cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.5472796
title: Exposure to human influence - ArcGIS toolbox and raster for Slovakia- OLD VERSION

description: Fileset contains an ArcGIS tool that can be used to calculate an "Exposure to human influense" raster. "Exposure to human influence" is a new spatial variable for the land use and land cover change modelling, approximating the intensity of human influence on the landscape. The “exposure” simulates the dilution of human activity from settlements (source points with information about population size or other human activity quantification) to landscape, based on the accessibility. Exposure to a settlement is directly proportional to its population size and inversely proportional to the cost distance from the settlement. Cost distance uses the sine of the slope angle as a cost raster to simulate a barrier effect of the terrain. Overall exposure to human influence summates exposure to all individual settlements in a region. The resultant raster field created for Slovakia achieves observable resemblance to the actual intensity of land use derived from Corine Land Cover map. The Slovakia raster is also supplemented in the fileset.<br>
DOI: 10.6084/m9.figshare.5472757
title: Dataset for: Correlated Poisson Models for Age-Period-Cohort Analysis

description: Age-period-cohort (APC) models are widely used to analyze population-level rates, particularly cancer incidence and mortality. These models are used for descriptive epidemiology, comparative risk analysis, and extrapolating future disease burden. Traditional APC models have two major limitations: 1) they lack parsimony because they require estimation of deviations from linear trends for each level of age, period, and cohort; and 2) rates observed at similar ages, periods, and cohorts are treated as independent, ignoring any correlations between them that may lead to biased parameter estimates and inefficient standard errors. We propose a novel approach to estimation of APC models using a spatially-correlated Poisson model that accounts for over-dispersion and correlations in age, period, and cohort, simultaneously. We treat the outcome of interest as event rates occurring over a grid defined by values of age, period, and cohort. Rates defined in this manner lend themselves to well-established approaches from spatial statistics in which correlation among proximate observations may be modeled using a spatial random effect. Through simulations, we show that in the presence of spatial dependence and over-dispersion: 1) the correlated Poisson model attains lower AIC; 2) the traditional APC model produces biased trend parameter estimates; and 3) the correlated Poisson model corrects most of this bias. We illustrate our approach using brain and breast cancer incidence rates from the Surveillance Epidemiology and End Results Program of the United States. Our approach can be easily extended to accommodate comparative risk analyses and interpolation of cells in the Lexis with sparse data.
DOI: 10.6084/m9.figshare.5472763
title: supplementary tables

description: <br>Various tables:Summary of strains sequenced (Jeffares 2015)A list of strains examined in Kondrat'eva 2001A summary of field microbiology studies that have identified fission yeastsGene diversity data from the 57 non-clonal strains from Jeffares (2015)<br>
DOI: 10.6084/m9.figshare.5472754
title: Data_Availability_CDK6_FLT3_Network_Simulations

description: Data repository that allows to recreate the simulation data presented in the CDK6 FLT3 network manuscript.<br>Please follow the instructions in the README.txt file.<br><br>
DOI: 10.6084/m9.figshare.5472763.v1
title: supplementary tables

description: <br>Various tables:Summary of strains sequenced (Jeffares 2015)A list of strains examined in Kondrat'eva 2001A summary of field microbiology studies that have identified fission yeastsGene diversity data from the 57 non-clonal strains from Jeffares (2015)<br>
DOI: 10.6084/m9.figshare.5472796.v1
title: Exposure to human influence - ArcGIS toolbox and raster for Slovakia

description: Fileset contains an ArcGIS tool that can be used to calculate an "Exposure to human influense" raster. "Exposure to human influence" is a new spatial variable for the land use and land cover change modelling, approximating the intensity of human influence on the landscape. The “exposure” simulates the dilution of human activity from settlements (source points with information about population size or other human activity quantification) to landscape, based on the accessibility. Exposure to a settlement is directly proportional to its population size and inversely proportional to the cost distance from the settlement. Cost distance uses the sine of the slope angle as a cost raster to simulate a barrier effect of the terrain. Overall exposure to human influence summates exposure to all individual settlements in a region. The resultant raster field created for Slovakia achieves observable resemblance to the actual intensity of land use derived from Corine Land Cover map. The Slovakia raster is also supplemented in the fileset.<br>
DOI: 10.6084/m9.figshare.5472682
title: CHCs of antibiotic treated tsetse flies

description: Cuticular hydrocarbon profiles of tsetse flies whose parents were treated with ampicillin, tetracyclin and control flies, 5 and 10 days after eclosure, mass reared or individually reared (for 10day old tetracyclin treated and controls only).
DOI: 10.6084/m9.figshare.5472736
title: Supplementary Material for: Combined Impact of Telomere Length and Mitochondrial DNA Copy Number on Cognitive Function in Community-Dwelling Very Old Adults

description: <b><i>Background:</i></b> This study was conducted to investigate the combined impact of telomere length and mitochondrial DNA (mtDNA) copy number on cognitive function in community-dwelling very old adults. <b><i>Methods:</i></b> In total, 186 subjects over 75 years participated in this study. Cognitive function was assessed using the Korean Mini-Mental State Examination, and leukocyte telomere length and mtDNA copy number were measured using real-time polymerase chain reaction methods. <b><i>Results:</i></b> Both the fourth quartile of telomere length and mtDNA copy number were associated with cognitive dysfunction with an adjusted odds ratio of 0.23 (95% confidence interval (CI), 0.10-0.75) and 0.18 (95% CI, 0.03-0.54), respectively. Participants in the high telomere length/high mtDNA copy number group were more likely to have cognitive dysfunction than participants in the low telomere/low mtDNA copy number group with an adjusted odds ratio of 0.19 (95% CI, 0.07-0.58). <b><i>Conclusion:</i></b> Our results collectively suggest that the combination of telomere length and mtDNA copy number may be useful for monitoring cognitive decline in older adults.
DOI: 10.6084/m9.figshare.5472751
title: Supplementary Material for: Retrospective Analysis of CA19-9 Decrease in Patients with Metastatic Pancreatic Carcinoma Treated with FOLFIRINOX or Gemcitabine in a Randomized Phase III Study (ACCORD11/PRODIGE4)

description: <b><i>Objectives:</i></b> Carbohydrate antigen 19-9 (CA19-9) is a sensitive and specific serum marker in pancreatic cancer. Our retrospective analysis aims to evaluate CA19-9 decrease in patients with metastatic pancreatic cancer treated in ACCORD11/PRODIGE4 (FOLFIRINOX vs. gemcitabine). <b><i>Methods:</i></b> A total of 342 patients were treated. CA19-9 was measured at 8 weeks (±2) in 160 patients from a total of 282 with abnormal CA19-9 values at baseline (gemcitabine arm, <i>n</i> = 75; FOLFIRINOX arm, <i>n</i> = 85). In the present study, 8-week CA19-9 decrease or greater CA19-9 decrease according to the 20 and 90% thresholds were analyzed. Progression-free survival (PFS) and overall survival (OS) were estimated in each subgroup. <b><i>Results:</i></b> In the FOLFIRINOX arm, patients with an 8-week CA19-9 decrease or greater CA19-9 decrease ≥20% showed improved median OS, PFS, and objective response rate. In the overall study population, median OS and PFS were significantly improved in patients with an 8-week CA19-9 decrease ≥20% (vs. &lt;20%). The 8-week CA19-9 decrease was predictive of PFS (interaction test significant according to treatment arm; <i>p</i> = 0.006). <b><i>Conclusion:</i></b> An 8-week CA19-9 decrease ≥20% is a prognostic factor for OS and PFS. The 8-week CA19-9 decrease (20% threshold) is predictive of PFS. It could help to evaluate the efficacy of FOLFIRINOX and gemcitabine regimens.
DOI: 10.6084/m9.figshare.5472751.v1
title: Supplementary Material for: Retrospective Analysis of CA19-9 Decrease in Patients with Metastatic Pancreatic Carcinoma Treated with FOLFIRINOX or Gemcitabine in a Randomized Phase III Study (ACCORD11/PRODIGE4)

description: <b><i>Objectives:</i></b> Carbohydrate antigen 19-9 (CA19-9) is a sensitive and specific serum marker in pancreatic cancer. Our retrospective analysis aims to evaluate CA19-9 decrease in patients with metastatic pancreatic cancer treated in ACCORD11/PRODIGE4 (FOLFIRINOX vs. gemcitabine). <b><i>Methods:</i></b> A total of 342 patients were treated. CA19-9 was measured at 8 weeks (±2) in 160 patients from a total of 282 with abnormal CA19-9 values at baseline (gemcitabine arm, <i>n</i> = 75; FOLFIRINOX arm, <i>n</i> = 85). In the present study, 8-week CA19-9 decrease or greater CA19-9 decrease according to the 20 and 90% thresholds were analyzed. Progression-free survival (PFS) and overall survival (OS) were estimated in each subgroup. <b><i>Results:</i></b> In the FOLFIRINOX arm, patients with an 8-week CA19-9 decrease or greater CA19-9 decrease ≥20% showed improved median OS, PFS, and objective response rate. In the overall study population, median OS and PFS were significantly improved in patients with an 8-week CA19-9 decrease ≥20% (vs. &lt;20%). The 8-week CA19-9 decrease was predictive of PFS (interaction test significant according to treatment arm; <i>p</i> = 0.006). <b><i>Conclusion:</i></b> An 8-week CA19-9 decrease ≥20% is a prognostic factor for OS and PFS. The 8-week CA19-9 decrease (20% threshold) is predictive of PFS. It could help to evaluate the efficacy of FOLFIRINOX and gemcitabine regimens.
DOI: 10.6084/m9.figshare.5472664
title: Trends and determinants in reimbursement decision-making in Poland in the years 2013–2015

description: <b>Objective</b>: To assess changes in the involvement of advisory bodies in the reimbursement decision-making process in Poland, and to evaluate variables that influenced HTA recommendations in the years 2013–2015. <b>Research design and methods</b>: Two independent contributors reviewed the statements of the TC, recommendations issued by the president of the AOTMiT and reimbursement decisions of the MoH for the years 2013–2015. We collected data on the type of recommendations and variables influencing the HTA recommendations. Data were analysed using the χ<sup>2</sup> test, trend test, kappa coefficient of agreement, and ordinal logistic regression. <b>Results</b>: We collected 267 records including 263 statements of the TC and 265 HTA recommendations; the share of positive HTA recommendations changed from 73% in 2013 through 79% in 2014 to 42% in 2015. The kappa coefficient for the association between statements and recommendations decreased from 0.91 in 2013 through 0.86 in 2014 to 0.53 in 2015. The agreement between the reimbursement decisions of the MoH and the HTA recommendations was 0.29 in 2013, 0.22 in 2014 and 0.26 in 2015, which represents fair agreement. <b>Conclusions</b>: Our study revealed a fair agreement between the AOTMiT recommendations and the MoH decisions; the association was especially weak in 2015.
DOI: 10.6084/m9.figshare.5472682.v1
title: CHCs of antibiotic treated tsetse flies

description: Cuticular hydrocarbon profiles of tsetse flies whose parents were treated with ampicillin, tetracyclin and control flies, 5 and 10 days after eclosure, mass reared or individually reared (for 10day old tetracyclin treated and controls only).
DOI: 10.6084/m9.figshare.5472649
title: PlasmidSeeker database k=16

description: PlasmidSeeker database, k-mer length 16
DOI: 10.6084/m9.figshare.5472664.v1
title: Trends and determinants in reimbursement decision-making in Poland in the years 2013–2015

description: <b>Objective</b>: To assess changes in the involvement of advisory bodies in the reimbursement decision-making process in Poland, and to evaluate variables that influenced HTA recommendations in the years 2013–2015. <b>Research design and methods</b>: Two independent contributors reviewed the statements of the TC, recommendations issued by the president of the AOTMiT and reimbursement decisions of the MoH for the years 2013–2015. We collected data on the type of recommendations and variables influencing the HTA recommendations. Data were analysed using the χ<sup>2</sup> test, trend test, kappa coefficient of agreement, and ordinal logistic regression. <b>Results</b>: We collected 267 records including 263 statements of the TC and 265 HTA recommendations; the share of positive HTA recommendations changed from 73% in 2013 through 79% in 2014 to 42% in 2015. The kappa coefficient for the association between statements and recommendations decreased from 0.91 in 2013 through 0.86 in 2014 to 0.53 in 2015. The agreement between the reimbursement decisions of the MoH and the HTA recommendations was 0.29 in 2013, 0.22 in 2014 and 0.26 in 2015, which represents fair agreement. <b>Conclusions</b>: Our study revealed a fair agreement between the AOTMiT recommendations and the MoH decisions; the association was especially weak in 2015.
DOI: 10.6084/m9.figshare.5472646
title: D_mu transition data from A Fokker–Planck reaction model for the epitaxial growth and shape transition of quantum dots

description: We construct a Fokker–Planck reaction (FPR) model to investigate the dynamics of the coupled epitaxial growth and shape transition process of an array of quantum dots (QDs). The FPR model is based on a coupled system of Fokker–Planck equations wherein the distribution of each island type is governed by its own Fokker–Planck equation for growth, with reaction terms describing the shape transitions between islands of different types including asymmetric shapes. The reaction terms for the shape transitions depend on the island size and are determined from explicit calculations of the lowest barrier pathway for each shape transition. This mean-field model enables us to consider the kinetics of asymmetric shape transitions and study the evolution of island shape distributions during the coupled growth and transition process. Asymmetric metastable shapes play a crucial role in the dynamics, with asymmetric QDs comprising up to 10% of the population, and with up to 100% of the shape transitions passing through asymmetric shapes. Moreover, we find that the multimodal distribution characteristic of pyramid/dome QD coarsening can be eliminated at sufficiently high temperature and deposition rate.
DOI: 10.6084/m9.figshare.5472649.v1
title: PlasmidSeeker database k=16

description: PlasmidSeeker database, k-mer length 16
DOI: 10.6084/m9.figshare.5472640
title: H_mu transition data from A Fokker–Planck reaction model for the epitaxial growth and shape transition of quantum dots

description: We construct a Fokker–Planck reaction (FPR) model to investigate the dynamics of the coupled epitaxial growth and shape transition process of an array of quantum dots (QDs). The FPR model is based on a coupled system of Fokker–Planck equations wherein the distribution of each island type is governed by its own Fokker–Planck equation for growth, with reaction terms describing the shape transitions between islands of different types including asymmetric shapes. The reaction terms for the shape transitions depend on the island size and are determined from explicit calculations of the lowest barrier pathway for each shape transition. This mean-field model enables us to consider the kinetics of asymmetric shape transitions and study the evolution of island shape distributions during the coupled growth and transition process. Asymmetric metastable shapes play a crucial role in the dynamics, with asymmetric QDs comprising up to 10% of the population, and with up to 100% of the shape transitions passing through asymmetric shapes. Moreover, we find that the multimodal distribution characteristic of pyramid/dome QD coarsening can be eliminated at sufficiently high temperature and deposition rate.
DOI: 10.6084/m9.figshare.5472637
title: P_mu transition data from A Fokker–Planck reaction model for the epitaxial growth and shape transition of quantum dots

description: We construct a Fokker–Planck reaction (FPR) model to investigate the dynamics of the coupled epitaxial growth and shape transition process of an array of quantum dots (QDs). The FPR model is based on a coupled system of Fokker–Planck equations wherein the distribution of each island type is governed by its own Fokker–Planck equation for growth, with reaction terms describing the shape transitions between islands of different types including asymmetric shapes. The reaction terms for the shape transitions depend on the island size and are determined from explicit calculations of the lowest barrier pathway for each shape transition. This mean-field model enables us to consider the kinetics of asymmetric shape transitions and study the evolution of island shape distributions during the coupled growth and transition process. Asymmetric metastable shapes play a crucial role in the dynamics, with asymmetric QDs comprising up to 10% of the population, and with up to 100% of the shape transitions passing through asymmetric shapes. Moreover, we find that the multimodal distribution characteristic of pyramid/dome QD coarsening can be eliminated at sufficiently high temperature and deposition rate.
DOI: 10.6084/m9.figshare.5472640.v1
title: H_mu transition data from A Fokker–Planck reaction model for the epitaxial growth and shape transition of quantum dots

description: We construct a Fokker–Planck reaction (FPR) model to investigate the dynamics of the coupled epitaxial growth and shape transition process of an array of quantum dots (QDs). The FPR model is based on a coupled system of Fokker–Planck equations wherein the distribution of each island type is governed by its own Fokker–Planck equation for growth, with reaction terms describing the shape transitions between islands of different types including asymmetric shapes. The reaction terms for the shape transitions depend on the island size and are determined from explicit calculations of the lowest barrier pathway for each shape transition. This mean-field model enables us to consider the kinetics of asymmetric shape transitions and study the evolution of island shape distributions during the coupled growth and transition process. Asymmetric metastable shapes play a crucial role in the dynamics, with asymmetric QDs comprising up to 10% of the population, and with up to 100% of the shape transitions passing through asymmetric shapes. Moreover, we find that the multimodal distribution characteristic of pyramid/dome QD coarsening can be eliminated at sufficiently high temperature and deposition rate.
DOI: 10.6084/m9.figshare.5472646.v1
title: D_mu transition data from A Fokker–Planck reaction model for the epitaxial growth and shape transition of quantum dots

description: We construct a Fokker–Planck reaction (FPR) model to investigate the dynamics of the coupled epitaxial growth and shape transition process of an array of quantum dots (QDs). The FPR model is based on a coupled system of Fokker–Planck equations wherein the distribution of each island type is governed by its own Fokker–Planck equation for growth, with reaction terms describing the shape transitions between islands of different types including asymmetric shapes. The reaction terms for the shape transitions depend on the island size and are determined from explicit calculations of the lowest barrier pathway for each shape transition. This mean-field model enables us to consider the kinetics of asymmetric shape transitions and study the evolution of island shape distributions during the coupled growth and transition process. Asymmetric metastable shapes play a crucial role in the dynamics, with asymmetric QDs comprising up to 10% of the population, and with up to 100% of the shape transitions passing through asymmetric shapes. Moreover, we find that the multimodal distribution characteristic of pyramid/dome QD coarsening can be eliminated at sufficiently high temperature and deposition rate.
DOI: 10.6084/m9.figshare.5472625
title: umD transition data from A Fokker–Planck reaction model for the epitaxial growth and shape transition of quantum dots

description: We construct a Fokker–Planck reaction (FPR) model to investigate the dynamics of the coupled epitaxial growth and shape transition process of an array of quantum dots (QDs). The FPR model is based on a coupled system of Fokker–Planck equations wherein the distribution of each island type is governed by its own Fokker–Planck equation for growth, with reaction terms describing the shape transitions between islands of different types including asymmetric shapes. The reaction terms for the shape transitions depend on the island size and are determined from explicit calculations of the lowest barrier pathway for each shape transition. This mean-field model enables us to consider the kinetics of asymmetric shape transitions and study the evolution of island shape distributions during the coupled growth and transition process. Asymmetric metastable shapes play a crucial role in the dynamics, with asymmetric QDs comprising up to 10% of the population, and with up to 100% of the shape transitions passing through asymmetric shapes. Moreover, we find that the multimodal distribution characteristic of pyramid/dome QD coarsening can be eliminated at sufficiently high temperature and deposition rate.
DOI: 10.6084/m9.figshare.5472628
title: bA transition data from A Fokker–Planck reaction model for the epitaxial growth and shape transition of quantum dots

description: We construct a Fokker–Planck reaction (FPR) model to investigate the dynamics of the coupled epitaxial growth and shape transition process of an array of quantum dots (QDs). The FPR model is based on a coupled system of Fokker–Planck equations wherein the distribution of each island type is governed by its own Fokker–Planck equation for growth, with reaction terms describing the shape transitions between islands of different types including asymmetric shapes. The reaction terms for the shape transitions depend on the island size and are determined from explicit calculations of the lowest barrier pathway for each shape transition. This mean-field model enables us to consider the kinetics of asymmetric shape transitions and study the evolution of island shape distributions during the coupled growth and transition process. Asymmetric metastable shapes play a crucial role in the dynamics, with asymmetric QDs comprising up to 10% of the population, and with up to 100% of the shape transitions passing through asymmetric shapes. Moreover, we find that the multimodal distribution characteristic of pyramid/dome QD coarsening can be eliminated at sufficiently high temperature and deposition rate.