cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.9962015
title: Dataset for: Confidence interval estimation for the changepoint of treatment stratification in the presence of a qualitative covariate-treatment interaction

description: The goal in stratified medicine is to administer the ‘best’ treatment to a patient. Not all patients might benefit from the same treatment, the choice of best treatment can depend on certain patient characteristics. In this article, it is assumed that a time-to-event outcome is considered as a patient-relevant outcome and a qualitative interaction between a continuous covariate and treatment exists, i.e. that patients with different values of one specific covariate should be treated differently. We suggest and investigate different methods for confidence interval estimation for the covariate value, where the treatment recommendation should be changed based on data collected in a randomized clinical trial. An adaptation of Fieller’s theorem, the delta method and different bootstrap approaches (normal, percentile-based, wild bootstrap) are investigated and compared in a simulation study. Extensions to multivariable problems are presented and evaluated.We observed appropriate confidence interval coverage following Fieller’s theorem irrespective of sample size, but at the cost of very wide or even infinite confidence intervals. The delta method and the wild bootstrap approach provided the smallest intervals, but inadequate coverage for small to moderate event numbers, also depending on the location of the true changepoint. For the percentile-based bootstrap, wide intervals were observed and it was slightly conservative regarding coverage, whereas the normal bootstrap did not provide acceptable results for many scenarios. The described methods were also applied to data from a randomized clinical trial comparing two treatments for patients with symptomatic, severe carotid artery stenosis, considering patient’s age as predictive marker.
DOI: 10.17608/k6.auckland.9961967
title: Dataset for acceptability of early childhood obesity prediction models to New Zealand families

description: Dataset for anonymous questionnaire regarding caregiver acceptance of early childhood obesity prediction. The questionnaire was distributed online via Qualtrics. Respondents were parents, caregivers, and grandparents of New Zealand-based children aged 5 years and under. Ethical approval for the study and publication of these data was granted by the University of Auckland Human Participants Ethics Committee (#020912).
DOI: 10.17608/k6.auckland.9961967.v1
title: Dataset for acceptability of early childhood obesity prediction models to New Zealand families

description: Dataset for anonymous questionnaire regarding caregiver acceptance of early childhood obesity prediction. The questionnaire was distributed online via Qualtrics. Respondents were parents, caregivers, and grandparents of New Zealand-based children aged 5 years and under. Ethical approval for the study and publication of these data was granted by the University of Auckland Human Participants Ethics Committee (#020912).
DOI: 10.6084/m9.figshare.9962015.v1
title: Dataset for: Confidence interval estimation for the changepoint of treatment stratification in the presence of a qualitative covariate-treatment interaction

description: The goal in stratified medicine is to administer the ‘best’ treatment to a patient. Not all patients might benefit from the same treatment, the choice of best treatment can depend on certain patient characteristics. In this article, it is assumed that a time-to-event outcome is considered as a patient-relevant outcome and a qualitative interaction between a continuous covariate and treatment exists, i.e. that patients with different values of one specific covariate should be treated differently. We suggest and investigate different methods for confidence interval estimation for the covariate value, where the treatment recommendation should be changed based on data collected in a randomized clinical trial. An adaptation of Fieller’s theorem, the delta method and different bootstrap approaches (normal, percentile-based, wild bootstrap) are investigated and compared in a simulation study. Extensions to multivariable problems are presented and evaluated.We observed appropriate confidence interval coverage following Fieller’s theorem irrespective of sample size, but at the cost of very wide or even infinite confidence intervals. The delta method and the wild bootstrap approach provided the smallest intervals, but inadequate coverage for small to moderate event numbers, also depending on the location of the true changepoint. For the percentile-based bootstrap, wide intervals were observed and it was slightly conservative regarding coverage, whereas the normal bootstrap did not provide acceptable results for many scenarios. The described methods were also applied to data from a randomized clinical trial comparing two treatments for patients with symptomatic, severe carotid artery stenosis, considering patient’s age as predictive marker.
DOI: 10.6084/m9.figshare.9961910
title: grid.1032.0

description: What does Australasian Research Look like? data for grid.1032.0
DOI: 10.6084/m9.figshare.9961910.v1
title: grid.1032.0

description: What does Australasian Research Look like? data for grid.1032.0
DOI: 10.6084/m9.figshare.9961715
title: grid.1021.2

description: What does a Australasian Research look like? data for grid.1021.2
DOI: 10.6084/m9.figshare.9961715.v1
title: grid.1021.2

description: What does a Australasian Research look like? data for grid.1021.2
DOI: 10.6084/m9.figshare.9961673
title: holdout.json

description: Holdout from collection of user-generated online news comments published from 2015-2017 as part of a now-defunct commenting platform. For use in furthering research into online toxicity, bias, and harassment.
DOI: 10.6084/m9.figshare.9961070
title: grid.1022.1

description: What does Australasian Research Look Like Data for institution
DOI: 10.5281/zenodo.3871707
title: HydroGFD3.0

description: HydroGFD3.0 (Hydrological Global Forcing Data) is a data set of bias adjusted reanalysis data for daily precipitation, and minimum, mean, and maximum temperature. It has an almost global land area coverage, excluding the Antarctic continent, and is here provided for the period from February 1979 to December 2019. The dataset is continuously updated every day. If you are interested in more recent data, please make a request for data here: https://hypeweb.smhi.se/buy-water-services/data-subscription/ . Please mention the data set name HydroGFD3 in the request. A reference paper has been submitted to the Copernicus journal Earth System Science Data (ESSD).
DOI: 10.6084/m9.figshare.9960128
title: Induction of chromosomal damage in exfoliated buccal and nasal cells of road markers

description: Road markers are exposed to various chemicals and particles. The aim of this study was to determine whether road worker exposure induceschromosomal damage which is indicative for increased cancer risks. Micronucleus (MN) cytome assays were thus conducted with exfoliated nasal and buccal cells collected from 42 workers and 42 matched controls. The frequencies of MN (reflecting chromosomal aberrations), nuclear buds (NBuds; reflecting gene amplifications) and binucleated cells (BN; reflecting disturbed mitosis) were scored. Further, the rates of nuclear anomalies indicative of acute cytotoxicity (condensed chromatin, karyorrhexis, karyolysis, pyknosis) were evaluated. Data demonstrated marked induction of MN, NBuds, and BN by 1.34-fold, 1.24-fold and 1.14-fold in buccal cells. In nasal cells, only MN frequencies were elevated, 1.23-fold. These effects were paralleled by increased rates of condensed chromatin, karyorrhexis and karyolysis in both cell types. The effects were more pronounced in individuals who had worked for more than 10 years while smoking did not produce synergistic responses. This is the first investigation concerning the induction of genetic damage in road markers and the results are suggestive for enhanced cancer risks. It is conceivable that exposure to silica dust (known to induce cancer and genetic damage) and/or benzoyl peroxide which forms reactive radicals may be associated with the observed genetic damage in road workers. Further investigations of the cancer risks of these workers are warranted.
DOI: 10.6084/m9.figshare.9960131
title: Metadata record for: The SCOC database, a large, open, and global database with sediment community oxygen consumption rates

description: This dataset contains key characteristics about the data described in the Data Descriptor The SCOC database, a large, open, and global database with sediment community oxygen consumption rates. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.5281/zenodo.3871706
title: HydroGFD3.0

description: HydroGFD3.0 (Hydrological Global Forcing Data) is a data set of bias adjusted reanalysis data for daily precipitation, and minimum, mean, and maximum temperature. It has an almost global land area coverage, excluding the Antarctic continent, and is here provided for the period from February 1979 to December 2019. The dataset is continuously updated every day. If you are interested in more recent data, please make a request for data here: https://hypeweb.smhi.se/buy-water-services/data-subscription/ . Please mention the data set name HydroGFD3 in the request. A reference paper has been submitted to the Copernicus journal Earth System Science Data (ESSD).
DOI: 10.6084/m9.figshare.9960128.v1
title: Induction of chromosomal damage in exfoliated buccal and nasal cells of road markers

description: Road markers are exposed to various chemicals and particles. The aim of this study was to determine whether road worker exposure induceschromosomal damage which is indicative for increased cancer risks. Micronucleus (MN) cytome assays were thus conducted with exfoliated nasal and buccal cells collected from 42 workers and 42 matched controls. The frequencies of MN (reflecting chromosomal aberrations), nuclear buds (NBuds; reflecting gene amplifications) and binucleated cells (BN; reflecting disturbed mitosis) were scored. Further, the rates of nuclear anomalies indicative of acute cytotoxicity (condensed chromatin, karyorrhexis, karyolysis, pyknosis) were evaluated. Data demonstrated marked induction of MN, NBuds, and BN by 1.34-fold, 1.24-fold and 1.14-fold in buccal cells. In nasal cells, only MN frequencies were elevated, 1.23-fold. These effects were paralleled by increased rates of condensed chromatin, karyorrhexis and karyolysis in both cell types. The effects were more pronounced in individuals who had worked for more than 10 years while smoking did not produce synergistic responses. This is the first investigation concerning the induction of genetic damage in road markers and the results are suggestive for enhanced cancer risks. It is conceivable that exposure to silica dust (known to induce cancer and genetic damage) and/or benzoyl peroxide which forms reactive radicals may be associated with the observed genetic damage in road workers. Further investigations of the cancer risks of these workers are warranted.
DOI: 10.6084/m9.figshare.9960035
title: Supplemental material for: The Cumulative Exposure to High-sensitivity C-reactive Protein Predicts the Risk of Chronic Kidney Diseases

description: <b>Table S</b><b>1.</b><b> Adjusted HRs and 95% CI of Baseline hs-CRP for Endpoint Events by Cox Proportional Hazards Models</b><b><br></b><b>Note:</b><b>Baseline hs-CRP, high-sensitivity C-reactive protein in 2006.</b><b><br></b><b>Table S2</b><b>.</b><b> Adjusted HRs and 95% CI of cumhs-CRP for CKD by Cox Proportional Hazards Models in diff</b><b>e</b><b>rent population</b><b><br></b><b>Note:</b><b>CI, conﬁdence interval. P trend, test of trend based on median value in each category for ordinal categorical variables; cumhs-CRP, cumulative high-sensitivity C-reactive protein; CKD, Chronic Kidney Diseases; HR, hazard ratio; *Compared with nonexposed group.</b><b>Model A: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Smoke/ Non-smoke population.</b><b>Model B: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Hypertension/Non-hypertension population. </b><b>Model C: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Diabetes mellitus/Non-diabetes mellitus population.</b><b>Model D: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Hyperlipidemia/Non-hyperlipidemia population.</b> <br>
DOI: 10.6084/m9.figshare.9960131.v2
title: Metadata record for: The SCOC database, a large, open, and global database with sediment community oxygen consumption rates

description: This dataset contains key characteristics about the data described in the Data Descriptor The SCOC database, a large, open, and global database with sediment community oxygen consumption rates. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> Versioning Note:Version 2 was generated when the metadata format was updated from JSON to JSON-LD. This was an automatic process that changed only the format, not the contents, of the metadata.<br>
DOI: 10.6084/m9.figshare.9960032
title: grid.1014.4

description: What does Australasian Research Look Like Data for institution
DOI: 10.6084/m9.figshare.9960035.v1
title: Supplemental material for: The Cumulative Exposure to High-sensitivity C-reactive Protein Predicts the Risk of Chronic Kidney Diseases

description: <b>Table S</b><b>1.</b><b> Adjusted HRs and 95% CI of Baseline hs-CRP for Endpoint Events by Cox Proportional Hazards Models</b><b><br></b><b>Note:</b><b>Baseline hs-CRP, high-sensitivity C-reactive protein in 2006.</b><b><br></b><b>Table S2</b><b>.</b><b> Adjusted HRs and 95% CI of cumhs-CRP for CKD by Cox Proportional Hazards Models in diff</b><b>e</b><b>rent population</b><b><br></b><b>Note:</b><b>CI, conﬁdence interval. P trend, test of trend based on median value in each category for ordinal categorical variables; cumhs-CRP, cumulative high-sensitivity C-reactive protein; CKD, Chronic Kidney Diseases; HR, hazard ratio; *Compared with nonexposed group.</b><b>Model A: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Smoke/ Non-smoke population.</b><b>Model B: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Hypertension/Non-hypertension population. </b><b>Model C: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Diabetes mellitus/Non-diabetes mellitus population.</b><b>Model D: adjusted for age, sex, baseline SBP, BMI, FPG, TC, physical activity, smoking, drinking, and treatment of antihypertensive, antidiabetic, and lipid-lowering medication and 06hs-CRP. cumhs-CRP for CKD by Cox Proportional Hazards Model in Hyperlipidemia/Non-hyperlipidemia population.</b> <br>
DOI: 10.6084/m9.figshare.9960131.v1
title: Metadata record for: The SCOC database, a large, open, and global database with sediment community oxygen consumption rates

description: This dataset contains key characteristics about the data described in the Data Descriptor The SCOC database, a large, open, and global database with sediment community oxygen consumption rates. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format <br> <br> <br>
DOI: 10.6084/m9.figshare.9959915
title: The impact of infant formula production on the concentrations of 3-MCPD and glycidyl esters

description: Fatty acid esters of 3-monochloropropanediol (3-MCPD), 2-monochlorpropanediol (2-MCPD), and glycidol are process-induced chemical contaminants found in refined vegetable oils. Due to their toxicological properties, there is potential concern regarding exposure to these compounds, particularly for formula-fed infants where refined edible oils are the primary fat source in commercial infant formulas. In order to assess exposure, 55 commercial oil samples, specifically intended for use in infant formula, were collected in 2015 from various infant formula manufacturers in the United States and analysed using a LC-MS/MS direct detection method. At the time of collection, there were no validated methods for the analysis of MCPD and glycidyl esters in infant formula. Therefore, analysis of these commercial oil samples served as an alternative for confirming the presence of these ester contaminants in infant formula. Bound 3-MCPD and glycidol concentrations in these oils ranged from below the limit of quantitation (−1 and −1, respectively. Highest ester concentrations were observed in palm olein samples. Concentrations of bound 3-MCPD and glycidol in the commercial oils were consistent with previously published occurrence studies at the time, suggesting that oils used in the manufacture of infant formula were similar (or processed in a similar manner) as refined oils marketed directly to consumers in 2015. In order to determine if conditions during infant formula production impact the presence of 3-MCPD and glycidyl esters in the finished products, concentrations in oils were compared to concentrations in finished infant formula collected at approximately the same time. The comparison revealed that conditions used in the manufacture of infant formula likely initiate the destruction or conversion of glycidyl esters to other compounds, resulting in lower amounts of bound glycidol in the final product relative to the concentrations originally present in the refined oils.
DOI: 10.6084/m9.figshare.9959915.v1
title: The impact of infant formula production on the concentrations of 3-MCPD and glycidyl esters

description: Fatty acid esters of 3-monochloropropanediol (3-MCPD), 2-monochlorpropanediol (2-MCPD), and glycidol are process-induced chemical contaminants found in refined vegetable oils. Due to their toxicological properties, there is potential concern regarding exposure to these compounds, particularly for formula-fed infants where refined edible oils are the primary fat source in commercial infant formulas. In order to assess exposure, 55 commercial oil samples, specifically intended for use in infant formula, were collected in 2015 from various infant formula manufacturers in the United States and analysed using a LC-MS/MS direct detection method. At the time of collection, there were no validated methods for the analysis of MCPD and glycidyl esters in infant formula. Therefore, analysis of these commercial oil samples served as an alternative for confirming the presence of these ester contaminants in infant formula. Bound 3-MCPD and glycidol concentrations in these oils ranged from below the limit of quantitation (−1 and −1, respectively. Highest ester concentrations were observed in palm olein samples. Concentrations of bound 3-MCPD and glycidol in the commercial oils were consistent with previously published occurrence studies at the time, suggesting that oils used in the manufacture of infant formula were similar (or processed in a similar manner) as refined oils marketed directly to consumers in 2015. In order to determine if conditions during infant formula production impact the presence of 3-MCPD and glycidyl esters in the finished products, concentrations in oils were compared to concentrations in finished infant formula collected at approximately the same time. The comparison revealed that conditions used in the manufacture of infant formula likely initiate the destruction or conversion of glycidyl esters to other compounds, resulting in lower amounts of bound glycidol in the final product relative to the concentrations originally present in the refined oils.
DOI: 10.6084/m9.figshare.9959825
title: grid.266842.c

description: What does Australasian Research Look Like Data for institution
DOI: 10.6084/m9.figshare.9959750
title: PLSDB 2019_06_05

description: PLSDB files from 2019.06.05<br>
DOI: 10.6084/m9.figshare.9959699
title: Fish data

description: Fish data used in Chevalier et al.<b> Revisiting the abundant-center hypothesis: a niche perspective.</b><br><br>Abundance data were from:<br>Knouft JH, Anthony MM (2016) Climate and local abundance in freshwater fishes. Royal Society Open Science 3(6): 160093. http://dx.doi.org/10.1098/rsos.160093Additionally, please cite the Dryad data package:<br>Body size estimates were from:<br>Froese, R. & Pauly, D. (2000). FishBase 2000: Concepts Designs and Data Sources, vol. 1594. WorldFish, ICLARM, Los Ba~nos, Laguna, Philippines.<br>
DOI: 10.6084/m9.figshare.9959720
title: Tree data

description: Tree data used in Chevalier et al.<b> Revisiting the abundant-center hypothesis: a niche perspective</b><b><br></b>Abundance data were from:<br>Woudenberg, S.W., Conkling, B.L., OConnell, B.M., LaPoint, E.B., Turner, J.A. & Waddell, K.L. (2010). The forest inventory and analysis database: database description and users manual version 4.0 for phase 2. General Technical Reports RMRS-GTR-245. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO<br>Body size estimates were from (<b>note that these data are not publicly available and a formal request should be made at https://www.try-db.org/TryWeb/Home.php</b>):<br>Kattge, J., Diaz, S., Lavorel, S., Prentice, I., Leadley, P., B€onisch, G. et al. (2011). TRY–a global database of plant traits. Glob. Change Biol., 17, 2905–2935.
DOI: 10.6084/m9.figshare.9959750.v1
title: PLSDB 2019_06_05

description: PLSDB files from 2019.06.05<br>
DOI: 10.6084/m9.figshare.9959693
title: Supplementary_Material

description: Alignment and phylogeny files referring to the phylogenetic tree presented in Figure 1B of the paper entitled "A New Pathway for Mannitol Metabolism in Yeasts Suggests a Link to the Evolution of Alcoholic Fermentation" by Gonçalves C et al., 2019.
DOI: 10.6084/m9.figshare.9959720.v1
title: Tree data

description: Tree data used in Chevalier et al.<b> Revisiting the abundant-center hypothesis: a niche perspective</b><b><br></b>Abundance data were from:<br>Woudenberg, S.W., Conkling, B.L., OConnell, B.M., LaPoint, E.B., Turner, J.A. & Waddell, K.L. (2010). The forest inventory and analysis database: database description and users manual version 4.0 for phase 2. General Technical Reports RMRS-GTR-245. US Department of Agriculture, Forest Service, Rocky Mountain Research Station, Fort Collins, CO<br>Body size estimates were from (<b>note that these data are not publicly available and a formal request should be made at https://www.try-db.org/TryWeb/Home.php</b>):<br>Kattge, J., Diaz, S., Lavorel, S., Prentice, I., Leadley, P., B€onisch, G. et al. (2011). TRY–a global database of plant traits. Glob. Change Biol., 17, 2905–2935.