cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rk6jn8wg55
title: Supplementary Data for MLFP

description: Supplementary Data for MLFP
A preprint on arXiv (link: https://arxiv.org/abs/2501.17495) is submitted. The raw data set sampled from all Examples are provided in Data A as a .zip file. The Aspen Plus simulations of Example 12 and 13, the EO model of Example 11, and the programs to optimize the EO model of Expamle11 and the ReLU neural network model of Example 12 are provided in Data B as a .zip file. The neural network surrogate models for all Examples are provided in Data C as a .zip file. An available example code of proposed algorithm is provided at https://github.com/ZixuanChang/MLSQP .
DOI: 10.17632/rk6jn8wg55.2
title: Supplementary Data for MLFP

description: Supplementary Data for MLFP
A preprint on arXiv (link: https://arxiv.org/abs/2501.17495) is submitted. The raw data set sampled from all Examples are provided in Data A as a .zip file. The Aspen Plus simulations of Example 12 and 13, the EO model of Example 11, and the programs to optimize the EO model of Expamle11 and the ReLU neural network model of Example 12 are provided in Data B as a .zip file. The neural network surrogate models for all Examples are provided in Data C as a .zip file. An available example code of proposed algorithm is provided at https://github.com/ZixuanChang/MLSQP .
DOI: 10.17632/6w2cw8jbbf
title: Analysis of Urban Flood Resilience Evolution Characteristics Based on the CRITIC-VIKOR Integrated Model: A Case Study of Urban Ag-glomerations in North China

description: Taking the core urban agglomeration of North China as the research subject, this study examines the flood resilience levels within the region. The data presented in the table includes model-based flood resilience metrics for each city, alongside analyses conducted from temporal, spatial, and spatio-temporal dimensions. All raw data was obtained through web scraping, with the processed data displayed as shown in the table.
DOI: 10.17632/6w2cw8jbbf.1
title: Analysis of Urban Flood Resilience Evolution Characteristics Based on the CRITIC-VIKOR Integrated Model: A Case Study of Urban Ag-glomerations in North China

description: Taking the core urban agglomeration of North China as the research subject, this study examines the flood resilience levels within the region. The data presented in the table includes model-based flood resilience metrics for each city, alongside analyses conducted from temporal, spatial, and spatio-temporal dimensions. All raw data was obtained through web scraping, with the processed data displayed as shown in the table.
DOI: 10.17632/7wfx7xrnfd
title: Decoding recycling efficiency and mechanism of Tethyan sediments in a low-angle subduction zone: Insights from the Makran arc volcanoes

description: This dataset is the supplementary material of the submitted manuscript “Decoding recycling efficiency and mechanism of Tethyan sediments in a low-angle subduction zone: Insights from the Makran arc volcanoes”. It contains three tables that provide chronological and geochemical data of Makran arc rocks, as well as carbon content data used to evaluate sediment recycling in the Makran subduction zone.
Supplementary Table S1: 40Ar/39Ar dating results for volcanic samples from the Koh-i-Sultan volcano. Detailed analytical procedures are provided in the main text.
Supplementary Table S2: Newly analyzed and compiled whole-rock geochemical data for Makran arc volcanic rocks, including major and trace element concentrations as well as Sr–Nd–Pb isotopic compositions. Analytical techniques are indicated within the table.
Supplementary Table S3: Carbon content data of sediment cores from the Makran trench, used to estimate the bulk sediment carbon budget for recycling efficiency assessment. These data are compiled from ODP/DSDP sources.
The dataset is provided in Excel format.
DOI: 10.17632/7wfx7xrnfd.1
title: Decoding recycling efficiency and mechanism of Tethyan sediments in a low-angle subduction zone: Insights from the Makran arc volcanoes

description: This dataset is the supplementary material of the submitted manuscript “Decoding recycling efficiency and mechanism of Tethyan sediments in a low-angle subduction zone: Insights from the Makran arc volcanoes”. It contains three tables that provide chronological and geochemical data of Makran arc rocks, as well as carbon content data used to evaluate sediment recycling in the Makran subduction zone.
Supplementary Table S1: 40Ar/39Ar dating results for volcanic samples from the Koh-i-Sultan volcano. Detailed analytical procedures are provided in the main text.
Supplementary Table S2: Newly analyzed and compiled whole-rock geochemical data for Makran arc volcanic rocks, including major and trace element concentrations as well as Sr–Nd–Pb isotopic compositions. Analytical techniques are indicated within the table.
Supplementary Table S3: Carbon content data of sediment cores from the Makran trench, used to estimate the bulk sediment carbon budget for recycling efficiency assessment. These data are compiled from ODP/DSDP sources.
The dataset is provided in Excel format.
DOI: 10.17632/h224jnsm99
title: economic modelling

description: 公开代码
DOI: 10.17632/h224jnsm99.1
title: economic modelling

description: 公开代码
DOI: 10.17632/b4m7jgnzf4
title: Crotonylation of PB2 Protein at Lysine 482 Hampers Replication and Adaptive Fitness of H9N2 Avian Influenza Virus in Mammals

description: Source Data for figures
DOI: 10.17632/b4m7jgnzf4.2
title: Crotonylation of PB2 Protein at Lysine 482 Hampers Replication and Adaptive Fitness of H9N2 Avian Influenza Virus in Mammals

description: Source Data for figures
DOI: 10.17632/gvr4gdbjr3
title: Tendência e carga de amputações de membros inferiores por diabetes: análise de série temporal, Amazonas, 2012-2021

description: Banco de dados de AMI_AM.
DOI: 10.5281/zenodo.17186870
title: Dataset for Kinetic Differences Between Orthodox and Southpaw Stances in Four Fundamental Boxing Punches

description: This dataset accompanies the study “Kinetic Differences Between Orthodox and Southpaw Stances in Four Fundamental Boxing Punches.” It contains synchronized inertial measurement unit (IMU) and force plate recordings from 30 male boxers performing jab, cross, lead hook, and rear hook punches in both orthodox and southpaw stances.

The dataset provides raw signals of fist acceleration and ground reaction forces during maximal punches, along with computational routines for filtering, peak detection, and event segmentation. Data were collected at Jan Długosz University, Poland, under controlled laboratory conditions.

This resource enables researchers to reproduce the published analyses or perform alternative custom computations on stance-related performance differences.

Data Files





Raw Data (.xlsx) – Per-punch recordings with IMU and force plate values.




Summary Tables (.xlsx) – Aggregated descriptive statistics across punch types and stances.




Processing Code (.ipynb) – Python notebook implementing signal filtering, peak detection, and event extraction.



Variables and Column Names

Each raw file includes:





Time – Sampling index (s).




1x, 1y, 1z – IMU acceleration along three axes (converted from milli-g to m/s²).




fx, fy, fz – Ground reaction force components (N) from AMTI plate:





fx – mediolateral force,




fy – anteroposterior force,




fz – vertical force.





Derived variables created by the notebook:





1x_filtered, 1y_filtered, 1z_filtered – Bandpass filtered acceleration signals (25–250 Hz Butterworth, order 9).




resultant_acceleration – Vector magnitude of filtered IMU acceleration.




Total_GRF – Vector magnitude of ground reaction force.



Data Processing Workflow

The included Jupyter notebook (butterworth filtered-3.ipynb) automates computation in the following steps:





Filtering: Applies a 9th-order Butterworth bandpass filter (25–250 Hz) to acceleration channels, removing noise and offset.




Resultant Calculations: Computes resultant acceleration and total ground reaction force.




Peak Detection: Identifies the five strongest strikes by ranking Total_GRF values above a 300 N threshold, ensuring a minimum 0.5 s separation.




Window Extraction: For each peak, a 0.4 s window (±0.2 s around the peak) is exported into separate files for detailed event analysis.




Summary Table: Generates a table with event time, peak force, and corresponding resultant acceleration values.



Ethics

All participants gave informed consent. The study was approved by the Human Subjects Research Committee of Jan Długosz University (KE-O/4/2022).

Potential Applications





Comparative stance analysis in boxing biomechanics




Force–acceleration relationship modeling




Signal processing benchmarking (filtering, event detection)




Sports science teaching and reproducibility studies
DOI: 10.5281/zenodo.17186871
title: Dataset for Kinetic Differences Between Orthodox and Southpaw Stances in Four Fundamental Boxing Punches

description: This dataset accompanies the study “Kinetic Differences Between Orthodox and Southpaw Stances in Four Fundamental Boxing Punches.” It contains synchronized inertial measurement unit (IMU) and force plate recordings from 30 male boxers performing jab, cross, lead hook, and rear hook punches in both orthodox and southpaw stances.

The dataset provides raw signals of fist acceleration and ground reaction forces during maximal punches, along with computational routines for filtering, peak detection, and event segmentation. Data were collected at Jan Długosz University, Poland, under controlled laboratory conditions.

This resource enables researchers to reproduce the published analyses or perform alternative custom computations on stance-related performance differences.

Data Files





Raw Data (.xlsx) – Per-punch recordings with IMU and force plate values.




Summary Tables (.xlsx) – Aggregated descriptive statistics across punch types and stances.




Processing Code (.ipynb) – Python notebook implementing signal filtering, peak detection, and event extraction.



Variables and Column Names

Each raw file includes:





Time – Sampling index (s).




1x, 1y, 1z – IMU acceleration along three axes (converted from milli-g to m/s²).




fx, fy, fz – Ground reaction force components (N) from AMTI plate:





fx – mediolateral force,




fy – anteroposterior force,




fz – vertical force.





Derived variables created by the notebook:





1x_filtered, 1y_filtered, 1z_filtered – Bandpass filtered acceleration signals (25–250 Hz Butterworth, order 9).




resultant_acceleration – Vector magnitude of filtered IMU acceleration.




Total_GRF – Vector magnitude of ground reaction force.



Data Processing Workflow

The included Jupyter notebook (butterworth filtered-3.ipynb) automates computation in the following steps:





Filtering: Applies a 9th-order Butterworth bandpass filter (25–250 Hz) to acceleration channels, removing noise and offset.




Resultant Calculations: Computes resultant acceleration and total ground reaction force.




Peak Detection: Identifies the five strongest strikes by ranking Total_GRF values above a 300 N threshold, ensuring a minimum 0.5 s separation.




Window Extraction: For each peak, a 0.4 s window (±0.2 s around the peak) is exported into separate files for detailed event analysis.




Summary Table: Generates a table with event time, peak force, and corresponding resultant acceleration values.



Ethics

All participants gave informed consent. The study was approved by the Human Subjects Research Committee of Jan Długosz University (KE-O/4/2022).

Potential Applications





Comparative stance analysis in boxing biomechanics




Force–acceleration relationship modeling




Signal processing benchmarking (filtering, event detection)




Sports science teaching and reproducibility studies
DOI: 10.17632/gvr4gdbjr3.1
title: Tendência e carga de amputações de membros inferiores por diabetes: análise de série temporal, Amazonas, 2012-2021

description: Banco de dados de AMI_AM.
DOI: 10.15468/dl.xqgyvk
title: Occurrence Download

description: A dataset containing 305 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen, Machine Observation)",
 "Continent is North America",
 "Country is one of (United States of America, Mexico)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Chamaeleo calyptratus",
 "Year 2000-2025"
 ]
}

 The dataset includes 305 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009872-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9wd5gh
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009873-250920141307145/datasets/export for details.
DOI: 10.17632/cj64gycsw8
title: Histórico de enchentes em Blumenau

description: Apresenta-se uma tabela sistematizada com os principais eventos de enchentes registrados na cidade de Blumenau, Santa Catarina, desde o século XIX até os dias atuais. A compilação inclui dados como datas, níveis do Rio Itajaí-Açu. O objetivo é fornecer uma base confiável para estudos sobre vulnerabilidade urbana, mudanças climáticas, gestão de riscos e planejamento territorial. A iniciativa busca contribuir com pesquisadores, gestores públicos e demais interessados na compreensão dos padrões históricos de inundações e seus efeitos sobre o desenvolvimento urbano da região.
DOI: 10.17632/cj64gycsw8.2
title: Histórico de enchentes em Blumenau

description: Apresenta-se uma tabela sistematizada com os principais eventos de enchentes registrados na cidade de Blumenau, Santa Catarina, desde o século XIX até os dias atuais. A compilação inclui dados como datas, níveis do Rio Itajaí-Açu. O objetivo é fornecer uma base confiável para estudos sobre vulnerabilidade urbana, mudanças climáticas, gestão de riscos e planejamento territorial. A iniciativa busca contribuir com pesquisadores, gestores públicos e demais interessados na compreensão dos padrões históricos de inundações e seus efeitos sobre o desenvolvimento urbano da região.
DOI: 10.17632/wp2nrd2pb4
title: Seventy Years of Electricity Prices in Australia

description: Data from various sources used to generate an average residential and business electricity price from 1953 to 2024
DOI: 10.17632/wp2nrd2pb4.1
title: Seventy Years of Electricity Prices in Australia

description: Data from various sources used to generate an average residential and business electricity price from 1953 to 2024
DOI: 10.17632/czzzth6z26.3
title: Laboratory calibration dataset for tipping-bucket rain gauges: manual burette vs automated device

description: Overview.
This dataset publishes laboratory calibration measurements for tipping-bucket rain gauges (TBRGs) collected with two methods under controlled conditions: (i) an automated calibrator (PRC-20AP) and (ii) a conventional manual burette setup. The test matrix covers five rainfall intensities (10, 20, 30, 50, 100 mm/h) targeting 20 mm total rainfall, with n = 15 repeated trials per condition.

Files (4 items).

experiment_auto_DIB.xlsx — Sheets: auto_raw, auto_summary_by_intensity, README.

experiment_manual_DIB.xlsx — Sheets: manual_raw, manual_summary_by_intensity, README.

analysis_DIB.xlsx — Sheets: comparison_total_rainfall, comparison_intensity, improvement_total, improvement_intensity, README.

Figure 1,2,3.zip — PNG figures used in the article (Figures 1–3). All figures are reproducible from the analysis workbook.

Raw variables (common to auto_raw / manual_raw).
Trial No., Elapsed Time (hh:mm:ss), Elapsed Time (h), Set Rainfall Intensity (mm/h), Set Total Rainfall (mm), Measured Total Rainfall (mm), Measured Rainfall Intensity (mm/h), Relative Error (Total, %), Relative Error (Intensity, %).

Summary & analysis.
For each intensity, the summary sheets report n = 15, mean and standard deviation for both total rainfall and rainfall intensity, and uncertainty components following the GUM framework: Type A, Type B, combined uncertainty, and expanded uncertainty (≈95% coverage). The analysis workbook provides side-by-side comparisons between manual and automated methods and an improvement metric defined as Δ = (manual − automated) to quantify the benefit of automation.

Reproducibility & formatting.
Units are embedded in column headers; required numeric fields have no missing values. The included figures (Figures 1–3) can be recreated directly from analysis_DIB.xlsx, ensuring full transparency of any plots shown in the article.

Related research article (FMI).
This dataset complements the related research article, “Automation and Accuracy Improvement of Field Calibration for Tipping-Bucket Rain Gauges Using Laser Sensors and Roller Pump (FMI)” . FMI provides additional methodological background and schematic diagrams; this Data in Brief focuses on transparent data sharing and reuse. 

Ethics
No human/animal data are involved; all records are instrument measurements.
DOI: 10.17632/2hvh5yzcbd
title: Data and programs for "Quantifying effects of demographic biases on estimation of cultural ecosystem services using social media in Japan"

description: This dataset contains data and scripts used for the corresponding paper.
DOI: 10.17632/2hvh5yzcbd.1
title: Data and programs for "Quantifying effects of demographic biases on estimation of cultural ecosystem services using social media in Japan"

description: This dataset contains data and scripts used for the corresponding paper.
DOI: 10.15468/dl.afbx8b
title: Occurrence Download

description: A dataset containing 700 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 (Pteris oshimensis)"
 ]
}

 The dataset includes 700 records from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009874-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6ry9n79gb4
title: Diabetic Retinopathy and Retinal Diseases Fundus Image Dataset

description: The dataset used in this study consists of 22,454 high-quality color fundus images from three publicly available sources, merged for the classification of diabetic retinopathy (DR) and other retinal diseases. The images are categorized into 13 clinically significant classes, including various stages of DR (Mild, Moderate, Severe, Proliferative, Advanced PDR, Very Severe NPDR), other retinal conditions like Dry AMD, Wet AMD, Cataract, Hypertensive Retinopathy, Pathological Myopia, Glaucoma, and a Normal Fundus category.
DOI: 10.17632/6ry9n79gb4.1
title: Diabetic Retinopathy and Retinal Diseases Fundus Image Dataset

description: The dataset used in this study consists of 22,454 high-quality color fundus images from three publicly available sources, merged for the classification of diabetic retinopathy (DR) and other retinal diseases. The images are categorized into 13 clinically significant classes, including various stages of DR (Mild, Moderate, Severe, Proliferative, Advanced PDR, Very Severe NPDR), other retinal conditions like Dry AMD, Wet AMD, Cataract, Hypertensive Retinopathy, Pathological Myopia, Glaucoma, and a Normal Fundus category.
DOI: 10.17632/s7rjpshdpm
title: Performance Comparison and Wind Speed Correction Algorithm for Three Lidar Wind Profilers

description: Lidar data
DOI: 10.17632/s7rjpshdpm.1
title: Performance Comparison and Wind Speed Correction Algorithm for Three Lidar Wind Profilers

description: Lidar data
DOI: 10.17632/bhmycr9v75
title: Shyness and Body Fat Percen Predict HR Reactivity in Young Athletes

description: The dataset contains physiological and psychological measures from 20 adolescent canoe athletes (15 boys, 5 girls; M age = 14.3 ± 1.88 years). Each participant completed a reaction time (RT) task in a laboratory setting with heart rate (HR) recordings collected during three phases: baseline (5 min), RT task (5 min), and recovery (5 min). The dataset includes:
1) Demographics: age, sex; 2) Physiological measures: HR values for baseline, task, recovery; derived HR reactivity (task–recovery difference); 3) Anthropometric measure: body fat percentage; 4) Temperament traits: including shyness and other temperament dimensions; 5) Performance measures: RT trials, RT scores. - The dataset supports analyses of how temperament and adiposity predict HR reactivity during a psychomotor stress task.
DOI: 10.17632/bhmycr9v75.1
title: Shyness and Body Fat Percen Predict HR Reactivity in Young Athletes

description: The dataset contains physiological and psychological measures from 20 adolescent canoe athletes (15 boys, 5 girls; M age = 14.3 ± 1.88 years). Each participant completed a reaction time (RT) task in a laboratory setting with heart rate (HR) recordings collected during three phases: baseline (5 min), RT task (5 min), and recovery (5 min). The dataset includes:
1) Demographics: age, sex; 2) Physiological measures: HR values for baseline, task, recovery; derived HR reactivity (task–recovery difference); 3) Anthropometric measure: body fat percentage; 4) Temperament traits: including shyness and other temperament dimensions; 5) Performance measures: RT trials, RT scores. - The dataset supports analyses of how temperament and adiposity predict HR reactivity during a psychomotor stress task.
DOI: 10.17632/mn3g5c5zdf.1
title: Palmaria_global_change_data

description: Data and code for the manuscript "Resilience of Palmaria palmata to multiple stressors: combined effects of marine heatwaves, hyposalinity, and pollution" submitted to the Journal of Applied Phycology.
DOI: 10.5281/zenodo.17187200
title: Dataset + code for the paper: Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability

description: Dataset + code for the paper:

@article{ngo2025integrating,
  title={Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability},
  author={Ngo, Anh and Koco{\'n}, Jan},
  journal={Information Fusion},
  volume={118},
  pages={102966},
  year={2025},
  publisher={Elsevier}
}
DOI: 10.5281/zenodo.17187199
title: Dataset + code for the paper: Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability

description: Dataset + code for the paper:

@article{ngo2025integrating,
  title={Integrating personalized and contextual information in fine-grained emotion recognition in text: A multi-source fusion approach with explainability},
  author={Ngo, Anh and Koco{\'n}, Jan},
  journal={Information Fusion},
  volume={118},
  pages={102966},
  year={2025},
  publisher={Elsevier}
}
DOI: 10.15468/dl.4wvdqc
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dianthus superbus",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009879-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.