cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29605399.v1
title: Gastric Mucus-Inspired Oxygen-Blocking Inhibitor: Mechanisms and Performance in Coal Spontaneous Combustion

description: Coal spontaneous combustion (CSC) poses a critical hazard in coal production safety, demanding advanced prevention technologies. Inhibitors offer an effective fire suppression approach, yet conventional water-soluble variants require frequent re-spraying. To address this limitation, the paper developed an inhibitor based on multi-barrier oxygen shielding mechanisms that simultaneously maintain suppression efficiency and inhibit coal-oxygen recombination. Inspired by the multi-protective barrier system of gastric mucus, we engineered a composite inhibitor (termed Gastric mucus-inspired acidified anti-permeability deoxygenation inhibitor, GMA) with synergistic acidification, anti-permeability, and chemical deoxygenation functionalities, systematically characterizing its physicochemical properties. Based on oxygen consumption experiments, the optimal component ratios in the inhibitor are determined: C<sub>6</sub>H<sub>12</sub>O<sub>6</sub> (2.5 wt%), DL-malic acid (0.004 wt%), Sodium alginate (2 wt%), MgCl<sub>2</sub> (0.225 wt%), and a mass ratio of C<sub>6</sub>H<sub>12</sub>O<sub>6</sub> to Glucose oxidase is 100:1. Additionally, experimental results demonstrated that GMA maintains its inhibitory efficacy under low-temperature conditions, and the inhibition effectiveness positively correlates with the thickness of the barrier layer. Utilizing quantum chemical theory, analyses of molecular surface electrostatic potential, Fukui functions, and chemical softness revealed that Mg<sup>2+</sup> enhances electron transfer in reduced flavin adenine dinucleotide (FADH₂), increasing its reactivity. Furthermore, an investigation of intermolecular interactions in the FAD<sub>2</sub>-O<sub>2</sub> hybrid system revealed that its binding energy surpasses that of most oxygen-containing functional groups in coal. Strong hydrogen bonding and electron transfer are the main interactions, supplemented by weaker hydrogen bonds and van der Waals forces. This paper establishes a multi-barrier oxygen-shielding inhibition system based on bionic principles, providing a novel framework for advanced inhibitor development.
DOI: 10.6084/m9.figshare.26862223
title: Dexmedetomidine inhibits the migration, invasion, and glycolysis of glioblastoma cells by lactylation of c-myc

description: Glioblastoma (GBM) is a brain tumor with poor prognosis. Dexmedetomidine (Dex) regulates the biological behaviors of tumor cells to accelerate or decelerate cancer progression. We investigated the effects of Dex on the migration, invasion, and glycolysis in GBM. The concentration of Dex was determined using the cell counting kit-8 assay. The impacts of Dex on biological behaviors of GBM cells were assessed using Transwell assay, XF96 extracellular flux analysis, and western blot. The expression of c-Myc was examined using reverse transcription-quantitative polymerase chain reaction. The lactylation or stability of c-Myc was measured by western blot after immunoprecipitation or cycloheximide treatment. We found that Dex (200 nM) inhibited GBM cell viability, migration, invasion, and glycolysis. C-Myc was highly expressed in GBM cells and was decreased by Dex treatment. Moreover, Dex suppressed lactylated c-Myc levels via suppressing glycolysis, thereby reducing the protein stability of c-Myc. Sodium lactate treatment abrogated the effects of Dex on the biological behaviors of GBM cells. Dex suppressed the migration, invasion, and glycolysis of GBM cells via inhibiting lactylation of c-Myc and suppressing the c-Myc stability, suggesting that Dex may be a novel therapeutic drug for GBM treatment.
DOI: 10.6084/m9.figshare.26862223.v1
title: Dexmedetomidine inhibits the migration, invasion, and glycolysis of glioblastoma cells by lactylation of c-myc

description: Glioblastoma (GBM) is a brain tumor with poor prognosis. Dexmedetomidine (Dex) regulates the biological behaviors of tumor cells to accelerate or decelerate cancer progression. We investigated the effects of Dex on the migration, invasion, and glycolysis in GBM. The concentration of Dex was determined using the cell counting kit-8 assay. The impacts of Dex on biological behaviors of GBM cells were assessed using Transwell assay, XF96 extracellular flux analysis, and western blot. The expression of c-Myc was examined using reverse transcription-quantitative polymerase chain reaction. The lactylation or stability of c-Myc was measured by western blot after immunoprecipitation or cycloheximide treatment. We found that Dex (200 nM) inhibited GBM cell viability, migration, invasion, and glycolysis. C-Myc was highly expressed in GBM cells and was decreased by Dex treatment. Moreover, Dex suppressed lactylated c-Myc levels via suppressing glycolysis, thereby reducing the protein stability of c-Myc. Sodium lactate treatment abrogated the effects of Dex on the biological behaviors of GBM cells. Dex suppressed the migration, invasion, and glycolysis of GBM cells via inhibiting lactylation of c-Myc and suppressing the c-Myc stability, suggesting that Dex may be a novel therapeutic drug for GBM treatment.
DOI: 10.15468/dl.439rup
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADK2865"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017161-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/d4na-7e68
title: "Product Dataset for Image rectification"

description: "Supplementary Data for Product Recognition using Image Rectification. The dataset provided is part of a bigger dataset currently being worked on in different studies. The complete dataset shall be released later."
DOI: 10.15468/dl.zb66e6
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017162-250717081556266/datasets/export for details.
DOI: 10.15468/dl.6rdpm6
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tor mosal mahanadicus"
 ]
}

 The dataset includes 18 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017164-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gufe6d
title: Occurrence Download

description: A dataset containing 152 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ambrosia artemisiifolia",
 "Country is Spain",
 "HasCoordinate is true"
 ]
}

 The dataset includes 152 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017163-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.baktmj
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Pinus koraiensis"
 ]
}

 The dataset includes 55 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017165-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.21227/t0m0-w004
title: "Embracing Women In Society"

description: " Computational and quantitative modeling offer new insights into the complex mechanisms underlying women\u2019s socioeconomic mobility within contemporary social systems. By integrating machine learning with advanced statistical analysis, this research examines how educational attainment, economic participation, and access to financial and legal resources interact to shape patterns of empowerment for women ((n=223), 68.4\\% women). A system-oriented investigation addresses: the influence of educational achievement on participation in labor and entrepreneurial networks; the quantification and simulation of barriers to financial inclusion; and the impact of legal service accessibility and rights awareness on upward mobility. Analytical approaches\u2014including logistic regression, random forest classifiers, and neural networks\u2014enable the modeling of nonlinear dependencies and prediction of key behavioral outcomes within dynamic socio-technical structures. Comprehensive data visualization and exploratory analysis reveal critical interactions among educational, economic, and legal subsystems. Results identify leverage points for effective intervention and demonstrate the utility of computational social systems methods for optimizing equity and adaptability in rapidly evolving environments. "
DOI: 10.15468/dl.mrr46q
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017166-250717081556266/datasets/export for details.
DOI: 10.15468/dl.yh3sqw
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Hypnea musciformis",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017167-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ejmys7
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Panchlora peruana"
 ]
}

 The dataset includes 15 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017168-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9be23
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADM9058"
 ]
}

 The dataset includes 12 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017169-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16209899
title: Dataset for "Deep Learning as Proxies for Predicting Synthetic Likelihood in Metal-Organic Frameworks "
DOI: 10.15468/dl.9v9myq
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Australia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017171-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83tvtk
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Angola",
 "HasCoordinate is true"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017170-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.e4vemq
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is BOLD:ADM9057"
 ]
}

 The dataset includes 19 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017172-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q4gjeu
title: Occurrence Download

description: A dataset containing 992 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Crataegus pinnatifida"
 ]
}

 The dataset includes 992 records from 24 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017173-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16209906
title: Sentiment Analysis on Threads App Review using SVM & Naive Bayes
DOI: 10.5281/zenodo.16209907
title: Sentiment Analysis on Threads App Review using SVM & Naive Bayes
DOI: 10.15468/dl.85y58b
title: Occurrence Download

description: A dataset containing 17 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Aphrophora similis"
 ]
}

 The dataset includes 17 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017174-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fgy62q
title: Occurrence Download

description: A dataset containing 57 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Toxotes oligolepis"
 ]
}

 The dataset includes 57 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017177-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.y6cvet
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017176-250717081556266/datasets/export for details.
DOI: 10.15468/dl.ngsy2c
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017178-250717081556266/datasets/export for details.
DOI: 10.5281/zenodo.16210059
title: Supplementary Material
DOI: 10.5281/zenodo.16210060
title: Supplementary Material
DOI: 10.15468/dl.4hzd3g
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Rhodeus sinensis",
 "Country is Afghanistan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017179-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6438ye
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Balclutha aridula"
 ]
}

 The dataset includes 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017180-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zcct6w
title: Occurrence Download

description: A dataset containing 92 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Trachelyopterichthys taeniatus"
 ]
}

 The dataset includes 92 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017181-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fm7xsg
title: Occurrence Download

description: A dataset containing 2644 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Eichhornia crassipes",
 "Country is Benin",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2644 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0017182-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh0157190.10fu
title: SH0157190.10FU

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/sh0157191.10fu
title: SH0157191.10FU

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/sh0157192.10fu
title: SH0157192.10FU

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/sh0157193.10fu
title: SH0157193.10FU

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/sh0157194.10fu
title: SH0157194.10FU

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.