cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.15544833
title: De novo genome assembly of Mayetiola hordei (barley strain) using MEGAHIT and RaGOO

description: This dataset contains a high-quality genome assembly of *Mayetiola hordei* (barley strain), an economically significant insect pest of cereal crops. The genome was assembled using Illumina paired-end sequencing data (SRA: SRX049256), processed with MEGAHIT and scaffolded with RaGOO using *Mayetiola destructor* (Mdes_1.0, GenBank: GCA_000149185.1) as reference. 

Assembly statistics:- Total length: 136.87 Mb- Number of contigs: 2,570- N50: 1.42 Mb- GC content: 32.26%- Largest contig: 26 Mb

Completeness was assessed with BUSCO (insecta_odb10), showing 93.2% complete genes.

This assembly provides a useful genomic resource for studying host-pest interactions, barley resistance, and comparative genomics within the Cecidomyiidae family.
DOI: 10.5281/zenodo.15544834
title: De novo genome assembly of Mayetiola hordei (barley strain) using MEGAHIT and RaGOO

description: This dataset contains a high-quality genome assembly of *Mayetiola hordei* (barley strain), an economically significant insect pest of cereal crops. The genome was assembled using Illumina paired-end sequencing data (SRA: SRX049256), processed with MEGAHIT and scaffolded with RaGOO using *Mayetiola destructor* (Mdes_1.0, GenBank: GCA_000149185.1) as reference. 

Assembly statistics:- Total length: 136.87 Mb- Number of contigs: 2,570- N50: 1.42 Mb- GC content: 32.26%- Largest contig: 26 Mb

Completeness was assessed with BUSCO (insecta_odb10), showing 93.2% complete genes.

This assembly provides a useful genomic resource for studying host-pest interactions, barley resistance, and comparative genomics within the Cecidomyiidae family.
DOI: 10.15468/dl.fgshbv
title: Occurrence Download

description: A dataset containing 9 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Lichen herbarium (H): Type specimens of lichen-forming fungi",
 "Country is Croatia"
 ]
}

 The dataset includes 9 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006657-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zyepme
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Nyctereutes procyonoides (Gray, 1834)"
 ]
}

 The dataset includes 130 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013339-250515123054153/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17642032
title: Subset of EURO-CORDEX-CMIP6 HCLIM43-ALADIN simulations over Swedish domains

description: This dataset contains EURO-CORDEX-CMIP6 dynamical downscaling simulations produced with the HCLIM regional climate modelling system. Three CMIP6 GCMs are used as boundary conditions: CNRM-ESM2-1, MPI-ESM1-2-HR, and MIROC6. All simulations are provided at 12.5 km spatial resolution.

The dataset covers





Historical period: 1951–2014




Future period: 2015–2100 under SSP1-2.6 and SSP3-7.0




ERA5 reference dataset: 1980–2021



Domains

The following sub-domains over Sweden are included:





Stockholm: 18.02°E–18.12°E, 59.27°N–59.37°N




Gothenburg: 11.94°E–12.04°E, 57.60°N–57.73°N




Malmö: 12.90°E–13.10°E, 55.55°N–55.65°N




Kiruna: 20.18°E–20.28°E, 67.65°N–68.05°N



Variables

All variables are provided at 1-hour and monthly resolution:





rsds: Surface downward short-wave radiation (W/m²)




rsdsdir: Direct downward short-wave radiation (W/m²)




prsn: Snowfall rate (kg m⁻² s⁻¹ or mm/s)




tas: Near-surface air temperature (K)
DOI: 10.5281/zenodo.17642031
title: Subset of EURO-CORDEX-CMIP6 HCLIM43-ALADIN simulations over Swedish domains

description: This dataset contains EURO-CORDEX-CMIP6 dynamical downscaling simulations produced with the HCLIM regional climate modelling system. Three CMIP6 GCMs are used as boundary conditions: CNRM-ESM2-1, MPI-ESM1-2-HR, and MIROC6. All simulations are provided at 12.5 km spatial resolution.

The dataset covers





Historical period: 1951–2014




Future period: 2015–2100 under SSP1-2.6 and SSP3-7.0




ERA5 reference dataset: 1980–2021



Domains

The following sub-domains over Sweden are included:





Stockholm: 18.02°E–18.12°E, 59.27°N–59.37°N




Gothenburg: 11.94°E–12.04°E, 57.60°N–57.73°N




Malmö: 12.90°E–13.10°E, 55.55°N–55.65°N




Kiruna: 20.18°E–20.28°E, 67.65°N–68.05°N



Variables

All variables are provided at 1-hour and monthly resolution:





rsds: Surface downward short-wave radiation (W/m²)




rsdsdir: Direct downward short-wave radiation (W/m²)




prsn: Snowfall rate (kg m⁻² s⁻¹ or mm/s)




tas: Near-surface air temperature (K)
DOI: 10.15468/dl.zyqrzb
title: Occurrence Download

description: A dataset containing 130 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.6188 28.19913, -112.4688 28.19913, -112.4688 28.34913, -112.6188 28.34913, -112.6188 28.19913))"
 ]
}

 The dataset includes 130 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045193-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vpqef5
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Neophacidium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045194-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17650062
title: Data and Code from: Drought response is not a species trait: tropical tree drought sensitivity is shaped by drought characteristics, species adaptations, and individual microenvironments

description: Sensitivity of tree growth to drought using dendrometer band records from Huai Kha Khaeng ForestGEO plot, Thailand
DOI: 10.5281/zenodo.17023233
title: FOODITY_Dataset2_Images_FoodWasteQuantification_v0.1

description: This dataset contains food waste measurements with corresponding images designed for computer vision-based food waste quantification research. Each record includes precise physical measurements (weight, height, volume, density) paired with high-resolution images of food waste items. The dataset enables research in automated food waste detection, volume estimation, and density analysis across different food categories. 

Foodity dalake link: https://fooditydl.e-citiz.com/dataset/657
DOI: 10.5281/zenodo.17023232
title: FOODITY_Dataset2_Images_FoodWasteQuantification_v0.1

description: This dataset contains food waste measurements with corresponding images designed for computer vision-based food waste quantification research. Each record includes precise physical measurements (weight, height, volume, density) paired with high-resolution images of food waste items. The dataset enables research in automated food waste detection, volume estimation, and density analysis across different food categories. 

Foodity dalake link: https://fooditydl.e-citiz.com/dataset/657
DOI: 10.15468/dl.vv4h25
title: Occurrence Download

description: A dataset containing 636 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "TaxonKey is Phyllostachys nidularia"
 ]
}

 The dataset includes 636 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045195-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/vczzte
title: Dorpsstraat 33 Schoonrewoerd Plangebied Dorpsstraat 33 te Schoonrewoerd, Gemeente Vijfheerenlanden. Een Proefsleuvenonderzoek - variant Archeologische Begeleiding

description: &lt;p&gt;Aan de Dorpsstraat 33 te Schoonrewoerd is op 1 mei 2024 een Inventariserend Veldonderzoek door middel van proefsleuven – variant Archeologische Begeleiding uitgevoerd. Het doel van het onderzoek was hoofdzakelijk om de bodemopbouw van de opgeworpen terp waarop de historische kern van Schoonrewoerd is gelegen te bekijken en documenteren, en om uit te sluiten dat er aan deze zijde van de kerk geen restanten van (geruimde) graven aanwezig zijn geweest. Binnen het plangebied zijn restanten van een puinfundering van een oude schuur aangetroffen. Deze schuur is circa 40 jaar geleden gesloopt. De ouderdom van deze schuur kon aan de hand van de restanten niet achterhaald worden. Daarnaast zijn er twee ophogingspakketten waargenomen welke tot de terp van Schoonrewoerd behoren. Deze ophogingslagen zijn niet meer intact, maar kunnen aan de hand van het vondstmateriaal worden gedateerd vanaf de Late Middeleeuwen tot en met de Nieuwe tijd. Als laatste zijn er enkele recente verstoringen in de vorm van nutsvoorzieningen aangetroffen. Deze zijn zeer waarschijnlijk geplaatst bij de laatste uitbreiding van het kerkelijk centrum, welke 40 jaar geleden is aangebouwd. Op basis van de uitkomsten van het Inventariserend Veldonderzoek door middel van proefsleuven – variant Archeologische Begeleiding concludeert Vestigia Archeologie & Cultuurhistorie voor het plangebied Dorpsstraat 33 te Schoonrewoerd dat er geen behoudenswaardige vindplaats aanwezig is en dat men de bouwwerkzaamheden kan vervolgen. Het bevoegd gezag van de gemeente Vijfheerenlanden heeft dit advies op basis van het eerste veldverslag overgenomen.&lt;/p&gt;
DOI: 10.5281/zenodo.15673159
title: Constraining the intensive absorption properties of ambient organic aerosol particles based on pan-European observations.

description: Chamber and field experiments have shown that organic aerosol particles (OA) can absorb solar radiation with varying efficiencies depending on their chemical composition and physical properties. This complex collection of light-absorbing organic molecules, often referred to as brown carbon (BrC), cannot easily be represented in climate models. Indeed, despite the many laboratory and field studies seeking to constrain BrC absorption through its mass absorption cross section (MACOA) or imaginary refractive index (kOA), the climate effect of BrC remains uncertain. The reported high variability of MACOA and kOA of BrC is associated with differences in experiments conducted and analytic methodologies, e.g. the organic mass to which the BrC absorption is attributed, the fuel studied, and combustion conditions. Moreover, experiments designed to study specific BrC particles from specific sources often fail to fully represent the absorptive properties of bulk OA at ambient conditions. Thus, a better understanding of real-world absorption properties of OA particles is essential. Here we studied the light absorption properties of surface ambient OA at 17 measurement sites in Europe. We present the MACOA of OA and its wavelength dependence (AAEOA), the density of OA (⍴OA) and the MACOA of different primary and secondary OA sources and compare the obtained set of information with recently published estimations. We also propose a series of parameterizations describing the relationships between MACOA, AAEOA and ⍴OA with the ambient measurements of the BC/OA ratio. Similar parameterization is also provided for the kOA that was estimated based on the available ambient data. Given that BC and OA (or OC) are routinely measured at many sites worldwide, these measurements can be used in the framework presented here to estimate the absorptive properties of surface OA particles at ambient conditions.
DOI: 10.5281/zenodo.15174593
title: Constraining the intensive absorption properties of ambient organic aerosol particles based on pan-European observations.

description: Chamber and field experiments have shown that organic aerosol particles (OA) can absorb solar radiation with varying efficiencies depending on their chemical composition and physical properties. This complex collection of light-absorbing organic molecules, often referred to as brown carbon (BrC), cannot easily be represented in climate models. Indeed, despite the many laboratory and field studies seeking to constrain BrC absorption through its mass absorption cross section (MACOA) or imaginary refractive index (kOA), the climate effect of BrC remains uncertain. The reported high variability of MACOA and kOA of BrC is associated with differences in experiments conducted and analytic methodologies, e.g. the organic mass to which the BrC absorption is attributed, the fuel studied, and combustion conditions. Moreover, experiments designed to study specific BrC particles from specific sources often fail to fully represent the absorptive properties of bulk OA at ambient conditions. Thus, a better understanding of real-world absorption properties of OA particles is essential. Here we studied the light absorption properties of surface ambient OA at 17 measurement sites in Europe. We present the MACOA of OA and its wavelength dependence (AAEOA), the density of OA (⍴OA) and the MACOA of different primary and secondary OA sources and compare the obtained set of information with recently published estimations. We also propose a series of parameterizations describing the relationships between MACOA, AAEOA and ⍴OA with the ambient measurements of the BC/OA ratio. Similar parameterization is also provided for the kOA that was estimated based on the available ambient data. Given that BC and OA (or OC) are routinely measured at many sites worldwide, these measurements can be used in the framework presented here to estimate the absorptive properties of surface OA particles at ambient conditions.
DOI: 10.5281/zenodo.17035556
title: FOODITY_Dataset3_AfterMealComments_v0.1

description: This dataset contains anonymized user feedback data collected after meals, designed for research in food waste behavior analysis, sentiment analysis, and meal satisfaction patterns. The dataset includes appetite levels, food waste indicators, sentiment and emotion analysis on natural language comments, and detailed reasons for food waste incidents.

Foodity datalake link:https://fooditydl.e-citiz.com/dataset/655
DOI: 10.5281/zenodo.17035555
title: FOODITY_Dataset3_AfterMealComments_v0.1

description: This dataset contains anonymized user feedback data collected after meals, designed for research in food waste behavior analysis, sentiment analysis, and meal satisfaction patterns. The dataset includes appetite levels, food waste indicators, sentiment and emotion analysis on natural language comments, and detailed reasons for food waste incidents.

Foodity datalake link:https://fooditydl.e-citiz.com/dataset/655
DOI: 10.15468/dl.a7h2zc
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pyrgus cirsii",
 "HasCoordinate is true",
 "Geometry POLYGON ((6.224439 46.56151, 6.224439 48.43216, 8.984551 48.43216, 8.984551 46.56151, 6.224439 46.56151))",
 "Year is greater than or equal to 2020",
 "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/0045197-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17571794
title: Data and code for "Forest or machine? Public perceptions and acceptability of negative emissions technologies and practices across six European countries"

description: This repository contains the data used in the paper "Lee, C. Y., Perlaviciute, G., & Steg, L. (2025). Forest or machine? Public perceptions and acceptability of negative emissions technologies and practices across six European countries. Climatic Change, 178(11), 188."

It contains:



Dataset for the public survey

R script for the main analysis

R script for the analysis in the appendix
DOI: 10.5281/zenodo.17571793
title: Data and code for "Forest or machine? Public perceptions and acceptability of negative emissions technologies and practices across six European countries"

description: This repository contains the data used in the paper "Lee, C. Y., Perlaviciute, G., & Steg, L. (2025). Forest or machine? Public perceptions and acceptability of negative emissions technologies and practices across six European countries. Climatic Change, 178(11), 188."

It contains:



Dataset for the public survey

R script for the main analysis

R script for the analysis in the appendix
DOI: 10.15468/dl.5v4t8w
title: Occurrence Download

description: A dataset containing 256 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.4688 28.19913, -112.3188 28.19913, -112.3188 28.34913, -112.4688 28.34913, -112.4688 28.19913))"
 ]
}

 The dataset includes 256 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045196-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17035553
title: FOODITY_Dataset4_DailyFoodWasteMeasurements_v0.1

description: This dataset contains comprehensive daily measurements of food waste occurrences and volumes collected from canteen operations. It combines computer vision-based food waste detection with environmental sensors and weather data to provide a holistic view of food waste patterns over time. The dataset is designed for research in food waste analytics, temporal pattern analysis, and environmental correlation studies.

Foodity datalake link: https://fooditydl.e-citiz.com/dataset/656
DOI: 10.5281/zenodo.17035554
title: FOODITY_Dataset4_DailyFoodWasteMeasurements_v0.1

description: This dataset contains comprehensive daily measurements of food waste occurrences and volumes collected from canteen operations. It combines computer vision-based food waste detection with environmental sensors and weather data to provide a holistic view of food waste patterns over time. The dataset is designed for research in food waste analytics, temporal pattern analysis, and environmental correlation studies.

Foodity datalake link: https://fooditydl.e-citiz.com/dataset/656
DOI: 10.15468/dl.y9285q
title: Occurrence Download

description: A dataset containing 3832 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ascodichaena",
 "HasCoordinate is true"
 ]
}

 The dataset includes 3832 records from 102 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045198-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.q5qxws
title: Occurrence Download

description: A dataset containing 341 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((-112.3188 28.19913, -112.1688 28.19913, -112.1688 28.34913, -112.3188 28.34913, -112.3188 28.19913))"
 ]
}

 The dataset includes 341 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045199-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2gp3f8
title: Occurrence Download

description: A dataset containing 2733 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ursinia anthemoides",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2733 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0045201-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17649831
title: Comparison of biodegradable polycaprolactone nanofibers and synthetic polyamide nanofibers as a novel, sustainable sorbent for a spin filter microextraction of xenobiotics from river water

description: Dataset to publication "Comparison of biodegradable polycaprolactone nanofibers and synthetic polyamide nanofibers as a novel, sustainable sorbent for a spin filter microextraction of xenobiotics from river water". Data can be open in Shimadzu Labsolutions software.
DOI: 10.5281/zenodo.17649830
title: Comparison of biodegradable polycaprolactone nanofibers and synthetic polyamide nanofibers as a novel, sustainable sorbent for a spin filter microextraction of xenobiotics from river water

description: Dataset to publication "Comparison of biodegradable polycaprolactone nanofibers and synthetic polyamide nanofibers as a novel, sustainable sorbent for a spin filter microextraction of xenobiotics from river water". Data can be open in Shimadzu Labsolutions software.
DOI: 10.6084/m9.figshare.30656720
title: Dataset from the Sentiment Analysis Study of the 7th Legislative Assembly of Macao

description: Emotional Bridges in Hybrid Democracy: Sentiment Analysis of Public Opinion Transmission in Macau's Legislative Assembly
DOI: 10.6084/m9.figshare.30656720.v1
title: Dataset from the Sentiment Analysis Study of the 7th Legislative Assembly of Macao

description: Emotional Bridges in Hybrid Democracy: Sentiment Analysis of Public Opinion Transmission in Macau's Legislative Assembly
DOI: 10.6084/m9.figshare.28640168
title: Shift in soil fauna feeding mode with litter quality across global forests (Tsurikov et al.)

description: Soil fauna regulates litter decomposition and soil organic matter transformation, acting as both litter and microbial feeders. Whether these feeding modes shift along environmental gradients remains unclear. We tested if microbivory increases with decreasing litter quality and in colder climates, both factors limiting detritus digestion by fauna. Using stable isotope composition (δ<sup>13</sup>C, δ<sup>15</sup>N) of 7,408 soil invertebrate samples from 228 forest sites across temperate to tropical biomes, we determined δ<sup>15</sup>N values are positively associated with litter C:N ratio and mean annual temperature, indicating a shift from detritivory toward microbivory under low litter quality with additional modulation by climate. In contrast, δ<sup>13</sup>C values showed no consistent association with litter C:N ratio or climate, reflecting context dependent microbial carbon routing. Our findings highlight litter quality as the primary driver of the detritivory-to-microbivory shift in soil fauna, with implications for predicting changes in climate and plant communities on carbon cycling in terrestrial ecosystems
DOI: 10.6084/m9.figshare.28640168.v1
title: Data associated to the paper: Detritivory to microbivory shift in soil invertebrates with decreasing litter quality (Tsurikov et al.)

description: Soil fauna regulate litter decomposition and carbon redistribution in soil, acting as both litter and microbial feeders. However, whether these feeding roles shift along environmental gradients remains unclear. We tested whether microbivory increases in cold climates and with lower litter quality – both factors limiting detritus digestion by fauna. Using stable isotope composition (<i>δ</i><sup>13</sup>C, <i>δ</i><sup>15</sup>N) of 7,263 soil invertebrate samples across temperate and tropical forests, we found that litter carbon percentage positively correlated with trophic level, indicating higher microbivory in low litter quality systems. This effect was more evident in mesofauna, while macrofauna showed an ability to incorporate more recalcitrant plant carbon. Climate type had no general effect on feeding strategies. Our findings suggest low litter quality shifts soil animals from detritivory to microbivory, highlighting the importance of litter quality over climate in shaping soil food webs. Understanding these shifts is crucial for predicting litter decomposition and global carbon cycling