cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18351074
title: Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization

description: This repository contains the datasets, extracted features, and experimental results used in the study “Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization”.The folder organization is designed to clearly separate raw data, processed features, and experimental outputs, ensuring transparency and reproducibility.

Top-level Structure

Project- Adaptive estimation uncertainty quantification/│├── datasets/├── features/└── results/

 

datasets/

This folder contains the original raw data used in the study, provided in two complementary forms:

datasets/├── Nevergard_annotation-20251202T093830Z-1-001/│   └── Nevergard_annotation/│├── Nevergard_samples-20251202T093834Z-1-001/│   └── Nevergard_samples/

 

Nevergard_annotation/





Contains annotation files associated with the dataset.




These files define the annotations from the sample data.



Nevergard_samples/





Contains the sample data, the number of experimental runs.




This is the primary input used for feature extraction and model training.




Files are kept in their original format to preserve data integrity.



features/

This folder contains the extracted features derived from the samples and annotations datasets:

features/└── all_features/

 

all_features/





Stores the complete set of extracted features used in the experiments.




These features serve as the input to all learning models.



 

results/

This directory contains the outputs of all experimental runs reported in the paper:





 


results/├── Experiment_E1/├── Experiment_E2/├── Experiment_E3/├── Experiment_E4/└── Experiment_E5/

 

 

Experiment_E1 – Experiment_E5

Each experiment folder corresponds to a distinct experimental configuration as presented in the paper:





different uncertainty estimation strategies,




different feature subsets,




different model settings.



This separation ensures that results from different experimental setups do not overlap and can be independently verified.
DOI: 10.5281/zenodo.18351075
title: Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization

description: This repository contains the datasets, extracted features, and experimental results used in the study “Learning to Assess the Reliability of Number-of-Runs Estimation in Stochastic Optimization”.The folder organization is designed to clearly separate raw data, processed features, and experimental outputs, ensuring transparency and reproducibility.

Top-level Structure

Project- Adaptive estimation uncertainty quantification/│├── datasets/├── features/└── results/

 

datasets/

This folder contains the original raw data used in the study, provided in two complementary forms:

datasets/├── Nevergard_annotation-20251202T093830Z-1-001/│   └── Nevergard_annotation/│├── Nevergard_samples-20251202T093834Z-1-001/│   └── Nevergard_samples/

 

Nevergard_annotation/





Contains annotation files associated with the dataset.




These files define the annotations from the sample data.



Nevergard_samples/





Contains the sample data, the number of experimental runs.




This is the primary input used for feature extraction and model training.




Files are kept in their original format to preserve data integrity.



features/

This folder contains the extracted features derived from the samples and annotations datasets:

features/└── all_features/

 

all_features/





Stores the complete set of extracted features used in the experiments.




These features serve as the input to all learning models.



 

results/

This directory contains the outputs of all experimental runs reported in the paper:





 


results/├── Experiment_E1/├── Experiment_E2/├── Experiment_E3/├── Experiment_E4/└── Experiment_E5/

 

 

Experiment_E1 – Experiment_E5

Each experiment folder corresponds to a distinct experimental configuration as presented in the paper:





different uncertainty estimation strategies,




different feature subsets,




different model settings.



This separation ensures that results from different experimental setups do not overlap and can be independently verified.
DOI: 10.15468/dl.4bwx4c
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Platanthera brevifolia"
 ]
}

 The dataset includes 84 records from 16 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011929-260120142942310/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.31148683
title: Qualitative research data

description: Car accidents, a leading cause of child fatalities in Saudi Arabia, can be significantly reduced by proper usage of car seats. The Montessori method offers a relevant framework for car seat safety education. This study explores how Saudi Arabian teachers integrate Montessori principles into car seat safety lessons for young children. A qualitative study (June 2023–June 2024) with two female Montessori teachers of children aged 3–6 included interviews, observations, and visual documentation. Results show Montessori principles effectively engaged children, promoting independent and responsible car seat behaviour. The Ministry of Education should support integration through curriculum inclusion, training, and necessary resources.
DOI: 10.6084/m9.figshare.31148683.v1
title: Qualitative research data

description: Car accidents, a leading cause of child fatalities in Saudi Arabia, can be significantly reduced by proper usage of car seats. The Montessori method offers a relevant framework for car seat safety education. This study explores how Saudi Arabian teachers integrate Montessori principles into car seat safety lessons for young children. A qualitative study (June 2023–June 2024) with two female Montessori teachers of children aged 3–6 included interviews, observations, and visual documentation. Results show Montessori principles effectively engaged children, promoting independent and responsible car seat behaviour. The Ministry of Education should support integration through curriculum inclusion, training, and necessary resources.
DOI: 10.5281/zenodo.18373750
title: Reproduction Kit (GOLD) for: Conditioning the Dark Energy Equation of State in Planck 2018

description: This archive provides the frozen, publication-grade reproduction kit (GOLD) for the analysis presented in:

“Conditioning the Dark Energy Equation of State in Planck 2018: A Reproducible Support-Restriction Diagnostic in w_0CDM.”

The kit contains all materials required to reproduce the numerical results of the EP2 (Planck 2018 FULL likelihood) analysis, including:





MCMC chains for all runs (CTRL, CTRL2, restricted-support)




Cobaya YAML configuration files and run metadata




Jupyter notebooks that regenerate tables and figures




Posterior summaries and χ² breakdowns




Environment fingerprints (conda / package versions)



Scope and validity

All runs use the same Planck 2018 likelihood configuration:

TTTEEE_lite (Plik) + lowTT + lowEE + CMB lensing. χ² differences are only meaningful within the included run set (CTRL / CTRL2 / restricted-support). This dataset is frozen and should not be modified.

Relation to other datasets

This GOLD reproduction kit supersedes earlier SILVER / EP1p5 kits and corresponds to the publication-grade analysis. Earlier exploratory kits remain available as separate Zenodo records for historical transparency. The dataset is intended to support full numerical reproducibility and independent verification of the reported results.
DOI: 10.5281/zenodo.18373749
title: Reproduction Kit (GOLD) for: Conditioning the Dark Energy Equation of State in Planck 2018

description: This archive provides the frozen, publication-grade reproduction kit (GOLD) for the analysis presented in:

“Conditioning the Dark Energy Equation of State in Planck 2018: A Reproducible Support-Restriction Diagnostic in w_0CDM.”

The kit contains all materials required to reproduce the numerical results of the EP2 (Planck 2018 FULL likelihood) analysis, including:





MCMC chains for all runs (CTRL, CTRL2, restricted-support)




Cobaya YAML configuration files and run metadata




Jupyter notebooks that regenerate tables and figures




Posterior summaries and χ² breakdowns




Environment fingerprints (conda / package versions)



Scope and validity

All runs use the same Planck 2018 likelihood configuration:

TTTEEE_lite (Plik) + lowTT + lowEE + CMB lensing. χ² differences are only meaningful within the included run set (CTRL / CTRL2 / restricted-support). This dataset is frozen and should not be modified.

Relation to other datasets

This GOLD reproduction kit supersedes earlier SILVER / EP1p5 kits and corresponds to the publication-grade analysis. Earlier exploratory kits remain available as separate Zenodo records for historical transparency. The dataset is intended to support full numerical reproducibility and independent verification of the reported results.
DOI: 10.5281/zenodo.16889912
title: Supporting data for: "Impact of boiling liquid droplets: Vapor entrapment suppression"
DOI: 10.5281/zenodo.16889913
title: Supporting data for: "Impact of boiling liquid droplets: Vapor entrapment suppression"
DOI: 10.15468/dl.u9w64r
title: Occurrence Download

description: A dataset containing 23791 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Nekemias"
 ]
}

 The dataset includes 23791 records from 240 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011930-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18299181
title: Data related to paper "Growth and prediction of plastic strain in metallic glasses"

description: The generated raw simulation data related to paper "Growth and prediction of plastic strain in metallic glasses". The instructions for use are included in the README-file.

 

A.D.S.P., S.B., and M.J.A. are supported by the European Union Horizon 2020 research and innovation program under grant agreement no. 857470 and from the European Regional Development Fund via the Foundation for Polish Science International Research Agenda PLUS program grant No. MAB PLUS/2018/8. M.J.A. acknowledges support from the Academy of Finland (361245 and 317464) and from the Finnish Cultural Foundation.S.B. acknowledges support from the National Science Center in Poland through the SONATA BIS grant DEC-2023/50/E/ST3/00569 and from the Foundation for Polish Science in Poland through the FIRST TEAM FENG.02.02-IP.05-0177/23 project.T.M. and M.J.A. acknowledge support from the FinnCERES flagship (151830423), Business Finland (211835, 211909, and 211989), the Research Council of Finland (13361245), and Future Makers programs.The authors acknowledge the computational resources provided by the Aalto University School of Science “Science-IT” project.
DOI: 10.5281/zenodo.18299180
title: Data related to paper "Growth and prediction of plastic strain in metallic glasses"

description: The generated raw simulation data related to paper "Growth and prediction of plastic strain in metallic glasses". The instructions for use are included in the README-file.

 

A.D.S.P., S.B., and M.J.A. are supported by the European Union Horizon 2020 research and innovation program under grant agreement no. 857470 and from the European Regional Development Fund via the Foundation for Polish Science International Research Agenda PLUS program grant No. MAB PLUS/2018/8. M.J.A. acknowledges support from the Academy of Finland (361245 and 317464) and from the Finnish Cultural Foundation.S.B. acknowledges support from the National Science Center in Poland through the SONATA BIS grant DEC-2023/50/E/ST3/00569 and from the Foundation for Polish Science in Poland through the FIRST TEAM FENG.02.02-IP.05-0177/23 project.T.M. and M.J.A. acknowledge support from the FinnCERES flagship (151830423), Business Finland (211835, 211909, and 211989), the Research Council of Finland (13361245), and Future Makers programs.The authors acknowledge the computational resources provided by the Aalto University School of Science “Science-IT” project.
DOI: 10.15468/dl.r3xpez
title: Occurrence Download

description: A dataset containing 124 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brachioteuthis riisei",
 "HasCoordinate is true",
 "DecimalLatitude is greater than -90",
 "DecimalLatitude is less than 10",
 "DecimalLongitude is greater than -180",
 "OccurrenceStatus is Present",
 "Year is greater than or equal to 1950",
 "Year is less than or equal to 2014"
 ]
}

 The dataset includes 124 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011937-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15845819
title: Dataset for publication: Characterization of temperature influence on the structural built-up of 3D printed concrete

description: Implementation, data and results for the generation of the paper "Characterization of temperature influence on the structural build-up of 3D printed concrete" (https://link.springer.com/article/10.1617/s11527-025-02931-3).

To generate the results presented in the paper, install the environment (see code/readme.md) and run from the examples folder bash run_all.sh (select before which parts you want to run).  Different parts to be run can be modified by changing the parameters in the respective input yaml files.
DOI: 10.15468/dl.9kz3tz
title: Occurrence Download

description: A dataset containing 47579 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Osmorhiza"
 ]
}

 The dataset includes 47579 records from 498 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011932-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.thjaf7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Bathytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((47.4981 -25.2951,47.5481 -25.1504,44.9648 -25.1504,44.9648 -26.0621,45.53 -26.0805,46.4427 -25.6738,46.9062 -25.6462,47.4981 -25.2951))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010439-250525065834625/datasets/export for details.
DOI: 10.6084/m9.figshare.22399444.v1
title: Image Data

description: Phase contrast images of the <em>E. coli </em>colonies
DOI: 10.6084/m9.figshare.25060193.v1
title: Viral contigs of Virome Benchmark

description: The VLP sequencing data were then assembled using the selected assemblers. Default parameters were used unless otherwise stated. Briefly, for the NGS data, we used IDBA-UD (v1.1.4), MEGAHIT (v1.2.9), and metaSPAdes (v3.15.4). For the TGS data, we selected Canu (v2.2), FALCON (v1.8.1), Hifiasm-meta (v0.3), metaFlye (v2.9.1), and wtdbg2 (v2.5). For hybrid assembly that combines the NGS and TGS data, we used IDBA-hyb (v1.1.3), hybridSPAdes (v3.15.4), metaViralSPAdes (v3.15.4) and OPERA-MS (v0.83).Dereplication was performed on contigs obtained by each tool on each sample or multi-tools on all samples using cd-hit (v4.6.8) with a parameter of -c 0.99 according to a previous study. Viral contigs were then identified using a similar procedure to human Gut Virome Database (GVD), with modifications. Briefly, the following virus recognition software were firstly used, including VirSorter2 (v2.2.4), DeepVirFinder (v1.0), VirFinder (v1.1), Seeker, and PPR-Meta (v1.1) . Their parameters were listed as the following. 1. VirSorter score ≥ 0.7, 2. DeepVirFinder pvalue&lt;0.05, 3. VirFinder score &gt; 0.6, 4. Seeker with the default parameter, 5. PPR-Meta phage score &gt; 0.7. Secondly, a contig was considered as a virus if it passed at least two out the above five criteria and had sequence length &gt;1.5kb.<br>
DOI: 10.6084/m9.figshare.5813904.v1
title: Amici et al. 2008 Current biology_monkey data.xlsx

description: Individual level data from of an inhibitory control test battery with capuchin monkeys, spider monkeys, and long-tailed macaques (see Amici et al. 2008, Current Biology, Table 2).<br>
DOI: 10.17632/wkzbwdwbk9
title: Development of a leafy Brassica diallel to assess genetic architecture of consumer liking

description: Research data uploaded here provided the foundation for analysis of genotyping-by-sequencing (GBS), nutritional (carotenoid and glucosinolate), morphological, and consumer liking data generated from a diallel mating design of eight leafy B. oleracea genotypes. These data have been cleaned and formatted from raw datasets; they are ready for downstream analysis.
DOI: 10.6084/m9.figshare.25289806.v1
title: MICA nanobody sequences

description: Sequences of MICA-targeting nanobodies
DOI: 10.6084/m9.figshare.7436948.v2
title: Observational Photos and digitized files: Wing morphing allows gulls to modulate static pitch stability during gliding

description: Observational photos and text files of peripheral landmarks.<br>
DOI: 10.6084/m9.figshare.985916.v1
title: QUAST contig report

description: Contig report generated by QUAST describing location of contig mapping onto the reference genome (including the heterochromatic reference chromosome arms, but excluding the reference sequence Uextra) with NUCmer and contigs affected by putative mis-assembly.
DOI: 10.17632/gy7dkst6nm
title: Neave et al. 2020 - Long term consistency of personality traits of cattle (Royal Society Open Science)

description: We have provided the SAS code and data set with all variables (original and transformed) for each age period that were used as input variables in the 4 PCAs.
DOI: 10.17632/rd686vmr46
title: VASEEG_codes

description: Temporal Memory_VAS EEG_custom codes
DOI: 10.6084/m9.figshare.12144855.v1
title: Comparative genomics of Acinetobacter baumannii clinical strains from Brazil reveals polyclonal dissemination and selective exchange of mobile genetic elements associated with resistance genes

description: Acinetobacter baumannii is an opportunistic bacterial pathogen infecting immunocompromised patients and has gained attention worldwide due to its increased antimicrobial resistance. Here, we report a comparative whole-genome sequencing and analysis coupled with an assessment of antibiotic resistance of 46 Acinetobacter strains (45 A. baumannii plus one A. nosocomialis) originated from five hospitals from the city of Recife, Brazil, between 2010 and 2014.
DOI: 10.6084/m9.figshare.14414780.v4
title: Wrinkles - Data and analysis routine

description: Raw data for a manuscript relating to why our fingers go wrinkly when immersed in water.<br>
DOI: 10.6084/m9.figshare.19121735.v1
title: Supplementary Material for: Accuracy of a Novel Transcutaneous PCO<sub>2</sub> and PO<sub>2</sub> Sensor with Optical PO<sub>2</sub> Measurement in Neonatal Intensive Care: A Single-Centre Prospective Clinical Trial

description: <b><i>Background and Objectives:</i></b> Transcutaneous PCO<sub>2</sub> and PO<sub>2</sub> measurement systems offer non-invasive blood gas trend monitoring. The aim of this prospective study was to assess bias and precision of a transcutaneous PCO<sub>2</sub> and PO<sub>2</sub> measurement system incorporating a novel pO<sub>2</sub> sensor (Sentec OxiVenT™) in neonates ≥34 weeks of gestational age (GA) admitted to intensive care. <b><i>Methods:</i></b> Transcutaneous PCO<sub>2</sub> and PO<sub>2</sub> were compared to arterial and capillary blood gas measurements. Bias and precision were calculated by fitting linear mixed models to account for repeated measurements, and influence of clinical covariates on bias and precision was assessed. <b><i>Results:</i></b> We obtained 611 paired transcutaneous and blood gas measurements in 110 patients (median GA 38.3 [interquartile range 36.1–39.7] weeks; age 9 [4–15] days; weight 3,000 [2,500–3,500] g). Transcutaneous PCO<sub>2</sub> showed significant bias to arterial PCO<sub>2</sub> (+0.61; 95% confidence interval 0.46, 0.76 kPa), but not to capillary PCO<sub>2</sub> (−0.23; −0.46, 0.002 kPa). Bias of transcutaneous PO<sub>2</sub> was significant to arterial PO<sub>2</sub> (−2.50; −2.94, −2.06 kPa), while no significant bias compared to capillary PO<sub>2</sub> was observed (+0.17; −0.30, 0.64 kPa). Precision intervals were ±1.8/2.0 kPa for arterial versus capillary PCO<sub>2</sub> and ±4.9/3.3 kPa for arterial versus capillary PO<sub>2</sub> comparisons, respectively. Further, sensor operating temperature (43°C vs. 42°C), soft tissue oedema, vasoactive drugs, weight, and GA significantly altered bias (<i>p</i> &lt; 0.05). <b><i>Conclusions:</i></b> The tested transcutaneous blood gas measurement system showed no significant bias compared to capillary PCO<sub>2</sub> and PO<sub>2</sub>, acceptable bias to arterial PCO<sub>2</sub>, and limited agreement with arterial PO<sub>2</sub>. Precision intervals were wide for all comparisons.
DOI: 10.17632/hk8wf3d7m7
title: Supplementary Data for "GLP-1 Receptor Agonists and Risk of Adverse Cerebrovascular Outcomes in Type 2 Diabetes: A Systematic Review and Meta-Analysis of Randomized Controlled Trials"

description: sMethod 1. Search strategy
sTable 1. Baseline characteristics of studies and participants included
sTable 2. Risks of bias assessment of eligible studies 
sTable 3. Subgroup analysis to study effect of factors on association of GLP-1RAs treatment with adverse cerebrovascular outcomes 
sTable 4. GRADE summary of findings for outcomes in the meta-analysis
sFigure 1. PRISMA flow diagram
sFigure 2. Risks of adverse cerebrovascular outcomes in patients treated with GLP-1 RAs compared with controls
sFigure 3A-B: Risks of stroke (fatal or nonfatal) outcomes in patients treated with GLP-1 RAs compared with placebo 
[3A: pooled risk ratios, 3B: pooled hazard ratio]
sFigure 4: Risks of fatal stroke outcomes in patients treated with GLP-1 RAs compared with placebo
sFigure 5: Risks of nonfatal stroke outcomes in patients treated with GLP-1 RAs compared with placebo
sFigure 6. Risks of ischemic stroke outcomes in patients treated with GLP-1 RAs compared with controls
sFigure 7. Risks of composite of ischemic stroke or transient ischemic attacks in patients treated with GLP-1 RAs compared with controls
sFigure 8. Risks of hemorrhagic stroke in patients treated with GLP-1 RAs compared with controls 
sFigure 9. Effect of nature of trials on risks of adverse cerebrovascular outcomes in patients treated with GLP-1 RAs versus controls
sFigure 10: Effect of control group on risks of adverse cerebrovascular outcomes in patients treated with GLP-1 RAs versus controls
sFigure 11: Effect of structural homology of GLP-1RAs on risks of adverse cerebrovascular outcomes in patients treated with GLP-1 RAs versus controls 
sFigure 12: Effect of treatment duration on risks of adverse cerebrovascular outcomes in patients treated with GLP-1 RAs versus controls
sFigure 13A-E: Effect of baseline characteristics of trial participants on risks of adverse cerebrovascular outcomes in patients treated with GLP-1 RAs versus controls [13A: Age; 13B: BMI; 13C: eGFR; 13D: HbA1c; 13E: Diabetes duration]
sFigure 14. Effect of individual GLP-1RAs on adverse cerebrovascular outcomes
sFigure 15. Sensitivity analysis of effects of GLP-1RAs on adverse cerebrovascular outcomes after excluding RCTs on lixisenatide 
sFigure 16. Funnel plots and Egger’s test results of all trials for each outcome reported
DOI: 10.6084/m9.figshare.27618387.v1
title: 原始data.xlsx

description: 致力于研究湿地温室气体产生过程及其相关的生物地球化学循环。