cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.34770/5hgn-5684
title: Dataset for "Stability and Characteristics of Lower-Hybrid Drift Waves: Dependence on Electron Beta and Cross-Field Relative Drift"

description: The dataset associated with this study consists of numerical solutions of
 the local linear dispersion relation for lower-hybrid drift waves and
 derived quasi-linear saturation estimates. It includes computed wave
 frequencies, growth rates, propagation angles, and characteristic
 wavenumbers over a two-dimensional parameter space spanned by electron
 beta and normalized perpendicular electron drift velocity (normalized to
 the ion sound speed). These data are used to generate five figures in the
 manuscript: (1) benchmark comparisons between classical and
 electromagnetic formulations of the dispersion relation, (2)
 two-dimensional stability maps illustrating the transition from
 electrostatic to electromagnetic regimes, (3) parameter scans identifying
 the dominant control parameters for LHDW stability, (4) maps of the most
 unstable mode properties as functions of electron beta and normalized
 perpendicular electron drift velocity, and (5) quasi-linear estimates of
 saturation properties, including normalized electric and magnetic energy
 fractions, field amplitudes, and polarization ratios. All quantities are
 derived from self-consistent linear solutions and post-processed using the
 same reference plasma parameters described in the manuscript.
DOI: 10.15468/dl.jwbt56
title: Occurrence Download

description: A dataset containing 1439 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Colubrina asiatica",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 1439 records from 84 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005214-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4vu2pf
title: Occurrence Download

description: A dataset containing 14935 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chinese Taipei",
 "OccurrenceStatus is Present",
 "TaxonKey is Pieridae",
 "Year 2013-2025"
 ]
}

 The dataset includes 14935 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005213-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/3drb3z
title: Genebank, National Institute of Agrobiological Sciences

description: Genebank, National Institute of Agrobiological Sciences
DOI: 10.15468/dl.zt9244
title: Occurrence Download

description: A dataset containing 16 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "GadmGid is CHN.26_1",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Rhodiola tangutica"
 ]
}

 The dataset includes 16 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005215-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18410479
title: DATA DRIVEN GOVERNANCE OF DIGITAL COMMERCE PLATFROM: THE ROLE OF AUGMENTED REALITY IN ENHANCING CONSUMER DECISION QUALITY

description: Digital commerce platforms increasingly rely on data-driven governance mechanisms to guide consumer decision-making, particularly for high-involvement products such as furniture. The absence of physical interaction in online environments often leads to uncertainty, reduced trust, and lower conversion rates. Augmented Reality (AR) has emerged as an intelligent decision-support system that enhances information transparency, decision accuracy, and user confidence by enabling realistic product visualization in real-world contexts. This study investigates how AR capabilities—interactivity, vividness, novelty, system quality, and product informativeness—affect user satisfaction, continuance intention, and purchase intention in online furniture shopping. Using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, data were collected from 212 respondents with prior experience using AR features in e-commerce platforms. The results indicate that system quality, interactivity, and product informativeness have a significant positive effect on user satisfaction, which subsequently drives continuance intention and purchase intention, while vividness and novelty show no significant impact. From a data-driven governance perspective, these findings demonstrate how AR functions as a soft governance mechanism embedded within digital platforms by structuring data quality, information reliability, and system performance to guide consumer behavior. Furthermore, the study contributes to the Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure) and SDG 12 (Responsible Consumption and Production), by highlighting how data-driven AR systems promote informed consumption, reduce decision uncertainty, and support sustainable digital commerce practices. Practically, the study provides insights for platform designers and policymakers on leveraging AR-enabled data governance to enhance consumer trust, decision quality, and long-term platform sustainability.
DOI: 10.5281/zenodo.18410480
title: DATA DRIVEN GOVERNANCE OF DIGITAL COMMERCE PLATFROM: THE ROLE OF AUGMENTED REALITY IN ENHANCING CONSUMER DECISION QUALITY

description: Digital commerce platforms increasingly rely on data-driven governance mechanisms to guide consumer decision-making, particularly for high-involvement products such as furniture. The absence of physical interaction in online environments often leads to uncertainty, reduced trust, and lower conversion rates. Augmented Reality (AR) has emerged as an intelligent decision-support system that enhances information transparency, decision accuracy, and user confidence by enabling realistic product visualization in real-world contexts. This study investigates how AR capabilities—interactivity, vividness, novelty, system quality, and product informativeness—affect user satisfaction, continuance intention, and purchase intention in online furniture shopping. Using a Partial Least Squares Structural Equation Modeling (PLS-SEM) approach, data were collected from 212 respondents with prior experience using AR features in e-commerce platforms. The results indicate that system quality, interactivity, and product informativeness have a significant positive effect on user satisfaction, which subsequently drives continuance intention and purchase intention, while vividness and novelty show no significant impact. From a data-driven governance perspective, these findings demonstrate how AR functions as a soft governance mechanism embedded within digital platforms by structuring data quality, information reliability, and system performance to guide consumer behavior. Furthermore, the study contributes to the Sustainable Development Goals (SDGs), particularly SDG 9 (Industry, Innovation, and Infrastructure) and SDG 12 (Responsible Consumption and Production), by highlighting how data-driven AR systems promote informed consumption, reduce decision uncertainty, and support sustainable digital commerce practices. Practically, the study provides insights for platform designers and policymakers on leveraging AR-enabled data governance to enhance consumer trust, decision quality, and long-term platform sustainability.
DOI: 10.5281/zenodo.18410360
title: Placozoan microbiomes reveal evolutionary trajectories towards mutualism among the largely parasitic Rickettsiales (additional data)
DOI: 10.5281/zenodo.18410361
title: Placozoan microbiomes reveal evolutionary trajectories towards mutualism among the largely parasitic Rickettsiales (additional data)
DOI: 10.15468/rnr66q
title: Plant Specimen Database of Tama Forest Science Garden, Forestry and Forest Products Research Institute, Japan

description: Database of beetle specimens preserved in the National Institute for Agro-Environmental Sciences (NIAES)
DOI: 10.15468/dl.5mqpnt
title: Occurrence Download

description: A dataset containing 17040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.79249 48.52763,22.91749 48.47636,23.01867 48.42109,23.26866 48.3539,23.65554 48.72041,23.13176 48.94374,22.79249 48.52763))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17040 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005216-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qk2juy
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "TaxonKey is Acarospora stapfiana"
 ]
}

 The dataset includes 168 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005217-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5517/ccdc.csd.cc2m5xrh
title: CCDC 2418767: Experimental Crystal Structure Determination

description: Related Article: Kishor R. Thete, Akram A. Khan|2025|CSD Communication|||
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: 10.6084/m9.figshare.31179091
title: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.

description: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.
DOI: 10.6084/m9.figshare.31179091.v1
title: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.

description: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.
DOI: 10.15468/dl.aghde2
title: Occurrence Download

description: A dataset containing 4772 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenobita compressus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 4772 records from 28 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005218-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15253936
title: Supplementary materials for "First genome sequences of the dinoflagellate Effrenium voratum strain isolated from the coral Hydnophora exesa in temperate Japanese region"

description: Objectives

Dinoflagellates are important unicellular eukaryotes found in freshwater and marine environments. The Family Symbiodiniaceae is well-known as symbiotic algae in various marine organisms, including many endosymbiotic species living in cnidarian cells. In contrast, the genus Effrenium is non-symbiotic, exhibiting traits such as resting cyst formation and the absence of heterotrophic feeding.  Effrenium strains have been used as controls in symbiosis-related comparative studies. The only described species, E. voratum, is cosmopolitan, and draft genomes of three strains have been reported. However, genomic data from strains originating in temperate Japanese regions are lacking. A high-quality draft genome of an additional E. voratum strain will provide valuable resources for molecular biology of symbiosis and comparative genomics on local adaptation in Symbiodiniaceae.

Data description

We describe the first draft genome (version 1) of E. voratum strain NIES-2908, which was isolated from the coral Hydnophora exesa in the temperate Japanese coastal water of Goto islands, Japan. Using PacBio HiFi sequencing, the genome was assembled to a total size of 1,006 Mbp, comprising 6,051 contigs. The GC content was 50.5%, and repetitive sequences accounted for 37.9% of the genome. Gene prediction identified 54,346 protein-coding genes, with 68.4% completeness based on the BUSCO alveolate dataset.

 

This project contains gene models for E. voratum (NIES-2908 strain) genome assemblies annotated in this study as listed below:



coding sequences (cds.fa)

the longest coding sequence per gene (longest.cds.fa)

protein sequences (protein.fa)

the longest protein sequence per gene (longest.protein.fa)

gene annotations in GTF format (.gtf)


We also provide supplementary materials for the manuscript.



Supplementary Figure S1 (schematic overview of the genome assembly and gene annotation workflow)

Supplementary Figure S2 (genome size estimation)

Supplementary Figure S3 (molecular phylogenetic tree based on 18S rRNA)

Supplementary Tables (information for raw data, proteomes used for gene annotation, and genome/gene models statistics)


The raw reads are available in BioProject accession PRJDB20335. The draft genome sequences are available under accession BAAHJL010000001-BAAHJL010006051. Contig.acclist.txt is the correspondence table.
DOI: 10.5281/zenodo.15253937
title: Supplementary materials for "First genome sequences of the dinoflagellate Effrenium voratum strain isolated from the coral Hydnophora exesa in temperate Japanese region"

description: Objectives

Dinoflagellates are important unicellular eukaryotes found in freshwater and marine environments. The Family Symbiodiniaceae is well-known as symbiotic algae in various marine organisms, including many endosymbiotic species living in cnidarian cells. In contrast, the genus Effrenium is non-symbiotic, exhibiting traits such as resting cyst formation and the absence of heterotrophic feeding.  Effrenium strains have been used as controls in symbiosis-related comparative studies. The only described species, E. voratum, is cosmopolitan, and draft genomes of three strains have been reported. However, genomic data from strains originating in temperate Japanese regions are lacking. A high-quality draft genome of an additional E. voratum strain will provide valuable resources for molecular biology of symbiosis and comparative genomics on local adaptation in Symbiodiniaceae.

Data description

We describe the first draft genome (version 1) of E. voratum strain NIES-2908, which was isolated from the coral Hydnophora exesa in the temperate Japanese coastal water of Goto islands, Japan. Using PacBio HiFi sequencing, the genome was assembled to a total size of 1,006 Mbp, comprising 6,051 contigs. The GC content was 50.5%, and repetitive sequences accounted for 37.9% of the genome. Gene prediction identified 54,346 protein-coding genes, with 68.4% completeness based on the BUSCO alveolate dataset.

 

This project contains gene models for E. voratum (NIES-2908 strain) genome assemblies annotated in this study as listed below:



coding sequences (cds.fa)

the longest coding sequence per gene (longest.cds.fa)

protein sequences (protein.fa)

the longest protein sequence per gene (longest.protein.fa)

gene annotations in GTF format (.gtf)


We also provide supplementary materials for the manuscript.



Supplementary Figure S1 (schematic overview of the genome assembly and gene annotation workflow)

Supplementary Figure S2 (genome size estimation)

Supplementary Figure S3 (molecular phylogenetic tree based on 18S rRNA)

Supplementary Tables (information for raw data, proteomes used for gene annotation, and genome/gene models statistics)


The raw reads are available in BioProject accession PRJDB20335. The draft genome sequences are available under accession BAAHJL010000001-BAAHJL010006051. Contig.acclist.txt is the correspondence table.
DOI: 10.15468/dl.bf2bst
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenobita longitarsis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005220-260126135527185/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.31175590
title: Supporting data for: Oxymatrine ameliorates MAFLD via CCMC pathway

description: This entry contains the supporting data for the manuscript titled "Oxymatrine ameliorates metabolic-associated fatty liver disease by targeting the p-MTOR/PIK3CA/LDHB axis in the Central Carbon Metabolism in Cancer pathway". The data are available from the corresponding author upon reasonable request.
DOI: 10.6084/m9.figshare.31175590.v1
title: Supporting data for: Oxymatrine ameliorates MAFLD via CCMC pathway

description: This entry contains the supporting data for the manuscript titled "Oxymatrine ameliorates metabolic-associated fatty liver disease by targeting the p-MTOR/PIK3CA/LDHB axis in the Central Carbon Metabolism in Cancer pathway". The data are available from the corresponding author upon reasonable request.
DOI: 10.5281/zenodo.18410599
title: Paleo-Saltwater Dominates Coastal Aquifer Salinization: A Continental-Scale Study in China
DOI: 10.5281/zenodo.18410598
title: Paleo-Saltwater Dominates Coastal Aquifer Salinization: A Continental-Scale Study in China
DOI: 10.15468/dl.4fdf6m
title: Occurrence Download

description: A dataset containing 17040 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((22.79249 48.52763,22.91749 48.47636,23.01867 48.42109,23.26866 48.3539,23.65554 48.72041,23.13176 48.94374,22.79249 48.52763))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 17040 records from 123 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005222-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.71726/uwi01k7p
title: Lower Swan Canning Estuary to Upper Swan Estuary Water Quality Monitoring 2019-20

description: The Department of Biodiversity, Conservation and Attractions (DBCA) conducts routine monitoring of water quality in the Swan Canning Estuary. Data collected through the monitoring program is used to inform management of the river system by DBCA.

Data produced through the monitoring program provides essential information to assess system response to management actions and to report against estuary water quality targets, and phytoplankton trigger levels. Data produced have also been utilised in numerous investigations conducted by both government agencies and tertiary institutions, including modelling, that contribute to our understanding of estuary condition and response and that evaluate potential impacts on the system into the future.

Data collected is stored in the Water Information Network (WIN) database maintained by the Department of Water and Environmental Regulation (DWER) and is made publicly available via the Water Information Reporting (WIR) portal.
DOI: 10.15468/dl.3wu9ch
title: Occurrence Download

description: A dataset containing 290 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenobita purpureus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 290 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005224-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m8kr8m
title: Occurrence Download

description: A dataset containing 3462 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Pterocarpus indicus"
 ]
}

 The dataset includes 3462 records from 143 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005223-260126135527185/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.31179310
title: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.

description: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.
DOI: 10.6084/m9.figshare.31179310.v1
title: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.

description: Core data files for the phylogenetic analysis of <i>Gibbosula rochechouartii</i>.
DOI: 10.15468/dl.p24njx
title: Occurrence Download

description: A dataset containing 5 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coenobita pseudorugosus",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 5 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005225-260126135527185/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17901553
title: Quantifying polydopamine shell hydration in core–shell colloids by analytical ultracentrifugation: Implications for self-assembly and structural color of photonic crystals (Data)

description: This is the raw and processed data for the main manuscript and supporting information:

Quantifying polydopamine shell hydration in core–shell colloids by analytical ultracentrifugation: Implications for self-assembly and structural color of photonic crystals

A readme file containing all descriptions can be found in the main folder. All data are sorted according to their appearance in the figures of the main manuscript and supporting information.

Abstract:

Polystyrene–polydopamine (PS@PDA) core–shell particles are widely used as building blocks to form colloidal photonic crystals with tunable light absorption. Increasing the PDA shell thickness typically leads to more saturated colors but also diminishes the structural order of the resulting assemblies. To understand this phenomenon, we correlate particle properties in solution with the structural properties of the formed colloidal crystals. In particular, we focus on correlating the water swellability of the PDA shell with the agglomeration behavior upon drying. To this end, we combine density variation sedimentation velocity (SV) and buoyant density gradient equilibrium (DGE) experiments in analytical ultracentrifugation (AUC) to quantify the hydration of the PDA shell. Density variation SV-AUC in H2O–D2O mixtures yields the particle’s anhydrous density, while DGE-AUC, using an in situ formed sucrose gradient, reveals the buoyant density at the isopycnic position in the measurement cell. Mass balance analysis then enables quantification of the water mass incorporated within the PDA shell. These combined experiments show that PDA shell hydration generally increases with shell thickness and depends on the reaction parameters chosen for the shell formation process. The structural order and photonic properties of colloidal crystals formed from the different PS@PDA particles decrease with increasing shell thickness, indicating that more swollen shells promote aggregation during self-assembly and thus disturb structural order. Advanced AUC experiments therefore provide access to key physicochemical characteristics of functional colloids and establish valuable process–structure–property relations for the design of colloidal photonic crystals.