cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8029283
title: Supplemental Table 7

description: <b>Supplemental Table 7:</b> Presence of genes involved in aerobic respiration, hydrogen- and iron-oxidation, and carbon fixation in MAGs discussed in the text, with NCBI accession numbers provided.
DOI: 10.6084/m9.figshare.8029304
title: dataset_in_hand_tracking_iros_2019.zip

description: Dataset containing robot camera images and proprioception data require to run a visual-tactile localization experiment.
DOI: 10.6084/m9.figshare.8029304.v1
title: dataset_in_hand_tracking_iros_2019.zip

description: Dataset containing robot camera images and proprioception data require to run a visual-tactile localization experiment.
DOI: 10.6084/m9.figshare.8029283.v1
title: Supplemental Table 7

description: <b>Supplemental Table 7:</b> Presence of genes involved in aerobic respiration, hydrogen- and iron-oxidation, and carbon fixation in MAGs discussed in the text, with NCBI accession numbers provided.
DOI: 10.6084/m9.figshare.8029115
title: Supplemental Table 5

description: <b>Supplemental Table 5:</b> 16S rRNA gene amplicon data as relative abundance binned at the class level.
DOI: 10.6084/m9.figshare.8029112
title: SupplementalTable4.csv

description: <b>Supplemental Table 4:</b> 16S rRNA gene amplicon data as OTU table with sequences.
DOI: 10.6084/m9.figshare.8029118
title: Supplemental Table 6

description: <b>Supplemental Table 6: </b> High- and medium-quality metagenome-assembled genomes (MAGs) (&gt;50% completeness and &lt;10% contamination) recovered from Jinata Onsen. Predicted taxonomy based on placement in reference phylogeny as presented in Figure 4 and by GTDB-Tk (90). Optimal growth temperatures predicted following methods from (78).
DOI: 10.6084/m9.figshare.8029115.v1
title: Supplemental Table 5

description: <b>Supplemental Table 5:</b> 16S rRNA gene amplicon data as relative abundance binned at the class level.
DOI: 10.6084/m9.figshare.8029118.v1
title: Supplemental Table 6

description: <b>Supplemental Table 6: </b> High- and medium-quality metagenome-assembled genomes (MAGs) (&gt;50% completeness and &lt;10% contamination) recovered from Jinata Onsen. Predicted taxonomy based on placement in reference phylogeny as presented in Figure 4 and by GTDB-Tk (90). Optimal growth temperatures predicted following methods from (78).
DOI: 10.6084/m9.figshare.8029112.v1
title: SupplementalTable4.csv

description: <b>Supplemental Table 4:</b> 16S rRNA gene amplicon data as OTU table with sequences.
DOI: 10.6084/m9.figshare.8028953
title: Systematic error and uncertain carbon dioxide emissions from U.S. power plants

description: Carbon dioxide (CO<sub>2</sub>) emissions from U.S. power plants are independently reported by the U.S. Energy Information Administration (EIA) and the Clean Air Markets Division (CAMD) within the U.S. Environmental Protection Agency (EPA). Differences between the CAMD and EIA emission tallies show that the amount of CO<sub>2</sub> produced by an individual power plant is less certain than might be imagined or desired. These differences are attributed to systematic error and random measurement error. Random error cannot be retroactively corrected, whereas systematic error can be corrected where relevant data are available. Accordingly, this study identified and, where possible, corrected systematic error affecting the CAMD and EIA CO<sub>2</sub> emission tallies for 1065 power plants that emitted more than 25,000 tons of CO<sub>2</sub> during 2013. The EIA tallies were corrected by accounting for emission factor error, acid-gas sorbent consumption, and combustion of biogenic fuel. The CAMD tallies were likewise corrected by accounting for unreported unit emissions. It was not possible to objectively correct systematic error affecting about 11% of the power plants, and subjective corrections were not attempted. At these plants, the CAMD and EIA emission tallies sometimes differed by more than 20% due to missing unit error, plant identification error, temporal measurement error, or inferred reporting error. Comparisons of the CAMD and EIA emission tallies before and after correction for systematic error show the effectiveness of these corrections. The comparisons also show the persistence of random measurement error. <i>Implications</i>: Understanding the uncertainty of CO2 emission tallies for USA power plants might inform emission inventories, atmospheric flow models or inversions, and emission reduction policies. Knowing the cause and size of measurement errors that contribute to this uncertainty might also help to identify ways to improve the measurement methods and reporting protocols that these CO2 emission tallies are based on.
DOI: 10.6084/m9.figshare.8028953.v1
title: Systematic error and uncertain carbon dioxide emissions from U.S. power plants

description: Carbon dioxide (CO<sub>2</sub>) emissions from U.S. power plants are independently reported by the U.S. Energy Information Administration (EIA) and the Clean Air Markets Division (CAMD) within the U.S. Environmental Protection Agency (EPA). Differences between the CAMD and EIA emission tallies show that the amount of CO<sub>2</sub> produced by an individual power plant is less certain than might be imagined or desired. These differences are attributed to systematic error and random measurement error. Random error cannot be retroactively corrected, whereas systematic error can be corrected where relevant data are available. Accordingly, this study identified and, where possible, corrected systematic error affecting the CAMD and EIA CO<sub>2</sub> emission tallies for 1065 power plants that emitted more than 25,000 tons of CO<sub>2</sub> during 2013. The EIA tallies were corrected by accounting for emission factor error, acid-gas sorbent consumption, and combustion of biogenic fuel. The CAMD tallies were likewise corrected by accounting for unreported unit emissions. It was not possible to objectively correct systematic error affecting about 11% of the power plants, and subjective corrections were not attempted. At these plants, the CAMD and EIA emission tallies sometimes differed by more than 20% due to missing unit error, plant identification error, temporal measurement error, or inferred reporting error. Comparisons of the CAMD and EIA emission tallies before and after correction for systematic error show the effectiveness of these corrections. The comparisons also show the persistence of random measurement error. <i>Implications</i>: Understanding the uncertainty of CO2 emission tallies for USA power plants might inform emission inventories, atmospheric flow models or inversions, and emission reduction policies. Knowing the cause and size of measurement errors that contribute to this uncertainty might also help to identify ways to improve the measurement methods and reporting protocols that these CO2 emission tallies are based on.
DOI: 10.6084/m9.figshare.8028875
title: Rapid growth and defence evolution following multiple introductions

description: Data required to run scripts on https://github.com/lotteanna/defence_adaptation
DOI: 10.6084/m9.figshare.8028875.v1
title: Rapid growth and defence evolution following multiple introductions

description: Data required to run scripts on https://github.com/lotteanna/defence_adaptation
DOI: 10.6084/m9.figshare.8028863
title: Day in the Life of the Grand River

description: Post-assembly FASTA files.
DOI: 10.6084/m9.figshare.8028866.v1
title: Prediction and Inference with Missing Data in Patient Alert Systems

description: We describe the Bedside Patient Rescue (BPR) project, the goal of which is risk prediction of adverse events for non-ICU patients using ∼100 variables (vitals, lab results, assessments,…). There are several missing predictor values for most patients, which in the health sciences is the norm, rather than the exception. A Bayesian approach is presented that addresses many of the shortcomings to standard approaches to missing predictors: (i) treatment of the uncertainty due to imputation is straight-forward in the Bayesian paradigm, (ii) the predictor distribution is flexibly modeled as an infinite normal mixture with latent variables to explicitly account for discrete predictors (i.e., as in multivariate probit regression models), and (iii) certain missing not at random situations can be handled effectively by allowing the indicator of missingness into the predictor distribution only to inform the distribution of the missing variables. The proposed approach also has the benefit of providing a distribution for the prediction, including the uncertainty inherent in the imputation. Therefore, we can ask questions such as: is it possible this individual is at high risk but we are missing too much information to know for sure? How much would we reduce the uncertainty in our risk prediction by obtaining a particular missing value? This approach is applied to the BPR problem resulting in excellent predictive capability to identify deteriorating patients.
DOI: 10.6084/m9.figshare.8026925
title: Crash risk of ESC-fitted passenger cars

description: <b>Objective:</b> We examined both fatal and injury at-fault crashes of a population of passenger cars fitted with electronic stability control (ESC). Crash rates were calculated in relation to both registration years and mileage. Crash rates were also calculated for a non-ESC car population and crash rate ratios were calculated to compare the crash risk between ESC-fitted and non-ESC-fitted passenger cars. <b>Methods:</b> Passenger car models with and without ESC were identified (ESC-equipped cars: 3,352,813 registration years; non-ESC-equipped: 5,839,946 registration years) and their vehicle information for the period 2009–2013, including mileage (ESC-equipped vehicles: 89.3 billion kilometers; non-ESC-equipped: 72.4 billion kilometers), was drawn from the national Vehicular and Driver Data Register. The registry of Finnish road accident investigation teams was accessed and all fatal at-fault crashes among the cars in the study populations (ESC 97; non-ESC 377) for the period 2009–2013 were analyzed. The motor insurance database includes at-fault crashes leading to injuries and was utilized for analyses (ESC: <i>N</i> = 8,827, non-ESC: <i>N</i> = 21,437). Crash rates and crash rate ratios were calculated to evaluate crash risk of both ESC-equipped and non-ESC-equipped passenger cars. Poisson regression was used to model crash involvement rate ratios both per registration year and per mileage for vehicles with ESC and without ESC, controlling for age and gender of the vehicle owner and vehicle mass. <b>Results:</b> Passenger cars fitted with ESC showed lower crash rates than non-ESC-equipped cars in all crash types studied. In general, the difference in crash rates between ESC-equipped and non-ESC-equipped vehicles was greater when the crashes were compared to the mileage rather than registration years. The mileage-proportional crash rate of ESC-equipped cars was 64% (95% confidence interval, 61%; 67%) lower in run-off-road crashes resulting in injury and as much as 82% (65%; 91%) lower in fatal run-off-road crashes when suicides and disease attacks were not taken into account. <b>Conclusions:</b> Our results show that modern passenger cars provide a significant crash risk reduction, which depends on both ESC and passive safety features introduced. Results also show that exposure evaluation in terms of registration years (or vehicle population) instead of true mileage can provide an overly pessimistic view of the crash risk.
DOI: 10.6084/m9.figshare.8026922
title: Galician inflected infinitives: a dataset containing grammaticality judgements and sociolinguistic factors

description: The data was collected between 2016 and 2018 with the help of an online audio questionnaire using qualtrics software. For further details concerning the purpose of the data collection and the analysis of the results, see the following two publications:<br><br>Sheehan, Michelle, M. Carmen Parfait Couto and J. Blokzijl<br>(to appear). Inflected infinitives in Galician. To appear in I. Vogel, T. Miller & K. Kostyzsyn (eds.), Selected papers from LSRL 47.<br><br>Sheehan, Michelle, M. Carmen Parfait Couto and Martin Schäfer (2019). Crowdsourcing and minority languages: the case of Galician inflected infinitives. Frontiers in Psychology - Language Science.<br><br>When using the data, please be sure to cite the data itself as well as the above mentioned publications where appropriate.<br><br>For the structure of the data, please see the README file. For the data itself, see the .csv file.<br>
DOI: 10.6084/m9.figshare.8026853
title: The second ACTRIS inter-comparison (2016) for Aerosol Chemical Speciation Monitors (ACSM): Calibration protocols and instrument performance evaluations

description: This work describes results obtained from the 2016 Aerosol Chemical Speciation Monitor (ACSM) intercomparison exercise performed at the Aerosol Chemical Monitor Calibration Center (ACMCC, France). Fifteen quadrupole ACSMs (Q_ACSM) from the European Research Infrastructure for the observation of Aerosols, Clouds and Trace gases (ACTRIS) network were calibrated using a new procedure that acquires calibration data under the same operating conditions as those used during sampling and hence gets information representative of instrument performance. The new calibration procedure notably resulted in a decrease in the spread of the measured sulfate mass concentrations, improving the reproducibility of inorganic species measurements between ACSMs as well as the consistency with co-located independent instruments. Tested calibration procedures also allowed for the investigation of artifacts in individual instruments, such as the overestimation of <i>m</i>/<i>z</i> 44 from organic aerosol. This effect was quantified by the <i>m</i>/<i>z</i> (mass-to-charge) 44 to nitrate ratio measured during ammonium nitrate calibrations, with values ranging from 0.03 to 0.26, showing that it can be significant for some instruments. The fragmentation table correction previously proposed to account for this artifact was applied to the measurements acquired during this study. For some instruments (those with high artifacts), this fragmentation table adjustment led to an “overcorrection” of the <i>f44</i> (<i>m</i>/<i>z</i> 44/Org) signal. This correction based on measurements made with pure NH<sub>4</sub>NO<sub>3</sub>, assumes that the magnitude of the artifact is independent of chemical composition. Using data acquired at different NH<sub>4</sub>NO<sub>3</sub> mixing ratios (from solutions of NH<sub>4</sub>NO<sub>3</sub> and (NH<sub>4</sub>)<sub>2</sub>SO<sub>4</sub>) we observe that the magnitude of the artifact varies as a function of composition. Here we applied an updated correction, dependent on the ambient NO<sub>3</sub> mass fraction, which resulted in an improved agreement in organic signal among instruments. This work illustrates the benefits of integrating new calibration procedures and artifact corrections, but also highlights the benefits of these intercomparison exercises to continue to improve our knowledge of how these instruments operate, and assist us in interpreting atmospheric chemistry.
DOI: 10.6084/m9.figshare.8026922.v1
title: Galician inflected infinitives: a dataset containing grammaticality judgements and sociolinguistic factors

description: The data was collected between 2016 and 2018 with the help of an online audio questionnaire using qualtrics software. For further details concerning the purpose of the data collection and the analysis of the results, see the following two publications:<br><br>Sheehan, Michelle, M. Carmen Parfait Couto and J. Blokzijl<br>(to appear). Inflected infinitives in Galician. To appear in I. Vogel, T. Miller & K. Kostyzsyn (eds.), Selected papers from LSRL 47.<br><br>Sheehan, Michelle, M. Carmen Parfait Couto and Martin Schäfer (2019). Crowdsourcing and minority languages: the case of Galician inflected infinitives. Frontiers in Psychology - Language Science.<br><br>When using the data, please be sure to cite the data itself as well as the above mentioned publications where appropriate.<br><br>For the structure of the data, please see the README file. For the data itself, see the .csv file.<br>
DOI: 10.6084/m9.figshare.8026925.v1
title: Crash risk of ESC-fitted passenger cars

description: <b>Objective:</b> We examined both fatal and injury at-fault crashes of a population of passenger cars fitted with electronic stability control (ESC). Crash rates were calculated in relation to both registration years and mileage. Crash rates were also calculated for a non-ESC car population and crash rate ratios were calculated to compare the crash risk between ESC-fitted and non-ESC-fitted passenger cars. <b>Methods:</b> Passenger car models with and without ESC were identified (ESC-equipped cars: 3,352,813 registration years; non-ESC-equipped: 5,839,946 registration years) and their vehicle information for the period 2009–2013, including mileage (ESC-equipped vehicles: 89.3 billion kilometers; non-ESC-equipped: 72.4 billion kilometers), was drawn from the national Vehicular and Driver Data Register. The registry of Finnish road accident investigation teams was accessed and all fatal at-fault crashes among the cars in the study populations (ESC 97; non-ESC 377) for the period 2009–2013 were analyzed. The motor insurance database includes at-fault crashes leading to injuries and was utilized for analyses (ESC: <i>N</i> = 8,827, non-ESC: <i>N</i> = 21,437). Crash rates and crash rate ratios were calculated to evaluate crash risk of both ESC-equipped and non-ESC-equipped passenger cars. Poisson regression was used to model crash involvement rate ratios both per registration year and per mileage for vehicles with ESC and without ESC, controlling for age and gender of the vehicle owner and vehicle mass. <b>Results:</b> Passenger cars fitted with ESC showed lower crash rates than non-ESC-equipped cars in all crash types studied. In general, the difference in crash rates between ESC-equipped and non-ESC-equipped vehicles was greater when the crashes were compared to the mileage rather than registration years. The mileage-proportional crash rate of ESC-equipped cars was 64% (95% confidence interval, 61%; 67%) lower in run-off-road crashes resulting in injury and as much as 82% (65%; 91%) lower in fatal run-off-road crashes when suicides and disease attacks were not taken into account. <b>Conclusions:</b> Our results show that modern passenger cars provide a significant crash risk reduction, which depends on both ESC and passive safety features introduced. Results also show that exposure evaluation in terms of registration years (or vehicle population) instead of true mileage can provide an overly pessimistic view of the crash risk.
DOI: 10.6084/m9.figshare.8026826
title: Hazard perception of stroke drivers in a video-based Japanese hazard perception task

description: <b>Objective:</b> Hazard perception (HP) is the ability to identify a hazardous situation while driving. Though HP has been well studied among neurologically intact populations, little is known about the HP of neurologically impaired populations (in this study, stroke patients). The purpose of this study is, first, to investigate the HP of stroke patients and, second, to verify the effect of lesion side (right or left hemisphere) on HP, from the viewpoint of hazard types. <b>Methods:</b> Sixty-seven neurologically intact age-matched older drivers and 63 stroke patients with valid driver’s licenses conducted a video-based Japanese HP task. Participants were asked to indicate the hazardous events in the driving scenario. These events were classified into 3 types: (1) behavioral prediction hazards (BP), which are those where the cause is visible before it becomes a hazard; (2) environmental prediction hazards (EP), which are those where the ultimate hazard may be hidden from view; and (3) dividing and focusing attention hazards (DF), which are those where there is more than one potential hazard to monitor on approach．Participants also took part in the Trail Making Test (TMT) to evaluate visual information processing speed. <b>Results:</b> The results showed that the number of responses was significantly fewer for stroke patients than for age-matched drivers for all hazard types (<i>P</i> &lt; .001), and this difference was not affected by lesion side (<i>P</i> &gt; .05). It was also found that stroke patients showed a slower response time than age-matched drivers only for BP (<i>P</i> &lt; .001). The lesion side did not affect response latency (<i>P</i> &gt; .05). Results of the TMT revealed that age-matched drivers completed the task significantly faster than stroke patients (<i>P</i> &lt; .001) and that neither TMT-A nor TMT-B differentiated between patients with left hemisphere damage and patients with right hemisphere damage (<i>P</i> &gt; .05). <b>Conclusions:</b> Firstly, HP in stroke patients is low compared to age-matched drivers. Secondly, even if stroke patients notice hazards, their response may be delayed in a BP situation, due to a slower visual information processing speed. Thirdly, the lesion side does not appear to affect HP.
DOI: 10.6084/m9.figshare.8026820
title: Theoretical and experimental analysis of the core sampling method: Reducing diffusional losses in aerosol sampling line

description: Core sampling method (extracting a portion of a flow from the core of the flow) will reduce diffusional losses of highly diffusive species (e.g., aerosol nanoparticles, ions, and gases) when transporting them through a sampling tube. Revealing parameters governing the sampling efficiency of a core sampling system, <i>η</i><sub>sam</sub>, helps to design the apparatus and to optimize its performance. In this study, we report an analytical solution for quantifying the <i>η</i><sub>sam</sub> by solving the convection diffusion equation of laminar flow field. The analytical results were experimentally evaluated using 1–5 nm tungsten oxide nanoparticles. <i>η</i><sub>sam</sub> is governed by a dimensionless loss parameter and the transport-to-sample flow ratio. Theoretically predicted values for <i>η</i><sub>sam</sub> agree with experimental results, e.g., the relative deviation is within 5% when the value for the loss parameter is less than 0.1. The core sampling method is recommended to work at the loss parameter less than 0.1 such that <i>η</i><sub>sam</sub> is equal or close to the maximum value of unity and is also insensitive to variations in sampling conditions. In this study, how to apply the findings in designing and optimizing a core sampling system was discussed. A core sampling apparatus was then designed and experimentally evaluated. Its sampling efficiency was shown to be significantly higher than those of a tee, a cross fitting, and a Y fitting when the same sampling conditions were used. Copyright © 2019 American Association for Aerosol Research