cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.r8mdca
title: Occurrence Download

description: A dataset containing 672 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum robustum",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 672 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007993-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vrhay6
title: Occurrence Download

description: A dataset containing 11 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cupressus chengiana jiangeensis"
 ]
}

 The dataset includes 11 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007994-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y48q5c
title: Occurrence Download

description: A dataset containing 361 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Symphoricarpos occidentalis",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 361 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007995-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csm3dt
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gamochaeta pensylvanica",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007996-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vaynz2
title: Occurrence Download

description: A dataset containing 89 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tulipa ferganica"
 ]
}

 The dataset includes 89 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007997-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nrm8sz
title: Occurrence Download

description: A dataset containing 592 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Merops philippinus",
 "Year 2015-2025"
 ]
}

 The dataset includes 592 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007998-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nesp6f
title: Occurrence Download

description: A dataset containing 91 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sibiraea laevigata"
 ]
}

 The dataset includes 91 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007999-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17182091
title: Controlling factors of the strike-slip fault segmentation: insight from DEM modelling
DOI: 10.5281/zenodo.17182090
title: Controlling factors of the strike-slip fault segmentation: insight from DEM modelling
DOI: 10.5281/zenodo.17182109
title: Unveil wildfire dynamics in China: An hourly wildfire product based on deep learning approach with Himawari-8/9 geostationary satellite

description: I) DESCRIPTION:

We propose a thermal feature-aware attention-embedded pyramid network (TF-AEPNet) for hourly wildfire detection with Himawari AHI data, and employ this model to construct the first deep learning-based hourly 2 km wildfire product that provides the spatial-temporal coordinates of each detected fire pixel across China in 2024.

II) DATA FORMATTING

The TF-AEPNet wildfire product is stored in "2024_China_TF-AEPNet_FireProduct.xlsx". The file records the year, month, day, hour, and longitude and latitude information of all fire pixels.
DOI: 10.5281/zenodo.17182110
title: Unveil wildfire dynamics in China: An hourly wildfire product based on deep learning approach with Himawari-8/9 geostationary satellite

description: I) DESCRIPTION:

We propose a thermal feature-aware attention-embedded pyramid network (TF-AEPNet) for hourly wildfire detection with Himawari AHI data, and employ this model to construct the first deep learning-based hourly 2 km wildfire product that provides the spatial-temporal coordinates of each detected fire pixel across China in 2024.

II) DATA FORMATTING

The TF-AEPNet wildfire product is stored in "2024_China_TF-AEPNet_FireProduct.xlsx". The file records the year, month, day, hour, and longitude and latitude information of all fire pixels.
DOI: 10.15468/dl.h2k28s
title: Occurrence Download

description: A dataset containing 100514 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "HasCoordinate is true",
 "Year is 1958"
 ]
}

 The dataset includes 100514 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007912-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atapy7
title: Occurrence Download

description: A dataset containing 846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gamochaeta pensylvanica",
 "Country is Netherlands",
 "HasCoordinate is true"
 ]
}

 The dataset includes 846 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008001-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.h2yy74
title: Occurrence Download

description: A dataset containing 643 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gamochaeta pensylvanica",
 "Country is Pakistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 643 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008002-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17182088
title: Dataset of the article "Modeling the interplay between autistic symptoms, intolerance of uncertainty, anxiety and sleep difficulties in adults"

description: Full dataset with questionnaire scores from the Autism-spectrum Quotient (AQ), Social Responsiveness Scale (SRS), revised Repetitive Behaviours Scale (RBS), Glasgow Sensory Questionnaire (GSQ), short Intolerance of Uncertainty Scale (IU), trait form of the State-Trait Anxiety Inventory (STAI) and Pittsburgh Sleep Quality Index (PSQI). NT: Neurotypical adults; ASD: Adults diagnosed with Autism Spectrum Disorders.
DOI: 10.5281/zenodo.17182089
title: Dataset of the article "Modeling the interplay between autistic symptoms, intolerance of uncertainty, anxiety and sleep difficulties in adults"

description: Full dataset with questionnaire scores from the Autism-spectrum Quotient (AQ), Social Responsiveness Scale (SRS), revised Repetitive Behaviours Scale (RBS), Glasgow Sensory Questionnaire (GSQ), short Intolerance of Uncertainty Scale (IU), trait form of the State-Trait Anxiety Inventory (STAI) and Pittsburgh Sleep Quality Index (PSQI). NT: Neurotypical adults; ASD: Adults diagnosed with Autism Spectrum Disorders.
DOI: 10.15468/dl.ye5vhb
title: Occurrence Download

description: A dataset containing 5786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Halcyon smyrnensis",
 "Year 2015-2025"
 ]
}

 The dataset includes 5786 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008000-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.66626z
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Astragalus tremolsianus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 7 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008004-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qb8e4m
title: Occurrence Download

description: A dataset containing 846 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euphorbia leucocephala",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 846 records from 82 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008003-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17182042
title: 2024_China_TF-AEPNet_FireProduct

description: I) DESCRIPTION:

We propose a thermal feature-aware attention-embedded pyramid network (TF-AEPNet) for hourly wildfire detection with Himawari AHI data, and employ this model to construct the first deep learning-based hourly 2 km wildfire product that provides the spatial-temporal coordinates of each detected fire pixel across China in 2024.

II) DATA FORMATTING

The TF-AEPNet wildfire product is stored in "2024_China_TF-AEPNet_FireProduct.xlsx". The file records the year, month, day, hour, and longitude and latitude information of all fire pixels.
DOI: 10.15468/dl.pz8esa
title: Occurrence Download

description: A dataset containing 814 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Symphyotrichum ericoides",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 814 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008006-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k8xsvh
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gamochaeta pensylvanica",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 94 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008008-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.arbuts
title: Occurrence Download

description: A dataset containing 48655 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ligustrum sinense",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 48655 records from 216 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008005-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cxa5xg
title: Occurrence Download

description: A dataset containing 760 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is IDN.19.5_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 760 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008010-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17181905
title: 2024_China_TF-AEPNet_FireProduct

description: I) DESCRIPTION:

We propose a thermal feature-aware attention-embedded pyramid network (TF-AEPNet) for hourly wildfire detection with Himawari AHI data, and employ this model to construct the first deep learning-based hourly 2 km wildfire product that provides the spatial-temporal coordinates of each detected fire pixel across China in 2024.

II) DATA FORMATTING

The TF-AEPNet wildfire product is stored in "2024_China_TF-AEPNet_FireProduct.xlsx". The file records the year, month, day, hour, and longitude and latitude information of all fire pixels.
DOI: 10.5281/zenodo.17181906
title: 2024_China_TF-AEPNet_FireProduct

description: I) DESCRIPTION:

We propose a thermal feature-aware attention-embedded pyramid network (TF-AEPNet) for hourly wildfire detection with Himawari AHI data, and employ this model to construct the first deep learning-based hourly 2 km wildfire product that provides the spatial-temporal coordinates of each detected fire pixel across China in 2024.

II) DATA FORMATTING

The TF-AEPNet wildfire product is stored in "2024_China_TF-AEPNet_FireProduct.xlsx". The file records the year, month, day, hour, and longitude and latitude information of all fire pixels.
DOI: 10.18160/c94w-s2tv
title: The ICOS OTC pCO2 instrument inter-comparison data archive

description: This dataset comprises an archive of data and documents collected during the study, in support of T. Steinhoff et al. (2025), “The ICOS OTC pCO2 instrument intercomparison”, Limnology and Oceanography: Methods, https://doi.org/10.1002/lom3.10727.
In 2021, the Ocean Thematic Centre (OTC) of the European Research Infrastructure Integrated Carbon Observation System (ICOS) conducted an international pCO2 instrument intercomparison, aimed at better understanding how different types of instrumentation for the measurement of ocean pCO2 compare to each other. During the two-week long experiment, we installed 29 pCO2 instruments in a tank at the Flanders Marine Institute (VLIZ) in Oostende/Belgium, including direct air-water equilibration systems and membrane-based flow-through instruments along with submersible sensors and instruments that are normally installed on buoys and autonomous surface vehicles. 
See the document "Description of The ICOS OTC pCO2 instrument inter-comparison data archive" (https://meta.icos-cp.eu/objects/JD8SWIhE6TaGuL_kM74xEdAq) for more information about this dataset.
DOI: 10.15468/dl.6vhxdg
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Sibiraea tomentosa"
 ]
}

 The dataset includes 18 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008011-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s8qdtw
title: Occurrence Download

description: A dataset containing 106 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Sarcocapnos baetica)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 106 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008012-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17106099
title: Perturbation transcriptional responses by AI-driven framework using NOCAP and other perturbation datasets

description: This dataset contains predicted gene expression response profiles based on single-gene perturbation of protein-coding genes, generated by different models/conditions trained on the Neural Organoid Cell Atlas with Perturbations (NOCAP) Atlas.
DOI: 10.5281/zenodo.17106100
title: Perturbation transcriptional responses by AI-driven framework using NOCAP and other perturbation datasets

description: This dataset contains predicted gene expression response profiles based on single-gene perturbation of protein-coding genes, generated by different models/conditions trained on the Neural Organoid Cell Atlas with Perturbations (NOCAP) Atlas.
DOI: 10.15468/dl.tuex9u
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Gamochaeta pensylvanica",
 "Country is United Arab Emirates",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008014-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hyjwp7
title: Occurrence Download

description: A dataset containing 22254 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Falco tinnunculus",
 "Year 2015-2025"
 ]
}

 The dataset includes 22254 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008016-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8qg4s
title: Occurrence Download

description: A dataset containing 81 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Artocarpus xanthocarpus"
 ]
}

 The dataset includes 81 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008013-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7su94x
title: Occurrence Download

description: A dataset containing 7736 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Euterpe oleracea",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7736 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008017-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17028/rd.lboro.30156184
title: Research dataset for Lesion-Specific Design and Oversizing as Strategies for TAVI Optimization: A Patient-Specific Finite Element Study

description: Data to support the article Lesion-Specific Design and Oversizing as Strategies for TAVI Optimization: A Patient-Specific Finite Element Study.Article abstractTranscatheter aortic valve implantation (TAVI) is a revolutionary intervention for aortic stenosis, yet complications such as paravalvular leakage (PVL) and excessive tissue stress remain prevalent, particularly in anatomies with elliptical aortic roots. This study develops geometric optimization strategies—specifically stent oversizing and lesion-specific design—to enhance sealing performance and reduce adverse mechanical interactions. A patient-specific finite element model of the aortic root was developed from CT imaging, and various stent designs were simulated, including alterations in strut thickness, width, and length. The evaluation compared conventional and modified stent configurations under standardized deployment conditions, including the effect of oversizing. Key metrics such as stress distribution, annulus gap area, and stent–aorta contact were particularly analyzed to assess device performance. A correlation analysis was conducted to identify interdependencies among the structural stiffness of the stents and deployment behaviors. Findings highlight the trade-offs between expansion, sealing, and mechanical response, emphasizing that tailored stent designs—particularly those with localized strut modifications—can achieve improved balance in anatomically challenging cases. The computational framework established in this study supports future TAVI optimization by linking stent design to patient-specific deployment outcomes
DOI: 10.17028/rd.lboro.30156184.v1
title: Research dataset for Lesion-Specific Design and Oversizing as Strategies for TAVI Optimization: A Patient-Specific Finite Element Study

description: Data to support the article Lesion-Specific Design and Oversizing as Strategies for TAVI Optimization: A Patient-Specific Finite Element Study.Article abstractTranscatheter aortic valve implantation (TAVI) is a revolutionary intervention for aortic stenosis, yet complications such as paravalvular leakage (PVL) and excessive tissue stress remain prevalent, particularly in anatomies with elliptical aortic roots. This study develops geometric optimization strategies—specifically stent oversizing and lesion-specific design—to enhance sealing performance and reduce adverse mechanical interactions. A patient-specific finite element model of the aortic root was developed from CT imaging, and various stent designs were simulated, including alterations in strut thickness, width, and length. The evaluation compared conventional and modified stent configurations under standardized deployment conditions, including the effect of oversizing. Key metrics such as stress distribution, annulus gap area, and stent–aorta contact were particularly analyzed to assess device performance. A correlation analysis was conducted to identify interdependencies among the structural stiffness of the stents and deployment behaviors. Findings highlight the trade-offs between expansion, sealing, and mechanical response, emphasizing that tailored stent designs—particularly those with localized strut modifications—can achieve improved balance in anatomically challenging cases. The computational framework established in this study supports future TAVI optimization by linking stent design to patient-specific deployment outcomes