cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.23729/fd-6a9a208f-e7b5-3e99-ba8d-cd7964e4099b
title: Data for "Impact of black carbon on daytime valley and slope winds in idealised simulations"

description: Model output from idealised WRF-Chem simulations. Model source code and analysis scripts on Python are provided in Zenodo (DOI 10.5281/zenodo.17852772)

The dataset contains
wrfinput_d01 - the initial state for the spin-up run (Supp Fig S2)
wrfrst_d01_2024-03-22-06:00:00 - initial state of the actual simulations, after the 24-hr spin-up run (Fig 2a,e, Supp Fig S3, S4)

Separately for both simulation cases
{case}_avgs.nc - selection of necessary variables from the hourly averaged output (Fig 2-4)
{case}_mome_tend.nc - hourly averaged variables required for the along-valley momentum budget analysis (Fig 5)
{case}_heat_tend.nc - hourly averaged variables required for the heat budget analysis (Fig 6)
{case}_inst.nc - selection of 2D surface variables from the 10-min instantaneous output (Supp Fig S1)
DOI: 10.17632/d8f2j4x9s9
title: Sunlit Tropical Leaves in South China Show a Consistent Isoprene Light Response

description: Isoprene light response data for the article entitled “Sunlit Tropical Leaves in South China Show a Consistent Isoprene Light Response”
DOI: 10.17632/d8f2j4x9s9.1
title: Sunlit Tropical Leaves in South China Show a Consistent Isoprene Light Response

description: Isoprene light response data for the article entitled “Sunlit Tropical Leaves in South China Show a Consistent Isoprene Light Response”
DOI: 10.15468/dl.jgzxxd
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Solomys ponceleti",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037349-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dxvmut
title: Occurrence Download

description: A dataset containing 55 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((103.726 -1.077818, 103.655724 -1.083384, 103.587179 -1.099945, 103.522049 -1.127094, 103.461939 -1.164162, 103.408329 -1.210237, 103.362537 -1.264185, 103.325692 -1.324678, 103.298701 -1.390227, 103.282229 -1.459218, 103.276683 -1.529953, 103.2822 -1.60069, 103.298646 -1.669688, 103.325616 -1.735247, 103.362448 -1.795752, 103.408235 -1.849715, 103.46185 -1.895804, 103.521973 -1.932885, 103.587123 -1.960044, 103.655695 -1.976612, 103.726 -1.98218, 103.796305 -1.976612, 103.864877 -1.960044, 103.930027 -1.932885, 103.99015 -1.895804, 104.043765 -1.849715, 104.089552 -1.795752, 104.126384 -1.735247, 104.153354 -1.669688, 104.1698 -1.60069, 104.175317 -1.529953, 104.169771 -1.459218, 104.153299 -1.390227, 104.126308 -1.324678, 104.089463 -1.264185, 104.043671 -1.210237, 103.990061 -1.164162, 103.929951 -1.127094, 103.864821 -1.099945, 103.796276 -1.083384, 103.726 -1.077818))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 55 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037348-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jdyrr7cm4z
title: Transactional Filipino Sign Language Dataset

description: This dataset contains 1,065 .npy coordinates from video samples of Filipino Sign Language (FSL) gestures specifically curated for transactional and commercial interactions. The data was collected to support the development of Sign Language Recognition (SLR) systems aimed at bridging communication gaps in public facilities, markets, and government offices. The dataset consists of 26 distinct classes including numbers (1–10) and common transactional phrases: Yes, No, Thank You, Welcome, Again, How Much, How Many, Coin, Cash, Please, Wait, Card, Receipt, Discount, Hello, and Problem. This dataset is suitable for training and validating deep learning models (such as LSTM, GRU, or Transformers) for dynamic gesture recognition, particularly for edge computing applications in accessibility technology.
DOI: 10.17632/jdyrr7cm4z.2
title: Transactional Filipino Sign Language Dataset

description: This dataset contains 1,065 .npy coordinates from video samples of Filipino Sign Language (FSL) gestures specifically curated for transactional and commercial interactions. The data was collected to support the development of Sign Language Recognition (SLR) systems aimed at bridging communication gaps in public facilities, markets, and government offices. The dataset consists of 26 distinct classes including numbers (1–10) and common transactional phrases: Yes, No, Thank You, Welcome, Again, How Much, How Many, Coin, Cash, Please, Wait, Card, Receipt, Discount, Hello, and Problem. This dataset is suitable for training and validating deep learning models (such as LSTM, GRU, or Transformers) for dynamic gesture recognition, particularly for edge computing applications in accessibility technology.
DOI: 10.17632/9z7dgdtggk
title: A Near-Infrared Spectroscopy Dataset for Chemical Composition Prediction and Origin Identification of Tobacco Leaves

description: This database contains two core asset types: Data Files and Model Files.
1. Data Files
The dataset is provided in two separate .xlsx files:
Raw-nir-spectra-data: This file contains the raw near-infrared spectral dataset. It records the spectral information for all 347 tobacco samples and includes metadata such as each sample's unique ID, cultivation year, and country of origin.
13-Chemical-Components-data: This file contains the reference dataset for the chemical constituents. It includes the quantitative analysis results for the 13 key chemical components for all 347 samples, corresponding one-to-one with the spectral data.
2. Model Files
The database provides 99 pre-trained prediction and classification models in .joblib format. All models were built in a Python 3.9 environment and can be loaded and called directly. To facilitate easy identification and use, the model files adhere to the following naming conventions:
A. Quantitative Models (Chemical Prediction)
This naming format is used for the quantitative prediction models of the 13 chemical constituents.
Format: [Chemical_Component]_[Preprocessing_Method]_[Modeling_Method].joblib
Example: TotalSugars_MSC_PLS.joblib represents a PLS model for predicting Total Sugars using MSC preprocessing.
B. Classification Models (Origin Prediction)
This naming format is used for classification models built with different types of input data.
Format (based on spectral data): [Preprocessing_Method]_[Modeling_Method].joblib
Example: SecondDerivative_RF.joblib represents a Random Forest (RF) classification model built using second-derivative spectral data.
Special Note:
The file Thirteen_chemical_components-RF.joblib is a special classification model. It does not use spectral data; instead, it is built using the quantitative results of the 13 chemical components directly as its input features.
DOI: 10.17632/9z7dgdtggk.2
title: A Near-Infrared Spectroscopy Dataset for Chemical Composition Prediction and Origin Identification of Tobacco Leaves

description: This database contains two core asset types: Data Files and Model Files.
1. Data Files
The dataset is provided in two separate .xlsx files:
Raw-nir-spectra-data: This file contains the raw near-infrared spectral dataset. It records the spectral information for all 347 tobacco samples and includes metadata such as each sample's unique ID, cultivation year, and country of origin.
13-Chemical-Components-data: This file contains the reference dataset for the chemical constituents. It includes the quantitative analysis results for the 13 key chemical components for all 347 samples, corresponding one-to-one with the spectral data.
2. Model Files
The database provides 99 pre-trained prediction and classification models in .joblib format. All models were built in a Python 3.9 environment and can be loaded and called directly. To facilitate easy identification and use, the model files adhere to the following naming conventions:
A. Quantitative Models (Chemical Prediction)
This naming format is used for the quantitative prediction models of the 13 chemical constituents.
Format: [Chemical_Component]_[Preprocessing_Method]_[Modeling_Method].joblib
Example: TotalSugars_MSC_PLS.joblib represents a PLS model for predicting Total Sugars using MSC preprocessing.
B. Classification Models (Origin Prediction)
This naming format is used for classification models built with different types of input data.
Format (based on spectral data): [Preprocessing_Method]_[Modeling_Method].joblib
Example: SecondDerivative_RF.joblib represents a Random Forest (RF) classification model built using second-derivative spectral data.
Special Note:
The file Thirteen_chemical_components-RF.joblib is a special classification model. It does not use spectral data; instead, it is built using the quantitative results of the 13 chemical components directly as its input features.
DOI: 10.17632/5xtd3hn25g
title: 2025_1205_BrCTibet_GZ_Dataset_zwh_v1

description: The data sets about the BrCTibet_GuangZhou campaign used to evaluate the conclusions in the study.
DOI: 10.17632/5xtd3hn25g.1
title: 2025_1205_BrCTibet_GZ_Dataset_zwh_v1

description: The data sets about the BrCTibet_GuangZhou campaign used to evaluate the conclusions in the study.
DOI: 10.17632/s878m4pd4p
title: Digital KPLSR model and multivariate quality dataset for storage assessment of achira-starch products

description: This dataset provides a comprehensive experimental runs and a Kernel Partial Least Squares Regression (KPLSR) digital modelling framework for assessing the multivariate quality evolution of achira-starch-based products during storage. The database includes the initial physicochemical and spectroscopic characterization of the products followed by a controlled 30-day storage study designed to monitor quality degradation. Measurements of moisture, water, colour, texture, and sensory attributes were collected at five time points (0, 5, 15, 20, and 30 days), enabling a detailed temporal analysis of product behaviour under standardized environmental conditions. The dataset is fully compatible with MATLAB® (The MathWorks Inc., Natick, MA, USA) and supports the development and calibration of predictive models for quality estimation using multivariate statistical tools, including KPLSR and data-driven empirical equations. These models allow simultaneous prediction of key quality indicators as functions of storage time, offering practical capabilities for shelf-life estimation, quality monitoring, and decision-making in product development and storage optimization.
DOI: 10.17632/s878m4pd4p.1
title: Digital KPLSR model and multivariate quality dataset for storage assessment of achira-starch products

description: This dataset provides a comprehensive experimental runs and a Kernel Partial Least Squares Regression (KPLSR) digital modelling framework for assessing the multivariate quality evolution of achira-starch-based products during storage. The database includes the initial physicochemical and spectroscopic characterization of the products followed by a controlled 30-day storage study designed to monitor quality degradation. Measurements of moisture, water, colour, texture, and sensory attributes were collected at five time points (0, 5, 15, 20, and 30 days), enabling a detailed temporal analysis of product behaviour under standardized environmental conditions. The dataset is fully compatible with MATLAB® (The MathWorks Inc., Natick, MA, USA) and supports the development and calibration of predictive models for quality estimation using multivariate statistical tools, including KPLSR and data-driven empirical equations. These models allow simultaneous prediction of key quality indicators as functions of storage time, offering practical capabilities for shelf-life estimation, quality monitoring, and decision-making in product development and storage optimization.
DOI: 10.17632/zjrkjzzg66
title: Data on the internal exposure level of microplastics in fecal samples of adults in China

description: The levels of MPs in 151 fecal samples from adults in Shanghai were detected using the Pyrolysis gas chromatography-mass spectrometry (Py-GC/MS) method in 2024, among which 101 individuals were tested twice with a one-month interval.
DOI: 10.17632/zjrkjzzg66.1
title: Data on the internal exposure level of microplastics in fecal samples of adults in China

description: The levels of MPs in 151 fecal samples from adults in Shanghai were detected using the Pyrolysis gas chromatography-mass spectrometry (Py-GC/MS) method in 2024, among which 101 individuals were tested twice with a one-month interval.
DOI: 10.15468/dl.wqftnc
title: Occurrence Download

description: A dataset containing 1052 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bylgides elegans",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 1052 records from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037350-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4d4kksgpn2
title: Analytical Modeling of Temperature Fields in Extra-Long Highway Tunnels: Incorporating Vehicle Heat Dissipation

description: A fluid-solid coupling heat transfer model for tunnel gas is established based on the law of conservation of energy, incorporating heat generation from vehicles during tunnel operation. Via variable separation and Laplace transformation, analytical solutions for the radius of the heat-regulating circle in the tunnel envelope are derived, and the annual average and annual amplitude temperatures of tunnel gas are also calculated. On this basis, the variation law of the gas temperature field in an extra-long highway tunnel is deduced by considering the annual average and annual amplitude of gas temperature at the tunnel entrance. Results indicate that when the tunnel depth exceeds 2000 m, the tunnel temperature field can be determined solely by the annual average temperature of inlet gas, with the effect of inlet gas amplitude temperature negligible. Under the influence of inlet annual average temperature, the tunnel temperature changes most significantly at a wind speed of 5 m/s. Meanwhile, when traffic flow increases from 16000 veh/d to 22000 veh/d, the tunnel exit temperature only rises from 23 °C to 24.2 °C, meaning this factor exerts a weak impact.
DOI: 10.17632/4d4kksgpn2.1
title: Analytical Modeling of Temperature Fields in Extra-Long Highway Tunnels: Incorporating Vehicle Heat Dissipation

description: A fluid-solid coupling heat transfer model for tunnel gas is established based on the law of conservation of energy, incorporating heat generation from vehicles during tunnel operation. Via variable separation and Laplace transformation, analytical solutions for the radius of the heat-regulating circle in the tunnel envelope are derived, and the annual average and annual amplitude temperatures of tunnel gas are also calculated. On this basis, the variation law of the gas temperature field in an extra-long highway tunnel is deduced by considering the annual average and annual amplitude of gas temperature at the tunnel entrance. Results indicate that when the tunnel depth exceeds 2000 m, the tunnel temperature field can be determined solely by the annual average temperature of inlet gas, with the effect of inlet gas amplitude temperature negligible. Under the influence of inlet annual average temperature, the tunnel temperature changes most significantly at a wind speed of 5 m/s. Meanwhile, when traffic flow increases from 16000 veh/d to 22000 veh/d, the tunnel exit temperature only rises from 23 °C to 24.2 °C, meaning this factor exerts a weak impact.
DOI: 10.17632/zkpv6h8ds8
title: SHRM in SMEs: systematic review

description: This study focuses on SHRM in SMEs. this study will search into both Web of Science (WoS) and Scopus scientific databases, both databases widely known as large and readable scientific databases and provide the ability to search with many options, creating a simple and distinctive search platform. The initial filtering and refinement stage (first scan) removed duplicate scientific records across the two databases, as well as non-English records and those deemed irrelevant during a preliminary review. The second scanning included a comprehensive review of the selected scientific records after the first scanning, to ensure that each record met the study's needs and was directly related to its focus. The findings demonstrate that Sustainable Human Resource Management enhances triple-bottom-line outcomes: environmental performance improves through waste reduction and resource efficiency; social performance strengthens via employee well-being, engagement, and equity; and economic performance benefits from cost savings, innovation, and competitive advantage.
DOI: 10.17632/zkpv6h8ds8.1
title: SHRM in SMEs: systematic review

description: This study focuses on SHRM in SMEs. this study will search into both Web of Science (WoS) and Scopus scientific databases, both databases widely known as large and readable scientific databases and provide the ability to search with many options, creating a simple and distinctive search platform. The initial filtering and refinement stage (first scan) removed duplicate scientific records across the two databases, as well as non-English records and those deemed irrelevant during a preliminary review. The second scanning included a comprehensive review of the selected scientific records after the first scanning, to ensure that each record met the study's needs and was directly related to its focus. The findings demonstrate that Sustainable Human Resource Management enhances triple-bottom-line outcomes: environmental performance improves through waste reduction and resource efficiency; social performance strengthens via employee well-being, engagement, and equity; and economic performance benefits from cost savings, innovation, and competitive advantage.
DOI: 10.17632/y64fdy6r42
title: Engineered Lactobacillus paracasei 3×pBD1/ΔHLJ-27 as a Novel Antibiotic Alternative: Dual Efficacy in Promoting Animal Growth and Suppressing Salmonella Infection via Immune Activation

description: Fig.1 Effects of oral administration of recombinant strains on the growth performance of BALB/c mice. 
Fig.2 Efficacy of oral recombinant strain against intestinal S. typhimurium infection in mice.
Fig.3. Capability of intestinal colonization and growth-enhancing effects of recombinant strain 3×pBD1/ΔHLJ-27 in piglets.
Fig.4 The recombinant strain 3×pBD1/ΔHLJ-27 mitigates illness symptoms and facilitates intestinal barrier restoration in infected piglets.
Fig. 5. The changes of intestinal microbial diversities in piglets with oral administration of 3×pBD1/ΔHLJ-27.
Fig.6. Immunological responses in piglets treated with 3×pBD1/ΔHLJ-27, pPG/ΔHLJ-27, or challenged with S. typhimurium were assessed.
DOI: 10.17632/y64fdy6r42.1
title: Engineered Lactobacillus paracasei 3×pBD1/ΔHLJ-27 as a Novel Antibiotic Alternative: Dual Efficacy in Promoting Animal Growth and Suppressing Salmonella Infection via Immune Activation

description: Fig.1 Effects of oral administration of recombinant strains on the growth performance of BALB/c mice. 
Fig.2 Efficacy of oral recombinant strain against intestinal S. typhimurium infection in mice.
Fig.3. Capability of intestinal colonization and growth-enhancing effects of recombinant strain 3×pBD1/ΔHLJ-27 in piglets.
Fig.4 The recombinant strain 3×pBD1/ΔHLJ-27 mitigates illness symptoms and facilitates intestinal barrier restoration in infected piglets.
Fig. 5. The changes of intestinal microbial diversities in piglets with oral administration of 3×pBD1/ΔHLJ-27.
Fig.6. Immunological responses in piglets treated with 3×pBD1/ΔHLJ-27, pPG/ΔHLJ-27, or challenged with S. typhimurium were assessed.
DOI: 10.17632/pnv3bcyfhc
title: Tabel and Figur Material

description: The table is a quantitative analysis using Smart PLS4, including Operational Research of Variables, Construct Reliability and Validity, Fornell-Larcker Criterion, Path Coefficients, and R-squared.
Regarding government officials, three people were involved in this study. They came from the Pandeglang District Fisheries and Marine Service, the Coastal Fishing Port Technical Implementation Unit, the Teluk Labuan Fish Auction Site, and six fishing communities, all of which play a role in coastal resource management and e-government.
DOI: 10.15468/dl.jbhhk8
title: Occurrence Download

description: A dataset containing 128 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Tracheophyta)",
 "Geometry POLYGON ((12.93158 47.56807, 12.93958 47.56807, 12.93958 47.57607, 12.93158 47.57607, 12.93158 47.56807))"
 ]
}

 The dataset includes 128 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0037351-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/pnv3bcyfhc.1
title: Tabel and Figur Material

description: The table is a quantitative analysis using Smart PLS4, including Operational Research of Variables, Construct Reliability and Validity, Fornell-Larcker Criterion, Path Coefficients, and R-squared.
Regarding government officials, three people were involved in this study. They came from the Pandeglang District Fisheries and Marine Service, the Coastal Fishing Port Technical Implementation Unit, the Teluk Labuan Fish Auction Site, and six fishing communities, all of which play a role in coastal resource management and e-government.