cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/khdg28v5d7.1
title: BD RiceSeed: A Multi-Class Image Dataset of Bangladeshi Rice Seed Varieties for Classification Tasks

description: The dataset was curated from rice seed samples collected across agricultural zones in Bangladesh and features eight distinct rice seed types. The dataset comprises high-resolution seed images categorized into eight varieties: 25, 28, 29, 89, 100, Chinigura, Kata Irri, and Kata Irri Vog. Each category contains 400 original images, each captured at a resolution of 1920 × 1080 pixels.

To enhance the dataset quality and ensure consistency, background removal preprocessing was performed on the original images, resulting in a refined set of seed images optimized for better feature extraction. This preprocessed dataset is stored separately under the "BGRemoved_Image" directory.

In order to mitigate class imbalance and strengthen model performance through diverse visual perspectives, data augmentation techniques were applied. These techniques produced 1,000 synthetic images per class, resulting in a balanced and enriched dataset totaling 8,000 images in the "Augmented_Image" directory.

The dataset is organized into three primary directories:

1) Rice_Image: Contains the original, unaltered images of eight rice seed varieties.
2) BGRemoved_Image: Includes preprocessed images with background removed to improve feature clarity.
3) Augmented_Image: Holds the balanced dataset created via augmentation, used for training and evaluation purposes.

This rice seed classification dataset provides a valuable resource for researchers in the fields of agricultural informatics, machine vision, and deep learning-based crop seed classification. It supports the advancement of AI-driven agricultural technologies for seed identification, classification, and quality assurance.
DOI: 10.17632/b2c94dwxr3
title: Replication Package: Electricity price hikes raise firewood consumption and women's collection time in Malawi

description: Replication package
DOI: 10.17632/b2c94dwxr3.1
title: Replication Package: Electricity price hikes raise firewood consumption and women's collection time in Malawi

description: Replication package
DOI: 10.15468/dl.8fx6h5
title: Occurrence Download

description: A dataset containing 46 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tara spinosa (Molina) Britton & Rose",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 46 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049683-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/s7w7xtryvv
title: CAMWA-D-25-00036R1

description: A novel Chebyshev Finite Element apporach for bending and free vibration analysis of tridirectional functionally graded porous nanoshell
DOI: 10.17632/s7w7xtryvv.1
title: CAMWA-D-25-00036R1

description: A novel Chebyshev Finite Element apporach for bending and free vibration analysis of tridirectional functionally graded porous nanoshell
DOI: 10.17632/8r943dc6bm
title: App users activity summary

description: Data collected forom app users activity as presented in the IJGI paper: Participatory assessment of cultural landscape ecosystem services: A basis for sustainable place-based branding in coastal territories
DOI: 10.17632/8r943dc6bm.1
title: App users activity summary

description: Data collected forom app users activity as presented in the IJGI paper: Participatory assessment of cultural landscape ecosystem services: A basis for sustainable place-based branding in coastal territories
DOI: 10.17632/dpm7bv7hck
title: Blue Finance: Challenges, Opportunities, and Holistic Policy Framework

description: This dataset is supplementary data to the manuscript entitled "Blue Finance: Challenges, Opportunities, and Holistic Policy Framework". This dataset contains a list of final included studies and quality assessment results using the 10-questions Critical Appraisal Skills Program (CASP) basis.
DOI: 10.17632/dpm7bv7hck.1
title: Blue Finance: Challenges, Opportunities, and Holistic Policy Framework

description: This dataset is supplementary data to the manuscript entitled "Blue Finance: Challenges, Opportunities, and Holistic Policy Framework". This dataset contains a list of final included studies and quality assessment results using the 10-questions Critical Appraisal Skills Program (CASP) basis.
DOI: 10.17632/hbr34wzz65.2
title: Liberalisation, concentration and diversification: Business Groups in India, 2000-2020- Data Resources

description: We analyse the evolution of market structure in India between 2000 and 2020 using a rich dataset at high levels of disaggregation. We examine the extent to which business groups – notably family-owned groups – have sustained their dominant market positions in the Indian economy. We focus on two key dimensions. The first is the extent of concentration in markets and market shares by industry. The second concerns the dynamics and the extent to which business groups have focussed on consolidating their position in specific, narrow sectors or diversified by entering new sectors. We find that while market concentration has been falling, a bloc of high concentration sectors remains. Further, diversification has been actively pursued across sectors by most business groups. While this points to greater competition among business groups, the ratio of revenues to variable costs – a measure of the markup – has shifted upwards, particularly after 2013. The weight and persistence of these large business groups in the economy, as measured by the ratio of their revenues to GDP, has also increased. Finally, we discuss possible policy options. 

This dataset provides data for Figures and the STATA .do file for the replication of the replication of figures and tables. Due to restrictions on sharing the data by the data service provider "CMIE Prowessdx", the authors are not at liberty to share the dataset for the analysis.
DOI: 10.17632/5nnpxmd9pm
title: Detection of Carbamates pesticides and their metabolites in camel milk using UPLC-MS/MS

description: supplementary Tables (1S-4S) and Figures1S and 2S
DOI: 10.17632/5nnpxmd9pm.1
title: Detection of Carbamates pesticides and their metabolites in camel milk using UPLC-MS/MS

description: supplementary Tables (1S-4S) and Figures1S and 2S
DOI: 10.17632/3jt4k735zf
title: LINF_180020400

description: DnaJ domain-containing protein | JDP13 | J13; Leishmania infantum (strain JPCM5)
DOI: 10.17632/3jt4k735zf.2
title: LINF_180020400

description: DnaJ domain-containing protein | JDP13 | J13; Leishmania infantum (strain JPCM5)
DOI: 10.17632/sstg54hjs8
title: LINF_180020600

description: P-type H+-ATPase | H1A-1; Leishmania infantum (strain JPCM5)
DOI: 10.17632/sstg54hjs8.2
title: LINF_180020600

description: P-type H+-ATPase | H1A-1; Leishmania infantum (strain JPCM5)
DOI: 10.17632/rrssw345dv
title: Data and code for "Molecular screening and dose-response assays provide insights into pyrethroid resistance in four agriculturally important aphid species"

description: This dataset comprises data and code associated with the publication Leybourne et al., 2025. "Molecular screening and dose-response assays provide insights into pyrethroid resistance in four agriculturally important aphid species". Crop Protection (https://doi.org/10.1016/j.cropro.2025.107315).

Files include: dose-response data for two cereal aphid species, Metapolophium dirhodum and Rhopalosiphum padi, when exposed to various concentrations of pyrethroid (Hallmark Zeon, lambda cyhalothrin); sampling information for all M. dirhodum and R. padi populations; presence of knockdown resistance in the grain aphid (Sitobion avenae) and sampling location for all S. avenae populations; presence of super-knockdown resistance in the peach-potato aphid (Myzus persicae), allelic scoring for M. persicae following genotyping at five microsatellite loci, and sampling location for all M. persicae populations. Summary data on resistance prevalence per region are also provided for M. persicae and S. avenae, alongside summary datasets from dose-response analysis for M. dirhodum and R. padi
DOI: 10.17632/rrssw345dv.1
title: Data and code for "Molecular screening and dose-response assays provide insights into pyrethroid resistance in four agriculturally important aphid species"

description: This dataset comprises data and code associated with the publication Leybourne et al., 2025. "Molecular screening and dose-response assays provide insights into pyrethroid resistance in four agriculturally important aphid species". Crop Protection (https://doi.org/10.1016/j.cropro.2025.107315).

Files include: dose-response data for two cereal aphid species, Metapolophium dirhodum and Rhopalosiphum padi, when exposed to various concentrations of pyrethroid (Hallmark Zeon, lambda cyhalothrin); sampling information for all M. dirhodum and R. padi populations; presence of knockdown resistance in the grain aphid (Sitobion avenae) and sampling location for all S. avenae populations; presence of super-knockdown resistance in the peach-potato aphid (Myzus persicae), allelic scoring for M. persicae following genotyping at five microsatellite loci, and sampling location for all M. persicae populations. Summary data on resistance prevalence per region are also provided for M. persicae and S. avenae, alongside summary datasets from dose-response analysis for M. dirhodum and R. padi
DOI: 10.17632/zc634ckftr
title: LINF_180022200

description: DnaJ domain-containing protein | JDP42 | J42; Leishmania infantum (strain JPCM5)
DOI: 10.17632/zc634ckftr.2
title: LINF_180022200

description: DnaJ domain-containing protein | JDP42 | J42; Leishmania infantum (strain JPCM5)
DOI: 10.17632/c6f3wmch3f
title: Data Grisella et.al

description: Data olahan Gladys Grisella
DOI: 10.17632/c6f3wmch3f.1
title: Data Grisella et.al

description: Data olahan Gladys Grisella
DOI: 10.17632/8fwwjpm79y.10
title: ShinyFMBN, a Shiny app to access FoodMicrobionet

description: This data set contains the ShinyFMBN app and the FoodMicrobionet database v5.1.1
The ShinyFMBN app allows you to access FoodMicrobionet 5, a repository of data on food microbiome studies including data for both bacteria and fungi. To run the app you need to install R and R Studio. Data are available in R (.rds) format. The FoodMicrobionet database and related scripts are available on GitHub (https://github.com/ep142/FoodMicrobionet)

This compressed folder contains folder shiny_FMBN_3_1: contains the app folder, the runShinyFMBN_3.R script (a R script to install all needed packages and run the app) and the app manual in .html format
DOI: 10.17632/zb32cg2h6f
title: CAMWA-D-25-00036R1

description: Code nanoshells
DOI: 10.17632/zb32cg2h6f.1
title: CAMWA-D-25-00036R1

description: Code nanoshells
DOI: 10.15468/dl.2eczw5
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Thespesia populnea (L.) Sol. ex Corrêa",
 "Country is Chile",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 2000"
 ]
}

 The dataset includes 13 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049684-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/7dtscd93v6
title: DATABASE MANAGEMENT PLAN FOR MEDICAL DIAGNOSTICS

description: Common Tests vs. Uncommon Tests

Common Tests:
1) Routine Blood Work; Complete Blood Count (CBC), blood chemistry tests (e.g., glucose, cholesterol).
2) Urinalysis: Testing urine for signs of disease or infection.
3) Imaging Tests: X-rays, CT scans, MRI scans.

Uncommon Tests:
1) Specialized Genetic Tests: Next-generation sequencing, genetic mutation analysis.
2. Advanced Imaging Tests: PET scans, functional MRI (fMRI).
3) Complex Biomarker Tests: Tests for specific biomarkers, such as certain proteins or hormones.

Key Differences:
*Frequency of Use: Common tests are frequently used in clinical practice, while uncommon tests are used less frequently or in specialized situations.
*Complexity: Uncommon tests often require specialized equipment, expertise, or analysis.
*Specificity: Uncommon tests may be more specific to certain conditions or populations.

When Uncommon Tests Are Used:
i) Complex Diagnoses: Uncommon tests may be used to diagnose rare or complex conditions.
ii) Research Studies: Uncommon tests may be used in research studies to investigate new biomarkers or disease mechanisms.
iii) Personalized Medicine: Uncommon tests may be used to tailor treatment to individual patients based on their unique genetic or biomarker profiles.
DOI: 10.17632/7dtscd93v6.2
title: DATABASE MANAGEMENT PLAN FOR MEDICAL DIAGNOSTICS

description: Common Tests vs. Uncommon Tests

Common Tests:
1) Routine Blood Work; Complete Blood Count (CBC), blood chemistry tests (e.g., glucose, cholesterol).
2) Urinalysis: Testing urine for signs of disease or infection.
3) Imaging Tests: X-rays, CT scans, MRI scans.

Uncommon Tests:
1) Specialized Genetic Tests: Next-generation sequencing, genetic mutation analysis.
2. Advanced Imaging Tests: PET scans, functional MRI (fMRI).
3) Complex Biomarker Tests: Tests for specific biomarkers, such as certain proteins or hormones.

Key Differences:
*Frequency of Use: Common tests are frequently used in clinical practice, while uncommon tests are used less frequently or in specialized situations.
*Complexity: Uncommon tests often require specialized equipment, expertise, or analysis.
*Specificity: Uncommon tests may be more specific to certain conditions or populations.

When Uncommon Tests Are Used:
i) Complex Diagnoses: Uncommon tests may be used to diagnose rare or complex conditions.
ii) Research Studies: Uncommon tests may be used in research studies to investigate new biomarkers or disease mechanisms.
iii) Personalized Medicine: Uncommon tests may be used to tailor treatment to individual patients based on their unique genetic or biomarker profiles.
DOI: 10.17632/jy6kdp7dmk.1
title: Technologically Εnhanced Toys’ Interactive Multimodality in Pretend Play: A Systematic review

description: This database is linked to the following academic article: " Technologically Εnhanced Toys’ Interactive Multimodality in Pretend Play: A Systematic review". It includes the categorisation of 1736 entries, 1613 after removing duplicates and whole conference volumes. They studies were retrieved from the academic data bases ACM Digital Library, IEEE Xplore Digital Library, Web of Science – WoS and Scopus and were initially categorized based on titles and abstracts in terms of: 
1. Entry not connected to outcomes of interests 
2. Entry is not studying typically developing children 
3. Entry is not an empirical study but a review or meta-analysis 
4. Entry is not a journal or a conference paper but a book
5. Entry is a proceeding's volume 
The remaining subset of 80 pre-selected entries were categorized based on full text screening:
6. Entry which not connected to outcomes of interests and is eventually focusing in a particular activity or academic subject 
7. Entry is not specifying childrens age (3-6 years old) 
8. Entry is not studying typically developing children
9. Entry is not providing enough info about study
10. Entry is not peer reviewed
11. Entry not a physical toy
12. Entry is not in English
13. Entry is a character toy/ companion toy/ digital friend but doesn't refer at pretend play and imaginary enactments
DOI: 10.17632/5f8wmdkrph
title: Dataset for thematic analysis of color design in hospitals

description: Based on the research presented in the article "Research trends and status of color design in hospitals: A thematic analysis," the study explores the application of color design in hospital environments through both quantitative and qualitative analyses. The research hypothesis implicitly revolves around understanding the current trends, status, and impact of color design on hospital environments and patient rehabilitation experiences.
The quantitative results reveal several notable findings. Firstly, the word cloud analysis indicates that terms such as "art," "design," "color," "treatment," "patient," "pain," "research," and "hospital" are frequently mentioned, highlighting the core focus areas of the research. The publication trend shows a peak in 2023 with 7 publications, indicating significant research interest in that year, though it declined to 2 in 2025. Regionally, research is more prominent in Europe (especially the UK and Canada) and Asia (particularly China), suggesting that these regions are more active in exploring the application of color design in healthcare environments.
Notably, the thematic analysis identifies five core themes: Art Therapy Applications, Color and Light Effects, Pediatric Environmental Design, Integration of Cultural Traditions, and Spatial Design and Multisensory Interventions. These themes reflect the multidisciplinary nature of color design in hospitals and its potential impact on both psychological and physiological aspects of patient recovery. For instance, the theme of Color and Light Effects shows that colors can trigger physiological responses such as regulating blood pressure and influencing brainwave patterns, while Pediatric Environmental Design highlights the importance of using child-friendly colors to reduce anxiety and create a more welcoming environment for young patients.
The data description also indicates that the majority of authors focus on specific themes, such as "Color and Light Effects," while some integrate multiple themes, demonstrating the diversity and innovation in this research field. Additionally, the study finds that research on the application of color design in hospitals is more evenly distributed across various journals, suggesting that the field is still developing and lacks a centralized focus.
Overall, the research provides valuable insights into the current status and trends of color design in hospital environments, highlighting its potential to enhance patient experiences and recovery processes. Future research should further explore the specific needs of different user groups and the integration of cultural elements into hospital color design to develop more effective and inclusive healthcare spaces.
DOI: 10.17632/5f8wmdkrph.1
title: Dataset for thematic analysis of color design in hospitals

description: Based on the research presented in the article "Research trends and status of color design in hospitals: A thematic analysis," the study explores the application of color design in hospital environments through both quantitative and qualitative analyses. The research hypothesis implicitly revolves around understanding the current trends, status, and impact of color design on hospital environments and patient rehabilitation experiences.
The quantitative results reveal several notable findings. Firstly, the word cloud analysis indicates that terms such as "art," "design," "color," "treatment," "patient," "pain," "research," and "hospital" are frequently mentioned, highlighting the core focus areas of the research. The publication trend shows a peak in 2023 with 7 publications, indicating significant research interest in that year, though it declined to 2 in 2025. Regionally, research is more prominent in Europe (especially the UK and Canada) and Asia (particularly China), suggesting that these regions are more active in exploring the application of color design in healthcare environments.
Notably, the thematic analysis identifies five core themes: Art Therapy Applications, Color and Light Effects, Pediatric Environmental Design, Integration of Cultural Traditions, and Spatial Design and Multisensory Interventions. These themes reflect the multidisciplinary nature of color design in hospitals and its potential impact on both psychological and physiological aspects of patient recovery. For instance, the theme of Color and Light Effects shows that colors can trigger physiological responses such as regulating blood pressure and influencing brainwave patterns, while Pediatric Environmental Design highlights the importance of using child-friendly colors to reduce anxiety and create a more welcoming environment for young patients.
The data description also indicates that the majority of authors focus on specific themes, such as "Color and Light Effects," while some integrate multiple themes, demonstrating the diversity and innovation in this research field. Additionally, the study finds that research on the application of color design in hospitals is more evenly distributed across various journals, suggesting that the field is still developing and lacks a centralized focus.
Overall, the research provides valuable insights into the current status and trends of color design in hospital environments, highlighting its potential to enhance patient experiences and recovery processes. Future research should further explore the specific needs of different user groups and the integration of cultural elements into hospital color design to develop more effective and inclusive healthcare spaces.
DOI: 10.7910/dvn/7uzogc
title: Příloha č. 2 – seznam analyzovaných nálezů a navazujících rozhodnutí

description: seznam analyzovaných nálezů a navazujících rozhodnutí