cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5286/isis.e.rb2520321-1
title: Anisotropic dynamics and skyrmion physics in multi-q magnets

description: In an effort to understand the interactions at play in centrosymmetric skyrmion-hosting systems, we propose here to investigate TbRu2Si2 and TbRu2Ge2. These are materials based on the skyrmion host GdRu2Si2, in which the additional presence of orbital angular momentum promotes significant spin orbit splitting. Here we will probe the magnetic dynamics across the rich phase diagram as a function of crystal orientation and material. Our aim is to use the temperature-dependence of the muon relaxation rate to assess the dynamics within each of the magnetic phases, as we expect magnon-driven, critical scaling and energy-gap driven temperature-dependences to distinguish the different magnetic states.
DOI: 10.5286/isis.e.rb2520321
title: Anisotropic dynamics and skyrmion physics in multi-q magnets

description: In an effort to understand the interactions at play in centrosymmetric skyrmion-hosting systems, we propose here to investigate TbRu2Si2 and TbRu2Ge2. These are materials based on the skyrmion host GdRu2Si2, in which the additional presence of orbital angular momentum promotes significant spin orbit splitting. Here we will probe the magnetic dynamics across the rich phase diagram as a function of crystal orientation and material. Our aim is to use the temperature-dependence of the muon relaxation rate to assess the dynamics within each of the magnetic phases, as we expect magnon-driven, critical scaling and energy-gap driven temperature-dependences to distinguish the different magnetic states.
DOI: 10.5286/isis.e.rb2520499-1
title: Distribution of stress near the hole-punched region before and after fatigue loading in advanced high-strength steels

description: Advanced high-strength steels (AHSS) are increasingly used in the automotive industry due to their superior strength-to-weight ratio, enabling thinner structural components and improved fuel efficiency. However, forming processes such as hole punching can induce surface roughness, shear-affected zones, and high residual stress concentrations that significantly reduce fatigue performance. This proposal aims to investigate the localized residual stress distribution near the hole-punched interface in AHSS components and how this evolves during fatigue loading. 

In this work, we propose neutron diffraction mapping of residual strain in 350 × 100 × 8 mm³ steel plates with 15 mm diameter punched holes, focusing on two steels: AHSS (700MCPlus) and HSLA (500MC). Measurements will be conducted in the longitudinal, transverse, and normal directions over a 3 × 8 mm² area at the hole interface, using a 1 × 1 × 1 mm³ gauge volume for high spatial resolution. Samples in both the as-received and 1000-cycle fatigue-loaded states will be examined. These measurements will confirm simulation-predicted stress distributions, including high tensile and compressive regions, as well as help assess stress relaxation within this region after fatigue loading.

The results from this proposal will serve as essential ground truth for refining fatigue life models, as well as supporting the development of AHSS grades optimized for fatigue performance in automotive applications.
DOI: 10.5286/isis.e.rb2520499
title: Distribution of stress near the hole-punched region before and after fatigue loading in advanced high-strength steels

description: Advanced high-strength steels (AHSS) are increasingly used in the automotive industry due to their superior strength-to-weight ratio, enabling thinner structural components and improved fuel efficiency. However, forming processes such as hole punching can induce surface roughness, shear-affected zones, and high residual stress concentrations that significantly reduce fatigue performance. This proposal aims to investigate the localized residual stress distribution near the hole-punched interface in AHSS components and how this evolves during fatigue loading. 

In this work, we propose neutron diffraction mapping of residual strain in 350 × 100 × 8 mm³ steel plates with 15 mm diameter punched holes, focusing on two steels: AHSS (700MCPlus) and HSLA (500MC). Measurements will be conducted in the longitudinal, transverse, and normal directions over a 3 × 8 mm² area at the hole interface, using a 1 × 1 × 1 mm³ gauge volume for high spatial resolution. Samples in both the as-received and 1000-cycle fatigue-loaded states will be examined. These measurements will confirm simulation-predicted stress distributions, including high tensile and compressive regions, as well as help assess stress relaxation within this region after fatigue loading.

The results from this proposal will serve as essential ground truth for refining fatigue life models, as well as supporting the development of AHSS grades optimized for fatigue performance in automotive applications.
DOI: 10.5286/isis.e.rb2520151-1
title: Probing Li-ion diffusion in Li1.17Ti0.33TM0.25Mo0.25O2 (TM= Mo, Cr, Fe, Ni) with a disordered rocksalt-type structure using μ+SR

description: Cation-disordered rocksalt (DRS) Li-rich oxides are promising cathode materials for Li-ion batteries due to their high capacities (ca. 300 mAh/g), compositional versatility, and structural stability. However, their intrinsic Li-ion diffusion properties remain poorly understood. Conventional techniques such as NMR and impedance spectroscopy are limited by magnetic interactions and microstructural effects, complicating accurate determination of diffusion coefficients (DLi) and activation energies (Ea). We propose to investigate Li-ion transport in four cobalt-free DRS oxides containing transition metals such as Mo, Cr, Fe, and Ni. Our electrochemical data show distinct voltage profiles and cycling stability among these materials. Preliminary operando pair distribution function (PDF) and ex situ X-ray absorption spectroscopy (XAS) analyses reveal variations in short-range order (SRO) and differing degrees of reversible metal migration. We hypothesise that these structural differences influence Li-ion mobility. By combining μ⁺SR measurements with our structural data, we aim to directly determine DLi and Ea as a function of transition metal chemistry and local structure. This will allow us to correlate Li-ion transport with SRO and guide the rational design of next-generation cathodes with improved performance.
DOI: 10.5286/isis.e.rb2520151
title: Probing Li-ion diffusion in Li1.17Ti0.33TM0.25Mo0.25O2 (TM= Mo, Cr, Fe, Ni) with a disordered rocksalt-type structure using μ+SR

description: Cation-disordered rocksalt (DRS) Li-rich oxides are promising cathode materials for Li-ion batteries due to their high capacities (ca. 300 mAh/g), compositional versatility, and structural stability. However, their intrinsic Li-ion diffusion properties remain poorly understood. Conventional techniques such as NMR and impedance spectroscopy are limited by magnetic interactions and microstructural effects, complicating accurate determination of diffusion coefficients (DLi) and activation energies (Ea). We propose to investigate Li-ion transport in four cobalt-free DRS oxides containing transition metals such as Mo, Cr, Fe, and Ni. Our electrochemical data show distinct voltage profiles and cycling stability among these materials. Preliminary operando pair distribution function (PDF) and ex situ X-ray absorption spectroscopy (XAS) analyses reveal variations in short-range order (SRO) and differing degrees of reversible metal migration. We hypothesise that these structural differences influence Li-ion mobility. By combining μ⁺SR measurements with our structural data, we aim to directly determine DLi and Ea as a function of transition metal chemistry and local structure. This will allow us to correlate Li-ion transport with SRO and guide the rational design of next-generation cathodes with improved performance.
DOI: 10.15468/dl.twktua
title: Occurrence Download

description: A dataset containing 21999 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bylgides sarsi",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 21999 records from 100 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037379-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2520323-1
title: Probing N2 molecules in oxidised oxynitride perovskites

description: Oxidation of some oxynitrides in air produces compounds in which the N2 formed in the oxidation is retained within the poorly-crystalline oxide that forms. This proposal is to use neutron total scattering measurements to probe the nature of the retained N2 molecules and their local coordination environments within the solid. Comparison will be made with O2-containing oxidised battery materials.
DOI: 10.5286/isis.e.rb2520323
title: Probing N2 molecules in oxidised oxynitride perovskites

description: Oxidation of some oxynitrides in air produces compounds in which the N2 formed in the oxidation is retained within the poorly-crystalline oxide that forms. This proposal is to use neutron total scattering measurements to probe the nature of the retained N2 molecules and their local coordination environments within the solid. Comparison will be made with O2-containing oxidised battery materials.
DOI: 10.5286/isis.e.rb2310688-1
title: Using muons to probe low energy quantum fluctuations in the mineral Linarite

description: Novel, low dimensional magentic systems tend to be dominated by quantum behaviour. They serve as excellent test beds for theoretical models, but also signposting chemical structures by which to achieve different desired properties. There however some chemical structures that prove hard to predicit and synthesise within the lab, and often nature can help us out by providing naturally occuring minerals. One such example is linarite that has recieved much attention over the years; a compund that is dominated by 1D chains of Cu(II) ions.There is speculation as to whether quantum fluctuations are present and supress magnetic order or cause the magentic order to be weak. Recent neutron experiments have shown that there is very weak inter-chain coupling, but is it an order of magentitude lower then the intra-chain coupling. Muons are an ideal probe for studying order as well as any magentic flucutations and can provide definative answers on the low energy fluctuations within the system.
DOI: 10.5286/isis.e.rb2310688
title: Using muons to probe low energy quantum fluctuations in the mineral Linarite

description: Novel, low dimensional magentic systems tend to be dominated by quantum behaviour. They serve as excellent test beds for theoretical models, but also signposting chemical structures by which to achieve different desired properties. There however some chemical structures that prove hard to predicit and synthesise within the lab, and often nature can help us out by providing naturally occuring minerals. One such example is linarite that has recieved much attention over the years; a compund that is dominated by 1D chains of Cu(II) ions.There is speculation as to whether quantum fluctuations are present and supress magnetic order or cause the magentic order to be weak. Recent neutron experiments have shown that there is very weak inter-chain coupling, but is it an order of magentitude lower then the intra-chain coupling. Muons are an ideal probe for studying order as well as any magentic flucutations and can provide definative answers on the low energy fluctuations within the system.
DOI: 10.5286/isis.e.rb2510220-1
title: Novel coacervate vesicles as protocell model: Nano-structural insights from SANS

description: We propose a SANS study to elucidate the internal nanostructure of novel coacervate-based artificial cells, or protocells. Coacervates form through liquid-liquid phase separation between oppositely charged polymers in water. Although they are promising as protocell models, the lack of an enclosing membrane has led to challenges such as low stability and coalescence. Recent efforts to address these challenges have focused on converting coacervate droplets into vesicles. However, current methods in the literature rely on the addition of external chemical agents to induce electrostatic modifications. To overcome this limitation, we have developed a novel binary polymer system capable of forming stable coacervate vesicles through the application of a mechanical force, without altering the system’s chemical composition. Preliminary analyses have shown that mixing these two polymers at specific molar ratios results in the formation of collapsed nanodroplets, which subsequently self-assemble when subjected to strong mechanical agitation. SANS measurements will provide crucial insights into the internal structure of these nanodroplets and coacervate vesicles, inaccessible to other techniques, advancing our understanding of their self-assembly and potential as a novel protocell model.
DOI: 10.5286/isis.e.rb2510220
title: Novel coacervate vesicles as protocell model: Nano-structural insights from SANS

description: We propose a SANS study to elucidate the internal nanostructure of novel coacervate-based artificial cells, or protocells. Coacervates form through liquid-liquid phase separation between oppositely charged polymers in water. Although they are promising as protocell models, the lack of an enclosing membrane has led to challenges such as low stability and coalescence. Recent efforts to address these challenges have focused on converting coacervate droplets into vesicles. However, current methods in the literature rely on the addition of external chemical agents to induce electrostatic modifications. To overcome this limitation, we have developed a novel binary polymer system capable of forming stable coacervate vesicles through the application of a mechanical force, without altering the system’s chemical composition. Preliminary analyses have shown that mixing these two polymers at specific molar ratios results in the formation of collapsed nanodroplets, which subsequently self-assemble when subjected to strong mechanical agitation. SANS measurements will provide crucial insights into the internal structure of these nanodroplets and coacervate vesicles, inaccessible to other techniques, advancing our understanding of their self-assembly and potential as a novel protocell model.
DOI: 10.15468/dl.s6v68e
title: Occurrence Download

description: A dataset containing 64 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorex milleri",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 64 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037384-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17035/cardiff.30814814
title: Variance heterogeneity GWAS (vGWAS) for refractive error using three methods

description: Three vGWAS analyses were performed for the trait 'refractive error' in a sample of 77,880 UK Biobank participants (https://www.ukbiobank.ac.uk/). Note that unlike a conventional GWAS analysis, vGWAS tests typically output only a p-value for each SNP (rather than a beta coefficient, standard error and p-value). Details of the analysis and data can be found in the README.txt file.<br>
DOI: 10.17035/cardiff.30814814.v1
title: Variance heterogeneity GWAS (vGWAS) for refractive error using three methods

description: Three vGWAS analyses were performed for the trait 'refractive error' in a sample of 77,880 UK Biobank participants (https://www.ukbiobank.ac.uk/). Note that unlike a conventional GWAS analysis, vGWAS tests typically output only a p-value for each SNP (rather than a beta coefficient, standard error and p-value). Details of the analysis and data can be found in the README.txt file.<br>
DOI: 10.15468/dl.crnsgg
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((116.444 -1.039818, 116.373725 -1.045384, 116.30518 -1.061945, 116.240052 -1.089094, 116.179943 -1.126162, 116.126333 -1.172237, 116.080542 -1.226186, 116.043698 -1.286679, 116.016708 -1.352228, 116.000237 -1.421219, 115.994691 -1.491954, 116.000208 -1.562691, 116.016654 -1.631689, 116.043624 -1.697248, 116.080455 -1.757753, 116.126241 -1.811715, 116.179856 -1.857805, 116.239978 -1.894886, 116.305126 -1.922045, 116.373697 -1.938612, 116.444 -1.944181, 116.514303 -1.938612, 116.582874 -1.922045, 116.648022 -1.894886, 116.708144 -1.857805, 116.761759 -1.811715, 116.807545 -1.757753, 116.844376 -1.697248, 116.871346 -1.631689, 116.887792 -1.562691, 116.893309 -1.491954, 116.887763 -1.421219, 116.871292 -1.352228, 116.844302 -1.286679, 116.807458 -1.226186, 116.761667 -1.172237, 116.708057 -1.126162, 116.647948 -1.089094, 116.58282 -1.061945, 116.514275 -1.045384, 116.444 -1.039818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037385-251120083545085/datasets/export for details.
DOI: 10.15468/dl.3cmb88
title: Occurrence Download

description: A dataset containing 30743 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is Vespa velutina",
 "Year is one of (2024, 2025)",
 "HasCoordinate is true",
 "Geometry POLYGON((3.5 43.5, 12.5 43.5, 12.5 50.5, 3.5 50.5, 3.5 43.5))"
 ]
}

 The dataset includes 30743 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037380-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.r8s8a4
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Hemidactylus easai"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037386-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bfwfnt
title: Occurrence Download

description: A dataset containing 33882 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orcinus orca"
 ]
}

 The dataset includes 33882 records from 424 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037382-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17855008
title: A Rigorous Multidisciplinary Theoretical Framework for Synergistic Bio- and Non-Biochemical Interventions to Reverse Cellular and Tissue Aging: Quantitative Stochastic Modeling, Clinical Applications, and Translational Precision Medicine

description: This pioneering theoretical framework integrates biochemistry, bioengineering, applied mathematics, computational biology, and pharmacology to model synergistic bio- and non-biochemical interventions for cellular and tissue rejuvenation, advancing beyond existing stochastic models by incorporating hierarchical phased epigenetics with AI-driven precision. We develop and rigorously analyze stochastic differential equation (SDE) models encompassing mitochondrial function, reactive oxygen species (ROS) dynamics, telomere attrition, cellular senescence, inflammaging, genomic instability, and---with expanded temporal sequencing---epigenetic drift, incorporating phased dynamics (early programmed vs. midlife-accelerated stochastic accrual at CpG sites, nonlinear acceleration ∼45 yr via Lyapunov stability analysis with μ_L ≈ 0.012 yr^{-1}), for precise multi-hallmark integration [1]. Detailed derivations, drift-diffusion mechanics (Itô semimartingales with positivity-preserving reflections), numerical schemes (Euler--Maruyama Δt = 0.001 yr, weak order 1.0 via Richardson extrapolation O(Δt), strong O(√Δt) Milstein verification with <1% pathwise error), and empirical calibration (least-squares on residuals, maximum likelihood for distributions, hierarchical Bayesian with informative priors yielding 95% CIs via HPD intervals) ground in multi-omics cohorts (NHANES/UK Biobank/GTEx/TCGA). Innovations: (1) hierarchical phased epi-SDE with fast noise σ_E' atop θ_t decay and nonlinear bifurcation analysis, capturing 66--90% clock variance; (2) hybrid SDE-ABMs (O(Δt) convergence, moment-matching up to order 4); (3) global sensitivity (EFAST Sobol n=4096, bootstrap CIs <0.05, full ANOVA decomposition R^2=0.99, epi-phased 20% network variance attribution); (4) PyMC v5 NUTS (4 chains, 2000 draws, thinning=10, \hat{R}<1.01, PPC Cramér--von Mises <5%); (5) TensorFlow 2.16 PINNs (composite loss MSE + PDE res. + entropy reg., Adam lr=1e-3, 5000 epochs, rel. error <2% on held-out trajectories). Liposomal NMN--fisetin PDEs (Godunov FV, efficiency >75%, RMSE <5% vs. PK trials). Simulations (n=2000, multiplicative noise, antithetic variates for variance reduction) baseline M(100) ≈ 2.7e-15 ± 1.1e-15 (CV=41%, 95% PI [1.2e-15,4.2e-15]); synergies ∼10^5× (p<10^{-12} Wilcoxon, KS D=0.95, Cohen's d=1.8, power=0.99). Hybrids: Moran's I=0.42 → 0.11 (spatial epi-clusters). Epi models capture 66--90% clock variance with phased fidelity [1]. AI precision: digital twins for phased epi-forecasting, interpretable stratification in gene therapy (e.g., CRISPR-AI off-target <0.1% [2]). Trials: NCT04910061/NCT06431932. Ethics: Gini <0.2, federated learning. Replicable code (GitHub DOI), proofs (ℜ(λ)<0 pre-nonlinear, μ_L>0 post), 2024--2025 lit. (AI-gene therapy, dissipation theory [3]) ensure stringent cohesion and accuracy, positioning this framework as a cornerstone for next-generation geroscience.
DOI: 10.5517/ccdc.csd.cc2jxm69
title: CCDC 2351201: Experimental Crystal Structure Determination

description: Related Article: Alexander M. Stone, Andrew R. Golden, Shan M. Daniel, Arnold L. Rheingold and John D. Protasiewicz|2024|Eur.J.Inorg.Chem.|27|e202400260|doi:10.1002/ejic.202400260
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kpjd6
title: CCDC 2374178: Experimental Crystal Structure Determination

description: Related Article: Xiaoao Wang, Lu Zhao, Yunfeng Bai, Feng Feng|2025|Cryst.Growth Des.|||doi:10.1021/acs.cgd.5c00663
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.