cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29266525
title: The impact of Naples prognostic score on cognitive impairment in hemodialysis patients: a multicenter study

description: Malnutrition and inflammation are prevalent in hemodialysis (HD) patients and linked to cognitive impairment (CI). Naples prognostic score (NPS) is a comprehensive measure of patients’ inflammation and nutritional status. This study is to evaluate the association of NPS and CI risk in HD patients. Two thousand seven hundred twenty-five HD patients were recruited and NPS score obtained based on albumin, total cholesterol (TC), lymphocytes, neutrophils, and monocytes. Cognitive function was assessed with Mini-Mental State Examination score (MMSE). Logistic regression models, interactive analyses were conducted. Among 2725 HD patients, the prevalence of CI is 33.8%, the mean MMSE score was 26.9 ± 3.9. After adjusting clinical confounders, NPS showed a positive associated with CI both as a continuous variable (OR = 1.120, 95% CI 1.029–1.221, <i>p</i> = 0.009) and as a categorical variable (OR = 1.552, 95%CI: 1.146–2.110, <i>p</i> = 0.005). The analysis revealed a negative correlation between NPS and MMSE scores, observed both as a continuous variable (<i>β</i> = –0.178, 95% CI −0.321 to −0.035, <i>p</i> = 0.015) and as a categorical variable. Higher NPS was significantly associated with increased dementia risk (adjusted OR = 1.153, 95% CI 1.035–1.286, <i>p</i> = 0.010). Among CI patients, the proportion of males was higher than that of females. Subgroup analysis showed that the effect of NPS on CI was more pronounced in individuals under 65 years, without diabetes and cerebrovascular disease (CVD). Except for males, low education level, non-CVD, and HD frequency less than three times per week, the association between NPS and dementia was more significant. NPS was associated with cognitive impairment in HD patients with a positive dose-response effect.
DOI: 10.6084/m9.figshare.29266525.v1
title: The impact of Naples prognostic score on cognitive impairment in hemodialysis patients: a multicenter study

description: Malnutrition and inflammation are prevalent in hemodialysis (HD) patients and linked to cognitive impairment (CI). Naples prognostic score (NPS) is a comprehensive measure of patients’ inflammation and nutritional status. This study is to evaluate the association of NPS and CI risk in HD patients. Two thousand seven hundred twenty-five HD patients were recruited and NPS score obtained based on albumin, total cholesterol (TC), lymphocytes, neutrophils, and monocytes. Cognitive function was assessed with Mini-Mental State Examination score (MMSE). Logistic regression models, interactive analyses were conducted. Among 2725 HD patients, the prevalence of CI is 33.8%, the mean MMSE score was 26.9 ± 3.9. After adjusting clinical confounders, NPS showed a positive associated with CI both as a continuous variable (OR = 1.120, 95% CI 1.029–1.221, <i>p</i> = 0.009) and as a categorical variable (OR = 1.552, 95%CI: 1.146–2.110, <i>p</i> = 0.005). The analysis revealed a negative correlation between NPS and MMSE scores, observed both as a continuous variable (<i>β</i> = –0.178, 95% CI −0.321 to −0.035, <i>p</i> = 0.015) and as a categorical variable. Higher NPS was significantly associated with increased dementia risk (adjusted OR = 1.153, 95% CI 1.035–1.286, <i>p</i> = 0.010). Among CI patients, the proportion of males was higher than that of females. Subgroup analysis showed that the effect of NPS on CI was more pronounced in individuals under 65 years, without diabetes and cerebrovascular disease (CVD). Except for males, low education level, non-CVD, and HD frequency less than three times per week, the association between NPS and dementia was more significant. NPS was associated with cognitive impairment in HD patients with a positive dose-response effect.
DOI: 10.6084/m9.figshare.29266528
title: Development of a convenient and rapid screening zebrafish model to investigate lethal effects and immunocompromised states of uremic toxins

description: Uremia is characterized by high mortality and immune dysfunction owing to the accumulation of uremic toxins. Traditional rodent models are complex and time consuming. This study aimed to develop a simple and rapid zebrafish model for investigating the toxicological effects of uremic toxins. Uremic solutions containing small (SUT) and medium-to-large (MLUT) uremic toxins were prepared using waste solution of peritoneal dialysis by a dialysis method. Wild-type zebrafish larvae were used to assess mortality, whereas transgenic (TG) (zlyz:EGFP) zebrafish, with macrophages labeled with green fluorescent protein, were used to evaluate immune status through macrophage migration assays. The mortality rates were significantly higher in the SUT- and MLUT-treated groups than in the controls, with SUT showing the strongest lethal effect. Macrophage migration was significantly inhibited in both SUT- and MLUT-treated groups, indicating an immunocompromise. This model effectively mimicked the lethal and immunosuppressive effects of uremia. This zebrafish model provides a simple and rapid platform for studying the toxicological effects of uremic toxins and evaluating potential therapeutic interventions.
DOI: 10.6084/m9.figshare.29266528.v1
title: Development of a convenient and rapid screening zebrafish model to investigate lethal effects and immunocompromised states of uremic toxins

description: Uremia is characterized by high mortality and immune dysfunction owing to the accumulation of uremic toxins. Traditional rodent models are complex and time consuming. This study aimed to develop a simple and rapid zebrafish model for investigating the toxicological effects of uremic toxins. Uremic solutions containing small (SUT) and medium-to-large (MLUT) uremic toxins were prepared using waste solution of peritoneal dialysis by a dialysis method. Wild-type zebrafish larvae were used to assess mortality, whereas transgenic (TG) (zlyz:EGFP) zebrafish, with macrophages labeled with green fluorescent protein, were used to evaluate immune status through macrophage migration assays. The mortality rates were significantly higher in the SUT- and MLUT-treated groups than in the controls, with SUT showing the strongest lethal effect. Macrophage migration was significantly inhibited in both SUT- and MLUT-treated groups, indicating an immunocompromise. This model effectively mimicked the lethal and immunosuppressive effects of uremia. This zebrafish model provides a simple and rapid platform for studying the toxicological effects of uremic toxins and evaluating potential therapeutic interventions.
DOI: 10.6084/m9.figshare.29266539
title: When knowledge is not enough: understanding the barriers to sustainable food choices in Italy

description: The actual food system negatively impacts human health and the environment. To promote sustainable food consumption, a cross-sectional survey of 815 Italian adults, representative for age, gender, and geographical areas, explored consumer perceptions and purchasing barriers. Correspondence and cluster analysis were applied. Most respondents identified sustainable foods as having low environmental impact (88.6%), being healthy (81.3%), and locally sourced (81.2%). However, high prices and unclear labelling emerged as key obstacles. The cluster analysis identified four consumer groups. Notably, even the group aware of sustainability issues (Aware consumers with barriers – Cluster 2) still struggled to make sustainable choices due to persistent obstacles. Conversely, a small segment (Ditched consumers – Cluster 1), despite high socio-economic and educational status, showed no interest in sustainability. These results highlight the complex nature of barriers to sustainable consumption, shaped by diverse sociodemographic factors. Tailored strategies are needed to overcome these obstacles and support more sustainable consumer behavior.
DOI: 10.6084/m9.figshare.29266539.v1
title: When knowledge is not enough: understanding the barriers to sustainable food choices in Italy

description: The actual food system negatively impacts human health and the environment. To promote sustainable food consumption, a cross-sectional survey of 815 Italian adults, representative for age, gender, and geographical areas, explored consumer perceptions and purchasing barriers. Correspondence and cluster analysis were applied. Most respondents identified sustainable foods as having low environmental impact (88.6%), being healthy (81.3%), and locally sourced (81.2%). However, high prices and unclear labelling emerged as key obstacles. The cluster analysis identified four consumer groups. Notably, even the group aware of sustainability issues (Aware consumers with barriers – Cluster 2) still struggled to make sustainable choices due to persistent obstacles. Conversely, a small segment (Ditched consumers – Cluster 1), despite high socio-economic and educational status, showed no interest in sustainability. These results highlight the complex nature of barriers to sustainable consumption, shaped by diverse sociodemographic factors. Tailored strategies are needed to overcome these obstacles and support more sustainable consumer behavior.
DOI: 10.6084/m9.figshare.30877022
title: Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning

description: <b>Description:</b>This dataset accompanies a summary literature review titled "Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning." The review synthesizes existing literature to examine the integration and impact of sustainable technologies, specifically Virtual Reality (VR), Artificial Intelligence (AI), and Gamification, within green curricula for enhancing environmental learning and awareness.The uploaded Excel file (<code>[</code>Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning<code>.xlsx]</code>) contains the raw extracted data and summarized characteristics from the analyzed articles. This includes details such as study identification, technologies employed, methodological approaches, key findings, and identified research gaps, providing the foundational evidence for the quantitative summaries and reflexive thematic analysis presented in the associated publication.<b>Key findings supported by this dataset indicate:</b>Sustainable technologies significantly enhance students’ environmental awareness and skills.Effectiveness depends on careful alignment with learning objectives, instructor readiness, contextual factors, and robust evaluation.Critical research gaps exist, including the need for work on underexplored technologies, broader demographic coverage, and longitudinal behavioral studies.This dataset aims to enhance the transparency and reproducibility of the review's findings and can serve as a valuable resource for researchers interested in educational technology, environmental education, and green curricula.<b>Associated Research Article:</b><br>This dataset is directly associated with the research article: "Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning" (forthcoming in [Education Sciences], DOI will be added upon publication).
DOI: 10.6084/m9.figshare.30877022.v1
title: Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning

description: <b>Description:</b>This dataset accompanies a summary literature review titled "Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning." The review synthesizes existing literature to examine the integration and impact of sustainable technologies, specifically Virtual Reality (VR), Artificial Intelligence (AI), and Gamification, within green curricula for enhancing environmental learning and awareness.The uploaded Excel file (<code>[</code>Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning<code>.xlsx]</code>) contains the raw extracted data and summarized characteristics from the analyzed articles. This includes details such as study identification, technologies employed, methodological approaches, key findings, and identified research gaps, providing the foundational evidence for the quantitative summaries and reflexive thematic analysis presented in the associated publication.<b>Key findings supported by this dataset indicate:</b>Sustainable technologies significantly enhance students’ environmental awareness and skills.Effectiveness depends on careful alignment with learning objectives, instructor readiness, contextual factors, and robust evaluation.Critical research gaps exist, including the need for work on underexplored technologies, broader demographic coverage, and longitudinal behavioral studies.This dataset aims to enhance the transparency and reproducibility of the review's findings and can serve as a valuable resource for researchers interested in educational technology, environmental education, and green curricula.<b>Associated Research Article:</b><br>This dataset is directly associated with the research article: "Review of Policy and Practice: VR, AI, Gamification, and Other Technologies for Green Curricula and Environmental Learning" (forthcoming in [Education Sciences], DOI will be added upon publication).
DOI: 10.15468/dl.bb74vc
title: Occurrence Download

description: A dataset containing 112 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.53987 29.77621,120.61182 29.77621,120.61182 30.86361,119.53987 30.86361,119.53987 29.77621))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Gruidae"
 ]
}

 The dataset includes 112 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051094-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5286/isis.e.rb2510393-1
title: Investigation of halogen and hydrogen bonding in polyhalide ions using combined neutron diffraction and Raman spectroscopy

description: Following the conclusion of a facility development project to develop a new sample environment allowing simultaneous in-situ neutron diffraction and Raman spectroscopy, we propose to study the effect of temperature on hydrogen and halogen bonding ammonium polyhalide systems. in and the Raman response at the same time will probe the mechanisms of action in fine details whilst building fundamental knowledge to be used for further calculations on these systems and provide for their incorporation into functional materials
DOI: 10.5286/isis.e.rb2510393
title: Investigation of halogen and hydrogen bonding in polyhalide ions using combined neutron diffraction and Raman spectroscopy

description: Following the conclusion of a facility development project to develop a new sample environment allowing simultaneous in-situ neutron diffraction and Raman spectroscopy, we propose to study the effect of temperature on hydrogen and halogen bonding ammonium polyhalide systems. in and the Raman response at the same time will probe the mechanisms of action in fine details whilst building fundamental knowledge to be used for further calculations on these systems and provide for their incorporation into functional materials
DOI: 10.15468/dl.anftf7
title: Occurrence Download

description: A dataset containing 1079029 species occurrences available in GBIF matching the query:
{
 "and" : [
 "SpeciesKey is one of (Setophaga magnolia)",
 "BasisOfRecord is one of (Human Observation, Observation, Occurrence evidence)",
 "Year is greater than or equal to 1951",
 "Year is less than or equal to 2024",
 "Month is greater than or equal to April",
 "Month is less than or equal to July",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 1079029 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051081-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w8cfqw
title: Occurrence Download

description: A dataset containing 11533 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Lacerta agilis",
 "Country is Germany",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year 1980-2020"
 ]
}

 The dataset includes 11533 records from 126 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051096-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hhhrbd
title: Occurrence Download

description: A dataset containing 3512 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.19806 29.47682,120.72421 29.47682,120.72421 30.99113,119.19806 30.99113,119.19806 29.47682))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phasianidae"
 ]
}

 The dataset includes 3512 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051097-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.bxezw6
title: Occurrence Download

description: A dataset containing 2965 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Portugal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Galemys pyrenaicus, Neomys anomalus, Arvicola sapidus, Microtus cabrerae, Microtus rozianus, Mustela erminea, Mustela putorius, Lutra lutra)",
 "Year 2000-2025"
 ]
}

 The dataset includes 2965 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051099-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xfzaka
title: Occurrence Download

description: A dataset containing 52475 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Tracheophyta",
 "DecimalLatitude is greater than or equal to 49.085278",
 "DecimalLatitude is less than or equal to 54.085278",
 "DecimalLongitude is greater than or equal to 155.0",
 "DecimalLongitude is less than or equal to 160.0",
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE"
 ]
}

 The dataset includes 52475 records from 73 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051088-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.24417661
title: Key Notes from the Interview.pdf

description: Interviews with project managers from different organisations to sort out barriers and expectations of young minorities, as well as potential strategies of engagement.
DOI: 10.6084/m9.figshare.24417661.v1
title: Key Notes from the Interview.pdf

description: Interviews with project managers from different organisations to sort out barriers and expectations of young minorities, as well as potential strategies of engagement.
DOI: 10.5281/zenodo.17913627
title: Dataset for: Accidental self-ignition of hydrogen released from pressurized cylinder (Figures 7–9)

description: Figure 7: pressure drop during hydrogen release (Time [s], Pressure n.1 [bar], Pressure n.2 [bar])

Figure 8: hydrogen release with subsequent spark ignition (Time [s], Temperature [°C])

Figure 9: hydrogen release without ignition (Time [s], Temperature [°C])
DOI: 10.5281/zenodo.17913628
title: Dataset for: Accidental self-ignition of hydrogen released from pressurized cylinder (Figures 7–9)

description: Figure 7: pressure drop during hydrogen release (Time [s], Pressure n.1 [bar], Pressure n.2 [bar])

Figure 8: hydrogen release with subsequent spark ignition (Time [s], Temperature [°C])

Figure 9: hydrogen release without ignition (Time [s], Temperature [°C])
DOI: 10.15468/dl.27cu2n
title: Occurrence Download

description: A dataset containing 329661 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Presbytis robinsoni, Presbytis siamensis, Prionailurus bengalensis, Prionailurus rubiginosus, Prionodon linsang, Prionodon pardicolor, Procapra picticaudata, Proedromys bedfordi, Proedromys liangshanensis, Pseudois nayaur, Pseudoryx nghetinhensis, Pteromyscus pulverulentus, Pteropus hypomelanus, Pteropus intermedius, Pteropus lylei, Pteropus medius, Pteropus vampyrus, Ptilocercus lowii, Pygathrix cinerea, Pygathrix nemaeus, Pygathrix nigripes, Rattus andamanensis, Rattus annandalei, Rattus argentiventer, Rattus exulans, Rattus losea, Rattus nitidus, Rattus norvegicus, Rattus osgoodi, Rattus pyctoris)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 2000",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 329661 records from 1044 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051093-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14131749
title: Car Market Insights Dataset
DOI: 10.15468/dl.t7cb3p
title: Occurrence Download

description: A dataset containing 582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((119.45247 29.68166,120.83503 29.68166,120.83503 30.90967,119.45247 30.90967,119.45247 29.68166))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Ericaceae"
 ]
}

 The dataset includes 582 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0051100-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30876998.v1
title: <b>DOCK11 Deficiency in Zebrafish Disrupts Embryogenesis: Insights into the Genetic Causes of Early Pregnancy Loss</b>

description: We first characterized the spatiotemporal expression profile of <i>d</i><i>ock11</i>, finding its mRNA to be dynamically expressed, with a pronounced peak at 5 hours post-fertilization —a stage immediately preceding the onset of gastrulation that is critical for establishing the molecular patterns underlying subsequent cell fate determination. We therefore conducted transcriptomic profiling at this critical stage. RNA-seq analysis revealed extensive dysregulation in <i>dock11</i> morphants, with 796 upregulated and 243 downregulated.
DOI: 10.5281/zenodo.17912569
title: Forest Inspection Dataset - Overcast sequences

description: This dataset provides high-resolution RGB images and corresponding pixel-level semantic segmentation labels generated from a photorealistic virtual forest environment in Unreal Engine 4. Designed for UAV-based monitoring, the dataset captures diverse forest elements (deciduous trees, coniferous trees, fallen trees, ground vegetation) under varied altitudes and pitch angles to simulate real surveillance missions. It includes 11 semantic classes and supports tasks such as semantic segmentation, deforestation analysis, and forest canopy mapping. Metadata on camera poses is included for advanced spatial tasks.

This version contains the Overcast scenario sequences.