cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kr8ttxsbb8.1
title: LSpineSMRI: A Comprehensive Dataset of Non-Contrast Lumbar Spine Stenosis MRI Examinations

description: Central lumbar spinal stenosis (LSS) is a prevalent degenerative condition primarily affecting older adults, characterized by the narrowing of the lumbar spinal canal due to changes in intervertebral discs, ligamentum flavum, and facet joints. It is a leading cause of spine surgery in the elderly, leading to significant healthcare costs, especially when it results in severe pain and disability. LSS commonly presents as neurogenic claudication, with symptoms like lower back pain, leg discomfort, and tingling, which can severely impair mobility and quality of life. Diagnosing LSS requires a thorough evaluation of clinical symptoms and imaging findings, with magnetic resonance imaging (MRI) being the gold standard for visualizing soft tissues and nerve compression.

This dataset includes imaging data and reports from consecutive non-contrast lumbar spine MRI examinations conducted between 2017 and 2023. It features a diverse patient population from inpatient, outpatient, and emergency services. Inclusion criteria required complete axial and sagittal T2-weighted sequences, all obtained using a 1.5 Tesla MRI scanner for consistent image quality.

Exclusion criteria eliminated cases with severe spinal conditions such as trauma, infections, inflammation, tumors, and post-surgical complications that typically require gadolinium contrast. Patients with anatomical variations, fractures, extensive surgical hardware, or widespread metastatic disease were also excluded. MRIs lacking T2-weighted axial sequences or with poor quality were omitted to ensure dataset reliability. Ultimately, 640 patients (234 males and 406 females) met the criteria, with a mean age of 57.58 ± 12.47 years (range: 21 to 87). A total of 17,440 MRI slices were collected and categorized into cervical/thoracic, lumbar, and sacral regions, with lumbar slices subsequently graded. This dataset received approval from the Iran University of Medical Sciences Ethics Committee.

Qualitative grading was performed by a board-certified neurosurgeon with over 20 years of experience. The grading system is as follows: Grade A indicates no or minimal stenosis with visible cerebrospinal fluid (CSF); Grade B denotes moderate stenosis, where rootlets occupy the dural sac but remain distinguishable; Grade C signifies severe stenosis, with a homogeneous gray signal in the dural sac and no recognizable rootlets or visible CSF, although posterior epidural fat is present; and Grade D reflects extreme stenosis, with neither rootlets nor posterior epidural fat visible. In this version, Grades B and C have been merged. Annotations were performed using LabelStudio, a versatile tool for various data types, including images and text. This dataset serves as a valuable resource for understanding lumbar spinal stenosis and has potential applications in developing deep learning-based computer-aided diagnosis (CAD) systems, enhancing medical imaging and diagnostic accuracy.
DOI: 10.17632/kr8ttxsbb8.2
title: LSpineSMRI: A Comprehensive Dataset of Non-Contrast Lumbar Spine Stenosis MRI Examinations

description: Central lumbar spinal stenosis (LSS) is a prevalent degenerative condition primarily affecting older adults, characterized by the narrowing of the lumbar spinal canal due to changes in intervertebral discs, ligamentum flavum, and facet joints. It is a leading cause of spine surgery in the elderly, leading to significant healthcare costs, especially when it results in severe pain and disability. LSS commonly presents as neurogenic claudication, with symptoms like lower back pain, leg discomfort, and tingling, which can severely impair mobility and quality of life. Diagnosing LSS requires a thorough evaluation of clinical symptoms and imaging findings, with magnetic resonance imaging (MRI) being the gold standard for visualizing soft tissues and nerve compression.

This dataset includes imaging data and reports from consecutive non-contrast lumbar spine MRI examinations conducted between 2017 and 2023. It features a diverse patient population from inpatient, outpatient, and emergency services. Inclusion criteria required complete axial and sagittal T2-weighted sequences, all obtained using a 1.5 Tesla MRI scanner for consistent image quality.

Exclusion criteria eliminated cases with severe spinal conditions such as trauma, infections, inflammation, tumors, and post-surgical complications that typically require gadolinium contrast. Patients with anatomical variations, fractures, extensive surgical hardware, or widespread metastatic disease were also excluded. MRIs lacking T2-weighted axial sequences or with poor quality were omitted to ensure dataset reliability. Ultimately, 640 patients (234 males and 406 females) met the criteria, with a mean age of 57.58 ± 12.47 years (range: 21 to 87). A total of 17,440 MRI slices were collected and categorized into cervical/thoracic, lumbar, and sacral regions, with lumbar slices subsequently graded. This dataset received approval from the Iran University of Medical Sciences Ethics Committee.

Qualitative grading was performed by a board-certified neurosurgeon with over 20 years of experience. The grading system is as follows: Grade A indicates no or minimal stenosis with visible cerebrospinal fluid (CSF); Grade B denotes moderate stenosis, where rootlets occupy the dural sac but remain distinguishable; Grade C signifies severe stenosis, with a homogeneous gray signal in the dural sac and no recognizable rootlets or visible CSF, although posterior epidural fat is present; and Grade D reflects extreme stenosis, with neither rootlets nor posterior epidural fat visible. In this version, Grades B and C have been merged. Annotations were performed using LabelStudio, a versatile tool for various data types, including images and text. This dataset serves as a valuable resource for understanding lumbar spinal stenosis and has potential applications in developing deep learning-based computer-aided diagnosis (CAD) systems, enhancing medical imaging and diagnostic accuracy.
DOI: 10.17632/n9c6g9vwwm.1
title: A Dataset of Water-Energy-Food Nexus Indicators for Small Island Developing States (SIDS): 2019–2023

description: The database contains water, energy and food indicators for Small Island Developing States (SIDS) from 2019 to 2023.
DOI: 10.17632/fm8g8k6js7.1
title: SimuHaze: Simulated Video Dataset for Dehazing and Benchmarking

description: **Description for the Video Dehazing Dataset** 

The proposed dataset comprises 22 synthetic hazy videos, each carefully designed to simulate varying levels of haze intensity and diverse environmental conditions, such as different lighting, weather patterns, and scene complexities. Each video was converted into individual frames, resulting in a comprehensive dataset suitable for training and evaluating advanced video dehazing algorithms. 

This dataset was utilized to explore a novel machine-learning-based approach that leverages the UNet architecture in conjunction with a linear variance scheduler within the diffusion process framework. The frames serve as input to the dehazing model, enabling the system to learn spatiotemporal features effectively. 

The dataset provides a valuable benchmark for researchers focusing on video dehazing and restoration tasks, offering high-quality synthesized data to test innovative techniques in image enhancement and haze removal. It is particularly suited for algorithms requiring extensive frame-by-frame processing while preserving temporal consistency.
DOI: 10.17632/fm8g8k6js7.2
title: SimuHaze: Simulated Video Dataset for Dehazing and Benchmarking

description: Description for the Video Dehazing Dataset 

The proposed dataset comprises 22 synthetic hazy videos, each carefully designed to simulate varying levels of haze intensity and diverse environmental conditions, such as different lighting, weather patterns, and scene complexities. Each video was converted into individual frames, resulting in a comprehensive dataset suitable for training and evaluating advanced video dehazing algorithms. 

This dataset was utilized to explore a novel machine-learning-based approach that leverages the UNet architecture in conjunction with a linear variance scheduler within the diffusion process framework. The frames serve as input to the dehazing model, enabling the system to learn spatiotemporal features effectively. 

The dataset provides a valuable benchmark for researchers focusing on video dehazing and restoration tasks, offering high-quality synthesized data to test innovative techniques in image enhancement and haze removal. It is particularly suited for algorithms requiring extensive frame-by-frame processing while preserving temporal consistency.
DOI: 10.17632/fm8g8k6js7.3
title: Real-World Video Datasets for Haze Removal

description: Description for the Video Dehazing Dataset 

The proposed dataset comprises 22 synthetic hazy videos, each carefully designed to simulate varying levels of haze intensity and diverse environmental conditions, such as different lighting, weather patterns, and scene complexities. Each video was converted into individual frames, resulting in a comprehensive dataset suitable for training and evaluating advanced video dehazing algorithms. 

This dataset was utilized to explore a novel machine-learning-based approach that leverages the UNet architecture in conjunction with a linear variance scheduler within the diffusion process framework. The frames serve as input to the dehazing model, enabling the system to learn spatiotemporal features effectively. 

The dataset provides a valuable benchmark for researchers focusing on video dehazing and restoration tasks, offering high-quality synthesized data to test innovative techniques in image enhancement and haze removal. It is particularly suited for algorithms requiring extensive frame-by-frame processing while preserving temporal consistency.
DOI: 10.17632/rt43rdk66w.1
title: Hemocyanin modulates hemolymph Vibrio homeostasis through intracellular ROS levels via p38 MAPK

description: Redox reactions are essential for various biological processes, hence, maintaining redox homeostasis is critical for cellular health and host-microbe interactions, particularly in marine invertebrates, where these processes remain poorly understood. This study investigates the role of the respiratory protein hemocyanin in regulating redox-related genes, reactive oxygen species (ROS) levels in shrimp hemocytes, and its influence on immune function and hemolymph Vibrio abundance. Our results show that hemocyanin is crucial in the regulation of the redox system, as hemocyanin knockdown disrupts the expression of antioxidant (PvPOD and PvGPX) and pro-oxidant (PvXOX) genes, leading to elevated ROS levels in hemocytes. Additionally, we found that hemocyanin controls redox homeostasis in hemocytes through the p38-MAPK-c-Jun signaling pathway. Moreover, ROS levels regulated by hemocyanin via the MAPK pathway impacted on hemolymph Vibrio abundance. These findings highlight a crucial role of hemocyanin as an antioxidant that modulates redox balance in shrimp hemocytes, with significant implications for immune defense and microbial homeostasis, offering new insights into antioxidative mechanisms in marine invertebrates.
DOI: 10.17632/gj6m6bys73.1
title: Data for: Disentangling Natural and Anthropogenic Sources of Dust Deposition to a Montane Ecosystem at San Jacinto Peak, Southern California

description: Analyses of mineral dust collected at six locations on San Jacinto Peak in Southern California between August 2019 and March 2022. Dust was collected at approximately four month intervals. Our purpose was to constrain the geochemical properties and flux of dust deposited at various elevations in an alpine ecosystem.
DOI: 10.17632/p9xjyvc5zm
title: Controls on spatiotemporal heterogeneity and evolutions of debris flows along a traffic corridor affected by the strong Wenchuan earthquake

description: The 2008 Wenchuan earthquake produced numerous loose materials with seriously impact on the debris flow within the affected region, notably impeding the traffic safety transport and local economic recovery. Given its extended duration of earthquake aftermath and its significance as a traffic corridor, Wenchuan County, was chosen as the primary study area for examining the evolution of spatiotemporal heterogeneity and determinants of post-earthquake debris flows. 166 debris flow events across 69 catchments in this region from 2008 to 2019 were compiled.
DOI: 10.17632/p9xjyvc5zm.1
title: Controls on spatiotemporal heterogeneity and evolutions of debris flows along a traffic corridor affected by the strong Wenchuan earthquake

description: The 2008 Wenchuan earthquake produced numerous loose materials with seriously impact on the debris flow within the affected region, notably impeding the traffic safety transport and local economic recovery. Given its extended duration of earthquake aftermath and its significance as a traffic corridor, Wenchuan County, was chosen as the primary study area for examining the evolution of spatiotemporal heterogeneity and determinants of post-earthquake debris flows. 166 debris flow events across 69 catchments in this region from 2008 to 2019 were compiled.
DOI: 10.17632/dw47m4zm29
title: Database of Normative and Position Documents on Rural School Development in Post-Soviet Countries

description: Dataset is a list of legal and regulatory documents of national educational policy in the sphere of rural school education. The search for documents was conducted on official websites of national ministries of education, official thematic portals, and specialized legal information websites. A total of 65 documents from 7 countries (Estonia, Georgia, Latvia, Lithuania, Kazakhstan, Moldova, Russia) are presented.
DOI: 10.17632/dw47m4zm29.1
title: Database of Normative and Position Documents on Rural School Development in Post-Soviet Countries

description: Dataset is a list of legal and regulatory documents of national educational policy in the sphere of rural school education. The search for documents was conducted on official websites of national ministries of education, official thematic portals, and specialized legal information websites. A total of 65 documents from 7 countries (Estonia, Georgia, Latvia, Lithuania, Kazakhstan, Moldova, Russia) are presented.
DOI: 10.17632/jpyhnz4cjj.1
title: NEGATIVE EFFECTS OF SOCIAL MEDIA ON SOCIETY AND WAYS TO REDUCE THEM

description: The principles of social justice, adherence to legal norms, the socio-economic well-being of citizens, and democratic pluralism define social security. These elements form the foundation of a secure society.
DOI: 10.17632/jpyhnz4cjj.2
title: NEGATIVE EFFECTS OF SOCIAL MEDIA ON SOCIETY AND WAYS TO REDUCE THEM

description: The principles of social justice, adherence to legal norms, the socio-economic well-being of citizens, and democratic pluralism define social security. These elements form the foundation of a secure society.
DOI: 10.17632/jpyhnz4cjj.3
title: NEGATIVE EFFECTS OF SOCIAL MEDIA ON SOCIETY AND WAYS TO REDUCE THEM

description: The principles of social justice, adherence to legal norms, the socio-economic well-being of citizens, and democratic pluralism define social security. These elements form the foundation of a secure society.
DOI: 10.17632/jpyhnz4cjj.4
title: NEGATIVE EFFECTS OF SOCIAL MEDIA ON SOCIETY AND WAYS TO REDUCE THEM

description: The principles of social justice, adherence to legal norms, the socio-economic well-being of citizens, and democratic pluralism define social security. These elements form the foundation of a secure society.
DOI: 10.17632/7fdnmch6tz.1
title: Tingyu Zhao1

description: the data of digital technology innovationand corporate ESG performance.
DOI: 10.17632/2g6w8d73jd
title: Supplementary materials: Heat stress induces pathological and molecular responses in the gills of largemouth bass (Micropterus salmoides) revealed by histology, transcriptomics, and DNA methylomics

description: Supplementary materials: Heat stress induces pathological and molecular responses in the gills of largemouth bass (Micropterus salmoides) revealed by histology, transcriptomics, and DNA methylomics
DOI: 10.17632/2g6w8d73jd.1
title: Supplementary materials: Heat stress induces pathological and molecular responses in the gills of largemouth bass (Micropterus salmoides) revealed by histology, transcriptomics, and DNA methylomics

description: Supplementary materials: Heat stress induces pathological and molecular responses in the gills of largemouth bass (Micropterus salmoides) revealed by histology, transcriptomics, and DNA methylomics
DOI: 10.17632/fbp9z723vg
title: Data for: A whale optimization algorithm with Q-learning and processing sequence-based distance for solving distributed blocking multi-product batch plant scheduling with sequence-dependent setup times

description: Data for the paper entitled "A whale optimization algorithm with Q-learning and processing sequence-based distance for solving distributed blocking multi-product batch plant scheduling with sequence-dependent setup times"
DOI: 10.17632/fbp9z723vg.1
title: Data for: A whale optimization algorithm with Q-learning and processing sequence-based distance for solving distributed blocking multi-product batch plant scheduling with sequence-dependent setup times

description: Data for the paper entitled "A whale optimization algorithm with Q-learning and processing sequence-based distance for solving distributed blocking multi-product batch plant scheduling with sequence-dependent setup times"
DOI: 10.17632/f4nhdtwzdb.1
title: Juggler-like sequences

description: Dataset of trajectories and sample code to generate trajectoroies
DOI: 10.17632/w75fnc3gjz.1
title: RISK FACTORS FOR ANASTOMOTIC LEAK AFTER COLON RESECTION FOR CÁNCER. RESULTS FROM A MULTICENTRIC OBSERVATIONAL NATIONAL STUDY (ANACO II).

description: This is the complete dataset of this multicenter observational prospective study including over than 50 institutions nationwide
DOI: 10.17632/4j4xdghpmf.1
title: Approach to Scalp Biopsy Hemostasis: Utilizing the Hemostat Finger Ring Handle for Compression

description: This video demonstrates a technique for achieving hemostasis during scalp punch biopsies using the handle ring of a standard hemostat. The method involves applying gentle compression with the handle ring to stabilize the biopsy site, aiding with precise placement of the punch tool, minimizing bleeding, and enhancing procedural efficiency. The technique simplifies scalp biopsies by improving visibility and reducing procedural time.
DOI: 10.15468/dl.ewxy5h
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aves",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2001",
 "Year is less than or equal to 2020",
 "Geometry POLYGON ((0.5159435 11.06739, 0.5159435 11.31914, 0.7257099 11.31914, 0.7257099 11.06739, 0.5159435 11.06739))"
 ]
}

 The dataset includes 34 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001646-250121130708018/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/gwyp5rv43h.1
title: An image dataset for classifying lather based on lather pattern

description: This dataset comprises 1436 images of cow and goat leather, highlighting the diverse patterns and textures found in different stages of leather processing. The collection is categorized into wet blue, cow crust, cow crust (opposite side),cow crust(rejected), cow finished leather, cow finished (opposite side),cow finished (rejected) and goat finished leather.
DOI: 10.17632/gwyp5rv43h.2
title: An image dataset for classifying leather based on leather pattern

description: This dataset comprises 1436 images of cow and goat leather, highlighting the diverse patterns and textures found in different stages of leather processing. The collection is categorized into wet blue, cow crust, cow crust (opposite side),cow crust(rejected), cow finished leather, cow finished (opposite side), cow finished (rejected quality) and goat finished leather.
DOI: 10.17632/3crwr4zg3f.1
title: Risk of predation in two Patagonian Liolaemus lizards - Dataset

description: Data for the research paper "Risk of predation in two Patagonian Liolaemus lizards: similar antipredator behaviour in different environmental contexts".
DOI: 10.17632/bjrytnjy4z.1
title: Using retrospective analyses to adaptively manage conservation breeding of an endangered rodent

description: Data were collected over the first 10 years of our conservation breeding program for the endangered pacific pocket mouse. Data are for breeding trials and include information on each mouse in the pairing as well as the outcomes of the breeding attempt.
DOI: 10.17632/hbfc9j8hj8.1
title: MAAD : Multi-Label Arabic Articles Dataset

description: The MAAD dataset represents a comprehensive collection of Arabic news articles that may be employed across a diverse array of Arabic Natural Language Processing (NLP) applications, including but not limited to classification, text generation, summarization, and various other tasks. The dataset was diligently assembled through the application of specifically designed Python scripts that targeted six prominent news platforms: Al Jazeera, BBC Arabic, Youm7, Russia Today, and Al Ummah, in conjunction with regional and local media outlets, ultimately resulting in a total of 602,792 articles. This dataset exhibits a total word count of 29,371,439, with the number of unique words totaling 296,518; the average word length has been determined to be 6.36 characters, while the mean article length is calculated at 736.09 characters. This extensive dataset is categorized into ten distinct classifications: Political, Economic, Cultural, Arts, Sports, Health, Technology, Community, Incidents, and Local. The data fields are categorized into five distinct types: Title, Article, Summary, Category, and Published_ Date. The MAAD dataset is structured into six files, each named after the corresponding news outlets from which the data was sourced; within each directory, text files are provided, containing the number of categories represented in a single file, formatted in txt to accommodate all news articles. This dataset serves as an expansive standard resource designed for utilization within the context of our research endeavors.
DOI: 10.17632/55by8493dz.1
title: Paper correlations

description: These files have been analysed for writing the paper "An exploratory study about the relationship between rewards appreciation in games and Self-Determination Theory’s basic psychological needs satisfaction".
The folder includes:
- excel data set complete
- SPSS file