cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/54c3xtrj54
title: Incorporation of differential diagnosis into a Leisure activity simultaneously with clinical diagnosis, strategically and logically.

description: differential diagnosis into a Leisure activity simultaneously with clinical diagnosis, strategically and logically.
Creators
mj, Venkatesan (Researcher)1, 2
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Description
Leisure science plays a vital role in our lives. Leisure science, offering numerous benefits that enhance our physical, mental and emotional well-being. By prioritizing Leisure activities and incorporating them into our daily lives, we can improve our overall quality of life and achieve a better work life balance.

Series information (English)
Proceedings of the 1st International Summit Conference on Exercise Science, Sports Management, Outdoor Recreation, and Physical Education, ExSPORT 2024, 28th - 29th August, Malaysia / UiTM Negeri Sembilan Branch, Seremban Campus

Abstract
The 1st International Summit Conference on Exercise Science, Sports Management, Outdoor Recreation, and Physical Education, taking place online from 28th August – 29th August 2024. This inaugural conference had attracted academic disciplines, professional practitioner, and industry stakeholders from various backgrounds to share their thoughts and disseminate evidence-based findings through scholarly communication. The theme chosen for this conference “Exporting Research Insights to Practical Applications in Sports: Turning Challenges into Opportunities,” is very relevant to the national sports agenda and this is to highlight the importance of engagement between a range of academic disciplines, professional practitioner, and industry stakeholders relevant to sports. This peer-reviewed conference proceeding highlights high-quality research findings covering four main areas of Sports and Exercise Science (which include Biomechanics, Exercise Physiology, Sports Nutrition, Motor Learning and Control, Strength and Conditioning, Sports Psychology, Health and Wellness, Exercise and Aging, Exercise Rehabilitation, and Pediatric Exercise), Sports Management (topic include such as Event Planning, Facility Management, Sports Law, Ethics in Sports, Sports Broadcasting, Community Programs, Sports Finance, Sports Marketing, and Sports Sponsorship), Outdoor and Recreation (which include areas such Park and Recreation Management, Outdoor Leadership, Adventure Tourism, Wilderness First Aid and Safety, Ecotourism Development, Outdoor Adventure Programming, and Natural Resource Management), and Physical Education (which include areas such as Physical Education Pedagogy, Dance and Movement Studies, Adaptive Physical Education, and Sports Coaching). The publication of this Proceedings of the 1st International Conference on Exercise Science, Sports Management, Outdoor Recreation, and Physical Education, ExSPORT, 2024, will assist in maximizing the accessibility of readers and the popularity of these papers.

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ID Number
106359
Indexing
DOI: 10.17632/54c3xtrj54.2
title: Incorporation of differential diagnosis into a Leisure activity simultaneously with clinical diagnosis, strategically and logically.

description: differential diagnosis into a Leisure activity simultaneously with clinical diagnosis, strategically and logically.
Creators
mj, Venkatesan (Researcher)1, 2
ORCID icon
Show affiliations
Description
Leisure science plays a vital role in our lives. Leisure science, offering numerous benefits that enhance our physical, mental and emotional well-being. By prioritizing Leisure activities and incorporating them into our daily lives, we can improve our overall quality of life and achieve a better work life balance.

Series information (English)
Proceedings of the 1st International Summit Conference on Exercise Science, Sports Management, Outdoor Recreation, and Physical Education, ExSPORT 2024, 28th - 29th August, Malaysia / UiTM Negeri Sembilan Branch, Seremban Campus

Abstract
The 1st International Summit Conference on Exercise Science, Sports Management, Outdoor Recreation, and Physical Education, taking place online from 28th August – 29th August 2024. This inaugural conference had attracted academic disciplines, professional practitioner, and industry stakeholders from various backgrounds to share their thoughts and disseminate evidence-based findings through scholarly communication. The theme chosen for this conference “Exporting Research Insights to Practical Applications in Sports: Turning Challenges into Opportunities,” is very relevant to the national sports agenda and this is to highlight the importance of engagement between a range of academic disciplines, professional practitioner, and industry stakeholders relevant to sports. This peer-reviewed conference proceeding highlights high-quality research findings covering four main areas of Sports and Exercise Science (which include Biomechanics, Exercise Physiology, Sports Nutrition, Motor Learning and Control, Strength and Conditioning, Sports Psychology, Health and Wellness, Exercise and Aging, Exercise Rehabilitation, and Pediatric Exercise), Sports Management (topic include such as Event Planning, Facility Management, Sports Law, Ethics in Sports, Sports Broadcasting, Community Programs, Sports Finance, Sports Marketing, and Sports Sponsorship), Outdoor and Recreation (which include areas such Park and Recreation Management, Outdoor Leadership, Adventure Tourism, Wilderness First Aid and Safety, Ecotourism Development, Outdoor Adventure Programming, and Natural Resource Management), and Physical Education (which include areas such as Physical Education Pedagogy, Dance and Movement Studies, Adaptive Physical Education, and Sports Coaching). The publication of this Proceedings of the 1st International Conference on Exercise Science, Sports Management, Outdoor Recreation, and Physical Education, ExSPORT, 2024, will assist in maximizing the accessibility of readers and the popularity of these papers.

Download
[thumbnail of 106359.pdf]Text
106359.pdf
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ID Number
106359
Indexing
DOI: 10.17632/gcrcmt9zk5
title: LINF_200007200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/gcrcmt9zk5.1
title: LINF_200007200

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zvwwpg78wn
title: LINF_200008000

description: Zinc finger (ZZ-type)-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zvwwpg78wn.1
title: LINF_200008000

description: Zinc finger (ZZ-type)-containing protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/jvcswnh2bh
title: LINF_200008400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/jvcswnh2bh.1
title: LINF_200008400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/6z6rcpwmtc
title: LINF_200008700

description: MFS-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/6z6rcpwmtc.1
title: LINF_200008700

description: MFS-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/g55jwx5hyh
title: LINF_200009000

description: Metallo-dependent phosphatase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/g55jwx5hyh.1
title: LINF_200009000

description: Metallo-dependent phosphatase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nz4f3byvgd
title: LINF_200009100

description: Metallo-dependent phosphatase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/nz4f3byvgd.1
title: LINF_200009100

description: Metallo-dependent phosphatase-like protein; Leishmania infantum (strain JPCM5)
DOI: 10.17632/b8whz69d55
title: RETROSPECTIVE BIOSTATISTICAL ANALYSIS DATA FOR ESTABLISHING SAFETY IN THE CONTEXT OF MONOTHERAPY INVOLVING LIFE SAVING DRUGS

description: Retrospective biostatistical analysis of monotherapy involving life-saving drugs involves studying existing data to evaluate the efficacy and safety of single-agent treatments. This approach helps researchers understand the benefits and risks associated with specific medications.

Applications
*Pharmacological modeling: Using mathematical modeling and statistical analysis to understand drug behavior and optimize treatment strategies.
DOI: 10.17632/b8whz69d55.2
title: RETROSPECTIVE BIOSTATISTICAL ANALYSIS DATA FOR ESTABLISHING SAFETY IN THE CONTEXT OF MONOTHERAPY INVOLVING LIFE SAVING DRUGS

description: Retrospective biostatistical analysis of monotherapy involving life-saving drugs involves studying existing data to evaluate the efficacy and safety of single-agent treatments. This approach helps researchers understand the benefits and risks associated with specific medications.

Applications
*Pharmacological modeling: Using mathematical modeling and statistical analysis to understand drug behavior and optimize treatment strategies.
DOI: 10.17632/krw6ckvcnj
title: Centres of species richness, neoendemism, and paleoendemism for marine fishes occur in different regions of Aotearoa New Zealand

description: We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
DOI: 10.17632/krw6ckvcnj.4
title: Centres of species richness, neoendemism, and paleoendemism for marine fishes occur in different regions of Aotearoa New Zealand

description: We examined the historical biogeography of marine fish biodiversity in the 0-500 m depth layer in Aotearoa New Zealand and adjacent areas of the Southwest Pacific using taxonomic and phylogenetic metrics. We built checklists of taxa occurring in our focal depth zone using open-access repositories, and generated distribution maps with AquaMaps for 313 taxa that have phylogenetic data as they are included in the most up-to-date molecular phylogeny for New Zealand's actinopterygians. Here, we present the results for five datasets that differ on five occurrence probabilities selected from AquaMaps. Using the Biodiverse software to compute biodiversity metrics, we found that spatial patterns of richness and endemism differ. We propose evolutionary hypotheses to explain our results.
DOI: 10.17632/cw2ynn4bfv
title: Mobile LiDAR time series datasets of urban trees

description: Mobile LiDAR derived point clouds of:
1. Tree with and without Asian hornet nest
2. Tree before and after pruning
DOI: 10.17632/cw2ynn4bfv.1
title: Mobile LiDAR time series datasets of urban trees

description: Mobile LiDAR derived point clouds of:
1. Tree with and without Asian hornet nest
2. Tree before and after pruning
DOI: 10.15468/dl.p3mxaf
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lomatia hirsuta subsp. obliqua (Ruiz & Pav.) R.T.Penn.",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049688-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cg6jgr95pt.2
title: Rise and fall of Acetanilide usage and essentiality of Paracetamol drug

description: Carcinogenic effect of Acetanlide and re-entry of Acetanilide into medical field, i.e., the Acetanilide entering into medical field in it's derivative form thereby saving human society.

Abstract (English)
 

Discovery and History of Paracetamol:
Paracetamol, also known as acetaminophen, is a widely used over-the-counter medication for pain relief and fever reduction. The discovery and history of paracetamol involve a combination of scientific research, medical anthropology, and pharmaceutical development.

Early History
*Ancient Use of Willow Bark: 
The use of willow bark, which contains salicin, a compound similar to aspirin, dates back to ancient civilizations, such as the Egyptians and Greeks.
*19th-Century Development: In the 19th century, chemists began to isolate and purify salicin from willow bark, leading to the development of aspirin.

Discovery of Paracetamol
*1950s Research: 
In the 1950s, researchers at McNeil Laboratories in the United States began investigating alternatives to aspirin. They discovered that a compound called N-acetyl-p-aminophenol (APAP), later known as paracetamol, had analgesic and antipyretic properties.
*Clinical Trials: Clinical trials in the 1950s and 1960s demonstrated the efficacy and safety of paracetamol as a pain reliever and fever reducer.

Medical Anthropology Aspects
*Cultural Perceptions of Pain and Fever: Medical anthropology can provide insights into how different cultures perceive and experience pain and fever, which may have influenced the development and use of paracetamol.
*Traditional Medicine and Pharmaceutical Development: The discovery of paracetamol can be seen as an example of how traditional medicine (e.g., willow bark) can inform pharmaceutical development.
*Globalization and Access to Medications: 
Medical anthropology can examine how globalization and access to medications like paracetamol have impacted health outcomes and healthcare systems worldwide.

While medical anthropology may not have directly contributed to the discovery of paracetamol, it can provide valuable insights into the cultural, social, and economic contexts that have shaped the development and use of this medication.
DOI: 10.17632/sxf2fg8bkm
title: Feedback regulation of m6A modification creates local auxin maxima essential for rice microsporogenesis. Cheng et al.

description: Blot images for Figs. 2F, 5F, 6B, S1B, S1C, S4D, S5A, S5B, and S5E.
DOI: 10.17632/sxf2fg8bkm.1
title: Feedback regulation of m6A modification creates local auxin maxima essential for rice microsporogenesis. Cheng et al.

description: Blot images for Figs. 2F, 5F, 6B, S1B, S1C, S4D, S5A, S5B, and S5E.
DOI: 10.17632/ftzzmh2cmt
title: CityArtery

description: High-resolution trajectory datasets are essential for advancing traffic flow modeling, yet existing open-source datasets suffer from limited spatiotemporal coverage, insufficient urban interaction complexity, and incomplete semantic map data. To address these gaps, we present a UAV-collected vehicle trajectory dataset comprising 14,490 complete trajectories spanning a 1-km arterial road with 2-3 signalized intersections, capturing diverse urban traffic dynamics. The dataset features two subsets: single- and multi-intersection scenarios. Using three synchronized UAVs during peak/off-peak hours over four days, we recorded dense traffic conflicts and signal interactions. Trajectories were extracted via SLAM technology and spatially aligned in the SUMO simulation platform. Structured CSV files provide vehicle kinematics (speed, acceleration), spatiotemporal coordinates (pixel/UTM), and embedded semantic data with full-day temporal granularity. This dataset supports autonomous driving algorithm validation, safety-critical scenario generation, and signal coordination studies. The publicly available repository includes trajectory data, simulation calibration parameters, and signal timing records.

The Dataset directory includes two folders:
Dataset/Intersection_trajectory: Contains single-intersection data with different time periods for three intersections.
Dataset/Processed Data: Holds partially processed data.
Additionally, the Signal Timing Records table contains phase-based signal timing records for three scenarios.
DOI: 10.17632/ftzzmh2cmt.1
title: CityArtery

description: High-resolution trajectory datasets are essential for advancing traffic flow modeling, yet existing open-source datasets suffer from limited spatiotemporal coverage, insufficient urban interaction complexity, and incomplete semantic map data. To address these gaps, we present a UAV-collected vehicle trajectory dataset comprising 14,490 complete trajectories spanning a 1-km arterial road with 2-3 signalized intersections, capturing diverse urban traffic dynamics. The dataset features two subsets: single- and multi-intersection scenarios. Using three synchronized UAVs during peak/off-peak hours over four days, we recorded dense traffic conflicts and signal interactions. Trajectories were extracted via SLAM technology and spatially aligned in the SUMO simulation platform. Structured CSV files provide vehicle kinematics (speed, acceleration), spatiotemporal coordinates (pixel/UTM), and embedded semantic data with full-day temporal granularity. This dataset supports autonomous driving algorithm validation, safety-critical scenario generation, and signal coordination studies. The publicly available repository includes trajectory data, simulation calibration parameters, and signal timing records.

The Dataset directory includes two folders:
Dataset/Intersection_trajectory: Contains single-intersection data with different time periods for three intersections.
Dataset/Processed Data: Holds partially processed data.
Additionally, the Signal Timing Records table contains phase-based signal timing records for three scenarios.
DOI: 10.17632/zgykyf3nxr
title: PHYSICAL THERAPEUTIC INTERVENTION FOR CONTROLLING INTESTINAL WORMS

description: Physical therapeutic interventions are monotherapeutic interventions because concomitant administration of anthelmintics are not amicable, as it produce drowsiness. However naturaceuticals are commutable. People with drowsiness are subjected to bed rest. உணவே மருந்து.
DOI: 10.17632/zgykyf3nxr.2
title: PHYSICAL THERAPEUTIC INTERVENTION FOR CONTROLLING INTESTINAL WORMS

description: Physical therapeutic interventions are monotherapeutic interventions because concomitant administration of anthelmintics are not amicable, as it produce drowsiness. However naturaceuticals are commutable. People with drowsiness are subjected to bed rest. உணவே மருந்து.
DOI: 10.17632/szw3x5b272.1
title: Mechanisms of Sr sorption in peaty-podzolic-gleyic and alluvial soddy-gleyic soils

description: Radiostrontium (90Sr), a highly mobile radionuclide of environmental concern, can be strongly retained by soils via interactions with organic and mineral components. This study investigated sorption patterns and mechanisms of 90Sr in two contrasting soil types—peaty-podzolic-gleyic (PPG) and alluvial soddy-gleyic (ASG)—through batch experiments with varying experimental conditions and sequential extraction. Despite differences in pH, organic carbon, and clay content, all soil horizons showed high Sr sorption (85–96%) at near-native pH. In organic-rich horizons, Sr was predominantly bound to organic matter via complexation, while in mineral and organo-mineral horizons, ion exchange with clay minerals was the dominant retention mechanism. pH-dependent sorption revealed that Ca2+ competition significantly reduces Sr retention at low pH. Sequential extraction confirmed that Sr is mostly exchangeable in mineral horizons but more strongly retained in organic layers. These findings highlight the contrasting sorption mechanisms in different soil compartments and provide key insights for predicting Sr mobility in contaminated environments.
DOI: 10.17632/ktfnhjspjn
title: TFDD: A High-Quality Image Dataset for Accurate Tomato Fruit Disease Detection and Classification

description: Tomatoes are one of the most widely cultivated and economically significant crops worldwide. However, their productivity and quality are significantly affected by various diseases, including bacterial, viral, and fungal infections. Tomato Fruit Disease Detection (TFDD) dataset designed to support the development and evaluation of object detection models. The dataset contains 288 original images. The images were collected from a local tomato field in Bhashanchar, Faridpur, and a local market in Dhaka, Bangladesh . It consists of high-resolution images of tomatoes affected by different diseases, captured under natural field conditions such as Anthracnose, Blossom End Rot, Fruit Worm, Fruit Cracking, Late Blight, Mold, Early Blight, and Healthy. To enhance dataset diversity and improve model generalization, we applied several augmentation techniques, including horizontal and vertical flipping, rotations between -15° and +15°, brightness adjustments from -15% to +15%, and saturation variations between -20% and +20%. We augmented (3x) of the training images only. After augmentation we obtained 682 images (595 images for training, 58 images for validation, and 29 images for testing). 

Dataset Overview:
Total Images: 682
Image Format: .jpg
Image Size: 640x640
Annotation Format: .txt 
Number of Classes: 8 (Healthy and Diseased)

Data Sources and Annotation: 
Field Location: Gafur Matubbor Dangi, Bhashanchar, Karirhat 7821, Sadarpur, Faridpur, Bangladesh 
Local Market Location: Khilkhet, Dhaka, Bangladesh. 
Captured Method: iPhone 13 and iPhone 15 Plus cameras 
Annotation Tool: Roboflow (Manual process) 
Annotation Guidelines: Bounding boxes 
Annotation Format (.txt): 

Class Distributions:
Class Name Raw Image count
Anthracnose 27
Blossom_end_rot 31
Cracking 35
Early_Blight 20
Fruitworm 61
Healthy 27
Late_Blight 38
Mold 49
DOI: 10.17632/ktfnhjspjn.3
title: TFDD: A High-Quality Image Dataset for Accurate Tomato Fruit Disease Detection and Classification

description: Tomatoes are one of the most widely cultivated and economically significant crops worldwide. However, their productivity and quality are significantly affected by various diseases, including bacterial, viral, and fungal infections. Tomato Fruit Disease Detection (TFDD) dataset designed to support the development and evaluation of object detection models. The dataset contains 288 original images. The images were collected from a local tomato field in Bhashanchar, Faridpur, and a local market in Dhaka, Bangladesh . It consists of high-resolution images of tomatoes affected by different diseases, captured under natural field conditions such as Anthracnose, Blossom End Rot, Fruit Worm, Fruit Cracking, Late Blight, Mold, Early Blight, and Healthy. To enhance dataset diversity and improve model generalization, we applied several augmentation techniques, including horizontal and vertical flipping, rotations between -15° and +15°, brightness adjustments from -15% to +15%, and saturation variations between -20% and +20%. We augmented (3x) of the training images only. After augmentation we obtained 682 images (595 images for training, 58 images for validation, and 29 images for testing). 

Dataset Overview:
Total Images: 682
Image Format: .jpg
Image Size: 640x640
Annotation Format: .txt 
Number of Classes: 8 (Healthy and Diseased)

Data Sources and Annotation: 
Field Location: Gafur Matubbor Dangi, Bhashanchar, Karirhat 7821, Sadarpur, Faridpur, Bangladesh 
Local Market Location: Khilkhet, Dhaka, Bangladesh. 
Captured Method: iPhone 13 and iPhone 15 Plus cameras 
Annotation Tool: Roboflow (Manual process) 
Annotation Guidelines: Bounding boxes 
Annotation Format (.txt): 

Class Distributions:
Class Name Raw Image count
Anthracnose 27
Blossom_end_rot 31
Cracking 35
Early_Blight 20
Fruitworm 61
Healthy 27
Late_Blight 38
Mold 49