cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.jcnbo0
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0019771-180131172636756/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.euieny
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014835-160910150852091/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.3pig2k
title: Occurrence Download

description: A dataset containing 32 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 32 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015249-190813142620410/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.l0mni8
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is (Table 1) Proportion of Toxoplasma gondii seropositive arctic foxes (Alopex lagopus) by age group and geographic area"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007413-160526112335914/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qtjujc
title: Occurrence Download

description: A dataset containing 185175711 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Occurrence evidence, Living Specimen, Fossil, Specimen, Material sample, Material citation)",
 {
 "or" : [
 "IdentifiedBy is not null",
 "RecordedBy is not null"
 ]
 },
 {
 "or" : [
 {
 "not" : {
 "VerbatimScientificName" : [
 "is not null"
 ]
 }
 },
 {
 "not" : {
 "or" : [
 "VerbatimScientificName ~*BOLD:*",
 "VerbatimScientificName ~*BOLD-*",
 "VerbatimScientificName ~*BIOUG*"
 ]
 }
 }
 ]
 }
 ]
}

 The dataset includes 185175711 records from 21649 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0229636-220831081235567/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qeycc6
title: Occurrence Download

description: A dataset containing 13414 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Herbarium specimens, Harmas J.H. Fabre (FABR - Sérignan-du-Comtat) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 13414 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021163-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/12532308
title: Health Workforce Shortage Areas
DOI: 10.17632/2sxsg2pmyp
title: ANEMONE: A framework for three-dimensional simulations of solid-state electroaerodynamic propulsion systems

description: Solid-state electro-aerodynamic propulsion systems are devices that utilize atmospheric pressure corona discharge and have been actively researched in recent years as a means of achieving silent drones. However, these systems contain multiple, widely disparate time and spatial scales. Therefore, the governing equations of the systems, a three-component plasma fluid model that considers the presence of electrons, positive ions, and negative ions, constitute a stiff non-linear system of partial differential equations, challenging to solve. Here, we have developed an ANEMONE simulator capable of numerically estimating the corona inception voltage and energy conversion efficiency in three-dimensional solid-state electro-aerodynamic propulsion systems. Specifically, on the basis of the governing equations, we adopted the method of characteristics and the perturbation method to obtain the sub-problems. Furthermore, we have successfully obtained the integral equations, making the sub-problems easier to solve. Finally, we validated the prediction results based on the theoretical results in a previous study. Remarkably, ANEMONE is the first simulator in the world which predicted the two representative performance (i.e., the corona inception voltage and energy conversion efficiency) of fully three-dimensional propulsion systems.
DOI: 10.17632/2sxsg2pmyp.1
title: ANEMONE: A framework for three-dimensional simulations of solid-state electroaerodynamic propulsion systems

description: Solid-state electro-aerodynamic propulsion systems are devices that utilize atmospheric pressure corona discharge and have been actively researched in recent years as a means of achieving silent drones. However, these systems contain multiple, widely disparate time and spatial scales. Therefore, the governing equations of the systems, a three-component plasma fluid model that considers the presence of electrons, positive ions, and negative ions, constitute a stiff non-linear system of partial differential equations, challenging to solve. Here, we have developed an ANEMONE simulator capable of numerically estimating the corona inception voltage and energy conversion efficiency in three-dimensional solid-state electro-aerodynamic propulsion systems. Specifically, on the basis of the governing equations, we adopted the method of characteristics and the perturbation method to obtain the sub-problems. Furthermore, we have successfully obtained the integral equations, making the sub-problems easier to solve. Finally, we validated the prediction results based on the theoretical results in a previous study. Remarkably, ANEMONE is the first simulator in the world which predicted the two representative performance (i.e., the corona inception voltage and energy conversion efficiency) of fully three-dimensional propulsion systems.
DOI: 10.15468/dl.3kecr2
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cebus apella)",
 "Country is one of (Bermuda, Canada, Greenland, Saint Pierre and Miquelon, United States of America)"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021165-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/49kv3x9543
title: Accumulation of β-glucan in oat grain and mining the related genes

description: This dataset contains transcriptomic data and qRT-PCR data. Transcriptome generally refers to the collection of all transcriptome products in a cell under a certain physiological condition. The research object is the sum of all RNA that can be transcribed by a specific cell in a certain functional state, mainly including mRNA and ncRNA. In a narrow sense, it refers to the collection of all mRNAs, and the RNA detected in this project specifically refers to mRNA. Transcriptome sequencing analysis of 12 samples of Baiyan 2 was completed in this project, and a total of 179.08 Gb Clean Data was obtained. The Clean Data of each sample reached 11 Gb, and the percentage of Q30 bases was 94 % or more. Based on the comparison results, gene structure optimization analysis and new gene discovery were carried out. Based on the comparison results, gene expression analysis was performed. Differentially expressed genes were identified according to the expression levels of genes in different samples, and functional annotation and enrichment analysis were performed. qRT-PCR folder contains amplification curve and melting curve, expression statistics table and histogram with comparison groups, Ct value and primer information of gene.
DOI: 10.17632/49kv3x9543.1
title: Accumulation of β-glucan in oat grain and mining the related genes

description: This dataset contains transcriptomic data and qRT-PCR data. Transcriptome generally refers to the collection of all transcriptome products in a cell under a certain physiological condition. The research object is the sum of all RNA that can be transcribed by a specific cell in a certain functional state, mainly including mRNA and ncRNA. In a narrow sense, it refers to the collection of all mRNAs, and the RNA detected in this project specifically refers to mRNA. Transcriptome sequencing analysis of 12 samples of Baiyan 2 was completed in this project, and a total of 179.08 Gb Clean Data was obtained. The Clean Data of each sample reached 11 Gb, and the percentage of Q30 bases was 94 % or more. Based on the comparison results, gene structure optimization analysis and new gene discovery were carried out. Based on the comparison results, gene expression analysis was performed. Differentially expressed genes were identified according to the expression levels of genes in different samples, and functional annotation and enrichment analysis were performed. qRT-PCR folder contains amplification curve and melting curve, expression statistics table and histogram with comparison groups, Ct value and primer information of gene.
DOI: 10.15468/dl.tqf4gn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cebus apella)",
 "Country is one of (Afghanistan, Armenia, Azerbaijan, Bahrain, Bangladesh, Bhutan, Brunei Darussalam, Cambodia, China, Cyprus, Georgia, Hong Kong, India, Indonesia, Iran (Islamic Republic of), Iraq, Israel, Japan, Jordan, Kazakhstan, Korea (Democratic People’s Republic of), Korea, Republic of, Kuwait, Kyrgyzstan, Lao People’s Democratic Republic, Lebanon, Macao, Malaysia, Maldives, Mongolia, Myanmar, Nepal, Oman, Pakistan, Palestine, State of, Philippines, Qatar, Saudi Arabia, Singapore, Sri Lanka, Syrian Arab Republic, Tajikistan, Thailand, Timor-Leste, Türkiye, Turkmenistan, United Arab Emirates, Uzbekistan, Viet Nam, Yemen)"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021164-250717081556266/datasets/export for details.
DOI: 10.17632/p3395559s6
title: Q-POP-IMT: An open-source phase-field software for simulating insulator-metal transition processes in quantum materials

description: Insulator-metal transitions in quantum materials have important potential applications in areas such as field-effect transistors and neuromorphic computing. Here we present an initial release of the Q-POP-IMT module, an open-source phase-field software for simulating mesoscopic, nonequilibrium processes of insulator-metal transitions in quantum materials. Q-POP-IMT solves the phase-field equations of evolution that describe insulator-metal transitions at the mesoscale using the finite element method. It currently utilizes the powerful FEniCS library to define and solve finite element problems. Thanks to the finite element method, the code can address general boundary conditions such as a complex integral boundary condition corresponding to one of the most common setups in experiments and applications. We demonstrate the usage of the code through simulating the neuron-like voltage self-oscillation phenomenon in a prototypical correlated material, vanadium dioxide.
DOI: 10.17632/p3395559s6.1
title: Q-POP-IMT: An open-source phase-field software for simulating insulator-metal transition processes in quantum materials

description: Insulator-metal transitions in quantum materials have important potential applications in areas such as field-effect transistors and neuromorphic computing. Here we present an initial release of the Q-POP-IMT module, an open-source phase-field software for simulating mesoscopic, nonequilibrium processes of insulator-metal transitions in quantum materials. Q-POP-IMT solves the phase-field equations of evolution that describe insulator-metal transitions at the mesoscale using the finite element method. It currently utilizes the powerful FEniCS library to define and solve finite element problems. Thanks to the finite element method, the code can address general boundary conditions such as a complex integral boundary condition corresponding to one of the most common setups in experiments and applications. We demonstrate the usage of the code through simulating the neuron-like voltage self-oscillation phenomenon in a prototypical correlated material, vanadium dioxide.
DOI: 10.17632/vs86pk3dpt
title: A non-periodic particle mesh Ewald method for radially symmetric kernels in free space

description: The FFT-based smooth particle mesh Ewald (PME) method is extended to non-periodic charge systems interacting via a radially symmetric kernel f(r). The proposed non-periodic PME (NPME) method begins by splitting the kernel f(r) into a short-range component f_s(r) and a smooth long-range component f_l(r). A Fourier extension for f_l(r) is computed numerically using discrete Fourier transform interpolation, enabling efficient treatment of anisotropic rectangular charge volume and offering additional flexibility in the choice of kernel splitting. A derivative-matched (DM) splitting is introduced for general radially symmetric kernels f(r), improving computational performance over traditional Ewald splitting methods. An optimized grid storage algorithm for NPME is proposed, reducing total grid memory by a factor of four. The NPME algorithm is implemented in a C++ library, npme, which supports both pre-defined kernels (e.g. 1/r, r^α, exp(ik_0 r)/r) and user-defined kernels via C++ classes. npme is benchmarked and compared to fmm3D on test systems in computational chemistry and computational electromagnetics. As a practical application, NPME is combined with Method of Moments (MoM) to form a hybrid MoM-NPME algorithm for calculating the radar cross section (RCS) of a perfect electric conductor (PEC). The MoM–NPME method is used to compute the bistatic RCS of a 1-meter PEC sphere at 37.8 GHz and the monostatic RCS of the NASA almond at 75 GHz.
DOI: 10.17632/vs86pk3dpt.1
title: A non-periodic particle mesh Ewald method for radially symmetric kernels in free space

description: The FFT-based smooth particle mesh Ewald (PME) method is extended to non-periodic charge systems interacting via a radially symmetric kernel f(r). The proposed non-periodic PME (NPME) method begins by splitting the kernel f(r) into a short-range component f_s(r) and a smooth long-range component f_l(r). A Fourier extension for f_l(r) is computed numerically using discrete Fourier transform interpolation, enabling efficient treatment of anisotropic rectangular charge volume and offering additional flexibility in the choice of kernel splitting. A derivative-matched (DM) splitting is introduced for general radially symmetric kernels f(r), improving computational performance over traditional Ewald splitting methods. An optimized grid storage algorithm for NPME is proposed, reducing total grid memory by a factor of four. The NPME algorithm is implemented in a C++ library, npme, which supports both pre-defined kernels (e.g. 1/r, r^α, exp(ik_0 r)/r) and user-defined kernels via C++ classes. npme is benchmarked and compared to fmm3D on test systems in computational chemistry and computational electromagnetics. As a practical application, NPME is combined with Method of Moments (MoM) to form a hybrid MoM-NPME algorithm for calculating the radar cross section (RCS) of a perfect electric conductor (PEC). The MoM–NPME method is used to compute the bistatic RCS of a 1-meter PEC sphere at 37.8 GHz and the monostatic RCS of the NASA almond at 75 GHz.
DOI: 10.17632/n9xk2rbf39.1
title: Supplementary material of “REE mineralization controlled by decarbonation-driven brine-melt alkalinity and ligand availability in carbonatite and associated fenite systems”

description: The supplementary document associated with this paper contains one figure and six tables. 
Supplementary Figure S1: 87Sr/86Sr ratios v.s. bulk rock Sr concentrations for carbonatite and sodic fenites within the Wu carbonatite dyke.
Supplementary Tables: Comprehensive dataset including bulk rock compositions of carbonatite, fenite, and country rock, as well as in situ chemical and isotopic analyses of minerals.
DOI: 10.15468/dl.t3vf2a
title: Occurrence Download

description: A dataset containing 1852 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Cebus apella)",
 "Country is one of (Anguilla, Antigua and Barbuda, Argentina, Aruba, Bahamas, Barbados, Belize, Bolivia (Plurinational State of), Bonaire, Sint Eustatius and Saba, Bouvet Island, Brazil, Cayman Islands, Chile, Colombia, Costa Rica, Cuba, Curaçao, Dominica, Dominican Republic, Ecuador, El Salvador, Falkland Islands (Malvinas), French Guiana, Grenada, Guadeloupe, Guatemala, Guyana, Haiti, Honduras, Jamaica, Martinique, Mexico, Montserrat, Nicaragua, Panama, Paraguay, Peru, Puerto Rico, Saint Barthélemy, Saint Kitts and Nevis, Saint Lucia, Saint Martin (French part), Saint Vincent and the Grenadines, Sint Maarten (Dutch part), South Georgia and the South Sandwich Islands, Suriname, Trinidad and Tobago, Turks and Caicos Islands, Uruguay, Venezuela (Bolivarian Republic of), Virgin Islands (British), Virgin Islands (U.S.))"
 ]
}

 The dataset includes 1852 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021166-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b7k9xmjz94
title: Evaluation and sensitivity analysis of the FitzHugh–Nagumo model parameters for studying electrical signals generated by different biological tissues

description: Accurate modeling of cardiac electrical activity is essential for developing diagnostic and therapeutic technologies. This study presents a parameter evaluation of a modified FitzHugh–Nagumo (FHN) model to reproduce the specific waveforms generated by different cardiac tissues, such as the sinoatrial node, atria, atrioventricular node, Purkinje fibers, and ventricles. Through a systematic sensitivity analysis, the influence of key parameters on waveform features such as amplitude, duration, and frequency is identified, allowing precise calibration for each tissue type. These parameter sets were then integrated into a multi-compartment model and implemented in a two-dimensional (2D) spatial domain using COMSOL Multiphysics, following the framework of Sovilj et al. The simulations successfully replicated electrocardiographic components—including the P wave, QRS complex, and T wave—by combining spatially distributed signals with physiologically representative dynamics. Rather than proposing a new model, this work validates a methodology for tuning and applying simplified excitable models to simulate realistic cardiac behavior efficiently. The approach offers potential applications in the design of low-power wearable devices and supports the development of personalized monitoring systems. Future work will extend this methodology to other excitable tissues and explore its use in modeling pathological conditions or structural constraints, providing a flexible platform for evaluating requirements in next-generation bioelectronic devices.
DOI: 10.17632/b7k9xmjz94.1
title: Evaluation and sensitivity analysis of the FitzHugh–Nagumo model parameters for studying electrical signals generated by different biological tissues

description: Accurate modeling of cardiac electrical activity is essential for developing diagnostic and therapeutic technologies. This study presents a parameter evaluation of a modified FitzHugh–Nagumo (FHN) model to reproduce the specific waveforms generated by different cardiac tissues, such as the sinoatrial node, atria, atrioventricular node, Purkinje fibers, and ventricles. Through a systematic sensitivity analysis, the influence of key parameters on waveform features such as amplitude, duration, and frequency is identified, allowing precise calibration for each tissue type. These parameter sets were then integrated into a multi-compartment model and implemented in a two-dimensional (2D) spatial domain using COMSOL Multiphysics, following the framework of Sovilj et al. The simulations successfully replicated electrocardiographic components—including the P wave, QRS complex, and T wave—by combining spatially distributed signals with physiologically representative dynamics. Rather than proposing a new model, this work validates a methodology for tuning and applying simplified excitable models to simulate realistic cardiac behavior efficiently. The approach offers potential applications in the design of low-power wearable devices and supports the development of personalized monitoring systems. Future work will extend this methodology to other excitable tissues and explore its use in modeling pathological conditions or structural constraints, providing a flexible platform for evaluating requirements in next-generation bioelectronic devices.
DOI: 10.15468/dl.qec3k7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Felis catus",
 "Country is Vanuatu",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0021167-250717081556266/datasets/export for details.
DOI: 10.17632/nv4gzjrdcr
title: AI is the Dominant, but not Definitive: Technological Tools for Higher Education Self-Directed ESL/EFL

description: AI-driven tools have proven effective in enhancing ESL/EFL learners’ proficiency and in fostering self-directed learning, yet AI still struggles with cultural nuances and contextual accuracy. Non-AI resources such as instructional videos, LMS platforms, interactive digital tools and corpus-based applications also support autonomy and help bridge AI’s gaps. While AI may yield slightly higher gains in learner self-directedness, the difference isn’t significant, underscoring the value of non-AI methods. An integrated approach that combines the strengths of both AI and non-AI tools offers the most comprehensive support for self-directed ESL/EFL learners. Harnessing insights from 178 empirical studies (2020– 1st Quartile 2025), this dataset maps trending AI and non-AI tools for self-directed ESL/EFL across skills, regions, and learner profiles, and it calls for comparative, longitudinal, and culturally nuanced research into AI/non-AI synergies.