cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3753558.v3
title: genus_otutable_CASyr1_logNo_InfectionStatus_SRAids.tab

description: Operational Taxonomic Unit (OTU) table for analyses from Teo et al (DOI:http://dx.doi.org/10.1016/j.chom.2015.03.008). Raw Illumina reads and metadata are available in NCBI BioProject PRJNA275918.<br>
DOI: 10.6084/m9.figshare.3753558.v2
title: genus_otutable_CASyr1_logNo_InfectionStatus.tab

description: Operational Taxonomic Unit (OTU) table for analyses from Teo et al (DOI:http://dx.doi.org/10.1016/j.chom.2015.03.008). Raw Illumina reads and metadata are available in NCBI BioProject PRJNA275918.<br>
DOI: 10.6084/m9.figshare.3753531
title: Reverse Sequences for Adult and Juvenile Individuals

description: Illumina Raw Sequences of <i>Macrobrachium koombooloomba</i><br>
DOI: 10.6084/m9.figshare.3753531.v1
title: Reverse Sequences for Adult and Juvenile Individuals

description: Illumina Raw Sequences of <i>Macrobrachium koombooloomba</i><br>
DOI: 10.6084/m9.figshare.3753528
title: Forward Illumina Sequences or Post Larvae

description: Illumina Raw Sequences of <i>Macrobrachium koombooloomba</i><br>
DOI: 10.6084/m9.figshare.3753528.v1
title: Forward Illumina Sequences or Post Larvae

description: Illumina Raw Sequences of <i>Macrobrachium koombooloomba</i><br>
DOI: 10.6084/m9.figshare.3753411
title: Wildfire ignition causes and houses destroyed data

description: Raw data for the manuscript in press with PLoS ONE and can be cited as:Collins, K.M., Penman, T.D., Price, O.F., in press. Some wildfire ignition causes pose more risk of destroying houses than others. PLoS ONE Accepted August 2016
DOI: 10.6084/m9.figshare.3753411.v2
title: Wildfire ignition causes and houses destroyed data

description: Raw data for the manuscript in press with PLoS ONE and can be cited as:Collins, K.M., Penman, T.D., Price, O.F., in press. Some wildfire ignition causes pose more risk of destroying houses than others. PLoS ONE Accepted August 2016
DOI: 10.6084/m9.figshare.3753411.v1
title: Wildfire ignition causes and houses destroyed data

description: Raw data for the manuscript in press with PLoS ONE and can be cited as:Collins, K.M., Penman, T.D., Price, O.F., in press. Some wildfire ignition causes pose more risk of destroying houses than others. PLoS ONE Accepted August 2016
DOI: 10.6084/m9.figshare.3753408
title: Simple Map/Reduce Performance for Apache Spark/Scala on Cooley

description: Performance benchmarking of Apache Spark (Scala) on a high-performance computing cluster.
DOI: 10.6084/m9.figshare.3753402
title: Illumina Forward sequences for Adult and Juvenile Individuals

description: Illumina raw sequences of <i>Macrobrachium koombooloomba</i>
DOI: 10.6084/m9.figshare.3753402.v1
title: Illumina Forward sequences for Adult and Juvenile Individuals

description: Illumina raw sequences of <i>Macrobrachium koombooloomba</i>
DOI: 10.6084/m9.figshare.3753399
title: Sensitiveness analysis: Sample sizes for t-tests for independent groups

description: This dataset contains the sample sizes required for obtaining a statistical significant result for a desired minimum effect size (MES) when carrying out Fisher’s tests of significance (e.g., 1954) to assess mean differences between two independent groups.
DOI: 10.6084/m9.figshare.3753396
title: Sensitiveness analysis: Sample sizes for t-tests for paired samples

description: This dataset contains the sample sizes required for obtaining a statistical significant result for a desired minimum effect size (MES) when carrying out Fisher’s tests of significance (e.g., 1954) to assess mean differences between paired observations (dependent means) using t-tests.
DOI: 10.6084/m9.figshare.3753393
title: Sensitiveness analysis: Sample sizes for t-tests for the one sample case

description: This dataset contains the sample sizes required for obtaining a statistical significant result for a desired minimum effect size (MES) when carrying out Fisher’s tests of significance (e.g., 1954) to assess mean differences between a sample and a constant using t-tests.
DOI: 10.6084/m9.figshare.3753393.v1
title: Sensitiveness analysis: Sample sizes for t-tests for the one sample case

description: This dataset contains the sample sizes required for obtaining a statistical significant result for a desired minimum effect size (MES) when carrying out Fisher’s tests of significance (e.g., 1954) to assess mean differences between a sample and a constant using t-tests.
DOI: 10.6084/m9.figshare.3753390
title: Reputation-based Investment Helps to Optimize Group Behaviors in Spatial Lattice Networks

description: There are source code and data files used in the manuscirpt, which is titiled as "Reputation-based Investment Helps to Optimize Group Behaviors in Spatial Lattice Networks".<br>
DOI: 10.6084/m9.figshare.3753390.v1
title: Reputation-based Investment Helps to Optimize Group Behaviors in Spatial Lattice Networks

description: There are source code and data files used in the manuscirpt, which is titiled as "Reputation-based Investment Helps to Optimize Group Behaviors in Spatial Lattice Networks".<br>
DOI: 10.6084/m9.figshare.3753384
title: 附表1.xlsx

description: Supplementary Table 1 Plant materials used in this study
DOI: 10.6084/m9.figshare.3753384.v1
title: 附表1.xlsx

description: Supplementary Table 1 Plant materials used in this study
DOI: 10.6084/m9.figshare.3753321
title: AOD_monthly_2000-MAR_2016-FEB_from_MISR_L3_JOINT.nc

description: Monthly mean and standard deviation of optical depths for three different types of atmospheric aerosols. The original data is from Multiangle Imaging SpectroRadiometer Level 3 Joint aerosol product.<br>
DOI: 10.6084/m9.figshare.3753321.v1
title: AOD_monthly_2000-MAR_2016-FEB_from_MISR_L3_JOINT.nc

description: Monthly mean and standard deviation of optical depths for three different types of atmospheric aerosols. The original data is from Multiangle Imaging SpectroRadiometer Level 3 Joint aerosol product.<br>
DOI: 10.6084/m9.figshare.3753306
title: Supplementary and Corrected Figures

description: Supplemental figures for "Commercial Crop Yields Reveal Strengths and Weaknesses for Organic Agriculture in the United States" http://dx.doi.org/10.1371/journal.pone.0161673
DOI: 10.6084/m9.figshare.3753306.v1
title: Supplementary Figures

description: Supplemental figures for "Commercial Crop Yields Reveal Strengths and Weaknesses for Organic Agriculture in the United States" http://dx.doi.org/10.1371/journal.pone.0161673
DOI: 10.6084/m9.figshare.3753303
title: Data for PONE-D-16-07110 (LE vs LPI).xlsx

description: Data set for PLoS One article "Comparing Laser Peripheral Iridotomy ot Cataract Extraction in Narrow Angle Eyes Using Anterior Segment Optical Coherence Tomography"
DOI: 10.6084/m9.figshare.3753303.v1
title: Data for PONE-D-16-07110 (LE vs LPI).xlsx

description: Data set for PLoS One article "Comparing Laser Peripheral Iridotomy ot Cataract Extraction in Narrow Angle Eyes Using Anterior Segment Optical Coherence Tomography"
DOI: 10.6084/m9.figshare.3753288
title: Data from: Spatio-temporal Bayesian model selection for disease mapping

description: Spatio-temporal analysis of small area health data often involves choosing a fixed set of predictors prior to the final model fit. In this paper, we propose a spatio-temporal approach of Bayesian model selection to implement model selection for certain areas of the study region as well as certain years in the study time line. Here, we examine the usefulness of this approach by way of a large-scale simulation study accompanied by a case study. Our results suggest that a special case of the model selection methods, a mixture model allowing a weight parameter to indicate if the appropriate linear predictor is spatial, spatio-temporal, or a mixture of the two, offers the best option to fitting these spatio-temporal models. In addition, the case study illustrates the effectiveness of this mixture model within the model selection setting by easily accommodating lifestyle, socio-economic, and physical environmental variables to select a predominantly spatio-temporal linear predictor.
DOI: 10.6084/m9.figshare.3753288.v1
title: Data from: Spatio-temporal Bayesian model selection for disease mapping

description: Spatio-temporal analysis of small area health data often involves choosing a fixed set of predictors prior to the final model fit. In this paper, we propose a spatio-temporal approach of Bayesian model selection to implement model selection for certain areas of the study region as well as certain years in the study time line. Here, we examine the usefulness of this approach by way of a large-scale simulation study accompanied by a case study. Our results suggest that a special case of the model selection methods, a mixture model allowing a weight parameter to indicate if the appropriate linear predictor is spatial, spatio-temporal, or a mixture of the two, offers the best option to fitting these spatio-temporal models. In addition, the case study illustrates the effectiveness of this mixture model within the model selection setting by easily accommodating lifestyle, socio-economic, and physical environmental variables to select a predominantly spatio-temporal linear predictor.
DOI: 10.6084/m9.figshare.3753273
title: Data from: A Spatial Dependent Model for Climate Emulation

description: For studying impacts and policy issues related to climate change, it is often critical to be able to forecast the future climate for a range of forcing scenarios. Complex climate models can be used to study climate change, but they are expensive to run, and thus, can only be used to investigate a limited number of scenarios. For some climate summaries, it is possible to develop a statistical emulator of the climate model that accurately and quickly reproduces the climate model output. Training such an emulator based on a small number of model runs can be challenging, especially when emulating at a fine spatial resolution. This work considers developing such an emulator for a specific climate model, CCSM3, as a function of the past trajectory of atmospheric CO<sub>2</sub> concentrations. We propose a new approach to fitting an emulator for annual temperature at the pixel level of the climate model by combining a spatially varying coefficient model and an infinite distributed lag model. The approach can capture the annual mean temperature at grid-cell level of climate model output in transient climates based on model runs from just a single CO<sub>2</sub> trajectory. We apply the approach to annual temperature emulation over North America and Africa, and show that the resulting emulator predicts annual temperature quite well and that the emulator can be fit in a computationally efficient manner. We show that the emulator outperforms procedures that do not take account of the spatial structure.
DOI: 10.6084/m9.figshare.3753273.v1
title: Data from: A Spatial Dependent Model for Climate Emulation

description: For studying impacts and policy issues related to climate change, it is often critical to be able to forecast the future climate for a range of forcing scenarios. Complex climate models can be used to study climate change, but they are expensive to run, and thus, can only be used to investigate a limited number of scenarios. For some climate summaries, it is possible to develop a statistical emulator of the climate model that accurately and quickly reproduces the climate model output. Training such an emulator based on a small number of model runs can be challenging, especially when emulating at a fine spatial resolution. This work considers developing such an emulator for a specific climate model, CCSM3, as a function of the past trajectory of atmospheric CO<sub>2</sub> concentrations. We propose a new approach to fitting an emulator for annual temperature at the pixel level of the climate model by combining a spatially varying coefficient model and an infinite distributed lag model. The approach can capture the annual mean temperature at grid-cell level of climate model output in transient climates based on model runs from just a single CO<sub>2</sub> trajectory. We apply the approach to annual temperature emulation over North America and Africa, and show that the resulting emulator predicts annual temperature quite well and that the emulator can be fit in a computationally efficient manner. We show that the emulator outperforms procedures that do not take account of the spatial structure.
DOI: 10.6084/m9.figshare.3753198
title: Data from: Objective Bayesian model selection for Cox regression

description: There is now a large literature on objective Bayesian model selection in the linear model based on the $g$-prior. The methodology has been recently extended to generalized linear models using test-based Bayes factors (TBFs). In this paper we show that TBFs can also be applied to the Cox proportional hazards model. If the goal is to select a single model, then both the maximum {\em a posteriori} and the median probability model can be calculated. For clinical prediction of survival, we shrink the model-specific log hazard ratio estimates with subsequent calculation of the Breslow estimate of the cumulative baseline hazard function. A Bayesian model average can also be employed. We illustrate the proposed methodology with the analysis of survival data on primary biliary cirrhosis (PBC) patients and the development of a clinical prediction model for future cardiovascular events based on data from the SMART cohort study. Cross-validation is applied to compare the predictive performance with alternative model selection approaches based on Harrell's c-Index, the calibration slope and the integrated Brier score. Finally a novel application of Bayesian variable selection to optimal conditional prediction via landmarking is described. <br>
DOI: 10.6084/m9.figshare.3753198.v1
title: Data from: Objective Bayesian model selection for Cox regression

description: There is now a large literature on objective Bayesian model selection in the linear model based on the $g$-prior. The methodology has been recently extended to generalized linear models using test-based Bayes factors (TBFs). In this paper we show that TBFs can also be applied to the Cox proportional hazards model. If the goal is to select a single model, then both the maximum {\em a posteriori} and the median probability model can be calculated. For clinical prediction of survival, we shrink the model-specific log hazard ratio estimates with subsequent calculation of the Breslow estimate of the cumulative baseline hazard function. A Bayesian model average can also be employed. We illustrate the proposed methodology with the analysis of survival data on primary biliary cirrhosis (PBC) patients and the development of a clinical prediction model for future cardiovascular events based on data from the SMART cohort study. Cross-validation is applied to compare the predictive performance with alternative model selection approaches based on Harrell's c-Index, the calibration slope and the integrated Brier score. Finally a novel application of Bayesian variable selection to optimal conditional prediction via landmarking is described. <br>
DOI: 10.34740/kaggle/dsv/1461301
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.3753024
title: Assessing the Performance of the SRR Loop Scheduler with Irregular Workloads (Results)

description: This dataset contains experimental results presented in the paper.<br><br>performance-analysis.csv contains the results for performance analysis experiments.<br><br>weak-scaling.csv contains the results for weak scaling experiments.<br><br>strong-scaling.csv contains the results for strong scaling experiments.<br>
DOI: 10.6084/m9.figshare.3753024.v1
title: Assessing the Performance of the SRR Loop Scheduler with Irregular Workloads

description: This dataset contains experimental results presented in the paper.<br><br>performance-analysis.csv contains the results for performance analysis experiments.<br><br>weak-scaling.csv contains the results for weak scaling experiments.<br><br>strong-scaling.csv contains the results for strong scaling experiments.<br>
DOI: 10.6084/m9.figshare.3753024.v2
title: Assessing the Performance of the SRR Loop Scheduler with Irregular Workloads (Dataset)

description: This dataset contains experimental results presented in the paper.<br><br>performance-analysis.csv contains the results for performance analysis experiments.<br><br>weak-scaling.csv contains the results for weak scaling experiments.<br><br>strong-scaling.csv contains the results for strong scaling experiments.<br>
DOI: 10.17632/wpwjtxxbz5.1
title: Molecular dynamics simulations of healing of a hole in a carbon nanotube under electron irradiation

description: Molecular dynamics simulations are performed to study healing of a hole in a carbon nanotube under electron irradiation in HRTEM at room temperature. The calculations are carried out using the CompuTEM algorithm as implemented in the MD-kMC code. Hole healing occurs in all the simulation runs. An amorphous patch is formed in the absence of external carbon adatoms only via saturation of dangling bonds. The patch consists of non-hexagonal rings, mostly of 5-, 6- and 7-membered rings, and its formation is accompanied by CNT buckling and narrowing. The amorphous patch growth is observed under further irradiation. Two-coordinated atoms play a leading role in this process.
DOI: 10.6084/m9.figshare.3750801
title: Getting Started with iNaturalist - pdf

description: Guide on getting started with iNaturalist
DOI: 10.6084/m9.figshare.3750801.v2
title: Getting Started with iNaturalist - pdf

description: Guide on getting started with iNaturalist
DOI: 10.6084/m9.figshare.3750801.v1
title: 02_Getting Started - pdf

description: Guide on getting started with iNaturalist
DOI: 10.6084/m9.figshare.3750798
title: The Adult Parental Acceptance–Rejection Questionnaire: A Cross-Cultural Comparison of Italian and American Short Forms

description: <b><i>Objective</i></b>. The aims of this article were to test the measurement invariance of the Italian and American versions of the Adult Parental Acceptance–Rejection Questionnaire and to compare adults’ remembrances of parental acceptance–rejection across the two nations. <b><i>Design</i></b>. The Adult Parental Acceptance–Rejection Questionnaire was administered to 564 Italian adults (<i>M</i> = 23.04 years) and 509 U.S. American adults (<i>M</i> = 22.09 years), matched by gender and age. The measurement invariance of the Parental Acceptance–Rejection Questionnaire was first established by means of multi-group confirmatory factor analyses. <b><i>Results</i></b>. The Parental Acceptance–Rejection Questionnaire is fully invariant across the two cultures, and adults organize their remembrances of mothers’ and fathers’ parenting around the same four classes of behavior in both nations. Italian and American adults tend to remember their parents as having been quite loving, with Italian parents being remembered as slightly less warm and more hostile than American parents. <b><i>Conclusions</i></b>. The full invariance of the Parental Acceptance–Rejection Questionnaire across the two populations represents additional strong evidence for the universality of interpersonal acceptance–rejection theory. Measurement invariance also confirmed that the Adult Parental Acceptance–Rejection Questionnaire (short form) can be used to measure adult remembrances of parental acceptance–rejection across these two populations.
DOI: 10.6084/m9.figshare.3750798.v1
title: The Adult Parental Acceptance–Rejection Questionnaire: A Cross-Cultural Comparison of Italian and American Short Forms

description: <b><i>Objective</i></b>. The aims of this article were to test the measurement invariance of the Italian and American versions of the Adult Parental Acceptance–Rejection Questionnaire and to compare adults’ remembrances of parental acceptance–rejection across the two nations. <b><i>Design</i></b>. The Adult Parental Acceptance–Rejection Questionnaire was administered to 564 Italian adults (<i>M</i> = 23.04 years) and 509 U.S. American adults (<i>M</i> = 22.09 years), matched by gender and age. The measurement invariance of the Parental Acceptance–Rejection Questionnaire was first established by means of multi-group confirmatory factor analyses. <b><i>Results</i></b>. The Parental Acceptance–Rejection Questionnaire is fully invariant across the two cultures, and adults organize their remembrances of mothers’ and fathers’ parenting around the same four classes of behavior in both nations. Italian and American adults tend to remember their parents as having been quite loving, with Italian parents being remembered as slightly less warm and more hostile than American parents. <b><i>Conclusions</i></b>. The full invariance of the Parental Acceptance–Rejection Questionnaire across the two populations represents additional strong evidence for the universality of interpersonal acceptance–rejection theory. Measurement invariance also confirmed that the Adult Parental Acceptance–Rejection Questionnaire (short form) can be used to measure adult remembrances of parental acceptance–rejection across these two populations.
DOI: 10.6084/m9.figshare.3750774
title: The Ebola Crisis and the Corresponding Public Behavior: A System Dynamics Approach

description: The data we used to compare our model's output with it.All of them are from publicly available sources.Also "Output Result" excel sheet is the simulation output.<br><br>
DOI: 10.6084/m9.figshare.3750774.v2
title: The Ebola Crisis and the Corresponding Public Behavior: A System Dynamics Approach

description: The data we used to compare our model's output with it.All of them are from publicly available sources.Also "Output Result" excel sheet is the simulation output.<br><br>
DOI: 10.6084/m9.figshare.3750774.v1
title: Comparison-WHO-Tweets

description: First figure of manuscriptand the data we used to compare our model's output with it<br><br>
DOI: 10.6084/m9.figshare.3750675
title: Data from Environment-dependent plasticity and ontogenetic changes in the brain of hatchery-reared Atlantic salmon (Näslund et al.)

description: This dataset contains data used for the article:<br>Näslund, Larsen, Thomassen, Aarestrup & JohnssonEnvironment-dependent plasticity and ontogenetic changes in the brain of hatchery-reared Atlantic salmonJournal of Zoology, doi:10.1111/jzo.12392
DOI: 10.6084/m9.figshare.3750675.v1
title: Data_Näslund_JZO-12-15-OM-390

description: This dataset contains data used for the article:<br>Näslund, Larsen, Thomassen, Aarestrup & JohnssonEnvironment-dependent plasticity and ontogenetic changes in the brain of hatchery-reared Atlantic salmonJournal of Zoology, doi:10.1111/jzo.12392
DOI: 10.6084/m9.figshare.3750657
title: Database pyrogenic organic matter in soils

description: Original data of a literature analysis related to the Pyrogenic organic matter quantities in soils. Material used in the article " Pyrogenic Carbon in soils: a literature-based inventory and a global estimation of its content in soil organic carbon and stocks Moritz Reisser, Ross Purves, Michael W.I. Schmidt and Samuel Abiven, Frontiers in Earth science - biogeoscience. <br><br><b>DOI:</b> 10.3389/feart.2016.00080 "
DOI: 10.6084/m9.figshare.3750657.v2
title: Database pyrogenic organic matter in soils

description: Original data of a literature analysis related to the Pyrogenic organic matter quantities in soils. Material used in the article " Pyrogenic Carbon in soils: a literature-based inventory and a global estimation of its content in soil organic carbon and stocks Moritz Reisser, Ross Purves, Michael W.I. Schmidt and Samuel Abiven, Frontiers in Earth science - biogeoscience. <br><br><b>DOI:</b> 10.3389/feart.2016.00080 "
DOI: 10.6084/m9.figshare.3750657.v1
title: data sheet 1.csv

description: Original data of a literature analysis related to the Pyrogenic organic matter quantities in soils. Material used in the article " Pyrogenic Carbon in soils: a literature-based inventory and a global estimation of its content in soil organic carbon and stocks Moritz Reisser, Ross Purves, Michael W.I. Schmidt1 and Samuel Abiven, Frontiers in Earth science - biogeoscience. <br><br><b>DOI:</b> 10.3389/feart.2016.00080 "