cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/vmft4d24h6.2
title: Crisis-Induced Environmental Action: Examining Youth Environmental Behaviors during Economic Crisis in Pakistan

description: This dataset arises from a cross-sectional survey conducted to explore how Generation Z's cognition of the post-COVID-19 economic recession influences their Pro-Environmental Behaviors (PEBs) across distinct spheres. The data was collected from respondents aged 18–26, residing in six major cities across Pakistan. The survey instrument measured variables related to emergency relevance, emergency coping, positive and negative environmental affective reactions, and self-reported PEBs in each sphere.
The dataset serves as the empirical foundation for testing an integrative model informed by Affective Events Theory, which examines the interplay of emergency cognition and affective reactions in driving environmental behavior during economic crises. The study employed Partial Least Squares Structural Equation Modeling (PLS-SEM) for analysis, offering insights into differential behavioral patterns across the identified spheres and advancing understanding of the challenges and opportunities for environmental action during economic downturns.This resource is valuable for researchers and policymakers interested in behavioral responses to intersecting economic and environmental challenges.
DOI: 10.17632/vbhp5z53py
title: Guide on Data and Methodology

description: This is the guide on data and methodology for the paper titled "Media Coverage and Goodwill Impairment". 
Abstract of associated paper: This study examines how media coverage influences goodwill impairment reporting in China. We find that higher media scrutiny reduces abnormal goodwill impairment by constraining opportunistic reporting decisions through information, reputation, and regulatory sanction mechanisms. Both policy and market-oriented media coverage contribute to this reduction. Media coverage significantly inhibits firms from avoiding impairment rather than overstating it. Results suggest a substitution effect between media coverage and other corporate governance mechanisms, such as auditors and institutional investors. Our main findings hold after addressing endogeneity issues. Overall, our findings support that media scrutiny plays a monitoring role in curbing opportunistic goodwill impairment reporting.
DOI: 10.17632/vbhp5z53py.2
title: Guide on Data and Methodology

description: This is the guide on data and methodology for the paper titled "Media Coverage and Goodwill Impairment". 
Abstract of associated paper: This study examines how media coverage influences goodwill impairment reporting in China. We find that higher media scrutiny reduces abnormal goodwill impairment by constraining opportunistic reporting decisions through information, reputation, and regulatory sanction mechanisms. Both policy and market-oriented media coverage contribute to this reduction. Media coverage significantly inhibits firms from avoiding impairment rather than overstating it. Results suggest a substitution effect between media coverage and other corporate governance mechanisms, such as auditors and institutional investors. Our main findings hold after addressing endogeneity issues. Overall, our findings support that media scrutiny plays a monitoring role in curbing opportunistic goodwill impairment reporting.
DOI: 10.26023/9wxc-cqrg-0v0n
title: ASPIRE-TEST: Flight Tracks - Google Earth .kml files. Version 1.0

description: KML is a file format used to display geographic data in an Earth browser such as Google Earth. This dataset contains KML files used to display the NSF/NCAR HIAPER GV flight track in real-time during the ASPIRE-TEST project.
DOI: 10.17632/8wv5vyp8cc
title: Information on Inpatients with Psoriasis in Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University (from 2009 to 2025)

description: Partial Diagnostic Information and Laboratory Test Results of Patients with Psoriasis
DOI: 10.17632/8wv5vyp8cc.1
title: Information on Inpatients with Psoriasis in Beijing Hospital of Traditional Chinese Medicine Affiliated to Capital Medical University (from 2009 to 2025)

description: Partial Diagnostic Information and Laboratory Test Results of Patients with Psoriasis
DOI: 10.15468/dl.t57vvu
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-7.2486 43.54257,-7.21505 43.54257,-7.21505 43.56974,-7.2486 43.56974,-7.2486 43.54257))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Fungi",
 "Year 2024-2025"
 ]
}

 The dataset includes 3 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042579-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/jm8c2vn28s
title: pork adulteration in e nose dataset(7 levels of adulteration)

description: Abstract
Electronic noses (E-noses) are increasingly utilized for food authentication and adulteration detection. In the context of halal compliance, pork adulteration in beef remains a significant concern. This study presents an E-nose system developed using eight MQ series gas sensors (MQ2, MQ3, MQ4, MQ5, MQ135, MQ136, MQ137, and MQ138) alongside a DHT22 sensor for temperature and humidity monitoring. These sensors were integrated with an ESP32-WROOM microcontroller, with each sensor connected to an analog input pin. The system transmits raw analog-to-digital converter (ADC) values wirelessly to a web server hosted at iotwebserver.com. The web server is configured to hold a maximum of 50 data entries, after which older entries are overwritten. To preserve the full dataset, raw readings are periodically downloaded and merged after every 50 updates.

Instructions:
Fresh ground beef and pork were procured from the same source on the same date. A total of seven sample compositions (each 250 g) were prepared:

250 g beef (100% beef)-class 1

225 g beef + 25 g pork (90% beef, 10% pork)-class 2

175 g beef + 75 g pork (70% beef, 30% pork)-class 3

125 g beef + 125 g pork (50% beef, 50% pork)-class 4

75 g beef + 175 g pork (30% beef, 70% pork)-class 5

25 g beef + 225 g pork (10% beef, 90% pork)-class 6

250 g pork (100% pork)-class 7

The procedure for each combination was as follows:

Sensors were preheated for 20 minutes before data acquisition.

The prepared sample was placed in the E-nose sampling chamber.

Sensor outputs were recorded every 1 minute for a duration of 124 minutes per sample.

After each trial, the chamber was ventilated using a fan for 4 minutes to prevent residual gas interference.

The dataset comprises exclusively raw ADC values. Each sample's data was saved in a .csv format, labeled according to its composition. Each record contains readings from the eight MQ sensors, followed by temperature and humidity values.
DOI: 10.17632/jm8c2vn28s.2
title: pork adulteration in e nose dataset(7 levels of adulteration)

description: Abstract
Electronic noses (E-noses) are increasingly utilized for food authentication and adulteration detection. In the context of halal compliance, pork adulteration in beef remains a significant concern. This study presents an E-nose system developed using eight MQ series gas sensors (MQ2, MQ3, MQ4, MQ5, MQ135, MQ136, MQ137, and MQ138) alongside a DHT22 sensor for temperature and humidity monitoring. These sensors were integrated with an ESP32-WROOM microcontroller, with each sensor connected to an analog input pin. The system transmits raw analog-to-digital converter (ADC) values wirelessly to a web server hosted at iotwebserver.com. The web server is configured to hold a maximum of 50 data entries, after which older entries are overwritten. To preserve the full dataset, raw readings are periodically downloaded and merged after every 50 updates.

Instructions:
Fresh ground beef and pork were procured from the same source on the same date. A total of seven sample compositions (each 250 g) were prepared:

250 g beef (100% beef)-class 1

225 g beef + 25 g pork (90% beef, 10% pork)-class 2

175 g beef + 75 g pork (70% beef, 30% pork)-class 3

125 g beef + 125 g pork (50% beef, 50% pork)-class 4

75 g beef + 175 g pork (30% beef, 70% pork)-class 5

25 g beef + 225 g pork (10% beef, 90% pork)-class 6

250 g pork (100% pork)-class 7

The procedure for each combination was as follows:

Sensors were preheated for 20 minutes before data acquisition.

The prepared sample was placed in the E-nose sampling chamber.

Sensor outputs were recorded every 1 minute for a duration of 124 minutes per sample.

After each trial, the chamber was ventilated using a fan for 4 minutes to prevent residual gas interference.

The dataset comprises exclusively raw ADC values. Each sample's data was saved in a .csv format, labeled according to its composition. Each record contains readings from the eight MQ sensors, followed by temperature and humidity values.
DOI: 10.17632/4hpvpmw2j9
title: Part 1/2 of work: Porous nerve guidance conduits with adjustable mechanical, anti-inflammatory and antibacterial properties

description: The results of studies on the morphological, structural and biological analysis of composites based on poly(3-hydroxybutyrate), polycaprolactone (PCL), MXenes and cannabinadiol intended for nerve tissue regeneration. The work was supported by the National Science Centre, Poland, under the research project "Assessment of the biomedical potential of new conductive composites in the context of their use in peripheral nerve regeneration”, no. DEC-2024/08/X/ST11/00571.
DOI: 10.15468/dl.wbwhc5
title: Occurrence Download

description: A dataset containing 135 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Epimedium sagittatum",
 "Year 1970-2025"
 ]
}

 The dataset includes 135 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0042578-250920141307145/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/4hpvpmw2j9.1
title: Part 1/2 of work: Porous nerve guidance conduits with adjustable mechanical, anti-inflammatory and antibacterial properties

description: The results of studies on the morphological, structural and biological analysis of composites based on poly(3-hydroxybutyrate), polycaprolactone (PCL), MXenes and cannabinadiol intended for nerve tissue regeneration. The work was supported by the National Science Centre, Poland, under the research project "Assessment of the biomedical potential of new conductive composites in the context of their use in peripheral nerve regeneration”, no. DEC-2024/08/X/ST11/00571.
DOI: 10.17632/mkz7j6cp65
title: Can the Change in Oxidative Stress Accompanying Pelvic Organ Prolapse Be Determined Noninvasively

description: This study evaluated whether OS markers can be detected non-invasively in vaginal fluid and whether they correlate with POP severity.
We prospectively enrolled 160 women with POP between February 2021 and June 2023. Vaginal fluid samples were collected, and three OS markers: 8-hydroxy-2'-deoxyguanosine (8-OHdG), 4-hydroxynonenal (HNE), and advanced glycation end products (AGE) were quantified using commercial ELISA kits. POP severity was assessed by POP-Q and ultrasound parameters.
8-OHdG was consistently detectable and significantly elevated in advanced POP compared to early stages (p = 0.001), showing a modest positive correlation with prolapse severity (ρ = 0.24, p &lt; 0.001). Regression analysis confirmed 8-OHdG as an independent predictor of prolapse severity (R² = 0.964). AGE levels did not differ significantly between groups, and HNE values were below detection thresholds in most samples. No associations were found between OS markers and age, BMI, or menopause duration.
DOI: 10.17632/mkz7j6cp65.1
title: Can the Change in Oxidative Stress Accompanying Pelvic Organ Prolapse Be Determined Noninvasively

description: This study evaluated whether OS markers can be detected non-invasively in vaginal fluid and whether they correlate with POP severity.
We prospectively enrolled 160 women with POP between February 2021 and June 2023. Vaginal fluid samples were collected, and three OS markers: 8-hydroxy-2'-deoxyguanosine (8-OHdG), 4-hydroxynonenal (HNE), and advanced glycation end products (AGE) were quantified using commercial ELISA kits. POP severity was assessed by POP-Q and ultrasound parameters.
8-OHdG was consistently detectable and significantly elevated in advanced POP compared to early stages (p = 0.001), showing a modest positive correlation with prolapse severity (ρ = 0.24, p &lt; 0.001). Regression analysis confirmed 8-OHdG as an independent predictor of prolapse severity (R² = 0.964). AGE levels did not differ significantly between groups, and HNE values were below detection thresholds in most samples. No associations were found between OS markers and age, BMI, or menopause duration.
DOI: 10.17632/n8mc3nspfn
title: e nose based Beef Quality Classification Dataset(4classes)

description: Electronic noses (E-noses) are increasingly used for real-time food spoilage detection and quality monitoring. Beef freshness is a critical parameter for food safety, as microbial activity produces volatile organic compounds (VOCs) that alter aroma signatures during spoilage. This dataset was developed to support the design and validation of a compact, low-cost E-nose system. The system integrates eight MOS gas sensors (MQ2, MQ3, MQ4, MQ5, MQ135, MQ136, MQ137, MQ138) and a DHT11 sensor for temperature and humidity monitoring, all connected to an ESP32-WROOM microcontroller. Each sensor was linked to an analog input pin, and raw analog-to-digital converter (ADC) values were wirelessly transmitted to a web server (iotwebserver.com). The server stored up to 50 entries before overwriting, and complete datasets were preserved by periodically downloading and merging the readings.

Fresh beef samples were obtained from a local market immediately after cutting (around 6:00 AM) to ensure maximum freshness. Spoilage progression was continuously monitored for 1735 minutes (~29 hours), with sensor readings recorded every 5 seconds. Each sample was placed in a sealed sampling chamber to capture VOC emissions dynamically over time.

The dataset is stored in CSV format, with each row representing one sensor reading and columns structured as follows:

Minute: Elapsed time since the start of monitoring

TVC: Total Viable Count (log10 scale) as a microbial reference

Label: Meat quality category

Class 1: Excellent (TVC &lt; 3)

Class 2: Good (3 ≤ TVC &lt; 4)

Class 3: Acceptable (4 ≤ TVC &lt; 5)

Class 4: Spoiled (TVC ≥ 5)

MQ2–MQ138: Resistance values from the eight MOS gas sensors

Temperature & Humidity: Recorded using the DHT11 sensor

This dataset provides high-resolution, time-resolved spoilage data that can be used for time-series analysis, feature extraction, and machine learning model development for intelligent beef freshness prediction and food safety monitoring.
DOI: 10.17632/n8mc3nspfn.1
title: e nose based Beef Quality Classification Dataset(4classes)

description: Electronic noses (E-noses) are increasingly used for real-time food spoilage detection and quality monitoring. Beef freshness is a critical parameter for food safety, as microbial activity produces volatile organic compounds (VOCs) that alter aroma signatures during spoilage. This dataset was developed to support the design and validation of a compact, low-cost E-nose system. The system integrates eight MOS gas sensors (MQ2, MQ3, MQ4, MQ5, MQ135, MQ136, MQ137, MQ138) and a DHT11 sensor for temperature and humidity monitoring, all connected to an ESP32-WROOM microcontroller. Each sensor was linked to an analog input pin, and raw analog-to-digital converter (ADC) values were wirelessly transmitted to a web server (iotwebserver.com). The server stored up to 50 entries before overwriting, and complete datasets were preserved by periodically downloading and merging the readings.

Fresh beef samples were obtained from a local market immediately after cutting (around 6:00 AM) to ensure maximum freshness. Spoilage progression was continuously monitored for 1735 minutes (~29 hours), with sensor readings recorded every 5 seconds. Each sample was placed in a sealed sampling chamber to capture VOC emissions dynamically over time.

The dataset is stored in CSV format, with each row representing one sensor reading and columns structured as follows:

Minute: Elapsed time since the start of monitoring

TVC: Total Viable Count (log10 scale) as a microbial reference

Label: Meat quality category

Class 1: Excellent (TVC &lt; 3)

Class 2: Good (3 ≤ TVC &lt; 4)

Class 3: Acceptable (4 ≤ TVC &lt; 5)

Class 4: Spoiled (TVC ≥ 5)

MQ2–MQ138: Resistance values from the eight MOS gas sensors

Temperature & Humidity: Recorded using the DHT11 sensor

This dataset provides high-resolution, time-resolved spoilage data that can be used for time-series analysis, feature extraction, and machine learning model development for intelligent beef freshness prediction and food safety monitoring.
DOI: 10.17632/vkyddxg65v
title: Code and Data for "Habitat-Mediated Noise Pollution Reduction in Seagrass Meadows"

description: Python code, R code, and supporting data files used to conduct acoustic and statistical analyses as part of the “Habitat-Mediated Noise Pollution Reduction in Seagrass Meadows” project.
DOI: 10.17632/vkyddxg65v.2
title: Code and Data for "Habitat-Mediated Noise Pollution Reduction in Seagrass Meadows"

description: Python code, R code, and supporting data files used to conduct acoustic and statistical analyses as part of the “Habitat-Mediated Noise Pollution Reduction in Seagrass Meadows” project.
DOI: 10.17632/cyvb6g7wyn
title: Replication package for the paper “The economics of water scarcity in the Americas”, 2 October 2025

description: The code and data files help to replicate the paper “The economics of water scarcity in the Americas”. This version includes all the raw Excel, CSV and Stata files, which allow for full replication of every code. A single main do file “Main_WaterScarcity_FMM_2025.do" replicates the entire paper with one click. Links to the raw data sources are also included in the README.
DOI: 10.5281/zenodo.17255548
title: Dataset related to article: Mikolajczyk K., et al. (2024) titled: "Delving into human α1,4- galactosyltransferase acceptor specificity: the role of enzyme dimerization"

description: Dataset related to the article:

Mikołajczyk K, Wróblewski K, Kmiecik S. Delving into human α1,4-galactosyltransferase acceptor specificity: The role of enzyme dimerization. Biochem Biophys Res Commun. 2024 Dec 3;736:150486. doi: 10.1016/j.bbrc.2024.150486.
DOI: 10.5281/zenodo.17255549
title: Dataset related to article: Mikolajczyk K., et al. (2024) titled: "Delving into human α1,4- galactosyltransferase acceptor specificity: the role of enzyme dimerization"

description: Dataset related to the article:

Mikołajczyk K, Wróblewski K, Kmiecik S. Delving into human α1,4-galactosyltransferase acceptor specificity: The role of enzyme dimerization. Biochem Biophys Res Commun. 2024 Dec 3;736:150486. doi: 10.1016/j.bbrc.2024.150486.
DOI: 10.17632/cyvb6g7wyn.1
title: Replication package for the paper “The economics of water scarcity in the Americas”, 2 October 2025

description: The code and data files help to replicate the paper “The economics of water scarcity in the Americas”. This version includes all the raw Excel, CSV and Stata files, which allow for full replication of every code. A single main do file “Main_WaterScarcity_FMM_2025.do" replicates the entire paper with one click. Links to the raw data sources are also included in the README.
DOI: 10.17632/sz6dxghf2h
title: Stenotrophomonas maltophilia Characterization in a Tertiary Hospital in Mexico: MLST Typing and Phenotypic and Genetic Determinants of Virulence

description: Dataset
DOI: 10.17632/sz6dxghf2h.1
title: Stenotrophomonas maltophilia Characterization in a Tertiary Hospital in Mexico: MLST Typing and Phenotypic and Genetic Determinants of Virulence

description: Dataset
DOI: 10.17632/79pn92jpr2.2
title: Data for publication

description: The repository contains a dataset derived from the characterization of lignocellulosic residues from agricultural activities in the state of Zacatecas, Mexico, with a focus on their potential valorization for activated carbon production. The information is organized in folders and files in Excel and QGIS-compatible formats, enabling both statistical analysis and spatial representation.
The repository structure includes:
QGIS Data folder: vector and raster files in QGIS-compatible formats, representing land use distribution, municipal and hydrological boundaries, and thematic maps of vegetation cover and crop areas.
Coordinates by Municipality folder: an Excel file containing the geographic coordinates of municipalities where agricultural residues were collected and characterized.
Quantitative Analysis folder: Excel files with data on harvested area, production volume, yields, and estimated residue generation by crop.
Physicochemical characterization files: tables with experimental results on cellulose, hemicellulose, lignin, ash, and nutrient content (nitrates and phosphates) obtained under standardized methodologies.
Valorization tables: consolidated information on the conversion potential of residues to activated carbon (kg AC/ton of residue), residue types, and possible applications.
DOI: 10.17632/466d8kyd4h
title: Phylogenetic Data for: Complete mitochondrial sequences from fish-infecting coccidia (Goussia species) reveal highly divergent genome organizations

description: Phylogenetic analyses related to the article entitled "Complete mitochondrial sequences from fish-infecting coccidia (Goussia species) reveal highly divergent genome organizations" by Slawnych et al. (2025). Three analyses are presented, each with the supporting data, method of tree reconstruction and the resulting tree. Phylogenetic trees were based on: 1) Concatenated nuclear 18S rDNA (18S rDNA) and mitochondrial cytochrome c oxidase subunit 1 (mtCOI) sequences; 2) nuclear 18S rDNA sequences only; and, 3) mtCOI sequences only. 

Citation for Primary Article: Natasha M. Slawnych, Larsen C. Iorgovits, Alex N. Leveille , Perryn S. Kruth, Sara M. Terier, Winter Kraemer, and John R. Barta. 2025. COMPLETE MITOCHONDRIAL SEQUENCES FROM FISH-INFECTING COCCIDIA (GOUSSIA SPECIES) REVEAL HIGHLY DIVERGENT GENOME ORGANIZATIONS. Journal of Parasitology 111(5) DOI: 10.1645/25-40
DOI: 10.17632/466d8kyd4h.2
title: Phylogenetic Data for: Complete mitochondrial sequences from fish-infecting coccidia (Goussia species) reveal highly divergent genome organizations

description: Phylogenetic analyses related to the article entitled "Complete mitochondrial sequences from fish-infecting coccidia (Goussia species) reveal highly divergent genome organizations" by Slawnych et al. (2025). Three analyses are presented, each with the supporting data, method of tree reconstruction and the resulting tree. Phylogenetic trees were based on: 1) Concatenated nuclear 18S rDNA (18S rDNA) and mitochondrial cytochrome c oxidase subunit 1 (mtCOI) sequences; 2) nuclear 18S rDNA sequences only; and, 3) mtCOI sequences only. 

Citation for Primary Article: Natasha M. Slawnych, Larsen C. Iorgovits, Alex N. Leveille , Perryn S. Kruth, Sara M. Terier, Winter Kraemer, and John R. Barta. 2025. COMPLETE MITOCHONDRIAL SEQUENCES FROM FISH-INFECTING COCCIDIA (GOUSSIA SPECIES) REVEAL HIGHLY DIVERGENT GENOME ORGANIZATIONS. Journal of Parasitology 111(5) DOI: 10.1645/25-40
DOI: 10.17632/yp7pkbm868
title: Mispricing Indian Capital Market Data set

description: This contains Data Related to Capital Markets, Google trends and Financial Information From 23 companies in Different Sectors toal of 1201 items.
DOI: 10.17632/yp7pkbm868.1
title: Mispricing Indian Capital Market Data set

description: This contains Data Related to Capital Markets, Google trends and Financial Information From 23 companies in Different Sectors toal of 1201 items.