cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/hywgh8gm92
title: Investigating the effect of microbial inoculation on raindrop splash erosion: Indoor simulated rainfall and Hairsine-Rose model analysis

description: The core physical mechanism of rainfall soil erosion is primarily driven by the raindrop splash erosion process. The application of microorganisms to inhibit rain erosion has been confirmed; however, the raindrop splash erosion process and its underlying mechanisms under microbial application conditions remain unclear. Therefore, in this study, different types of microbial inoculants were applied to the surface of silty clay loam black soil under simulated heavy rainfall conditions, with varying concentrations and inoculation methods, to investigate the response characteristics and underlying mechanisms of microbial effects on the splash erosion process. The raindrop splash erosion process was simulated and analyzed using COMSOL Multiphysics in conjunction with the Hairsine-Rose soil erosion model. The experimental results showed that among the different inoculant concentration treatments, the 107 CFU·mL-1 concentration had the highest infiltration rate and the lowest surface runoff, leading to a reduction in SSC (Suspended Sediment Concentration) by an average of 26.33%, 23.45%, and 6.48% for the B7, C7, and BC7 treatments, respectively, compared to the control group. Meanwhile, the type and application method of inoculants significantly influenced the raindrop splash erosion process. Specifically, the individual inoculation treatments exhibited better inhibitory effects on suspended sediment concentration (SSC) and suspended sediment (SS) compared to the combined inoculation treatments. Among, the individual inoculation of Bacillus subtilis showed the most effective inhibition. The model simulation results indicated that microbial inoculation treatments effectively inhibited raindrop splash erosion by reducing the bare soil detachability (a) and the fraction of eroded sediment (β), while increasing the material required to completely shield the soil (Md). However, considering the dynamic changes of microorganisms in the soil and the ongoing debate regarding their applicability to different soil types and environments, further research is needed to achieve the practical application of this technology in soil erosion control.
DOI: 10.5065/d6zc8119
title: Council Bulk Density Data (ASCII). Version 1.0

description: This dataset includes mean bulk density for soil layers at sites measured in 1999 in ASCII format. There were 3 flux and climate towers at Council, Seward Peninsula, Alaska. Two towers were used at the tundra and forest sites. The third tower was mobile covering lowshrub, shrub, woodland and burned tundra. This dataset is also available in an Excel format. For more information, please see the read-me file.
DOI: 10.17632/hywgh8gm92.1
title: Investigating the effect of microbial inoculation on raindrop splash erosion: Indoor simulated rainfall and Hairsine-Rose model analysis

description: The core physical mechanism of rainfall soil erosion is primarily driven by the raindrop splash erosion process. The application of microorganisms to inhibit rain erosion has been confirmed; however, the raindrop splash erosion process and its underlying mechanisms under microbial application conditions remain unclear. Therefore, in this study, different types of microbial inoculants were applied to the surface of silty clay loam black soil under simulated heavy rainfall conditions, with varying concentrations and inoculation methods, to investigate the response characteristics and underlying mechanisms of microbial effects on the splash erosion process. The raindrop splash erosion process was simulated and analyzed using COMSOL Multiphysics in conjunction with the Hairsine-Rose soil erosion model. The experimental results showed that among the different inoculant concentration treatments, the 107 CFU·mL-1 concentration had the highest infiltration rate and the lowest surface runoff, leading to a reduction in SSC (Suspended Sediment Concentration) by an average of 26.33%, 23.45%, and 6.48% for the B7, C7, and BC7 treatments, respectively, compared to the control group. Meanwhile, the type and application method of inoculants significantly influenced the raindrop splash erosion process. Specifically, the individual inoculation treatments exhibited better inhibitory effects on suspended sediment concentration (SSC) and suspended sediment (SS) compared to the combined inoculation treatments. Among, the individual inoculation of Bacillus subtilis showed the most effective inhibition. The model simulation results indicated that microbial inoculation treatments effectively inhibited raindrop splash erosion by reducing the bare soil detachability (a) and the fraction of eroded sediment (β), while increasing the material required to completely shield the soil (Md). However, considering the dynamic changes of microorganisms in the soil and the ongoing debate regarding their applicability to different soil types and environments, further research is needed to achieve the practical application of this technology in soil erosion control.
DOI: 10.17632/k8m2cwnv67
title: School absenteeism and associated factors among children and adolescents attending sickle cell clinic, Mulago National Referral Hospital, Kampala district

description: In Uganda, over 15,000 babies are born with Sickle Cell Disease (SCD) every year, with 50% surviving to school age. Children and adolescents with SCD frequently experience recurrent complications that impact their quality of life and disrupt daily activities, including school attendance. School absenteeism is a key indicator used by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) to assess the risk of school dropout and identify students in need of special support.
Objective: To assess the burden of school absenteeism and factors associated with Chronic absenteeism among children and adolescents with SCD.
Methods: A comparative cross-sectional survey was conducted at the Sickle Cell Clinic of Mulago National Referral Hospital in 2024. Participants included: children and adolescents, aged 6-19 years, with SCD, their peers or siblings without SCD, and their parents, guardians, or caretakers. Data was collected on the number of school days missed (primary outcome), socio-demographics, stigma, coping strategies, knowledge about SCD, and medical history. We also abstracted data from the medical records and performed physical and clinical examinations. Chronic school absenteeism was defined as per the United Nations Educational, Scientific, and Cultural Organization (UNESCO) criteria as missing at least 10% of the expected school days in the previous school term. Logistic regression was used to determine factors associated with school absenteeism. A p-value &lt; 0.05 was considered significant. 
Results: A total of 179 children with SCD (along with their caretakers) and 179 siblings/peers participated. The median age of both groups was 11 years. Children with SCD had a median number of 1 clinic visit (range 0-5), 0 hospital admissions (range 0-5), 1 pain crisis (range 0-10), and 0 blood transfusions (range 0-5) in the previous term. Those who were admitted had a median hospital stay of 7 days (IQR 3-10). Class repetition was more common among children with SCD (24%, 42/177) versus their siblings/ peers (14%, 25/179), p=0.018. School absenteeism was significantly higher among children with SCD (88.8%, 159/179) vs (36.9%, 66/179); missed a median of 5 days (IQR 2-10) in the previous term compared to 0 days (IQR 0-3) among their peers (p&lt;0.001). Chronic school absenteeism affected 33% (59/179) of children with SCA versus 6% (11/179) among peers. Children with SCD had 7.3 times higher odds of chronic absenteeism than their peers. Among children with SCD, those who had ever repeated a class were more likely to be chronically absent. Additionally, each hospital admission increased their likelihood of chronic absenteeism . 
Conclusions: Children and adolescents with SCD experienced significantly high rates of school absenteeism compared to their siblings or peers, with one-third chronically absent. Class repetition and frequent hospital admissions were strongly associated with absenteeism
DOI: 10.15468/dl.c2t86q
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035017-250920141307145/datasets/export for details.
DOI: 10.17632/k8m2cwnv67.1
title: School absenteeism and associated factors among children and adolescents attending sickle cell clinic, Mulago National Referral Hospital, Kampala district

description: In Uganda, over 15,000 babies are born with Sickle Cell Disease (SCD) every year, with 50% surviving to school age. Children and adolescents with SCD frequently experience recurrent complications that impact their quality of life and disrupt daily activities, including school attendance. School absenteeism is a key indicator used by the United Nations Educational, Scientific, and Cultural Organization (UNESCO) to assess the risk of school dropout and identify students in need of special support.
Objective: To assess the burden of school absenteeism and factors associated with Chronic absenteeism among children and adolescents with SCD.
Methods: A comparative cross-sectional survey was conducted at the Sickle Cell Clinic of Mulago National Referral Hospital in 2024. Participants included: children and adolescents, aged 6-19 years, with SCD, their peers or siblings without SCD, and their parents, guardians, or caretakers. Data was collected on the number of school days missed (primary outcome), socio-demographics, stigma, coping strategies, knowledge about SCD, and medical history. We also abstracted data from the medical records and performed physical and clinical examinations. Chronic school absenteeism was defined as per the United Nations Educational, Scientific, and Cultural Organization (UNESCO) criteria as missing at least 10% of the expected school days in the previous school term. Logistic regression was used to determine factors associated with school absenteeism. A p-value &lt; 0.05 was considered significant. 
Results: A total of 179 children with SCD (along with their caretakers) and 179 siblings/peers participated. The median age of both groups was 11 years. Children with SCD had a median number of 1 clinic visit (range 0-5), 0 hospital admissions (range 0-5), 1 pain crisis (range 0-10), and 0 blood transfusions (range 0-5) in the previous term. Those who were admitted had a median hospital stay of 7 days (IQR 3-10). Class repetition was more common among children with SCD (24%, 42/177) versus their siblings/ peers (14%, 25/179), p=0.018. School absenteeism was significantly higher among children with SCD (88.8%, 159/179) vs (36.9%, 66/179); missed a median of 5 days (IQR 2-10) in the previous term compared to 0 days (IQR 0-3) among their peers (p&lt;0.001). Chronic school absenteeism affected 33% (59/179) of children with SCA versus 6% (11/179) among peers. Children with SCD had 7.3 times higher odds of chronic absenteeism than their peers. Among children with SCD, those who had ever repeated a class were more likely to be chronically absent. Additionally, each hospital admission increased their likelihood of chronic absenteeism . 
Conclusions: Children and adolescents with SCD experienced significantly high rates of school absenteeism compared to their siblings or peers, with one-third chronically absent. Class repetition and frequent hospital admissions were strongly associated with absenteeism
DOI: 10.17632/gs855nvky4
title: Religiosity and Well-Being Among Hindu Elderly

description: The study was conducted in Rajajipuram, Lucknow, India. Rajajipuram specifically was chosen because it encompasses diverse socioeconomic neighbourhoods, and its representation of both traditional family-based elderly care and emerging institutional care options. This geographic diversity ensures that the sample represents various socioeconomic backgrounds and living arrangement options available to elderly Hindus in contemporary urban India.
Sampling Strategy
The target population consisted of Hindu elderly individuals aged 65 and above living in either institutional care facilities or independently in their own homes within the Rajajipuram area. The age criterion of 65 years was selected based on standard gerontological definitions of elderly populations and alignment with Indian government classifications for senior citizens.
A stratified sampling approach was employed to ensure balanced representation across living arrangements and key demographic characteristics. This sampling strategy was designed to minimize selection bias and enhance the generalizability of findings within the study population.
For the institutional group, a complete enumeration approach was conducted across two purposively selected old age homes in Rajajipuram. These facilities were chosen based on several criteria: (1) primary service to Hindu elderly residents, (2) minimum operational period of five years to ensure established care practices, (3) willingness to participate in research, and (4) representation of different institutional models (one religiously affiliated, one secular). A total of 44 residents aged 65 and above met the inclusion criteria and agreed to participate, representing a 100% response rate among eligible residents.
For the home-dwelling group, 44 participants were randomly selected from the same geographic area and matched on key demographic characteristics (age, gender, education level) to minimize confounding variables.
Inclusion Criteria:
• Age 65 years or older
• Self-identified Hindu
• Resided in current setting for minimum 6 months
• Adequate cognitive capacity for informed consent
Exclusion Criteria:
• Severe cognitive impairment
• Acute medical conditions impeding participation
Data Collection Procedures
Data were collected through structured face-to-face interviews using validated instruments administered by trained research assistants in Hindi and familiar with local cultural practices. Interviews were conducted in private settings to ensure confidentiality and comfort.
DOI: 10.17632/gs855nvky4.2
title: Religiosity and Well-Being Among Hindu Elderly

description: The study was conducted in Rajajipuram, Lucknow, India. Rajajipuram specifically was chosen because it encompasses diverse socioeconomic neighbourhoods, and its representation of both traditional family-based elderly care and emerging institutional care options. This geographic diversity ensures that the sample represents various socioeconomic backgrounds and living arrangement options available to elderly Hindus in contemporary urban India.
Sampling Strategy
The target population consisted of Hindu elderly individuals aged 65 and above living in either institutional care facilities or independently in their own homes within the Rajajipuram area. The age criterion of 65 years was selected based on standard gerontological definitions of elderly populations and alignment with Indian government classifications for senior citizens.
A stratified sampling approach was employed to ensure balanced representation across living arrangements and key demographic characteristics. This sampling strategy was designed to minimize selection bias and enhance the generalizability of findings within the study population.
For the institutional group, a complete enumeration approach was conducted across two purposively selected old age homes in Rajajipuram. These facilities were chosen based on several criteria: (1) primary service to Hindu elderly residents, (2) minimum operational period of five years to ensure established care practices, (3) willingness to participate in research, and (4) representation of different institutional models (one religiously affiliated, one secular). A total of 44 residents aged 65 and above met the inclusion criteria and agreed to participate, representing a 100% response rate among eligible residents.
For the home-dwelling group, 44 participants were randomly selected from the same geographic area and matched on key demographic characteristics (age, gender, education level) to minimize confounding variables.
Inclusion Criteria:
• Age 65 years or older
• Self-identified Hindu
• Resided in current setting for minimum 6 months
• Adequate cognitive capacity for informed consent
Exclusion Criteria:
• Severe cognitive impairment
• Acute medical conditions impeding participation
Data Collection Procedures
Data were collected through structured face-to-face interviews using validated instruments administered by trained research assistants in Hindi and familiar with local cultural practices. Interviews were conducted in private settings to ensure confidentiality and comfort.
DOI: 10.15468/dl.mf9wdt
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035018-250920141307145/datasets/export for details.
DOI: 10.5065/d6tm789k
title: Digital Elevation Model (DEM) Output of the Ivotuk Site. Version 1.0

description: This dataset is a digital elevation model of the Ivotuk site from the Snow, Shrubs, and Weather Group. It contains two files, an ASCII data file and a .jpg image of the data.
DOI: 10.17632/2px6jdmpyc.1
title: Dataset

description: The dataset includes the data, variables, supplemantary information and
sources that are used in the original article.
DOI: 10.17632/hs9hy54hzv
title: A Curated Dataset of Research Abstracts on AI and Large Language Models in Information Management and Librarianship (2020-2024)

description: This dataset contains 303 curated abstracts of research articles focusing on the application of Artificial Intelligence (AI) and Large Language Models (LLMs) in information management, library science, and related services. The data was systematically collected from the Scopus database for publications between 2020 and 2024.

The original search result yielded 498 documents. This was refined to 307 records upon exporting abstract data. A final set of 303 high-quality abstracts was established after a rigorous preprocessing and cleaning pipeline to ensure data integrity and suitability for natural language processing (NLP) and semantic analysis tasks.

This collection is ideal for researchers working in:

 Text Mining and Semantic Clustering

 Topic Modeling and Research Trend Analysis

 Natural Language Processing (NLP) Applications

 Bibliometric and Scientometric Studies

 AI in Libraries and Information Services

Keywords: Artificial Intelligence; Large Language Models; Natural Language Processing; Information Management; Librarianship; Research Abstracts; Text Dataset; Scopus.
2. For the Cluster Assignments File

File Name: abstracts_AI_LLM_librarianship_cluster_assignments.csv

Title:
Semantic Cluster Assignments for a Corpus of AI/LLM in Librarianship Research Abstracts

Description:
This file provides the semantic cluster assignments for the corresponding dataset "A Curated Dataset of Research Abstracts on AI and Large Language Models in Information Management and Librarianship (2020-2024)". The clusters were generated by applying K-means clustering to average GloVe word embeddings of the article abstracts.

The analysis identified 7 distinct, semantically coherent research themes, which are detailed in the associated research article. This data is provided to facilitate reproducibility, further analysis, and to serve as a ground truth for comparative studies in semantic clustering and topic discovery.

The file includes the document identifier and its corresponding cluster label (0-6). The dominant themes for each cluster are:

 Cluster 0: Healthcare Information Systems

 Cluster 1: Information Retrieval Systems

 Cluster 2: Research Data Management (RDM)

 Cluster 3: Digital Library Adoption

 Cluster 4: Knowledge Management

 Cluster 5: Reference Services

 Cluster 6: Scientific Publishing

Keywords: Semantic Clustering; K-means; Cluster Labels; Research Themes; Topic Discovery; GloVe Embeddings; Text Mining.
DOI: 10.17632/hs9hy54hzv.1
title: A Curated Dataset of Research Abstracts on AI and Large Language Models in Information Management and Librarianship (2020-2024)

description: This dataset contains 303 curated abstracts of research articles focusing on the application of Artificial Intelligence (AI) and Large Language Models (LLMs) in information management, library science, and related services. The data was systematically collected from the Scopus database for publications between 2020 and 2024.

The original search result yielded 498 documents. This was refined to 307 records upon exporting abstract data. A final set of 303 high-quality abstracts was established after a rigorous preprocessing and cleaning pipeline to ensure data integrity and suitability for natural language processing (NLP) and semantic analysis tasks.

This collection is ideal for researchers working in:

 Text Mining and Semantic Clustering

 Topic Modeling and Research Trend Analysis

 Natural Language Processing (NLP) Applications

 Bibliometric and Scientometric Studies

 AI in Libraries and Information Services

Keywords: Artificial Intelligence; Large Language Models; Natural Language Processing; Information Management; Librarianship; Research Abstracts; Text Dataset; Scopus.
2. For the Cluster Assignments File

File Name: abstracts_AI_LLM_librarianship_cluster_assignments.csv

Title:
Semantic Cluster Assignments for a Corpus of AI/LLM in Librarianship Research Abstracts

Description:
This file provides the semantic cluster assignments for the corresponding dataset "A Curated Dataset of Research Abstracts on AI and Large Language Models in Information Management and Librarianship (2020-2024)". The clusters were generated by applying K-means clustering to average GloVe word embeddings of the article abstracts.

The analysis identified 7 distinct, semantically coherent research themes, which are detailed in the associated research article. This data is provided to facilitate reproducibility, further analysis, and to serve as a ground truth for comparative studies in semantic clustering and topic discovery.

The file includes the document identifier and its corresponding cluster label (0-6). The dominant themes for each cluster are:

 Cluster 0: Healthcare Information Systems

 Cluster 1: Information Retrieval Systems

 Cluster 2: Research Data Management (RDM)

 Cluster 3: Digital Library Adoption

 Cluster 4: Knowledge Management

 Cluster 5: Reference Services

 Cluster 6: Scientific Publishing

Keywords: Semantic Clustering; K-means; Cluster Labels; Research Themes; Topic Discovery; GloVe Embeddings; Text Mining.
DOI: 10.17632/ndkykm8k25
title: Using Gene Methylation Detection in Bronchoscopic Samples Combined with Morphological Pathology for Lung Cancer Diagnosis

description: The raw data of this manuscript.
DOI: 10.17632/ndkykm8k25.1
title: Using Gene Methylation Detection in Bronchoscopic Samples Combined with Morphological Pathology for Lung Cancer Diagnosis

description: The raw data of this manuscript.
DOI: 10.15468/dl.z5bnrx
title: Occurrence Download

description: A dataset containing 601 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Manihot esculenta",
 "Country is Mexico",
 "HasCoordinate is true"
 ]
}

 The dataset includes 601 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0035019-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/k6vx2jd5zh
title: Interest Rate Uncertainty as a Policy Tool?

description: Replication package — “Interest Rate Uncertainty as a Policy Tool?”