cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/72j776c9jc.1
title: Inhaled S-nitrosoglutathione in asthma: AirwayAKR1A1 expression and determinants of the human bronchodilator response.

description: Asthma is characterized by airway inflammation and bronchoconstriction. Recent therapies have addressed inflammation, but few innovations have targeted bronchoconstriction. S-Nitrosoglutathione (GSNO), an endogenous bronchial smooth muscle relaxant, is deficient in asthmatic populations and impacts β2-adrenergic responsivity. However, inhaled GSNO (iGSNO) has not been studied in human asthma. Here we found that iGSNO increased forced expiratory volume at one second (FEV1) in asthmatic subjects and the magnitude of increase was linearly related, and additive, to inhaled β2-agonists. Spatial transcriptomic analysis of endobronchial biopsies revealed that AKR1A1, encoding a GSNO degrading enzyme, was upregulated in airway epithelium, and higher AKR1A1 expression was associated with reduced iGSNO bronchodilation. Conversely, sustained elevation in FeNO (fraction of exhaled NO) after iGSNO, indicative of reduced GSNO catabolism, served as a biomarker for iGSNO effectiveness. Thus, iGSNO could represent a novel, personalized asthma therapy, potentially combined with AKR1A1 inhibition.
DOI: 10.17632/26nvt3t27m
title: FlowerNet: A Multi-Class Flower Image Dataset for Deep Learning-Based Classification

description: Description
This dataset contains images of five different flower species Rose, Chrysanthemum, Hibiscus, Marigold, and Petunia collected from local gardens, nurseries, and agricultural fields. The dataset is curated for flower classification and recognition using computer vision techniques. It includes both original and augmented images, making it suitable for deep learning applications.

Dataset Composition:

Original Dataset:

Rose: 268 images

Chrysanthemum: 291 images

Hibiscus: 197 images

Marigold: 335 images

Petunia: 309 images

Augmented Dataset:

Rose: 1,072 images

Chrysanthemum: 1,164 images

Hibiscus: 788 images

Marigold: 1,340 images

Petunia: 1,236 images

Total Images: 7,000

File Format: JPG/PNG

Potential Applications:

Computer vision-based flower classification

Plant quality and health assessment

Deep learning model training for agricultural product classification
DOI: 10.17632/26nvt3t27m.2
title: FlowerNet: A Multi-Class Flower Image Dataset for Deep Learning-Based Classification

description: Description
This dataset contains images of five different flower species Rose, Chrysanthemum, Hibiscus, Marigold, and Petunia collected from local gardens, nurseries, and agricultural fields. The dataset is curated for flower classification and recognition using computer vision techniques. It includes both original and augmented images, making it suitable for deep learning applications.

Dataset Composition:

Original Dataset:

Rose: 268 images

Chrysanthemum: 291 images

Hibiscus: 197 images

Marigold: 335 images

Petunia: 309 images

Augmented Dataset:

Rose: 1,072 images

Chrysanthemum: 1,164 images

Hibiscus: 788 images

Marigold: 1,340 images

Petunia: 1,236 images

Total Images: 7,000

File Format: JPG/PNG

Potential Applications:

Computer vision-based flower classification

Plant quality and health assessment

Deep learning model training for agricultural product classification
DOI: 10.17632/36pc7s2hd2.1
title: Supplementary data for meta analysis of S. aureus and AD

description: Supplementary files for manuscript "Correlation between Staphylococcus aureus Colonization and Disease Severity in Atopic Dermatitis: A Systematic Review and Meta-Analysis of Randomized Controlled Trials"
DOI: 10.17632/ygjcv854th
title: Impact of digital economy on innovation and entrepreneurship: Evidence from China

description: Impact of digital economy on innovation and entrepreneurship: Evidence from China
DOI: 10.25345/c5gm8222s
title: MassIVE Reanalysis RMSV000000702.1 - Kudakwashe Nyambo re-analysis
title: ranulomas are the pathological hallmark of tuberculosis (TB). However, their function and mechanisms of formation remain poorly understood. To understand the role of granulomas in TB, we analyzed the proteomes of granulomas from TB patients in an unbiased fashion. Using laser capture microdissection and mass spectrometry , we generated detailed molecular maps of human granulomas. We found that the centers of granulomas possess a pro-inflammatory environment characterized by anti-microbial peptides, ROS and pro-inflammatory eicosanoids. Conversely, the tissue surrounding the caseum possesses a comparatively anti-inflammatory signature. [dataset license: CC0 1.0 Universal (CC0 1.0)]
DOI: 10.17632/ygjcv854th.1
title: Impact of digital economy on innovation and entrepreneurship: Evidence from China

description: Impact of digital economy on innovation and entrepreneurship: Evidence from China
DOI: 10.17632/27yrbjwjw5
title: Cognitive processing therapy for firefighters with subthreshold PTSD in China: A case report

description: PCL-5 and PHQ-9 scores of the client in each session.
DOI: 10.17632/27yrbjwjw5.1
title: Cognitive processing therapy for firefighters with subthreshold PTSD in China: A case report

description: PCL-5 and PHQ-9 scores of the client in each session.
DOI: 10.17632/rcr5cpwmwt
title: Suspended sediment load in the Po River (Italy) over the last 100 years

description: Dataset on annual suspended sediment load (average turbidity, suspended sediment yield) and water discharge (maximum, mean, cumulative) collected at two monitoring stations along the Po River (Italy) over the past 100 years. The data were processed by the author from raw records published in the Italian Hydrological Annals (Annali Idrologici).
DOI: 10.17632/rcr5cpwmwt.1
title: Suspended sediment load in the Po River (Italy) over the last 100 years

description: Dataset on annual suspended sediment load (average turbidity, suspended sediment yield) and water discharge (maximum, mean, cumulative) collected at two monitoring stations along the Po River (Italy) over the past 100 years. The data were processed by the author from raw records published in the Italian Hydrological Annals (Annali Idrologici).
DOI: 10.17632/4p7hmw86nb
title: Survey Based Data on Sovereign Debt Risk Likelihood in Bangladesh

description: This dataset contains 650 survey responses collected to assess perceptions of sovereign debt risk and the perceived likelihood of debt-related distress in Bangladesh. The instrument collects respondent demographics (e.g., age, gender, education, occupation), awareness of macroeconomic indicators, and Likert-scale items measuring perceived likelihood and severity of sovereign debt risk, policy expectations and recommended responses. Responses were collected between 1 April 2025 and 31 July 2025. All responses have been anonymized and aggregated where necessary to protect respondent identity.
DOI: 10.17632/4p7hmw86nb.1
title: Survey Based Data on Sovereign Debt Risk Likelihood in Bangladesh

description: This dataset contains 650 survey responses collected to assess perceptions of sovereign debt risk and the perceived likelihood of debt-related distress in Bangladesh. The instrument collects respondent demographics (e.g., age, gender, education, occupation), awareness of macroeconomic indicators, and Likert-scale items measuring perceived likelihood and severity of sovereign debt risk, policy expectations and recommended responses. Responses were collected between 1 April 2025 and 31 July 2025. All responses have been anonymized and aggregated where necessary to protect respondent identity.
DOI: 10.17632/5nd4sdfb7s
title: Sample Dataset (20%) – Leadership in Geopolitical Turmoil: An Integrative Review and Future Research Agenda

description: 20% Data Coding for the 2027 Leadership Quarterly Yearly Review (LQYR) Issue
DOI: 10.17632/5nd4sdfb7s.1
title: Sample Dataset (20%) – Leadership in Geopolitical Turmoil: An Integrative Review and Future Research Agenda

description: 20% Data Coding for the 2027 Leadership Quarterly Yearly Review (LQYR) Issue
DOI: 10.17632/92326vy4g6
title: Drwesh et al. 2025. Methological Validation Miro1

description: Please find quantification data for main dataset from Drwesh et al. Methodological validation of Miro1 retention as a candidate Parkinson’s disease biomarker. This is also available as supplementary data file at NPJ Parkinson's online. We will update this Excel file with any further information regarding polygenic risk etc. 
Please also find raw image data for blots shown in the paper with annotation.
DOI: 10.17632/92326vy4g6.1
title: Drwesh et al. 2025. Methological Validation Miro1

description: Please find quantification data for main dataset from Drwesh et al. Methodological validation of Miro1 retention as a candidate Parkinson’s disease biomarker. This is also available as supplementary data file at NPJ Parkinson's online. We will update this Excel file with any further information regarding polygenic risk etc. 
Please also find raw image data for blots shown in the paper with annotation.
DOI: 10.17632/vx72zhmhkd
title: Concern–Adoption–Behavior Pathway in ICT Integration - Tunisia

description: The questionnaire comprised five components: demographic information, the Arabic Stages of Concern Scale (A SoCS), the Arabic Level of Adoption Scale (A LoAS), and the Arabic Orth Behavioral Responses to Change Scale (A OBFCS) with resistance and support subscales.
DOI: 10.17632/vx72zhmhkd.1
title: Concern–Adoption–Behavior Pathway in ICT Integration - Tunisia

description: The questionnaire comprised five components: demographic information, the Arabic Stages of Concern Scale (A SoCS), the Arabic Level of Adoption Scale (A LoAS), and the Arabic Orth Behavioral Responses to Change Scale (A OBFCS) with resistance and support subscales.
DOI: 10.17632/p7s6h2yxj9
title: Noel_etal_HealthInsuranceCoverage_Vitiligo_AD_SupplMaterial

description: Supplemental Material for JAAD manuscript, "Health Insurance Coverage of Topical Medications in Vitiligo and Atopic Dermatitis"
DOI: 10.17632/p7s6h2yxj9.1
title: Noel_etal_HealthInsuranceCoverage_Vitiligo_AD_SupplMaterial

description: Supplemental Material for JAAD manuscript, "Health Insurance Coverage of Topical Medications in Vitiligo and Atopic Dermatitis"
DOI: 10.17632/kc8npzbw4n
title: Data associated with manuscript "Hydrogen, Single-Carbon Compounds, and Thermal Regime in the Oceanic Ultramafic-Dominated Lithosphere: Insights from a Deep Borehole on the Atlantis Massif"

description: Tables associated with submitted manuscript "Hydrogen and Single Carbon Constituents in the Oceanic Ultramafic-Dominated Lithosphere" by Susan Q. Lang, C. Geoffrey Wheat, Kristin L. Dickerson, Mark K. Reagan, Ivan P. Savov, Jordyn A. Robare, William J. Brazelton, Johanna Suhonen, Oscar Cavazos, Andrew McCaig, Peter Blum, Natsue Abe, Rémi Coltat, Jeremy R. Deans, Marguerite Godard, Barbara E. John, Frieder Klein, Rebecca Kuehn, Kuan-Yu Lin, C. Johan Lissenberg, Haiyang Liu, Ethan L. Lopes, Toshio Nozaka, William Osborne, Andrew J. Parsons, Vamdev Pathak, Jessica Rodgers, Jeffrey S. Seewald, Kenneth W. Sims, Gordon Southam, Sean Sylva, Fengping Wang
DOI: 10.17632/kc8npzbw4n.1
title: Data associated with manuscript "Hydrogen, Single-Carbon Compounds, and Thermal Regime in the Oceanic Ultramafic-Dominated Lithosphere: Insights from a Deep Borehole on the Atlantis Massif"

description: Tables associated with submitted manuscript "Hydrogen and Single Carbon Constituents in the Oceanic Ultramafic-Dominated Lithosphere" by Susan Q. Lang, C. Geoffrey Wheat, Kristin L. Dickerson, Mark K. Reagan, Ivan P. Savov, Jordyn A. Robare, William J. Brazelton, Johanna Suhonen, Oscar Cavazos, Andrew McCaig, Peter Blum, Natsue Abe, Rémi Coltat, Jeremy R. Deans, Marguerite Godard, Barbara E. John, Frieder Klein, Rebecca Kuehn, Kuan-Yu Lin, C. Johan Lissenberg, Haiyang Liu, Ethan L. Lopes, Toshio Nozaka, William Osborne, Andrew J. Parsons, Vamdev Pathak, Jessica Rodgers, Jeffrey S. Seewald, Kenneth W. Sims, Gordon Southam, Sean Sylva, Fengping Wang
DOI: 10.17632/d75dzbjd4k.10
title: Table of Large Degree/Diameter Graphs

description: A graph, G=(V,E), consists of a non empty finite set V of elements called vertices and a set E of pairs of elements of V called edges. The number of vertices N=|G|=|V| is the order of the graph. If (x,y) is an edge of E, we say that x and y (or y and x) are adjacent and this is usually written x --&gt; y. It is also said that x and y are the endvertices of the edge (x,y). The degree of a vertex δ(x) is the number of vertices adjacent to x. The degree of G is Δ=max_{x ∈ V} δ(x). A graph is regular of degree Δ or Δ - regular if the degree of all vertices equal Δ. The distance between two vertices x and y, d(x,y) , is the number of edges of a shortest path between x and y , and its maximum value over all pair of vertices, D=max_{x, y ∈ V}d(x,y) , is the diameter of the graph. A (Δ,D) graph is a graph with maximum degree Δ and diameter at most D. The order of a graph with degree Δ, Δ &gt; 2), of diameter D is easily seen to be bounded by

1 + Δ + Δ (Δ-1) + ...+ Δ (Δ-1) D-1 = (Δ (Δ-1)D -2) / (Δ-2) = N(Δ, D)

Hoffman and Singleton introduced the concept of Moore graphs, after Edward Forrest Moore, as graphs attaining this value, known as Moore bound. They also showed that, for D ≥ 2 and Δ ≥ 3, Moore graphs exist for D=2 and Δ =3,7 , and (perhaps) 57. In this context, it is of great interest to find graphs which for a given maximum diameter and maximum degree have a number of vertices as close as possible to the Moore bound.

Download the .zip package, unpack it and open in a browser the file 
 table_degree_diameter.html or the file taula_delta_d.html.

The table on that page presents the state of the art, as of September 2025, for the largest known (Δ, D)-graphs.
Entries in boldface are optimal.
Click on a position to view more information about that entry, including graph construction details, the Moore bound, author, references, and more. Entries with a border include a SageMath script to compute their relevant properties. Adjacency lists are available for most graphs with fewer than 20,000 vertices.
By clicking on entry (8,3) = 253, you can access a ZIP file containing the programs used to obtain the results for this graph, as well as for the graphs (3,5), (6,8), (7,6), (7,7), (8,5), (9,4), (10,4), (10,5), (11,5), (12,5), (13,5), (14,5), and (15,5) -- all found by the author in 2024. The C program used is the same as the one that found the entry (8,3) in 1994, with minor modifications to the output.
Journal publications associated with this data:
F. Comellas. Table of large graphs with given degree and diameter. arXiv:2406.18994 [math.CO]. doi: 10.48550/arXiv.2406.18994
F. Comellas. New results on the degree-diameter problem for undirected graphs. Electron. J. Graph Theory Appl. 13 (1) (2025), 211-215. doi:10.5614/ejgta.2025.13.1.14.
DOI: 10.17632/nrnht35zfz
title: Namib Desert Spring Nematodes

description: We investigated nematode communities in microbial mats and sediments from seven hypersaline springs in the Namib Desert of Namibia. We hypothesized that salinity is the primary driver of nematode distribution and abundance in this extreme environment. Five taxa were common in these springs: Monhystrella, Rhabdolaimus, Paracyatholaimus, Ethmolaimus, and Oncholaimus. Their abundance was higher in mats than in sediments but showed no correlation with salinity [measured as electrical conductivity (EC)], while nematode diversity was negatively correlated with EC. The least diverse communities, consisting only of Monhystrella, were found at Welwitschia Wash, a semi-permanent spring in the driest region of the Namib. This nematode was widespread and abundant across all sites, suggesting a potential specialization for hypersaline conditions. Notably, live Monhystrella and Rhabdolaimus were found in sediments under water with EC &gt; 500 mS cm⁻¹, which is the highest salinity nematodes have ever been documented to survive. The densest communities were found in a microbial mat in water at 112 mS cm⁻¹. Hypersalinity does not appear to limit nematode presence or abundance in Namib Desert springs. Our findings expand our understanding of the survival limits for nematodes and the ecology of an understudied animal in springs. Several spring characteristics and water parameters were measured (depth, width, EC, DO, pH, electrical conductivity) and are included in the dataset, as well as abundances of the nematode taxa found.
DOI: 10.17632/nrnht35zfz.1
title: Namib Desert Spring Nematodes

description: We investigated nematode communities in microbial mats and sediments from seven hypersaline springs in the Namib Desert of Namibia. We hypothesized that salinity is the primary driver of nematode distribution and abundance in this extreme environment. Five taxa were common in these springs: Monhystrella, Rhabdolaimus, Paracyatholaimus, Ethmolaimus, and Oncholaimus. Their abundance was higher in mats than in sediments but showed no correlation with salinity [measured as electrical conductivity (EC)], while nematode diversity was negatively correlated with EC. The least diverse communities, consisting only of Monhystrella, were found at Welwitschia Wash, a semi-permanent spring in the driest region of the Namib. This nematode was widespread and abundant across all sites, suggesting a potential specialization for hypersaline conditions. Notably, live Monhystrella and Rhabdolaimus were found in sediments under water with EC &gt; 500 mS cm⁻¹, which is the highest salinity nematodes have ever been documented to survive. The densest communities were found in a microbial mat in water at 112 mS cm⁻¹. Hypersalinity does not appear to limit nematode presence or abundance in Namib Desert springs. Our findings expand our understanding of the survival limits for nematodes and the ecology of an understudied animal in springs. Several spring characteristics and water parameters were measured (depth, width, EC, DO, pH, electrical conductivity) and are included in the dataset, as well as abundances of the nematode taxa found.
DOI: 10.17632/zcshgj7kyy.1
title: Pb(II) adsorption by KOH-modified rice straw biochar from battery wastewater

description: This data is for FTIR spectroscopy, RSM modelling, the influence of factors on adsorption, isotherm, kinetic and thermodynamic modelling, and all tables and figures. FTIR spectra derived from FTIR-RSB (pristine biochar), KRSB (KOH-modified biochar) and KRSB-Pb (modified biochar after Pb adsorption). The FTIR spectra revealed oxygen-containing functional groups (-OH, -COO⁻, C–O–C) that facilitated complexation and precipitation. Five factors (Dose, initial Pb(II) concentration, contact time, temperature, and pH) were used in RSM modeling and optimisation. The resulting model was adequate with high R2 and low p-value. The adsorption followed dual Langmuir-Temkin isotherm models and pseudo-second-order kinetic model. The Pb(II) adsorption was endothermic with negative gibb's free energy.
DOI: 10.17632/sptmxj27kv.1
title: Programming and Artificial Intelligence in Primary Education: A Systematic Review of Opportunities, Challenges, and Contributions to Digital Inclusion

description: This dataset is associated with the manuscript “Programming and Artificial Intelligence in Primary Education: A Systematic Review of Opportunities, Challenges, and Contributions to Digital Inclusion”. It synthesizes studies published between 2021 and 2025 on the integration of programming and artificial intelligence in primary education, highlighting their cognitive and socioemotional impacts, implementation challenges, and contributions to Sustainable Development Goal 4 (SDG 4). The dataset includes the reviewed references and supports future research in digital learning and AI literacy in early schooling.
DOI: 10.17632/zxtm9tmcw7
title: Cell-type-specific RNA polymerase II activity maps in intact tissues provide a gateway to mammalian gene regulatory mechanisms in vivo

description: Western blots and gel images for Figures S1B, S1D, S2B, S2C and S3B
DOI: 10.17632/zxtm9tmcw7.1
title: Cell-type-specific RNA polymerase II activity maps in intact tissues provide a gateway to mammalian gene regulatory mechanisms in vivo

description: Western blots and gel images for Figures S1B, S1D, S2B, S2C and S3B
DOI: 10.17632/csj74tvtm4
title: Dataset: Experimental data and R-scripts for statistical and multivariate analyses for tomato plants under cadmium stress treated with melatonin-loaded silica nanoparticles

description: This dataset contains raw Excel files and R scripts used for statistical and multivariate analyses of studied attributes of tomato plants subjected to cadmium (Cd) stress and treated with melatonin-loaded silica nanoparticles. It includes data for bar, line and box plots, Duncan’s multiple range test (DMRT) results, correlation analyses, principal component analysis (PCA), and heatmap visualizations. The dataset provides a comprehensive resource for reproducing these analysis.
DOI: 10.34711/inptdat.943
title: Modelling microdischarges in metal vapour of cadmium in comparison with electrical measurements - Dataset

description: The dataset provides the data related to the modelling of microdischarges in metal vapour of cadmium. Such microdischarges occur in a testing equipment for the safety assessment of electric devices for explosion protection. A one-dimensional unified non-equilibrium model that resolves the entire discharge gap is employed and simulations are conducted for a constant current of 60mA with gap lengths varying between 20 μm and 160 μm. These conditions match the experiment and enable a comparison with measured data. The predicted discharge voltage obtained as a function of the discharge length is compared to the measurements and shows a good agreement. The model provides the heat generation relevant to the prediction of a gas mixture ignition.
DOI: 10.17632/csj74tvtm4.1
title: Dataset: Experimental data and R-scripts for statistical and multivariate analyses for tomato plants under cadmium stress treated with melatonin-loaded silica nanoparticles

description: This dataset contains raw Excel files and R scripts used for statistical and multivariate analyses of studied attributes of tomato plants subjected to cadmium (Cd) stress and treated with melatonin-loaded silica nanoparticles. It includes data for bar, line and box plots, Duncan’s multiple range test (DMRT) results, correlation analyses, principal component analysis (PCA), and heatmap visualizations. The dataset provides a comprehensive resource for reproducing these analysis.
DOI: 10.17632/7ryvn5gw88.1
title: AUST-Sarc (Emoji-Aware Bangla Sarcasm & Offensiveness)

description: AUST-SARC is a Bangla text dataset for sarcasm and offensiveness detection with explicit emoji context.
Each entry is a short user-generated sentence containing ≥1 emoji, labeled with Sarcasm (1/0) and Offensive (1/0).

Size: 2,649 sentences

Sarcasm distribution: 1 = 1,496, 0 = 1,153

Offensive distribution: 1 = [fill], 0 = [fill]

Language: Bangla (with natural Bangla–English code-mixing)

Preprocessing: emojis preserved; light normalization of URLs/mentions/hashtags; whitespace cleanup.

Intended use: sarcasm detection, offensive/abusive language detection, emoji-aware pragmatics, multitask learning.
Ethics: personally identifying info removed; texts may contain sensitive or offensive content due to the task.
DOI: 10.17632/zwr4ntf94j.3
title: Brain Tumor MRI Dataset (Glioma, Meningioma, Pituitary, No Tumor)

description: This dataset contains 12,064 pre-processed T1-weighted contrast-enhanced MRI brain images, categorized into four classes: Glioma, Meningioma, Pituitary, and No Tumor.
The dataset is split into 80% training data and 20% testing data. Images are organized into subfolders by class.
It is suitable for machine learning and deep learning research in brain tumor classification, tumor detection, and computer-aided diagnosis.
DOI: 10.17632/36fmm8j8mw
title: Disruption of transsulfuration pathway by acute kidney injury causes intestinal damage

description: Raw Sequencing Data and Original western blot images
DOI: 10.17632/36fmm8j8mw.1
title: Disruption of transsulfuration pathway by acute kidney injury causes intestinal damage

description: Raw Sequencing Data and Original western blot images