cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/9c775fggys
title: Students Reading Scores_Blooket

description: This dataset supports the findings of the manuscript “The Effectiveness and Challenges of Using Blooket to Enhance Fourth Graders’ Reading Comprehension at an International Primary School in Ho Chi Minh City.” The dataset package includes: (1) an Excel file containing raw reading scores from pre- and post-tests of students in both control and experimental groups, and (2) an SPSS file containing the same test scores structured for statistical analysis.
DOI: 10.17632/9c775fggys.1
title: Students Reading Scores_Blooket

description: This dataset supports the findings of the manuscript “The Effectiveness and Challenges of Using Blooket to Enhance Fourth Graders’ Reading Comprehension at an International Primary School in Ho Chi Minh City.” The dataset package includes: (1) an Excel file containing raw reading scores from pre- and post-tests of students in both control and experimental groups, and (2) an SPSS file containing the same test scores structured for statistical analysis.
DOI: 10.17632/3km9d246z2
title: Bean Health and Disease Dataset: A Resource for Agricultural Research

description: This dataset comprises 3,467 labeled images of bean plants and leaves, categorized into 9 classes, including healthy and diseased beans and leaves. The images were collected from Daffodil International University,Dhaka,Bangladesh and Nimshar,Bangladesh to support agricultural research and advanced machine learning applications.

Purpose:
1.Enable the development of machine learning and image processing models for identifying healthy and diseased bean plants.
2.Support agricultural research by improving disease detection and crop management.
3.Contribute to sustainable farming practices through better monitoring of bean cultivation.
DOI: 10.17632/3km9d246z2.3
title: Bean Health and Disease Dataset: A Resource for Agricultural Research

description: This dataset comprises 3,467 labeled images of bean plants and leaves, categorized into 9 classes, including healthy and diseased beans and leaves. The images were collected from Daffodil International University,Dhaka,Bangladesh and Nimshar,Bangladesh to support agricultural research and advanced machine learning applications.

Purpose:
1.Enable the development of machine learning and image processing models for identifying healthy and diseased bean plants.
2.Support agricultural research by improving disease detection and crop management.
3.Contribute to sustainable farming practices through better monitoring of bean cultivation.
DOI: 10.17632/zrvzpfmzcz
title: RxPairEvid

description: RxPairEvid is a license-clean, machine learning ready dataset of 50,000 drug--drug pairs with pair-level pharmacovigilance context from the FDA Adverse Event Reporting System (FAERS).
DOI: 10.17632/zrvzpfmzcz.1
title: RxPairEvid

description: RxPairEvid is a license-clean, machine learning ready dataset of 50,000 drug--drug pairs with pair-level pharmacovigilance context from the FDA Adverse Event Reporting System (FAERS).
DOI: 10.17632/bw7dvyp38f
title: The Role of Artificial Intelligence in Branding Strategies: An Insight For Sustainable Beauty Entrepreneurship Dataset

description: This study uses a 222 open dataset exported from the Scopus database, containing bibliographic information related to scientific publications. The dataset includes essential metadata such as authors, titles, publication years, source titles, abstracts, keywords, affiliations, citation counts, and document types. Each record also contains a unique Scopus identifier (EID) that allows readers to trace the original publication directly from the Scopus platform. The dataset was collected following Scopus’ standard export format and does not include any confidential, personal, or sensitive information. All data represent publicly accessible metadata about published academic works. No full-text articles are included, and no protected or proprietary content is shared. The dataset is used solely for research and analytical purposes, such as bibliometric analysis, trend identification, and evaluation of research productivity.
DOI: 10.17632/bw7dvyp38f.1
title: The Role of Artificial Intelligence in Branding Strategies: An Insight For Sustainable Beauty Entrepreneurship Dataset

description: This study uses a 222 open dataset exported from the Scopus database, containing bibliographic information related to scientific publications. The dataset includes essential metadata such as authors, titles, publication years, source titles, abstracts, keywords, affiliations, citation counts, and document types. Each record also contains a unique Scopus identifier (EID) that allows readers to trace the original publication directly from the Scopus platform. The dataset was collected following Scopus’ standard export format and does not include any confidential, personal, or sensitive information. All data represent publicly accessible metadata about published academic works. No full-text articles are included, and no protected or proprietary content is shared. The dataset is used solely for research and analytical purposes, such as bibliometric analysis, trend identification, and evaluation of research productivity.
DOI: 10.15468/dl.g4jara
title: Occurrence Download

description: A dataset containing 704 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cystodendron",
 "HasCoordinate is true"
 ]
}

 The dataset includes 704 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0000322-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5khng744kw
title: Incubação de 6-Nitro-Dopamina com fígado de rato - Incubation of 6-Nitro-Dopamine with rat liver - LFR 2025

description: EN

Incubation of rat liver with 6-ND - high-resolution LC-MS acquisition data of the supernatant as a function of time - Large-scale study of 6-ND metabolism. Available are the .mzML files of the LC-MS chromatograms and the batch of the peak processing procedure using the MzMine software, exported by the batch function of the software. The four files correspond to the four time points of the incubation, of 0 minutes (starting point), 5, 20 and 60 minutes. With these data, it is expected that researchers interested in the metabolism of this molecule will be able to replicate what was done in the 2025 FAPESP LFR report and even identify fragments that had not yet been identified at the time of this report. The preliminary and final reports were also uploaded, both in english and portuguese. If you are interested, please contact us at luizfrib@iq.usp.br.

PT

Incubação de fígado de rato com 6-ND - dados de aquisição de LC-MS de alta resolução do sobrenadante em função do tempo - Estudo em larga escala do metabolismo de 6-ND. Estão disponíveis os arquivos .mzML dos cromatogramas de LC-MS e o lote do procedimento de processamento de pico usando o software MzMine, exportado pela função de lote do software. Os quatro arquivos correspondem aos quatro pontos de tempo da incubação, de 0 minutos (ponto inicial), 5, 20 e 60 minutos. Com esses dados, espera-se que pesquisadores interessados no metabolismo dessa molécula consigam replicar o que foi feito no relatório FAPESP LFR de 2025 e até mesmo identificar fragmentos que ainda não haviam sido identificados no momento deste relatório. Os relatórios parciais e finais também foram acrescentados, tanto em inglês como em português. Caso tenha interesse, entre em contato conosco pelo e-mail luizfrib@iq.usp.br.
DOI: 10.5281/zenodo.17650452
title: Dataset for Djordjevic, Behr, & Poirier, A primary quantum current standard based on the Josephson and the quantum Hall effects. Nat Commun 16, 1447 (2025)

description: Data used to produce the figures in Djordjevic, Behr, & Poirier, A primary quantum current standard based on the Josephson and the quantum Hall effects. Nat Commun 16, 1447 (2025). https://doi.org/10.1038/s41467-025-56413-9
DOI: 10.5281/zenodo.17650451
title: Dataset for Djordjevic, Behr, & Poirier, A primary quantum current standard based on the Josephson and the quantum Hall effects. Nat Commun 16, 1447 (2025)

description: Data used to produce the figures in Djordjevic, Behr, & Poirier, A primary quantum current standard based on the Josephson and the quantum Hall effects. Nat Commun 16, 1447 (2025). https://doi.org/10.1038/s41467-025-56413-9
DOI: 10.5281/zenodo.17660756
title: Supplementary datasets for Glacier-specific controls on enhanced trace metal mobility across global mountain and polar meltwaters
DOI: 10.5281/zenodo.17660757
title: Supplementary datasets for Glacier-specific controls on enhanced trace metal mobility across global mountain and polar meltwaters
DOI: 10.17632/5khng744kw.1
title: Incubação de 6-Nitro-Dopamina com fígado de rato - Incubation of 6-Nitro-Dopamine with rat liver - LFR 2025

description: EN

Incubation of rat liver with 6-ND - high-resolution LC-MS acquisition data of the supernatant as a function of time - Large-scale study of 6-ND metabolism. Available are the .mzML files of the LC-MS chromatograms and the batch of the peak processing procedure using the MzMine software, exported by the batch function of the software. The four files correspond to the four time points of the incubation, of 0 minutes (starting point), 5, 20 and 60 minutes. With these data, it is expected that researchers interested in the metabolism of this molecule will be able to replicate what was done in the 2025 FAPESP LFR report and even identify fragments that had not yet been identified at the time of this report. The preliminary and final reports were also uploaded, both in english and portuguese. If you are interested, please contact us at luizfrib@iq.usp.br.

PT

Incubação de fígado de rato com 6-ND - dados de aquisição de LC-MS de alta resolução do sobrenadante em função do tempo - Estudo em larga escala do metabolismo de 6-ND. Estão disponíveis os arquivos .mzML dos cromatogramas de LC-MS e o lote do procedimento de processamento de pico usando o software MzMine, exportado pela função de lote do software. Os quatro arquivos correspondem aos quatro pontos de tempo da incubação, de 0 minutos (ponto inicial), 5, 20 e 60 minutos. Com esses dados, espera-se que pesquisadores interessados no metabolismo dessa molécula consigam replicar o que foi feito no relatório FAPESP LFR de 2025 e até mesmo identificar fragmentos que ainda não haviam sido identificados no momento deste relatório. Os relatórios parciais e finais também foram acrescentados, tanto em inglês como em português. Caso tenha interesse, entre em contato conosco pelo e-mail luizfrib@iq.usp.br.
DOI: 10.17632/k65v3vxwhb.1
title: Domain-specific Topic Modeling Configurations for Explainable Document-level Translation Evaluation
DOI: 10.5281/zenodo.17595678
title: Data for paper "Spectrum measurement of quantum channels and application to Hamiltonian parameter estimation"

description: Data for paper "Spectrum measurement of quantum channels and application to Hamiltonian parameter estimation"

Including:

data for Figure 2
DOI: 10.5281/zenodo.17595679
title: Data for paper "Spectrum measurement of quantum channels and application to Hamiltonian parameter estimation"

description: Data for paper "Spectrum measurement of quantum channels and application to Hamiltonian parameter estimation"

Including:

data for Figure 2
DOI: 10.17632/gxhmv8y4sb
title: Cuttag

description: OE：FOXP1-OE HCT116 Cuttag
Vector：Vector HCT116 Cuttag
DOI: 10.17632/gxhmv8y4sb.1
title: Cuttag

description: OE：FOXP1-OE HCT116 Cuttag
Vector：Vector HCT116 Cuttag
DOI: 10.17632/457x9c7rp3
title: Fossil diatom microscopy image datasets and annotations for object detection

description: This dataset primarily consists of scanned images of permanent slides prepared from surface sediments collected across the Southern Ocean for fossil diatom observation. The sampling sites comprise eighteen locations and encompass a wide range of geomorphological settings and depositional systems, making this dataset well-suited for evaluating the performance of object detection models targeting fossil diatoms, as well as for investigating the biogeography of fossil diatoms in paleoenvironmental reconstruction. The dataset is divided into virtual slides, tile images, annotations, and trained models. The virtual slides are high-resolution images obtained by photographing the permanent slides and are provided in NDPI format (the original format of Hamamatsu Photonics K.K.). Each tile image is a JPEG format extracted from the virtual slides, covering a field of view of 552 × 552 μm. YOLO annotations are provided for each tile image and its corresponding folder. These tile images and annotations are specifically designed for detecting Eucampia antarctica (Castracane) Mangin, a diatom species endemic to the Southern Ocean, and are suitable for use as training and testing data in object detection models. The object detection models (YOLOv5x, Ultralytics) trained on a subset of these data are stored under “Trained models.” Note that this dataset includes only selected regions from the areas where tile images were originally captured, due to the storage limitations of the data repository.
DOI: 10.17632/457x9c7rp3.3
title: Fossil diatom microscopy image datasets and annotations for object detection

description: This dataset primarily consists of scanned images of permanent slides prepared from surface sediments collected across the Southern Ocean for fossil diatom observation. The sampling sites comprise eighteen locations and encompass a wide range of geomorphological settings and depositional systems, making this dataset well-suited for evaluating the performance of object detection models targeting fossil diatoms, as well as for investigating the biogeography of fossil diatoms in paleoenvironmental reconstruction. The dataset is divided into virtual slides, tile images, annotations, and trained models. The virtual slides are high-resolution images obtained by photographing the permanent slides and are provided in NDPI format (the original format of Hamamatsu Photonics K.K.). Each tile image is a JPEG format extracted from the virtual slides, covering a field of view of 552 × 552 μm. YOLO annotations are provided for each tile image and its corresponding folder. These tile images and annotations are specifically designed for detecting Eucampia antarctica (Castracane) Mangin, a diatom species endemic to the Southern Ocean, and are suitable for use as training and testing data in object detection models. The object detection models (YOLOv5x, Ultralytics) trained on a subset of these data are stored under “Trained models.” Note that this dataset includes only selected regions from the areas where tile images were originally captured, due to the storage limitations of the data repository.
DOI: 10.17632/rjt67yjzx6
title: FUSCC_scRNA_normalized_data

description: A total of 13 patients with stage IV BRAFV600E CRC were included, yielding 19 samples for scRNA sequencing, comprising 10 primary CRC tumors, 5 matched adjacent normal tissues, 2 liver metastases, 1 ovarian metastasis, and 1 peritoneal metastasis.
DOI: 10.17632/rjt67yjzx6.1
title: FUSCC_scRNA_normalized_data

description: A total of 13 patients with stage IV BRAFV600E CRC were included, yielding 19 samples for scRNA sequencing, comprising 10 primary CRC tumors, 5 matched adjacent normal tissues, 2 liver metastases, 1 ovarian metastasis, and 1 peritoneal metastasis.
DOI: 10.17632/j6krmr75xd.1
title: Automated Identification of Left Ventricular Hypertrophy using Cardiac Ultrasound imaging: A Systematic Review of Artificial Intelligence Driven Approaches

description: Left ventricular hypertrophy, LVH is an abnormal condition of the heart, with increased thick heart walls and mass. This is considered to be one of the primary causes of cardiovascular mortality across the globe. There are many causes that leads to LVH and can be diagnosed using multiple imaging modalities, with expert support. This systematic review focus on examining the related studies towards automated identification of diseases characterized by LVH using heart ultra sound images. The focus is primarily on diseases such as hypertrophic cardiomyopathy, HCM, hypertension, HTN and chronic kidney disease, CKD, for which the echocardiograms looks similar. Thereby the study highlights the need for CAD tools, that detect these diseases, using the echocardiograms. A detailed description on search strategies, inclusion, exclusion criteria, methods from the literature, results and discussions on limitations, future direction etc. are performed in the study.
DOI: 10.17632/4494r54ddp
title: Combined applications of organic bran Fertilizer, biochar and microbial inoculants control tobacco soil-borne diseases by recruiting beneficial rhizosphere microbes and enhancing soil quality

description: This dataset supports the research article titled "Combined Applications of Organic Bran Fertilizer, Biochar, and Microbial Inoculants Control Tobacco Soil-Borne Diseases by Recruiting Beneficial Rhizosphere Microbes and Enhancing Soil Quality". It systematically compiles multi-dimensional experimental data related to tobacco soil-borne disease management, including the following core components:

1. Soil-borne disease occurrence data: Statistics on incidence rate, disease index, and control efficacy of tobacco Ralstonia solanacearum (bacterial wilt), Phytophthora nicotianae (black shank), and root rot at seedling, rosette, and maturity stages, covering different amendment combination treatments and control groups;

2. Microbial community data: Raw and analyzed high-throughput sequencing data of rhizosphere microbes, including taxonomic annotation tables, species abundance matrices, and α/β diversity indices (e.g., Shannon, Simpson, and PCoA results) for Operational Taxonomic Units (OTUs) and Amplicon Sequence Variants (ASVs), as well as relative abundance data of key beneficial microbes (e.g., Bacillus, Pseudomonas, Trichoderma);

3. Functional prediction and pathway analysis data: KEGG pathway annotation results based on OTU/ASV data, including KEGG Orthology (KO) classification of functional genes, metabolic pathway enrichment analysis data (e.g., carbon metabolism, nitrogen metabolism, and disease defense-related pathways), and predicted abundances of microbial functional groups;

4. Soil enzyme activity data: Determined values of soil enzyme activities related to soil nutrient transformation and disease control (e.g., urease, sucrase, catalase, polyphenol oxidase, phosphatase), including dynamic monitoring data before and after amendment application;

5. Structural Equation Model (SEM) data: Raw variable data required for SEM construction (including disease severity, microbial community diversity, soil physicochemical properties, enzyme activities, and amendment application parameters), model fitting indices (e.g., χ²/df, RMSEA, GFI), and output results such as path coefficients and variance explanation rates.

All data were derived from field and pot experiments with three biological replicates, and their reliability was verified through statistical tests including one-way ANOVA and correlation analysis. This dataset provides comprehensive data support for deciphering the microbial mechanisms and soil ecological effects of combined amendment application in controlling tobacco soil-borne diseases.
DOI: 10.17632/4494r54ddp.1
title: Combined applications of organic bran Fertilizer, biochar and microbial inoculants control tobacco soil-borne diseases by recruiting beneficial rhizosphere microbes and enhancing soil quality

description: This dataset supports the research article titled "Combined Applications of Organic Bran Fertilizer, Biochar, and Microbial Inoculants Control Tobacco Soil-Borne Diseases by Recruiting Beneficial Rhizosphere Microbes and Enhancing Soil Quality". It systematically compiles multi-dimensional experimental data related to tobacco soil-borne disease management, including the following core components:

1. Soil-borne disease occurrence data: Statistics on incidence rate, disease index, and control efficacy of tobacco Ralstonia solanacearum (bacterial wilt), Phytophthora nicotianae (black shank), and root rot at seedling, rosette, and maturity stages, covering different amendment combination treatments and control groups;

2. Microbial community data: Raw and analyzed high-throughput sequencing data of rhizosphere microbes, including taxonomic annotation tables, species abundance matrices, and α/β diversity indices (e.g., Shannon, Simpson, and PCoA results) for Operational Taxonomic Units (OTUs) and Amplicon Sequence Variants (ASVs), as well as relative abundance data of key beneficial microbes (e.g., Bacillus, Pseudomonas, Trichoderma);

3. Functional prediction and pathway analysis data: KEGG pathway annotation results based on OTU/ASV data, including KEGG Orthology (KO) classification of functional genes, metabolic pathway enrichment analysis data (e.g., carbon metabolism, nitrogen metabolism, and disease defense-related pathways), and predicted abundances of microbial functional groups;

4. Soil enzyme activity data: Determined values of soil enzyme activities related to soil nutrient transformation and disease control (e.g., urease, sucrase, catalase, polyphenol oxidase, phosphatase), including dynamic monitoring data before and after amendment application;

5. Structural Equation Model (SEM) data: Raw variable data required for SEM construction (including disease severity, microbial community diversity, soil physicochemical properties, enzyme activities, and amendment application parameters), model fitting indices (e.g., χ²/df, RMSEA, GFI), and output results such as path coefficients and variance explanation rates.

All data were derived from field and pot experiments with three biological replicates, and their reliability was verified through statistical tests including one-way ANOVA and correlation analysis. This dataset provides comprehensive data support for deciphering the microbial mechanisms and soil ecological effects of combined amendment application in controlling tobacco soil-borne diseases.
DOI: 10.17632/84395nrz42
title: GSK3β/HIF-1α signaling-dependent anti-parasite effect of Cynanchi atrati Radix

description: Recently, many medicinal plants or their bioactive compounds have been evaluated in vitro and in vivo for their ability as novel drug candidates in the parasite control. 4’-Hydroxyacetophenone (4’HAP), a key compound in Cynanchi atrati Radix (C. atrati), has an anti-virus function and some anti-inflammatory effects. Nevertheless, the bioactivity of 4’’HAP remains to be identified in parasite prevention. Herein, we investigated whether 4’HAP has a pharmacological effect on the growth of Toxoplasma gondii (T. gondii) in ARPE-19 cells. We demonstrate that C. atrati exhibits significant suppression effect on T. gondii growth with minimal cytotoxicity in host cells. Screening of C. atrati constituents identified 4’HAP as an inhibitory compound capable of effectively restraining T. gondii proliferation. Mechanistic analyses revealed that both C. atrati and 4’HAP weaken T. gondii growth by destabilizing Hypoxia-Inducible Factor 1-alpha (HIF-1α), which is mediated via activation of Glycogen Synthase Kinase 3 beta (GSK3β). Pharmacological inhibition of GSK3β restored T. gondii proliferation, while depletion of HIF-1α further suppressed parasite survival, underscoring the importance of the GSK3β/HIF-1α axis in the observed anti-parasite effects. In all, we provide evidence that C. atrati and 4’HAP are promising anti-parasitic agents against T. gondii. Our findings provide a foundation for developing innovative strategies to combat T. gondii infection and address current gaps in treatment options.