cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/5ttbh864tj
title: RNA sequencing of HTR-8/SVneo cells treated with LPS or co-treated with LPS and Amuc_1100 (1)

description: To elucidate the molecular mechanisms underlying the effects of Amuc_1100 on trophoblast function, transcriptomic profiling was conducted to compare the LPS group with the LPS + Amuc_1100 group. HTR-8/SVneo cells were treated with 200 ng/mL LPS or co-treated with 200 ng/mL LPS and 1000 ng/mL Amuc_1100 for 24 h (n=3) . Total RNA was extracted using TRIzol reagent (Thermo Fisher Scientific, USA), and RNA purity and integrity were assessed using a NanoDrop 2000 spectrophotometer and Agilent 2100 Bioanalyzer (Agilent Technologies, USA), respectively. Libraries were constructed with the TruSeq Stranded mRNA Library Prep Kit (Illumina, USA) and sequenced on the Illumina NovaSeq 6000 platform (paired-end, 150 bp). After quality control with fastp, clean reads were mapped to the human reference genome (GRCh38) using HISAT2, and gene-level quantification was performed with featureCounts.
DOI: 10.17632/5ttbh864tj.1
title: RNA sequencing of HTR-8/SVneo cells treated with LPS or co-treated with LPS and Amuc_1100 (1)

description: To elucidate the molecular mechanisms underlying the effects of Amuc_1100 on trophoblast function, transcriptomic profiling was conducted to compare the LPS group with the LPS + Amuc_1100 group. HTR-8/SVneo cells were treated with 200 ng/mL LPS or co-treated with 200 ng/mL LPS and 1000 ng/mL Amuc_1100 for 24 h (n=3) . Total RNA was extracted using TRIzol reagent (Thermo Fisher Scientific, USA), and RNA purity and integrity were assessed using a NanoDrop 2000 spectrophotometer and Agilent 2100 Bioanalyzer (Agilent Technologies, USA), respectively. Libraries were constructed with the TruSeq Stranded mRNA Library Prep Kit (Illumina, USA) and sequenced on the Illumina NovaSeq 6000 platform (paired-end, 150 bp). After quality control with fastp, clean reads were mapped to the human reference genome (GRCh38) using HISAT2, and gene-level quantification was performed with featureCounts.
DOI: 10.17632/b9hb7cnh79
title: The Role of Open Educational Resources in Developing Information Literacy Skills among Students: A Case Study at the University of Ghana

description: This dataset contains responses from a student survey designed to explore how Open Educational Resources (OER) support the development of information literacy (IL) skills among undergraduate and graduate students at the University of Ghana. The dataset documents student awareness, usage, and perceptions of OER, as well as self-reported improvements in IL competencies such as searching for academic information, evaluating sources, and citing properly.
DOI: 10.17632/b9hb7cnh79.1
title: The Role of Open Educational Resources in Developing Information Literacy Skills among Students: A Case Study at the University of Ghana

description: This dataset contains responses from a student survey designed to explore how Open Educational Resources (OER) support the development of information literacy (IL) skills among undergraduate and graduate students at the University of Ghana. The dataset documents student awareness, usage, and perceptions of OER, as well as self-reported improvements in IL competencies such as searching for academic information, evaluating sources, and citing properly.
DOI: 10.15468/dl.qftm9t
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013468-250827131500795/datasets/export for details.
DOI: 10.15468/dl.gqfb7d
title: Occurrence Download

description: A dataset containing 71 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella trichotoma",
 "Country is France",
 "HasCoordinate is true"
 ]
}

 The dataset includes 71 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013469-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.88xgah
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Orthochromis kasuluensis)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 8 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013466-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/fzd7b6nrbm.1
title: Data Interview Optimization of Coffee Industry Supply Chain in Indonesia with Blockchain Technology Lampung

description: This is the answer to the interview data from the Lampung actor coffee supply chain
DOI: 10.17632/5ydw2z83wx
title: Continental weathering and redox dynamics modulated marine phosphorus availability during the Sturtian deglaciation Supplementary Tables 1-4

description: Supplementary Table 1: Bulk-rock major element compositions (wt %) of samples from the Tongdao, Jiangkou, and Xinyu IFs. 
Supplementary Table 2: In-situ major element compositions (wt%) of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by EPMA.
Supplementary Table 3: In-situ REY compositions and related geochemical indices of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-ICP-MS.
Supplementary Table 4: In-situ Sr isotope compositions apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-MC-ICP-MS.
DOI: 10.17632/5ydw2z83wx.1
title: Continental weathering and redox dynamics modulated marine phosphorus availability during the Sturtian deglaciation Supplementary Tables 1-4

description: Supplementary Table 1: Bulk-rock major element compositions (wt %) of samples from the Tongdao, Jiangkou, and Xinyu IFs. 
Supplementary Table 2: In-situ major element compositions (wt%) of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by EPMA.
Supplementary Table 3: In-situ REY compositions and related geochemical indices of apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-ICP-MS.
Supplementary Table 4: In-situ Sr isotope compositions apatite from the Tongdao, Jiangkou, and Xinyu IFs, determined by LA-MC-ICP-MS.
DOI: 10.17632/ksbzj66fsr
title: Performance and Pedagogy: A unique blend: Experimenting Applied Theatre for Literature Teaching in Hybrid Classrooms

description: In the context of rapidly evolving educational landscapes, particularly in hybrid and blended learning environments, the need for innovative, student-centered pedagogies has never been more urgent. This study explores the integration of applied theatre techniques into the teaching of English literature within a hybrid classroom setting. Using Alphonse Daudet’s short story “The Last Lesson” as the literary anchor, the research was conducted with 251 Grade 12 students across experimental and control groups. The intervention included performance-based strategies such as Image Theatre, in-class skits, and digital monologue submissions delivered through a blended learning model combining face-to-face sessions and online platforms like Google Classroom.
A quasi-experimental mixed-methods design was employed to assess both cognitive and affective learning outcomes. Quantitative data from pre- and post-tests revealed a statistically significant improvement in the experimental group compared to the control group. Qualitative data, including student reflections, focus group discussions, and teacher observations, highlighted enhanced student motivation, empathy, expressive confidence, and engagement with complex literary themes. The study draws on constructivist and experiential learning theories to argue that applied theatre re-humanizes literary education in digital spaces, positioning performance as a powerful pedagogical tool in the blended learning paradigm.

Keywords
Blended learning, Applied theatre, Hybrid classrooms, English literature education, Experiential learning, Constructivist pedagogy, Student engagement, Performance-based learning, Digital pedagogy, Arts integration
DOI: 10.17632/ksbzj66fsr.1
title: Performance and Pedagogy: A unique blend: Experimenting Applied Theatre for Literature Teaching in Hybrid Classrooms

description: In the context of rapidly evolving educational landscapes, particularly in hybrid and blended learning environments, the need for innovative, student-centered pedagogies has never been more urgent. This study explores the integration of applied theatre techniques into the teaching of English literature within a hybrid classroom setting. Using Alphonse Daudet’s short story “The Last Lesson” as the literary anchor, the research was conducted with 251 Grade 12 students across experimental and control groups. The intervention included performance-based strategies such as Image Theatre, in-class skits, and digital monologue submissions delivered through a blended learning model combining face-to-face sessions and online platforms like Google Classroom.
A quasi-experimental mixed-methods design was employed to assess both cognitive and affective learning outcomes. Quantitative data from pre- and post-tests revealed a statistically significant improvement in the experimental group compared to the control group. Qualitative data, including student reflections, focus group discussions, and teacher observations, highlighted enhanced student motivation, empathy, expressive confidence, and engagement with complex literary themes. The study draws on constructivist and experiential learning theories to argue that applied theatre re-humanizes literary education in digital spaces, positioning performance as a powerful pedagogical tool in the blended learning paradigm.

Keywords
Blended learning, Applied theatre, Hybrid classrooms, English literature education, Experiential learning, Constructivist pedagogy, Student engagement, Performance-based learning, Digital pedagogy, Arts integration
DOI: 10.17632/pgmghhy2gf
title: HOW IMPORTANT ARE SEDIMENT BUDGET ESTIMATES FOR SHORELINE PROJECTIONS UNDER RISING SEA LEVELS?

description: This study examines coastal dynamics along the central-southern coast of Rio Grande do Sul (RS), focusing on the interaction between the sediment budget (SB) and sea-level rise (SLR). Using the RanSTM model, the morphological response of the region to SLR was simulated. Calibration employed SB data estimated at different temporal scales: annual (DRONE surveys), decadal (satellite imagery), and long-term (stratigraphy and geophysics).
DOI: 10.17632/pgmghhy2gf.3
title: HOW IMPORTANT ARE SEDIMENT BUDGET ESTIMATES FOR SHORELINE PROJECTIONS UNDER RISING SEA LEVELS?

description: This study examines coastal dynamics along the central-southern coast of Rio Grande do Sul (RS), focusing on the interaction between the sediment budget (SB) and sea-level rise (SLR). Using the RanSTM model, the morphological response of the region to SLR was simulated. Calibration employed SB data estimated at different temporal scales: annual (DRONE surveys), decadal (satellite imagery), and long-term (stratigraphy and geophysics).
DOI: 10.17632/nntnnzffw4.2
title: Vehicle License Plate Detection Dataset V1

description: Vehicle License Plate Detection Dataset
This dataset consists of high-resolution images of vehicle license plates captured in various real-world settings. The data was collected across different locations in Dhaka, Bangladesh, during the months of October and November 2024. The primary goal of this dataset is to enable research and development in vehicle license plate recognition systems using image processing and machine learning techniques.
Key Details:
Number of Images:2947
Number of Classes: 5 (types of license plates based on vehicle categories or regional variations)
Captured Locations: Dhaka, Ashulia, Narsingdi, Bangladesh
Capture Period: October 20 - November 2, 2024
Purpose:
Support the development of automated vehicle license plate recognition (LPR) systems.
Aid in real-time vehicle identification for security, parking management, and traffic monitoring systems.
Enable the creation of reliable image-based vehicle recognition models using deep learning algorithms.
Contribute to improved traffic regulation and law enforcement, facilitating easier identification of vehicles in urban environments.
DOI: 10.17632/4b9vy2t7tk
title: The NCAR-TIEGCM Version 3.0

description: The sample data and plotting routines for TIEGCM 3.0 principle paper
DOI: 10.17632/4b9vy2t7tk.3
title: The NCAR-TIEGCM Version 3.0

description: The sample data and plotting routines for TIEGCM 3.0 principle paper
DOI: 10.17632/byp7p32gpx
title: Whole-cortex BARseq dataset with spatial organization of cell types across 40 full coronal sections

description: This dataset contains information on all segmented neurons from 40 whole coronal slices covering the majority of P56 C57BL6J mouse cortex. Each neuron has associated gene expression, position and cell type.
DOI: 10.17632/byp7p32gpx.1
title: Whole-cortex BARseq dataset with spatial organization of cell types across 40 full coronal sections

description: This dataset contains information on all segmented neurons from 40 whole coronal slices covering the majority of P56 C57BL6J mouse cortex. Each neuron has associated gene expression, position and cell type.
DOI: 10.17632/vskv3kyry9
title: Personal Reputation Management in SMEs of Puebla Mexico

description: This dataset was used to examined the multidimensional personal reputation of selling managers in five SMEs of Tehuacan Puebla Mexico by the employment of Probability Theory. According to Carrillo-Duran et al., (2023) stress the importance of performing studies by Probability Theory. The personal reputation was assessed by 250 external clients and the inventory used was the scale developed by Zinko et al., (2016).
DOI: 10.17632/vskv3kyry9.1
title: Personal Reputation Management in SMEs of Puebla Mexico

description: This dataset was used to examined the multidimensional personal reputation of selling managers in five SMEs of Tehuacan Puebla Mexico by the employment of Probability Theory. According to Carrillo-Duran et al., (2023) stress the importance of performing studies by Probability Theory. The personal reputation was assessed by 250 external clients and the inventory used was the scale developed by Zinko et al., (2016).
DOI: 10.17632/rm9pngm8mc
title: Raw data

description: DIGE experiment
DOI: 10.17632/rm9pngm8mc.1
title: Raw data

description: DIGE experiment
DOI: 10.17632/nzwvkr7vgj.1
title: Dysregulated Fatty Acid Metabolism Following Intermittent Hypoxemia-induced Neonatal Brain Injury is Rescued by Treatment with Acetate

description: Targeted lipidomics of frozen mouse microdissected hippocampal tissue. Using an established model of neonatal brain injury due to intermittent hypoxemia, we examined the extent of changes in the brain’s lipid profile. Mice underwent intermittent hypoxemia (IHx) during postnatal days (P) 1-11 and were compared to normoxia controls (Nx). We measured hippocampal lipids at several time points (P11, P17, P22, and P30). Our results show changes in hippocampal lipid composition.
DOI: 10.17632/gphbs7vsbz.1
title: A Context-Aware Bengali Toxic Comments Dataset

description: This dataset provides a context-aware collection of Bengali toxic and non-toxic comments curated from the official Facebook pages of two leading Bangladeshi news portals, Prothom Alo and News24, during the period April–June 2025. All data were obtained from publicly available sources, ensuring that no private or personally identifiable information was collected or retained. In total, 1,004 comments were collected, covering diverse domains such as politics, sports, entertainment, and social issues. 

Unlike conventional toxic comment datasets, this dataset consists of several key attributes, including the news title, which represents the headline of the source article; metadata, which contains the detailed text of the corresponding news article; the target comment, which is the primary comment being analyzed; the predecessor comment, referring to the immediate parent comment where available; and the successor comment, which is the next comment in the thread. Additionally, the dataset retains the user name, representing the display name of the commenter, and a label assigned through majority voting to categorize each entry as either toxic or non-toxic.

Regarding class distribution, the dataset contains 507 toxic and 497 non-toxic samples, resulting in a nearly balanced composition. Toxic comments are defined as those containing hate speech, offensive or abusive language, sarcasm, personal attacks, or threats. For example, one toxic comment states: “শালা জানোয়ার টারে একদম ঠিকমতো বাটাম দেওয়া হোক,” which translates to “That bastard should be properly beaten.” Non-toxic comments, by contrast, are neutral, informative, constructive, or polite in nature, without harmful expressions. For instance, one non-toxic comment states: “চরিত্র খারাপ মনে হয় না, তবে বদমেজাজি মনে হয়, রাগ কন্ট্রোল করতে পারে না,” translated as “Doesn't seem to have a bad character, but appears short-tempered and cannot control anger.”
DOI: 10.5281/zenodo.17012318
title: Global Energy Transition Exacerbates Future Inequities
DOI: 10.17632/t5xkbsnrgw.1
title: THE ACADEMIC INTEGRITY OF THE PROFESSOR: THE PATH TOWARDS A POSITIVE REPUTATION

description: This data set was used to perform regression analysis and suggest that the academic integrity of postgraduate professors at a university campus in central Mexico is a predictor variable of a positive reputation of said professors. The manuscript citation is as follows: Cabrera-Gala, R., & Cavazos Arroyo, J. (2023). La integridad académica del profesor: el camino hacia una reputación positiva [Professor's Academic Integrity: The Path To A Positive Reputation]. A&Amp;H Revista De Artes, Humanidades Y Ciencias Sociales, (17), 50–82. Retreived from https://revistas.upaep.mx/index.php/ayh/article/view/293
DOI: 10.17632/yys88znnrx
title: Proteins interacting with Amuc_1100 identified by Pull-down binding mass spectrometry

description: To identify potential interacting proteins of Amuc_1100, GST pull-down assays were conducted using lysates from human trophoblast HTR-8/SVneo cells, as well as mouse placental and small intestinal epithelial tissues. Recombinant GST-Amuc_1100 fusion protein and GST control protein were expressed in Escherichia coli BL21 (DE3) cells and purified using the GST pull-down kit (FI8804-20T, Guangzhou Huijun Biotechnology Co., Ltd., China) according to the manufacturer's instructions. Cell and tissue lysates were prepared using lysis buffer (20 mM Tris-HCl, pH 7.5; 150 mM NaCl; 1% NP-40; 1 mM EDTA) supplemented with protease inhibitors (Beyotime, P1005, China). Equal amounts of lysates were incubated with GST or GST-Amuc_1100 immobilized on glutathione-affinity resin at 4°C overnight with gentle rotation. After extensive washing, bound proteins were eluted, separated by SDS-PAGE, and visualized using Coomassie Brilliant Blue staining. Distinct protein bands were excised, subjected to in-gel trypsin digestion, and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) using an Orbitrap Exploris 480 mass spectrometer (Thermo Fisher Scientific, USA). Identified proteins were annotated using the UniProt database and analyzed for functional enrichment and pathway involvement using appropriate bioinformatics tools.
DOI: 10.17632/yys88znnrx.1
title: Proteins interacting with Amuc_1100 identified by Pull-down binding mass spectrometry

description: To identify potential interacting proteins of Amuc_1100, GST pull-down assays were conducted using lysates from human trophoblast HTR-8/SVneo cells, as well as mouse placental and small intestinal epithelial tissues. Recombinant GST-Amuc_1100 fusion protein and GST control protein were expressed in Escherichia coli BL21 (DE3) cells and purified using the GST pull-down kit (FI8804-20T, Guangzhou Huijun Biotechnology Co., Ltd., China) according to the manufacturer's instructions. Cell and tissue lysates were prepared using lysis buffer (20 mM Tris-HCl, pH 7.5; 150 mM NaCl; 1% NP-40; 1 mM EDTA) supplemented with protease inhibitors (Beyotime, P1005, China). Equal amounts of lysates were incubated with GST or GST-Amuc_1100 immobilized on glutathione-affinity resin at 4°C overnight with gentle rotation. After extensive washing, bound proteins were eluted, separated by SDS-PAGE, and visualized using Coomassie Brilliant Blue staining. Distinct protein bands were excised, subjected to in-gel trypsin digestion, and analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS) using an Orbitrap Exploris 480 mass spectrometer (Thermo Fisher Scientific, USA). Identified proteins were annotated using the UniProt database and analyzed for functional enrichment and pathway involvement using appropriate bioinformatics tools.
DOI: 10.17632/s36zkd8mby
title: Large-Scale Synthetic Dataset for Q-Factor Prediction in Optical Communication Systems

description: This dataset comprises 1,000,000 synthetic samples designed for machine learning-based prediction of the Q-Factor, a key quality metric in optical communication systems. Each sample simulates a fiber-optic transmission scenario using five numerical input features representing:

- OSNR (Optical Signal-to-Noise Ratio)
- Launch Power
- Fiber Length
- Chromatic Dispersion
- Nonlinear Effects

The target output is the Q-Factor, modeled using a nonlinear combination of the input features, incorporating quadratic, logarithmic, sinusoidal, and cubic terms to reflect realistic physical interactions. Gaussian noise is added to emulate measurement variability found in real-world systems.

This dataset is ideal for:

- Training and benchmarking regression models (e.g., neural networks, XGBoost)
- Research in QoT (Quality of Transmission) estimation
- Educational use in optical communications and machine learning

The dataset is saved in CSV format and can be directly used in Python (e.g., via pandas), MATLAB, or any data analysis environment.
DOI: 10.17632/s36zkd8mby.1
title: Large-Scale Synthetic Dataset for Q-Factor Prediction in Optical Communication Systems

description: This dataset comprises 1,000,000 synthetic samples designed for machine learning-based prediction of the Q-Factor, a key quality metric in optical communication systems. Each sample simulates a fiber-optic transmission scenario using five numerical input features representing:

- OSNR (Optical Signal-to-Noise Ratio)
- Launch Power
- Fiber Length
- Chromatic Dispersion
- Nonlinear Effects

The target output is the Q-Factor, modeled using a nonlinear combination of the input features, incorporating quadratic, logarithmic, sinusoidal, and cubic terms to reflect realistic physical interactions. Gaussian noise is added to emulate measurement variability found in real-world systems.

This dataset is ideal for:

- Training and benchmarking regression models (e.g., neural networks, XGBoost)
- Research in QoT (Quality of Transmission) estimation
- Educational use in optical communications and machine learning

The dataset is saved in CSV format and can be directly used in Python (e.g., via pandas), MATLAB, or any data analysis environment.
DOI: 10.15468/dl.fsknup
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Nassella trichotoma",
 "Country is Italy",
 "HasCoordinate is true"
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013470-250827131500795/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.