cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/87cgs9zx7y.1
title: Genetic Correlation and Causal Relationship Between Facial Aging and Body Mass Index: A Multi-Omics Study with Natural Compound Insights

description: This dataset accompanies the study “Genetic Correlation and Causal Relationship Between Facial Aging and Body Mass Index: A Multi-Omics Study with Natural Compound Insights.”
It contains all supporting materials necessary to reproduce the genome-wide, Mendelian randomization, and colocalization analyses presented in the manuscript.
DOI: 10.17632/8bspthn5fb
title: ChemVQA-2K: A Visual Question Answering Dataset for Molecular Understanding

description: 🧪 ChemVQA-2K: A Visual Question Answering Dataset for Molecular Understanding
📘 Overview
ChemVQA-2K is a novel Visual Question Answering (VQA) dataset designed to bridge chemistry and multimodal AI.
It contains approximately 2,000 high-resolution molecular images (512×512) generated from valid SMILES strings, accompanied by 10 structured Q&A pairs per molecule, resulting in ~20,000 image-question-answer triplets.
Each image represents a 2D chemical structure rendered using RDKit, while each question tests the model’s ability to reason over molecular features such as formula, atom counts, bonds, functional groups, and polarity.
________________________________________
🧬 Dataset Structure
Component Description
ChemVQA_2K_images.zip 2,000 molecule renderings (mol_0.png, mol_1.png, …)
ChemVQA_2K_full.csv Complete dataset with columns: id, image_name, question, answer
 
Each record follows:
{
 "id": "mol_123",
 "image_name": "mol_123.png",
 "question": "What is the molecular formula of this molecule?",
 "answer": "C6H6O2"
}
________________________________________
🔍 Example Questions
Each molecule has multiple Q&A pairs, e.g.:
Question Example Answer
What is the molecular formula of this molecule? C₂H₅OH
What is the molecular weight? 46.07 g/mol
How many total atoms are present? 9
Which functional groups are present? Alcohol
Is the molecule polar or non-polar? Polar
________________________________________
⚙️ Data Generation Process
• Molecules generated by concatenating random organic fragments and validated using RDKit.
• Each molecule’s image created with Draw.MolToFile() at 512×512 px resolution.
• Functional groups detected via SMARTS pattern matching.
• Q&A pairs auto-generated from chemical descriptors (MolWt, CalcMolFormula, substructure matches).
________________________________________
🚀 Intended Use
ChemVQA-2K is ideal for:
• Fine-tuning Vision-Language Models (VLMs) for scientific visual reasoning.
• Developing chemistry-aware question answering systems.
• Training vision encoders on molecular visual patterns.
• Exploring RL-based visual understanding of chemical structures.
________________________________________
📊 Dataset Statistics
Property Value
Images 1924
Image resolution 512×512 px
Q&A pairs 19240
Functional groups detected 16
File size (approx.) ~25 MB (images + CSVs)
🧠 Potential Research Directions
• Multimodal Chemistry Understanding — connecting visual structure with symbolic reasoning.
• Scientific Vision-Language Pretraining — use as domain-specific VQA benchmark.
• Explainable Chemistry AI — models that describe functional features and molecular properties.
📂 File Organization
ChemVQA-2K/
├── images/
│ ├── mol_0.png
│ ├── mol_1.png
│ └── ...
├── ChemVQA_2K_full.csv
________________________________________
✅ ChemVQA-2K Dataset Benefits the Chemistry Community
 Bridges Chemistry and AI Literacy
• Helps chemistry students and researchers learn to interact with AI systems
DOI: 10.17632/8bspthn5fb.1
title: ChemVQA-2K: A Visual Question Answering Dataset for Molecular Understanding

description: 🧪 ChemVQA-2K: A Visual Question Answering Dataset for Molecular Understanding
📘 Overview
ChemVQA-2K is a novel Visual Question Answering (VQA) dataset designed to bridge chemistry and multimodal AI.
It contains approximately 2,000 high-resolution molecular images (512×512) generated from valid SMILES strings, accompanied by 10 structured Q&A pairs per molecule, resulting in ~20,000 image-question-answer triplets.
Each image represents a 2D chemical structure rendered using RDKit, while each question tests the model’s ability to reason over molecular features such as formula, atom counts, bonds, functional groups, and polarity.
________________________________________
🧬 Dataset Structure
Component Description
ChemVQA_2K_images.zip 2,000 molecule renderings (mol_0.png, mol_1.png, …)
ChemVQA_2K_full.csv Complete dataset with columns: id, image_name, question, answer
 
Each record follows:
{
 "id": "mol_123",
 "image_name": "mol_123.png",
 "question": "What is the molecular formula of this molecule?",
 "answer": "C6H6O2"
}
________________________________________
🔍 Example Questions
Each molecule has multiple Q&A pairs, e.g.:
Question Example Answer
What is the molecular formula of this molecule? C₂H₅OH
What is the molecular weight? 46.07 g/mol
How many total atoms are present? 9
Which functional groups are present? Alcohol
Is the molecule polar or non-polar? Polar
________________________________________
⚙️ Data Generation Process
• Molecules generated by concatenating random organic fragments and validated using RDKit.
• Each molecule’s image created with Draw.MolToFile() at 512×512 px resolution.
• Functional groups detected via SMARTS pattern matching.
• Q&A pairs auto-generated from chemical descriptors (MolWt, CalcMolFormula, substructure matches).
________________________________________
🚀 Intended Use
ChemVQA-2K is ideal for:
• Fine-tuning Vision-Language Models (VLMs) for scientific visual reasoning.
• Developing chemistry-aware question answering systems.
• Training vision encoders on molecular visual patterns.
• Exploring RL-based visual understanding of chemical structures.
________________________________________
📊 Dataset Statistics
Property Value
Images 1924
Image resolution 512×512 px
Q&A pairs 19240
Functional groups detected 16
File size (approx.) ~25 MB (images + CSVs)
🧠 Potential Research Directions
• Multimodal Chemistry Understanding — connecting visual structure with symbolic reasoning.
• Scientific Vision-Language Pretraining — use as domain-specific VQA benchmark.
• Explainable Chemistry AI — models that describe functional features and molecular properties.
📂 File Organization
ChemVQA-2K/
├── images/
│ ├── mol_0.png
│ ├── mol_1.png
│ └── ...
├── ChemVQA_2K_full.csv
________________________________________
✅ ChemVQA-2K Dataset Benefits the Chemistry Community
 Bridges Chemistry and AI Literacy
• Helps chemistry students and researchers learn to interact with AI systems
DOI: 10.17632/ncz5mdy44k
title: Plant water use efficiency and its abiotic and biotic environmental factors

description: Plant water use efficiency and its abiotic and biotic environmental factors.
DOI: 10.17632/ncz5mdy44k.1
title: Plant water use efficiency and its abiotic and biotic environmental factors

description: Plant water use efficiency and its abiotic and biotic environmental factors.
DOI: 10.17632/nw7yd5hvg3
title: Dataset_A joint distribution–random forest framework

description: This dataset supports the study of "Assessing wind erosion probability to guide soil conservation and enhance agricultural sustainability in the sandy lands of northern China". The dataset contains seasonal and spatially resolved calculations of air density, wind speed, and occurrence probability of wind erosion derived from meteorological station data and statistical modeling.

Specifically, the dataset includes:

1. Seasonal mean air density at meteorological stations within the interpolation region.
2. Input variables used for constructing the random forest model.
3. Calculation of threshold wind velocity.
4. Wind speed distribution parameters derived from the joint probability density functions (JPDFs) of air density and wind speed under different seasonal mean air density conditions.
5. Predicted wind speed distribution parameters for each pixel and the corresponding occurrence probability of wind erosion calculated by combining the threshold wind velocity.
6. Seasonal variation in the occurrence probability of wind erosion for each pixel.
7. Seasonal variation of maximum occurrence probability of wind erosion for each pixel and the corresponding season of the maximum value

The data are provided in structured folders with descriptive filenames. All variables are documented in the accompanying CSV files, and results are intended to support spatial analysis, model validation, and future environmental applications related to wind erosion under varying climate conditions.
DOI: 10.17632/nw7yd5hvg3.5
title: Dataset_A joint distribution–random forest framework

description: This dataset supports the study of "Assessing wind erosion probability to guide soil conservation and enhance agricultural sustainability in the sandy lands of northern China". The dataset contains seasonal and spatially resolved calculations of air density, wind speed, and occurrence probability of wind erosion derived from meteorological station data and statistical modeling.

Specifically, the dataset includes:

1. Seasonal mean air density at meteorological stations within the interpolation region.
2. Input variables used for constructing the random forest model.
3. Calculation of threshold wind velocity.
4. Wind speed distribution parameters derived from the joint probability density functions (JPDFs) of air density and wind speed under different seasonal mean air density conditions.
5. Predicted wind speed distribution parameters for each pixel and the corresponding occurrence probability of wind erosion calculated by combining the threshold wind velocity.
6. Seasonal variation in the occurrence probability of wind erosion for each pixel.
7. Seasonal variation of maximum occurrence probability of wind erosion for each pixel and the corresponding season of the maximum value

The data are provided in structured folders with descriptive filenames. All variables are documented in the accompanying CSV files, and results are intended to support spatial analysis, model validation, and future environmental applications related to wind erosion under varying climate conditions.
DOI: 10.17632/tcwzry9bxc
title: Dataset for "Properties of zero-determinant strategies in multichannel games"

description: Dataset used for creating Figure 1 in the paper "Properties of zero-determinant strategies in multichannel games".
DOI: 10.17632/tcwzry9bxc.1
title: Dataset for "Properties of zero-determinant strategies in multichannel games"

description: Dataset used for creating Figure 1 in the paper "Properties of zero-determinant strategies in multichannel games".
DOI: 10.5281/zenodo.17456056
title: Tracking habitat use of migratory birds in a human-dominated stopover site using deep learning and acoustic indices

description: acoustic indices_autumn:Acoustic indices in autumn migratory periods (秋季迁徙期的声学指数值);

acoustic indices_spring:Acoustic indices in spring migratory periods (春季迁徙期的声学指数值);

percent present_autumn:the percentage of biophony aggregated half-hourly and by habitat and PSD values aggregated half-hourly and by habitat during the autumn  migratory periods (秋季迁徙期各声音类型、各声学指数按每半小时处理后的均值);

percent present_spring:the percentage of biophony aggregated half-hourly and by habitat and PSD values aggregated half-hourly and by habitat during the spring  migratory periods (春季迁徙期各声音类型、各声学指数按每半小时处理后的均值)。
DOI: 10.5281/zenodo.17456057
title: Tracking habitat use of migratory birds in a human-dominated stopover site using deep learning and acoustic indices

description: acoustic indices_autumn:Acoustic indices in autumn migratory periods (秋季迁徙期的声学指数值);

acoustic indices_spring:Acoustic indices in spring migratory periods (春季迁徙期的声学指数值);

percent present_autumn:the percentage of biophony aggregated half-hourly and by habitat and PSD values aggregated half-hourly and by habitat during the autumn  migratory periods (秋季迁徙期各声音类型、各声学指数按每半小时处理后的均值);

percent present_spring:the percentage of biophony aggregated half-hourly and by habitat and PSD values aggregated half-hourly and by habitat during the spring  migratory periods (春季迁徙期各声音类型、各声学指数按每半小时处理后的均值)。
DOI: 10.17632/8bwxmx5kxj
title: Energy status orchestrates YTHDF1 phase separation and tumorigenesis-Accepted Version

description: Aberrant energy status impacts the initiation and progression of tumorigenesis, although the underlying mechanisms remain poorly understood. Adenosine monophosphate (AMP)-activated protein kinase (AMPK), a key sensor of cellular energy stress, is activated to facilitate metabolic adaptation and regulate tumorigenesis. Here, we reveal that energy deprivation-induced activation of AMPK phosphorylates YTHDF1 at Ser198, counteracting its O-GlcNAcylation. This phosphorylation alters the functional properties of YTHDF1 by suppressing its phase separation and its interaction with the translation initiation factor eIF3b, ultimately reducing protein translation. Notably, enhancing YTHDF1 phosphorylation to antagonize its O-GlcNAcylation through AMPK agonists or ketogenic diet effectively inhibits tumor cell growth both in vitro and in vivo. These findings elucidate a regulatory mechanism that links cellular energy status to YTHDF1 post-translational modifications and highlight the therapeutic potential of targeting YTHDF1-mediated pathways via metabolic interventions for cancer treatment.
DOI: 10.17632/8bwxmx5kxj.1
title: Energy status orchestrates YTHDF1 phase separation and tumorigenesis-Accepted Version

description: Aberrant energy status impacts the initiation and progression of tumorigenesis, although the underlying mechanisms remain poorly understood. Adenosine monophosphate (AMP)-activated protein kinase (AMPK), a key sensor of cellular energy stress, is activated to facilitate metabolic adaptation and regulate tumorigenesis. Here, we reveal that energy deprivation-induced activation of AMPK phosphorylates YTHDF1 at Ser198, counteracting its O-GlcNAcylation. This phosphorylation alters the functional properties of YTHDF1 by suppressing its phase separation and its interaction with the translation initiation factor eIF3b, ultimately reducing protein translation. Notably, enhancing YTHDF1 phosphorylation to antagonize its O-GlcNAcylation through AMPK agonists or ketogenic diet effectively inhibits tumor cell growth both in vitro and in vivo. These findings elucidate a regulatory mechanism that links cellular energy status to YTHDF1 post-translational modifications and highlight the therapeutic potential of targeting YTHDF1-mediated pathways via metabolic interventions for cancer treatment.
DOI: 10.15468/dl.hx6cpa
title: Occurrence Download

description: A dataset listing the 1659 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Australia",
 "IucnRedListCategory is one of (CR, EN, VU)",
 "OccurrenceStatus is Present",
 "Year 2013-2024"
 ]
}

 The dataset's 1659 records were derived from 306 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002895-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/9cx6yhwdp7
title: Thermal optimized PCR coupled to CRISPR-Cas12a for rapid detection of blaOXA-1 resistance gene

description: Supplementary files for the publication "Thermal optimized PCR coupled to CRISPR-Cas12a for rapid detection of blaOXA-1 resistance gene"
FASTA files of blaOXA sequences used for the crRNA design.

Supplementary File S1. Multiple sequence alignment of the DNA sequences retrieved from the CARD and NDARO databases related to the blaOXA-1 gene. 
Supplementary File S2. Multiple sequence alignments of the DNA sequences retrieved from the CARD and NDARO databases related to the non-blaOXA-1 groups.
DOI: 10.17632/9cx6yhwdp7.1
title: Thermal optimized PCR coupled to CRISPR-Cas12a for rapid detection of blaOXA-1 resistance gene

description: Supplementary files for the publication "Thermal optimized PCR coupled to CRISPR-Cas12a for rapid detection of blaOXA-1 resistance gene"
FASTA files of blaOXA sequences used for the crRNA design.

Supplementary File S1. Multiple sequence alignment of the DNA sequences retrieved from the CARD and NDARO databases related to the blaOXA-1 gene. 
Supplementary File S2. Multiple sequence alignments of the DNA sequences retrieved from the CARD and NDARO databases related to the non-blaOXA-1 groups.
DOI: 10.13012/b2idb-7548874_v1
title: Data for Evaluation of Strategies to Narrow the Product Chain-Length Distribution of Microbially Synthesized Free Fatty Acids

description: The dominant strategy for tailoring the chain-length distribution of free fatty acids (FFA) synthesized by heterologous hosts is expression of a selective acyl-acyl carrier protein (ACP) thioesterase. However, few of these enzymes can generate a precise (greater than 90% of a desired chain-length) product distribution when expressed in a microbial or plant host. The presence of alternative chain-lengths can complicate purification in situations where blends of fatty acids are not desired. We report the assessment of several strategies for improving the dodecanoyl-ACP thioesterase from the California bay laurel to exhibit more selective production of medium-chain free fatty acids to near exclusivity. We demonstrated that matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF MS) was an effective library screening technique for identification of thioesterase variants with favorable shifts in chain-length specificity. This strategy proved to be a more effective screening technique than several rational approaches discussed herein. With this data, we isolated four thioesterase variants which exhibited a more selective FFA distribution over wildtype when expressed in the fatty acid accumulating E. coli strain, RL08. We then combined mutations from the MALDI isolates to generate BTE-MMD19, a thioesterase variant capable of producing free fatty acids consisting of 90% of C12 products. Of the four mutations which conferred a specificity shift, we noted that three affected the shape of the binding pocket, while one occurred on the positively charged acyl carrier protein landing pad. Finally, we fused the maltose binding protein (MBP) from E. coli to the N – terminus of BTE-MMD19 to improve enzyme solubility and achieve a titer of 1.9 g per L of twelve-carbon fatty acids in a shake flask.
DOI: 10.17632/x2pnc6m44b
title: Dataset on Coffee Producer Associations in Risaralda, Colombia (2019–2020)

description: This dataset contains quantitative information collected from 15 coffee producer associations in the department of Risaralda, Colombia. It includes variables related to coffee production, income, sales diversification, and organizational characteristics. The data were used for correlation and hierarchical cluster analyses presented in the manuscript “Sustainable Value Chains and Income Resilience in Coffee Producer Associations: Evidence from Risaralda, Colombia.”
DOI: 10.17632/x2pnc6m44b.1
title: Dataset on Coffee Producer Associations in Risaralda, Colombia (2019–2020)

description: This dataset contains quantitative information collected from 15 coffee producer associations in the department of Risaralda, Colombia. It includes variables related to coffee production, income, sales diversification, and organizational characteristics. The data were used for correlation and hierarchical cluster analyses presented in the manuscript “Sustainable Value Chains and Income Resilience in Coffee Producer Associations: Evidence from Risaralda, Colombia.”
DOI: 10.17632/58s6g5tk4j
title: Jin et al.(2025)_ supplementary materials

description: This dataset accompanies the article “A meta-analysis of outage cost for value-based reliability planning” published in Energy Strategy Reviews. It provides a comprehensive meta-database of the Value of Lost Load (VoLL) estimates used in the study’s meta-regression analysis. The dataset was compiled from 56 peer-reviewed studies covering 47 countries and includes a total of 534 observations. Each observation corresponds to a distinct VoLL estimate and its associated contextual and methodological characteristics.

The purpose of this dataset is to support transparency, replicability, and further research on the economics of electricity reliability. It enables users to reproduce the results of the meta-regression and to conduct new analyses of outage cost determinants across countries and sectors.
DOI: 10.17632/58s6g5tk4j.1
title: Jin et al.(2025)_ supplementary materials

description: This dataset accompanies the article “A meta-analysis of outage cost for value-based reliability planning” published in Energy Strategy Reviews. It provides a comprehensive meta-database of the Value of Lost Load (VoLL) estimates used in the study’s meta-regression analysis. The dataset was compiled from 56 peer-reviewed studies covering 47 countries and includes a total of 534 observations. Each observation corresponds to a distinct VoLL estimate and its associated contextual and methodological characteristics.

The purpose of this dataset is to support transparency, replicability, and further research on the economics of electricity reliability. It enables users to reproduce the results of the meta-regression and to conduct new analyses of outage cost determinants across countries and sectors.
DOI: 10.5517/ccdc.csd.cc2dlh1k
title: CCDC 2222298: Experimental Crystal Structure Determination

description: Related Article: Jie Zhang, Minzhuo Liu, Meixia Xu, Zhiguo Chen, Xucong Peng, Qiusheng Yang, Ting Cai, Zhihong Zeng|2023|AIP J.Chem.Phys.|158|034503|doi:10.1063/5.0130600
description: Related Article: Jie Zhang, Meixia Xu, Shuiqing Wu, Zhiguo Chen, Liquan Luo, Taotao Zi, Xucong Peng, Qiusheng Yang, Minzhuo Liu, Zhihong Zeng|2023|Cryst.Growth Des.|23|3535|doi:10.1021/acs.cgd.3c00043
description: Related Article: Jie Zhang|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.17632/sytpg5h225
title: How Succesful Is AI And Non-AI Advertising? An Example of Meta Ads for Fashion Product Campaigns on Social Media Platforms

description: Today, the digital world is becoming more advanced. Many people need AI (Artificial Intelligence) to help them run their businesses. This study aims to analyze the effectiveness of digital advertising using Artificial Intelligence-based content compared to non-AI content in Meta Ads campaigns for Women's fashion products. In this experiment, two sets of ad campaigns ran in parallel on the Facebook and Instagram platforms for seven days, each using visual content created without AI and using AI. The metrics analyzed include impressions, cost-per-click (CPC), cost-per-result (CPR), cost-per- message conversion, click-through rate (CTR), and total messages received through WhatsApp Business as a form of conversion. Results show that AI-driven ads excel in generating the number of messages (91 messages) compared to non- AI content (82 messages)