cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rbf5vyytc8.1
title: data

description: The hypotheses in this study are based on the assumption that agricultural adaptation policies serve as effective measures with multifaceted positive impacts on sustainable development. Firstly, these policies are expected to enhance the sustainability of farmers' incomes by reducing vulnerability to climate change and increasing resource productivity, thereby ensuring economic stability for farmers. Moreover, adaptation policies play a key role in controlling and mitigating adverse environmental impacts, such as reducing soil erosion, preserving biodiversity, and improving natural resource management. Additionally, these policies can improve food security by ensuring sustainable production and stabilizing food supply chains. Finally, a crucial component of these policies is promoting integrated management of renewable and non-renewable resources, providing a foundation for optimal and synergistic use of available resources. Through this approach, adaptation policies create conditions for a sustainable, comprehensive, and resilient development that is effective both economically and environmentally
DOI: 10.17632/ptmbv4hcw7
title: Replication data for "The Nonlinear Relationship Between Financial Inclusion and Foreign Direct Investment in Asian Nations: Evidence From Panel-Corrected Standard Errors Estimations""
DOI: 10.5281/zenodo.17226174
title: Data of Slope Moisture Response and Slope Surface Evolution from Artificial Rainfall-Induced Landslide Flume Experiments

description: These data shows the slope's response to artificial rainfall under different experimental scenarios (T1, T2, T3) by monitoring internal moisture changes with sensors and tracking surface morphology evolution via video. The three scenarios denote a single-layer slope, a double-layer slope, and a double-layer slope with a pre-set crack, respectively.
DOI: 10.17632/ptmbv4hcw7.1
title: Replication data for "The Nonlinear Relationship Between Financial Inclusion and Foreign Direct Investment in Asian Nations: Evidence From Panel-Corrected Standard Errors Estimations""
DOI: 10.5281/zenodo.17226175
title: Data of Slope Moisture Response and Slope Surface Evolution from Artificial Rainfall-Induced Landslide Flume Experiments

description: These data shows the slope's response to artificial rainfall under different experimental scenarios (T1, T2, T3) by monitoring internal moisture changes with sensors and tracking surface morphology evolution via video. The three scenarios denote a single-layer slope, a double-layer slope, and a double-layer slope with a pre-set crack, respectively.
DOI: 10.17632/rzz7jf94b2
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Spatial Component Isometrics - Case 1PHTR1
DOI: 10.17632/rzz7jf94b2.1
title: Volumetric Behaviour Analysis (VBA) of Hong Kong Public Housing Flats - Spatial Component Isometrics - Case 1PHTR1
DOI: 10.15468/dl.sc2uqv
title: Occurrence Download

description: A dataset containing 210196 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "OccurrenceStatus is Present",
 "TaxonKey is Rhus",
 "Year 1000-2025"
 ]
}

 The dataset includes 210196 records from 485 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029645-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ztg7pxr6ch.1
title: STT3A is essential for Wnt signaling and represents a target for cancers driven by RNF43 deficiency

description: This dataset contains the original raw and analyzed data supporting the manuscript “STT3A is essential for Wnt signaling and represents a target for cancers driven by RNF43 deficiency”. The study identifies STT3A as an essential regulator of the Wnt signaling pathway and a potential therapeutic target for RNF43-deficient cancers. Included data were generated from key experiments, including Wnt reporter assays (DDT), Western blotting (WB), and CRISPR screen, and other experiments central to the study
DOI: 10.15468/dl.sdf3ks
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Zosterops sanctaecrucis",
 "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/0029723-250920141307145/datasets/export for details.
DOI: 10.15468/dl.xg9s8b
title: Occurrence Download

description: A dataset containing 1603 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Podarcis carbonelli)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1603 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029726-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5b5rfncwb6
title: HazeBench: A Novel Dataset for Image and Video Dehazing in Natural Environments

description: Hazy conditions make computer vision tasks difficult, especially when working with real-world videos. Although many video dehazing algorithms have been proposed, their progress is limited by the lack of large, real-world hazy video datasets. To fill this gap, we introduce HazeBench, a dataset compiled from real-world footage captured under various environmental conditions. Unlike many existing datasets, HazeBench does not use ground-truth clear videos, making it more representative of real haze situations. The dataset includes 153 videos (1-15 seconds each) and 65,078 images, grouped into five scene categories: Indoor, Mountains, Night, Road, and Rural Areas. We describe how the dataset was collected, highlight its main features, and show its usefulness through benchmark experiments with video dehazing algorithms. HazeBench provides a valuable resource for developing and testing dehazing methods and supports more reliable computer vision applications in real-world environments.
DOI: 10.17632/5b5rfncwb6.1
title: HazeBench: A Novel Dataset for Image and Video Dehazing in Natural Environments

description: Hazy conditions make computer vision tasks difficult, especially when working with real-world videos. Although many video dehazing algorithms have been proposed, their progress is limited by the lack of large, real-world hazy video datasets. To fill this gap, we introduce HazeBench, a dataset compiled from real-world footage captured under various environmental conditions. Unlike many existing datasets, HazeBench does not use ground-truth clear videos, making it more representative of real haze situations. The dataset includes 153 videos (1-15 seconds each) and 65,078 images, grouped into five scene categories: Indoor, Mountains, Night, Road, and Rural Areas. We describe how the dataset was collected, highlight its main features, and show its usefulness through benchmark experiments with video dehazing algorithms. HazeBench provides a valuable resource for developing and testing dehazing methods and supports more reliable computer vision applications in real-world environments.
DOI: 10.17632/7zryc6k76z.2
title: IGAR: Indonesian Government App Review Dataset

description: This dataset contains review of Government application in Indonesia such as JMO, Satusehat, MobileJKN, MyPertamina, KAI, and BMKG. This dataset is collected from Google Play Store which is designed for sentiment analysis task. The objective of this dataset is to understand user sentiment abased on review, improving government service quality. This dataset serves as a valuable resource for researchers and practitioners in the fields of sentiment analysis, natural language processing (NLP), and public service evaluation.
DOI: 10.17632/hhz98tncwg.1
title: Dataset for the assessment of NOx emissions from firing various nitrogen-rich agricultural residues

description: The dataset includes fuel characteristics, boiler operating conditions and gaseous emissions from a variety of solid biofuels labelled as: SP – spruce pellets (referential biofuel), MA – Melilotus albus (4 different samples), PS – Papaver somniferum (3 different samples), MS – Medicago sativa, ML – Medicago lupulina and SA – Sinapis alba. The presented data set is divided into three basic files: (1) Proximate and ultimate analysis; (2) Boiler operating conditions; (3) Gaseous emissions.
DOI: 10.15468/dl.hrx5dw
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Chaetoceros lacinosus",
 "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 4 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029727-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/bh3xspzhhf
title: Data on the influence of climatic factors and the leaf miner Cameraria ohridella on growth and condition of European horse-chestnut Aesculus hippocastanum_Straw and Williams 2025

description: Raw data on the percentage leaf area damaged by Cameraria ohridella from 2003 to 2023, and corresponding measurements of radial increment and percentage crown density of Aesculus hippocastanum.
DOI: 10.17632/bh3xspzhhf.1
title: Data on the influence of climatic factors and the leaf miner Cameraria ohridella on growth and condition of European horse-chestnut Aesculus hippocastanum_Straw and Williams 2025

description: Raw data on the percentage leaf area damaged by Cameraria ohridella from 2003 to 2023, and corresponding measurements of radial increment and percentage crown density of Aesculus hippocastanum.
DOI: 10.15468/dl.ce39gp
title: Occurrence Download

description: A dataset containing 500 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 (Dryopteris celsa)"
 ]
}

 The dataset includes 500 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029728-250920141307145/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.30233908
title: PBMC

description: PBMC
DOI: 10.6084/m9.figshare.30233908.v1
title: PBMC

description: PBMC
DOI: 10.15468/dl.6rkhtj
title: Occurrence Download

description: A dataset containing 2509 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is France",
 "TaxonKey is Laminaria digitata"
 ]
}

 The dataset includes 2509 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029729-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17226210
title: Social disparities in triple-negative breast cancer

description: Dataset for the research entitled "Social disparities in triple-negative breast cancer incidence and severity at diagnosis in Greater Paris, France: confronting race and ethnic blindness.
DOI: 10.5281/zenodo.17226211
title: Social disparities in triple-negative breast cancer

description: Dataset for the research entitled "Social disparities in triple-negative breast cancer incidence and severity at diagnosis in Greater Paris, France: confronting race and ethnic blindness.
DOI: 10.17632/fsfskv9hs9
title: Risk factors for malnutrition in children with cancer: a prospective, single-center, cohort study

description: A prospective, single-center, continuous cohort study was conducted from January 2023 to January 2024 at the Research Institute of Pediatric Oncology and Hematology, N.N. Blokhin NMRCO, among children aged 0 to 18 years with malignant neoplasms.
DOI: 10.17632/fsfskv9hs9.1
title: Risk factors for malnutrition in children with cancer: a prospective, single-center, cohort study

description: A prospective, single-center, continuous cohort study was conducted from January 2023 to January 2024 at the Research Institute of Pediatric Oncology and Hematology, N.N. Blokhin NMRCO, among children aged 0 to 18 years with malignant neoplasms.
DOI: 10.17632/hsj38fwnvr.1
title: Gender-Specific Normal Feet Image Dataset for Baseline Medical Analysis

description: This dataset consists of normal (healthy) feet images collected from both male and female participants. It is intended to serve as the normal class for lower limb and foot wound image datasets. The images were collected at Bangladesh University of Business and Technology (BUBT). The dataset includes 388 female samples and 991 male samples, each containing images of both the left and right feet in healthy condition. In total, there are 1,981 raw images for males and 776 raw images for females, all captured at a resolution of 1536×2040 or 2040×1536 pixels in JPG format, with a total dataset size of approximately 1.63 GB.

This dataset can be used as a baseline or sub-class for wound-related image datasets, such as the publicly available Kaggle Wound Segmentation Dataset: https://www.kaggle.com/datasets/leoscode/wound-segmentation-images
DOI: 10.15468/dl.fwsvxz
title: Occurrence Download

description: A dataset containing 274 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ceratocephala orthoceras",
 "Country is Canada",
 "HasCoordinate is true"
 ]
}

 The dataset includes 274 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029730-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.16754570
title: Additional Data: De Novo Annotation Reveals Transcriptomic Complexity Across the Hexaploid Wheat Pan-Genome

description: Wheat is the most widely cultivated crop in the world, with over 215 million hectares grown annually. The 10+ Wheat Genomes Project recently sequenced and assembled to chromosome-level the genomes of nine wheat cultivars, uncovering genetic diversity and selection within the pan-genome of wheat. Here, we provide a wheat pan-transcriptome with de novo annotation and differential expression analysis for these wheat cultivars across multiple tissues. Analysis of these de novo annotations facilitated the identification of cultivar-specific genes and defined the core and dispensable genomes. Expression analysis across cultivars and tissues revealed conservation in expression between a large core set of homeologous genes, but also widespread changes in subgenome homeolog expression bias between cultivars and cultivar-specific expression profiles. In a case study utilising both the newly constructed gene-based wheat pan-genome and pan-transcriptome, we demonstrate variation in the prolamin superfamily and immune-reactive proteins across cultivars.The datasets provided here are detailed in _README_contents.xlsx
DOI: 10.5281/zenodo.16964999
title: Additional Data: De Novo Annotation Reveals Transcriptomic Complexity Across the Hexaploid Wheat Pan-Genome

description: Wheat is the most widely cultivated crop in the world, with over 215 million hectares grown annually. The 10+ Wheat Genomes Project recently sequenced and assembled to chromosome-level the genomes of nine wheat cultivars, uncovering genetic diversity and selection within the pan-genome of wheat. Here, we provide a wheat pan-transcriptome with de novo annotation and differential expression analysis for these wheat cultivars across multiple tissues. Analysis of these de novo annotations facilitated the identification of cultivar-specific genes and defined the core and dispensable genomes. Expression analysis across cultivars and tissues revealed conservation in expression between a large core set of homeologous genes, but also widespread changes in subgenome homeolog expression bias between cultivars and cultivar-specific expression profiles. In a case study utilising both the newly constructed gene-based wheat pan-genome and pan-transcriptome, we demonstrate variation in the prolamin superfamily and immune-reactive proteins across cultivars.The datasets provided here are detailed in _README_contents.xlsx
DOI: 10.15468/dl.daws2x
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029731-250920141307145/datasets/export for details.
DOI: 10.17632/52y4fprxfs
title: The negative influence of governance subsidies on organizational resilience: evidence from stock price reactions to COVID-19 pandemic

description: We hereby provide a comprehensive replication package for this study, hosted on Mendeley Data. The package includes all necessary data, code, and documentation to ensure full reproducibility of our empirical results.
DOI: 10.17632/52y4fprxfs.2
title: The negative influence of governance subsidies on organizational resilience: evidence from stock price reactions to COVID-19 pandemic

description: We hereby provide a comprehensive replication package for this study, hosted on Mendeley Data. The package includes all necessary data, code, and documentation to ensure full reproducibility of our empirical results.
DOI: 10.17632/g23yfws44t
title: Data Set: Body size and vegetation greenness shape activity patterns of ungulates in semi-arid African savannas

description: Species captures lists the camera trap records for each species at each location. Linear Model Variables lists the inputs required to run the linear model, including predictor variables.

Abstract: Flexibility in ungulate behaviour allows their persistence in environments with varying threats and constraints. We explored the relationship between activity patterns and body size of ungulates in the highly seasonal, semi-arid Kalahari, with the aim to identify drivers influencing their diel cycles. Using camera traps and the Watson’s U2 test, we compared the activity patterns of four ungulate species ranging in body size from the steenbok (Raphicerus campestris, 11 kg), springbok (Antidorcas marsupialis, 27 kg), gemsbok (Oryx gazella, 162 kg) to the eland (Tragelaphus oryx, 393 kg). Our linear model showed that vegetation greenness (Enhanced Vegetation Index) and the magnitude of difference in body size were important predictors of ungulate activity. Ungulates more similar in body size had similar 24-hr activity patterns when vegetation greenness was relatively high (gemsbok vs springbok U2 = 0.028, coefficient of overlap = 0.9, 95% CI: 0.78 – 0.98; springbok vs steenbok U2 = 0.066, coefficient of overlap = 0.85, 95% CI: 0.71 – 0.95), but distinctly different 24-hr activity patterns during periods of reduced vegetation greenness (gemsbok vs springbok U2 = 3.171, coefficient of overlap = 0.6, 95% CI: 0.53 – 0.66; springbok vs steenbok U2 = 0.612, coefficient of overlap = 0.59, 95% CI: 0.46 – 0.73). Neither steenbok, nor eland, changed their activity patterns when vegetation greenness was reduced, while springbok and gemsbok became more crepuscular and nocturnal respectively. Ungulate activity patterns in the hot and semi-arid Kalahari may therefore be influenced by resource competition, mediated by ungulate body size and changes in vegetation greenness.
DOI: 10.15468/dl.gbvzpv
title: Occurrence Download

description: A dataset containing 1942 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Podarcis guadarramae)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 1942 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029732-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/g23yfws44t.1
title: Data Set: Body size and vegetation greenness shape activity patterns of ungulates in semi-arid African savannas

description: Species captures lists the camera trap records for each species at each location. Linear Model Variables lists the inputs required to run the linear model, including predictor variables.

Abstract: Flexibility in ungulate behaviour allows their persistence in environments with varying threats and constraints. We explored the relationship between activity patterns and body size of ungulates in the highly seasonal, semi-arid Kalahari, with the aim to identify drivers influencing their diel cycles. Using camera traps and the Watson’s U2 test, we compared the activity patterns of four ungulate species ranging in body size from the steenbok (Raphicerus campestris, 11 kg), springbok (Antidorcas marsupialis, 27 kg), gemsbok (Oryx gazella, 162 kg) to the eland (Tragelaphus oryx, 393 kg). Our linear model showed that vegetation greenness (Enhanced Vegetation Index) and the magnitude of difference in body size were important predictors of ungulate activity. Ungulates more similar in body size had similar 24-hr activity patterns when vegetation greenness was relatively high (gemsbok vs springbok U2 = 0.028, coefficient of overlap = 0.9, 95% CI: 0.78 – 0.98; springbok vs steenbok U2 = 0.066, coefficient of overlap = 0.85, 95% CI: 0.71 – 0.95), but distinctly different 24-hr activity patterns during periods of reduced vegetation greenness (gemsbok vs springbok U2 = 3.171, coefficient of overlap = 0.6, 95% CI: 0.53 – 0.66; springbok vs steenbok U2 = 0.612, coefficient of overlap = 0.59, 95% CI: 0.46 – 0.73). Neither steenbok, nor eland, changed their activity patterns when vegetation greenness was reduced, while springbok and gemsbok became more crepuscular and nocturnal respectively. Ungulate activity patterns in the hot and semi-arid Kalahari may therefore be influenced by resource competition, mediated by ungulate body size and changes in vegetation greenness.
DOI: 10.17632/92htb8dzw3
title: The West Kunlun Paleo-Tethys magmatic rocks

description: Zircon U-Pb, Lu-Hf isotope compositions, whole rock geochemistry, zircon trace elements, apatite and amphibole major element composition for Carboniferous and Triassic magmatic rocks in the West Kunlun Paleo-Tethys.
DOI: 10.17632/92htb8dzw3.1
title: The West Kunlun Paleo-Tethys magmatic rocks

description: Zircon U-Pb, Lu-Hf isotope compositions, whole rock geochemistry, zircon trace elements, apatite and amphibole major element composition for Carboniferous and Triassic magmatic rocks in the West Kunlun Paleo-Tethys.