cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.3121126
title: Data Simon Motion Task

description: This data set contains accuracy and response times (in milliseconds) for 64 participants on a Simon-like task. The task involved reporting the direction of motion of moving dots by pressing left and right keys. The dots appeared on the left or right side of fixation cross. Two groups of left and two groups of right handed individuals responded using their dominant and their non-dominant hand. <br>
DOI: 10.6084/m9.figshare.3121045.v2
title: PSBC and covariates

description: Proportion of successful breeders by cohort and relevant covariates.
DOI: 10.6084/m9.figshare.3121024
title: AFSR and SFSB and covariates

description: Age at first successful reproduction, size of the first successful brood and proportion of successful breeders by cohort and relevant covariates.
DOI: 10.6084/m9.figshare.3121027
title: UKCP09-Drought Statistics

description: This dataset was used for analysis in Hoang and Dessai (submitted)
DOI: 10.6084/m9.figshare.3120979
title: T1DM echo database.xlsx

description: dataset used for the article "Tissue Doppler imaging is a sensitive echocardiographic technique to detect subclinical systolic and diastolic dysfunction of both ventricles in type 1 diabetes mellitus"
DOI: 10.6084/m9.figshare.3121027.v1
title: UKCP09-Drought Statistics

description: This dataset was used for analysis in Hoang and Dessai (submitted)
DOI: 10.6084/m9.figshare.3121045.v1
title: PSBC for FigShare

description: Proportion of successful breeders by cohort and relevant covariates.
DOI: 10.6084/m9.figshare.3120946
title: Web of Science and Altmetric.com - 4 Spanish Universities (2014)

description: Web of Science documents documents and altmetric.com indicators
DOI: 10.6084/m9.figshare.3121024.v1
title: AFSR and SFSB and covariates for FigShare.csv

description: Age at first successful reproduction, size of the first successful brood and proportion of successful breeders by cohort and relevant covariates.
DOI: 10.6084/m9.figshare.3121024.v3
title: AFSR and SFSB and covariates

description: Age at first successful reproduction, size of the first successful brood and proportion of successful breeders by cohort and relevant covariates.
DOI: 10.6084/m9.figshare.3121024.v2
title: AFSR and SFSB and covariates

description: Age at first successful reproduction, size of the first successful brood and proportion of successful breeders by cohort and relevant covariates.
DOI: 10.6084/m9.figshare.3120751
title: data-sims.tar.gz

description: <b>Simulation data</b>The BOLD timeseries data and underlying ground-truth network matrices are available below. We welcome any feedback on our evaluation paper or the simulation datasets. The data from all 28 simulations is available in MATLAB format. <br>
DOI: 10.6084/m9.figshare.3120946.v3
title: Web of Science and Altmetric.com - 4 Spanish Universities (2014)

description: Web of Science documents documents and altmetric.com indicators
DOI: 10.6084/m9.figshare.3120748
title: data-sims.tar.gz

description: <b>Simulation data</b>The BOLD timeseries data and underlying ground-truth network matrices are available below. We welcome any feedback on our evaluation paper or the simulation datasets. The data from all 28 simulations is available in MATLAB format. The variables are:<i>Nsubjects</i> is the number of "subjects" in the simulation.<i>Ntimepoints</i> is the number of timepoints for each subject.<i>Nnodes</i> is the number of nodes in the network.<i>ts</i> contains all subjects' timeseries concatenated. Please note that all methods only ever process one "subject" at a time, in order to evaluate on realistic session durations, and then characterise variability by comparing results across subjects. There are <i>Nnodes</i> columns, one for each network node. Each vertical chunk of <i>Ntimepoints</i> X <i>Nnodes</i> is a different subject's dataset.<i>net</i> contains the ground truth networks (dimensions <i>Nsubjects</i> X <i>Nnodes</i> X <i>Nnodes</i>), which in general are slightly different for each of the subjects.
DOI: 10.6084/m9.figshare.3120751.v1
title: data-sims.tar.gz

description: <b>Simulation data</b>The BOLD timeseries data and underlying ground-truth network matrices are available below. We welcome any feedback on our evaluation paper or the simulation datasets. The data from all 28 simulations is available in MATLAB format. <br>
DOI: 10.6084/m9.figshare.3120748.v1
title: data-sims.tar.gz

description: <b>Simulation data</b>The BOLD timeseries data and underlying ground-truth network matrices are available below. We welcome any feedback on our evaluation paper or the simulation datasets. The data from all 28 simulations is available in MATLAB format. The variables are:<i>Nsubjects</i> is the number of "subjects" in the simulation.<i>Ntimepoints</i> is the number of timepoints for each subject.<i>Nnodes</i> is the number of nodes in the network.<i>ts</i> contains all subjects' timeseries concatenated. Please note that all methods only ever process one "subject" at a time, in order to evaluate on realistic session durations, and then characterise variability by comparing results across subjects. There are <i>Nnodes</i> columns, one for each network node. Each vertical chunk of <i>Ntimepoints</i> X <i>Nnodes</i> is a different subject's dataset.<i>net</i> contains the ground truth networks (dimensions <i>Nsubjects</i> X <i>Nnodes</i> X <i>Nnodes</i>), which in general are slightly different for each of the subjects.
DOI: 10.6084/m9.figshare.3120946.v2
title: Web of Science and Altmetric.com - 4 Spanish Universities (2014)

description: Web of Science documents documents and altmetric.com indicators
DOI: 10.6084/m9.figshare.3120697
title: De-identified DASS norms POV282

description: Data comprised of female partners of Australian combat veterans (N=282). <br>Identifying information has been removed including the "number of deployments".
DOI: 10.6084/m9.figshare.3120682
title: Further increased production of free fatty acids by overexpressing a predicted transketolase gene of the pentose phosphate pathway in <i>Aspergillus oryzae faaA</i> disruptant

description: Free fatty acids are useful as source materials for the production of biodiesel fuel and various chemicals such as pharmaceuticals and dietary supplements. Previously, we attained a 9.2-fold increase in free fatty acid productivity by disrupting a predicted acyl-CoA synthetase gene (<i>faaA</i>, AO090011000642) in <i>Aspergillus oryzae</i>. In this study, we achieved further increase in the productivity by overexpressing a predicted transketolase gene of the pentose phosphate pathway in the <i>faaA</i> disruptant. The <i>A. oryzae</i> genome is predicted to have three transketolase genes and overexpression of AO090023000345, one of the three genes, resulted in phenotypic change and further increase (corresponding to an increased production of 0.38 mmol/g dry cell weight) in free fatty acids at 1.4-fold compared to the <i>faaA</i> disruptant. Additionally, the biomass of hyphae increased at 1.2-fold by the overexpression. As a result, free fatty acid production yield per liter of liquid culture increased at 1.7-fold by the overexpression. The <i>A. oryzae ΔfaaA_tktOE</i> overexpressing a predicted transketolase gene in the pentose phosphate pathway increased FFA yield at 1.7-fold from the <i>ΔfaaA</i> and showed phenotypic change.
DOI: 10.6084/m9.figshare.3120685
title: Nonlinear optical properties of curcumin: solvatochromism-based approach and computational study

description: Nonlinear optical (NLO) properties of curcumin were studied using solvatochromic method and density functional theory (DFT). DFT calculations were performed to determine the static first hyperpolarisability (β<sub>ο</sub>) and its related properties (μ, α<sub>0</sub>,<sub> </sub>Δα,<i> β</i>, <i>) </i> for curcumin, using B3LYP functional with 6−31G (d), 6−311+G (d) and 6−311+G (d,p) basis sets at the ground-state and excited-state geometries and with CAM-B3LYP using 6−311+G (d,p) basis sets at the ground-state geometry in different solvent environments. In polar solvent environment, the values are slightly lower as compared to the non-polar solvent environments. The results obtained are correlated with the polarisability parameter α<sub>CT</sub>, first hyperpolarisability parameter β<sub>CT</sub> and the solvatochromic descriptor of γ<sub>SD</sub>obtained by the solvatochromic method. The static first hyperpolarisability (β<sub>ο</sub>) and its related properties were compared with urea and dibenzoylmethane (β-diketonate) and it is observed that curcumin shows very large values for first hyperpolarisability and its components.
DOI: 10.6084/m9.figshare.3120682.v1
title: Further increased production of free fatty acids by overexpressing a predicted transketolase gene of the pentose phosphate pathway in <i>Aspergillus oryzae faaA</i> disruptant

description: Free fatty acids are useful as source materials for the production of biodiesel fuel and various chemicals such as pharmaceuticals and dietary supplements. Previously, we attained a 9.2-fold increase in free fatty acid productivity by disrupting a predicted acyl-CoA synthetase gene (<i>faaA</i>, AO090011000642) in <i>Aspergillus oryzae</i>. In this study, we achieved further increase in the productivity by overexpressing a predicted transketolase gene of the pentose phosphate pathway in the <i>faaA</i> disruptant. The <i>A. oryzae</i> genome is predicted to have three transketolase genes and overexpression of AO090023000345, one of the three genes, resulted in phenotypic change and further increase (corresponding to an increased production of 0.38 mmol/g dry cell weight) in free fatty acids at 1.4-fold compared to the <i>faaA</i> disruptant. Additionally, the biomass of hyphae increased at 1.2-fold by the overexpression. As a result, free fatty acid production yield per liter of liquid culture increased at 1.7-fold by the overexpression. The <i>A. oryzae ΔfaaA_tktOE</i> overexpressing a predicted transketolase gene in the pentose phosphate pathway increased FFA yield at 1.7-fold from the <i>ΔfaaA</i> and showed phenotypic change.
DOI: 10.6084/m9.figshare.3120676
title: De-identified DASS norms three groups (POV50, SASR41, non-SASR38)

description: Data with mental health (depression, anxiety, and stress) scores for three samples. Female partners: (a) random sub-sample of partners of Australian combat veterans, (b) partners of Special Air Services Regiment (SASR) personnel, and (c) partners of current serving military (non-SASR) personnel.
DOI: 10.6084/m9.figshare.3120685.v1
title: Nonlinear optical properties of curcumin: solvatochromism-based approach and computational study

description: Nonlinear optical (NLO) properties of curcumin were studied using solvatochromic method and density functional theory (DFT). DFT calculations were performed to determine the static first hyperpolarisability (β<sub>ο</sub>) and its related properties (μ, α<sub>0</sub>,<sub> </sub>Δα,<i> β</i>, <i>) </i> for curcumin, using B3LYP functional with 6−31G (d), 6−311+G (d) and 6−311+G (d,p) basis sets at the ground-state and excited-state geometries and with CAM-B3LYP using 6−311+G (d,p) basis sets at the ground-state geometry in different solvent environments. In polar solvent environment, the values are slightly lower as compared to the non-polar solvent environments. The results obtained are correlated with the polarisability parameter α<sub>CT</sub>, first hyperpolarisability parameter β<sub>CT</sub> and the solvatochromic descriptor of γ<sub>SD</sub>obtained by the solvatochromic method. The static first hyperpolarisability (β<sub>ο</sub>) and its related properties were compared with urea and dibenzoylmethane (β-diketonate) and it is observed that curcumin shows very large values for first hyperpolarisability and its components.
DOI: 10.6084/m9.figshare.3120697.v1
title: Deidentified DASS norms PVA282

description: Data comprised of female partners of Australian combat veterans (N=282). <br>Identifying information has been removed including the "number of deployments".
DOI: 10.6084/m9.figshare.3120676.v1
title: Deidentifed DASS norms three groups (PVA50, SASR41, non-SASR38)

description: Data with mental health (depression, anxiety, and stress) scores for three samples. Female partners: (a) random sub-sample of partners of Australian combat veterans, (b) partners of Special Air Services Regiment (SASR) personnel, and (c) partners of current serving military (non-SASR) personnel.
DOI: 10.6084/m9.figshare.3120697.v2
title: Deidentified DASS norms PVA282

description: Data comprised of female partners of Australian combat veterans (N=282). <br>Identifying information has been removed including the "number of deployments".
DOI: 10.6084/m9.figshare.3120697.v3
title: De-identified DASS norms PVA282

description: Data comprised of female partners of Australian combat veterans (N=282). <br>Identifying information has been removed including the "number of deployments".
DOI: 10.6084/m9.figshare.3120676.v2
title: Deidentifed DASS norms three groups (PVA50, SASR41, non-SASR38)

description: Data with mental health (depression, anxiety, and stress) scores for three samples. Female partners: (a) random sub-sample of partners of Australian combat veterans, (b) partners of Special Air Services Regiment (SASR) personnel, and (c) partners of current serving military (non-SASR) personnel.
DOI: 10.6084/m9.figshare.3120640
title: Integrative taxonomy of new firefly taxa from the Atlantic Rainforest

description: Tropical mountains are hotspots of biodiversity, hosting many endemic species. Here, we propose <i>Luciuranus</i> gen. nov. and four new firefly species dwelling in montane habitats of the Brazilian Atlantic Rainforest. <i>Luciuranus</i> gen. nov. is unique in the shape of the last abdominal segments of both males and females, varying in a clear species-specific fashion. <i>Luciuranus</i> <i>josephi</i> sp. nov. and <i>L. jameshooki</i> sp. nov. are restricted to Serra dos Órgãos mountain range, while <i>L. dextrus</i> sp. nov. and <i>L. sinistrus</i> sp. nov. are restricted to Serra da Mantiqueira formation. DNA barcoding with <i>COI</i> gene confirmed species identities and male–female associations. We propose that terminalia structures work together as a lock-and-key mechanism, avoiding hybridization in overlapping zones along heterogeneous habitats, such as montane forests, where temperature, moisture, and vegetation cover can change significantly even in small spatial and temporal scales. Such morphological displacement is discussed in terms of sexual selection on both male and female features. We also provide detailed morphological descriptions, illustrations, and a key to species based on males and females. http://zoobank.org/urn:lsid:zoobank.org:pub:05598351-4655-49E5-9011-B90DFC7D9435
DOI: 10.6084/m9.figshare.3120640.v1
title: Integrative taxonomy of new firefly taxa from the Atlantic Rainforest

description: Tropical mountains are hotspots of biodiversity, hosting many endemic species. Here, we propose <i>Luciuranus</i> gen. nov. and four new firefly species dwelling in montane habitats of the Brazilian Atlantic Rainforest. <i>Luciuranus</i> gen. nov. is unique in the shape of the last abdominal segments of both males and females, varying in a clear species-specific fashion. <i>Luciuranus</i> <i>josephi</i> sp. nov. and <i>L. jameshooki</i> sp. nov. are restricted to Serra dos Órgãos mountain range, while <i>L. dextrus</i> sp. nov. and <i>L. sinistrus</i> sp. nov. are restricted to Serra da Mantiqueira formation. DNA barcoding with <i>COI</i> gene confirmed species identities and male–female associations. We propose that terminalia structures work together as a lock-and-key mechanism, avoiding hybridization in overlapping zones along heterogeneous habitats, such as montane forests, where temperature, moisture, and vegetation cover can change significantly even in small spatial and temporal scales. Such morphological displacement is discussed in terms of sexual selection on both male and female features. We also provide detailed morphological descriptions, illustrations, and a key to species based on males and females. http://zoobank.org/urn:lsid:zoobank.org:pub:05598351-4655-49E5-9011-B90DFC7D9435
DOI: 10.6084/m9.figshare.3120676.v3
title: De-identifed DASS norms three groups (PVA50, SASR41, non-SASR38)

description: Data with mental health (depression, anxiety, and stress) scores for three samples. Female partners: (a) random sub-sample of partners of Australian combat veterans, (b) partners of Special Air Services Regiment (SASR) personnel, and (c) partners of current serving military (non-SASR) personnel.
DOI: 10.6084/m9.figshare.3120697.v4
title: De-identified DASS norms POV282

description: Data comprised of female partners of Australian combat veterans (N=282). <br>Identifying information has been removed including the "number of deployments".
DOI: 10.6084/m9.figshare.3120625
title: Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections?

description: Species distribution models (SDMs) are one of the most important GIScience research areas in biogeography and are the primary means by which the potential effects of climate change on species’ distributions and ranges are investigated. Dispersal is an important ecological process for species responding to changing climates, however, SDMs and their subsequent spatial products rarely reflect accessibility to any future suitable environment. Dispersal-related movement can be confounded by factors that vary across landscapes and climates, as well as within and among species, and it has therefore remained difficult to parametrise in SDMs. Here we compared 20 models that have previously been used (or have the potential to be used) to represent dispersal processes in SDM to predict future range shifts in response to climate change. We assessed the different dispersal models in terms of their accuracy at predicting future distributions, as well as the uncertainty associated with their predictions. Atlas data for 50 bird species from 1988 to 1991 in Great Britain were treated as base distributions (t<sub>1</sub>), with the species–environment relationships extrapolated (using three commonly used statistical methods) to 2008–2011 (t<sub>2</sub>). Dispersal (in the form of the 20 different models) was simulated from the base distribution (t<sub>1</sub>) to 2008–2011 (t<sub>2</sub>). The results were then combined and used to identify locations that were both abiotically suitable (obtained from the statistical methods) and accessible (obtained from the dispersal models). The accuracy of these coupled projections was assessed with the 2008–2011 atlas data (the observed t<sub>2</sub> distribution). There was substantial variation in the accuracy of the different dispersal models, and in general, the more restrictive dispersal models (e.g. fixed rate dispersal) resulted in lower accuracy for the metrics which reward correct prediction of presences. Ensemble models of the dispersal methods (generated by combining multiple projection outcomes) were created for each species, and a new Ensemble Agreement Index (EAI), which ranges from 0 (no agreement among models) to 1 (full agreement among models) was developed to quantify uncertainty among the projections. EAI values ranged from 0.634 (some areas of disagreement and therefore medium uncertainty among dispersal models) to 0.999 (large areas of agreement and low uncertainty among dispersal models). The results of this research highlight the importance of incorporating dispersal and also illustrate that the method with which dispersal is simulated greatly impacts the projected future distribution. This has important implications for studies aimed at predicting the effects of changing environmental conditions on species’ distributions.
DOI: 10.6084/m9.figshare.3120676.v4
title: De-identified DASS norms three groups (PVA50, SASR41, non-SASR38)

description: Data with mental health (depression, anxiety, and stress) scores for three samples. Female partners: (a) random sub-sample of partners of Australian combat veterans, (b) partners of Special Air Services Regiment (SASR) personnel, and (c) partners of current serving military (non-SASR) personnel.
DOI: 10.6084/m9.figshare.3120697.v5
title: De-identified DASS norms PAV282

description: Data comprised of female partners of Australian combat veterans (N=282). <br>Identifying information has been removed including the "number of deployments".
DOI: 10.6084/m9.figshare.3120625.v1
title: Incorporating movement in species distribution models: how do simulations of dispersal affect the accuracy and uncertainty of projections?

description: Species distribution models (SDMs) are one of the most important GIScience research areas in biogeography and are the primary means by which the potential effects of climate change on species’ distributions and ranges are investigated. Dispersal is an important ecological process for species responding to changing climates, however, SDMs and their subsequent spatial products rarely reflect accessibility to any future suitable environment. Dispersal-related movement can be confounded by factors that vary across landscapes and climates, as well as within and among species, and it has therefore remained difficult to parametrise in SDMs. Here we compared 20 models that have previously been used (or have the potential to be used) to represent dispersal processes in SDM to predict future range shifts in response to climate change. We assessed the different dispersal models in terms of their accuracy at predicting future distributions, as well as the uncertainty associated with their predictions. Atlas data for 50 bird species from 1988 to 1991 in Great Britain were treated as base distributions (t<sub>1</sub>), with the species–environment relationships extrapolated (using three commonly used statistical methods) to 2008–2011 (t<sub>2</sub>). Dispersal (in the form of the 20 different models) was simulated from the base distribution (t<sub>1</sub>) to 2008–2011 (t<sub>2</sub>). The results were then combined and used to identify locations that were both abiotically suitable (obtained from the statistical methods) and accessible (obtained from the dispersal models). The accuracy of these coupled projections was assessed with the 2008–2011 atlas data (the observed t<sub>2</sub> distribution). There was substantial variation in the accuracy of the different dispersal models, and in general, the more restrictive dispersal models (e.g. fixed rate dispersal) resulted in lower accuracy for the metrics which reward correct prediction of presences. Ensemble models of the dispersal methods (generated by combining multiple projection outcomes) were created for each species, and a new Ensemble Agreement Index (EAI), which ranges from 0 (no agreement among models) to 1 (full agreement among models) was developed to quantify uncertainty among the projections. EAI values ranged from 0.634 (some areas of disagreement and therefore medium uncertainty among dispersal models) to 0.999 (large areas of agreement and low uncertainty among dispersal models). The results of this research highlight the importance of incorporating dispersal and also illustrate that the method with which dispersal is simulated greatly impacts the projected future distribution. This has important implications for studies aimed at predicting the effects of changing environmental conditions on species’ distributions.
DOI: 10.6084/m9.figshare.3120676.v5
title: De-identified DASS norms three groups (POV50, SASR41, non-SASR38)

description: Data with mental health (depression, anxiety, and stress) scores for three samples. Female partners: (a) random sub-sample of partners of Australian combat veterans, (b) partners of Special Air Services Regiment (SASR) personnel, and (c) partners of current serving military (non-SASR) personnel.