cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.17975542
title: Data for: Levitated Milligram-scale Ferromagnetic Magnetometer at Room Temperature

description: Subset of the raw data to Figures, Supplementary figures.
DOI: 10.5281/zenodo.17975543
title: Data for: Levitated Milligram-scale Ferromagnetic Magnetometer at Room Temperature

description: Subset of the raw data to Figures, Supplementary figures.
DOI: 10.15468/dl.xjw34r
title: Occurrence Download

description: A dataset containing 1751 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Jasminum polyanthum",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 1751 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059960-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xdfjvg
title: Occurrence Download

description: A dataset containing 318 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mikania micrantha",
 "Year 2016-2025"
 ]
}

 The dataset includes 318 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059961-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ymezpg
title: Occurrence Download

description: A dataset containing 2841 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Kazakhstan",
 "Geometry POLYGON((68.08732 48.21121,67.72354 48.29358,67.27739 48.19062,66.84497 48.08766,66.24781 47.86115,66.18604 47.70328,66.19977 47.20222,66.22722 46.78353,66.59101 46.45406,66.74887 46.11087,67.05775 45.92555,67.24994 46.07655,67.60686 46.06282,68.11478 46.05596,68.8698 46.06969,69.08258 46.30992,69.16495 46.72175,69.09631 47.14045,68.7188 47.57287,68.43051 47.84743,68.08732 48.21121))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 2841 records from 54 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059963-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.se6ggd
title: Occurrence Download

description: A dataset containing 13281 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Koelreuteria paniculata",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 },
 {
 "or" : [
 "CoordinateUncertaintyInMeters is less than 10000",
 "CoordinateUncertaintyInMeters is null"
 ]
 }
 ]
}

 The dataset includes 13281 records from 291 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059965-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25919/39fh-ds82
title: DArTseq data from oat differential sets

description: Genotypic data from oat differential set provided by U Sydney
DOI: 10.25919/dpeq-d121
title: DArTseq data from oat differential sets

description: Genotypic data from oat differential set provided by U Sydney
DOI: 10.15468/dl.t4nj7d
title: Occurrence Download

description: A dataset containing 153580 records in GBIF matching the query:
SELECT
 gbifid
FROM
 occurrence
WHERE
 occurrence.basisofrecord = 'PRESERVED_SPECIMEN'
 AND ARRAY_CONTAINS(occurrence.mediatype, 'StillImage')
 AND occurrence.datasetkey = '857bce66-f762-11e1-a439-00145eb45e9a'

 The dataset's 153580 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059956-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5amx6n
title: Occurrence Download

description: A dataset containing 14672 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Epimedium"
 ]
}

 The dataset includes 14672 records from 360 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059966-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17984011
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.94zsau
title: Occurrence Download

description: A dataset containing 828 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Orthomorphella pekuensis"
 ]
}

 The dataset includes 828 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059970-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.30918806
title: a global meta-analysis of 2,750 samples

description: a global meta-analysis of 2,750 samples for NEE flux, warming and GHG.
DOI: 10.6084/m9.figshare.30918806.v1
title: a global meta-analysis of 2,750 samples

description: a global meta-analysis of 2,750 samples for NEE flux, warming and GHG.
DOI: 10.15468/dl.upur9t
title: Occurrence Download

description: A dataset containing 17773 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Occurrence (survey) data of invasive alien plants of Nepal"
 ]
}

 The dataset includes 17773 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059971-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17984038
title: GHG data
DOI: 10.5281/zenodo.17984039
title: GHG data
DOI: 10.5281/zenodo.17984012
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.m7scde
title: Occurrence Download

description: A dataset containing 3814450 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((75.08934 14.60307,82.21322 14.38145,82.2906 21.14383,75.50627 21.50225,75.08934 14.60307))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Chordata"
 ]
}

 The dataset includes 3814450 records from 93 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059949-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.a79xhp
title: Occurrence Download

description: A dataset containing 93 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Türkiye",
 "TaxonKey is Crocus ancyrensis"
 ]
}

 The dataset includes 93 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059973-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.48573/qwk5-n648
title: TRAIL – Transition in die Berufslehre
title: TRAIL – Transition vers l'apprentissage
DOI: 10.48573/tp3p-wb40
title: TRAIL – Transition in die Berufslehre
title: TRAIL – Transition vers l'apprentissage
DOI: 10.6084/m9.figshare.30918788
title: <b>Intensifying extreme climatic events drive the normalization of cyanobacterial blooms in a large shallow eutrophic lake</b>

description: Under anthropogenic climate change, intensifying extreme climatic events are reshaping lake cyanobacterial blooms; yet their contributions remain poorly quantified, and the causal pathways are unclear, limiting integration into attribution and early warning systems and posing risks to drinking water safety. Here, we fuse 22 years of multisource daily records, build a distributed lag nonlinear model (DLNM) with counterfactual decomposition to separate the marginal effects of extremes from the concurrent normal climate load, and develop a transferable machine learning nowcast centered on extreme exposure features. From 2003 to 2024, extreme climatic events contributed more cumulatively than the normal climate load and served as proximate triggers through predominantly lagged responses. Extreme heat events (EHEs) and extreme drought events (EDEs) generally amplified blooms, whereas extreme rainfall events (EREs) tended to suppress them, primarily by altering water temperature and internal and external nutrient loading. Centering on daily extreme exposure features, we built a nowcasting and threshold alert model that requires no contemporaneous water quality inputs. Bias corrected projections indicate monotonic increases in the frequency, persistence, and cumulative exposure of heat and compound extremes toward 2100, driving a shift from frequent to near normalized blooms; under a high emission pathway (SSP585), annual bloom duration in Lake Hongze exceeds 200 days. Even when current nitrogen and phosphorus targets are met, blooms still intensify under increasingly severe extremes. Importantly, even with aggressive phosphorus abatement, strong extreme climate forcing alone can sustain frequent blooms. We thus propose an interpretable, transferable, extreme event centric framework for bloom attribution and prediction, offering guidance for shallow eutrophic lakes worldwide.
DOI: 10.6084/m9.figshare.30918788.v1
title: <b>Intensifying extreme climatic events drive the normalization of cyanobacterial blooms in a large shallow eutrophic lake</b>

description: Under anthropogenic climate change, intensifying extreme climatic events are reshaping lake cyanobacterial blooms; yet their contributions remain poorly quantified, and the causal pathways are unclear, limiting integration into attribution and early warning systems and posing risks to drinking water safety. Here, we fuse 22 years of multisource daily records, build a distributed lag nonlinear model (DLNM) with counterfactual decomposition to separate the marginal effects of extremes from the concurrent normal climate load, and develop a transferable machine learning nowcast centered on extreme exposure features. From 2003 to 2024, extreme climatic events contributed more cumulatively than the normal climate load and served as proximate triggers through predominantly lagged responses. Extreme heat events (EHEs) and extreme drought events (EDEs) generally amplified blooms, whereas extreme rainfall events (EREs) tended to suppress them, primarily by altering water temperature and internal and external nutrient loading. Centering on daily extreme exposure features, we built a nowcasting and threshold alert model that requires no contemporaneous water quality inputs. Bias corrected projections indicate monotonic increases in the frequency, persistence, and cumulative exposure of heat and compound extremes toward 2100, driving a shift from frequent to near normalized blooms; under a high emission pathway (SSP585), annual bloom duration in Lake Hongze exceeds 200 days. Even when current nitrogen and phosphorus targets are met, blooms still intensify under increasingly severe extremes. Importantly, even with aggressive phosphorus abatement, strong extreme climate forcing alone can sustain frequent blooms. We thus propose an interpretable, transferable, extreme event centric framework for bloom attribution and prediction, offering guidance for shallow eutrophic lakes worldwide.
DOI: 10.5281/zenodo.17983961
title: Upregulation of miR-223 by SIRT1 attenuates the inflammatory response in neonatal sepsis
DOI: 10.5281/zenodo.17983960
title: Upregulation of miR-223 by SIRT1 attenuates the inflammatory response in neonatal sepsis
DOI: 10.5281/zenodo.17950633
title: A Numerical Analysis of Allocation Strategies for the Multi Armed Bandit Problem under Delayed Rewards Conditions in Digital Campaign Management

description: In this paper, we propose a set of allocation strategies to deal with the multi-armed bandit problem, the possibilistic reward (PR) methods. First, we use possibilistic reward distributions to model the uncer- tainty about the expected rewards from the arm, derived from a set of infinite confidence intervals nested around the expected value. Depending on the inequality used to compute the confidence intervals, there are three possible PR methods with different f eatures. Next, we use a pignistic probability transformation to convert these possibilistic functions into probability distributions following the insufficient reason princi- ple . Finally, Thompson sampling techniques are used to identify the arm with the higher expected reward and play that arm. A numerical study analyses the performance of the proposed methods with respect to other policies in the literature. Two PR methods perform well in all representative scenarios under consideration, and are the best allocation strategies if truncated poisson or exponential distributions in [0,10] are considered for the arms.
DOI: 10.5281/zenodo.17950634
title: A Numerical Analysis of Allocation Strategies for the Multi Armed Bandit Problem under Delayed Rewards Conditions in Digital Campaign Management

description: In this paper, we propose a set of allocation strategies to deal with the multi-armed bandit problem, the possibilistic reward (PR) methods. First, we use possibilistic reward distributions to model the uncer- tainty about the expected rewards from the arm, derived from a set of infinite confidence intervals nested around the expected value. Depending on the inequality used to compute the confidence intervals, there are three possible PR methods with different f eatures. Next, we use a pignistic probability transformation to convert these possibilistic functions into probability distributions following the insufficient reason princi- ple . Finally, Thompson sampling techniques are used to identify the arm with the higher expected reward and play that arm. A numerical study analyses the performance of the proposed methods with respect to other policies in the literature. Two PR methods perform well in all representative scenarios under consideration, and are the best allocation strategies if truncated poisson or exponential distributions in [0,10] are considered for the arms.
DOI: 10.57760/sciencedb.32773
title: Raw data for "Oxygen-deficient magnetite in Chang’e 6 sample as evidence for deoxygenation of the Moon"
title: Raw data for "Oxygen-deficient magnetite in Chang’e 6 sample as evidence for deoxygenation of the Moon"

description: The package includes raw data for the scientific paper "Oxygen-deficient magnetite in Chang’e 6 sample as evidence for deoxygenation of the Moon".Ordinary image files (*.mrc, *.jpg, *.tiff, *.bmp) can be opened using any image viewer. The *dm4. file can be opened and processed using the DigitalMicrograph software. The *pts. file can be opened and processed using the Pets2 software. The *VGD. file can be opened and processed using the Avantage software.
description: The package includes raw data for the scientific paper "Oxygen-deficient magnetite in Chang’e 6 sample as evidence for deoxygenation of the Moon".Ordinary image files (*.mrc, *.jpg, *.tiff, *.bmp) can be opened using any image viewer. The *dm4. file can be opened and processed using the DigitalMicrograph software. The *pts. file can be opened and processed using the Pets2 software. The *VGD. file can be opened and processed using the Avantage software.
DOI: 10.5281/zenodo.17983955
title: Supporting Data for Ferroelectric Fluids for Nonlinear Photonics: Evaluation of Temperature Dependence of Second-Order Susceptibilities
DOI: 10.5281/zenodo.17983956
title: Supporting Data for Ferroelectric Fluids for Nonlinear Photonics: Evaluation of Temperature Dependence of Second-Order Susceptibilities
DOI: 10.15468/dl.epafmc
title: Occurrence Download

description: A dataset containing 75403 species occurrences available in GBIF matching the query:
{
 "and" : [
 "CoordinateUncertaintyInMeters 0.0-4999.0",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Quercus rubra",
 "Year 2000-2025"
 ]
}

 The dataset includes 75403 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059968-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.udffad
title: Occurrence Download

description: A dataset containing 135810624 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is iNaturalist Research-grade Observations",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 135810624 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0059969-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.57760/sciencedb.33743
title: Data and Code for manuscript "A microscopic origin for the breakdown of the Stokes–Einstein relation in ion transport"
title: Data and Code for manuscript "A microscopic origin for the breakdown of the Stokes–Einstein relation in ion transport"

description: This dataset contains the experimental data, molecular dynamics simulation data, and analysis codes supporting the study of dielectric friction and the breakdown of the Stokes–Einstein relation in aqueous ion transport. The experimental component includes nanopore-based ionic transport measurements obtained from nanopores with characteristic diameters of 50 nm, 250 nm, and 500 nm, together with scanning electron microscopy (SEM) images used for structural characterization. Raw time-resolved ionic current trajectories and corresponding analysis scripts are provided. The simulation component consists of molecular dynamics simulations performed under different electrostatic conditions, including electric-field–driven ion transport, fixed charged ion simulations, and fixed uncharged ion simulations. All simulation input files, force field definitions, raw outputs, and post-processed analysis results are included. In addition, this dataset provides all scripts used for data processing and for generating the figures presented in the associated Physical Review Letters manuscript. The data and code together enable transparent inspection and reproduction of the main results reported in the study.
description: This dataset contains the experimental data, molecular dynamics simulation data, and analysis codes supporting the study of dielectric friction and the breakdown of the Stokes–Einstein relation in aqueous ion transport. The experimental component includes nanopore-based ionic transport measurements obtained from nanopores with characteristic diameters of 50 nm, 250 nm, and 500 nm, together with scanning electron microscopy (SEM) images used for structural characterization. Raw time-resolved ionic current trajectories and corresponding analysis scripts are provided. The simulation component consists of molecular dynamics simulations performed under different electrostatic conditions, including electric-field–driven ion transport, fixed charged ion simulations, and fixed uncharged ion simulations. All simulation input files, force field definitions, raw outputs, and post-processed analysis results are included. In addition, this dataset provides all scripts used for data processing and for generating the figures presented in the associated Physical Review Letters manuscript. The data and code together enable transparent inspection and reproduction of the main results reported in the study.
DOI: 10.57760/sciencedb.33188
title: OpenSubstance: A High-Quality Measured Dataset of Multi-View and -Lighting Images and Shapes (Part 9)
title: OpenSubstance: A High-Quality Measured Dataset of Multi-View and -Lighting Images and Shapes (Part 9)

description: We present OpenSubstance, a high-quality measured dataset with 2.4 million high-dynamic-range images of 187 objects with a wide variety in shape and appearance, captured under 270 camera views and 1,637 lighting conditions, including 1,620 one-light-at-a-time, 8 environment, 8 linear, and 1 full-on illumination. For each image, the corresponding lighting condition, camera parameters, and foreground segmentation mask are provided. High-precision 3D geometry is also acquired for rigid objects. It takes 1 hour on average to capture one object with our custom-built high-performance lightstage and a top-grade commercial 3D scanner. We perform comprehensive quantitative evaluation on state-of-the-art techniques across different tasks, including single- and multi-view photometric stereo, as well as relighting. The project is publicly available at https://opensubstance.github.io/This dataset includes part of raw images data.
description: We present OpenSubstance, a high-quality measured dataset with 2.4 million high-dynamic-range images of 187 objects with a wide variety in shape and appearance, captured under 270 camera views and 1,637 lighting conditions, including 1,620 one-light-at-a-time, 8 environment, 8 linear, and 1 full-on illumination. For each image, the corresponding lighting condition, camera parameters, and foreground segmentation mask are provided. High-precision 3D geometry is also acquired for rigid objects. It takes 1 hour on average to capture one object with our custom-built high-performance lightstage and a top-grade commercial 3D scanner. We perform comprehensive quantitative evaluation on state-of-the-art techniques across different tasks, including single- and multi-view photometric stereo, as well as relighting. The project is publicly available at https://opensubstance.github.io/This dataset includes part of raw images data.