cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rsyytm837s
title: Supplementary Material Mohs Apple Watch Anxiety Pain

description: Supplementary Material Mohs Apple Watch Anxiety Pain.
DOI: 10.17632/rsyytm837s.1
title: Supplementary Material Mohs Apple Watch Anxiety Pain

description: Supplementary Material Mohs Apple Watch Anxiety Pain.
DOI: 10.17632/mrp425jphp
title: Survey on Attitudes Towards Social Welfare in Kamanga, Lusaka, Zambia

description: This survey was conducted to ascertain the attitudes of low-income infromal sector workers towards social welfare. It uses conjoint analysis to determine how urban residents of Kamanga, an informal township in Zambia's capital city Lusaka, rate deservingness of social assistance on a range of attributes. Each respondent was presented with six randomly generated profiles, giving a total of 1,200 assessments of deservingness. Data for the study was collected using a survey of 200 households using a non-random sample of every fourth household.
DOI: 10.15468/dl.9y2ujm
title: Occurrence Download

description: A dataset containing 190 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amomyrtus luma (Molina) D.Legrand & Kausel",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 190 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049694-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/mrp425jphp.1
title: Survey on Attitudes Towards Social Welfare in Kamanga, Lusaka, Zambia

description: This survey was conducted to ascertain the attitudes of low-income infromal sector workers towards social welfare. It uses conjoint analysis to determine how urban residents of Kamanga, an informal township in Zambia's capital city Lusaka, rate deservingness of social assistance on a range of attributes. Each respondent was presented with six randomly generated profiles, giving a total of 1,200 assessments of deservingness. Data for the study was collected using a survey of 200 households using a non-random sample of every fourth household.
DOI: 10.15468/dl.b83eya
title: Occurrence Download

description: A dataset containing 2158 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Country is one of (Mexico, United States of America, Guatemala, El Salvador, Cuba, Haiti, Jamaica, Honduras, Panama)",
 "OccurrenceStatus is Present",
 "TaxonKey is Carduus acanthoides L.",
 "Year 1900-2025"
 ]
}

 The dataset includes 2158 records from 116 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049695-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/6bs574w97v.1
title: Demographics, Comorbidities, Medications, and Healthcare Encounter History Before and After Propensity Matching

description: Supplementary tables for the article "Decreased risk of Cardiovascular Disease in Dermatology Patients Taking Niacinamide."
DOI: 10.17632/k3y99b8kwy
title: Explainable and Personalized Digital Cognitive Stimulation for Older Adults Using AI-Based Adaptive Modeling

description: This dataset contains anonymized information from 150 older adults who participated in a 24-week longitudinal study on personalized cognitive stimulation using a digital platform powered by explainable artificial intelligence. It includes variables such as experimental group, gender, age, educational level, initial and final cognitive scores, as well as absolute and percentage improvements in performance. The purpose of the dataset is to facilitate replication of analyses, validation of predictive models, and statistical exploration of digital interventions for healthy aging.
DOI: 10.17632/k3y99b8kwy.1
title: Explainable and Personalized Digital Cognitive Stimulation for Older Adults Using AI-Based Adaptive Modeling

description: This dataset contains anonymized information from 150 older adults who participated in a 24-week longitudinal study on personalized cognitive stimulation using a digital platform powered by explainable artificial intelligence. It includes variables such as experimental group, gender, age, educational level, initial and final cognitive scores, as well as absolute and percentage improvements in performance. The purpose of the dataset is to facilitate replication of analyses, validation of predictive models, and statistical exploration of digital interventions for healthy aging.
DOI: 10.17632/gvkcsb6whb
title: Investigation and analysis on the factors for Orthopaedics nurses' attitudes toward “Internet + Home-visit Nursing Service and their willingness to implement it, from developed area s of China : A- multicenter Study

description: From April to June 2024, on the basis of literature analysis and expert meetings, the "Internet +" Home-visit Nursing Service cognition and willingness questionnaire was prepared. A questionnaire survey was conducted by 321 orthopedic nurses from top three hospitals in 11 cities of Zhejiang Province by means of convenient sampling. Single factor analysis and multiple linear regression were used to analyze the influencing factors of "Internet +" Home-visit Nursing Service among orthopedic nurses.
DOI: 10.17632/gvkcsb6whb.1
title: Investigation and analysis on the factors for Orthopaedics nurses' attitudes toward “Internet + Home-visit Nursing Service and their willingness to implement it, from developed area s of China : A- multicenter Study

description: From April to June 2024, on the basis of literature analysis and expert meetings, the "Internet +" Home-visit Nursing Service cognition and willingness questionnaire was prepared. A questionnaire survey was conducted by 321 orthopedic nurses from top three hospitals in 11 cities of Zhejiang Province by means of convenient sampling. Single factor analysis and multiple linear regression were used to analyze the influencing factors of "Internet +" Home-visit Nursing Service among orthopedic nurses.
DOI: 10.17632/nnmnrmc5gw
title: Unloking Export Potential

description: SPSS raw data
DOI: 10.17632/nnmnrmc5gw.1
title: Unloking Export Potential

description: SPSS raw data
DOI: 10.17632/2zkgrhfjrx
title: Higher Plasma Kynurenine to Tryptophan Correlates with Increased Incidence of Mild Cognitive Impairment in Treated Metabolic Syndrome Patients

description: An increase in cognitive impairment has been observed in metabolic syndrome (MetS) patients. Although alterations in metabolomic profiles have been identified as potential plasma/serum biomarkers of mild cognitive impairment (MCI) and MetS, findings remain inconsistent— likely due to the heterogeneity among MetS patients and the lack of subsequent validation using targeted analysis after initial untargeted analysis. In this study, we validated mass spectrometry-based quantitation methods and quantified amino acids, fatty acids, and tryptophan metabolites in the kynurenine pathway in plasma of ninety-five treated MetS patients with and without MCI assessed by Montreal cognitive assessment. We found that MCI was positively associated with kynurenine to tryptophan ratio (KTR) after the adjustment for age, gender, and BMI, as well as were negatively associated with C20:3 [all-Z-8,11,14] and lysine. One-unit increase in KTR resulted in increased probability of developing MCI by 371%. In contrast, one-unit increases in C20:3 and lysine were associated with decreased odds of developing MCI by 81% and 78%, respectively. Our finding underscores the prominent neuroinflammation, beyond normal aging, in MetS patients, even under ongoing clinical treatment. It also points to the potential of KTR as a risk marker for MCI, offering a valuable complement to the existing cognitive assessments that may be influenced by educational background. In addition, the validated metabolite data is an useful resource for future research. It can facilitate comparisons across different studies, contribute to large-scale analyses, and be used in machine learning models for discovering and validating new biomarkers.
DOI: 10.17632/2zkgrhfjrx.1
title: Higher Plasma Kynurenine to Tryptophan Correlates with Increased Incidence of Mild Cognitive Impairment in Treated Metabolic Syndrome Patients

description: An increase in cognitive impairment has been observed in metabolic syndrome (MetS) patients. Although alterations in metabolomic profiles have been identified as potential plasma/serum biomarkers of mild cognitive impairment (MCI) and MetS, findings remain inconsistent— likely due to the heterogeneity among MetS patients and the lack of subsequent validation using targeted analysis after initial untargeted analysis. In this study, we validated mass spectrometry-based quantitation methods and quantified amino acids, fatty acids, and tryptophan metabolites in the kynurenine pathway in plasma of ninety-five treated MetS patients with and without MCI assessed by Montreal cognitive assessment. We found that MCI was positively associated with kynurenine to tryptophan ratio (KTR) after the adjustment for age, gender, and BMI, as well as were negatively associated with C20:3 [all-Z-8,11,14] and lysine. One-unit increase in KTR resulted in increased probability of developing MCI by 371%. In contrast, one-unit increases in C20:3 and lysine were associated with decreased odds of developing MCI by 81% and 78%, respectively. Our finding underscores the prominent neuroinflammation, beyond normal aging, in MetS patients, even under ongoing clinical treatment. It also points to the potential of KTR as a risk marker for MCI, offering a valuable complement to the existing cognitive assessments that may be influenced by educational background. In addition, the validated metabolite data is an useful resource for future research. It can facilitate comparisons across different studies, contribute to large-scale analyses, and be used in machine learning models for discovering and validating new biomarkers.
DOI: 10.17632/7xsw6nyb5b.3
title: Plasmid_release_Research Data

description: This dataset “Plasmid_release_Research Data”contains the original data of all the figures and tables in the submitted article“Release and bacterial transformation activity of plasmid-borne antibiotic resistance genes adsorbed on iron nanoparticles as induced by sulfide reduction” for Chemical Geology.
DOI: 10.17632/2rwdfvkgmf
title: Supplementary material for the original article entitled ''Efficacy and Safety of Vismodegib for Locally Advanced Basal Cell Carcinoma: Nine-Year Outcomes from 133 Individually Treated Patients''

description: Contents: Supplementary Figure 1, Supplementary Table 1, Supplementary Table 2, Supplementary Table 3 and Supplementary Table 4.
DOI: 10.17632/2rwdfvkgmf.1
title: Supplementary material for the original article entitled ''Efficacy and Safety of Vismodegib for Locally Advanced Basal Cell Carcinoma: Nine-Year Outcomes from 133 Individually Treated Patients''

description: Contents: Supplementary Figure 1, Supplementary Table 1, Supplementary Table 2, Supplementary Table 3 and Supplementary Table 4.
DOI: 10.17632/d5jn472x7r
title: Dataset for "Co-60 Gamma Radiation Cross-Linked Biopolymer Bonding of Steel and Wood Composites for Elevated Temperature Applications"

description: This is the dataset for manuscript "Co-60 Gamma Radiation Cross-Linked Biopolymer Bonding of Steel and Wood Composites for Elevated Temperature Applications". The dataset contains raw data for steel dowel tensile testing at room temperature, aluminum stripe shear testing at elevated temperatures, PLA stripe tensile testing for DCP studies, and the heat resistance tests for wood sample. This dataset is for readers who are interested in the work presented in the manuscript and wish to examine relevant data.
DOI: 10.17632/d5jn472x7r.1
title: Dataset for "Co-60 Gamma Radiation Cross-Linked Biopolymer Bonding of Steel and Wood Composites for Elevated Temperature Applications"

description: This is the dataset for manuscript "Co-60 Gamma Radiation Cross-Linked Biopolymer Bonding of Steel and Wood Composites for Elevated Temperature Applications". The dataset contains raw data for steel dowel tensile testing at room temperature, aluminum stripe shear testing at elevated temperatures, PLA stripe tensile testing for DCP studies, and the heat resistance tests for wood sample. This dataset is for readers who are interested in the work presented in the manuscript and wish to examine relevant data.
DOI: 10.17632/n9cnbd3st3
title: Supplementary materials

description: Supporting Information
DOI: 10.17632/n9cnbd3st3.1
title: Supplementary materials

description: Supporting Information
DOI: 10.15468/dl.b2gqg2
title: Occurrence Download

description: A dataset containing 68 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Amomyrtus meli (Phil.) D.Legrand & Kausel",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 68 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049696-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/8fv65cyhz6.1
title: Transfer learning on stacked machine-learning model for predicting pull-out behavior of steel fibers from concrete

description: A dataset was compiled with nine inputs, including fiber type (F-T), diameter (d), aspect ratio (l/d), inclination angle (θ), embedment length (Le), fiber tensile strength (σt), loading rate (V), water-to-cement ratio (W/C), and concrete compressive strength (σc). The output parameters were the average bond strength (τavg), equivalent bond strength (τeq), pullout energy (W), and peak load (Fmax) with the corresponding slip (S). A total of 472 data points were compiled through a literature review of 47 peer-reviewed academic articles (see [21, 47–92]). For more information, please see the paper linked to this dataset.
DOI: 10.17632/p6jkzkpdd6
title: Tanybase - Combined and Curated Tanycyte Database

description: Tanycytes are ependymal-like glial cells that play a crucial role in regulating the neuroendocrine system, metabolism, and glucose homeostasis. Tanycytes lie in the wall of the third ventricle and coordinate various functions. Traditionally, tanycytes were classified into four subtypes based on their position in the ventricular wall: alpha 1, alpha 2, beta 1 and beta 2 tanycytes. Recent scRNA-seq studies have investigated the role of tanycytes at the transcriptome level, but they fall short due to the limited number of tanycytic cells in the datasets. To address this shortcoming, two prominent databases, Tany-seq and Hypomap, were compiled by combining several hypothalamus and tanycyte scRNA-seq studies on this topic. Even after these noble works, however, the number of tanycytes for each subtype and condition was still limited. To eliminate this pitfall and help future researchers in their quest to identify the role of tanycytes to a greater extent, we combined these two databases into a single mouse tanycyte-specific database called tanybase. Tanybase has a total of 20,610 cells from 4 tanycytic subtypes, 5 different diets and 3 different ages. 

In short, Tanybase was formed by combining two scRNAseq databases of mouse tanycytes, Hypomap and Tany-seq. Hypomap and Tany-seq databases were combined using shared parameters, including diet, age, tanycyte subclusters, original identity and dataset. Unique cells in each database were combined, and cells with more than 15% mitochondrial transcripts, a total RNA count below 600, and fewer than 200 unique features were removed. We included only cells that were labelled as tanycyte according to the Allen Institute MapMyCells software (RRID:SCR_024672). For integration, Tanybase was split into different layers for each dataset containing more than 100 cells and datasets that have less than 100 cells were combined (‘others’). Tanybase was scaled, normalized and variable features were determined using Seurat functions. Principle-component analysis was performed as well as integration for batch correction using canonical correlation analysis. After the integration, layers were re-joined. For dimensionality reduction, we performed UMAP clustering with FindClusters and FindNeighbors functions. Labels were transferred from corresponding databases; unlabelled cells were labelled using module scores and the markers provided in Tany-seq. For Tanybase, we used Seurat (v.5.2.0), AnnData, Matrix packages.
DOI: 10.17632/p6jkzkpdd6.2
title: Tanybase - Combined and Curated Tanycyte Database

description: Tanycytes are ependymal-like glial cells that play a crucial role in regulating the neuroendocrine system, metabolism, and glucose homeostasis. Tanycytes lie in the wall of the third ventricle and coordinate various functions. Traditionally, tanycytes were classified into four subtypes based on their position in the ventricular wall: alpha 1, alpha 2, beta 1 and beta 2 tanycytes. Recent scRNA-seq studies have investigated the role of tanycytes at the transcriptome level, but they fall short due to the limited number of tanycytic cells in the datasets. To address this shortcoming, two prominent databases, Tany-seq and Hypomap, were compiled by combining several hypothalamus and tanycyte scRNA-seq studies on this topic. Even after these noble works, however, the number of tanycytes for each subtype and condition was still limited. To eliminate this pitfall and help future researchers in their quest to identify the role of tanycytes to a greater extent, we combined these two databases into a single mouse tanycyte-specific database called tanybase. Tanybase has a total of 20,610 cells from 4 tanycytic subtypes, 5 different diets and 3 different ages. 

In short, Tanybase was formed by combining two scRNAseq databases of mouse tanycytes, Hypomap and Tany-seq. Hypomap and Tany-seq databases were combined using shared parameters, including diet, age, tanycyte subclusters, original identity and dataset. Unique cells in each database were combined, and cells with more than 15% mitochondrial transcripts, a total RNA count below 600, and fewer than 200 unique features were removed. We included only cells that were labelled as tanycyte according to the Allen Institute MapMyCells software (RRID:SCR_024672). For integration, Tanybase was split into different layers for each dataset containing more than 100 cells and datasets that have less than 100 cells were combined (‘others’). Tanybase was scaled, normalized and variable features were determined using Seurat functions. Principle-component analysis was performed as well as integration for batch correction using canonical correlation analysis. After the integration, layers were re-joined. For dimensionality reduction, we performed UMAP clustering with FindClusters and FindNeighbors functions. Labels were transferred from corresponding databases; unlabelled cells were labelled using module scores and the markers provided in Tany-seq. For Tanybase, we used Seurat (v.5.2.0), AnnData, Matrix packages.
DOI: 10.17632/gxmrp4gfkc
title: BERT-VIndLok Indian Loksabha Dataset

description: This dataset is created using Indian Loksabha data associated with Loksabaha 17 (2019-2024). Session I data with 6200 files having maximum of six questions per file with corresponding answers is considered for the dataset. Various ministries for which the questsions are raised included in the dataset. The attributes in the dataset are Loksabaha , Session, Ministry, Context,Question, Answer, Answer Start
DOI: 10.17632/gxmrp4gfkc.1
title: BERT-VIndLok Indian Loksabha Dataset

description: This dataset is created using Indian Loksabha data associated with Loksabaha 17 (2019-2024). Session I data with 6200 files having maximum of six questions per file with corresponding answers is considered for the dataset. Various ministries for which the questsions are raised included in the dataset. The attributes in the dataset are Loksabaha , Session, Ministry, Context,Question, Answer, Answer Start
DOI: 10.17632/z8f89t36rh
title: Fine-tuning Dataset Post-OCR Parsing

description: Dataset yang digunakan untuk fine-tuning dalam skripsi berjudul PERBANDINGAN PENGGUNAAN LARGE MODEL DALAM POST-OCR PARSING TAGIHAN
DOI: 10.17632/z8f89t36rh.3
title: Fine-tuning Dataset Post-OCR Parsing

description: Dataset yang digunakan untuk fine-tuning dalam skripsi berjudul PERBANDINGAN PENGGUNAAN LARGE MODEL DALAM POST-OCR PARSING TAGIHAN
DOI: 10.17632/x5hm2zp74m
title: nantong mircoplastics

description: This database includes microplastic samples collected using the beaker method and leaf method for different seasons of summer and autumn in 2023-2024, covering 3 functional areas and 9 sampling points. The characteristics of microplastics include color, size, shape, and settling flux.
This database analyzed the spatiotemporal distribution of atmospheric microplastics and precipitation-driven transport mechanisms in Nantong, China, revealing migration patterns in urban ecosystems. Key results: 1) Significant spatial differences existed: urban residential areas had the highest beaker-based deposition flux, industrial chemical parks the highest leaf deposition flux, both lower in green spaces. Variations reflected human activity intensity, microplastic properties, and vegetative retention. 2) Precipitation intensity governed seasonal flux fluctuations via flushing efficiency and particle resuspension. 3) Leaves retained fibrous microplastics more effectively than beakers, with surface microstructures (trichomes, cuticular wax) and electrostatic adsorption as key mechanisms. Leaves held 2.7-fold more large particles (&gt;100 μm), while beakers favored smaller suspended particles, showing size sorting in passive sampling. The study illuminates atmospheric microplastic dynamics in urban areas, underscoring functional zones and seasons in their distribution.
DOI: 10.17632/x5hm2zp74m.1
title: nantong mircoplastics

description: This database includes microplastic samples collected using the beaker method and leaf method for different seasons of summer and autumn in 2023-2024, covering 3 functional areas and 9 sampling points. The characteristics of microplastics include color, size, shape, and settling flux.
This database analyzed the spatiotemporal distribution of atmospheric microplastics and precipitation-driven transport mechanisms in Nantong, China, revealing migration patterns in urban ecosystems. Key results: 1) Significant spatial differences existed: urban residential areas had the highest beaker-based deposition flux, industrial chemical parks the highest leaf deposition flux, both lower in green spaces. Variations reflected human activity intensity, microplastic properties, and vegetative retention. 2) Precipitation intensity governed seasonal flux fluctuations via flushing efficiency and particle resuspension. 3) Leaves retained fibrous microplastics more effectively than beakers, with surface microstructures (trichomes, cuticular wax) and electrostatic adsorption as key mechanisms. Leaves held 2.7-fold more large particles (&gt;100 μm), while beakers favored smaller suspended particles, showing size sorting in passive sampling. The study illuminates atmospheric microplastic dynamics in urban areas, underscoring functional zones and seasons in their distribution.
DOI: 10.17632/fcf77htn8m
title: LINF_190005100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.17632/fcf77htn8m.2
title: LINF_190005100

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)