cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25909/25814851
title: X-ray Velocimetry and Flexivent data for a cohort of the Beta-ENaC-TG mouse model of Cystic Fibrosis

description: β-ENaC-Tg mice have previously been shown to exhibit muco-obstructive disease and emphysema. This study analysed lung function in β-ENaC-Tg mice using XV functional imaging and flexiVent assessments. This dataset accompanies the paper titled 'Functional lung imaging identifies peripheral ventilation changes in Beta-ENaC Mice
DOI: 10.25909/25814851.v1
title: X-ray Velocimetry and Flexivent data for a cohort of the Beta-ENaC-TG mouse model of Cystic Fibrosis

description: β-ENaC-Tg mice have previously been shown to exhibit muco-obstructive disease and emphysema. This study analysed lung function in β-ENaC-Tg mice using XV functional imaging and flexiVent assessments. This dataset accompanies the paper titled 'Functional lung imaging identifies peripheral ventilation changes in Beta-ENaC Mice
DOI: 10.25909/25815979
title: LItNumGPA_Upload.xlsx

description: Raw data for a study into the relationship between student GPA, literacy skills, and numeracy skills. Students are from a third-year university course focusing on statistics applied to biological sciences. Also includes raw data related to the average H-index, citation rate, and publication rate of university researchers across three broad fields (biological theory, biological statistics, and science communications).
DOI: 10.25909/25815979.v1
title: LItNumGPA_Upload.xlsx

description: Raw data for a study into the relationship between student GPA, literacy skills, and numeracy skills. Students are from a third-year university course focusing on statistics applied to biological sciences. Also includes raw data related to the average H-index, citation rate, and publication rate of university researchers across three broad fields (biological theory, biological statistics, and science communications).
DOI: 10.25909/25844167
title: Quantitative real-time PCR analysis for the thermal responses of genes from the circadian clock, heat-shock and GABA-shunt pathways in wheat

description: Biological processes that control a plant’s response to temperature have been investigated in model species, and we aim to use knowledge gained from this work to analyse thermal responsive pathways in wheat. Three of the identified thermal responsive processes include chromatin-dependent regulation of transcription, aggregation of proteins with roles in the circadian clock, and accumulation of the non-proteinogenic amino acid, GABA (γ-Aminobutyric acid).We will identify transcript- and metabolite-based biomarkers for each of these processes to screen germplasm that is predicted to be tolerant to growth under warmer conditions. Germplasm identified to show thermal insensitivity will be screened for physiological and yield-related traits under high ambient temperatures in glasshouse and field-based trials, which will help determine if the biomarkers can be used as tools to identify genotypes that will perform well in a warmer climate. Together, the outputs will provide breeding tools to predict germplasm that is more tolerant to growth under high ambient temperatures, and a list of germplasm that shows resilience to heat.
DOI: 10.25909/25844167.v1
title: Data from qRT-PCR assays to test primers of the circadian clock, heat-shock and GABA-shunt pathways in wheat, including the responsiveness to growth at different temperatures (17ºC, 22ºC, 27ºC). Also included is the raw data from analysis of GABA levels in wheat plants grown at the three temperatures.

description: Biological processes that control a plant’s response to temperature have been investigated in model species, and we aim to use knowledge gained from this work to analyse thermal responsive pathways in wheat. Three of the identified thermal responsive processes include chromatin-dependent regulation of transcription, aggregation of proteins with roles in the circadian clock, and accumulation of the non-proteinogenic amino acid, GABA (γ-Aminobutyric acid).We will identify transcript- and metabolite-based biomarkers for each of these processes to screen germplasm that is predicted to be tolerant to growth under warmer conditions. Germplasm identified to show thermal insensitivity will be screened for physiological and yield-related traits under high ambient temperatures in glasshouse and field-based trials, which will help determine if the biomarkers can be used as tools to identify genotypes that will perform well in a warmer climate. Together, the outputs will provide breeding tools to predict germplasm that is more tolerant to growth under high ambient temperatures, and a list of germplasm that shows resilience to heat.
DOI: 10.25909/25895407
title: Primate_Var_List_2025.xlsx

description: A list of primates which details select social, environmental, morphological and biological variables. This list represents approximately 8% of total extant primates, containing both popularly studied and largely understudied primates.
DOI: 10.25909/25895407.v3
title: Primate_Var_List_2025.xlsx

description: A list of primates which details select social, environmental, morphological and biological variables. This list represents approximately 8% of total extant primates, containing both popularly studied and largely understudied primates.
DOI: 10.25909/25981378
title: Datasets - Coral responses to 2016 marine heatwave - Final

description: Datasets are described in the MS entitled "Coral species responses to a catastrophic marine heatwave are decoupled from changes in total coral cover"
DOI: 10.25909/25981378.v1
title: Datasets - Coral responses to 2016 marine heatwave - Final

description: Datasets are described in the MS entitled "Coral species responses to a catastrophic marine heatwave are decoupled from changes in total coral cover"
DOI: 10.25909/26047546
title: Data for: Multiple paths to a larger mouth: morphological divergence in two island populations of Australian tiger snakes (<i>Notechis scutatus</i>)

description: Dataset of 3D landmark coordinate data (50 landmarks) placed on crania of 41 Australian tiger snakes (<i>Notechis scutatus</i>). Landmark data (<b>Data.csv</b>) were collected using Checkpoint (Stratovan) on microCT scans (scan data available from Morphosource https://www.morphosource.org/projects/00000C744). Script for R Statistical Environment (<b>Palci et al script.R</b>) is for all statistical analyses and visualisations performed in the paper, calling the Landmark data (<b>Data.csv</b>) and index for symmetry (<b>Pairs.csv</b>) from the working directory containing the R script. Preliminary data and analyses of measurement error are provided in the <b>Error test.zip</b> folder.<br>
DOI: 10.25909/26047546.v1
title: Data for: Multiple paths to a larger mouth: morphological divergence in two island populations of Australian tiger snakes (<i>Notechis scutatus</i>)

description: Dataset of 3D landmark coordinate data (50 landmarks) placed on crania of 41 Australian tiger snakes (<i>Notechis scutatus</i>). Landmark data (<b>Data.csv</b>) were collected using Checkpoint (Stratovan) on microCT scans (scan data available from Morphosource https://www.morphosource.org/projects/00000C744). Script for R Statistical Environment (<b>Palci et al script.R</b>) is for all statistical analyses and visualisations performed in the paper, calling the Landmark data (<b>Data.csv</b>) and index for symmetry (<b>Pairs.csv</b>) from the working directory containing the R script. Preliminary data and analyses of measurement error are provided in the <b>Error test.zip</b> folder.<br>
DOI: 10.25909/26123209
title: Data for 'Higher temperatures improve visual sensitivity and broadens tuning to faster velocities in dragonfly target-detecting neurons'

description: Data for the 'Higher temperatures improve visual sensitivity and broadens tuning to faster velocities in dragonfly target-detecting neurons' paper
DOI: 10.25909/26123209.v2
title: Data for 'Higher temperatures improve visual sensitivity and broadens tuning to faster velocities in dragonfly target-detecting neurons'

description: Data for the 'Higher temperatures improve visual sensitivity and broadens tuning to faster velocities in dragonfly target-detecting neurons' paper
DOI: 10.25909/26184566
title: Kuramoto-Sivashinsky PDE Lyapunov Exponents: Code & Data

description: MATLAB code and the generated datasets for the Lyapunov exponent spectra of the Kuramoto-Sivashinsky PDE, as published in the paper <i>'Lyapunov Exponents of the Kuramoto-Sivashinsky PDE'</i> in 2019. The files are organised as follows:<b>Code</b><b>code/lyapunovexpts.m</b> contains a MATLAB function implementation of <i>Algorithm 1</i> from the paper, which is the classic algorithm for finding Lyapunov exponents introduced by Benettin et al. (1980) and Shimada and Nagashima (1979).<b>code/dudt_ksperiodic_spectral.m</b> contains a vectorised ODE-discretisation of the Kuramoto-Sivashinsky PDE on a periodic domain using a spectral scheme, which can be used with the standard MATLAB ODE solvers to simulate the dynamics.<b>code/dudt_ksoddperiodic_finitediff.m</b> contains a similar vectorised ODE-discretisation of the Kuramoto-Sivashinsky PDE, but for the "odd-periodic" domain (u = u<sub>xx</sub> = 0 on x=0,L) and using a finite-difference scheme with error O(dx<sup>2</sup>).<b>code/research_kslyaps{.m,.sh}</b> contain the code that ran the computational experiments (using the above Lyapunov exponents code and the Kuramoto-Sivashinsky ODE-discretisations) to generate the Lyapunov spectra data using MATLAB 2016a on the School of Mathematical Sciences' maths1 Linux server in 2017.<b>Data</b><b>lyapexpts_ksperiodic.zip</b> contains the Lyapunov spectra computed for the Kuramoto-Sivashinsky PDE on the periodic domain. Each file has a filename of the form <b>LXYZpW.txt</b>, and contains the 24 most positive Lyapunov exponents computed on the periodic domain [0, L] where L = XYZ.W. (E.g., L097p4.txt contains the exponents for L=97.4.)<b>lyapexpts_ksoddperiodic.zip</b> contains the Lyapunov spectra computed for the Kuramoto-Sivashinsky PDE on the "odd-periodic" domain. Each file has a filename of the form <b>LXYZpW.txt</b>, and contains the 24 most positive Lyapunov exponents computed on the odd-periodic domain [0, L] where L=XYZ.W.
DOI: 10.25909/26184566.v1
title: Kuramoto-Sivashinsky PDE Lyapunov Exponents: Code & Data

description: MATLAB code and the generated datasets for the Lyapunov exponent spectra of the Kuramoto-Sivashinsky PDE, as published in the paper <i>'Lyapunov Exponents of the Kuramoto-Sivashinsky PDE'</i> in 2019. The files are organised as follows:<b>Code</b><b>code/lyapunovexpts.m</b> contains a MATLAB function implementation of <i>Algorithm 1</i> from the paper, which is the classic algorithm for finding Lyapunov exponents introduced by Benettin et al. (1980) and Shimada and Nagashima (1979).<b>code/dudt_ksperiodic_spectral.m</b> contains a vectorised ODE-discretisation of the Kuramoto-Sivashinsky PDE on a periodic domain using a spectral scheme, which can be used with the standard MATLAB ODE solvers to simulate the dynamics.<b>code/dudt_ksoddperiodic_finitediff.m</b> contains a similar vectorised ODE-discretisation of the Kuramoto-Sivashinsky PDE, but for the "odd-periodic" domain (u = u<sub>xx</sub> = 0 on x=0,L) and using a finite-difference scheme with error O(dx<sup>2</sup>).<b>code/research_kslyaps{.m,.sh}</b> contain the code that ran the computational experiments (using the above Lyapunov exponents code and the Kuramoto-Sivashinsky ODE-discretisations) to generate the Lyapunov spectra data using MATLAB 2016a on the School of Mathematical Sciences' maths1 Linux server in 2017.<b>Data</b><b>lyapexpts_ksperiodic.zip</b> contains the Lyapunov spectra computed for the Kuramoto-Sivashinsky PDE on the periodic domain. Each file has a filename of the form <b>LXYZpW.txt</b>, and contains the 24 most positive Lyapunov exponents computed on the periodic domain [0, L] where L = XYZ.W. (E.g., L097p4.txt contains the exponents for L=97.4.)<b>lyapexpts_ksoddperiodic.zip</b> contains the Lyapunov spectra computed for the Kuramoto-Sivashinsky PDE on the "odd-periodic" domain. Each file has a filename of the form <b>LXYZpW.txt</b>, and contains the 24 most positive Lyapunov exponents computed on the odd-periodic domain [0, L] where L=XYZ.W.
DOI: 10.25909/26199968
title: Khazali et al - Datasets for Figs 7, 8, 10

description: This collection includes data from Khazali et al -   An averaged model for colloidal transport to exhibit hyper-exponential particle retention.The data includes experimental data and model tuning results for several coreflooding results where either pressure drop or outlet concentration and retention profiles were measured. Data is included from Figs. 7, 8, and 10.
DOI: 10.25909/26199968.v1
title: Khazali et al - Datasets for Figs 7, 8, 10

description: This collection includes data from Khazali et al -   An averaged model for colloidal transport to exhibit hyper-exponential particle retention.The data includes experimental data and model tuning results for several coreflooding results where either pressure drop or outlet concentration and retention profiles were measured. Data is included from Figs. 7, 8, and 10.
DOI: 10.25909/26315767
title: Raw data

description: The effects of two-week supplementation with the non-nutritive sweeteners sucralose and acesulfame-K on mechanisms of glycaemic control in C57Bl/6 mice with or without broad-spectrum antibiotic depletion of gut microbiota.
DOI: 10.25909/26315767.v1
title: Raw data

description: The effects of two-week supplementation with the non-nutritive sweeteners sucralose and acesulfame-K on mechanisms of glycaemic control in C57Bl/6 mice with or without broad-spectrum antibiotic depletion of gut microbiota.
DOI: 10.25909/26369290
title: Data for "Responses of diatoms and aquatic macroinvertebrates to deposited fine sediment using mesocosm channels as a basis for a new water quality guideline"Submitted to Science of the Total Environment

description: Raw macroinvertebrate and diatom counts, arranged per treatment channel in the above study
DOI: 10.25909/26369290.v1
title: Data for "Responses of diatoms and aquatic macroinvertebrates to deposited fine sediment using mesocosm channels as a basis for a new water quality guideline"Submitted to Science of the Total Environment

description: Raw macroinvertebrate and diatom counts, arranged per treatment channel in the above study
DOI: 10.25909/26778298
title: Raw and derived data: The quantification of downhole fractionation for laser ablation mass spectrometry

description: Two zip files containing data used in the publication "The quantification of downhole fractionation for laser ablation mass spectrometry".The zip file "RawData" contains the original data outputs (CSV files) from the Agilent mass spectometers. These are analyses of existing or potential reference materials for use in laser ablation geochronology.The zip file "DerivedData" contains two CSV files generated by the accompanying Julia code that processes data in preparation for fitting orthogonal polynomials that quantify the dowhnhole fractionation of these analyses and generates the figures for the publication.See also:GeochemistryTools.jl - Julia package for geochemical analysis including the base algorithm for computing the orthogonal polynomial models.Julia scriptsSupplementary analyte signal figures<br>
DOI: 10.25909/26778298.v2
title: Raw and derived data: The quantification of downhole fractionation for laser ablation mass spectrometry

description: Two zip files containing data used in the publication "The quantification of downhole fractionation for laser ablation mass spectrometry".The zip file "RawData" contains the original data outputs (CSV files) from the Agilent mass spectometers. These are analyses of existing or potential reference materials for use in laser ablation geochronology.The zip file "DerivedData" contains two CSV files generated by the accompanying Julia code that processes data in preparation for fitting orthogonal polynomials that quantify the dowhnhole fractionation of these analyses and generates the figures for the publication.See also:GeochemistryTools.jl - Julia package for geochemical analysis including the base algorithm for computing the orthogonal polynomial models.Julia scriptsSupplementary analyte signal figures<br>
DOI: 10.25909/26828584
title: Images of Arabidopsis and lettuce seedings grown in mircogravity conditions using the RPM Mini-phytotron experimental setup.

description: In order to study altered root growth to microgravity environments, we adopted the use of commercially available desktop Random Positioning Machine (RPM) (version 2.0 Airbus Defense and Space, the Netherlands B.V., Leiden, the Netherlands). The dataset includes the scanned images of the Arabidopsis and lettuce seedlings grown on the RPM fitted the mini-phytotron. Please see Readme excel file for description of imagesMini-phytotron descriptionThe mini-phytotron was developed to be mounted on the RPM platform and included a uni-diectional LED white light source for the plants growing inside. The entire apparatus could then be run in darkness (using black opaque cloth) to eliminate influence of external ambient light. The mini-phytotron has five slots to allow simultaneous growth of up to 60 seedlings in square petri dishes that contain solid agar media. The plates are placed in a vertical orientation within the growing chamber to allow the roots to grow along the surface without pentetrating the agar medium. This allows the study of root growth response to microgravity conditions. In parallel, an identical mini-phytotoron containing the same number of seedings was set up as 1 <i>g</i> control condition alongside RPM.Roots were measured manually using ImageJ software (https://imagej.net/software/fiji/downloads) to calculate root lengths and HGI, VGI and root straightness displacements.The raw 3D printing files (.stl) for the mini-phytotron and the design of LED strip circuitry (.dxf) are included in this dataset.<br>
DOI: 10.25909/26828584.v1
title: Images of Arabidopsis and lettuce seedings grown in mircogravity conditions using the RPM Mini-phytotron experimental setup.

description: In order to study altered root growth to microgravity environments, we adopted the use of commercially available desktop Random Positioning Machine (RPM) (version 2.0 Airbus Defense and Space, the Netherlands B.V., Leiden, the Netherlands). The dataset includes the scanned images of the Arabidopsis and lettuce seedlings grown on the RPM fitted the mini-phytotron. Please see Readme excel file for description of imagesMini-phytotron descriptionThe mini-phytotron was developed to be mounted on the RPM platform and included a uni-diectional LED white light source for the plants growing inside. The entire apparatus could then be run in darkness (using black opaque cloth) to eliminate influence of external ambient light. The mini-phytotron has five slots to allow simultaneous growth of up to 60 seedlings in square petri dishes that contain solid agar media. The plates are placed in a vertical orientation within the growing chamber to allow the roots to grow along the surface without pentetrating the agar medium. This allows the study of root growth response to microgravity conditions. In parallel, an identical mini-phytotoron containing the same number of seedings was set up as 1 <i>g</i> control condition alongside RPM.Roots were measured manually using ImageJ software (https://imagej.net/software/fiji/downloads) to calculate root lengths and HGI, VGI and root straightness displacements.The raw 3D printing files (.stl) for the mini-phytotron and the design of LED strip circuitry (.dxf) are included in this dataset.<br>
DOI: 10.25909/27048391
title: Dataset: Optimal Control Simulations Tracking Wearable Sensors Provides Comparable Running Gait Kinematics to Marker-Based Motion Capture

description: The objective of this study was to compare two IMU-based modeling approaches with optical marker-based motion capture in reconstructing running gait joint kinematics. The first was a conventional approach using inverse kinematics while the second was a novel method leveraging optimal control simulations.Six subjects performed treadmill running at three speeds whilst marker trajectories and IMU signals were collected concurrently. A subject-specific biomechanical model consisted of a 3D representation of the lower body and torso was used, incorporating contact spheres to simulate ground contact in in the optimal control simulations. The primary objective of the optimal control simulations was tracking accelerations, angular velocities, and orientations of 8 sensors with the simulated signals from the model sensors. Additional constraints, reflecting physiological and biomechanical principles and acheiving dynamic consistency were enforced. The objective of the IMU-based inverse kinematics was to minimize the difference between input and simulated sensor orientations. The joint kinematics derived from both methods were evaluated against optical marker-based motion capture across a range of running speeds.
DOI: 10.25909/27048391.v1
title: Dataset: Optimal Control Simulations Tracking Wearable Sensors Provides Comparable Running Gait Kinematics to Marker-Based Motion Capture

description: The objective of this study was to compare two IMU-based modeling approaches with optical marker-based motion capture in reconstructing running gait joint kinematics. The first was a conventional approach using inverse kinematics while the second was a novel method leveraging optimal control simulations.Six subjects performed treadmill running at three speeds whilst marker trajectories and IMU signals were collected concurrently. A subject-specific biomechanical model consisted of a 3D representation of the lower body and torso was used, incorporating contact spheres to simulate ground contact in in the optimal control simulations. The primary objective of the optimal control simulations was tracking accelerations, angular velocities, and orientations of 8 sensors with the simulated signals from the model sensors. Additional constraints, reflecting physiological and biomechanical principles and acheiving dynamic consistency were enforced. The objective of the IMU-based inverse kinematics was to minimize the difference between input and simulated sensor orientations. The joint kinematics derived from both methods were evaluated against optical marker-based motion capture across a range of running speeds.
DOI: 10.25909/27246759
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>