cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/ppw7xcsxgv.1
title: Original Data for Development of Pd-Ni/Ni foam cathode based MFC-PMS system for dye wastewater treatment: Performance and underlying mechanism

description: This dataset contains the original experimental data supporting the research article on the development of a novel Pd-Ni/Ni foam cathode for microbial fuel cell-peroxymonosulfate (MFC-PMS) system for dye wastewater treatment. The data includes:

Electrochemical Performance Data:

Polarization curves and power density measurements for three different electrodes: Carbon cloth, Ni foam, and Pd-Ni foam

Voltage monitoring data over extended operation periods

Current-voltage characteristics under varying conditions

Material Characterization Data:

SEM images showing the microstructural evolution of electrode materials

EDS spectra and elemental composition analysis (including weight% and atomic% quantification)

XRD patterns for crystal structure identification

BET surface area measurements

Microbial Analysis Data:

16S rRNA sequencing data showing microbial community composition

Relative abundance of key electroactive bacteria (Geobacter, Thiobacillus, etc.)

Functional gene expression profiles related to electron transfer mechanisms

Wastewater Treatment Performance:

Dye degradation efficiency under different operational conditions

Chemical oxygen demand (COD) removal data

PMS activation efficiency measurements

Reactive oxygen species quantification

Experimental Parameters:

Detailed operational conditions (pH, temperature, PMS concentration, etc.)

Electrode preparation protocols

Analytical methods and instrumentation specifications
DOI: 10.17632/xj47rwwvbg
title: A cytomegalovirus encoded lncRNA blocks cell cycle progression. Fisher et al

description: RNA2.7 is the most abundant viral transcript generated by the HCMV virus. 
We uncover the RNA stability regulation mediated by RNA2.7 and characterize its effects over the cell cycle, which supports the infection of rapidly proliferating cells.
DOI: 10.15468/dl.ctyc5r
title: Occurrence Download

description: A dataset containing 1751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cytisus ratisbonensis, Chamaecytisus ratisbonensis)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 1751 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007860-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/xj47rwwvbg.2
title: A cytomegalovirus encoded lncRNA blocks cell cycle progression. Fisher et al

description: RNA2.7 is the most abundant viral transcript generated by the HCMV virus. 
We uncover the RNA stability regulation mediated by RNA2.7 and characterize its effects over the cell cycle, which supports the infection of rapidly proliferating cells.
DOI: 10.17632/7tbjsgcrj2
title: Supplementary Materials for Research Training Needs Assessment of Teachers in Sta. Lourdes

description: This supplementary materials contains the anonymized dataset and the intrument used to collect data.
DOI: 10.17632/7tbjsgcrj2.1
title: Supplementary Materials for Research Training Needs Assessment of Teachers in Sta. Lourdes

description: This supplementary materials contains the anonymized dataset and the intrument used to collect data.
DOI: 10.17632/gp7ymp38mg
title: How L2 Teachers Identify and Respond to GenAI-Generated Essays: A Sensemaking Theory Investigation

description: This repository contains materials and anonymized data for a mixed-methods study on CSL writing teachers’ detection of GenAI-generated essays and their sensemaking and pedagogical responses to AI-related uncertainty. The dataset supports replication of identification accuracy analyses and secondary analyses of teachers’ cue use and decision-making.
The study examines (a) teachers’ accuracy in classifying texts as GenAI-generated vs. student-written, (b) whether performance varies with teacher characteristics (e.g., experience; GenAI-use proficiency), (c) how text properties (e.g., score bands) affect detectability, and (d) how teachers construct “reasonable explanations” and response strategies when certainty is limited.
What the files contain.
Demographic Information of Interview Participants (DOCX): This DOCX file provides a participant characteristics table for the 20 interviewees in the qualitative phase of the study. Each row corresponds to one interview participant, identified only by an anonymous code (S1–S20). 
GenAI prompt template (DOCX): the standardized prompt used to generate banded GenAI essays; it instructs the model to compare four sample essays (Bands 2–5) and generate a new Band 2 essay under explicit constraints (e.g., 280–320 words; frequent character/lexical/grammar errors; lower fluency).
Questionnaire instrument (DOCX): background items plus a 12-essay task; for each essay participants provide a binary source judgment, a brief written justification, and a 2–5 quality score using the provided rubric; plus an overall open-ended cue question.
Interview protocol (DOCX): semi-structured guide eliciting reflections after the rating task, uncertainty and responsibility judgments, cue use and decision pathways, institutional support needs, and classroom response strategies.
DOI: 10.17632/gp7ymp38mg.1
title: How L2 Teachers Identify and Respond to GenAI-Generated Essays: A Sensemaking Theory Investigation

description: This repository contains materials and anonymized data for a mixed-methods study on CSL writing teachers’ detection of GenAI-generated essays and their sensemaking and pedagogical responses to AI-related uncertainty. The dataset supports replication of identification accuracy analyses and secondary analyses of teachers’ cue use and decision-making.
The study examines (a) teachers’ accuracy in classifying texts as GenAI-generated vs. student-written, (b) whether performance varies with teacher characteristics (e.g., experience; GenAI-use proficiency), (c) how text properties (e.g., score bands) affect detectability, and (d) how teachers construct “reasonable explanations” and response strategies when certainty is limited.
What the files contain.
Demographic Information of Interview Participants (DOCX): This DOCX file provides a participant characteristics table for the 20 interviewees in the qualitative phase of the study. Each row corresponds to one interview participant, identified only by an anonymous code (S1–S20). 
GenAI prompt template (DOCX): the standardized prompt used to generate banded GenAI essays; it instructs the model to compare four sample essays (Bands 2–5) and generate a new Band 2 essay under explicit constraints (e.g., 280–320 words; frequent character/lexical/grammar errors; lower fluency).
Questionnaire instrument (DOCX): background items plus a 12-essay task; for each essay participants provide a binary source judgment, a brief written justification, and a 2–5 quality score using the provided rubric; plus an overall open-ended cue question.
Interview protocol (DOCX): semi-structured guide eliciting reflections after the rating task, uncertainty and responsibility judgments, cue use and decision pathways, institutional support needs, and classroom response strategies.
DOI: 10.17632/zhpkygk2f3.1
title: Metabolic Alterations in Cardiomyocytes

description: All data generated or analyzed during“Metabolic Alterations in Cardiomyocytes”
DOI: 10.17632/tmz4fwbbh2
title: Dataset of publications on aviation emergency medicine (Scopus, December 2025)

description: This dataset contains a list of articles on aviation emergency medicine published in Scopus-indexed journals.
To compose the dataset, the Scopus database was searched in December 2025 using a combination of aviation medicine and emergency medicine keywords. No restrictions were imposed on publication date or language. Filters were applied for document type to include articles, reviews, letters, notes, editorials, conference papers, and short surveys. Subject areas were limited to healthcare-related and multidisciplinary. Terms concerning unmanned aerial devices were added to the search strategy as exclusion terms.
The obtained records were manually screened based on article titles and abstracts to select publications discussing flight-related health emergencies or the utilisation of aeromedical resources for managing health emergencies. Papers concerning emergencies at airports, people on the ground affected by air disasters, as well as publications on air rescue or air transportation without an emergency medicine context, were discarded.
Non-English translations of document titles were manually removed.
The resulting dataset contains 3,646 documents, including document titles, abstracts, source titles, years, citation counts, languages of original documents, document types, DOIs, web links, authors, author full names, affiliations, indexed keywords, and author keywords.
DOI: 10.17632/tmz4fwbbh2.1
title: Dataset of publications on aviation emergency medicine (Scopus, December 2025)

description: This dataset contains a list of articles on aviation emergency medicine published in Scopus-indexed journals.
To compose the dataset, the Scopus database was searched in December 2025 using a combination of aviation medicine and emergency medicine keywords. No restrictions were imposed on publication date or language. Filters were applied for document type to include articles, reviews, letters, notes, editorials, conference papers, and short surveys. Subject areas were limited to healthcare-related and multidisciplinary. Terms concerning unmanned aerial devices were added to the search strategy as exclusion terms.
The obtained records were manually screened based on article titles and abstracts to select publications discussing flight-related health emergencies or the utilisation of aeromedical resources for managing health emergencies. Papers concerning emergencies at airports, people on the ground affected by air disasters, as well as publications on air rescue or air transportation without an emergency medicine context, were discarded.
Non-English translations of document titles were manually removed.
The resulting dataset contains 3,646 documents, including document titles, abstracts, source titles, years, citation counts, languages of original documents, document types, DOIs, web links, authors, author full names, affiliations, indexed keywords, and author keywords.
DOI: 10.17632/rcdbpmdkfc
title: Fashion Retail Digital Payment Fraud

description: Dataset Description

The dataset comprises 1,000 individual transaction records, with each record representing a single digital payment transaction completed by customers within the fashion retail sector. The data is organised in a structured tabular format, where each row corresponds to one transaction and each column represents a specific attribute associated with that transaction. The dataset has been structured to support analytical examination of transactional behaviour and fraud-related patterns in digital payment environments.

A binary target variable is included to indicate the outcome of each transaction, allowing the dataset to be used for classification-based analysis. Alongside the target variable, the dataset incorporates a wide range of explanatory variables capturing demographic information, purchasing behaviour, payment characteristics, account activity, device usage, fulfilment details, and historical dispute behaviour. This multidimensional structure enables comprehensive representation of digital payment activity at the transaction level.

Target Variable

The dataset includes one dependent variable:

is_fraud

This variable indicates whether a transaction is fraudulent or legitimate. It is encoded as a binary value, where 0 denotes a legitimate transaction and 1 denotes a fraudulent transaction. The presence of this variable enables supervised classification by allowing models to learn patterns associated with fraudulent behaviour in comparison to normal transaction activity. The distribution of this variable reflects a typical fraud detection scenario in which fraudulent transactions occur less frequently than legitimate ones.
DOI: 10.17632/rcdbpmdkfc.1
title: Fashion Retail Digital Payment Fraud

description: Dataset Description

The dataset comprises 1,000 individual transaction records, with each record representing a single digital payment transaction completed by customers within the fashion retail sector. The data is organised in a structured tabular format, where each row corresponds to one transaction and each column represents a specific attribute associated with that transaction. The dataset has been structured to support analytical examination of transactional behaviour and fraud-related patterns in digital payment environments.

A binary target variable is included to indicate the outcome of each transaction, allowing the dataset to be used for classification-based analysis. Alongside the target variable, the dataset incorporates a wide range of explanatory variables capturing demographic information, purchasing behaviour, payment characteristics, account activity, device usage, fulfilment details, and historical dispute behaviour. This multidimensional structure enables comprehensive representation of digital payment activity at the transaction level.

Target Variable

The dataset includes one dependent variable:

is_fraud

This variable indicates whether a transaction is fraudulent or legitimate. It is encoded as a binary value, where 0 denotes a legitimate transaction and 1 denotes a fraudulent transaction. The presence of this variable enables supervised classification by allowing models to learn patterns associated with fraudulent behaviour in comparison to normal transaction activity. The distribution of this variable reflects a typical fraud detection scenario in which fraudulent transactions occur less frequently than legitimate ones.
DOI: 10.17632/6p8tstm89d
title: Cuidando do nosso corpo: entendendo a leucemia de forma divertida

description: O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br
DOI: 10.17632/6p8tstm89d.1
title: Cuidando do nosso corpo: entendendo a leucemia de forma divertida

description: O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br
DOI: 10.17632/684jw9wx66
title: Protegendo nossas defesas: neutropenia para toda a família

description: O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br
DOI: 10.17632/684jw9wx66.1
title: Protegendo nossas defesas: neutropenia para toda a família

description: O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br
DOI: 10.17632/2n4vkzph94
title: Feridas oncológicas: orientações para pacientes e cuidadores

description: O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br
DOI: 10.17632/2n4vkzph94.1
title: Feridas oncológicas: orientações para pacientes e cuidadores

description: O material é resultado de um projeto de extensão realizado por pesquisadores da Universidade Federal de São João del-Rei (UFSJ), Campus Centro-Oeste Dona Lindu, com o objetivo de democratizar o acesso à informação e apoiar pacientes e familiares ao longo do tratamento. Informações adicionais podem ser solicitadas via e-mail: silmaranunesandrade@ufsj.edu.br
DOI: 10.15468/dl.6kh3rg
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Calvoa crassinoda",
 "HasCoordinate is true",
 "BasisOfRecord is one of (Specimen)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007861-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/ycj443y3kc.2
title: N-linked glycosylation of GETV envelope proteins affect viral infection and pathogenicity

description: Getah virus (GETV) is an emerging mosquito-borne pathogen with a broad host range, posing a significant threat to livestock and public health. Although putative N-linked glycosylation sites on its envelope proteins have been reported, their precise functional roles remain uncharacterized. In this study, tunicamycin inhibition assays demonstrated that GETV replication depends on the host glycosylation machinery. Enzymatic dissection revealed that the envelope proteins E1 and E2 carry complex-type N-linked glycans, which are critical for infectivity. By constructing envelope protein N-linked glycosylation site mutants, it was revealed that the E1-N141 site influences viral entry, whereas the E2-N262 site was critical for both viral adsorption and invasion. Mutations at all envelope protein N-linked glycosylation sites impaired the infectivity of progeny virions, resulting in delayed replication kinetics and significantly reduced viral titers. In a suckling mouse model, all mutants showed attenuated pathogenicity, with the E2-N200 mutation conferring the most substantial reduction in virulence. Notably, despite reduced virulence, some mutants (E1-N141A and E2-N200A/N262A) elicited neutralizing antibody responses stronger than those induced by wild-type virus and provided complete protection against subsequent challenge with wild-type GETV. These findings highlight the critical role of envelope protein glycosylation in GETV infectivity and pathogenesis, providing a molecular basis for rational vaccine design.
DOI: 10.17909/z77s-5c44
title: Strong LensIng and Cluster Evolution JWST Program (SLICE)
DOI: 10.17632/s96k2vg4dw
title: Plate Kinematics Revealed by Distributed Deformation along Subduction interface: Insights From the Heilongjiang Complex, NE China——Supporting Information

description: Tables S1-S6 are included in the Supporting Information S1, including the EPMA, whole-rock major and trace element, LA-ICP-MS, Zircon trace element data, the previously published whole-rock major and trace element, and the previously published metamorphic ages.
DOI: 10.17632/s96k2vg4dw.2
title: Plate Kinematics Revealed by Distributed Deformation along Subduction interface: Insights From the Heilongjiang Complex, NE China——Supporting Information

description: Tables S1-S6 are included in the Supporting Information S1, including the EPMA, whole-rock major and trace element, LA-ICP-MS, Zircon trace element data, the previously published whole-rock major and trace element, and the previously published metamorphic ages.
DOI: 10.15468/dl.pfaamx
title: Occurrence Download

description: A dataset containing 8975 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Cytisus scoparius, Sarothamnus vulgaris, Sarothamnus scoparius, Sarothamnus scoparius)",
 "Year is greater than or equal to 1900",
 "Geometry POLYGON ((8.643 46.99, 14.1 46.92, 14.43 50.75, 8.534 50.83, 8.643 46.99))",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Observation, Human Observation, Machine Observation, Material sample)"
 ]
}

 The dataset includes 8975 records from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007862-260129131611470/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/rb9w34jskt
title: Resilient Data

description: Environmental data, air pollution data
DOI: 10.17632/rb9w34jskt.1
title: Resilient Data

description: Environmental data, air pollution data
DOI: 10.17632/hp94vb5w8v.2
title: The second-order term in the Einstein field equations derived from the FLRW metric perturbation modelling a 3D lattice universe generates a dynamical cosmological constant with the observed value

description: Several models have been proposed to explain the cosmological constant because of alterations in the distance-redshift relation caused by the universe’s inhomogeneities. We modelled the universe as a spherical galactic mass with a Gaussian radial profile, repeated at the nodes of a periodic 3D-lattice. The Einstein field density equation was solved to the second-order for the scalar field perturbation of the FLRW metric in the Newtonian gauge. The resulting metric solution is free of singularities. The diagonal Einstein spatial field equations exhibit only the subtraction of a second-order term. This term corresponds to a time-dependent cosmological constant in the reference frame comoving with the galaxy positions. This geometrically derived cosmological constant accurately predicts the current observed value using a realistic standard galaxy density profile, without introducing any additional adjustable parameters. This approach opens a track of research to explain the origin of the cosmological constant and of the Hubble tension within the framework of pure general relativity.
DOI: 10.17632/8chk8vdn2z
title: Road Anomaly Detection

description: Please Cited paper. A fusion approach of YOLOv8 and CNN-Transformer for End-to-End Road anomaly detection
DOI: https://doi.org/10.1038/s41598-025-29718-4
Abstract: 
Surveillance cameras are common in both the private and public sectors for security and monitoring, and closed-circuit television (CCTV) systems are used for surveillance, generating large amounts of video data that cannot be manually monitored 24/7. The traditional approach to analysis is time-consuming and inefficient, and there is a growing need for automated surveillance systems that can recognize and classify anomalies. The research area that has been the most challenging to solve is AD systems that detect anomalies in data that is not structured according to the normal patterns. RNNs are slow and have difficulty identifying anomalies in the road that occur in multiple frames at the same time, whereas CNNs are limited in extracting temporal features from objects and generally disregard the background noise in video frames. In this study, a new framework for background removal is presented that removes the irrelevant background elements during object recognition.