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}ETH Zürich Research Collection2027 · Image data
Functional benchmarking across ten chondrogenic cell sources reveals cartilage regeneration ranging from fibrocartilaginous to near-native tissueETH Zürich Research Collection2026 · Table · CSV
Code for publication GREAT: Grassmannian REcursive Algorithm for Tracking & Online System IdentificationETH Zürich Research Collection2026 · Crystal structure
Supplemental Material: Treatment of human oocytes with extracellular vesicles from follicular fluid during rescue in vitro maturation enhances maturation rates and modulates oocyte proteome and ultrastructureNCL Data2026 · dataset
<p>Combined individual and household/contextual multilevel multinomial logistic regression results (Model 3).</p><p>Combined individual and household/contextual multilevel multinomial logistic regression results (Model 3).</p>
NCL Data2026 · Astronomical catalogue
<p>Classification accuracy, F1-score, and AUC results for all feature sets and classifiers (mean± standard deviation over 10 runs).</p><p>Classification accuracy, F1-score, and AUC results for all feature sets and classifiers (mean± standard deviation over 10 runs).</p>
NCL Data2026 · dataset
Investigating training program interactions that predict hazard anticipation skills for novice teen drivers<p>Teenage drivers have high crash risks, and novice teenage drivers i.e., recently licensed drivers, have four times the overall risk of more experienced drivers. This cohort’s crash risk decreases significantly over the first 6–12 months after licensure underscoring the role that learning may play in this safety improvement, i.e., <i>via</i> increased exposure and experience, especially with dri
NCL Data2026 · dataset
Mixture of Directed Graphical Models for Discrete Spatial Random Fields<p>Current approaches for modeling discrete-valued outcomes associated with spatially-dependent areal units incur computational and theoretical challenges, especially in the Bayesian setting when full posterior inference is desired. As an alternative, we propose a novel statistical modeling framework for this data setting, namely a mixture of directed graphical models (MDGMs). The components of th
NCL Data2026 · dataset
<p>GNNExplainer of genes.</p><div><p>Colorectal cancer (CRC) is one of the most lethal malignancies worldwide, and the precise identification of biomarkers from colonic adenoma to cancer is of great significance for preventing the development of adenocarcinoma. Given that existing methods inadequately capture the topological network relationships among genes, this study proposes a graph neural network model based on multifeat
NCL Data2026 · dataset
robustness_check from Evolutionary dynamics of a four-stakeholder ecosystem for misinformation governance on short-video platformsrobustness_check.m
NCL Data2026 · dataset
<p>Genotype and allelic frequency distribution among cases and controls for combinations of GSTs and their possible association with ESRD. Chi-square test was applied to compare the genotype and allelic frequency between case and controls.</p><p>Genotype and allelic frequency distribution among cases and controls for combinations of GSTs and their possible association with ESRD. Chi-square test was applied to compare the genotype and allelic frequency between case and controls.</p>
NCL Data2026 · dataset
Priloga S2<p dir="ltr">SLO: Datoteka vsebuje filtrirane genetske različice vključene družine Wye Target x BL2/1 in testnih genotipov v zapisu VCF, ki smo jih pripravili z uporabo orodja TASSEL 5 v okviru doktorske naloge. Variante smo filtrirali glede na naslednja merila: največji dopusten delež manjkajočih podatkov na mestu SNP smo določili pri 35,5 %, prag frekvence redkega alela (MAF) pri 0,05, najmanjšo
NCL Data2026 · dataset
<p>Comparison experiment table.</p><div><p>Colorectal cancer (CRC) is one of the most lethal malignancies worldwide, and the precise identification of biomarkers from colonic adenoma to cancer is of great significance for preventing the development of adenocarcinoma. Given that existing methods inadequately capture the topological network relationships among genes, this study proposes a graph neural network model based on multifeat
NCL Data2026 · dataset
Priloga L<table><tr><td><p dir="ltr">SLO: V datoteki so zbrani posamezni SNP in njihove izračunane vrednosti pomembnosti, določene z modelom naključnih gozdov (Random Forest). Podatki so razdeljeni v dva zavihka glede na obravnavani haplotip: p1 in p2. Vsak zavihek vsebuje seznam SNP ter pripadajoče vrednosti njihove pomembnosti v modelu. Višja vrednost pomembnosti predstavlja večji relativni prispevek pos
NCL Data2026 · dataset
Priloga M<p dir="ltr">SLO: V podatkovni datoteki so zbrani SNP, identificirani z različnimi statističnimi pristopi. Tabela vključuje SNP, ki pri analizah z metodama BLINK ali FarmCPU in MLM Tassel presegajo raziskovalni prag pomembnosti p < 0,001. Poleg tega so v tabelo vključeni tudi SNP, uvrščeni med deset najpomembnejših SNP po modelu naključnih gozdov (Random Forest, RF)</p><p dir="ltr">EN: The dataset
NCL Data2026 · dataset
<p>Balanced accuracy of the best machine learning models. The model architecture and statistical feature test are listed.</p><p>Balanced accuracy of the best machine learning models. The model architecture and statistical feature test are listed.</p>
NCL Data2026 · dataset
<p>Distribution of maternal health service utilization by sample characteristics (weighted chi-squared results).</p><p>Distribution of maternal health service utilization by sample characteristics (weighted chi-squared results).</p>
NCL Data2026 · dataset
<p>Association of women’s education and wealth with sanitary napkin use among women aged 15-49 years in Bangladesh, 2019.</p><p>Association of women’s education and wealth with sanitary napkin use among women aged 15-49 years in Bangladesh, 2019.</p>
NCL Data2026 · dataset
<p>Full ranked lists of predicted synergistic (S4) and antagonistic (S5) drug pairs generated by the final HALO model for combinations absent from the training set.</p><p>Full ranked lists of predicted synergistic (S4) and antagonistic (S5) drug pairs generated by the final HALO model for combinations absent from the training set.</p>
NCL Data2026 · dataset
<p>Predictive performance of three models in LANPC patients.</p><p>Predictive performance of three models in LANPC patients.</p>
NCL Data2026 · dataset
Priloga R<p dir="ltr">SLO: Datoteka vsebuje preglednico s podatki o sekvenciranju testnih genotipov in rezultatih mapiranja zaporedij na oba haplotipa sorte Apollo.</p><table><tr><td><p dir="ltr">EN: This file contains a table with sequencing data for the test genotypes and sequence-mapping results for both haplotypes of the Apollo cultivar.</p></td></tr></table><p></p>
NCL Data2026 · dataset
<p>Raw model performance results across feature selection methods and population groups.</p><p>This table contains the complete set of unfiltered machine-learning model outputs, including balanced accuracy (BA), average precision (AP), false positive rate (FPR), and false negative rate (FNR). Results are reported across multiple feature selection techniques, model types, random seeds, and population strata.</p> <p>(CSV)</p>
NCL Data2026 · dataset
Priloga I2<p dir="ltr">SLO: Datoteka vsebuje tabelo SNP s statistično značilnostjo p < 0,001 za posamezne uporabljene modele in za oba haplotipa, P1 in P2. Vsak zavihek predstavlja en model ter vključuje SNP, ki so v tem modelu dosegli navedeni prag značilnosti. Za primerjavo so ob posameznem SNP prikazane tudi p-vrednosti, pridobljene z drugimi modeli.</p><p dir="ltr">EN: This file contains a table of SNPs
NCL Data2026 · dataset
<p>Effects of the 8-week indoor cycling (spinning) exercise program on anthropometric measurements (n = 40).</p><p>Effects of the 8-week indoor cycling (spinning) exercise program on anthropometric measurements (n = 40).</p>
NCL Data2026 · dataset
<p>Experimental data for <i>P. aeruginosa</i> exposed to tetracycline.</p><p>Experimental data for <i>P. aeruginosa</i> exposed to tetracycline.</p>
NCL Data2026 · dataset
<p>External validation performance across bacterial dominance boundaries.</p><p>This table reports balanced accuracy (BA) from validation analyses comparing pairwise bacterial dominance boundaries (e.g., non-Lactobacillus taxa versus Lactobacillus species and combined Lactobacillus groups). Results are presented for the total sample and stratified population groups, providing an external assessment of model generalizability across taxonomic contrasts and demographic strata