cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.h7wwrw
title: Occurrence Download

description: A dataset containing 3363 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Asia",
 "Country is one of (China, Mongolia)",
 "DatasetKey is EOD – eBird Observation Dataset",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Issue is Continent derived from coordinates",
 "OccurrenceStatus is Present",
 "TaxonKey is Anser cygnoides",
 "Year 2021-2023"
 ]
}

 The dataset includes 3363 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069044-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18093097
title: CRVD: Reactive Continuity of Space (Appendix & Pre‑Formalism)

description: Pre‑Mathematical / Pre‑Formal Framework This section outlines the foundational concepts prior to the full development of the governing differential equations, focusing on the topological and reactive prerequisites for stable configurations.
DOI: 10.5281/zenodo.18093098
title: CRVD: Reactive Continuity of Space (Appendix & Pre‑Formalism)

description: Pre‑Mathematical / Pre‑Formal Framework This section outlines the foundational concepts prior to the full development of the governing differential equations, focusing on the topological and reactive prerequisites for stable configurations.
DOI: 10.15468/dl.n3n22k
title: Occurrence Download

description: A dataset containing 88 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Viet Nam, Lao People’s Democratic Republic, China, Cambodia)",
 "OccurrenceStatus is Present",
 "TaxonKey is Myotis muricola",
 "Year 1993-2025"
 ]
}

 The dataset includes 88 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069046-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/i3dogu
title: Lattice control of non-ergodicity in a polar lattice gas - research data

description: DATASET contains figures of the published article in .pgn format
DOI: 10.34740/kaggle/dsv/14340852
title: Forex Exchange Rates Since 2004 (Updated Daily)
DOI: 10.15468/dl.g5vc99
title: Occurrence Download

description: A dataset containing 46481 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Ficus"
 ]
}

 The dataset includes 46481 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069048-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.f68wt3
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Asia",
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Potamogeton gramineus",
 "Year 1000-2025"
 ]
}

 The dataset includes 34 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0069049-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57903/uj/o8on2f
title: Mechanisms responsible for the ubiquity of cyanobacterium Raphidiopsis raciborskii – is photosynthetic apparatus a key player? - numerical data

description: Manuscript
DOI: 10.6084/m9.figshare.30818839
title: Comparative effects of four cooking methods on volatile flavor compounds and quality attributes of goose meat

description: This study evaluated the effects of four cooking methods (boiling, microwave heating, steam-assisted baking, and sous-vide) on the physicochemical quality and volatile profile of goose meat. Sous-vide (SV) cooking exhibited the lowest chewiness (19.12 mJ) and cooking loss (20.71%), along with a distinct color profile. Boiling resulted in the highest lipid oxidation (1.92 mg MDA/kg), but retained the highest level of essential amino acids (92.72 mg/g). GC-IMS analysis identified 56 volatile compounds, with aldehydes being predominant. 1-hexanal-D and ethyl heptanoate were identified as key discriminant markers for SV-cooked samples, whereas 4-methylthiazole were associated with the other cooking methods based on ROAV. Multivariate statistical analysis differentiated the flavor profiles among all treatments. These results indicate that sous-vide is a promising alternative to conventional cooking methods for producing goose meat with superior tenderness and a unique volatile profile. However, further sensory validation is recommended to confirm consumer acceptability before widespread industrial application.
DOI: 10.6084/m9.figshare.30818839.v1
title: Comparative effects of four cooking methods on volatile flavor compounds and quality attributes of goose meat

description: This study evaluated the effects of four cooking methods (boiling, microwave heating, steam-assisted baking, and sous-vide) on the physicochemical quality and volatile profile of goose meat. Sous-vide (SV) cooking exhibited the lowest chewiness (19.12 mJ) and cooking loss (20.71%), along with a distinct color profile. Boiling resulted in the highest lipid oxidation (1.92 mg MDA/kg), but retained the highest level of essential amino acids (92.72 mg/g). GC-IMS analysis identified 56 volatile compounds, with aldehydes being predominant. 1-hexanal-D and ethyl heptanoate were identified as key discriminant markers for SV-cooked samples, whereas 4-methylthiazole were associated with the other cooking methods based on ROAV. Multivariate statistical analysis differentiated the flavor profiles among all treatments. These results indicate that sous-vide is a promising alternative to conventional cooking methods for producing goose meat with superior tenderness and a unique volatile profile. However, further sensory validation is recommended to confirm consumer acceptability before widespread industrial application.
DOI: 10.6084/m9.figshare.28776778
title: The impact of nutrition labels on frozen food health awareness and purchase intention among Central Taiwanese consumers

description: Overweight and obesity are recognized globally as an epidemic with serious consequences for adult health. This study uses Front of Package (FOP) Nutrition Labeling to investigate consumers’ health awareness and purchase intention. This study surveyed 631 participants to evaluate healthiness, purchase intention, and label attention of four types of labels on food packaging: (a) No label (NL), (b) Guideline daily amounts (GDA), (c) Traffic light system (TLS), and (d) Warning label (WL). The results found that: (1) GDA and TLS labels can effectively enhance consumers’ health awareness. (2) The black warning system label does not provide effective health tips and attention. (3) Consumers who frequently purchase food have low health awareness. (4) Unprocessed food increases health awareness but does not necessarily increase consumption intention. The results are expected to provide guidance for food vendors and packaging designers to effectively improve consumers’ health awareness levels.
DOI: 10.6084/m9.figshare.28776778.v1
title: The impact of nutrition labels on frozen food health awareness and purchase intention among Central Taiwanese consumers

description: Overweight and obesity are recognized globally as an epidemic with serious consequences for adult health. This study uses Front of Package (FOP) Nutrition Labeling to investigate consumers’ health awareness and purchase intention. This study surveyed 631 participants to evaluate healthiness, purchase intention, and label attention of four types of labels on food packaging: (a) No label (NL), (b) Guideline daily amounts (GDA), (c) Traffic light system (TLS), and (d) Warning label (WL). The results found that: (1) GDA and TLS labels can effectively enhance consumers’ health awareness. (2) The black warning system label does not provide effective health tips and attention. (3) Consumers who frequently purchase food have low health awareness. (4) Unprocessed food increases health awareness but does not necessarily increase consumption intention. The results are expected to provide guidance for food vendors and packaging designers to effectively improve consumers’ health awareness levels.
DOI: 10.6084/m9.figshare.28344615
title: Determination of NAD+ precursors nicotinamide mononucleotide (NMN) and nicotinamide riboside (NR) in plant foods: exploring dietary sources

description: NAD+ is vital for all living organisms, playing key roles in redox reactions and cellular signaling. Understanding the levels of its biosynthetic precursors, NMN and NR, in foods is essential for assessing their dietary contributions to human nutrition and health. We conducted a comprehensive analysis of NMN, NR, and NAD+ levels for the first time in various common plant foods and non-conventional food plants from the Amazon, using a validated HPLC-DAD/UV method, further confirmed by LC-MS/MS. NMN concentrations ranged from 40 to 13,000 µg per 100 g of fresh weight, while the NR levels varied from 62 to 1,600 µg per 100 g. Broccoli and green beans were identified as rich sources of NMN, whereas wild chicory, banana, and orange had the highest NR content. This study enhances our understanding of how to optimize NAD+ levels through dietary sources and advances knowledge in food science and nutrition.
DOI: 10.6084/m9.figshare.28344615.v1
title: Determination of NAD+ precursors nicotinamide mononucleotide (NMN) and nicotinamide riboside (NR) in plant foods: exploring dietary sources

description: NAD+ is vital for all living organisms, playing key roles in redox reactions and cellular signaling. Understanding the levels of its biosynthetic precursors, NMN and NR, in foods is essential for assessing their dietary contributions to human nutrition and health. We conducted a comprehensive analysis of NMN, NR, and NAD+ levels for the first time in various common plant foods and non-conventional food plants from the Amazon, using a validated HPLC-DAD/UV method, further confirmed by LC-MS/MS. NMN concentrations ranged from 40 to 13,000 µg per 100 g of fresh weight, while the NR levels varied from 62 to 1,600 µg per 100 g. Broccoli and green beans were identified as rich sources of NMN, whereas wild chicory, banana, and orange had the highest NR content. This study enhances our understanding of how to optimize NAD+ levels through dietary sources and advances knowledge in food science and nutrition.
DOI: 10.6084/m9.figshare.30304906
title: Multidimensional β-diversity responses to global change: a meta-analysis highlighting divergent effects on plant communities

description: This dataset compiles the global plant community data and associated meta-information used in the meta-analysis for the study entitled "Multidimensional β-diversity responses to global change: a meta-analysis highlighting divergent effects on plant communities".
DOI: 10.6084/m9.figshare.30304906.v1
title: Multidimensional β-diversity responses to global change: a meta-analysis highlighting divergent effects on plant communities

description: This dataset compiles the global plant community data and associated meta-information used in the meta-analysis for the study entitled "Multidimensional β-diversity responses to global change: a meta-analysis highlighting divergent effects on plant communities".
DOI: 10.6084/m9.figshare.23788170
title: TRIM37–PARP1–TET1 axis maintains stemness and prevents osteoporosis by inhibiting DNMT1 alternative splicing via 5hmC regulation

description: The significance of DNA hydroxymethylation in stemness remains unknown. Here, we demonstrate 5hmC levels positively regulate mesenchymal stem cell (MSC) properties. Mechanistically, PARP1 recruits TET1 to hydrolyze methylated nucleotides on DNMT1 exons, helping CTCF to bind to exons and prevent DNMT1 alternative splicing in early MSCs. Furthermore, ATM phosphorylates TRIM37 at Th203 and promotes its entry into the nucleus, as well as the monoubiquitination of PARP1, thereby stabilizing the PARP1 protein. CTCF or TRIM37 knockdown induces replicative senescence of MSCs with loss of full-length DNMT1, while simultaneous treatment of MSCs during expansion with ATM activators, such as resveratrol, and TET1 activator, vitamin C, induces the rejuvenation of late MSCs through the TRIM37/PARP1/DNMT1 pathway. Through gene knockout, TRIM37 and PARP1 are shown to be involved in MSC aging and bone repair in vivo. This study highlights the role of DNA hydroxymethylation and its regulators in stemness, offering strategies for therapeutic interventions.
DOI: 10.6084/m9.figshare.23788170.v1
title: TRIM37–PARP1–TET1 axis maintains stemness and prevents osteoporosis by inhibiting DNMT1 alternative splicing via 5hmC regulation

description: The significance of DNA hydroxymethylation in stemness remains unknown. Here, we demonstrate 5hmC levels positively regulate mesenchymal stem cell (MSC) properties. Mechanistically, PARP1 recruits TET1 to hydrolyze methylated nucleotides on DNMT1 exons, helping CTCF to bind to exons and prevent DNMT1 alternative splicing in early MSCs. Furthermore, ATM phosphorylates TRIM37 at Th203 and promotes its entry into the nucleus, as well as the monoubiquitination of PARP1, thereby stabilizing the PARP1 protein. CTCF or TRIM37 knockdown induces replicative senescence of MSCs with loss of full-length DNMT1, while simultaneous treatment of MSCs during expansion with ATM activators, such as resveratrol, and TET1 activator, vitamin C, induces the rejuvenation of late MSCs through the TRIM37/PARP1/DNMT1 pathway. Through gene knockout, TRIM37 and PARP1 are shown to be involved in MSC aging and bone repair in vivo. This study highlights the role of DNA hydroxymethylation and its regulators in stemness, offering strategies for therapeutic interventions.
DOI: 10.6084/m9.figshare.27044356
title: Generalizable Morphological Profiling of Cells by Interpretable Unsupervised Learning

description: The intersection of advanced microscopy and machine learning is transforming the field of cell biology, enabling a more quantitative and data-driven approach. Traditional methods of morphological profiling, which rely on manual feature extraction, are often time-consuming, labor-intensive, and susceptible to human bias. Deep learning offers a promising alternative, but its effectiveness is hindered by its "black-box" operation and its dependence on extensive labeled data. MorphoGenie addresses these challenges by introducing an unsupervised deep-learning framework for single-cell morphological profiling. By integrating high-fidelity image reconstructions with disentangled representation learning, MorphoGenie facilitates discovery of a compact, interpretable latent space. This allows for the extraction of biologically meaningful features without human annotation, overcoming the "curse of dimensionality" inherent in manual methods. MorphoGenie stands out in three key attributes: High-fidelity Image Reconstruction: MorphoGenie utilizes a hybrid architecture that capitalizes on the unparalleled strengths of the variant of variational Autoencoders (VAEs) and generative Adversarial Networks (GANs) to achieve interpretable, high-quality cell image generation. Interpretability: MorphoGenie adopts a VAE-based method to learn a compact, interpretable, and transferable disentangled representation for single-cell morphological analysis. In contrast to the prior work, we propose a novel technique for interpreting the learned representation by extracting handcrafted features from reconstructed images produced by latent traversals, facilitating the discovery of biologically meaningful inferences, especially the heterogeneities of cell types and lineages. Generalizability: MorphoGenie is widely adaptable across various imaging modalities and experimental conditions, promoting cross-study comparisons and reusable morphological profiling results. The model generalizes to unseen single-cell datasets and different imaging modalities while providing explanations for its predictions. Overall, MorphoGenie could spearhead new strategies for conducting comprehensive morphological profiling and make biologically meaningful discoveries across a wide range of imaging modality.
DOI: 10.6084/m9.figshare.27044356.v1
title: Generalizable Morphological Profiling of Cells by Interpretable Unsupervised Learning

description: The intersection of advanced microscopy and machine learning is transforming the field of cell biology, enabling a more quantitative and data-driven approach. Traditional methods of morphological profiling, which rely on manual feature extraction, are often time-consuming, labor-intensive, and susceptible to human bias. Deep learning offers a promising alternative, but its effectiveness is hindered by its "black-box" operation and its dependence on extensive labeled data. MorphoGenie addresses these challenges by introducing an unsupervised deep-learning framework for single-cell morphological profiling. By integrating high-fidelity image reconstructions with disentangled representation learning, MorphoGenie facilitates discovery of a compact, interpretable latent space. This allows for the extraction of biologically meaningful features without human annotation, overcoming the "curse of dimensionality" inherent in manual methods. MorphoGenie stands out in three key attributes: High-fidelity Image Reconstruction: MorphoGenie utilizes a hybrid architecture that capitalizes on the unparalleled strengths of the variant of variational Autoencoders (VAEs) and generative Adversarial Networks (GANs) to achieve interpretable, high-quality cell image generation. Interpretability: MorphoGenie adopts a VAE-based method to learn a compact, interpretable, and transferable disentangled representation for single-cell morphological analysis. In contrast to the prior work, we propose a novel technique for interpreting the learned representation by extracting handcrafted features from reconstructed images produced by latent traversals, facilitating the discovery of biologically meaningful inferences, especially the heterogeneities of cell types and lineages. Generalizability: MorphoGenie is widely adaptable across various imaging modalities and experimental conditions, promoting cross-study comparisons and reusable morphological profiling results. The model generalizes to unseen single-cell datasets and different imaging modalities while providing explanations for its predictions. Overall, MorphoGenie could spearhead new strategies for conducting comprehensive morphological profiling and make biologically meaningful discoveries across a wide range of imaging modality.
DOI: 10.5281/zenodo.18093146
title: Mathematical Appendix: Geometric Origin of Quantum Relations in CRVD

description: The fundamental relations of quantum mechanics—the Canonical Commutation Relations and the Energy–Time Uncertainty Relation—are not postulated but are mathematically derived consequences of the Reactive Spatial Continuity (RSC) inherent to the geometric structure of spacetime within the CRVD framework. They arise specifically from imposing consistency requirements on the propagation of volumetric stress across infinitesimal, non-zero separations in space and time, reflecting the deep-seated geometric asymmetry of the foundational medium.
DOI: 10.5281/zenodo.18093145
title: Mathematical Appendix: Geometric Origin of Quantum Relations in CRVD

description: The fundamental relations of quantum mechanics—the Canonical Commutation Relations and the Energy–Time Uncertainty Relation—are not postulated but are mathematically derived consequences of the Reactive Spatial Continuity (RSC) inherent to the geometric structure of spacetime within the CRVD framework. They arise specifically from imposing consistency requirements on the propagation of volumetric stress across infinitesimal, non-zero separations in space and time, reflecting the deep-seated geometric asymmetry of the foundational medium.
DOI: 10.6084/m9.figshare.27282615
title: Charge Transfer at the Plasmon-Molecule Interfaces Controls the Collective Chiroptical Responses

description: Proton and carbon NMR of BDP1, BDP2 and BDP3.
DOI: 10.6084/m9.figshare.27282615.v1
title: Charge Transfer at the Plasmon-Molecule Interfaces Controls the Collective Chiroptical Responses

description: Proton and carbon NMR of BDP1, BDP2 and BDP3.
DOI: 10.6084/m9.figshare.30279262
title: Flow-Synchronized Ring-shaped Electrochemical Ion Pumping for Redox-Free Desalination without Terminal Electrodes

description: data for figures in main text and SI
DOI: 10.6084/m9.figshare.30279262.v1
title: Flow-Synchronized Ring-shaped Electrochemical Ion Pumping for Redox-Free Desalination without Terminal Electrodes

description: data for figures in main text and SI
DOI: 10.6084/m9.figshare.29299352
title: <b>A global viromic survey reveals unprecedented viral diversity within ammonium-oxidizing archaea and related lineages</b>

description: The supplementary datasets and extended data of "<b>A global viromic survey reveals unprecedented viral diversity within ammonium-oxidizing archaea and related lineages</b>" (https://www.biorxiv.org/content/10.1101/2025.08.23.671958):Extended DataData 1. The Bayesian and Maximum-likelihood tree of major capsid proteins encoded by<i> </i><i>Nitrososphaeria</i>-associated viruses.Data 2. The structural predication of SIRV2-like capsid proteins from AlphaFold2.Data 3. The structural predication of HK97-like capsid proteins from AlphaFold2.Data 4 The <i>Nitrososphaeria</i>-associated CRISPR spacers sequences, which were predicted from MinCED and CRASS.Data 5. The Maximum-likelihood tree of proteins that were potentially involved in horizontal gene transfers (HGTs). These trees were used to determine HGT events based on their topologies.Data 6. The Maximum-likelihood tree of UbiG and ArsR proteins encoded by <i>Nitrososphaeria</i>-associated viruses and cellular organisms.<br>
DOI: 10.6084/m9.figshare.29299352.v4
title: <b>A global viromic survey reveals unprecedented viral diversity within ammonium-oxidizing archaea and related lineages</b>

description: The supplementary datasets and extended data of "<b>A global viromic survey reveals unprecedented viral diversity within ammonium-oxidizing archaea and related lineages</b>" (https://www.biorxiv.org/content/10.1101/2025.08.23.671958):Extended DataData 1. The Bayesian and Maximum-likelihood tree of major capsid proteins encoded by<i> </i><i>Nitrososphaeria</i>-associated viruses.Data 2. The structural predication of SIRV2-like capsid proteins from AlphaFold2.Data 3. The structural predication of HK97-like capsid proteins from AlphaFold2.Data 4 The <i>Nitrososphaeria</i>-associated CRISPR spacers sequences, which were predicted from MinCED and CRASS.Data 5. The Maximum-likelihood tree of proteins that were potentially involved in horizontal gene transfers (HGTs). These trees were used to determine HGT events based on their topologies.Data 6. The Maximum-likelihood tree of UbiG and ArsR proteins encoded by <i>Nitrososphaeria</i>-associated viruses and cellular organisms.<br>
DOI: 10.6084/m9.figshare.27278127
title: Supplemental Data for Chen et al.

description: Supplemental Data for "A near telomere-to-telomere genome of <i>Phellodendron amurense</i> reveals insights into berberine biosynthesis".
DOI: 10.6084/m9.figshare.27278127.v1
title: Supplemental Data for Chen et al.

description: Supplemental Data for "A near telomere-to-telomere genome of <i>Phellodendron amurense</i> reveals insights into berberine biosynthesis".
DOI: 10.6084/m9.figshare.29483831
title: Elevated intracellular copper induces CTR1 monomerization and prevents copper uptake

description: The single-molecule localizations generated and analyzed for "Elevated intracellular copper induces CTR1 monomerization and prevents copper uptakes"