cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17304695
title: Occurrence of seeding multi-layer clouds in the Arctic from ground-based observations

description: This data set contains information on the occurrence of cloud layers derived from the combination of radiosonde soundings with coincident cloud radar measurements, following the methodology of Vassel et al. (2019). While the original approach was developed for cloud observations during the MOSAiC campaign, we additionally include data from the ACSE and AO2018 ship campaigns, as well as from long-term monitoring sites at Ny-Ålesund (Svalbard) and Utqiagvik (Alaska).

The data set consists of MATLAB .mat files, which are monthly output files (for assumed ice crystal sizes of 100, 200, and 400 micrometers) for each station or campaign. These files are generated by the MATLAB program a_make_MLC_classification_arctic.m availbe at: https://github.com/SEE-GEO/Classification_algorithm_of_multilayer_clouds.

The output files are valid only for hexagonal plate ice crystals, as used in the analysis presented in Achtert et al. (2026). However, the calculations can also be repeated assuming other ice crystal habits, such as aggregates, rimed columns, or stellar particles.

The .mat output files can be visualized using the MATLAB script a_make_MLC_classification_arctic_several_years_plots.m. 

Vassel, M., Ickes, L., Maturilli, M., and Hoose, C.: Classification of Arctic multilayer clouds using radiosonde and radar data in Svalbard,Atmos. Chem. Phys., 19, 5111-5126, https://doi.org/10.5194/acp-19-5111-2019, 2019.
DOI: 10.5281/zenodo.17304694
title: Occurrence of seeding multi-layer clouds in the Arctic from ground-based observations

description: This data set contains information on the occurrence of cloud layers derived from the combination of radiosonde soundings with coincident cloud radar measurements, following the methodology of Vassel et al. (2019). While the original approach was developed for cloud observations during the MOSAiC campaign, we additionally include data from the ACSE and AO2018 ship campaigns, as well as from long-term monitoring sites at Ny-Ålesund (Svalbard) and Utqiagvik (Alaska).

The data set consists of MATLAB .mat files, which are monthly output files (for assumed ice crystal sizes of 100, 200, and 400 micrometers) for each station or campaign. These files are generated by the MATLAB program a_make_MLC_classification_arctic.m availbe at: https://github.com/SEE-GEO/Classification_algorithm_of_multilayer_clouds.

The output files are valid only for hexagonal plate ice crystals, as used in the analysis presented in Achtert et al. (2026). However, the calculations can also be repeated assuming other ice crystal habits, such as aggregates, rimed columns, or stellar particles.

The .mat output files can be visualized using the MATLAB script a_make_MLC_classification_arctic_several_years_plots.m. 

Vassel, M., Ickes, L., Maturilli, M., and Hoose, C.: Classification of Arctic multilayer clouds using radiosonde and radar data in Svalbard,Atmos. Chem. Phys., 19, 5111-5126, https://doi.org/10.5194/acp-19-5111-2019, 2019.
DOI: 10.15468/dl.tppywx
title: Occurrence Download

description: A dataset containing 21660 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Jason L Miller, Jason Leung, Jason Miller, jasonsmyrlis, jax_nasimok, Jazz (aka turtlehelper), jbdexplores, jbmoreau, jbrum, jcdrey, jcl0, jduns29, Jean C., Jean-Guy Papineau, Jean-Marc Vallières, jeanchristophel, jeepcj, Jefe43, Jeff Clark, Jeff D Hansen, Jeff Davis, Jeff McIntyre, Jeff Polonoli, Jeff Sokal, Jeff Steele, jelstad, jem396, jenb8342, jenhud, Jenn E., Jenn Ge, Jenna, jennhart82, Jennifer C, Jennifer Clevinger, Jenny Glenn, Jenny M., jennyflans, jenwren61, jeremiah06, jeremy_hartsock, Jess White, Jesse, Jessica Arcate Schuler, jestre, Jewels, jgsheets, Jill DeVito, PhD, jilliangeisel, Jim Bennett)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 21660 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009246-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5tywfa
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Mastrus ridens",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009247-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18767739
title: Management of acute bronchitis in Switzerland with Pelargonium sidoides extract EPS®7630 versus usual care – a pragmatic, open-label, randomised controlled trial

description: This study was to conduct a pragmatic randomised controlled trial (RCT) meeting all required standards to evaluate the effectiveness of Pelargonium sidoides extract, EPs® 7630, in the management of acute bronchitis with or without COVID-19 in primary care practices and walk-in clinics in French-speaking Switzerland. The goal was to evaluate the effectiveness of Pelargonium sidoides extract EPs® 7630, also known under the brand name Kaloba®, in the management of acute bronchitis. The main research questions were (1) Is Pelargonium sidoides extract EPs® 7630 effective to reduce the severity and the duration of symptoms related to acute bronchitis ? and (2) Does Pelargonium sidoides extract EPs® 7630 allow to reduce the prescription of antibiotics?Participants were randomized 1:1 either in the control group (usual care) or in the intervention group (Pelargonium sidoides extract EPs® 7630).





There was no evidence that EPs®7630 contributed to reduce symptom duration or antibiotic use significantly.
DOI: 10.5281/zenodo.18767738
title: Management of acute bronchitis in Switzerland with Pelargonium sidoides extract EPS®7630 versus usual care – a pragmatic, open-label, randomised controlled trial

description: This study was to conduct a pragmatic randomised controlled trial (RCT) meeting all required standards to evaluate the effectiveness of Pelargonium sidoides extract, EPs® 7630, in the management of acute bronchitis with or without COVID-19 in primary care practices and walk-in clinics in French-speaking Switzerland. The goal was to evaluate the effectiveness of Pelargonium sidoides extract EPs® 7630, also known under the brand name Kaloba®, in the management of acute bronchitis. The main research questions were (1) Is Pelargonium sidoides extract EPs® 7630 effective to reduce the severity and the duration of symptoms related to acute bronchitis ? and (2) Does Pelargonium sidoides extract EPs® 7630 allow to reduce the prescription of antibiotics?Participants were randomized 1:1 either in the control group (usual care) or in the intervention group (Pelargonium sidoides extract EPs® 7630).





There was no evidence that EPs®7630 contributed to reduce symptom duration or antibiotic use significantly.
DOI: 10.15468/dl.2me7jb
title: Occurrence Download

description: A dataset containing 2329312 species occurrences available in GBIF matching the query:
{
 "and" : [
 "VerbatimScientificName is one of (Coenonympha california, Lethe appalachia, Lethe anthedon, Lethe eurydice, Cercyonis pegala, Oeneis jutta, Megisto cymela, Euphydryas phaeton, Chlosyne nycteis, Chlosyne harrisii, Phyciodes cocyta, Phyciodes tharos, Polygonia interrogationis, Polygonia comma, Polygonia progne, Polygonia faunus, Junonia coenia, Aglais milberti, Aglais io, Nymphalis antiopa, Nymphalis californica, Nymphalis l-album, Asterocampa celtis, Asterocampa clyton, Vanessa cardui, Vanessa virginiensis, Vanessa atalanta, Speyeria cybele, Speyeria aphrodite, Speyeria idalia, Speyeria atlantis, Limenitis archippus, Limenitis arthemis, Boloria bellona, Boloria myrina, Euptoieta claudia, Dione incarnata, Danaus plexippus, Libytheana carinenta, Polyommatus icarus, Glaucopsyche lygdamus, Cupido comyntas, Erora laeta, Celastrina neglecta, Celastrina serotina, Celastrina lucia, Parrhasius m-album, Strymon melinus, Callophrys irus, Callophrys henrici, Callophrys niphon, Callophrys gryneus, Callophrys augustinus, Callophrys lanoraieensis, Satyrium liparops, Satyrium calanus, Satyrium caryaevorus, Satyrium titus, Satyrium acadica, Satyrium edwardsii, Satyrium favonius, Feniseca tarquinius, Lycaena hypophlaeas, Tharsalea epixanthe, Tharsalea hyllus, Calycopis cecrops, Ancyloxypha numitor, Hylephila phyleus, Thymelicus lineola, Amblyscirtes hegon, Amblyscirtes vialis, Thorybes pylades, Urbanus proteus, Epargyreus clarus, Erynnis lucilius, Erynnis persius, Erynnis baptisiae, Erynnis horatius, Erynnis juvenalis, Erynnis icelus, Pholisora catullus, Atrytonopsis hianna, Euphyes vestris, Euphyes bimacula, Euphyes conspicua, Euphyes dion, Anatrytone logan, Poanes viator, Poanes massasoit, Polites mystic, Polites origenes, Polites themistocles, Polites egeremet, Polites coras, Hesperia leonardus, Hesperia metea, Hesperia sassacus, Hesperia colorado, Burnsius communis, Carterocephalus mandan, Vernia verna, Lon hobomok, Lon zabulon, Atalopedes huron, Phyciodes diminutor, Pieris rapae, Pieris virginiensis, Pieris oleracea, Colias eurytheme, Colias philodice, Colias interior, Phoebis sennae, Eurema lisa, Papilio polyxenes, Battus philenor, Papilio troilus, Papilio cresphontes, Papilio solstitius, Papilio canadensis, Papiliio glaucus)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "MediaType is Image"
 ]
}

 The dataset includes 2329312 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009225-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18767903
title: Methodology for non-destructive testing of marine concrete durability

description: The research grant creates new knowledge in the assessment of the technical condition of marine structures' concrete using non-destructive testing (NDT) methods, including conducting in-depth research with the novel drilling resistance method, which is rarely used in practice so far. Concrete in marine structures is subjected to aggressive environmental conditions, including exposure to chlorides, sulfates, and freezing, resulting in damage to the concrete. Up to date there is no methodology for damage assessment using NDT methods has been developed so far. Within the grant, concrete intended for marine structures will be manufactured, aged in aggressive environment, and NDT methods for assessing concrete durability will be applied and validated. The concrete will be examined using ultrasonic pulse velocity tester, rebound hammer, and the Windsor probe test, and an innovative method will be developed and validated to assess the condition of concrete layer-by-layer – resistance to drilling. Based on the results obtained, a methodology will be developed for assessing the durability of marine structures\' concrete, allowing for rapid assessment of the material\'s technical condition and degree of damage. The grant will establish a research group that brings together scientists from RTU and its cooperation partner RTU Latvian Maritime Academy. The grant also includes international collaboration with Brunel University London (UK) and involves students in the research.
DOI: 10.15468/dl.5cm7xz
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Insulasaurus wrighti"
 ]
}

 The dataset includes 13 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009250-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n5d57g
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Insulasaurus victoria"
 ]
}

 The dataset includes 6 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009249-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18760271
title: Ascension Island StrathE2E Implementation files

description: Model implementation files for the Ascension Island Marine Protected Area, for use with the StrathE2E R package (for package details, see Heath et al., 2021, Methods in Ecology and Evolution, doi:10.1111/2041-210X.13510). This configuration was developed with StrathE2E version 4.0.1 and supports decadal simulations from a historical baseline (2010–2019) through to future projections covering the 2060s.

Parameterization was based on outputs from a coupled physical-biogeochemical model (NEMO-ERSEM), driven by two Earth system models (GFDL-ESM4 and CNRM-CM6-1-HR) and two Shared Socioeconomic Pathways (SSP1-2.6 and SSP3-7.0). This enables scenario-based projections of ecosystem dynamics under different climate futures.

A detailed implementation document accompanies the model files, describing the parameterization approach and data sources used for model calibration across both baseline and future periods.

This repository will be made publicly available upon acceptance of the manuscript: Olher et al. (2026), “Climate-driven reductions in nutrient supply propagate through the Ascension Island Marine Protected Area ecosystem” submitted to the ICES Journal of Marine Science (themed section "Assessing the impacts of climate change and fishing on marine ecosystems and resources using the StrathE2E end-to-end model").

This implementation was developed under the EU H2020 Mission Atlantic project (grant agreement no. 862428).
DOI: 10.15468/dl.h5dtcz
title: Occurrence Download

description: A dataset containing 1185 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Country is China",
 "TaxonKey is Gentiana rhodantha"
 ]
}

 The dataset includes 1185 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009248-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18760270
title: Ascension Island StrathE2E Implementation files

description: Model implementation files for the Ascension Island Marine Protected Area, for use with the StrathE2E R package (for package details, see Heath et al., 2021, Methods in Ecology and Evolution, doi:10.1111/2041-210X.13510). This configuration was developed with StrathE2E version 4.0.1 and supports decadal simulations from a historical baseline (2010–2019) through to future projections covering the 2060s.

Parameterization was based on outputs from a coupled physical-biogeochemical model (NEMO-ERSEM), driven by two Earth system models (GFDL-ESM4 and CNRM-CM6-1-HR) and two Shared Socioeconomic Pathways (SSP1-2.6 and SSP3-7.0). This enables scenario-based projections of ecosystem dynamics under different climate futures.

A detailed implementation document accompanies the model files, describing the parameterization approach and data sources used for model calibration across both baseline and future periods.

This repository will be made publicly available upon acceptance of the manuscript: Olher et al. (2026), “Climate-driven reductions in nutrient supply propagate through the Ascension Island Marine Protected Area ecosystem” submitted to the ICES Journal of Marine Science (themed section "Assessing the impacts of climate change and fishing on marine ecosystems and resources using the StrathE2E end-to-end model").

This implementation was developed under the EU H2020 Mission Atlantic project (grant agreement no. 862428).
DOI: 10.15468/dl.xzbrbj
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 "TaxonKey is Facelis retusa",
 "Year is less than or equal to 2000",
 "Year is greater than or equal to 1970",
 {
 "or" : [
 {
 "not" : {
 "EstablishmentMeans" : [
 "is one of (MANAGED, INTRODUCED)"
 ]
 }
 },
 "EstablishmentMeans is null"
 ]
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 1000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 230 records from 51 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009251-260221153910048/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.31341499.v3
title: Global Urban Soil Organic Carbon (SOC) and Associated Environmental Covariate Data at the City Scale

description: This dataset includes city-scale soil organic carbon (SOC) values for urban greenspaces (GS) and impervious surface areas (ISA) across a global set of cities. The data is standardized and provides a comprehensive view of SOC distribution in relation to various environmental and socio-economic factors. In addition to the SOC data, the dataset also includes key covariates such as temperature (TEMP), precipitation (PREC), and other relevant environmental and urbanization metrics. These variables are crucial for understanding the factors driving SOC variability in urban areas, and can be used for further spatial and statistical analyses, including machine learning and geospatial modeling. This dataset is intended to support research on the role of urban soils in global carbon cycling and land-use change.
DOI: 10.5281/zenodo.18767957
title: COVID-19-Todesfälle in Deutschland

description: Im Datensatz "COVID-19-Todesfälle in Deutschland" des Robert Koch-Instituts werden täglich aktualisierte Informationen zu COVID-19-bedingten Todesfällen in Deutschland bereitgestellt. Die Datenerhebung erfolgt im Rahmen des Infektionsschutzgesetzes (IfSG). Der Datensatz umfasst aggregierte Todesfallzahlen nach Berichtsdatum, Altersgruppen und Bundesländern und wird ergänzt durch den Fall-Verstorbenen-Anteil. Der Datensatz ermöglicht fundierte Analysen zur Bewertung der Krankheitsschwere und Verbreitung von COVID-19 in Deutschland.
DOI: 10.15468/dl.seda6j
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Africa",
 "Country is South Africa",
 "DatasetKey is Distribution of marine forests based on citizen science",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009252-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18767962
title: 7-Tage-Inzidenz der COVID-19-Fälle in Deutschland

description: Im Datensatz "7-Tage-Inzidenz der COVID-19-Fälle in Deutschland" des Robert Koch-Instituts werden die täglich aktualisierten COVID-19-Inzidenzen auf Bundes-, Landes- und Landkreisebene basierend auf den Meldungen nach dem Infektionsschutzgesetz (IfSG) bereitgestellt. Die 7-Tage-Inzidenz wird definiert als Anzahl gemeldeter Fälle der letzten sieben Tage pro 100.000 Einwohner:innen und differenziert nach Altersgruppen und Regionen. Die Datenverarbeitung erfolgt vollständig elektronisch über das Deutsche Elektronische Melde- und Informationssystem (DEMIS).
DOI: 10.15468/dl.37uh45
title: Occurrence Download

description: A dataset containing 1994 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Mellivora capensis"
 ]
}

 The dataset includes 1994 records from 81 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009254-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.46mzxk
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ascogaster quadridentata",
 "BasisOfRecord is Human Observation",
 "Year is greater than or equal to 1990",
 "Year is less than or equal to 2026"
 ]
}

 The dataset includes 13 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009255-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.94rxtu
title: Occurrence Download

description: A dataset containing 1518 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Saguinus oedipus",
 "Country is Colombia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1518 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009253-260221153910048/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.7910/dvn/iv7hcg
title: Replication Data for: "Development at the Point of a Bayonet? Challenging Authoritarian Narratives in Latin-American Growth". José Arenas, Emiliano Toni and Pablo Paniagua.

description: Replication Data for: Development at the Point of a Bayonet? Challenging Authoritarian Narratives in Latin-American Growth
DOI: 10.15468/dl.y8mu8r
title: Occurrence Download

description: A dataset containing 46893 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is TRUE",
 "HasGeospatialIssue is FALSE",
 "Geometry POLYGON((-100.551 36.917,-71.79 36.917,-71.79 49.612,-100.551 49.612,-100.551 36.917))",
 "Year is greater than or equal to 2024",
 "RecordedBy is one of (Jim Brighton, Jim Conlon, Jim Natale, Jim Spetz, Jim Varick, jimmoff, Jimmy the Broom, jkha233, jlennoxt, jlm229, jlschaefer7, jmfrench_1, jmilam31, jmole, jnaffy, JoAnn, Joanne Muis, Jodi Levine, Jody Benedict, Joe, Joe Benjamin, Joe Fell, Joe Franckiewicz, Joe Girgente, joegab, John Ambrose, John Boldt, John Canan, John D Reynolds, John Sproule, John Waidner, John Zydowicz, john5309, johncanoles, johnmccrory, johnsbarelyhome, johnslowry, johntownsend, jojobbbb, Jon Pleizier, Jon Rishi, Jonathan Gagnon, Jonathan Kade, Jonathan Mellis, Jonathan Sowers, jonathan_mack, jonsense, jonwalkingaround, Jordan S, Jordan Wolf)",
 "TaxonKey is Plantae"
 ]
}

 The dataset includes 46893 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009256-260221153910048/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.31405503
title: A dataset, including the daily voyage schedule and operational data for a reference ferry, to calculate the ferry's hydrogen demand

description: A dataset, including the daily voyage schedule and operational data for a reference ferry, that was used to calculate the ferry's hydrogen demand in the paper "Life cycle greenhouse gas emissions assessment of utilizing green hydrogen as fuel on marine vessels considering the shipping-based emissions of hydrogen" is presented.