cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25909/27246759.v2
title: Supporting data for "Software library to quantify the value of forecasts for decision-making: Case study on sensitivity to damages" by Laugesen et al. (2025)

description: Results data and figures for the journal paper.Dataset includes compressed Python Pickle files containing Dictionaries of NumPy arrays and metadata for each figure. This contains input and output data. Also includes image files for each figure are also included in PNG, SVG, and PDF.<br>Journal paper introduces RUVPY, a Python software library which implements the Relative Utility Value (RUV) method. This is available at https://github.com/richardlaugesen/ruvpy and can now be used by researchers and industry to quantify the value of forecast for decision making (pip install ruvpy).References<i>Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2025)</i><i>, Software Library to Quantify the Value of Forecasts for Decision-Making: Case Study on Sensitivity to Damages. Environmental Modelling and Software. </i><i>https://doi.org/10.1016/j.envsoft.2025.106697</i><i>Laugesen, R., Thyer, M., McInerney, D., & Kavetski, D. (2023). Flexible forecast value metric suitable for a wide range of decisions: application using probabilistic subseasonal streamflow forecasts. Hydrology and Earth System Sciences, 27(4), 873-893. </i><i>https://doi.org/10.5194/hess-27-873-2023</i><i>Laugesen, R. (2025). RUVPY software library to quantify the value of forecasts for decision-making using RUV (v1.0.0). Zenodo. </i><i>https://doi.org/10.5281/zenodo.15825583</i>
DOI: 10.25909/27273921
title: Red-tailed phascogale parentage analysis dataset (1000 SNP loci + life history file) and R script for analysis

description: We present a case of extended sperm storage in a female red-tailed phascogale (<i>Phascogale calura</i>) during a trial reintroduction in 2022. Parentage reported by single nucleotide polymorphism genotyping revealed the father of one litter had died approximately 50 days before the litter was born. The recorded gestation period for red-tailed phascogales is 28-32 days. Our record indicates sperm storage and/or diapause of up to 15-27 days, at least double the previously recorded sperm storage duration in this species.<br>Published in Australian Mammalogy, October 2024.<br><br>The data and script provided allow replication of the parentage results generated in the R package Sequoia and used in this publication.
DOI: 10.25909/27273921.v1
title: Red-tailed phascogale parentage analysis dataset (1000 SNP loci + life history file) and R script for analysis

description: We present a case of extended sperm storage in a female red-tailed phascogale (<i>Phascogale calura</i>) during a trial reintroduction in 2022. Parentage reported by single nucleotide polymorphism genotyping revealed the father of one litter had died approximately 50 days before the litter was born. The recorded gestation period for red-tailed phascogales is 28-32 days. Our record indicates sperm storage and/or diapause of up to 15-27 days, at least double the previously recorded sperm storage duration in this species.<br>Published in Australian Mammalogy, October 2024.<br><br>The data and script provided allow replication of the parentage results generated in the R package Sequoia and used in this publication.
DOI: 10.25909/27276171
title: Raw Data associated with Microrheology of the Cumulus-Oocyte Matrix using Optical Tweezer

description: data for all figures can be found in different tabs within the file: Raw Data associated with Microrheology of the Cumulus-Oocyte Matrix using Optical Tweezers
DOI: 10.25909/27276171.v4
title: Raw Data associated with Microrheology of the Cumulus-Oocyte Matrix using Optical Tweezer

description: data for all figures can be found in different tabs within the file: Raw Data associated with Microrheology of the Cumulus-Oocyte Matrix using Optical Tweezers
DOI: 10.25909/27299817
title: Raw Data associated with Figure 1b

description: Histogram of the bead’s position distribution in the optical trap
DOI: 10.25909/27299817.v1
title: Raw Data associated with Figure 1b

description: Histogram of the bead’s position distribution in the optical trap
DOI: 10.25909/27299829
title: Raw Data associated with Figure 1c

description: Auto-correlation of the particle position with fits to Eqn. 1 (dashed lines)
DOI: 10.25909/27299829.v1
title: Raw Data associated with Figure 1c

description: Auto-correlation of the particle position with fits to Eqn. 1 (dashed lines)
DOI: 10.25909/27312888
title: Combining eDNA and visual surveys improves detection of reef fishes across their biogeographic ranges

description: Dataset for detecting range shifting fish species using eDNA and visual survey techniques
DOI: 10.25909/27312888.v1
title: Combining eDNA and visual surveys improves detection of reef fishes across their biogeographic ranges

description: Dataset for detecting range shifting fish species using eDNA and visual survey techniques
DOI: 10.25909/27347496
title: Results

description: This repository contain results for "Optimal Planning of Renewable-Based Mining Microgrids: A Comparative Study of Multi-Objective Evolutionary Algorithms". The main directory including the code is on Github. <br><br>
DOI: 10.25909/27347496.v1
title: Results

description: This repository contain results for "Optimal Planning of Renewable-Based Mining Microgrids: A Comparative Study of Multi-Objective Evolutionary Algorithms". The main directory including the code is on Github. <br><br>
DOI: 10.25909/27366339
title: Untitled Item

description: Data pertaining to the manuscript "Structural evolution of the estrogen receptor regulatory domain" by McDougal et al. (2024).
DOI: 10.25909/27366339.v1
title: Untitled Item

description: Data pertaining to the manuscript "Structural evolution of the estrogen receptor regulatory domain" by McDougal et al. (2024).
DOI: 10.25909/27441327
title: Monazite Lu–Hf and U–Pb data – A comparison between in situ monazite Lu–Hf and U–Pb geochronology

description: Supplementary data for "A comparison between in situ monazite Lu–Hf and U–Pb geochronology"
DOI: 10.25909/27441327.v4
title: Monazite Lu–Hf and U–Pb data – A comparison between in situ monazite Lu–Hf and U–Pb geochronology

description: Supplementary data for "A comparison between in situ monazite Lu–Hf and U–Pb geochronology"
DOI: 10.25909/27610329
title: Characterising the Complete Thermodynamic State of a Gas using a Frequency Comb Spectrometer - Data for Figures 2 - 11

description: This data set contains data for Figures 2 - 11 of the paper "Characterising the Complete Thermodynamic State of a Gas using a Frequency Comb Spectrometer"
DOI: 10.25909/27610329.v1
title: Characterising the Complete Thermodynamic State of a Gas using a Frequency Comb Spectrometer - Data for Figures 2 - 11

description: This data set contains data for Figures 2 - 11 of the paper "Characterising the Complete Thermodynamic State of a Gas using a Frequency Comb Spectrometer"
DOI: 10.25909/27684555
title: Chapter 1

description: Supplementary Material:
DOI: 10.25909/27684555.v2
title: Chapter 1

description: Supplementary Material:
DOI: 10.25909/27745704
title: Supplementary Material Chapter 3:

description: Supplementary material Chapter 3:
DOI: 10.25909/27745704.v2
title: Supplementary Material Chapter 3:

description: Supplementary material Chapter 3:
DOI: 10.25909/27746340
title: Chapter 4

description: supplementary material
DOI: 10.25909/27746340.v2
title: Chapter 4

description: supplementary material
DOI: 10.25909/27751752
title: Chapter 5:

description: Table S.5.1: Mineral abundance of Samples 14, 15, 16, 18, 20, and 23 analysed by SEM-EDSTable S.5.4: Rb and Sr ratios of Samples 14, 15, 16, 18, 20, and 23 analysed by LA-ICP-MS/MSTable S.5.2: Rb and Sr ratios of RM MDC analysed by LA-ICP-MS/MSTable S.5.3: Rb and Sr ratios of RM Entire Creek biotite, GL-O, Robins Folly muscovite, Mica-MG analysed by LA-ICP-MS/MSTable S.5.6: Calculated evolution of 3He/4He Ra
DOI: 10.25909/27751752.v2
title: Chapter 5:

description: Table S.5.1: Mineral abundance of Samples 14, 15, 16, 18, 20, and 23 analysed by SEM-EDSTable S.5.4: Rb and Sr ratios of Samples 14, 15, 16, 18, 20, and 23 analysed by LA-ICP-MS/MSTable S.5.2: Rb and Sr ratios of RM MDC analysed by LA-ICP-MS/MSTable S.5.3: Rb and Sr ratios of RM Entire Creek biotite, GL-O, Robins Folly muscovite, Mica-MG analysed by LA-ICP-MS/MSTable S.5.6: Calculated evolution of 3He/4He Ra
DOI: 10.25909/27850167
title: Scaling laws for concentration-gradient-driven electrolyte transport through a 2D membrane

description: The files in this repository are associated with the following paper: H.C.M. Baldock, D.M. Huang, <i>Phys. Fluids</i><i> </i>37, 022032 (2025), https://doi.org/10.1063/5.0251773All files are .txt files containing the fluxes calculated inside of the pore (along z=0) from Finite-Element method calculations of concentration-gradient-driven flow and electric-field-driven flow in Comsol 4.3a. Columns with "Velocity field, z component (m^3/s)" and "Electric current (A)" indicate the solution flux (in m³/s) and the negative electric current (in A), respectively. The first instances of "Total flux, z component (mol/s)", "Diffusive flux, z component (mol/s)", "Convective flux, z component (mol/s)" and "Electrophretic flux, z component (mol/s)" are the ion flux, the diffusive ion flux, the convective ion flux and electrophoretic ion flux of the positively-charged ion (all in mol/s), respectively, while their second instances are those of the negatively-charged ion.Fluxes obtained from simulations of concentration-gradient-driven flow and electric-field-driven flow are indicated in the file name by "-dc-" and "-dV-" respectively. The concentration difference (in mmol/L) or the potential difference (in V) is given in the second column. "a[X]" indicates a fixed pore radius of [X] nm, "c[X]" indicates a fixed average ion concentration (cL/2 + cH/2) of [X] mmol/L and "sig[X]" indicates a fixed surface charge density of –[X] mC/m² over the parameter sweep. The pore radius and surface charge density is changed over the parameter sweep for files with names containing "-a-" and "-sig-", respectively, while all other parameters are fixed. The pore radius (in m) and the surface charge density (in C/m²) is given in the second column.All simulations were of electrolyte flow in a 2D membrane using the diffusivity constants and ion valences of potassium chloride (KCl) and the viscosity and dielectric constant of water (H20) at an ambient temperature. The length of pore (L) was set to 0.2 nm in all simulations ("L0.2"). All file names contain "-mesh9-res4-P2+P1-c3-V2", which corresponds to the mesh configurations, reservoir sizes and discretizations of the Stokes equations, ion concentrations and electric potential as described in the section "Finite-Element Method simulations" in the Supplementary Material of "Scaling laws for concentration-gradient-driven electrolyte transport through a 2D membrane".
DOI: 10.25909/27850167.v1
title: Scaling laws for concentration-gradient-driven electrolyte transport through a 2D membrane

description: The files in this repository are associated with the following paper: H.C.M. Baldock, D.M. Huang, <i>Phys. Fluids</i><i> </i>37, 022032 (2025), https://doi.org/10.1063/5.0251773All files are .txt files containing the fluxes calculated inside of the pore (along z=0) from Finite-Element method calculations of concentration-gradient-driven flow and electric-field-driven flow in Comsol 4.3a. Columns with "Velocity field, z component (m^3/s)" and "Electric current (A)" indicate the solution flux (in m³/s) and the negative electric current (in A), respectively. The first instances of "Total flux, z component (mol/s)", "Diffusive flux, z component (mol/s)", "Convective flux, z component (mol/s)" and "Electrophretic flux, z component (mol/s)" are the ion flux, the diffusive ion flux, the convective ion flux and electrophoretic ion flux of the positively-charged ion (all in mol/s), respectively, while their second instances are those of the negatively-charged ion.Fluxes obtained from simulations of concentration-gradient-driven flow and electric-field-driven flow are indicated in the file name by "-dc-" and "-dV-" respectively. The concentration difference (in mmol/L) or the potential difference (in V) is given in the second column. "a[X]" indicates a fixed pore radius of [X] nm, "c[X]" indicates a fixed average ion concentration (cL/2 + cH/2) of [X] mmol/L and "sig[X]" indicates a fixed surface charge density of –[X] mC/m² over the parameter sweep. The pore radius and surface charge density is changed over the parameter sweep for files with names containing "-a-" and "-sig-", respectively, while all other parameters are fixed. The pore radius (in m) and the surface charge density (in C/m²) is given in the second column.All simulations were of electrolyte flow in a 2D membrane using the diffusivity constants and ion valences of potassium chloride (KCl) and the viscosity and dielectric constant of water (H20) at an ambient temperature. The length of pore (L) was set to 0.2 nm in all simulations ("L0.2"). All file names contain "-mesh9-res4-P2+P1-c3-V2", which corresponds to the mesh configurations, reservoir sizes and discretizations of the Stokes equations, ion concentrations and electric potential as described in the section "Finite-Element Method simulations" in the Supplementary Material of "Scaling laws for concentration-gradient-driven electrolyte transport through a 2D membrane".
DOI: 10.25909/27922983
title: Human neck stiffness and range of motion - methods and repeatability resource materials: moment-angle data

description: This dataset contains moment-angle data collected from three male (Male1-3) and three female (Female1-3) participants during passive-lying tests.Each tab in the spreadsheet represents the moment-angle data from a single trial, named using the format ‘[session number]_[motion][trial number]’, where:Session number: S1 (Session 1), S2 (Session 2).Motion:F: FlexionE: ExtensionL: Left lateral bendingR: Right lateral bendingRL: Left axial rotationRR: Right axial rotationTrial number: 1–5, corresponding to trials 1 through 5.In each spreadsheet, the first column (angle) represents the head-torso rotational angle in the tested direction, measured in degrees. The second column (moment) contains the applied moment on the participant’s neck, in units of Nm/degree.The manuscript provides comprehensive details on the testing protocol, data collection procedures, and post-processing methods. Participant anthropometric data are included in the <i>ParticipantInformation.xlsx</i> file. Participant identifications are color-coded consistently with the published manuscript:Liu M, Quarrington RD, Sandoz B, Robertson WSP, Jones CF. Evaluation of Apparatus and Protocols to Measure Human Passive Neck Stiffness and Range of Motion. Ann Biomed Eng. 2024 Aug;52(8):2178–2192. doi: 10.1007/s10439-024-03517-w. Epub 2024 Apr 24. PMID: 38658477; PMCID: PMC11247060.<br>
DOI: 10.25909/27922983.v1
title: Human neck stiffness and range of motion - methods and repeatability resource materials: moment-angle data

description: This dataset contains moment-angle data collected from three male (Male1-3) and three female (Female1-3) participants during passive-lying tests.Each tab in the spreadsheet represents the moment-angle data from a single trial, named using the format ‘[session number]_[motion][trial number]’, where:Session number: S1 (Session 1), S2 (Session 2).Motion:F: FlexionE: ExtensionL: Left lateral bendingR: Right lateral bendingRL: Left axial rotationRR: Right axial rotationTrial number: 1–5, corresponding to trials 1 through 5.In each spreadsheet, the first column (angle) represents the head-torso rotational angle in the tested direction, measured in degrees. The second column (moment) contains the applied moment on the participant’s neck, in units of Nm/degree.The manuscript provides comprehensive details on the testing protocol, data collection procedures, and post-processing methods. Participant anthropometric data are included in the <i>ParticipantInformation.xlsx</i> file. Participant identifications are color-coded consistently with the published manuscript:Liu M, Quarrington RD, Sandoz B, Robertson WSP, Jones CF. Evaluation of Apparatus and Protocols to Measure Human Passive Neck Stiffness and Range of Motion. Ann Biomed Eng. 2024 Aug;52(8):2178–2192. doi: 10.1007/s10439-024-03517-w. Epub 2024 Apr 24. PMID: 38658477; PMCID: PMC11247060.<br>
DOI: 10.25909/27932961
title: Revised STATA do-file and dataset

description: Revised STATA do-file and dataset prepared for journal article resubmission.
DOI: 10.25909/27932961.v1
title: Revised STATA do-file and dataset

description: Revised STATA do-file and dataset prepared for journal article resubmission.
DOI: 10.25909/27938997
title: Replication materials for sun safety project

description: Underlying R script and deidentified data
DOI: 10.25909/27938997.v1
title: Replication materials for sun safety project

description: Underlying R script and deidentified data
DOI: 10.25909/28077014
title: <b>Apatite in situ Lu-Hf and U-Pb geochronology in layered mafic intrusions- Supplementary material</b>

description: Apatite in situ Lu-Hf and U-Pb geochronology in layered mafic intrusions from four major LMI localities: the Fe-Ti Boulder Lake North deposit (Duluth Complex, USA), the Upper Zone (Bushveld Complex, South Africa), the Nebo-Babel Intrusion (Giles Complex, Musgrave Province, Australia), and the Proterozoic anorthosite massifs of the Grader Intrusion and Lac Perron deposit (Grenville Province, Canada).
DOI: 10.25909/28077014.v1
title: <b>Apatite in situ Lu-Hf and U-Pb geochronology in layered mafic intrusions- Supplementary material</b>

description: Apatite in situ Lu-Hf and U-Pb geochronology in layered mafic intrusions from four major LMI localities: the Fe-Ti Boulder Lake North deposit (Duluth Complex, USA), the Upper Zone (Bushveld Complex, South Africa), the Nebo-Babel Intrusion (Giles Complex, Musgrave Province, Australia), and the Proterozoic anorthosite massifs of the Grader Intrusion and Lac Perron deposit (Grenville Province, Canada).
DOI: 10.25909/28191722
title: X-ray Velocimetry and CT images of healthy sheep undergoing endobronchial valve placement and removal

description: Dataset in support of the paper: Smith, R., Thomas, C., Nguyen, P., Badiei, A., Eikelis, N., Nilsen, K., Pirakalathanan, P., Parsons, D., & Donnelley, M. (2025). Visualising ventilation changes following endobronchial valve placement with x-ray velocimetry functional lung imaging<i>. Physics in Medicine & Biology</i>. <b>DOI</b> 10.1088/1361-6560/ade196The sheep identified as MD02 in this dataset is 'sheep A' in the paper, and MD03 is called 'sheep B'.Paper Abstract:<i>Objective: Endobronchial Valves are a minimally invasive treatment for emphysema. After bronchoscopic placement the valves reduce the flow of air into targeted areas of the lung, causing collapse, and allowing the remainder of the lung to function more effectively. This pilot study aims to demonstrate the capability and potential of a new imaging modality - X-ray Velocimetry - for detecting these changes to lung function.</i><i>Approach: X-ray Velocimetry is a novel method that uses X-ray images taken during a breath to track lung motion, producing 3D maps of local ventilation. Healthy sheep received a CT scan and underwent X-ray Velocimetry imaging before and after endobronchial valves were placed in the lung. Sheep were imaged again when the endobronchial valves were removed after 14 days.</i><i>Main results: X-ray Velocimetry enabled visualisation and quantification of a reduction of airflow to the areas downstream of the endobronchial valves, both in areas where collapse was and was not visible in CT. Changes to ventilation were also clearly visible in the remainder of the lungs.</i><i>Significance: This preclinical study has shown X-ray Velocimetry is capable of detecting changes to ventilation caused by endobronchial valve placement, paving the way towards use in patients.</i>
DOI: 10.25909/28191722.v1
title: X-ray Velocimetry and CT images of healthy sheep undergoing endobronchial valve placement and removal

description: Dataset in support of the paper: Smith, R., Thomas, C., Nguyen, P., Badiei, A., Eikelis, N., Nilsen, K., Pirakalathanan, P., Parsons, D., & Donnelley, M. (2025). Visualising ventilation changes following endobronchial valve placement with x-ray velocimetry functional lung imaging<i>. Physics in Medicine & Biology</i>. <b>DOI</b> 10.1088/1361-6560/ade196The sheep identified as MD02 in this dataset is 'sheep A' in the paper, and MD03 is called 'sheep B'.Paper Abstract:<i>Objective: Endobronchial Valves are a minimally invasive treatment for emphysema. After bronchoscopic placement the valves reduce the flow of air into targeted areas of the lung, causing collapse, and allowing the remainder of the lung to function more effectively. This pilot study aims to demonstrate the capability and potential of a new imaging modality - X-ray Velocimetry - for detecting these changes to lung function.</i><i>Approach: X-ray Velocimetry is a novel method that uses X-ray images taken during a breath to track lung motion, producing 3D maps of local ventilation. Healthy sheep received a CT scan and underwent X-ray Velocimetry imaging before and after endobronchial valves were placed in the lung. Sheep were imaged again when the endobronchial valves were removed after 14 days.</i><i>Main results: X-ray Velocimetry enabled visualisation and quantification of a reduction of airflow to the areas downstream of the endobronchial valves, both in areas where collapse was and was not visible in CT. Changes to ventilation were also clearly visible in the remainder of the lungs.</i><i>Significance: This preclinical study has shown X-ray Velocimetry is capable of detecting changes to ventilation caused by endobronchial valve placement, paving the way towards use in patients.</i>
DOI: 10.25909/28192334
title: X-ray Velocimetry and Flexivent data for a cohort of mice with Mucopolysaccharidosis type I (MPS I) disease

description: X-ray Velocimetry and Flexivent data for a cohort of mice with Mucopolysaccharidosis type I (MPS I) disease, accompanying the paper
DOI: 10.25909/28192334.v1
title: X-ray Velocimetry and Flexivent data for a cohort of mice with Mucopolysaccharidosis type I (MPS I) disease

description: X-ray Velocimetry and Flexivent data for a cohort of mice with Mucopolysaccharidosis type I (MPS I) disease, accompanying the paper
DOI: 10.25909/28260041
title: Resilient Youth: State of the Nation Report 2024

description: This report provides a summary of mental, emotional, social and physical health amongst Australian school students in 2024. Data was collected using the Resilience Survey (Resilient Youth Australia Pty Ltd) in over eight hundred schools and 149,114 students across all states and territories. The Resilience Survey is a student voice instrument, meaning that data is collected directly from students in a manner that ensures their privacy and confidentiality. The survey is anonymous and non-identified, and responses are only reported in the aggregate. In this way, the Resilience Survey aims to elicit honest answers from students, empowering them to share responsibility for developing and enhancing their own resilience, mental health, and wellbeing.
DOI: 10.25909/28260041.v1
title: Resilient Youth: State of the Nation Report 2024

description: This report provides a summary of mental, emotional, social and physical health amongst Australian school students in 2024. Data was collected using the Resilience Survey (Resilient Youth Australia Pty Ltd) in over eight hundred schools and 149,114 students across all states and territories. The Resilience Survey is a student voice instrument, meaning that data is collected directly from students in a manner that ensures their privacy and confidentiality. The survey is anonymous and non-identified, and responses are only reported in the aggregate. In this way, the Resilience Survey aims to elicit honest answers from students, empowering them to share responsibility for developing and enhancing their own resilience, mental health, and wellbeing.