cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18327461
title: Aerosol and meteorological data from a tethered balloon during the Brigerbad campaign September-October 2021 (Switzerland)

description: The dataset introduced here originated from a field deployment with a tethered-balloon (Helikite) carrying the MoMuCAMS platform (Pohorsky et al., 2024) in a Swiss alpine valley (Brigerbad, Switzerland). The deployment was part of a test campaign for the development of the MoMuCAMS platform. The recorded variables, the instruments deployed during the campaign, along with the data processing steps are detailed below. The measurements focused on aerosol, trace gas and meteorological measurements as vertical profiles. In total, 26 Helikite flights provided data of aerosol concentration, number size distributions from 8 nm to 3370 nm, aerosol light absorption coefficients, mixing ratios of CO2, CO and O3 and meteorological variables. All the variables were time synchronized, quality controlled, and corrected by Standard Temperature and Pressure (STP) when necessary. More details on the instruments deployed with the MoMuCAMS can be found in Pohorsky et al. (2024). Calculations performed during the data processing steps are available in Schmale et al. (2026).
DOI: 10.5281/zenodo.18327462
title: Aerosol and meteorological data from a tethered balloon during the Brigerbad campaign September-October 2021 (Switzerland)

description: The dataset introduced here originated from a field deployment with a tethered-balloon (Helikite) carrying the MoMuCAMS platform (Pohorsky et al., 2024) in a Swiss alpine valley (Brigerbad, Switzerland). The deployment was part of a test campaign for the development of the MoMuCAMS platform. The recorded variables, the instruments deployed during the campaign, along with the data processing steps are detailed below. The measurements focused on aerosol, trace gas and meteorological measurements as vertical profiles. In total, 26 Helikite flights provided data of aerosol concentration, number size distributions from 8 nm to 3370 nm, aerosol light absorption coefficients, mixing ratios of CO2, CO and O3 and meteorological variables. All the variables were time synchronized, quality controlled, and corrected by Standard Temperature and Pressure (STP) when necessary. More details on the instruments deployed with the MoMuCAMS can be found in Pohorsky et al. (2024). Calculations performed during the data processing steps are available in Schmale et al. (2026).
DOI: 10.6084/m9.figshare.31113166
title: The alignment and phylogeny of <i>Multifurca rugulosospora</i> sp. nov. (Russulaceae), a new species and the first record of the genus from Vietnam

description: A new species, <i>Multifurca rugulosospora </i>sp. nov. (Russulaceae), is described from <i>Pinus kesiya</i> forests in Lam Dong Province, southern Vietnam. The species is macroscopically similar to <i>M. pseudofurcata</i> and <i>M. orientalis</i>. However, it is distinguished by smaller basidiospores with low and clearly rugulose ornamentation. Phylogenetic analyses based on combined ITS, LSU and RPB2 sequences recover the species as a well-supported, independent lineage within <i>Multifurca</i>.
DOI: 10.6084/m9.figshare.31113166.v1
title: The alignment and phylogeny of <i>Multifurca rugulosospora</i> sp. nov. (Russulaceae), a new species and the first record of the genus from Vietnam

description: A new species, <i>Multifurca rugulosospora </i>sp. nov. (Russulaceae), is described from <i>Pinus kesiya</i> forests in Lam Dong Province, southern Vietnam. The species is macroscopically similar to <i>M. pseudofurcata</i> and <i>M. orientalis</i>. However, it is distinguished by smaller basidiospores with low and clearly rugulose ornamentation. Phylogenetic analyses based on combined ITS, LSU and RPB2 sequences recover the species as a well-supported, independent lineage within <i>Multifurca</i>.
DOI: 10.5281/zenodo.18327196
title: owid
title: owid Database for COVID-19 data in World

description: COVID-19 data for World from 2020-01-01 to 2023-11-06, including cur_excess_mortality, cur_excess_mortality_cumulative_per_million, cur_hosp_patients, cur_icu_patients, cur_idx_positive_rate, cur_reproduction_rate, cur_weekly_hosp_admissions, total_boosters, total_cases, total_cases_per_million, total_deaths, total_deaths_per_million, total_gdp_per_capita, total_people_fully_vaccinated, total_people_fully_vaccinated_per_hundred, total_people_vaccinated, total_people_vaccinated_per_hundred, total_population, total_tests, total_tests_per_thousand, total_vaccinations, total_vaccinations_per_hundred

Files:



Original database backup 

pkl from pyvoa 


Original url : https://raw.githubusercontent.com/owid/covid-19-data/master/public/data/owid-covid-data.csv
DOI: 10.6084/m9.figshare.31113358
title: Runoff_Prediction_Data_and_Code for <b>Hybrid deep learning and optimized </b><b>Variational Mode Decomposition</b><b> for point-interval runoff prediction</b>

description: This repository provides the data and MATLAB codes supporting the figures and experimental results reported in the manuscript“Hybrid Deep Learning and Optimized Variational Mode Decomposition for Point–Interval Runoff Prediction”.The dataset is based on long-term monthly runoff observations from the Yangtze River Basin (Hankou and Luoshan stations) and includes observed runoff series, model predictions, and derived error sequences.The accompanying MATLAB scripts reproduce all main analyses presented in the paper, including VMD/IVMD parameter optimization, point prediction comparison, kernel density estimation–based interval prediction, and Bootstrap-based uncertainty assessment. The materials are organized by figure number (Figs. 3–10) to facilitate transparency, reproducibility, and result verification.<br>
DOI: 10.6084/m9.figshare.31113358.v1
title: Runoff_Prediction_Data_and_Code for <b>Hybrid deep learning and optimized </b><b>Variational Mode Decomposition</b><b> for point-interval runoff prediction</b>

description: This repository provides the data and MATLAB codes supporting the figures and experimental results reported in the manuscript“Hybrid Deep Learning and Optimized Variational Mode Decomposition for Point–Interval Runoff Prediction”.The dataset is based on long-term monthly runoff observations from the Yangtze River Basin (Hankou and Luoshan stations) and includes observed runoff series, model predictions, and derived error sequences.The accompanying MATLAB scripts reproduce all main analyses presented in the paper, including VMD/IVMD parameter optimization, point prediction comparison, kernel density estimation–based interval prediction, and Bootstrap-based uncertainty assessment. The materials are organized by figure number (Figs. 3–10) to facilitate transparency, reproducibility, and result verification.<br>
DOI: 10.5281/zenodo.18312596
title: Data for a publication - An Advanced Approach for the Analysis of the Rotor Dynamics of a Ball Bearing Turbocharger †

description: Turbochargers operate under highly transient conditions, which impose significant me chanical and thermal loads on their rotating components. When supported by ball bearings combined with squeeze film dampers, the rotor system exhibits complex nonlinear dynam ics that can critically affect bearing performance and service life. This study investigates the dynamic behaviour of ball-bearing-supported turbocharger rotors, focusing on lubrication conditions that reflect transient operating conditions. A high-fidelity computational model was developed to simulate multibody rotor dynamics, incorporating finite element-based f lexible bodies and elastohydrodynamic lubrication (EHL) submodels to represent the con tacts within the ball bearings. Validation of the simulation results against experimental data revealed that rotor vibrations significantly influence EHL contact, potentially leading to raceway damage. Additionally, differences in bearing loading between the inner and outer raceways, as well as between the compressor and turbine side bearings, were observed due to bearing clearance effects.
DOI: 10.5281/zenodo.18312597
title: Data for a publication - An Advanced Approach for the Analysis of the Rotor Dynamics of a Ball Bearing Turbocharger †

description: Turbochargers operate under highly transient conditions, which impose significant me chanical and thermal loads on their rotating components. When supported by ball bearings combined with squeeze film dampers, the rotor system exhibits complex nonlinear dynam ics that can critically affect bearing performance and service life. This study investigates the dynamic behaviour of ball-bearing-supported turbocharger rotors, focusing on lubrication conditions that reflect transient operating conditions. A high-fidelity computational model was developed to simulate multibody rotor dynamics, incorporating finite element-based f lexible bodies and elastohydrodynamic lubrication (EHL) submodels to represent the con tacts within the ball bearings. Validation of the simulation results against experimental data revealed that rotor vibrations significantly influence EHL contact, potentially leading to raceway damage. Additionally, differences in bearing loading between the inner and outer raceways, as well as between the compressor and turbine side bearings, were observed due to bearing clearance effects.
DOI: 10.15468/dl.252f6n
title: Occurrence Download

description: A dataset containing 89648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Specimen, Observation)",
 "Continent is Africa",
 "Country is Nigeria",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 89648 records from 320 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002535-260120142942310/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.28853636
title: Dataset for Disentangling the roles of microbial traits and mineral protection in regulating temperature sensitivity of soil carbon decomposition in eroded and depositional agricultural soils

description: This dataset documents erosion-induced changes in the temperature sensitivity of soil organic carbon decomposition (<i>Q</i><sub>10</sub>) across four erosion-prone regions in China: the Northeast Rolling Hills, the Loess Plateau, the Sichuan Basin, and the Yunnan–Guizhou Plateau. Together, the provinces encompassing these regions account for 26.20% of China’s land area but contribute 56.95% of the national soil erosion area.Soil samples were collected from intensively managed sloping farmlands during the 2021 harvest season (September–November). In each region, four geographically independent hillslopes (&gt;200 m apart) were selected as replicates. Along each hillslope, four geomorphic positions representing an erosion–deposition sequence were identified: non-eroded (NE) summit positions, moderately eroded (ME) shoulder slopes, severely eroded (SE) backslopes, and depositional (DP) footslopes. In total, 64 plots were established (4 regions × 4 hillslopes × 4 erosion classes).Within each plot, three soil profiles were excavated to 60 cm depth, and samples were collected at 20 cm intervals for physicochemical and microbial analyses. Soil subsamples were incubated under variable temperature regimes, and CO₂ release was measured to quantify <i>Q</i><sub>10</sub>.The dataset includes <i>Q</i><sub>10</sub> values and associated soil properties, including microbial community indicators, carbon fractions, enzyme activities, soil texture, aggregate stability, nutrient stoichiometry, and physical properties.
DOI: 10.6084/m9.figshare.28853636.v4
title: Dataset for Disentangling the roles of microbial traits and mineral protection in regulating temperature sensitivity of soil carbon decomposition in eroded and depositional agricultural soils

description: This dataset documents erosion-induced changes in the temperature sensitivity of soil organic carbon decomposition (<i>Q</i><sub>10</sub>) across four erosion-prone regions in China: the Northeast Rolling Hills, the Loess Plateau, the Sichuan Basin, and the Yunnan–Guizhou Plateau. Together, the provinces encompassing these regions account for 26.20% of China’s land area but contribute 56.95% of the national soil erosion area.Soil samples were collected from intensively managed sloping farmlands during the 2021 harvest season (September–November). In each region, four geographically independent hillslopes (&gt;200 m apart) were selected as replicates. Along each hillslope, four geomorphic positions representing an erosion–deposition sequence were identified: non-eroded (NE) summit positions, moderately eroded (ME) shoulder slopes, severely eroded (SE) backslopes, and depositional (DP) footslopes. In total, 64 plots were established (4 regions × 4 hillslopes × 4 erosion classes).Within each plot, three soil profiles were excavated to 60 cm depth, and samples were collected at 20 cm intervals for physicochemical and microbial analyses. Soil subsamples were incubated under variable temperature regimes, and CO₂ release was measured to quantify <i>Q</i><sub>10</sub>.The dataset includes <i>Q</i><sub>10</sub> values and associated soil properties, including microbial community indicators, carbon fractions, enzyme activities, soil texture, aggregate stability, nutrient stoichiometry, and physical properties.
DOI: 10.6084/m9.figshare.28853636.v3
title: Dataset for Disentangling the roles of microbial traits and mineral protection in regulating temperature sensitivity of soil carbon decomposition in eroded and depositional agricultural soils

description: We investigated erosion-induced changes in the temperature sensitivity of soil organic carbon decomposition (Q<sub>1</sub>0) across three erosion-prone regions in China: the Northeast Rolling Hills in Heilongjiang, the Sichuan Basin in Sichuan, and the Yunnan–Guizhou Plateau in Yunnan. These regions together represent one-fifth of China’s land area and more than one-third of its total erosion area. Within each region, sloping farmlands were selected and four slope positions were identified to capture erosion and deposition gradients: non-eroded hilltops, moderately eroded upper slopes, severely eroded mid-slopes, and depositional footslopes. A total of 48 plots were established, and soil profiles were excavated to 60 cm depth. Samples were collected at 20 cm intervals for physicochemical and microbial analyses. To assess Q<sub>10</sub>, soil subsamples were incubated under variable temperature regimes, and CO<sub>2</sub> release was measured to calculate the response of decomposition to warming.
DOI: 10.15468/dl.kufawy
title: Occurrence Download

description: A dataset listing the 891 species recorded in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((1.3 43.665,1.32178 43.66244,1.3255 43.65534,1.35247 43.66525,1.35187 43.68251,1.34452 43.70328,1.3 43.7,1.3 43.665))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset's 891 records were derived from 52 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002547-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15267156
title: Field Survey Data from the November 2023 Storms along the Southern Black Sea Coastline

description: This dataset is created as a part of the manuscript titled "Impact of November 2023 storms along the Southern Black Sea coastline" authored by Hasan Gokhan Guler, Gozde Guney Dogan, Isikhan Guler, Cagil Kirezci, Seyda Pirincci and Ahmet Cevdet Yalciner. The manuscript is currently under review for possible publication in Pure and Applied Geophysics. 

For inquiries regarding the dataset, please contact Dr. Hasan Gokhan Guler at goguler{at}metu.edu.tr.
DOI: 10.5281/zenodo.18327182
title: Field Survey Data from the November 2023 Storms along the Southern Black Sea Coastline

description: This dataset is created as a part of the manuscript titled "Impact of November 2023 storms along the Southern Black Sea coastline" authored by Hasan Gokhan Guler, Gozde Guney Dogan, Isikhan Guler, Cagil Kirezci, Seyda Pirincci and Ahmet Cevdet Yalciner. The manuscript is currently under review for possible publication in Pure and Applied Geophysics. 

For inquiries regarding the dataset, please contact Dr. Hasan Gokhan Guler at goguler{at}metu.edu.tr.
DOI: 10.5281/zenodo.18327537
title: LINF_310032400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.5281/zenodo.18327538
title: LINF_310032400

description: Protein of unknown function - conserved; Leishmania infantum (strain JPCM5)
DOI: 10.15468/dl.3sv2bm
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "ScientificName is Echinochloa colonum",
 "BasisOfRecord is Specimen",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002554-260120142942310/datasets/export for details.
DOI: 10.15468/dl.r7zbrh
title: Occurrence Download

description: A dataset containing 117393 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sorex araneus",
 "Continent is Europe",
 "HasCoordinate is true"
 ]
}

 The dataset includes 117393 records from 447 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002512-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8gwy29
title: Occurrence Download

description: A dataset containing 6928 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Aspidoscelis sackii"
 ]
}

 The dataset includes 6928 records from 71 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002555-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dq5w3t
title: Occurrence Download

description: A dataset containing 1932 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Populus heterophylla"
 ]
}

 The dataset includes 1932 records from 156 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002557-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25573/serc.31100647
title: Marsh organ data for "Are marsh organs suitable for measuring biogeochemical function?"

description: This is the marsh organ data for the paper titled “Are marsh organs suitable for measuring biogeochemical function?” This is a subset of the marsh organ data from this experiment. The full dataset will be published at a later date and this version will be updated with the DOI for the full dataset.Variable meaning:Date_Week: The first date of the week the data were collectedSite: FW is the freshwater marsh organ location in Muddy Creek (38.883904° N, -76.558236° W), BW is the brackish marsh organ location at the Global Change Research Wetland (38.874768° N , -76.546489° W).Pot_ID: The identification number for the specific pot of plants in each marsh organOrgan_ID: The identification number for the marsh organ the data were collected from at each siteOrgan_Row: The elevation treatment for each row of the marsh organ. “0” was set at the Global Change Research Wetland S. americanus elevation in 2022, “-10” is 10 cm lower than 0 and “+10” is 10 cm higher than 0.Vegetation: Whether vegetation was planted in the pot. “Veg” means vegetation was present. “Bare” means no vegetation was planted in the pot.Heat: The heating treatment for each pot. “Amb” means the pots were not heated so they were ambient temperature. “6C” means the pots were heated to a target of 6 degrees Celsius above ambient temperature.Redox_Av: The uncorrected reduction-oxidation potential in millivolts (mV). The correction term used should be +202mV.Live_Biom_Area: The living aboveground biomass measured using allometric methods for Schoenoplectus americanus scaled to meters squared (m2) in units grams per meter squared (g m-2).Season: The season when the data was collected.flux.CO2: The amount of carbon dioxide (CO2) emitted from each pot with positive numbers representing emission and negative numbers representing uptake of CO2 in the units millmoles per meter squared per day (mmol m-2 d-1). Fluxes were calculated as the linear change in concentration in a dark chamber. Concentration was measured by an LI-7810 over a 5-minute period.AirTC_Avg.mean: The air temperature measured inside of each chamber during the flux period by a HOBO pendant light/temperature logger.
DOI: 10.25573/serc.31100647.v1
title: Marsh organ data for "Are marsh organs suitable for measuring biogeochemical function?"

description: This is the marsh organ data for the paper titled “Are marsh organs suitable for measuring biogeochemical function?” This is a subset of the marsh organ data from this experiment. The full dataset will be published at a later date and this version will be updated with the DOI for the full dataset.Variable meaning:Date_Week: The first date of the week the data were collectedSite: FW is the freshwater marsh organ location in Muddy Creek (38.883904° N, -76.558236° W), BW is the brackish marsh organ location at the Global Change Research Wetland (38.874768° N , -76.546489° W).Pot_ID: The identification number for the specific pot of plants in each marsh organOrgan_ID: The identification number for the marsh organ the data were collected from at each siteOrgan_Row: The elevation treatment for each row of the marsh organ. “0” was set at the Global Change Research Wetland S. americanus elevation in 2022, “-10” is 10 cm lower than 0 and “+10” is 10 cm higher than 0.Vegetation: Whether vegetation was planted in the pot. “Veg” means vegetation was present. “Bare” means no vegetation was planted in the pot.Heat: The heating treatment for each pot. “Amb” means the pots were not heated so they were ambient temperature. “6C” means the pots were heated to a target of 6 degrees Celsius above ambient temperature.Redox_Av: The uncorrected reduction-oxidation potential in millivolts (mV). The correction term used should be +202mV.Live_Biom_Area: The living aboveground biomass measured using allometric methods for Schoenoplectus americanus scaled to meters squared (m2) in units grams per meter squared (g m-2).Season: The season when the data was collected.flux.CO2: The amount of carbon dioxide (CO2) emitted from each pot with positive numbers representing emission and negative numbers representing uptake of CO2 in the units millmoles per meter squared per day (mmol m-2 d-1). Fluxes were calculated as the linear change in concentration in a dark chamber. Concentration was measured by an LI-7810 over a 5-minute period.AirTC_Avg.mean: The air temperature measured inside of each chamber during the flux period by a HOBO pendant light/temperature logger.