1. BASEveg: a python package to model riparian vegetation dynamics coupled with river morphodynamics, tutorial dataset 

   Caponi, Francesco (2023)

   Model

2. Traffic Simulations for Boston, Lisbon, Los Angeles, Rio de Janeiro, San Francisco 

   Ambühl, Lukas; Menéndez, Mónica; González, Marta C. (2022)

   Files to run traffic simulation of five large-scale cities in the open-source simulator SUMO. Includes: - car network as net.xml - car traffic demand as 24h trip-based demand - configuration file to run the simulations on SUMO

   Model

3. Vision Transformer model trained on immune cells 

   Hanimann, Gian Jacob; Pfaendler, Ramon; Snijder, Berend (2022)

   Model

4. Scripts for the article "Drivers of intermodel uncertainty in land carbon sink projections" 

   Padrón Flasher, Ryan; Gudmundsson, Lukas; Liu, Laibao; et al. (2022)

   Scripts for data processing and plotting within the analysis of the drivers of intermodel uncertainty in land carbon sink projections.

   Model

5. Transcrustal 3-D electrical conductivity model of the Central Main Ethiopian Rift 

   Dambly, Marie Luise Texas; Samrock, Friedemann; Grayver, Alexander; et al. (2022)

   Model

6. rescoss_logp_ml saved models 

   Isert, Clemens (2022)

   Model

7. Modelling data and codes used in Ritz et al., 2022 ('Transient evolution of the relative size distribution of earthquakes as a risk indicator for induced seismicity') 

   Ritz, Vanille; Rinaldi, Antonio Pio; Wiemer, Stefan (2022)

   Model

8. FACT Benchmarking - The Benchmarking Baseline Models of the Finitary Abstraction Comprehension Toolkit 

   Schenker, Flavio; Belcák, Peter; Kastrati, Ard (2022)

   Model

9. Data for Manuscript, Portmann et al. (2022): Global forestation and deforestation affect remote climate via adjusted atmosphere and ocean circulation, Nature Communications 

   Portmann, Raphael (2022)

   Model

10. Traffic Model of Mahé, Seychelles 

    Schaniel, Joel; Makridis, Michail; Krütli, Pius; et al. (2022)

    Model

11. ACSICON ADN model data 

    Fuchs, Alexander; Larsson, Mats; Demiray, Turhan (2022)

    The dataset contains the aggregated distribution network (ADN) models developed in the research project "ACSICON" and published in the paper [1]. The zip files contains data for different penetration levels for grid-forming converters (as defined in [1]), ranging from 5% to 100%. The csv-files, e.g., ABCD_5.csv, contain a 6x6 matrix describing the LTI model in block form [A,B; C, D]. The LTI model has 4 dynamic states (A has dimension ...

    Model

12. Personalised pose estimation from single-plane moving fluoroscope images using deep convolutional neural networks 

    Vogl, Florian; Schütz, Pascal; Postolka, Barbara; et al. (2022)

    Codes and Model for the publication "Personalised pose estimation from single-plane moving fluoroscope images using deep convolutional neural networks"

    Model

13. Code and data availability of the article "Influence of GEOTRACES data distribution and misfit function choice on objective parameter retrieval in a marine zinc cycle model" 

    Eisenring, Claudia; Oliver, Sophy E.; Khatiwala, Samar; et al. (2022)

    Model

14. Input model files for paper "The effects of plate interface rheology on subduction kinematics and dynamics" 

    Behr, Whitney M. (2022)

    Model

15. 3D heat transfer model 

    Leith, Kerry; Li, Ying (2022)

    In order to evaluate temperature distribution over elements involved in uniaxial compression assembly and subjected to heating via an increase of air temperature within the climate chamber, we set up a 3D heat transfer model in COMSOL. A cylindrical aluminium specimen was constrained by steel loading plates, of which the top and bottom surfaces are set to room temperature as they are in contact with the air outside the climate chamber, ...

    Model

16. Bio-economic model on benefits of increasing information accuracy in variable rate technologies 

    Späti, Karin; Huber, Robert; Finger, Robert (2021)

    This bio-economic modeling framework assesses the benefits of different sensor approaches to measuring environmental heterogeneity in the field, ranging from the use of satellite imagery to drones and portable N sensors, in variable rate fertilization. The model is described in detail in the following article: Späti, K., Huber, R., & Finger, R. (2021). Benefits of Increasing Information Accuracy in Variable Rate Technologies. Ecological ...

    Model

17. Supplementary Material of "Impacts of a Revised Surface Roughness Parameterization in the Community Land Model 5.1" 

    Meier, Ronny; Duveiller, Grégory; Davin, Edouard Léopold; et al. (2021)

    The roughness of the land surface (z0) is a key property for the amount of turbulent activity above the land surface and through that for the turbulent exchange of energy, water, omentum, and chemical species between the land and the atmosphere. Variations in z0 are substantial across different types of land cover from typically less than 1 mm over fresh snow or sand deserts up to more than 1 m over urban areas or forests. In this study, ...

    Model

18. Model data set for "Transient slow slip characteristics of frictional-viscous subduction megathrust shear zones" 

    Behr, Whitney (2021)

    Model

19. ROMS+NPZD model data (pt.2): additional data 

    Lovecchio, Elisa (2021)

    These data are derived from the same model run and are intended as complementary to the data stored on: https://www.research-collection.ethz.ch/handle/20.500.11850/278536 (doi: https://doi.org/10.3929/ethz-b-000278536) Files contain surface velocities, fluxes at the edge of the euphotic layer, nutrient content and NCP of the euphotic layer (E.L. = 100 m depth).

    Model

20. BASEMENT v3, a modular freeware for river process modelling: test cases collection 

    Vanzo, Davide; Bürgler, Matthias; Conde, Daniel; et al. (2021)

    Model

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