cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/h5fz6bvrg9
title: Oral spironolactone for acne vulgaris in females: Evidence review and practical recommendations

description: Acne vulgaris is a common condition, and in females, often persists into adulthood. In this review, we evaluate the evidence for the efficacy and safety of oral spironolactone in females with acne vulgaris and provide practical recommendations for prescribing. Medline, Embase, Web of Science, and Cochrane Central Register of Controlled Trials were searched from inception until February 2025, and 16 randomized controlled trials and 52 nonrandomized studies evaluating spironolactone for acne vulgaris in females were identified. Two randomized placebo-controlled trials were of good quality and demonstrated that spironolactone was effective in treating acne at doses of 50 to 100 mg daily. The efficacy of spironolactone appears to be dose dependent, with some evidence that doses above 100 mg daily confer higher benefit. There is evidence from nonrandomized studies that spironolactone is effective for truncal acne and that it is effective in adolescents, although these studies were all found to have either a serious or critical risk of bias using the ROBINS-I tool. Spironolactone is generally well tolerated and at doses of up to 100 mg daily the adverse effect profile is similar to placebo. The most common adverse effects are menstrual irregularities, polyuria, headache, and dizziness.
DOI: 10.17632/h5fz6bvrg9.1
title: Oral spironolactone for acne vulgaris in females: Evidence review and practical recommendations

description: Acne vulgaris is a common condition, and in females, often persists into adulthood. In this review, we evaluate the evidence for the efficacy and safety of oral spironolactone in females with acne vulgaris and provide practical recommendations for prescribing. Medline, Embase, Web of Science, and Cochrane Central Register of Controlled Trials were searched from inception until February 2025, and 16 randomized controlled trials and 52 nonrandomized studies evaluating spironolactone for acne vulgaris in females were identified. Two randomized placebo-controlled trials were of good quality and demonstrated that spironolactone was effective in treating acne at doses of 50 to 100 mg daily. The efficacy of spironolactone appears to be dose dependent, with some evidence that doses above 100 mg daily confer higher benefit. There is evidence from nonrandomized studies that spironolactone is effective for truncal acne and that it is effective in adolescents, although these studies were all found to have either a serious or critical risk of bias using the ROBINS-I tool. Spironolactone is generally well tolerated and at doses of up to 100 mg daily the adverse effect profile is similar to placebo. The most common adverse effects are menstrual irregularities, polyuria, headache, and dizziness.
DOI: 10.17632/fwjpkkc2bp
title: EFFECTIVENESS OF ANTI-VEGF, FOCAL LASER, AND PRP FOR THE TREATMENT OF DIABETIC RETINOPATHY AND DIABETIC MACULAR EDEMA: SYSTEMATIC REVIEW AND NETWORK META-ANALYSIS

description: A search of the database identified 1,119 publications during the screening process, with 99 publications included in the systematic review and 95 publications used in the quantitative analysis. Literature quality analysis was performed using the RoB 2.0 tool and the ROBINS-1 V2 tool, while quantitative analysis was conducted using the RStudio application. The best improvement in BCVA was observed in Brolucizumab+Laser (MD 11.38, 95% CI 6.50–16.25), and the best reduction in central retinal thickness was observed in Aflibercept+Laser (MD -67.96, 95% CI -102.78 – -33.15). In conclusion, anti-VEGF agents can be used, and their efficacy is enhanced when monotherapy drugs such as Brolucizumab and Aflibercept are combined with Laser.
DOI: 10.17632/fwjpkkc2bp.1
title: EFFECTIVENESS OF ANTI-VEGF, FOCAL LASER, AND PRP FOR THE TREATMENT OF DIABETIC RETINOPATHY AND DIABETIC MACULAR EDEMA: SYSTEMATIC REVIEW AND NETWORK META-ANALYSIS

description: A search of the database identified 1,119 publications during the screening process, with 99 publications included in the systematic review and 95 publications used in the quantitative analysis. Literature quality analysis was performed using the RoB 2.0 tool and the ROBINS-1 V2 tool, while quantitative analysis was conducted using the RStudio application. The best improvement in BCVA was observed in Brolucizumab+Laser (MD 11.38, 95% CI 6.50–16.25), and the best reduction in central retinal thickness was observed in Aflibercept+Laser (MD -67.96, 95% CI -102.78 – -33.15). In conclusion, anti-VEGF agents can be used, and their efficacy is enhanced when monotherapy drugs such as Brolucizumab and Aflibercept are combined with Laser.
DOI: 10.17632/zdf2cvf6p2
title: AttentionBase: A Facial Landmark-Based Dataset for Visual Attention and Drowsiness Monitoring

description: AttentionBase is a labeled dataset containing 14,127 samples collected from 200 participants during reading and browsing tasks. It includes facial landmark coordinates, Eye Aspect Ratio (EAR), Mouth Aspect Ratio (MAR), and timestamps, all captured at 20 FPS using MediaPipe, Dlib, and OpenCV. The data is stored in CSV (comma-separated values) format, making it easy to use with a wide range of machine learning and data analysis tools. This dataset is intended for research in visual attention monitoring, drowsiness detection, and human-computer interaction.
DOI: 10.17632/zdf2cvf6p2.1
title: AttentionBase: A Facial Landmark-Based Dataset for Visual Attention and Drowsiness Monitoring

description: AttentionBase is a labeled dataset containing 14,127 samples collected from 200 participants during reading and browsing tasks. It includes facial landmark coordinates, Eye Aspect Ratio (EAR), Mouth Aspect Ratio (MAR), and timestamps, all captured at 20 FPS using MediaPipe, Dlib, and OpenCV. The data is stored in CSV (comma-separated values) format, making it easy to use with a wide range of machine learning and data analysis tools. This dataset is intended for research in visual attention monitoring, drowsiness detection, and human-computer interaction.
DOI: 10.17632/nk5rr43ssm
title: Telur Ikan

description: Fish eggs (Telur ikan in Indonesian) with various sizes and layouts in the container. Have a color variation whose baseline is yellow to orange. Close together and almost various patterns of pressure.
DOI: 10.17632/nk5rr43ssm.1
title: Telur Ikan

description: Fish eggs (Telur ikan in Indonesian) with various sizes and layouts in the container. Have a color variation whose baseline is yellow to orange. Close together and almost various patterns of pressure.
DOI: 10.17632/kp5jhx9r9j
title: ML Encryption Dataset - for Classifying S-Box Generation Schemes in Embedded and IoT Cryptographic Sytems

description: This dataset supports the study “Real-Time Machine-Learning Framework for Classifying S-Box Generation Schemes in Embedded and IoT Cryptographic Systems.” It includes 144 S-Box samples from 12 algorithmic families, covering Dynamic, RC4-derived, and chaotic-map (Henon, Logistic) designs.

Each sample is labeled and processed into a feature vector of 40+ handcrafted attributes, capturing:

Byte distribution statistics (mean, skewness, entropy, etc.)

Transition-based features (first/second-order byte deltas)

Cyclic and positional patterns (Fourier features, sine/cosine encodings)

Information-theoretic measures (KLD, mutual information)

The dataset is structured as a CSV file with one sample per row, including the label column (algorithm class) and all feature columns. It was generated using three independent 128-bit keys per algorithm and verified for class balance.

This resource is suitable for:

Benchmarking lightweight cryptographic classification models

Studying S-Box fingerprinting in embedded systems

Teaching machine-learning pipelines for security applications

All data are anonymised and synthetically generated—no personal or hardware-identifiable content is included.
DOI: 10.17632/kp5jhx9r9j.1
title: ML Encryption Dataset - for Classifying S-Box Generation Schemes in Embedded and IoT Cryptographic Sytems

description: This dataset supports the study “Real-Time Machine-Learning Framework for Classifying S-Box Generation Schemes in Embedded and IoT Cryptographic Systems.” It includes 144 S-Box samples from 12 algorithmic families, covering Dynamic, RC4-derived, and chaotic-map (Henon, Logistic) designs.

Each sample is labeled and processed into a feature vector of 40+ handcrafted attributes, capturing:

Byte distribution statistics (mean, skewness, entropy, etc.)

Transition-based features (first/second-order byte deltas)

Cyclic and positional patterns (Fourier features, sine/cosine encodings)

Information-theoretic measures (KLD, mutual information)

The dataset is structured as a CSV file with one sample per row, including the label column (algorithm class) and all feature columns. It was generated using three independent 128-bit keys per algorithm and verified for class balance.

This resource is suitable for:

Benchmarking lightweight cryptographic classification models

Studying S-Box fingerprinting in embedded systems

Teaching machine-learning pipelines for security applications

All data are anonymised and synthetically generated—no personal or hardware-identifiable content is included.
DOI: 10.17632/6r7xw3v3xn
title: Mg/Ca and δ18O records for the planktonic foraminifer Trilobatus sacculifer from IODP Site U1490 since ~1.4 Ma

description: The Integrated Ocean Drilling Program (IODP) Site U1490 is located on the northern edge of the Eauripik Rise at 05º48.95’ N, 142º39.27’ E and 2,341 m water depth. Here we present a ~1.4-Myr-long Mg/Ca and δ18O records for the planktonic foraminifer Trilobatus sacculifer from IODP Site U1490. The age model of Site U1490 are based on Qin et al. (2022).
DOI: 10.17632/r9c5ns4jft.1
title: Lipid-induced granule assembled by DDX49 in hepatocytes restrains liver fibrosis

description: Original raw data for“Lipid-induced granule assembled by DDX49 in hepatocytes restrains liver fibrosis”
DOI: 10.17632/6r7xw3v3xn.1
title: Mg/Ca and δ18O records for the planktonic foraminifer Trilobatus sacculifer from IODP Site U1490 since ~1.4 Ma

description: The Integrated Ocean Drilling Program (IODP) Site U1490 is located on the northern edge of the Eauripik Rise at 05º48.95’ N, 142º39.27’ E and 2,341 m water depth. Here we present a ~1.4-Myr-long Mg/Ca and δ18O records for the planktonic foraminifer Trilobatus sacculifer from IODP Site U1490. The age model of Site U1490 are based on Qin et al. (2022).
DOI: 10.17632/mgjv8r2hfz
title: Rubidium isotope fractionation and its controlling mechanism during river transport

description: The research data for the paper titled 'Rubidium Isotope Fractionation and Its Controlling Mechanism During River Transport' consist of: (1) field-measured parameters (temperature, pH, dissolved oxygen (DO), and total dissolved solids (TDS)); (2) concentrations of major elements, trace elements and chlorophyll-a; and (3) Rb isotopic ratios of river water from the Dongjiang River basin and the Pearl River Estuary in Guangdong Province, South China.
DOI: 10.17632/mgjv8r2hfz.1
title: Rubidium isotope fractionation and its controlling mechanism during river transport

description: The research data for the paper titled 'Rubidium Isotope Fractionation and Its Controlling Mechanism During River Transport' consist of: (1) field-measured parameters (temperature, pH, dissolved oxygen (DO), and total dissolved solids (TDS)); (2) concentrations of major elements, trace elements and chlorophyll-a; and (3) Rb isotopic ratios of river water from the Dongjiang River basin and the Pearl River Estuary in Guangdong Province, South China.
DOI: 10.17632/hzngrz8zv7.1
title: csk

description: sample data
DOI: 10.17632/4ccc4dhpms
title: Data Set - ChatGPT vs DeepSeek: A Comparative Evaluation on the International Computer Science Benchmark – ACM ICPC

description: The effectiveness of two leading Gen AI models, ChatGPT and DeepSeek, is evaluated in addressing complex programming problems based on the ACM International Collegiate Programming Contest (ICPC), a widely accepted standard in competitive coding. The evaluation of both models, as far as readability, error handling, speed of computation, accuracy of code, and educational value, is given in the study.
DOI: 10.17632/4ccc4dhpms.1
title: Data Set - ChatGPT vs DeepSeek: A Comparative Evaluation on the International Computer Science Benchmark – ACM ICPC

description: The effectiveness of two leading Gen AI models, ChatGPT and DeepSeek, is evaluated in addressing complex programming problems based on the ACM International Collegiate Programming Contest (ICPC), a widely accepted standard in competitive coding. The evaluation of both models, as far as readability, error handling, speed of computation, accuracy of code, and educational value, is given in the study.
DOI: 10.17632/c7f42rb239
title: Efficacy and Safety of Sodium-Glucose Cotransporter-2 Inhibitors in Psoriasis Patients and Comorbid Type 2 Diabetes: A Population-based Target Trial Emulation

description: Supplemental data for the manuscript "Efficacy and Safety of Sodium-Glucose Cotransporter-2 Inhibitors in Psoriasis Patients and Comorbid Type 2 Diabetes: A Population-based Target Trial Emulation"
DOI: 10.17632/c7f42rb239.1
title: Efficacy and Safety of Sodium-Glucose Cotransporter-2 Inhibitors in Psoriasis Patients and Comorbid Type 2 Diabetes: A Population-based Target Trial Emulation

description: Supplemental data for the manuscript "Efficacy and Safety of Sodium-Glucose Cotransporter-2 Inhibitors in Psoriasis Patients and Comorbid Type 2 Diabetes: A Population-based Target Trial Emulation"
DOI: 10.17632/x33zfg5rd2
title: Gastrointestinal Helminths Data of Nigerian Sheep

description: Title: Data on the Prevalence of Gastrointestinal Helminths and Associated Risk Factors in Nigerian Sheep Breeds Across Agroecological Zones

Description:
This dataset supports the study titled “Prevalence of Gastrointestinal Helminth and its Predisposing Factors in Nigerian Sheep Breeds”, which aimed to assess the prevalence and risk factors of gastrointestinal helminth (GIH) infections in sheep across three Nigerian agroecological zones: Sudan Savannah, Northern Guinea Savannah, and Derived Savannah.

Research Hypothesis:
We hypothesized that GIH infection rates and species distribution in sheep are influenced by agroecological zone, breed, sex, age, and management practices. These interacting factors were expected to shape infection patterns and parasite diversity.

Data Collection:
Using stratified random sampling, 384 sheep were selected from six communities spanning the three ecological zones. Fecal samples were collected for parasitological analysis, and animal data (sex, age, breed, body weight, and body condition score) were recorded. Questionnaire-based surveys captured management practices, such as housing system, feed supplementation, deworming, water source, and cohabitation with other species.

Fecal samples were examined microscopically to detect eggs of Strongyles spp., Strongyloides spp., Moniezia spp., Dicrocoelium spp., and Coccidia. To identify patterns and reduce dimensionality in the data, Principal Component Analysis (PCA) was performed using management, environmental, and animal health variables.

Key Variables:

Animal: sex, age, breed, body weight, BCS

Management: rearing system (intensive, semi-intensive, extensive), flock type, species cohabitation, grazing method, feed/mineral supplementation, deworming

Environment: agroecological zone, altitude, water source, and disease occurrence

Notable Findings:

Overall GIH prevalence was 61.72%

Derived Savannah had the highest infection rate; Strongyle spp. and Coccidia were most prevalent

Infection varied by breed, sex, age, and management system

Semi-intensive flocks had the highest infection prevalence

PCA highlighted management practices and environmental factors (e.g., deworming, altitude, feed type) as key drivers of infection variability

Interpretation & Use:
This dataset provides a comprehensive view of helminth infection patterns in Nigerian sheep. It supports modeling infection risk based on host traits, environment, and flock practices. It is useful for:

Identifying high-risk regions and practices for targeted GIH control

Exploring breed-specific susceptibility for selective breeding

Evaluating deworming efficacy and nutrition practices

The dataset is valuable for researchers, veterinarians, and policymakers aiming to improve small ruminant health and productivity. Users should account for ecological and seasonal variations and sample size limitations when interpreting the data.
DOI: 10.17632/x33zfg5rd2.1
title: Gastrointestinal Helminths Data of Nigerian Sheep

description: Title: Data on the Prevalence of Gastrointestinal Helminths and Associated Risk Factors in Nigerian Sheep Breeds Across Agroecological Zones

Description:
This dataset supports the study titled “Prevalence of Gastrointestinal Helminth and its Predisposing Factors in Nigerian Sheep Breeds”, which aimed to assess the prevalence and risk factors of gastrointestinal helminth (GIH) infections in sheep across three Nigerian agroecological zones: Sudan Savannah, Northern Guinea Savannah, and Derived Savannah.

Research Hypothesis:
We hypothesized that GIH infection rates and species distribution in sheep are influenced by agroecological zone, breed, sex, age, and management practices. These interacting factors were expected to shape infection patterns and parasite diversity.

Data Collection:
Using stratified random sampling, 384 sheep were selected from six communities spanning the three ecological zones. Fecal samples were collected for parasitological analysis, and animal data (sex, age, breed, body weight, and body condition score) were recorded. Questionnaire-based surveys captured management practices, such as housing system, feed supplementation, deworming, water source, and cohabitation with other species.

Fecal samples were examined microscopically to detect eggs of Strongyles spp., Strongyloides spp., Moniezia spp., Dicrocoelium spp., and Coccidia. To identify patterns and reduce dimensionality in the data, Principal Component Analysis (PCA) was performed using management, environmental, and animal health variables.

Key Variables:

Animal: sex, age, breed, body weight, BCS

Management: rearing system (intensive, semi-intensive, extensive), flock type, species cohabitation, grazing method, feed/mineral supplementation, deworming

Environment: agroecological zone, altitude, water source, and disease occurrence

Notable Findings:

Overall GIH prevalence was 61.72%

Derived Savannah had the highest infection rate; Strongyle spp. and Coccidia were most prevalent

Infection varied by breed, sex, age, and management system

Semi-intensive flocks had the highest infection prevalence

PCA highlighted management practices and environmental factors (e.g., deworming, altitude, feed type) as key drivers of infection variability

Interpretation & Use:
This dataset provides a comprehensive view of helminth infection patterns in Nigerian sheep. It supports modeling infection risk based on host traits, environment, and flock practices. It is useful for:

Identifying high-risk regions and practices for targeted GIH control

Exploring breed-specific susceptibility for selective breeding

Evaluating deworming efficacy and nutrition practices

The dataset is valuable for researchers, veterinarians, and policymakers aiming to improve small ruminant health and productivity. Users should account for ecological and seasonal variations and sample size limitations when interpreting the data.
DOI: 10.17632/tdxykftnj7
title: The mobility of oxidized serpentinizing fluid in the oceanic lithosphere during nascent subduction: Constraint from Fe isotope composition of Xigaze rodingite in southern Tibet

description: The Supplementary Material includes: the Supplementary Tables S1-S9 of the test data.
DOI: 10.17632/tdxykftnj7.1
title: The mobility of oxidized serpentinizing fluid in the oceanic lithosphere during nascent subduction: Constraint from Fe isotope composition of Xigaze rodingite in southern Tibet

description: The Supplementary Material includes: the Supplementary Tables S1-S9 of the test data.
DOI: 10.17632/d75dzbjd4k.9
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 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 June 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/tfxtf5rkjc
title: Leveraging New Quality Productive Forces: Digital Inclusive Finance and Agricultural Resilience Building in China’s Regional Development Context

description: Leveraging New Quality Productive Forces: Digital Inclusive Finance and Agricultural Resilience Building in China’s Regional Development Context
DOI: 10.17632/tfxtf5rkjc.1
title: Leveraging New Quality Productive Forces: Digital Inclusive Finance and Agricultural Resilience Building in China’s Regional Development Context

description: Leveraging New Quality Productive Forces: Digital Inclusive Finance and Agricultural Resilience Building in China’s Regional Development Context
DOI: 10.17632/f47c5psxb9
title: Digital Finance and Agricultural Modernization in China: Pathways through Entrepreneurship and Innovation

description: Digital Finance and Agricultural Modernization in China: Pathways through Entrepreneurship and Innovation