cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8216579.v1
title: pgz.zip

description: Better pluto results, with accurate conditions, capped pressure, and non zero velocity on surface. Tangential velocities act much better (now go up to 1500 m/s).
DOI: 10.6084/m9.figshare.8216576.v1
title: SVAID.zip

description: SAMA-VTOL aerial image dataset (SVAID) is a new open unmanned aerial vehicles (UAV) image dataset for a wide range of scientific projects in remote sensing.
DOI: 10.6084/m9.figshare.8216582.v1
title: The emergence of critical stocks

description: Data used in the paper "The emergence of critical stocks in market crash".<br>1. The '2015bipartite.graphml' and '2015-1_fund_stock.graphml' contains the stock networks established by the mutual funds holding data on Jun 30, 2015. While the first file has the mutual funds holding values grouped by the labels of mutual fund companies, the second one uses mutual funds holding values directly. The original data of mutual funds holding are provided by Wind Information, which is not publicly available due to Wind’s license requirement. 2. The ‘stock_style.csv’ describes which kind of investment style a stock belongs to, which is also downloaded from Wind Information. 3. The series of files named as ‘first to low *.csv’ includes the stocks which reach their limit down prices. The timing of stocks reaching limit down prices are calculated from the intraday price data provided by Thomson Reuters’ Tick History. The information of whether a stock reached its limit down price is provides by Wind Information. The original price trends data is not publicly available due to the company’s license requirement. <br>
DOI: 10.6084/m9.figshare.8216456
title: nonlinear-7-grams-number

description: 7-grams
DOI: 10.6084/m9.figshare.8216450
title: nonlinear-7-grams

description: 7-grams
DOI: 10.6084/m9.figshare.8216450.v1
title: nonlinear-7-grams

description: 7-grams
DOI: 10.6084/m9.figshare.8216438
title: nonlinear-6-grams-plot

description: 6-grams
DOI: 10.6084/m9.figshare.8216441
title: nonlinear-6-grams-number

description: 6-grams
DOI: 10.6084/m9.figshare.8216456.v1
title: nonlinear-7-grams-number

description: 7-grams
DOI: 10.6084/m9.figshare.8216432
title: nonlinear-6-grams

description: 6-grams
DOI: 10.6084/m9.figshare.8216438.v1
title: nonlinear-6-grams-plot

description: 6-grams
DOI: 10.6084/m9.figshare.8216441.v1
title: nonlinear-6-grams-number

description: 6-grams
DOI: 10.6084/m9.figshare.8216423
title: nonlinear-5-grams

description: 5-grams
DOI: 10.6084/m9.figshare.8216426
title: nonlinear-5-grams-number

description: 5-grams
DOI: 10.6084/m9.figshare.8216426.v1
title: nonlinear-5-grams-number

description: 5-grams
DOI: 10.6084/m9.figshare.8216432.v1
title: nonlinear-6-grams

description: 6-grams
DOI: 10.6084/m9.figshare.8216423.v1
title: nonlinear-5-grams

description: 5-grams
DOI: 10.6084/m9.figshare.8216414
title: tracking-88-grams

description: 88-grams
DOI: 10.6084/m9.figshare.8216417
title: tracking-88-grams-number

description: 88-grams
DOI: 10.6084/m9.figshare.8216417.v1
title: tracking-88-grams-number

description: 88-grams
DOI: 10.6084/m9.figshare.8216414.v1
title: tracking-88-grams

description: 88-grams
DOI: 10.6084/m9.figshare.8216360
title: tracking-83-grams-number

description: 83-grams
DOI: 10.6084/m9.figshare.8216360.v1
title: tracking-83-grams-number

description: 83-grams
DOI: 10.6084/m9.figshare.8216354
title: tracking-83-grams

description: 83-grams
DOI: 10.6084/m9.figshare.8216348
title: tracking-79-grams-number

description: 79-grams
DOI: 10.6084/m9.figshare.8216354.v1
title: tracking-83-grams

description: 83-grams
DOI: 10.6084/m9.figshare.8216348.v1
title: tracking-79-grams-number

description: 79-grams
DOI: 10.6084/m9.figshare.8216327
title: tracking-79-grams

description: 79-grams
DOI: 10.6084/m9.figshare.8216327.v1
title: tracking-79-grams

description: 79-grams
DOI: 10.6084/m9.figshare.8216291
title: Choanoeca flexa transcriptome and predicted nonredundant proteome

description: Assembled transcriptome, and predicted non-redundant proteins it encodes, for the choanoflagellate Choanoeca flexa.<br>
DOI: 10.6084/m9.figshare.8216288
title: NSE, S100B and MMP9 Expression Following Reperfusion after Carotid Artery Stenting data

description: <b>Abstract:</b> <b>Objective</b>: Previous studies have shown that the neuron-specific- enolase (NSE), S100B protein (S100B) and matrix metalloproteinase-9 (MMP9) are specific markers for studying cerebral injury. This study was to demonstrate these biomarkers for their correlation with reperfusion after carotid artery stenting (CAS). <b>Method</b>: In this study, a total of 44 patients who were diagnosed unilateral carotid artery stenosis by Digital Subtraction Angiography (DSA) and underwent CAS, were selected as the operation groups. The patients’ blood samples were collected at three different time points: T1, prior to operation; T2, next morning after operation (24 hours); T3, three days after operation (72 hours); All of patients with operation were received Computed Tomography Perfusion (CTP) at T1 and T3. The second group of 12 patients, who were excluded for carotid artery stenosis by DSA, were assigned to be the control group; Blood samples of these patients were collected at T1. The concentrations of NSE, S100B and MMP9 in serum from patients of both groups were detected by ELISA. <b>Results:</b> All of the operations were implanted in stents successfully without complications. (1) After CAS, rCBF increased while rMTT and rTTP decreased. (2) The concentrations of NSE, S100B and MMP9 in the serum decreased gradually (T1&gt;T2&gt;T3). There was no significant difference between the control group and the operation group at T1 (P&gt;0.05) on their concentrations of NSE, S100B and MMP9 in the serum. When compared among the operation groups, the concentrations of NSE, S100B and MMP9 in the serum at T1 and T3 showed significantly difference (P&lt;0.05). (3) Correlation analysis among the operation groups indicated that NSE, S100B, MMP9 and rCBF were positively correlated before operation (r = 0.69, 0.58 and 0.72, respectively, P &lt; 0.05), as well as after operation (r = 0.75, 0.65 and 0.60, respectively, P &lt; 0.05). <b>Conclusion: </b>We concluded that the concentrations of NSE, S100B and MMP9 in serum decreased with the improvement of cerebral reperfusion after CAS. NSE, S100B and MMP9 can be used as laboratory biochemical markers to evaluate the improvement of reperfusion after CAS. The results very well complement the imaging methods, such as CTP.
DOI: 10.6084/m9.figshare.8216282
title: Euro Area Social Benefit Scheme.rar

description: Data on the title, "On the Design of a Euro Area-Wide Social Benefit Scheme: Public Sector Efficiency Considerations and Policy Proposals"<br>
DOI: 10.6084/m9.figshare.8216282.v1
title: Euro Area Social Benefit Scheme.rar

description: Data on the title, "On the Design of a Euro Area-Wide Social Benefit Scheme: Public Sector Efficiency Considerations and Policy Proposals"<br>
DOI: 10.6084/m9.figshare.8216291.v1
title: Choanoeca_flexa_nonredundant_predicted_proteins.fasta

description: Predicted non-redundant proteins encoded by the transcriptome of the choanoflagellate Choanoeca flexa.<br>
DOI: 10.6084/m9.figshare.8216279
title: Data zebra mussel Cardiff Bay

description: Datasets for MS<b>Seasonal and spatial variation in growth and abundance of zebra mussel (<i>Dreissena polymorpha</i>) in a recently invaded </b><b>artificial </b><b>lake: implications for management</b><b><br></b><br>
DOI: 10.6084/m9.figshare.8216270
title: Intraspecific variation alters ecosystem and next-generation performance as much as temperature

description: Functional differences among populations can affect community structure and ecosystem functioning. However, there is considerable uncertainty about the relative importance of these effects compared to key environmental factors such as temperature. Moreover, it is unclear whether these effects are persistent enough to affect the performance of individuals from subsequent generations. Here, we quantified the effects of intraspecific variation on community and ecosystem properties and on next-generation performance, and we compared these effects to those induced by a 2°C warming. We performed an experiment simultaneously varying the genotypes and phenotypes of a freshwater fish species (the European minnow, <i>Phoxinus phoxinus</i>) and temperature. We demonstrated that the effects of intraspecific variation were as strong as those induced by a 2°C temperature increase, and that these effects were mostly temperature-independent. Differences in fish body mass and activity had the strongest effects. For instance, a 2-fold difference in body mass among populations strongly affected prey abundance and algae stock, which ultimately affected fitness traits of the next fish generation. Temperature significantly modulated some ecosystem functions, such as litter decomposition, which was also associated to effects on the next generation. Our findings demonstrate that intraspecific variation has a key role for ecological and evolutionary dynamics.
DOI: 10.6084/m9.figshare.8216276
title: Data set for Effects of Rh negativity on wellbeing, health, fecundity, sexual desire, and sexual activity

description: Raw data for the paper "<b>Effects of Rh negativity on wellbeing, health, fecundity, sexual desire, and sexual activity – a cross-sectional study performed on a cohort of 5,527 Czech and Slovak representatives of the internet population" </b>by Jaroslav Flegr<br><b>Abstract</b> Since its discovery in the 1930s, the effects of Rh phenotype on human health and wellbeing, with the exception of the effects of Rh-negativity of a mother on the risk of hemolytic anemia of Rh-positive children, has only rarely been studied. In the last few years, however, several studies have shown that Rh-negative subjects have worse health and performance in certain tests than their Rh-positive peers. Nothing is known about the effect of Rh phenotype on the quality of life of subjects as measured by a standard instrument. I hereby analyzed the data of 1768 male (24% Rh-negative) and 3759 female participants (23% Rh-negative) of an anonymous internet study using the partial Kendall test with the age and the population of the hometown of subjects controlled. The results showed that the Rh-negative women, but not men, scored worse in wellbeing measured with the WHO-BREFF. Both the Rh-negative men and women scored worse in mental health-related variables and in their reported economic situation. Additionally, the Rh-negative women scored worse in physical health-related variables. Both the Rh-negative men and women reported higher sexual activity than their Rh-positive peers. The effects of the Rh phenotype were significant after the correction for multiple tests. However, they were usually weaker and less numerous than those of smoking, consuming alcohol, and high body mass index, which were used as a sort of internal control.<br>
DOI: 10.6084/m9.figshare.8216279.v1
title: Data zebra mussel Cardiff Bay

description: Datasets for MS<b>Seasonal and spatial variation in growth and abundance of zebra mussel (<i>Dreissena polymorpha</i>) in a recently invaded </b><b>artificial </b><b>lake: implications for management</b><b><br></b><br>
DOI: 10.6084/m9.figshare.8216288.v1
title: NSE, S100B and MMP9 Expression Following Reperfusion after Carotid Artery Stenting data

description: <b>Abstract:</b> <b>Objective</b>: Previous studies have shown that the neuron-specific- enolase (NSE), S100B protein (S100B) and matrix metalloproteinase-9 (MMP9) are specific markers for studying cerebral injury. This study was to demonstrate these biomarkers for their correlation with reperfusion after carotid artery stenting (CAS). <b>Method</b>: In this study, a total of 44 patients who were diagnosed unilateral carotid artery stenosis by Digital Subtraction Angiography (DSA) and underwent CAS, were selected as the operation groups. The patients’ blood samples were collected at three different time points: T1, prior to operation; T2, next morning after operation (24 hours); T3, three days after operation (72 hours); All of patients with operation were received Computed Tomography Perfusion (CTP) at T1 and T3. The second group of 12 patients, who were excluded for carotid artery stenosis by DSA, were assigned to be the control group; Blood samples of these patients were collected at T1. The concentrations of NSE, S100B and MMP9 in serum from patients of both groups were detected by ELISA. <b>Results:</b> All of the operations were implanted in stents successfully without complications. (1) After CAS, rCBF increased while rMTT and rTTP decreased. (2) The concentrations of NSE, S100B and MMP9 in the serum decreased gradually (T1&gt;T2&gt;T3). There was no significant difference between the control group and the operation group at T1 (P&gt;0.05) on their concentrations of NSE, S100B and MMP9 in the serum. When compared among the operation groups, the concentrations of NSE, S100B and MMP9 in the serum at T1 and T3 showed significantly difference (P&lt;0.05). (3) Correlation analysis among the operation groups indicated that NSE, S100B, MMP9 and rCBF were positively correlated before operation (r = 0.69, 0.58 and 0.72, respectively, P &lt; 0.05), as well as after operation (r = 0.75, 0.65 and 0.60, respectively, P &lt; 0.05). <b>Conclusion: </b>We concluded that the concentrations of NSE, S100B and MMP9 in serum decreased with the improvement of cerebral reperfusion after CAS. NSE, S100B and MMP9 can be used as laboratory biochemical markers to evaluate the improvement of reperfusion after CAS. The results very well complement the imaging methods, such as CTP.
DOI: 10.6084/m9.figshare.8216270.v1
title: Intraspecific variation alters ecosystem and next-generation performance as much as temperature

description: Functional differences among populations can affect community structure and ecosystem functioning. However, there is considerable uncertainty about the relative importance of these effects compared to key environmental factors such as temperature. Moreover, it is unclear whether these effects are persistent enough to affect the performance of individuals from subsequent generations. Here, we quantified the effects of intraspecific variation on community and ecosystem properties and on next-generation performance, and we compared these effects to those induced by a 2°C warming. We performed an experiment simultaneously varying the genotypes and phenotypes of a freshwater fish species (the European minnow, <i>Phoxinus phoxinus</i>) and temperature. We demonstrated that the effects of intraspecific variation were as strong as those induced by a 2°C temperature increase, and that these effects were mostly temperature-independent. Differences in fish body mass and activity had the strongest effects. For instance, a 2-fold difference in body mass among populations strongly affected prey abundance and algae stock, which ultimately affected fitness traits of the next fish generation. Temperature significantly modulated some ecosystem functions, such as litter decomposition, which was also associated to effects on the next generation. Our findings demonstrate that intraspecific variation has a key role for ecological and evolutionary dynamics.
DOI: 10.6084/m9.figshare.8216246
title: Database S1 from A chordwise offset of the wing-pitch axis enhances rotational aerodynamic forces on insect wings: a numerical study

description: Database containing all the wing geometries, and kinematics and aerodynamic forces of all simulations. The file is in “.mat” format that can be read by popular scripting languages like Matlab and Python. The file is organized through structures, the first two structures are the geometry and simulations structure. Inside the geometry structure all the geometries are organized by name (ellipse, fruitfly, mosquito), inside the ellipse structure the geometry files are organized by the location of the pitch-axis (pitch_axis_1em4, pitch_axis_2em4, pitch_axis_3em4, pitch_axis_4em4, pitch_axis_5em4). In each geometry folder the data in table S3 is available. Inside the simulations structure the data is organized by geometry (ellipse, fruitfly, mosquito), then by pitch angle (pitch_angle_30, pitch_angle_45, pitch_angle_60). For the ellipse wings there is the additional structures for the different pitch-axes. Then the data is organized by stroke angle (stroke_angle_1000 for stroke=1000 rad/s), then by pitch angle (pitch_angle_3000 for pitch=3000 rad/s). Inside the final folder the data per simulation is available as described in table S4.
DOI: 10.6084/m9.figshare.8216246.v1
title: Database S1 from A chordwise offset of the wing-pitch axis enhances rotational aerodynamic forces on insect wings: a numerical study

description: Database containing all the wing geometries, and kinematics and aerodynamic forces of all simulations. The file is in “.mat” format that can be read by popular scripting languages like Matlab and Python. The file is organized through structures, the first two structures are the geometry and simulations structure. Inside the geometry structure all the geometries are organized by name (ellipse, fruitfly, mosquito), inside the ellipse structure the geometry files are organized by the location of the pitch-axis (pitch_axis_1em4, pitch_axis_2em4, pitch_axis_3em4, pitch_axis_4em4, pitch_axis_5em4). In each geometry folder the data in table S3 is available. Inside the simulations structure the data is organized by geometry (ellipse, fruitfly, mosquito), then by pitch angle (pitch_angle_30, pitch_angle_45, pitch_angle_60). For the ellipse wings there is the additional structures for the different pitch-axes. Then the data is organized by stroke angle (stroke_angle_1000 for stroke=1000 rad/s), then by pitch angle (pitch_angle_3000 for pitch=3000 rad/s). Inside the final folder the data per simulation is available as described in table S4.
DOI: 10.6084/m9.figshare.8215994
title: Trinity genome guided assembly Francisella/vibrio

description: A genome guided Trinity RNAseq assembly used for differential expression analysis in https://doi.org/10.1016/j.cbd.2019.04.004 and https://doi.org/10.1016/j.cbd.2019.100597 based on trimmed and normalized data from ENA PRJEB31369 and PRJEB31396. See manuscripts for details on assembly generation. Genome used for guiding found here: https://figshare.com/articles/Transcript_and_genome_assemblies_of_Atlantic_cod/3408247
DOI: 10.6084/m9.figshare.8215889
title: Ebola_Uncertainty.r from Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study

description: R code to run 27 different cost function combinations for each of 37 Ebola models under low, intermediate and high budget levels. The three simulated interventions are reducing community transmission, improving hospitalization and reducing funeral transmission. The three simulated cost functions are "cheap and effective" , "expensive and effective", and "cheap and partly effective".
DOI: 10.6084/m9.figshare.8215892
title: Table S3 from Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study

description: Caseload and optimal intervention under 27 different cost function combinations for each of 37 Ebola models under low, intermediate and high budget levels. The three simulated interventions are reducing community transmission (Community), improving hospitalization (Hospitalization) and reducing funeral transmission (Funeral). The three simulated cost functions are "cheap and effective" (1), "expensive and effective" (2), and "cheap and partly effective" (3). Cells filled with gray indicate the optimal intervention with lowest caseload.
DOI: 10.6084/m9.figshare.8215895
title: Table S1 from Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study

description: Summary of the mean and standard deviation (SD) of the key parameters for 37 published Ebola models, excluding models for which that parameter does not exist.
DOI: 10.6084/m9.figshare.8215895.v1
title: Table S1 from Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study

description: Summary of the mean and standard deviation (SD) of the key parameters for 37 published Ebola models, excluding models for which that parameter does not exist.
DOI: 10.6084/m9.figshare.8215892.v1
title: Table S3 from Concurrent assessment of epidemiological and operational uncertainties for optimal outbreak control: Ebola as a case study

description: Caseload and optimal intervention under 27 different cost function combinations for each of 37 Ebola models under low, intermediate and high budget levels. The three simulated interventions are reducing community transmission (Community), improving hospitalization (Hospitalization) and reducing funeral transmission (Funeral). The three simulated cost functions are "cheap and effective" (1), "expensive and effective" (2), and "cheap and partly effective" (3). Cells filled with gray indicate the optimal intervention with lowest caseload.
DOI: 10.6084/m9.figshare.8215880
title: Table S3 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: P-values of pairwise Welch test between populations for inbreeding coefficient. P-values highlighted in red are significant after Bonferroni correction for multiple testing (p-value &lt; 0.05 / 55).
DOI: 10.6084/m9.figshare.8215874
title: Table S5 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: P-values of pairwise Welch test between populations for effective population size. P-values highlighted in red are significant after Bonferroni correction for multiple testing (p-value &lt; 0.05 / 66).
DOI: 10.6084/m9.figshare.8215877
title: Table S4 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: Effective population sizes with 95% confidence interval.
DOI: 10.6084/m9.figshare.8215880.v1
title: Table S3 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: P-values of pairwise Welch test between populations for inbreeding coefficient. P-values highlighted in red are significant after Bonferroni correction for multiple testing (p-value &lt; 0.05 / 55).
DOI: 10.6084/m9.figshare.8215871
title: Table S1 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: P-values of pairwise χ<sup>2</sup> test between populations for village endogamy rate. P-values highlighted in red are significant after Bonferroni correction for multiple testing (p-value &lt; 0.05 / 55).
DOI: 10.6084/m9.figshare.8215877.v1
title: Table S4 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: Effective population sizes with 95% confidence interval.
DOI: 10.6084/m9.figshare.8215868
title: Table S2 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: Inferred relationship of parents by FEstim. For each population, the number of individuals inferred as offspring of avuncular relatives (AV), first cousins (1C), second cousins (2C), double first cousins (2x1C) and unrelated individuals (OUT) are given.
DOI: 10.6084/m9.figshare.8215874.v1
title: Table S5 from From matrimonial practices to genetic diversity in Southeast Asian populations: the signature of the matrilineal puzzle

description: P-values of pairwise Welch test between populations for effective population size. P-values highlighted in red are significant after Bonferroni correction for multiple testing (p-value &lt; 0.05 / 66).