Metrics
1,184,072 Downloads
Contact Share
Featured Dataverses

In order to use this feature you must have at least one published dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

1 to 10 of 60 Results
ISWI1 complex proteins facilitate developmental genome editing in Paramecium
Jun 12, 2024
Singh, Aditi; Häußermann, Lilia; Swart , C. Estienne, 2023, "ISWI1 complex proteins facilitate developmental genome editing in Paramecium", https://doi.org/10.17617/3.ZBOLU8, Edmond, V3
Quantifying single cell lipid signaling kinetics after photo-stimulation
Mar 28, 2024
Gonzales, David Thomas, 2023, "Quantifying single cell lipid signaling kinetics after photo-stimulation", https://doi.org/10.17617/3.3JM5WX, Edmond, V3
Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'
Mar 22, 2024
Krueger, Matteo; Berkemeier, Thomas, 2023, "Code and data for the manuscript 'A numerical compass for experiment design in chemical kinetics and molecular property estimation'", https://doi.org/10.17617/3.D5PCQK, Edmond, V3
The numerical compass (NC) method integrates kinetic models, global optimization, ensemble methods, and machine learning to identify experimental conditions with the greatest potential to constrain kinetic parameters. The approach is based on the quantification of model output va...
Data and Code for Understanding the Role of Naive Learners in Cultural Change
Jan 30, 2024
Chimento, Michael, 2023, "Data and Code for Understanding the Role of Naive Learners in Cultural Change", https://doi.org/10.17617/3.RLRJZC, Edmond, V2
These are the data and code to reproduce the simulations and figures from the manuscript "Understanding the Role of Naive Learners in Cultural Change" by Michael Chimento and Lucy Aplin. This is a simulation study where both social transmission and reinforcement learning are comb...
Experimental and computational data from MoS-ion deposition on graphene
Jan 17, 2024
Zhang, Xuejiao, 2023, "Experimental and computational data from MoS-ion deposition on graphene", https://doi.org/10.17617/3.O1RHX5, Edmond, V2
XYZ structures and trajectories for MoS-ions and molecules modeling, as well as the molecular dynamics at the level of Density Functional Theory.
Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"
Jan 10, 2024
Jin, Zhijing, 2023, "Supplementary data for Corr2Cause: "Can Large Language Models Infer Causation from Correlation?"", https://doi.org/10.17617/3.VYGWHY, Edmond, V3
Paper: "Can Large Language Models Infer Causation from Correlation?" (2023) by Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab*, Bernhard Schölkopf*. (http://arxiv.org/abs/2306.05836) Abstract: Causal inference is one of the hallmarks...
The Sun's differential rotation is controlled by high-latitude baroclinically unstable inertial modes
Dec 21, 2023
Bekki, Yuto; Robert Cameron; Laurent Gizon, 2023, "The Sun's differential rotation is controlled by high-latitude baroclinically unstable inertial modes", https://doi.org/10.17617/3.SSRYIM, Edmond, V1
The simulation output data for reproducing the results reported in the publication "The Sun's differential rotation is controlled by high-latitude baroclinically unstable inertial modes" by Bekki, Cameron, and Gizon.
Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"
Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"
Dec 18, 2023
Fortmann-Grote, Carsten; Gericke, Beate Constanze; Werth, Sören; Degner, Finn; Hüttmann, Tom, 2023, "Supplementary Material for "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for Pseudomonas fluorescens SBW25"", https://doi.org/10.17617/3.MCK0KK, Edmond, V1
This upload contains all raw data, trained tensorflow models, and python code used for training and validation of deep learning image segmentation as described in the forthcoming paper "Performance Review of Retraining and Transfer Learning of DeLTA 2.0 for Image Segmentation for...
MD simulations and energy minimizations of cellulose crystals
Dec 17, 2023
Kullmann, Richard; Weikl, Thomas, 2023, "MD simulations and energy minimizations of cellulose crystals", https://doi.org/10.17617/3.1FPW2C, Edmond, V1
Microsecond-long simulations trajectories and results from energy minimizations for cellulose Ibeta and II crystals composed of 52 chains of cellulose 6-mers, 8-mers, 10-mers, or 12-mers.
deTEL singularity container and supplementary datasets 1-4
Dec 5, 2023
Toth-Petroczy, Agnes, 2023, "deTEL singularity container and supplementary datasets 1-4", https://doi.org/10.17617/3.6RVSR5, Edmond, V2
Singularity container of deTEL (deciphering Translation Error Landscape): eTEL - empirical Translation Error Landscape (detecting amino acid misincorporations from mass spectrometry data), mTEL - mechanistic Translation Error Landscape (modeling tRNA misincorporation probabilitie...
Add Data

Sign up or log in to create a dataverse or add a dataset.

Sign Up Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.