cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.28856
title: Survey on Knowledge of Helicobacter Pylori and Early Gastrointestinal Cancer from Two Different Regions in China
title: Survey on Knowledge of Helicobacter Pylori and Early Gastrointestinal Cancer from Two Different Regions in China

description: This study employed a cross-sectional survey design. Between August and September 2025, online and offline questionnaire surveys were conducted among permanent residents of Shanghai and Shanxi regions using the "Wenjuanxing" platform. The sampling method combined random sampling and "snowball" sampling to expand sample coverage and representativeness. Inclusion criteria were: (1) age 18 years or older; (2) ability to independently read and complete the questionnaire; (3) voluntary participation in the study. The exclusion criterion was: incomplete questionnaire responses. 
description: This study employed a cross-sectional survey design. Between August and September 2025, online and offline questionnaire surveys were conducted among permanent residents of Shanghai and Shanxi regions using the "Wenjuanxing" platform. The sampling method combined random sampling and "snowball" sampling to expand sample coverage and representativeness. Inclusion criteria were: (1) age 18 years or older; (2) ability to independently read and complete the questionnaire; (3) voluntary participation in the study. The exclusion criterion was: incomplete questionnaire responses.
DOI: 10.15468/dl.ygqtqe
title: Occurrence Download

description: A dataset containing 554 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Catalpa fargesii)"
 ]
}

 The dataset includes 554 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018333-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.28799
title: Sustainable High-Efficiency Photocatalytic Lithium Recovery from Spent LiFePO₄ Batteries: Green Process Design and Performance Validation
title: Sustainable High-Efficiency Photocatalytic Lithium Recovery from Spent LiFePO₄ Batteries: Green Process Design and Performance Validation

description: A novel study on recycling waste LFP batteries using photocatalysis technology
description: A novel study on recycling waste LFP batteries using photocatalysis technology
DOI: 10.15468/dl.6s5v7p
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla ocellaris",
 "Country is Peru",
 "HasCoordinate is true"
 ]
}

 The dataset includes 12 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018334-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qh8nes
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla ocellaris",
 "Country is Trinidad and Tobago",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018335-250920141307145/datasets/export for details.
DOI: 10.15468/dl.x4d7th
title: Occurrence Download

description: A dataset containing 975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla ocellaris",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 975 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018336-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17205446
title: PubChemLite for Exposomics

description: This is the repository for regular updates of the PubChemLite for Exposomics data collection. PubChemLite for Exposomics is a subset of
PubChem selected from major
categories of the
Table of Contents
page at the PubChem Classification Browser, described in
DOI:10.1186/s13321-021-00489-0.

PubChemLite for Exposomics (v2.0.0 and higher) is compiled from 11 categories:
AgroChemInfo, BioPathway, DrugMedicInfo, FoodRelated, PharmacoInfo,
SafetyInfo, ToxicityInfo, KnownUse, DisorderDisease, Identification, ChemClass.

PubChemCIDs have been collapsed by InChIKey first block, reporting the
structure from the most annotated CID, plus related CIDs. Entries that
will be ignored by MetFrag (salts, disconnected substances) or cause
errors (e.g. transition metals) have been removed. The Patent and
PubMed ID counts are extracted from files on the PubChem FTP site. The
`AnnoTypeCount' term counts how many of the categories are represented, the
subsequent column (named per category) counts the number of annotation
categories available in the next sub-category of the TOC entry.

These files can be used `as is' as localCSV for
MetFrag Command Line.
description: These files can be used "as is" for MetFrag (command line) and other
high throughput workflows.

Please do NOT upload these files directly to the MetFrag web
interface, they are too large. The latest updates
will be available in a drop-down menu.
DOI: 10.57760/sciencedb.j00001.01599
title: Dataset of 10-meter Annual Average Vegetation Index and Fractional Vegetation Cover for the Hubei Section of the Yangtze River Mainstream Basin (2019–2024)
title: 长江干流流域（湖北段）2019-2024年10米年均植被指数与植被覆盖度数据集

description: This dataset is based on Sentinel-2 satellite data and utilizes the Google Earth Engine (GEE) platform to generate the annual average vegetation index (NDVI, kNDVI) and corresponding vegetation coverage (FVC_NDVI, FVC_kndvi) products at a resolution of 10 meters in the Yangtze River mainstream basin (Hubei section) from 2019 to 2024. During the processing, the cloud cover is screened and QA60 cloud mask is used to remove clouds and thin clouds before cutting to the watershed range. Calculate NDVI and kNDVI, and generate two vegetation coverage using a pixel binary model. To enhance temporal continuity and spatial integrity, the annual product further undergoes Savitzky Golay filtering, inter annual interpolation, and local spatial interpolation. Comparison and verification with MODIS 250 meter products show that the error is small (MAE, RMSE&lt;0.1), and the R ² exceeds 0.81, indicating reliable data accuracy. The data resolution is 10 meters, the coordinate system is WGS 84 (EPSG: 4326), GeoTIFF format, int16 encoding (value x 10000). The file naming convention is "CJHB_Year_mean_index_10m_sm.tif". This dataset can provide high-precision basic data for vegetation change analysis, agricultural and forestry management, and ecological environment monitoring in the target watershed. 
description: This dataset is based on Sentinel-2 satellite data and utilizes the Google Earth Engine (GEE) platform to generate the annual average vegetation index (NDVI, kNDVI) and corresponding vegetation coverage (FVC_NDVI, FVC_kndvi) products at a resolution of 10 meters in the Yangtze River mainstream basin (Hubei section) from 2019 to 2024. During the processing, the cloud cover is screened and QA60 cloud mask is used to remove clouds and thin clouds before cutting to the watershed range. Calculate NDVI and kNDVI, and generate two vegetation coverage using a pixel binary model. To enhance temporal continuity and spatial integrity, the annual product further undergoes Savitzky Golay filtering, inter annual interpolation, and local spatial interpolation. Comparison and verification with MODIS 250 meter products show that the error is small (MAE, RMSE&lt;0.1), and the R ² exceeds 0.81, indicating reliable data accuracy. The data resolution is 10 meters, the coordinate system is WGS 84 (EPSG: 4326), GeoTIFF format, int16 encoding (value x 10000). The file naming convention is "CJHB_Year_mean_index_10m_sm.tif". This dataset can provide high-precision basic data for vegetation change analysis, agricultural and forestry management, and ecological environment monitoring in the target watershed.
DOI: 10.57760/sciencedb.28553
title: Dataset of Annual Mean and Maximum Vegetation Indices in the YiSiMu River Basin (2019–2024)
title: 沂泗沐流域植被指数年均值年最大值数据集（2019-2024年）

description: This dataset is derived from Sentinel-2 satellite data and processed on the Google Earth Engine (GEE) platform to produce annual mean vegetation indices (NDVI, kNDVI) and the corresponding fractional vegetation cover (FVC_ndvi, FVC_kndvi) products at 10 m resolution for the Yisimu River Basin during 2019–2024. In the processing workflow, Sentinel-2 images with cloud cover less than 50% were selected, QA60 masks were applied to remove clouds and cirrus clouds, and the images were cropped to the basin extent. NDVI and kNDVI were calculated, and two FVC products were generated using the pixel dichotomy model. To improve temporal continuity and spatial completeness, the annual products were further processed with Savitzky–Golay filtering, inter-annual interpolation, and local spatial interpolation. Comparison with MODIS 250 m products indicates R² &gt; 0.77, confirming high data reliability.The dataset has a spatial resolution of 10 m, is provided in the WGS 84 coordinate system (EPSG:4326), in GeoTIFF format with int16 encoding (values × 10,000). The raster files are named following the convention “c[year]_[index]_mean.tif”. This dataset provides high-resolution baseline data to support vegetation change analysis, agricultural and forestry management, and ecosystem and environmental monitoring in the Yisimu River Basin.
description: This dataset is derived from Sentinel-2 satellite data and processed on the Google Earth Engine (GEE) platform to produce annual mean vegetation indices (NDVI, kNDVI) and the corresponding fractional vegetation cover (FVC_ndvi, FVC_kndvi) products at 10 m resolution for the Yisimu River Basin during 2019–2024. In the processing workflow, Sentinel-2 images with cloud cover less than 50% were selected, QA60 masks were applied to remove clouds and cirrus clouds, and the images were cropped to the basin extent. NDVI and kNDVI were calculated, and two FVC products were generated using the pixel dichotomy model. To improve temporal continuity and spatial completeness, the annual products were further processed with Savitzky–Golay filtering, inter-annual interpolation, and local spatial interpolation. Comparison with MODIS 250 m products indicates R² &gt; 0.77, confirming high data reliability.The dataset has a spatial resolution of 10 m, is provided in the WGS 84 coordinate system (EPSG:4326), in GeoTIFF format with int16 encoding (values × 10,000). The raster files are named following the convention “c[year]_[index]_mean.tif”. This dataset provides high-resolution baseline data to support vegetation change analysis, agricultural and forestry management, and ecosystem and environmental monitoring in the Yisimu River Basin.
DOI: 10.15468/dl.554c6b
title: Occurrence Download

description: A dataset containing 1450284 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Plegadis falcinellus"
 ]
}

 The dataset includes 1450284 records from 743 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018229-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vbrx3c
title: Occurrence Download

description: A dataset containing 8535 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrobrachium asperulum",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 8535 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018340-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d6kzw4
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla ocellaris",
 "Country is Viet Nam",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018341-250920141307145/datasets/export for details.
DOI: 10.15468/dl.kb3gsq
title: Occurrence Download

description: A dataset containing 39822 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Catananche caerulea)"
 ]
}

 The dataset includes 39822 records from 366 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018339-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.f3y7qzre
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (41 records)
DOI: 10.15468/dl.9vds96
title: Occurrence Download

description: A dataset containing 470 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fauna of the splash zone of Lake Baikal"
 ]
}

 The dataset includes 470 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018343-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.13140/rg.2.2.11265.72804
title: honey bee exhibition panel
DOI: 10.15468/dl.zykshs
title: Occurrence Download

description: A dataset containing 79 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Celmisia hookeri)"
 ]
}

 The dataset includes 79 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018344-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z82d47
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cichla pleiozona",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018347-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7j4mr8
title: Occurrence Download

description: A dataset containing 492 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrobrachium australe",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 492 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018345-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17205454
title: The Ultimate Japan Photography Tour for Professionals in 2025 : A Complete Guide

description: The Ultimate Japan Photography Tour for Professionals 2025 by The Lens India is a carefully curated journey designed for advanced photographers. This exclusive tour offers unique photo opportunities across Japan—from Tokyo’s dynamic cityscapes and Kyoto’s timeless temples to Mount Fuji’s majestic landscapes and Hokkaido’s winter wonderland. With expert mentorship, small group sizes, cultural immersion, and post-tour feedback, participants will refine their craft, capture Japan’s authentic beauty, and elevate their portfolios.
DOI: 10.5281/zenodo.17205455
title: The Ultimate Japan Photography Tour for Professionals in 2025 : A Complete Guide

description: The Ultimate Japan Photography Tour for Professionals 2025 by The Lens India is a carefully curated journey designed for advanced photographers. This exclusive tour offers unique photo opportunities across Japan—from Tokyo’s dynamic cityscapes and Kyoto’s timeless temples to Mount Fuji’s majestic landscapes and Hokkaido’s winter wonderland. With expert mentorship, small group sizes, cultural immersion, and post-tour feedback, participants will refine their craft, capture Japan’s authentic beauty, and elevate their portfolios.
DOI: 10.5517/ccdc.csd.cc27xkg6
title: CCDC 2083028: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
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: 10.5517/ccdc.csd.cc27xkh7
title: CCDC 2083029: Experimental Crystal Structure Determination

description: Related Article: Junfeng Qian, Huangjie Lu, Zhaofa Zheng, Miaomiao Xu, Yuan Qian, Zhi-Hui Zhang, Jian-Qiang Wang, Ming-Yang He, Jian Lin|2021|Dalton Trans.|50|14325|doi:10.1039/D1DT01618K
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: 10.15468/dl.jvj5rs
title: Occurrence Download

description: A dataset containing 1406 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Celmisia sessiliflora)"
 ]
}

 The dataset includes 1406 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018348-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/13175893
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.b9jry2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galba truncatula",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018349-250920141307145/datasets/export for details.
DOI: 10.15468/dl.5b9wcy
title: Occurrence Download

description: A dataset containing 76 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Galba truncatula",
 "Country is Japan",
 "HasCoordinate is true"
 ]
}

 The dataset includes 76 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018351-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s9chf9
title: Occurrence Download

description: A dataset containing 140 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Macrobrachium equidens",
 "Geometry POLYGON((119.300000 20.500000, 122.100000 20.500000, 122.100000 25.400000, 119.300000 25.400000, 119.300000 20.500000))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 140 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0018350-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30216868.v1
title: Anthropogenic emission inventory for total and soluble iron in 2019 in Mainland China

description: The dataset is based on the ABaCAS-EI (v2.0), which is available at https://doi.org/10.6084/m9.figshare.21777005.v1.(Li et al., <i>Earth Syst. Sci. Data</i>, <i>15</i>(6), 2279-2294)Total and soluble Fe (FeT and FeS) contents per unit mass of PM2.5 from major anthropogenic sources were quantified through field measurements and laboratory analyses in our study.Detailed definition for the grid and source sector can be seen in the file "README FIRST".
DOI: 10.6084/m9.figshare.30126873
title: Post-COVID-19 disruption of the respiratory microbiome modulates <i>Mycoplasma pneumoniae</i>: a multi-center retrospective investigation study

description: Since the COVID-19 pandemic, there has been a notable resurgence of <i>Mycoplasma pneumoniae</i> pneumonia (MPP) in children, with a concerning rise in the severity of cases. Although changes in post-pandemic respiratory infection patterns have been documented, the reasons behind the increased severity of MPP, especially concerning shifts in the respiratory microbiota, are not well understood. This study aims to explore how pandemic-associated disruptions in respiratory microbiota contribute to MPP severity. Through analysis of multiple independent cohorts, we found that the depletion of protective respiratory microbiota exacerbates MPP severity by reducing colonization resistance against <i>M. pneumoniae</i>. We identified two antagonistic microbiota modules with distinct metabolic features and community structures that regulate pathogen colonization and disease severity. Using a Susceptible-Infected-Recovered (SIR) model, we simulated <i>M. pneumoniae</i> infection dynamics across different microbiota states. Additionally, a machine-learning model based on eight key microbes effectively distinguished between cases and controls and predicted infection severity, offering insights into post-pandemic respiratory infections. This study underscores the essential role of the respiratory microbiota in influencing the severity of <i>M. pneumoniae</i> infections. Our findings offer a framework for managing respiratory infections in the post-pandemic era, highlighting the significance of understanding microbial community dynamics in determining disease outcomes. These insights could guide the development of therapeutic strategies focused on restoring or enhancing the protective microbiota, which may offer an effective strategy for the management of MPP and other respiratory infections.