cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.mqg774
title: Occurrence Download

description: A dataset containing 37154354 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation, Fossil, Occurrence evidence, Material sample)",
 "Country is Colombia",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 37154354 records from 3633 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0033652-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30947390.v1
title: Temporal Entanglement Points (TEPs) Reveal Population Vulnerability Points in SARS-CoV-2 Lineage Evolution Across the Pandemic Span 2020 - 2025

description: This radial plot visualizes SARS-CoV-2 lineage persistence as continuous trajectories across years, with each lineage colored by its origin year. The most densely intersecting regions are labeled <b>Temporal Entanglement Points (TEPs)</b> are marked as red (top 7) and black (top 3) dots, representing zones of maximal evolutionary turbulence and population vulnerability. These TEPs correlate with therapeutic failure hotspots, where immune escape constellations are most likely to emerge. Unlike tree-based or frequency-based tools, this visualization reveals the <i>spatial-temporal topology</i> of viral evolution not just what variants exist, but how they interact, persist, and transform over time.
DOI: 10.15468/dl.56gdju
title: Occurrence Download

description: A dataset containing 39 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Netherlands",
 "Geometry POLYGON((4.62915 51.7607,4.68734 51.77527,4.68948 51.78374,4.7351 51.79115,4.74528 51.82153,4.85991 51.81817,4.85169 51.83663,4.81011 51.8276,4.73753 51.83597,4.68838 51.84825,4.66561 51.87417,4.63684 51.87511,4.64744 51.85767,4.62613 51.85574,4.58627 51.81405,4.61991 51.7988,4.60314 51.78517,4.60581 51.77159,4.62915 51.7607))",
 "OccurrenceStatus is Present",
 "TaxonKey is Accipiter nisus",
 "Year 2024-2024"
 ]
}

 The dataset includes 39 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0065322-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30194890
title: <b>Explaining Spatially Heterogeneous Drivers of Urban Expansion with an XGBoost–SHAP–UGM Framework</b>

description: Urban expansion profoundly reshapes land systems and challenges the achievement of the Sustainable Development Goals (SDGs), yet the stage‑dependent and spatially heterogeneous mechanisms of this process remain insufficiently understood. This study proposes an integrated XGBoost–SHapley Additive exPlanations-Urban Growth Model (XGBoost-SHAP-UGM) framework to jointly simulate urban land conversion and interpret its driving forces at multiple scales. Using multi‑source data for Beijing, Wuhan and the Pearl River Delta (PRD) from 2000 to 2020, we first train an XGBoost classifier to estimate the probability of conversion from non‑urban to urban land based on natural, accessibility and socio‑economic factors. SHAP are then applied to quantify the contribution of each factor, revealing nonlinear and threshold effects across different stages of urbanization. Exploiting the raster nature of the data, we compute local SHAP values for every grid cell and aggregate them into three driver scores (natural, accessibility, socio‑economic). K‑means clustering in this SHAP‑score space yields a mechanism‑oriented classification of driver regimes, which explicitly maps the spatial heterogeneity of urban growth mechanisms. The resulting regimes (balanced high‑potential growth zones, ecologically constrained barrier zones, accessibility‑constrained zones, and socioeconomically constrained low‑demand zones) show consistent patterns across the three regions while reflecting their different urbanization stages. The probabilistic outputs of XGBoost are further incorporated into a UGM to simulate urban growth trajectories, with high predictive skill. The proposed framework advances explainable urban growth modelling by transforming black‑box predictions into interpretable, cell‑level mechanism maps, and provides a transferable tool for stage‑specific and spatially differentiated urban growth planning in support of the SDGs.
DOI: 10.6084/m9.figshare.30194890.v1
title: <b>Explaining Spatially Heterogeneous Drivers of Urban Expansion with an XGBoost–SHAP–UGM Framework</b>

description: Urban expansion profoundly reshapes land systems and challenges the achievement of the Sustainable Development Goals (SDGs), yet the stage‑dependent and spatially heterogeneous mechanisms of this process remain insufficiently understood. This study proposes an integrated XGBoost–SHapley Additive exPlanations-Urban Growth Model (XGBoost-SHAP-UGM) framework to jointly simulate urban land conversion and interpret its driving forces at multiple scales. Using multi‑source data for Beijing, Wuhan and the Pearl River Delta (PRD) from 2000 to 2020, we first train an XGBoost classifier to estimate the probability of conversion from non‑urban to urban land based on natural, accessibility and socio‑economic factors. SHAP are then applied to quantify the contribution of each factor, revealing nonlinear and threshold effects across different stages of urbanization. Exploiting the raster nature of the data, we compute local SHAP values for every grid cell and aggregate them into three driver scores (natural, accessibility, socio‑economic). K‑means clustering in this SHAP‑score space yields a mechanism‑oriented classification of driver regimes, which explicitly maps the spatial heterogeneity of urban growth mechanisms. The resulting regimes (balanced high‑potential growth zones, ecologically constrained barrier zones, accessibility‑constrained zones, and socioeconomically constrained low‑demand zones) show consistent patterns across the three regions while reflecting their different urbanization stages. The probabilistic outputs of XGBoost are further incorporated into a UGM to simulate urban growth trajectories, with high predictive skill. The proposed framework advances explainable urban growth modelling by transforming black‑box predictions into interpretable, cell‑level mechanism maps, and provides a transferable tool for stage‑specific and spatially differentiated urban growth planning in support of the SDGs.
DOI: 10.15468/ddau79
title: A new species of the cirripede genus Proverruca Withers, 1914 (Crustacea, Thoracica) from the upper Campanian (Upper Cretaceous) of northeastern Belgium

description: This dataset contains the digitized treatments in Plazi based on the original journal article Gale, Andrew S., Jagt, John W. M. (2025): A new species of the cirripede genus Proverruca Withers, 1914 (Crustacea, Thoracica) from the upper Campanian (Upper Cretaceous) of northeastern Belgium. Zootaxa 5583 (2): 383-390, DOI: 10.11646/zootaxa.5583.2.9, URL: https://doi.org/10.11646/zootaxa.5583.2.9AbstractA new species of the cirripede genus Proverruca, P. ornata sp. nov., is described from the lower upper Campanian (Belemnitella woodi belemnite Zone) Zeven Wegen Member (Gulpen Formation) at Haccourt, province of Liège, northeastern Belgium. It displays remarkable variation in external sculpture during ontogeny.
DOI: 10.5281/zenodo.18049741
title: Raw QMC Data for "Accurate Helium-Benzene Potential: from CCSD(T) to Gaussian Process Regression"

description: Quantum Monte Carlo data for helium solvation on a benzene molecule for "Accurate Helium-Benzene Potential: from CCSD(T) to Gaussian Process Regression"
DOI: 10.5281/zenodo.18049740
title: Raw QMC Data for "Accurate Helium-Benzene Potential: from CCSD(T) to Gaussian Process Regression"

description: Quantum Monte Carlo data for helium solvation on a benzene molecule for "Accurate Helium-Benzene Potential: from CCSD(T) to Gaussian Process Regression"
DOI: 10.15468/dl.ruzpuc
title: Occurrence Download

description: A dataset containing 1131 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "TaxonKey is Onychorhynchus swainsoni (Pelzeln, 1858)"
 ]
}

 The dataset includes 1131 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0008894-250402121839773/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.26528224
title: Distinct oligomeric assemblies of STING induced by non-nucleotide agonists

description: These are PDB and MRC files for the structures described in our manuscript.
DOI: 10.6084/m9.figshare.26528224.v1
title: Distinct oligomeric assemblies of STING induced by non-nucleotide agonists

description: These are PDB and MRC files for the structures described in our manuscript.
DOI: 10.6084/m9.figshare.27118077
title: A grid high spatial resolution dataset for takeaway packaging waste in China

description: TPWgrid-China is a high-resolution gridded dataset for annual packaging waste generation of online food delivery industry in China at a grid resolution of 1 km × 1 km. Seven takeaway packaging categories and their use probabilities were considered in the takeaway packaging waste generation estimation. This dataset could promote effective management of TPW, and support strategies to reduce municipal solid waste in accordance with the “Zero-waste City” program.
DOI: 10.15468/dl.w8pv3e
title: Occurrence Download

description: A dataset containing 225 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ensete livingstonianum (J.Kirk) Cheesman"
 ]
}

 The dataset includes 225 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040476-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.73ad25
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Althaea vranjensis Diklic & Nikolic"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002665-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.g0i0xh
title: Occurrence Download

description: A dataset containing 718 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Chrysophyllum mexicanum Brandegee",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 718 records from 46 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006046-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5r8x4
title: Occurrence Download

description: A dataset containing 1787 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Rosa roxburghii Tratt."
 ]
}

 The dataset includes 1787 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040488-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3hcwh
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Croton schimperianus Müll.Arg."
 ]
}

 The dataset includes 36 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010394-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2vzwhd
title: Occurrence Download

description: A dataset containing 945 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "TaxonKey is Tabebuia rosea (Bertol.) Bertero ex A.DC.",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 945 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006041-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5m7fb3
title: Occurrence Download

description: A dataset containing 54 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Ensete perrieri (Claverie) Cheesman"
 ]
}

 The dataset includes 54 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040480-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8yb9dn
title: Occurrence Download

description: A dataset containing 10203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Festuca muralis Kunth"
 ]
}

 The dataset includes 10203 records from 194 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000645-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mnjmmd
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "TaxonKey is Antithamnion densum (Suhr) M.A.Howe"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006042-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xru22x
title: Occurrence Download

description: A dataset containing 36 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Entada bacillaris F.White"
 ]
}

 The dataset includes 36 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040516-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wu85ut
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aloe bargalensis Lavranos"
 ]
}

 The dataset includes 5 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002593-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y9bgzd
title: Occurrence Download

description: A dataset containing 111 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "or" : [
 "Locality is sanguare (9,705, -75,682)",
 "Locality is sanguaré, co (9,705, -75,682)"
 ]
 },
 "Country is Colombia"
 ]
}

 The dataset includes 111 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006062-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pw5c8z
title: Occurrence Download

description: A dataset containing 6284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Elatine triandra Schkuhr"
 ]
}

 The dataset includes 6284 records from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040529-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qavvf2
title: Occurrence Download

description: A dataset containing 1061 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is India",
 "TaxonKey is Sus scrofa Linnaeus, 1758"
 ]
}

 The dataset includes 1061 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002587-240229165702484/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rley49
title: Occurrence Download

description: A dataset containing 18650 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Country is Turks and Caicos Islands",
 {
 "or" : [
 "Issue is Coordinate rounded",
 "Issue is Geodetic datum assumed WGS84",
 "Issue is Coordinate reprojected",
 "Issue is Country derived from coordinates"
 ]
 },
 "TaxonKey is Aves"
 ]
}

 The dataset includes 18650 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006059-190918142434337/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gkgbyn
title: Occurrence Download

description: A dataset containing 94 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Entada glandulosa Pierre ex Gagnep."
 ]
}

 The dataset includes 94 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0040550-240314170635999/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0193490.10fu
title: SH0193490.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193491.10fu
title: SH0193491.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193492.10fu
title: SH0193492.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193493.10fu
title: SH0193493.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh0193494.10fu
title: SH0193494.10FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.