cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.27994
title: Data for the paper "CeO2-x@β-CD Nanoparticles with pH-Sensitive Prooxidant and DOX Release Properties as Potential Agents for Enhanced Anticancer Therapy"
title: Data for the paper "CeO2-x@β-CD Nanoparticles with pH-Sensitive Prooxidant and DOX Release Properties as Potential Agents for Enhanced Anticancer Therapy"

description: XRD.opj: XRD of β-CD@CeO2-x complexes; XPS.opj:Ce 3d3/2 and Ce 3d5/2 XPS of β-CD@CeO2-x complexes; IR.opj: FTIR spectra of β-CD molecules and β-CD@CeO2-x complexes; Fig 2 a.opj:Time-dependent UV–vis absorption spectra of different reaction systems: H2O2+TMB, TMB+H2O2+β-CD, TMB+CeO2-x@β-CD and TMB+H2O2+CeO2-x@β-CD (20 mg L-1 NPs, 1.0 mM TMB and 1 mM H2O2, incubation for 10 min); Fig 2 b.opj: Effects of concentration of CeO2-x@β-CD NPs pH on the peroxidase-mimicking activity of CeO2-x @β-CD NPs; Fig 2 c.opj: Effects of pH of CeO2-x@β-CD NPs on the peroxidase-mimicking activity of CeO2-x @β-CD NPs; Fig 3.opj: The steady-state kinetics analysis of TMB peroxidation activity of CeO2-x@β-CD NPs. Michaelis-Menten curves at: TMB concentration variation (10 mM H2O2), and H2O2 concentration variation (1 mM TMB); Fig 4.opj: Dynamics of cysteine oxidation (200 µmol) ​​in the presence of CeO2-x@β-CD NPs (20 µg mL-1) in 10 mM Tris buffer (t = 37 °C); Fig 5.opj: Kinetic curves of DOX adsorption by CeO2-x@β-CD NPs at pH 5.0, and pH 7.4; Fig 6.opj: DOX adsorption isotherms fitted by Langmuir, Freundlich, and Sips models for CNPs = 20 mg L-1 and pH 7.4, measured after 1440 min; Fig 7.opj: Dynamics of release of DOX molecules adsorbed by CeO2-x@β-CD NPs at pH 5.4.
description: XRD.opj: XRD of β-CD@CeO2-x complexes; XPS.opj:Ce 3d3/2 and Ce 3d5/2 XPS of β-CD@CeO2-x complexes; IR.opj: FTIR spectra of β-CD molecules and β-CD@CeO2-x complexes; Fig 2 a.opj:Time-dependent UV–vis absorption spectra of different reaction systems: H2O2+TMB, TMB+H2O2+β-CD, TMB+CeO2-x@β-CD and TMB+H2O2+CeO2-x@β-CD (20 mg L-1 NPs, 1.0 mM TMB and 1 mM H2O2, incubation for 10 min); Fig 2 b.opj: Effects of concentration of CeO2-x@β-CD NPs pH on the peroxidase-mimicking activity of CeO2-x @β-CD NPs; Fig 2 c.opj: Effects of pH of CeO2-x@β-CD NPs on the peroxidase-mimicking activity of CeO2-x @β-CD NPs; Fig 3.opj: The steady-state kinetics analysis of TMB peroxidation activity of CeO2-x@β-CD NPs. Michaelis-Menten curves at: TMB concentration variation (10 mM H2O2), and H2O2 concentration variation (1 mM TMB); Fig 4.opj: Dynamics of cysteine oxidation (200 µmol) ​​in the presence of CeO2-x@β-CD NPs (20 µg mL-1) in 10 mM Tris buffer (t = 37 °C); Fig 5.opj: Kinetic curves of DOX adsorption by CeO2-x@β-CD NPs at pH 5.0, and pH 7.4; Fig 6.opj: DOX adsorption isotherms fitted by Langmuir, Freundlich, and Sips models for CNPs = 20 mg L-1 and pH 7.4, measured after 1440 min; Fig 7.opj: Dynamics of release of DOX molecules adsorbed by CeO2-x@β-CD NPs at pH 5.4.
DOI: 10.57760/sciencedb.27970
title: Study on the catalytic performance of Ag@AgBr/MgAl-LDH under photoelectric synergy
title: 光电协同作用下Ag@AgBr/MgAl-LDH催化性能的研究

description: Obtain the X-ray diffraction pattern of the material using an X-ray diffractometer, and process the data using Origin and Jade to obtain Figure 1. By observing the surface morphology of the material using a scanning electron microscope and processing the image with PS, Figure 2 was obtained. By using a UV visible spectrophotometer, the material was characterized using an integrating sphere to obtain its absorbance. The bandgap width of the material was calculated using Origin and shown in Figure 3. Characterize the electrochemical properties of the material using an electrochemical workstation, and process the data using Origin to obtain Figures 4 and 5. The activity of the material was characterized using a UV visible spectrophotometer, and the absorbance was obtained. After processing the data with Origin, Figures 7 and 8a were obtained. Based on the measured characterization data, the reaction mechanism of the material was plotted using PPT, resulting in Figure 8b. The functional group structure of the material was characterized using a Fourier transform infrared spectrometer, and additional material Figure 1 was obtained by processing the data with Origin. Characterize the hydrophilicity of the material using a contact angle measuring instrument, and process the image with PS to obtain additional material Figure 2 
description: Obtain the X-ray diffraction pattern of the material using an X-ray diffractometer, and process the data using Origin and Jade to obtain Figure 1. By observing the surface morphology of the material using a scanning electron microscope and processing the image with PS, Figure 2 was obtained. By using a UV visible spectrophotometer, the material was characterized using an integrating sphere to obtain its absorbance. The bandgap width of the material was calculated using Origin and shown in Figure 3. Characterize the electrochemical properties of the material using an electrochemical workstation, and process the data using Origin to obtain Figures 4 and 5. The activity of the material was characterized using a UV visible spectrophotometer, and the absorbance was obtained. After processing the data with Origin, Figures 7 and 8a were obtained. Based on the measured characterization data, the reaction mechanism of the material was plotted using PPT, resulting in Figure 8b. The functional group structure of the material was characterized using a Fourier transform infrared spectrometer, and additional material Figure 1 was obtained by processing the data with Origin. Characterize the hydrophilicity of the material using a contact angle measuring instrument, and process the image with PS to obtain additional material Figure 2
DOI: 10.15468/dl.9575pv
title: Occurrence Download

description: A dataset containing 56 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra",
 "Country is Côte d’Ivoire",
 "HasCoordinate is true"
 ]
}

 The dataset includes 56 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005299-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6yjrut
title: Occurrence Download

description: A dataset containing 24434 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Andropogon gerardi"
 ]
}

 The dataset includes 24434 records from 334 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005296-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.83tqup
title: Occurrence Download

description: A dataset containing 129 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Human Observation)",
 "Continent is Asia",
 "Country is India",
 "OccurrenceStatus is Present",
 "TaxonKey is Saussurea obvallata"
 ]
}

 The dataset includes 129 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005301-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6m8s66
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005300-250717081556266/datasets/export for details.
DOI: 10.15468/dl.ezmsg5
title: Occurrence Download

description: A dataset listing the 2 species recorded in GBIF matching the query:
{
 "TaxonKey" : [
 "is Frasera caroliniensis"
 ]
}

 The dataset's 2 records were derived from 86 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005288-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxxgwx
title: Occurrence Download

description: A dataset containing 108 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mimosa pigra",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 108 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005302-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.27855
title: TIR-RGB-UAV: A Multimodal, High-Resolution, and Multitemporal Dataset for Urban Scene Analysis
title: TIR-RGB-UAV: A Multimodal, High-Resolution, and Multitemporal Dataset for Urban Scene Analysis

description: The dataset used consists of multispectral RGB and TIR images acquired using a Unmanned Aerial Vehicle (UAV), commonly referred to as a drone, equipped with ultra-high-resolution sensors. Data collection was conducted over 12 months, with one flight campaign per month. For each campaign, flights were carried out during three distinct times of the day: morning, afternoon, and night. On four occasions, nighttime flights were not performed due to unfavorable weather conditions, such as rainfall and strong winds, which made UAV operations unsafe.A total of 13 land use and land cover classes were defined, with four samples collected per class during each flight. As a result, the dataset comprises 1,664 RGB images and 1,664 TIR images, acquired simultaneously by the dual-sensor camera onboard the RPA, ensuring temporal alignment between spectral domains.It is important to note that due to the optical characteristics of the sensors, the RGB and TIR images differ in both spatial resolution and field of view. The ground sampling distance (GSD) for the RGB images is approximately 4 cm, while for the TIR images it is around 18 cm. Furthermore, the RGB images capture a slightly larger area compared to the TIR images, requiring pre-processing steps such as spatial registration and cropping to enable proper spectral fusion.
description: The dataset used consists of multispectral RGB and TIR images acquired using a Unmanned Aerial Vehicle (UAV), commonly referred to as a drone, equipped with ultra-high-resolution sensors. Data collection was conducted over 12 months, with one flight campaign per month. For each campaign, flights were carried out during three distinct times of the day: morning, afternoon, and night. On four occasions, nighttime flights were not performed due to unfavorable weather conditions, such as rainfall and strong winds, which made UAV operations unsafe.A total of 13 land use and land cover classes were defined, with four samples collected per class during each flight. As a result, the dataset comprises 1,664 RGB images and 1,664 TIR images, acquired simultaneously by the dual-sensor camera onboard the RPA, ensuring temporal alignment between spectral domains.It is important to note that due to the optical characteristics of the sensors, the RGB and TIR images differ in both spatial resolution and field of view. The ground sampling distance (GSD) for the RGB images is approximately 4 cm, while for the TIR images it is around 18 cm. Furthermore, the RGB images capture a slightly larger area compared to the TIR images, requiring pre-processing steps such as spatial registration and cropping to enable proper spectral fusion.
DOI: 10.57760/sciencedb.27951
title: Data of 'Heterogeneous Recycled Carbon Black from Pyrolytic Waste Tire Rubber with Strong, Wideband Electromagnetic Wave Absorption'
title: Data of 'Heterogeneous Recycled Carbon Black from Pyrolytic Waste Tire Rubber with Strong, Wideband Electromagnetic Wave Absorption'

description: Data of 'Heterogeneous Recycled Carbon Black from Pyrolytic Waste Tire Rubber with Strong, Wideband Electromagnetic Wave Absorption', which includes XRD, FT-IR, Raman, TGA, electromagnetic parameters, RL-F, cole-cole semicircle, Zin, Tm-F curve.
description: Data of 'Heterogeneous Recycled Carbon Black from Pyrolytic Waste Tire Rubber with Strong, Wideband Electromagnetic Wave Absorption', which includes XRD, FT-IR, Raman, TGA, electromagnetic parameters, RL-F, cole-cole semicircle, Zin, Tm-F curve.
DOI: 10.57760/sciencedb.27947
title: Olive Oil-Based Lipid Emulsion Ameliorates Immune Checkpoint Inhibitor-Induced Myocarditis via Inhibition of the NF-κB/NLRP3/IL-1β Pathway
title: Olive Oil-Based Lipid Emulsion Ameliorates Immune Checkpoint Inhibitor-Induced Myocarditis via Inhibition of the NF-κB/NLRP3/IL-1β Pathway

description: Objective: The present study aimed to investigate the therapeutic efficacy and underlying mechanism of olive oil-based lipid emulsions (OOLE) in mitigating immune checkpoint inhibitor (ICI)-induced myocarditis triggered by ipilimumab (IPI) and nivolumab (NIVO).Methods: An in vitro model of inflammatory cardiomyocytes was established by co-culturing HL-1 cells with CD4⁺/CD8⁺ T cells isolated from ICI-treated mice. Cells were treated with 10% OOLE, followed by flow cytometry for apoptosis, ELISA for cytokine profiling (TNF-α, IL-1β, IL-6), and Western blot/qPCR for pathway analysis (NF-κB, NLRP3, IL-1β). In vivo, myocarditis was induced in mice via IPI/NIVO administration. Cardiac function was assessed using echocardiography, and inflammatory markers were evaluated in serum and myocardial tissue.
description: Objective: The present study aimed to investigate the therapeutic efficacy and underlying mechanism of olive oil-based lipid emulsions (OOLE) in mitigating immune checkpoint inhibitor (ICI)-induced myocarditis triggered by ipilimumab (IPI) and nivolumab (NIVO).Methods: An in vitro model of inflammatory cardiomyocytes was established by co-culturing HL-1 cells with CD4⁺/CD8⁺ T cells isolated from ICI-treated mice. Cells were treated with 10% OOLE, followed by flow cytometry for apoptosis, ELISA for cytokine profiling (TNF-α, IL-1β, IL-6), and Western blot/qPCR for pathway analysis (NF-κB, NLRP3, IL-1β). In vivo, myocarditis was induced in mice via IPI/NIVO administration. Cardiac function was assessed using echocardiography, and inflammatory markers were evaluated in serum and myocardial tissue.
DOI: 10.15468/dl.sttghm
title: Occurrence Download

description: A dataset containing 569 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Scutellaria hypericifolia"
 ]
}

 The dataset includes 569 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005304-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mf9cya
title: Occurrence Download

description: A dataset containing 21065 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Neslia paniculata"
 ]
}

 The dataset includes 21065 records from 372 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005303-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.4bn4h4
title: Occurrence Download

description: A dataset containing 846175 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Veronica chamaedrys"
 ]
}

 The dataset includes 846175 records from 2874 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0005166-250717081556266/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15156/bio/sh1397093.10fu
title: SH1397093.10FU

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/sh1397096.10fu
title: SH1397096.10FU

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/sh1397098.10fu
title: SH1397098.10FU

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/sh1397099.10fu
title: SH1397099.10FU

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/sh1397100.10fu
title: SH1397100.10FU

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/sh1397101.10fu
title: SH1397101.10FU

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/sh1397103.10fu
title: SH1397103.10FU

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.