This dataset contains simulation data from the paper "Entropic size control of self-assembled filaments". The data is stored in HDF5 format using the JLD2 Julia package. The data can be accessed with Julia, using the following code snipped. using JLD2, DataFramesjulia> load("entropic_sizecontrol.jld2") Dict{String, Any} with 6 entries: "sensitivity/cross" => 11000×6 DataFrame… "sensitivity/concentrations" => 6000×7 DataFrame… "sheets/filament_lengths" => [96, 100, 142, 81, 127, 150, 114, 128, 65, 92 … 91, 81, 63, 10… "sensitivity/main" => 10978×6 DataFrame… "kinetics" => 9×12 DataFrame… "sheets/singlespecies_sheets" => Dict(592003=>[25235], 595499=>[95210, 109746], 598219=>[129069],… CONTENT `kinetics` contains data of the kinetic simulations in Fig.3 of the paper. `sheets` contains data of the sheet assembly in Fig.4 of the paper. `filament_lengths` contains the lengths of the 200.000 1d filaments from which the sheet assembly begins. `singlespecies_sheets` contains a list of 16826 "single-species" sheets, each composed out of a number of 1d filaments. The format of `singlespecies_sheets` is a dictionary, where each entry corresponds to an individual sheet. The keys are arbitrary integers and the values contain the indices of the 1d filaments that make up each sheet. The length of these filaments can be obtained by indexing into `filament_lengths`. From these single-species sheets, the distribution of multi-species sheets was obtained by resampling them in groups of ten, as explained in the paper. `sensitivity` contains data of the sensitivity analysis in Fig.5 of the paper. `main` contains data with noise on the main binding energies. `cross` contains data with non-specific crosstalk interactions. `concentrations` contains data with noise on the particle concentrations.