cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/yn489pktym.2
title: Buyer preferences for quality in first-sale fish markets

description: The data used in this research are confidential. They were obtained under a signed agreement with FranceAgriMer (https://www.franceagrimer.fr/). FranceAgriMer uses these data to publish annual reports on sales in French fish markets using these data.
Although the data cannot be shared due to confidentiality, the complete Stata code used for this paper is provided in the enclosed file. Execution time is very long due to the large sample size. The do-file contains more than 4,500 lines of code.
DOI: 10.6084/m9.figshare.30230575
title: Demo Social Rats

description: Demo videos of Soical Rats
DOI: 10.6084/m9.figshare.30230575.v1
title: Demo Social Rats

description: Demo videos of Soical Rats
DOI: 10.17632/4j8gkkwwcy
title: Transcriptomic Analysis Reveals the Metabolic Changes in the Liver, Subcutaneous Adipose and Mammary Gland Tissues During the Process of Conjugated Linoleic Acid-Induced Milk Fat Depression in Dairy Cows

description: Lactation performance, serum indicators, and complete transcriptome results data
DOI: 10.17632/4j8gkkwwcy.1
title: Transcriptomic Analysis Reveals the Metabolic Changes in the Liver, Subcutaneous Adipose and Mammary Gland Tissues During the Process of Conjugated Linoleic Acid-Induced Milk Fat Depression in Dairy Cows

description: Lactation performance, serum indicators, and complete transcriptome results data
DOI: 10.15468/dl.25g8yh
title: Occurrence Download

description: A dataset containing 518 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 (Aquilegia parviflora)"
 ]
}

 The dataset includes 518 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028273-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dzsj8r
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028274-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z8sfdnch2c
title: Measuring Hallucination in Large Language Models for Cyber Threat Intelligence: An Exploratory Study

description: In this paper, we present the first measurement-driven study on the reliability of LLM-based expert systems applied to CTI tasks. We propose an automated framework, HalluVision, which generates LLM outputs, extracts malware-related entities using a fine-tuned Named Entity Recognition (NER) model, and evaluates their factual consistency using multiple similarity metrics. Our analysis, based on 4,940 real-world security articles, includes both quantitative measurements and qualitative case studies, offering a comprehensive evaluation of hallucination risks in this high-stakes application domain.
DOI: 10.17632/z8sfdnch2c.2
title: Measuring Hallucination in Large Language Models for Cyber Threat Intelligence: An Exploratory Study

description: In this paper, we present the first measurement-driven study on the reliability of LLM-based expert systems applied to CTI tasks. We propose an automated framework, HalluVision, which generates LLM outputs, extracts malware-related entities using a fine-tuned Named Entity Recognition (NER) model, and evaluates their factual consistency using multiple similarity metrics. Our analysis, based on 4,940 real-world security articles, includes both quantitative measurements and qualitative case studies, offering a comprehensive evaluation of hallucination risks in this high-stakes application domain.
DOI: 10.15468/dl.dfwz9d
title: Occurrence Download

description: A dataset containing 151 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Scleranthus perennis",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 151 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028275-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ct6bx29nhf
title: CAI Dataset

description: Data used to generate the plots in the paper
DOI: 10.17632/ct6bx29nhf.1
title: CAI Dataset

description: Data used to generate the plots in the paper
DOI: 10.17632/9sdbz4cyrk
title: Vegetation(NDVI)

description: It is monthly NDVI data from 2001 to 2023 for Ethiopia
DOI: 10.17632/9sdbz4cyrk.2
title: Vegetation(NDVI)

description: It is monthly NDVI data from 2001 to 2023 for Ethiopia
DOI: 10.17632/7jtpvzfwhw
title: Dataset of GFRP-UHPC RILEM beam test bond strength

description: Dataset of GFRP-UHPC RILEM beam test bond strength
DOI: 10.17632/7jtpvzfwhw.1
title: Dataset of GFRP-UHPC RILEM beam test bond strength

description: Dataset of GFRP-UHPC RILEM beam test bond strength
DOI: 10.15468/dl.7uqn3f
title: Occurrence Download

description: A dataset containing 97 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephrolepis biserrata",
 "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 97 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028276-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cfsgv2
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca hortensis",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028277-250920141307145/datasets/export for details.
DOI: 10.17632/7tmt787ym3
title: Layer-Wise Dimensional Control in Wire Arc Additive Manufacturing: A Digital Twin Framework Towards Sustainable Manufacturing

description: Appendix: Unity-based digital shadow with latency-free 3D visualization and color-coded path tracking.
DOI: 10.17632/7tmt787ym3.1
title: Layer-Wise Dimensional Control in Wire Arc Additive Manufacturing: A Digital Twin Framework Towards Sustainable Manufacturing

description: Appendix: Unity-based digital shadow with latency-free 3D visualization and color-coded path tracking.
DOI: 10.17632/66pmryr74x
title: LWM all data

description: Little Woolden Moss (LWM) Care-Peat pilot site GHG and related data, including vegetation and peat cores
DOI: 10.17632/66pmryr74x.1
title: LWM all data

description: Little Woolden Moss (LWM) Care-Peat pilot site GHG and related data, including vegetation and peat cores
DOI: 10.17632/fxcfcgcvyn
title: Winmarleigh All data

description: Winmarleigh Care-Peat pilot site GHG and related data, including vegetation and peat cores
DOI: 10.17632/fxcfcgcvyn.1
title: Winmarleigh All data

description: Winmarleigh Care-Peat pilot site GHG and related data, including vegetation and peat cores
DOI: 10.34740/kaggle/dsv/13204362
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.n2gbdy
title: Occurrence Download

description: A dataset containing 178 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 (Aquilegia saximontana)"
 ]
}

 The dataset includes 178 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028278-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cyy7px2vpx
title: Mineral major and trace elemetn compositons of Abu Dabbab granite, Eastern Desert of Egypt

description: Major and trace elements of muscovite, quartz, cassiterite, chevkinite-group minerals, wodginite, microlite from the Abu Dabbab rare-metal granite, Eastern Desert of Egypt.
DOI: 10.17632/cyy7px2vpx.1
title: Mineral major and trace elemetn compositons of Abu Dabbab granite, Eastern Desert of Egypt

description: Major and trace elements of muscovite, quartz, cassiterite, chevkinite-group minerals, wodginite, microlite from the Abu Dabbab rare-metal granite, Eastern Desert of Egypt.
DOI: 10.7910/dvn/zfra8s
title: Source code and confocal images for: Dynamic dosage changes in X-linked transposable elements during mammalian dosage compensation

description: The R source code and processed intermediate files for all plots in the main figures and supplementary figures.

Confocal images of embryos from 8-cell to early blastocyst stage.
DOI: 10.17632/yxk759v4tk
title: CrackVisual-Dataset-2025: An Image Dataset for Surface Defect (Crack and Seepage) Detection in Foundation Pit Support Systems

description: The CrackVisual-Dataset is a specialized image collection created for training and validating machine vision-based models for detecting surface defects in foundation pit support systems. This dataset supports the research presented in the paper "Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems" and aims to advance research in intelligent construction, particularly for the safety monitoring of excavation engineering.
DOI: 10.15468/dl.vgp9uc
title: Occurrence Download

description: A dataset containing 460 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nephrolepis brownii",
 "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 460 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028279-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/yxk759v4tk.1
title: CrackVisual-Dataset-2025: An Image Dataset for Surface Defect (Crack and Seepage) Detection in Foundation Pit Support Systems

description: The CrackVisual-Dataset is a specialized image collection created for training and validating machine vision-based models for detecting surface defects in foundation pit support systems. This dataset supports the research presented in the paper "Investigation into enabling machine vision and machine learning technologies for surface defect detection of pit support systems" and aims to advance research in intelligent construction, particularly for the safety monitoring of excavation engineering.
DOI: 10.5281/zenodo.15222095
title: Fecal detection of calprotectin subunits links IBD activity with chronicity of intestinal inflammation

description: The repository contains the processed bulk RNAseq and scRNAseq data files associated with the article link_to_article_DOI.
DOI: 10.17632/djdg2d3rbz
title: Urban Energy Load Dataset of Chattogram: Peak and Off-Peak Variability Insights

description: The dataset from the Chattogram office of the Power Grid Company of Bangladesh (PGCB) covers the time period of January 1, 2021, to June 30, 2023. It records the daily electricity demand for one of the most economically important regions of the country. To strengthen the dataset for forecasting, meteorological variables from the NASA POWER database were incorporated, which allowed for a comprehensive evaluation of the climate demand variables. 

The Chattogram region has emerged as one of Bangladesh’s most significant industrial and commercial hubs. Driven by rapid urbanization, expanding industrial operations, and increasing residential consumption, electricity demand in the region has been steadily rising. To ensure that this growth does not result in frequent load shedding or unstable power supply, it is essential to carefully manage demand. In support of this objective, the Chattogram office of the Power Grid Company of Bangladesh (PGCB) supplied data spanning January 1, 2021, to June 30, 2023. This dataset documents electricity consumption across three distinct time windows: day peak (9 AM-5 PM), evening peak (6 PM-9 PM) and off-peak (10 PM-8 AM). It also captures fluctuations in demand shaped by industrial activity, household usage and baseline requirements, thereby offering insights into load variations over the study period.

To enrich the demand analysis, meteorological variables were incorporated into the dataset, sourced from NASA’s POWER (Prediction of Worldwide Energy Resources) database. These variables include temperature, dew point, frost point, dry-bulb and wet-bulb temperatures, earth skin temperature, maximum and minimum temperatures, specific humidity, relative humidity, and precipitation. Together, these meteorological factors strengthen the analytical framework for understanding patterns of urban energy consumption.

The uniqueness of this dataset lies in its integration of meteorological conditions with daily peak and off-peak demand records. This combination provides a robust foundation for exploring the complex interplay between weather and electricity use. Furthermore, the dataset is highly suitable for developing advanced forecasting models that incorporate both linear and nonlinear components, enhancing predictive accuracy in the medium term. Such models can play a critical role in advancing energy efficiency, strengthening climate resilience and improving grid reliability within one of Bangladesh’s fastest-growing urban centers.

For work done on this data, refer to: https://doi.org/10.1016/j.rineng.2025.107245
DOI: 10.17632/djdg2d3rbz.1
title: Urban Energy Load Dataset of Chattogram: Peak and Off-Peak Variability Insights

description: The dataset from the Chattogram office of the Power Grid Company of Bangladesh (PGCB) covers the time period of January 1, 2021, to June 30, 2023. It records the daily electricity demand for one of the most economically important regions of the country. To strengthen the dataset for forecasting, meteorological variables from the NASA POWER database were incorporated, which allowed for a comprehensive evaluation of the climate demand variables. 

The Chattogram region has emerged as one of Bangladesh’s most significant industrial and commercial hubs. Driven by rapid urbanization, expanding industrial operations, and increasing residential consumption, electricity demand in the region has been steadily rising. To ensure that this growth does not result in frequent load shedding or unstable power supply, it is essential to carefully manage demand. In support of this objective, the Chattogram office of the Power Grid Company of Bangladesh (PGCB) supplied data spanning January 1, 2021, to June 30, 2023. This dataset documents electricity consumption across three distinct time windows: day peak (9 AM-5 PM), evening peak (6 PM-9 PM) and off-peak (10 PM-8 AM). It also captures fluctuations in demand shaped by industrial activity, household usage and baseline requirements, thereby offering insights into load variations over the study period.

To enrich the demand analysis, meteorological variables were incorporated into the dataset, sourced from NASA’s POWER (Prediction of Worldwide Energy Resources) database. These variables include temperature, dew point, frost point, dry-bulb and wet-bulb temperatures, earth skin temperature, maximum and minimum temperatures, specific humidity, relative humidity, and precipitation. Together, these meteorological factors strengthen the analytical framework for understanding patterns of urban energy consumption.

The uniqueness of this dataset lies in its integration of meteorological conditions with daily peak and off-peak demand records. This combination provides a robust foundation for exploring the complex interplay between weather and electricity use. Furthermore, the dataset is highly suitable for developing advanced forecasting models that incorporate both linear and nonlinear components, enhancing predictive accuracy in the medium term. Such models can play a critical role in advancing energy efficiency, strengthening climate resilience and improving grid reliability within one of Bangladesh’s fastest-growing urban centers.

For work done on this data, refer to: https://doi.org/10.1016/j.rineng.2025.107245
DOI: 10.15468/dl.3qp5ym
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028280-250920141307145/datasets/export for details.
DOI: 10.15468/dl.7s554h
title: Occurrence Download

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

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028281-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.tdjmze
title: Occurrence Download

description: A dataset containing 24 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Stellaria holostea",
 "Country is United States of America",
 "HasCoordinate is true"
 ]
}

 The dataset includes 24 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028282-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bkm8vc
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Curruca crassirostris",
 "Country is one of (Brunei Darussalam, Indonesia, Philippines, Timor-Leste, Singapore)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028283-250920141307145/datasets/export for details.
DOI: 10.17632/7fbjppntt8
title: data for "Barium isotopes reveal ubiquitous recycled oceanic crust in the deep mantle"

description: This is a data set for "Barium isotopes reveal ubiquitous recycled oceanic crust in the deep mantle"
DOI: 10.17632/7fbjppntt8.1
title: data for "Barium isotopes reveal ubiquitous recycled oceanic crust in the deep mantle"

description: This is a data set for "Barium isotopes reveal ubiquitous recycled oceanic crust in the deep mantle"
DOI: 10.17632/8fh8wtn6p5.2
title: Enterprise ESG and Multivariate Characteristics Dataset

description: This database contains a variety of variables for corporate research. The dependent variable is the overall ESG performance of enterprises (ESG), which is measured by the Huazheng ESG Index. The score ranges from 0 to 100, reflecting the enterprises' performance in the aspects of environment, society, and governance. The independent variables mainly involve the political status of enterprises (PLC) and the level of political status (PLC_level). In addition, there are numerous control variables, such as the age of entrepreneurs (Age_e), gender (Female), educational background (Edu), Party membership status (Cpc), as well as enterprise size (Size), profitability (ROA), growth (Growth), cash flow level (Cash), capital structure (lev), and corporate age (Age_c). The grouping variables include the type of enterprise (SOE) and enterprise scale (Scale), while the mediating variables are business entertainment expenses (BE) and government subsidies (GS). These variables describe and analyze enterprises from different dimensions, providing rich data support for researching corporate-related topics.
DOI: 10.17632/ywx5ryj6v3
title: Article Dataset for AAL and Active Aging

description: This dataset contains metadata of publicly available datasets relevant to Ambient Assisted Living (AAL) and Active Aging research.
Each entry provides information such as dataset name, modality (video, audio, multimodal), task type (fall detection, activity recognition, health monitoring), participant characteristics, environment (home, lab, outdoor), size, year of release, geographic origin, accessibility status, and reference link.

The dataset is provided in .xlsx format with accompanying summary figures (PDF) illustrating modality distribution, dataset tasks, geographic spread, and annotation types.
DOI: 10.17632/ywx5ryj6v3.1
title: Article Dataset for AAL and Active Aging

description: This dataset contains metadata of publicly available datasets relevant to Ambient Assisted Living (AAL) and Active Aging research.
Each entry provides information such as dataset name, modality (video, audio, multimodal), task type (fall detection, activity recognition, health monitoring), participant characteristics, environment (home, lab, outdoor), size, year of release, geographic origin, accessibility status, and reference link.

The dataset is provided in .xlsx format with accompanying summary figures (PDF) illustrating modality distribution, dataset tasks, geographic spread, and annotation types.
DOI: 10.17632/xw58vks8jc.1
title: Table (Cross-Border Trade)

description: The table contains information on major export commodities passing through PLBN as well as regulatory and infrastructure challenges.
DOI: 10.6084/m9.figshare.30230602
title: Demo Social Mice

description: Demo video of Social Mice
DOI: 10.6084/m9.figshare.30230602.v1
title: Demo Social Mice

description: Demo video of Social Mice
DOI: 10.17632/36t2zgfxfr
title: Figure (Cross-border trade)

description: Figures on Research Topic on Border Trade in Southeast Asia in Five Years and challenges in cross-border trade
DOI: 10.17632/36t2zgfxfr.1
title: Figure (Cross-border trade)

description: Figures on Research Topic on Border Trade in Southeast Asia in Five Years and challenges in cross-border trade
DOI: 10.17632/b9j5t853n8
title: References (Cross-Border Trade)

description: Data of references
DOI: 10.17632/b9j5t853n8.1
title: References (Cross-Border Trade)

description: Data of references