cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13932057
title: Usability Evaluation of the Agriculture Product Types Ontology (APTO)

description: Recommended citation:Soares, F. M., Saraiva, A. M., Pires, L. F., Drucker, D. P., Braghetto, K. R., Santos, L. O. B. D. S., Moreira, D. D. A., Corrêa, F. E., & Delbem, A. C. B. (2025). A novel ux-based approach for ontology evaluation: Applying tree testing to the agricultural product types ontology. IEEE Access, 13,  https://doi.org/10.1109/ACCESS.2025.3595447In evaluating the APTO ontology, we selected tree testing as the primary UX measuring protocol. We believe tree testing is particularly suitable for ontology evaluation as it combines various metrics, such as time on task and task success, to assess how users navigate and understand a hierarchy of concepts. This method allows us to trace user paths through the ontology's structure, identifying which aspects of the modeling may be confusing or inaccurate from the user's perspective. By analyzing these user interactions, we can gain valuable insights into how the ontology's design impacts usability, ultimately guiding improvements to better align with user needs.Update in this version: images of pietrees.
DOI: 10.17632/tbmtct54gc
title: Original datasets for Copper control of the suppressive capacity in regulatory T cells

description: To further explore the underlying mechanism by which Slc31a1 regulates the histone acetylation of suppressive genes, we performed mass-based targeted metabolomic analysis of expanded ChiKO vs. WT Tregs (Fig. S5D). Although we successfully harvested a considerable number of Tregs through ex vivo expansion, which met the sample requirements for metabolomics, long-term activation via high doses of IL-2 (2000 U/ml) and αCD3/αCD28 Dynabeads normalized the differences in energy metabolism between the KO and control groups, as shown in their metabolic profiles (Fig. S5D). Nevertheless, phosphoenolpyruvic acid (PEP) and cyclic AMP (cAMP) levels were greater and dCMP levels were lower in expanded ChiKO Tregs than in expanded WT Tregs (Fig. S5D). The higher PEP46 level may reflect an enhanced glycolytic state in expanded ChiKO vs. expanded WT Tregs.
DOI: 10.17632/tbmtct54gc.1
title: Original datasets for Copper control of the suppressive capacity in regulatory T cells

description: To further explore the underlying mechanism by which Slc31a1 regulates the histone acetylation of suppressive genes, we performed mass-based targeted metabolomic analysis of expanded ChiKO vs. WT Tregs (Fig. S5D). Although we successfully harvested a considerable number of Tregs through ex vivo expansion, which met the sample requirements for metabolomics, long-term activation via high doses of IL-2 (2000 U/ml) and αCD3/αCD28 Dynabeads normalized the differences in energy metabolism between the KO and control groups, as shown in their metabolic profiles (Fig. S5D). Nevertheless, phosphoenolpyruvic acid (PEP) and cyclic AMP (cAMP) levels were greater and dCMP levels were lower in expanded ChiKO Tregs than in expanded WT Tregs (Fig. S5D). The higher PEP46 level may reflect an enhanced glycolytic state in expanded ChiKO vs. expanded WT Tregs.
DOI: 10.15468/dl.z3k3j6
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014894-250802193616735/datasets/export for details.
DOI: 10.15468/dl.jkytk8
title: Occurrence Download

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

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014895-250802193616735/datasets/export for details.
DOI: 10.17632/6dcbs3gpb5.1
title: Supplementary materials for Reviewers

description: Supplementary materials for "Increased Risk of Paradoxical Psoriatic Disease Associated with IL-23/IL-17 Pathway Biologics: A FAERS Pharmacovigilance Analysis".
DOI: 10.15468/dl.jpbyn6
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Microschemobrycon meyburgi)",
 "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 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014896-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wk852gx8zj
title: Communication overload survey data

description: This study analyzes the dual impact of increased communication in digital workplace: improving work productivity while increasing stress due to communication overload, and its effects on employees' conative use of collaboration tools. Conative system use refers to proactive behavior in which users effectively utilize work tools to solve problems and maximize performance, explaining the actual level of usage in situations where specific programs must be used mandatorily. Grounded in Social Cognitive Theory's triadic reciprocal determinism, this study examines the dynamic interactions among environmental, personal, and behavioral factors, specifically focusing on how communication overload affects user attitudes, fatigue, usage intentions, and conative system use in mandatory technology environments.
Using structural equation modeling with time-lagged data collected from 277 knowledge workers, we find that communication overload increases both continuance intention and discontinuous usage intention toward collaboration tools through the mediating effects of attitude toward collaboration tool use and fatigue in collaboration tool use. Interestingly, both continuance intention and discontinuous usage intention positively influence conative system use, suggesting that conflicting user motivations can lead to the same behavioral outcome through different pathways. This study contributes to technology acceptance research by clarifying the dual mechanisms through which communication overload influences user behavior in digital work environments. The findings offer theoretical frameworks for understanding employees' psychological responses and adaptive behaviors when adopting collaboration technologies. This study also provides organizations with insights for managing communication overload's negative effects while leveraging its productivity benefits.
DOI: 10.15468/dl.6xx72z
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Rhomboidichthys poecilurus"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014897-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/wk852gx8zj.1
title: Communication overload survey data

description: This study analyzes the dual impact of increased communication in digital workplace: improving work productivity while increasing stress due to communication overload, and its effects on employees' conative use of collaboration tools. Conative system use refers to proactive behavior in which users effectively utilize work tools to solve problems and maximize performance, explaining the actual level of usage in situations where specific programs must be used mandatorily. Grounded in Social Cognitive Theory's triadic reciprocal determinism, this study examines the dynamic interactions among environmental, personal, and behavioral factors, specifically focusing on how communication overload affects user attitudes, fatigue, usage intentions, and conative system use in mandatory technology environments.
Using structural equation modeling with time-lagged data collected from 277 knowledge workers, we find that communication overload increases both continuance intention and discontinuous usage intention toward collaboration tools through the mediating effects of attitude toward collaboration tool use and fatigue in collaboration tool use. Interestingly, both continuance intention and discontinuous usage intention positively influence conative system use, suggesting that conflicting user motivations can lead to the same behavioral outcome through different pathways. This study contributes to technology acceptance research by clarifying the dual mechanisms through which communication overload influences user behavior in digital work environments. The findings offer theoretical frameworks for understanding employees' psychological responses and adaptive behaviors when adopting collaboration technologies. This study also provides organizations with insights for managing communication overload's negative effects while leveraging its productivity benefits.
DOI: 10.17632/n8mpzb7p4k
title: SugarcaneLD-BD: A Sugarcane Leaf Diseases Dataset for Classification of Sugarcane Leaf Diseases Using Machine Learning

description: Sugarcane is susceptible to various leaf diseases that can negatively affect plant health and reduce yield. Early detection and proper management of these diseases are crucial for maintaining crop productivity.

SugarcaneLD-BD dataset was compiled to support research on low-cost, non-invasive, and rapid identification of sugarcane leaf diseases using machine learning.

It comprises 638 JPG images across five classes: four major sugarcane leaf diseases (a) Red Rot, (b) Red Leaf Spot, (c) Ring Spot, and (d) Eye Spot, and one class representing healthy leaves.

Images were collected from four locations in Bangladesh:
(a) Bangladesh Sugarcrop Research Institute (BSRI) research field in Pabna
(b) BSRI Gazipur Regional Station research field in Gazipur
(c) Farmers' field in Narsingdi
(d) Farmers' field in Natore

Data collection took place between September and October 2023 using two smartphone cameras. All images were labeled and verified by an expert plant pathologist and resized to 224 × 224 pixels.

Researchers and practitioners can use this dataset to develop and evaluate machine learning models for sugarcane leaf disease detection.
DOI: 10.17632/n8mpzb7p4k.1
title: SugarcaneLD-BD: A Sugarcane Leaf Diseases Dataset for Classification of Sugarcane Leaf Diseases Using Machine Learning

description: Sugarcane is susceptible to various leaf diseases that can negatively affect plant health and reduce yield. Early detection and proper management of these diseases are crucial for maintaining crop productivity.

SugarcaneLD-BD dataset was compiled to support research on low-cost, non-invasive, and rapid identification of sugarcane leaf diseases using machine learning.

It comprises 638 JPG images across five classes: four major sugarcane leaf diseases (a) Red Rot, (b) Red Leaf Spot, (c) Ring Spot, and (d) Eye Spot, and one class representing healthy leaves.

Images were collected from four locations in Bangladesh:
(a) Bangladesh Sugarcrop Research Institute (BSRI) research field in Pabna
(b) BSRI Gazipur Regional Station research field in Gazipur
(c) Farmers' field in Narsingdi
(d) Farmers' field in Natore

Data collection took place between September and October 2023 using two smartphone cameras. All images were labeled and verified by an expert plant pathologist and resized to 224 × 224 pixels.

Researchers and practitioners can use this dataset to develop and evaluate machine learning models for sugarcane leaf disease detection.
DOI: 10.17632/ckwzfg34s9
title: Targeting O-GlcNAcylated METTL3 impedes MDS/AML progression via diminishing SRSF1 m6A modification

description: Raw and processed data files for single-cell RNA-seq, RNA-seq, and m6A-seq, along with the uncropped original Western blot images, have been uploaded as part of this study.The single-cell data were obtained from the public database under accession code phs000159. Annotation and analysis were performed, and the resulting analysis files have been uploaded. Both the RNA-seq and m6A-seq data were generated and completed as part of the experiments conducted in this study.
DOI: 10.17632/ckwzfg34s9.2
title: Targeting O-GlcNAcylated METTL3 impedes MDS/AML progression via diminishing SRSF1 m6A modification

description: Raw and processed data files for single-cell RNA-seq, RNA-seq, and m6A-seq, along with the uncropped original Western blot images, have been uploaded as part of this study.The single-cell data were obtained from the public database under accession code phs000159. Annotation and analysis were performed, and the resulting analysis files have been uploaded. Both the RNA-seq and m6A-seq data were generated and completed as part of the experiments conducted in this study.
DOI: 10.15468/dl.7uj7bp
title: Occurrence Download

description: A dataset containing 43113 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Myiothlypis nigrocristata)",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "License is one of (CC-BY 4.0, CC0 1.0)"
 ]
}

 The dataset includes 43113 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014898-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/43pdh25tpv
title: Data for submission

description: These are used data for paper submission.
DOI: 10.17028/rd.lboro.29828507
title: Supplementary information files for "On the importance of internet access for children’s health and subjective well-being: the case of China"

description: Supplementary files for article: On the importance of internet access for children’s health and subjective well-being: the case of China<br><br>Digital technology is transforming children’s daily routines and can potentially have long-lasting effects on their lives. This paper studies the impact of internet access on the health and subjective wellbeing of Chinese children. To conduct such analysis, we employ data from the China Education Panel Survey (CEPS), a longitudinal dataset of Chinese seventh-year students representative of the whole country. This database allows us to control for unobserved individual heterogeneity and socio-economic characteristics. We use two alternative methods to address endogeneity concerns. The first one employs a recursive system of equations that allows unobserved individual heterogeneity to simultaneously affect both health outcomes and digital access. The second approach exploits the fact that Chinese students cannot choose which school to attend and employ the proportion of students owning a computer in the same school as an instrumental variable. Regardless of the method, we find that internet access improves health. We also find some positive impact of digital access on subjective wellbeing, albeit the evidence is weaker. This stands in stark contrast to prior research, which has found a negative effect of internet use on mental health in Western countries.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17028/rd.lboro.29828507.v1
title: Supplementary information files for "On the importance of internet access for children’s health and subjective well-being: the case of China"

description: Supplementary files for article: On the importance of internet access for children’s health and subjective well-being: the case of China<br><br>Digital technology is transforming children’s daily routines and can potentially have long-lasting effects on their lives. This paper studies the impact of internet access on the health and subjective wellbeing of Chinese children. To conduct such analysis, we employ data from the China Education Panel Survey (CEPS), a longitudinal dataset of Chinese seventh-year students representative of the whole country. This database allows us to control for unobserved individual heterogeneity and socio-economic characteristics. We use two alternative methods to address endogeneity concerns. The first one employs a recursive system of equations that allows unobserved individual heterogeneity to simultaneously affect both health outcomes and digital access. The second approach exploits the fact that Chinese students cannot choose which school to attend and employ the proportion of students owning a computer in the same school as an instrumental variable. Regardless of the method, we find that internet access improves health. We also find some positive impact of digital access on subjective wellbeing, albeit the evidence is weaker. This stands in stark contrast to prior research, which has found a negative effect of internet use on mental health in Western countries.<br><br>© The Author(s), CC BY 4.0
DOI: 10.17632/43pdh25tpv.1
title: Data for submission

description: These are used data for paper submission.
DOI: 10.17632/zvkkk4mzrg
title: MahaKumbh Mela

description: This dataset is based on Indian Tourists who have attended the Mahakumbh Mela 2025 at Praygraj, India. This study explores different factors like crowding, spiritual perception and involvement on Tourist satisfaction and attachment. The study also involves some demographical questions like age, gender, income etc.
DOI: 10.17632/zvkkk4mzrg.1
title: MahaKumbh Mela

description: This dataset is based on Indian Tourists who have attended the Mahakumbh Mela 2025 at Praygraj, India. This study explores different factors like crowding, spiritual perception and involvement on Tourist satisfaction and attachment. The study also involves some demographical questions like age, gender, income etc.
DOI: 10.15468/dl.nphg7q
title: Occurrence Download

description: A dataset containing 850766 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is one of (Human Observation, Machine Observation, Occurrence evidence, Observation)",
 "TaxonKey is one of (Melanitta nigra)",
 "Country is one of (Åland Islands, Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See, Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Republic of, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, Russian Federation, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom of Great Britain and Northern Ireland)"
 ]
}

 The dataset includes 850766 records from 373 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0014857-250802193616735/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/kh6sr76mmh
title: The trade-offs of metaverse value creation. Real-Time-Delphi-based scenario analysis by 2040

description: This study builds on a Real-Time Delphi approach and aims to identify the future scenarios and the potential of metaverse for retailers by 2040. Based on this data we discuss each scenario and its implications for the retail and omnichannel.
DOI: 10.17632/kh6sr76mmh.1
title: The trade-offs of metaverse value creation. Real-Time-Delphi-based scenario analysis by 2040

description: This study builds on a Real-Time Delphi approach and aims to identify the future scenarios and the potential of metaverse for retailers by 2040. Based on this data we discuss each scenario and its implications for the retail and omnichannel.
DOI: 10.17632/3kvpv6xt8h
title: Associations between intakes of food groups recommended by the Dietary Guidelines for Americans and iron status in subsets of the US population: a cross-sectional study

description: To determine how food groups recommended in the Dietary Guidelines for Americans relate to dietary iron intake and iron status in subsets of the US population, multivariate regressions were used to examine associations between Healthy Eating Index (HEI) total and component scores with dietary iron intake and iron status indicators [body iron, ferritin, soluble transferrin receptor, serum iron, transferrin saturation, hemoglobin, hematocrit) in males (12+ y, n=2420), females of reproductive age (12-49 y, n=9757), young children (2-5 y, n=4058), and toddlers (12-23 mo, n=1132) from NHANES 2003-18. Differences in body iron by quintiles of HEI total and composite scores were assessed with least-squared mean regressions. Covariate adjustments included age, ethnicity, body-mass-index, poverty-income-ratio, smoking, and supplemental iron intake. To explore specific foods contributing to associations, the top 3 foods consumed for each HEI component were identified in each analysis subset.
DOI: 10.17632/3kvpv6xt8h.3
title: Associations between intakes of food groups recommended by the Dietary Guidelines for Americans and iron status in subsets of the US population: a cross-sectional study

description: To determine how food groups recommended in the Dietary Guidelines for Americans relate to dietary iron intake and iron status in subsets of the US population, multivariate regressions were used to examine associations between Healthy Eating Index (HEI) total and component scores with dietary iron intake and iron status indicators [body iron, ferritin, soluble transferrin receptor, serum iron, transferrin saturation, hemoglobin, hematocrit) in males (12+ y, n=2420), females of reproductive age (12-49 y, n=9757), young children (2-5 y, n=4058), and toddlers (12-23 mo, n=1132) from NHANES 2003-18. Differences in body iron by quintiles of HEI total and composite scores were assessed with least-squared mean regressions. Covariate adjustments included age, ethnicity, body-mass-index, poverty-income-ratio, smoking, and supplemental iron intake. To explore specific foods contributing to associations, the top 3 foods consumed for each HEI component were identified in each analysis subset.
DOI: 10.17632/z34rm3t7zm
title: Figure 1 for the manuscript of Zhao et al, 2025 Endothelial NAD+-dependent return to quiescence is required for angiogenesis

description: These data represent the results of NAD+ turnover in human umbilical vein endothelial cells (HUVECs). Isotope tracers [2,4,5,6-2H] NAM and [U-13C] glucose were used respectively to study the salvage synthesis of NAD+ in proliferating endothelial cells (PECs), contact-inhibited quiescent endothelial cells (QECs) and ECs transitioning from proliferation to quiescence (PtoQ). We found that QECs and PtoQ ECs displayed enhanced NAD+ turnover compared with PECs. In the experiments, cells were grown in 6-cm dishes and incubated with the growth medium containing [2,4,5,6-2H] NAM (Cambridge Isotope Laboratories, DLM-6883, 40 μM) or U-13C6 glucose (Cambridge Isotope Laboratories, CLM-1396, 10 mM) for NAD+ labeling. After incubation, cells were washed with 37°C saline, and metabolites were extracted by adding 200 μl pre-chilled buffer (40% methanol, 40% acetonitrile, 20% water and 0.5% formic acid). Samples were scraped on dry ice, transferred into a centrifuge tube, neutralized with 15% NH4HCO3, and centrifuged at 16,000 g for 10 min at 4°C. The supernatants were transferred to plastic vials for liquid chromatography-mass spectrometry (LC-MS) analysis. Targeted measurements of NAD+ derivatives were achieved on a quadrupole orbitrap mass spectrometer coupled to a Vanquish UHPLC system (Thermo Fisher Scientific). The data was generated using negative ion mode with a scan range of 65-835 m/z and resolution of 140,000, and normalized by the ratio of labeled tracers to total metabolites.