,005 sequences per sample (North China Plain). Significant values are in bold. For the abbreviations, please see Table S4. Table S7. Correlation between climate factors and bacterial community structure determined by Mantel tests (P &lt; 0.05, permutation = 999) (North China Plain). Significant values are in bold. Table S8. Geographic coordinates of sampling sites. Coordinates are shown using the WGS-84 coordinate system. Table S9. Soil physiochemical characteristics among all sampling sites. Values in brackets denote standard deviation (North China Plain). For the abbreviations, please see Table S4. Table S10. Alpha diversity of all sampling sites with rarefaction of 20,005 sequences per sample (North China Plain). Table S11. Location information of sampling sites in Tibetan Plateau. In addition, the followed annotations and the abbreviations of tables can be the footnotes of the tables. (ZIP 551 kb)
DOI: 10.6084/m9.figshare.5857344.v1
title: Additional file 2: Table S1. of Spatial scale affects the relative role of stochasticity versus determinism in soil bacterial communities in wheat fields across the North China Plain

description: Relative average abundance of bacterial phyla classified with RDPII taxonomy using the Greengenes database ( http://greengenes.lbl.gov/ ) across all soils. (North China Plain). Table S2. Relative average abundance of dominant bacterial group classified with RDPII taxonomy using the Greengenes database ( http://greengenes.lbl.gov/ ) across all soils (North China Plain). Table S3. Variation in median βNTI values at different spatial scales and the relative contribution (%) of deterministic and stochastic process in each spatial scale (Tibetan Plateau). Table S4. Correlation between soil characteristics and bacterial community structure determined by Mantel tests (P &lt; 0.05, permutation = 999) (North China Plain). Table S5. Variance of bacterial community explained by soil characteristics (North China Plain). The percentage of explained variance of each variable was calculated by DistLM forward3 (P &lt; 0.05, permutation = 999). Significant values are in bold. For the abbreviations, please see Table S4. Table S6. Pearson correlation between bacterial α-diversity indices and soil characteristics with rarefaction of 20,005 sequences per sample (North China Plain). Significant values are in bold. For the abbreviations, please see Table S4. Table S7. Correlation between climate factors and bacterial community structure determined by Mantel tests (P &lt; 0.05, permutation = 999) (North China Plain). Significant values are in bold. Table S8. Geographic coordinates of sampling sites. Coordinates are shown using the WGS-84 coordinate system. Table S9. Soil physiochemical characteristics among all sampling sites. Values in brackets denote standard deviation (North China Plain). For the abbreviations, please see Table S4. Table S10. Alpha diversity of all sampling sites with rarefaction of 20,005 sequences per sample (North China Plain). Table S11. Location information of sampling sites in Tibetan Plateau. In addition, the followed annotations and the abbreviations of tables can be the footnotes of the tables. (ZIP 551 kb)
DOI: 10.6084/m9.figshare.5857572
title: Additional file 1: of Estimation of the incidence of severe fever with thrombocytopenia syndrome in high endemic areas in China: an inpatient-based retrospective study

description: SFTSV antibody detection results of 246 patients. The detailed IgM and IgG antibody OD value of sera collected from 246 patients were showed in this Additional file 1. (XLSX 26Â kb)
DOI: 10.6084/m9.figshare.5861082
title: Data. three files.rar

description: File 1. The densities of species in aboveground vegetation per m2 in three wetlands. File 2. The densities of species in the soil seed banks per site in two seasons and three wetlands. File 3. Mean value and standard err of soil environmental factors data in three wetlands.<br>The related paper has been accepted by Ecological Applications.<br><b>Ma M,</b> Walck JL, Ma Z, Wang L, Du G. 2018. Grazing disturbance
increases transient but decreases persistent soil seed bank. <b><i>Ecological
Applications</i></b>. Accepted.<br><br>
DOI: 10.6084/m9.figshare.5861082.v1
title: Data. three files.rar

description: File 1. The densities of species in aboveground vegetation per m2 in three wetlands. File 2. The densities of species in the soil seed banks per site in two seasons and three wetlands. File 3. Mean value and standard err of soil environmental factors data in three wetlands.<br>The related paper has been accepted by Ecological Applications.<br><b>Ma M,</b> Walck JL, Ma Z, Wang L, Du G. 2018. Grazing disturbance
increases transient but decreases persistent soil seed bank. <b><i>Ecological
Applications</i></b>. Accepted.<br><br>
DOI: 10.6084/m9.figshare.5861334
title: Protective effect of dexmedetomidine against myocardial ischemia-reperfusion injury in rabbits

description: Abstract Purpose: To investigate the influence of dexmedetomidine on myocardial ischemia-reperfusion injury (IRI) in rabbits. Methods: Twenty-four New Zealand white rabbits were randomly divided into two equal-sized groups: IRI group (group IR) and dexmedetomidine group (group D). Systolic blood pressure (SBP), diastolic blood pressure (DBP), heart rate (HR), left ventricular systolic pressure (LVSP), left ventricular end-diastolic pressure (LVEDP), left ventricular diastolic pressure (LVDP), +dp/dtmax, -dp/dtmax, and t-dp/dtmax were recorded and calculated at the following time points: before (T0) and after (T1) dexmedetomidine infusion, after 30-min ischemia (T2), and after 120-min reperfusion (T3). The levels of plasma endothelin 1 (ET-1), thromboxane A2 (TXA2), and platelet activating factor (PAF); area of myocardial infarction (MI); and no-reflow area were evaluated. Results: SBP, DBP, LVSP, LVEDP, LVDP, and +dp/dtmax at T3 were higher in group D than in group IR (P&lt;0.05). The average no-reflow area in group IR was significantly smaller than that in group D (14±3% vs. 38±5%, P=0.0116). The ET-1, TXA2, and PAF levels at T2 and T3 were higher than those at T0 in both groups (P&lt;0.05). Conclusion: Dexmedetomidine could reduce the magnitude of ischemic myocardial no-reflow area and protect the myocardium with ischemia-reperfusion injury.