cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12164274
title: Characterization of a novel shell matrix protein with vWA domain from Mytilus coruscus

description: Mollusk shell is a product of biomineralization with excellent mechanical properties, and the shell matrix proteins (SMPs) have important functions in shell formation. A vWA domain-containing protein (VDCP) was identified from the shell of <i>Mytilus coruscus</i> as a novel shell matrix protein. The VDCP gene is expressed at a high level in specific locations in the mantle and adductor muscle. Recombinant VDCP (rVDCP) showed abilities to alter the morphology of both calcite and aragonite, induce the polymorph change of calcite, bind calcite, and decrease the crystallization rate of calcite. In addition, immunohistochemistry analyses revealed the specific location of VDCP in the mantle, the adductor muscle, and the myostracum layer of the shell. Furthermore, a pull-down analysis revealed eight protein interaction partners of VDCP in shell matrices and provided a possible protein–protein interaction network of VDCP in the shell. Sequence characterization, recombinant expression, biomineralization-related function, and localization of a vWA domain-containing protein (VDCP) identified from <i>Mytilus corusus</i> shell.
DOI: 10.6084/m9.figshare.7969988
title: Figure 10 from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Deviation of the thermal conductivities of the INFs from that of the BL.
DOI: 10.6084/m9.figshare.7969997
title: Figure 14. from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Comparison of the predicted relative specific heat capacity with the experimental data for the INFs at 303.15K.
DOI: 10.6084/m9.figshare.13212769.v1
title: Additional file 6 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 6: Supplemental Table 2. Clinical characteristics and NTRS groups of the training cohort (n = 660).
DOI: 10.6084/m9.figshare.7969970.v1
title: Figure 9 (a) from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Thermal conductivity versus temperature.
DOI: 10.6084/m9.figshare.7969982
title: Figure 11 from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Comparison of the predicted relative thermal conductivity with the experimental data for the INFs at 293.15K.
DOI: 10.6084/m9.figshare.7970006.v1
title: Figure 12 (a) from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Specific heat capacity of the INFs as a function of temperature.
DOI: 10.6084/m9.figshare.13212751.v1
title: Additional file 10 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 10: Supplemental Table 6. The list of 251 genes filtered by Univariate Cox regression analysis.
DOI: 10.6084/m9.figshare.13212769
title: Additional file 6 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 6: Supplemental Table 2. Clinical characteristics and NTRS groups of the training cohort (n = 660).
DOI: 10.6084/m9.figshare.13212775
title: Additional file 8 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 8: Supplemental Table 4. The sequences of the primers.
DOI: 10.6084/m9.figshare.13212775.v1
title: Additional file 8 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 8: Supplemental Table 4. The sequences of the primers.
DOI: 10.6084/m9.figshare.7970000.v1
title: Figure 12 (b) from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Specific heat capacity versus mass fraction.
DOI: 10.6084/m9.figshare.13212772
title: Additional file 7 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 7: Supplemental Table 3. Clinicopathological characteristics and NTRS groups of the validation cohort (n = 668).
DOI: 10.6084/m9.figshare.13212772.v1
title: Additional file 7 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 7: Supplemental Table 3. Clinicopathological characteristics and NTRS groups of the validation cohort (n = 668).
DOI: 10.6084/m9.figshare.13212778.v1
title: Additional file 9 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 9: Supplemental Table 5. The list of 336 nuclear transport related genes.
DOI: 10.6084/m9.figshare.7970006
title: Figure 12 (a) from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Specific heat capacity of the INFs as a function of temperature.
DOI: 10.6084/m9.figshare.7970009.v1
title: Figure 15 from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Local heat transfer coefficients of the falling films with different mass fractions of GNP.
DOI: 10.6084/m9.figshare.13212778
title: Additional file 9 of A nuclear transport-related gene signature combined with IDH mutation and 1p/19q codeletion better predicts the prognosis of glioma patients

description: Additional file 9: Supplemental Table 5. The list of 336 nuclear transport related genes.
DOI: 10.6084/m9.figshare.16880363
title: Additional file 4 of Smoothness metrics for reaching performance after stroke. Part 1: which one to choose?

description: Additional file 4. This compressed folder includes all MATLAB™ scripts used in the simulation analyses, and the resulting metric values.
DOI: 10.6084/m9.figshare.22650032.v1
title: Protective effects of low temperature on the risk of hospitalization for mental and behavioral disorders: a time series study

description: The high incidence of mental illness worldwide is a substantial economic burden on society. Temperature and the occurrence of mental and behavioral disorders (MDs) seem to have a relationship, but this has not been widely researched. Therefore, this study aimed to investigate the effect of temperature on the hospitalization rate of patients with MDs in a temperate monsoon climate region of northern China. Patients with MDs hospitalized in the Mental Health Center of Hebei Medical University and Psychology Department in The third Hospital of Shijiazhuang, China, from January 2014 to December 2019 were included in the study. The delayed exposure – response relationship between temperature and the number of hospitalized MDs patients was analyzed using a quasi-Poisson generalized additive model combined with a distributed lag nonlinear model. With the reference of 15.3°C (temperature with the minimum hospitalizations), the single lag effect of low temperature (−2°C, 10th percentile) increased the hospitalization of patients with MDs, while the cumulative effect decreased the risk of hospitalization for some MD subtypes; it was an acute protective effect. The single and cumulative lag effect of high temperature statistically increased the hospitalization rates of patients with MDs. The optimum temperature for each subtype was different, and the males and the younger age group were more susceptible to high temperatures. Low temperature has an acute protective effect on the hospitalization of patients with MDs. In comparison, high temperature increases hospitalization rates. Men and younger people are more affected by temperature, which provides early warning and health intervention measures for patients with corresponding temperature changes.
DOI: 10.25549/usctheses-c3-624558
title: etd-DeeSylviaG-3790~064
DOI: 10.25549/usctheses-c3-624568
title: etd-DeeSylviaG-3790~074
DOI: 10.6084/m9.figshare.16880227
title: Additional file 4 of Depth-dependent variability of biological nitrogen fixation and diazotrophic communities in mangrove sediments

description: Additional file 3: Supplementary Data 1: Assembly statistics. The completeness, contamination and classification of 67 draft metagenome-assembled genomes.
DOI: 10.6084/m9.figshare.7969991
title: Figure 8 from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Comparison between the measured values of viscosity of INFs at 303.15 K with the classical models.
DOI: 10.25549/usctheses-c3-624664
title: etd-DeeSylviaG-3790~170
DOI: 10.25549/usctheses-c3-624523
title: etd-DeeSylviaG-3790~029
DOI: 10.25549/usctheses-c3-624565
title: etd-DeeSylviaG-3790~071
DOI: 10.25549/usctheses-c3-624618
title: etd-DeeSylviaG-3790~124
DOI: 10.25549/usctheses-c3-624641
title: etd-DeeSylviaG-3790~147
DOI: 10.6084/m9.figshare.7969994.v1
title: Figure 5 from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: DSC curves for the BL, 0.05% INF and 2% INF .
DOI: 10.25549/usctheses-c3-621820
title: etd-PrasadAdit-3772~15
DOI: 10.6084/m9.figshare.7970000
title: Figure 12 (b) from Variations of thermophysical properties and heat transfer performance of nanoparticle-enhanced ionic liquids

description: Specific heat capacity versus mass fraction.
DOI: 10.25549/usctheses-c3-621807
title: etd-PrasadAdit-3772~02
DOI: 10.25549/usctheses-c3-624574
title: etd-DeeSylviaG-3790~080
DOI: 10.25549/usctheses-c3-621834
title: etd-PrasadAdit-3772~29
DOI: 10.25549/usctheses-c3-621833
title: etd-PrasadAdit-3772~28
DOI: 10.25549/usctheses-c3-624635
title: etd-DeeSylviaG-3790~141
DOI: 10.25549/usctheses-c3-624576
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DOI: 10.25549/usctheses-c3-621859
title: etd-PrasadAdit-3772~54
DOI: 10.25549/usctheses-c3-624696
title: etd-DeeSylviaG-3790~202
DOI: 10.25549/usctheses-c3-624590
title: etd-DeeSylviaG-3790~096
DOI: 10.25549/usctheses-c3-624509
title: etd-DeeSylviaG-3790~015
DOI: 10.25549/usctheses-c3-624501
title: etd-DeeSylviaG-3790~007
DOI: 10.25549/usctheses-c3-624685
title: etd-DeeSylviaG-3790~191
DOI: 10.25549/usctheses-c3-624592
title: etd-DeeSylviaG-3790~098
DOI: 10.25549/usctheses-c3-624545
title: etd-DeeSylviaG-3790~051
DOI: 10.25549/usctheses-c3-624548
title: etd-DeeSylviaG-3790~054
DOI: 10.25549/usctheses-c3-624695
title: etd-DeeSylviaG-3790~201
DOI: 10.25549/usctheses-c3-624652
title: etd-DeeSylviaG-3790~158
DOI: 10.25549/usctheses-c3-624589
title: etd-DeeSylviaG-3790~095
DOI: 10.25549/usctheses-c3-624705
title: etd-DeeSylviaG-3790~211
DOI: 10.25549/usctheses-c3-624659
title: etd-DeeSylviaG-3790~165
DOI: 10.25549/usctheses-c3-624601
title: etd-DeeSylviaG-3790~107
DOI: 10.25549/usctheses-c3-624631
title: etd-DeeSylviaG-3790~137
DOI: 10.25549/usctheses-c3-624553
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DOI: 10.25549/usctheses-c3-621826
title: etd-PrasadAdit-3772~21
DOI: 10.25549/usctheses-c3-624619
title: etd-DeeSylviaG-3790~125
DOI: 10.25549/usctheses-c3-624672
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DOI: 10.25549/usctheses-c3-621836
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DOI: 10.25549/usctheses-c3-624624
title: etd-DeeSylviaG-3790~130
DOI: 10.25549/usctheses-c3-624537
title: etd-DeeSylviaG-3790~043
DOI: 10.25549/usctheses-c3-624649
title: etd-DeeSylviaG-3790~155
DOI: 10.25549/usctheses-c3-624621
title: etd-DeeSylviaG-3790~127
DOI: 10.25549/usctheses-c3-621844
title: etd-PrasadAdit-3772~39
DOI: 10.25549/usctheses-c3-624654
title: etd-DeeSylviaG-3790~160
DOI: 10.6084/m9.figshare.22128808
title: Identification of geographic origins of <i>Morus alba</i> Linn. through surfaced enhanced Raman spectrometry and machine learning algorithms

description: The leaves of <i>Morus alba</i> Linn., which is also known as white mulberry, have been commonly used in many of traditional systems of medicine for centuries. In traditional Chinese medicine (TCM), mulberry leaf is mainly used for anti-diabetic purpose due to its enrichment in bioactive compounds such as alkaloids, flavonoids and polysaccharides. However, these components are variable due to the different habitats of the mulberry plant. Therefore, geographic origin is an important feature because it is closely associated with bioactive ingredient composition that further influences medicinal qualities and effects. As a low-cost and non-invasive method, surface enhanced Raman spectrometry (SERS) is able to generate the overall fingerprints of chemical compounds in medicinal plants, which holds the potential for the rapid identification of their geographic origins. In this study, we collected mulberry leaves from five representative provinces in China, namely, Anhui, Guangdong, Hebei, Henan and Jiangsu. SERS spectrometry was applied to characterize the fingerprints of both ethanol and water extracts of mulberry leaves, respectively. Through the combination of SERS spectra and machine learning algorithms, mulberry leaves were well discriminated with high accuracies in terms of their geographic origins, among which the deep learning algorithm convolutional neural network (CNN) showed the best performance. Taken together, our study established a novel method for predicting the geographic origins of mulberry leaves through the combination of SERS spectra with machine learning algorithms, which strengthened the application potential of the method in the quality evaluation, control and assurance of mulberry leaves. Water and ethanol extracts of mulberry leaves have different SERS fingerprints. Extracts of mulberry leaves from different geographic origins have different SERS fingerprints. SERS spectra of mulberry leaf extracts can be clustered into different groups via OPLS-DA algorithm according to geographic origins and extraction methods. Supervised machine learning algorithms are capable of predicting the geographic origins of mulberry leaf extracts via SERS spectra. Communicated by Ramaswamy H. Sarma
DOI: 10.6084/m9.figshare.22128808.v1
title: Identification of geographic origins of <i>Morus alba</i> Linn. through surfaced enhanced Raman spectrometry and machine learning algorithms

description: The leaves of <i>Morus alba</i> Linn., which is also known as white mulberry, have been commonly used in many of traditional systems of medicine for centuries. In traditional Chinese medicine (TCM), mulberry leaf is mainly used for anti-diabetic purpose due to its enrichment in bioactive compounds such as alkaloids, flavonoids and polysaccharides. However, these components are variable due to the different habitats of the mulberry plant. Therefore, geographic origin is an important feature because it is closely associated with bioactive ingredient composition that further influences medicinal qualities and effects. As a low-cost and non-invasive method, surface enhanced Raman spectrometry (SERS) is able to generate the overall fingerprints of chemical compounds in medicinal plants, which holds the potential for the rapid identification of their geographic origins. In this study, we collected mulberry leaves from five representative provinces in China, namely, Anhui, Guangdong, Hebei, Henan and Jiangsu. SERS spectrometry was applied to characterize the fingerprints of both ethanol and water extracts of mulberry leaves, respectively. Through the combination of SERS spectra and machine learning algorithms, mulberry leaves were well discriminated with high accuracies in terms of their geographic origins, among which the deep learning algorithm convolutional neural network (CNN) showed the best performance. Taken together, our study established a novel method for predicting the geographic origins of mulberry leaves through the combination of SERS spectra with machine learning algorithms, which strengthened the application potential of the method in the quality evaluation, control and assurance of mulberry leaves. Water and ethanol extracts of mulberry leaves have different SERS fingerprints. Extracts of mulberry leaves from different geographic origins have different SERS fingerprints. SERS spectra of mulberry leaf extracts can be clustered into different groups via OPLS-DA algorithm according to geographic origins and extraction methods. Supervised machine learning algorithms are capable of predicting the geographic origins of mulberry leaf extracts via SERS spectra. Communicated by Ramaswamy H. Sarma
DOI: 10.25549/usctheses-c3-624665
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DOI: 10.25549/usctheses-c3-624642
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DOI: 10.25549/usctheses-c3-624655
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DOI: 10.25549/usctheses-c3-621875
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DOI: 10.25549/usctheses-c3-624679
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DOI: 10.25549/usctheses-c3-621811
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DOI: 10.25549/usctheses-c3-624678
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DOI: 10.25549/usctheses-c3-624626
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DOI: 10.25549/usctheses-c3-624680
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DOI: 10.25549/usctheses-c3-624677
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DOI: 10.25549/usctheses-c3-624698
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DOI: 10.25549/usctheses-c3-624688
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DOI: 10.25549/usctheses-c3-624694
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DOI: 10.25549/usctheses-c3-624512
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DOI: 10.25549/usctheses-c3-621891
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DOI: 10.25549/usctheses-c3-599930
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DOI: 10.25549/usctheses-c3-624608
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DOI: 10.25549/usctheses-c3-624611
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DOI: 10.25549/usctheses-c3-624700
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DOI: 10.6084/m9.figshare.24204351.v1
title: Methane oxidation minimizes emissions and offsets to carbon burial in mangroves

description: Observations from six seawater-dominated mangrove tidal creeks across a latitudinal gradient in Australia. Field studies were undertaken in pristine mangrove tidal creeks on the northern, eastern and southern Australian coastlines over a latitudinal range covering all climatic regions relevant to mangroves. Field study sites had low lying catchments (&lt; 5.5 m) and had minimal freshwater inputs with no riverine water sources. Site characteristics followed a latitudinal trend, with an overall increased average rainfall, temperature, and mangrove diversity at lower latitudes.

Dissolved CO2 and CH4 concentrations and δ13C isotopes were measured near the mouth of mangrove tidal creeks at the six field sites. High precision concentrations and isotopes were measured using a cavity ring down spectrometer (CRDS) (Picarro G2201-I) coupled with a showerhead exchanger with a flow rate of approximately 2.8 L min-1. Concentrations and isotopes of dissolved gases were measured at one second intervals and averaged over one minute intervals. High resolution measurements of water depth and current velocity were taken at the same sites using an acoustic doppler current profiler (SonTek Argonaut), with measurements taken at one second intervals and averaged over one minute intervals. Additional water parameters (salinity, temperature and luminescent dissolved oxygen) were measured at one minute intervals using a multi-parameter water quality sonde (Hydrolab DS 5X).

Dissolved CH4 concentrations were calculated from pCH4 using the temperature and salinity dependant solubility equations of Wiesenburg and Guinasso (1979). Emissions of CH4 (FCH4) from surface waters were calculated according to:
FCH4 = kα(ΔpCH4) (Eq. 1)
where k is the transfer velocity, α is the temperature and salinity solubility and ΔpCH4 is the difference between atmospheric pCH4 and water column pCH4. The gas transfer velocity was calculated using four different empirical relationships in order to provide ranges of estimations.

In addition to the raw data of the continuous, real time measurements, we are also including the raw data of our compilation used to make the Figures 1A, 1B and 4 (Global upscaling of annual CH4 emissions and organic carbon burial in sediments of mangroves).
DOI: 10.25549/usctheses-c3-624684
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DOI: 10.25549/usctheses-c3-599883
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DOI: 10.25549/usctheses-c3-624524
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DOI: 10.25549/usctheses-c3-601230
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DOI: 10.25549/usctheses-c3-599896
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DOI: 10.6084/m9.figshare.11643435
title: MOESM7 of Comparative transcriptome analysis reveals the molecular regulation underlying the adaptive mechanism of cherry (Cerasus pseudocerasus Lindl.) to shelter covering

description: Additional file 7: Table S6. The biochemical pathway of MapMan annotation in leaves and fruits of the rain-sheltered condition.
DOI: 10.25549/usctheses-c3-621821
title: etd-PrasadAdit-3772~16