cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.12703964
title: Dataset for Highly sensitive gas and ethanol vapor sensors based on carbon heterostructures for room temperature detection

description: Dataset for article: Highly sensitive gas and ethanol vapor sensors based on carbon heterostructures for room temperature detection

ABSTRACT: Graphene oxides (GOs) and hydrogen-terminated nanocrystalline diamonds (H‑NCD) have attracted considerable attention due to their unique electronic structure and extraordinary physical and chemical properties in various applications, including gas sensing. Currently, there is a significant focus on air quality and the presence of pollutants (NH3, NO2 etc.), as well as volatile organic compounds (VOC) such as ethanol vapor from industry. This study examines the synthesis of GO, reduced graphene oxide (rGO), thiol-functionalized graphene oxide (SH‑GO), and H‑NCD thin films and their combination in heterostructures. The materials were analyzed for their ability to detect NO₂, NH₃, and ethanol vapor at room temperature (22 °C). Among the tested materials, the SH-GO / H‑NCD heterostructure exhibited the highest sensitivity, with approximately 630 % for ethanol vapor, 41 % for NH3 and −19 % for NO2. The SH-GO / H‑NCD heterostructure also demonstrated reasonable response (272 seconds) and recovery (34 seconds) times. Cross-selectivity measurements revealed that the heterostructure's response to ethanol vapor at 100 ppm remained dominant and was minimally affected by the presence of NH₃ (100 ppm) or CO₂ (100 ppm). The response variations were −1.3 % for NO₂ and 2.4 % for NH₃, respectively. These findings suggest that this heterostructure has the potential to be used as an active layer in low-temperature gas sensors. Furthermore, this research proposes a primary mechanism that explains the enhanced sensor response of the heterostructure compared to bare GOs and H‑NCD layers.
DOI: 10.5281/zenodo.12703965
title: Dataset for Highly sensitive gas and ethanol vapor sensors based on carbon heterostructures for room temperature detection

description: Dataset for article: Highly sensitive gas and ethanol vapor sensors based on carbon heterostructures for room temperature detection

ABSTRACT: Graphene oxides (GOs) and hydrogen-terminated nanocrystalline diamonds (H‑NCD) have attracted considerable attention due to their unique electronic structure and extraordinary physical and chemical properties in various applications, including gas sensing. Currently, there is a significant focus on air quality and the presence of pollutants (NH3, NO2 etc.), as well as volatile organic compounds (VOC) such as ethanol vapor from industry. This study examines the synthesis of GO, reduced graphene oxide (rGO), thiol-functionalized graphene oxide (SH‑GO), and H‑NCD thin films and their combination in heterostructures. The materials were analyzed for their ability to detect NO₂, NH₃, and ethanol vapor at room temperature (22 °C). Among the tested materials, the SH-GO / H‑NCD heterostructure exhibited the highest sensitivity, with approximately 630 % for ethanol vapor, 41 % for NH3 and −19 % for NO2. The SH-GO / H‑NCD heterostructure also demonstrated reasonable response (272 seconds) and recovery (34 seconds) times. Cross-selectivity measurements revealed that the heterostructure's response to ethanol vapor at 100 ppm remained dominant and was minimally affected by the presence of NH₃ (100 ppm) or CO₂ (100 ppm). The response variations were −1.3 % for NO₂ and 2.4 % for NH₃, respectively. These findings suggest that this heterostructure has the potential to be used as an active layer in low-temperature gas sensors. Furthermore, this research proposes a primary mechanism that explains the enhanced sensor response of the heterostructure compared to bare GOs and H‑NCD layers.
DOI: 10.15468/dl.qkadjm
title: Occurrence Download

description: A dataset containing 5683 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Dataset of diatoms in Dutch moorland pools: 1916 - 2022"
 ]
}

 The dataset includes 5683 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003036-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zh5erz
title: Occurrence Download

description: A dataset containing 168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Aricia agestis (Denis & Schiffermüller), 1775"
 ]
}

 The dataset includes 168 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003038-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sfymtx
title: Occurrence Download

description: A dataset containing 14 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex remota L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 14 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003039-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14899448
title: Dataset for "Thermally-induced release of arsenic from minerals and phases relevant to polluted natural systems affected by wildfires"

description: This is a companion dataset and supplementary information to the paper by Tuhý et al. 2025, Appl. Geochem. https://doi.org/10.1016/j.apgeochem.2025.106318. 

This study received funding from the Czech Science Foundation (Project No. 23-06344O) and the Johannes Amos Comenius Programme (P JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks.

The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). 

This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).

The dataset contains the following parts:



Sheet 1 Data used to plot the emission curves and the retained mass of the experiments.

Sheet 2 Data used to plot the diffractograms.
DOI: 10.5281/zenodo.14899449
title: Dataset for "Thermally-induced release of arsenic from minerals and phases relevant to polluted natural systems affected by wildfires"

description: This is a companion dataset and supplementary information to the paper by Tuhý et al. 2025, Appl. Geochem. https://doi.org/10.1016/j.apgeochem.2025.106318. 

This study received funding from the Czech Science Foundation (Project No. 23-06344O) and the Johannes Amos Comenius Programme (P JAC), project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks.

The dataset is published under the Creative Commons Attribution 4.0 International License (CC-BY-4.0). 

This license allows others to distribute, remix, adapt, and build upon the dataset for any purpose, even commercially, as long as they give appropriate credit to the original creator(s).

The dataset contains the following parts:



Sheet 1 Data used to plot the emission curves and the retained mass of the experiments.

Sheet 2 Data used to plot the diffractograms.
DOI: 10.5281/zenodo.14900018
title: Association Between Helicobacter pylori Infection and Non-Alcoholic Fatty Liver Disease: A Meta-Analysis of Prevalence and Risk Factors With Artificial Intelligence-Assisted Bias Assessment

description: This meta-analysis systematically investigates the association between Helicobacter pylori (H. pylori) infection and non-alcoholic fatty liver disease (NAFLD) in terms of prevalence and risk factors. This study innovatively employs artificial intelligence (AI) for bias assessment during the systematic review process, enhancing the methodological rigor. Analyzing 23 observational studies encompassing over 220,000 participants, the meta-analysis reveals a significant positive association between H. pylori infection and NAFLD. Subgroup analyses and sensitivity analyses further support this finding. The integration of AI in bias assessment represents a novel approach in meta-analysis methodology. These findings suggest a potential link between H. pylori infection and increased NAFLD risk, warranting further research into causal mechanisms and clinical implications.
DOI: 10.5281/zenodo.14900019
title: Association Between Helicobacter pylori Infection and Non-Alcoholic Fatty Liver Disease: A Meta-Analysis of Prevalence and Risk Factors With Artificial Intelligence-Assisted Bias Assessment

description: This meta-analysis systematically investigates the association between Helicobacter pylori (H. pylori) infection and non-alcoholic fatty liver disease (NAFLD) in terms of prevalence and risk factors. This study innovatively employs artificial intelligence (AI) for bias assessment during the systematic review process, enhancing the methodological rigor. Analyzing 23 observational studies encompassing over 220,000 participants, the meta-analysis reveals a significant positive association between H. pylori infection and NAFLD. Subgroup analyses and sensitivity analyses further support this finding. The integration of AI in bias assessment represents a novel approach in meta-analysis methodology. These findings suggest a potential link between H. pylori infection and increased NAFLD risk, warranting further research into causal mechanisms and clinical implications.
DOI: 10.15468/dl.byjstv
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex tomentosa L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003040-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.37vckf
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus communis L.",
 "Geometry POLYGON((-4.82865848558222 55.9397538046687, -3.81356221452717 55.9397538046687, -3.81356221452717 56.5595913507111, -4.82865848558222 56.5595913507111, -4.82865848558222 55.9397538046687))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 291 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003041-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.liygrvjt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.5281/zenodo.14899934
title: Less Reactogenic Whole-Cell Pertussis Vaccine Confers Protection From reactogenic whole-cell pertussis vaccine confers protection from Bordetella pertussis Infection
DOI: 10.5281/zenodo.14899935
title: Less Reactogenic Whole-Cell Pertussis Vaccine Confers Protection From reactogenic whole-cell pertussis vaccine confers protection from Bordetella pertussis Infection
DOI: 10.5519/qd.lb8961ba
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (18 records)
DOI: 10.15468/dl.qkq4xn
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex umbrosa Host",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 10 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003042-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ugdrsh
title: Occurrence Download

description: A dataset containing 2 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Plebejus idas (Linnaeus, 1761)"
 ]
}

 The dataset includes 2 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003043-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hut4kc
title: Occurrence Download

description: A dataset containing 27110 species occurrences available in GBIF matching the query:
{
 "PublishingOrg" : [
 "is ef807e08-c954-487f-9e70-3cc75f173812"
 ]
}

 The dataset includes 27110 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003044-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14899949
title: Images generated during the amplitude laser testing.

description: The dataset includes:1. Laser autocorrelation measurement2. Intensity test as laser power function3. SHG, THG and scattering images of starch and rat muscle section
DOI: 10.5281/zenodo.14899950
title: Images generated during the amplitude laser testing.

description: The dataset includes:1. Laser autocorrelation measurement2. Intensity test as laser power function3. SHG, THG and scattering images of starch and rat muscle section
DOI: 10.15468/dl.9gpcy5
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Carex vesicaria L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003045-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.48qxkc
title: Occurrence Download

description: A dataset listing the 137 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Sweden",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cicadidae, Orthoptera)"
 ]
}

 The dataset's 137 records were derived from 29 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003034-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mtwrsu
title: Occurrence Download

description: A dataset listing the 87 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Norway",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cicadidae, Orthoptera)"
 ]
}

 The dataset's 87 records were derived from 32 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003035-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fujj77
title: Occurrence Download

description: A dataset listing the 168 species recorded in GBIF matching the query:
{
 "and" : [
 "Country is Poland",
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Cicadidae, Orthoptera)"
 ]
}

 The dataset's 168 records were derived from 30 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003037-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9x3j3s
title: Occurrence Download

description: A dataset containing 291 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Juniperus communis L.",
 "Geometry POLYGON((-4.82865848558222 55.9397538046687, -3.81356221452717 55.9397538046687, -3.81356221452717 56.5595913507111, -4.82865848558222 56.5595913507111, -4.82865848558222 55.9397538046687))",
 "CoordinateUncertaintyInMeters is 0,101",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 291 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003046-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p5kau4
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Catabrosa aquatica (L.) P.Beauv.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 20 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003047-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ftc7tw
title: Occurrence Download

description: A dataset containing 4844 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is Madagascar",
 "TaxonKey is Helichrysum Mill."
 ]
}

 The dataset includes 4844 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003048-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ty6adk
title: Occurrence Download

description: A dataset containing 3 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Maculinea nausithous (Bergstrasser, 1779)"
 ]
}

 The dataset includes 3 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003049-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.czcxilwq
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (57 records)
DOI: 10.15468/dl.hvrg33
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Celtis australis L.",
 "Geometry POLYGON((-4.57907617500001 39.884719509, -4.57907617500001 41.165844755, -3.05298331400002 41.165844755, -3.05298331400002 39.884719509, -4.57907617500001 39.884719509))"
 ]
}

 The dataset includes 939 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003050-250218110819086/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14625084
title: Owl pellet content analysis proves an effective technique to monitor a population of threatened Julia Creek dunnarts (Sminthopsis douglasi) throughout a native rodent plague.

description: This dataset consists of the raw results from owl pellet content analysis conducted at Toorak station, north-western Queensland, Australia as part of monitoring for the Julia Creek dunnart (Sminthopsis douglasi).

Other files include input files for probability of detection analysis ran in the present study, using the R code files where applicable.

For more information see the manuscript/article: https://doi.org/10.1002/ece3.70922

 

Abstract:

Logistical, environmental and temporal considerations can limit the effectiveness of long-term live trapping for small mammals in remote environments. Owl pellet content analysis offers a low-cost, non-invasive alternative to live trapping, as it is generally reflective of prey abundance within the broader small mammal community. One species to which this detection technique could be readily applied is the threatened Australian dasyurid, the Julia Creek dunnart, Sminthopsis douglasi. Most population information is outdated, and the species is notoriously difficult to monitor. Here, we aimed to monitor Sminthopsis douglasi and other small terrestrial vertebrates over time and in relation to a native long-haired rat (Rattus villosissimus) plague, assessing their occurrence as dietary items in eastern barn owl (Tyto javanica delicatula) pellets collected at Toorak, north-west Queensland, Australia. A total of 1007 individual vertebrates were identified from 706 barn owl pellets spanning three present-day collections (2023-2024), with further analysis incorporating a prior published historical dataset (1994-2001, 210 pellets). We demonstrated a shift in Toorak small mammal community structure both over time and in response to an active Rattus villosissimus plague. Despite declines across present-day pellet collections, Sminthopsis douglasi was always detected in high abundance, peaking at 30.75% of all individuals. Cumulative probability of detection indicated that analysis of owl pellets was highly effective at detecting Sminthopsis douglasi (within 20 pellets) despite the ongoing rodent plague, which has undermined the effectiveness of parallel live trapping efforts across the region. Owl pellet analysis is thus an effective methodology for rapidly assessing Sminthopsis douglasi populations and should be incorporated into both Sminthopsis douglasi and other small mammal species monitoring regimes.