diff --git a/.gitignore b/.gitignore
index 1badf7f..6e8ddd9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -3,6 +3,10 @@
 *.jl.mem
 /Manifest.toml
 /docs/build/
+/docs/Manifest.toml
+/test/Manifest.toml
+/docs/src/literate/*/*.md
+/docs/src/generated
 /sampleData/
 /sampleData.tar.gz
 /Data/
diff --git a/docs/Manifest.toml b/docs/Manifest.toml
deleted file mode 100644
index b284a63..0000000
--- a/docs/Manifest.toml
+++ /dev/null
@@ -1,1161 +0,0 @@
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diff --git a/docs/Project.toml b/docs/Project.toml
index cf2215b..f65b769 100644
--- a/docs/Project.toml
+++ b/docs/Project.toml
@@ -1,4 +1,9 @@
 [deps]
-DataDeps = "124859b0-ceae-595e-8997-d05f6a7a8dfe"
+CSV = "336ed68f-0bac-5ca0-87d4-7b16caf5d00b"
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Documenter = "e30172f5-a6a5-5a46-863b-614d45cd2de4"
+Glob = "c27321d9-0574-5035-807b-f59d2c89b15c"
+Literate = "98b081ad-f1c9-55d3-8b20-4c87d4299306"
+LiveServer = "16fef848-5104-11e9-1b77-fb7a48bbb589"
+Unfold = "181c99d8-e21b-4ff3-b70b-c233eddec679"
 UnfoldBIDS = "b54e767b-1ebd-4480-ac2a-f5f4d8853074"
diff --git a/docs/dataDeps.jl b/docs/dataDeps.jl
deleted file mode 100644
index 830bf39..0000000
--- a/docs/dataDeps.jl
+++ /dev/null
@@ -1,9 +0,0 @@
-register(DataDep("EEG8bit",
-"""
-Dataset: 8bits preprocessed
-Website: https://wordnet.princeton.edu/wordnet
-""",
-"benediktehinger.de/upload/8bit.zip";
-post_fetch_method = unpack
-));
-
diff --git a/docs/literate/HowTo/ApplyPreprocessing.jl b/docs/literate/HowTo/ApplyPreprocessing.jl
new file mode 100644
index 0000000..f3ce443
--- /dev/null
+++ b/docs/literate/HowTo/ApplyPreprocessing.jl
@@ -0,0 +1 @@
+# # Apply MNE preprocessing
\ No newline at end of file
diff --git a/docs/literate/reference/BIDS.jl b/docs/literate/reference/BIDS.jl
new file mode 100644
index 0000000..b7662de
--- /dev/null
+++ b/docs/literate/reference/BIDS.jl
@@ -0,0 +1,38 @@
+# # Brain Imaging Data Structure
+# If you are using UnfoldBIDS we assume you are already familiar with the BIDS format.
+# However, since the package only works if your dataset is BIDS formatted, here is a quick reminder.
+# If you want a more in-depth explanation, please refer to the official [BIDS documentation](https://bids-specification.readthedocs.io/en/stable/)
+
+# ## Folder Structure
+# Folders have to follow the following structure:
+
+#       |-BIDS-Root/
+#           |--- [required meta files]
+#           |--- sub-<label>/
+#               |--- eeg/
+#                   |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_eeg.<extension>
+#                   |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_eeg.json
+#                   |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_events.json
+#                   |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_events.tsv
+#           |--- derivatives/ <- for (pre-processed data)
+#              |--- [required meta files]
+#              |--- sub-<label>/
+#                   |--- eeg/
+#                       |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_eeg.<extension>
+#                       |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_eeg.json
+#                       |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_events.json
+#                       |--- sub-<label>[_ses-<label>]_task-<label>[_acq-<label>][_run-<index>]_events.tsv
+
+# ## File formats
+# By BIDS standard your files have to be in one of the following formats:
+# *EEG*
+# - edf (European Data Fromat; single file)
+# - vhdr (BrainVision format; file triplet of .vhdr, .vmrk and .eeg)
+# - set (EEGLAB saved file; .fdt file optional)
+# - fif (MNE save file; not BIDS conform, but implemented for convenience)
+#
+# *Events*
+# UnfoldBIDS.jl will automatically try to load accompanying events.tsv files. Loading events from the EEG data files is currently not supported, and not BIDS conform.
+
+# ## BIDS Transformation
+# If your dataset is not yet BIDS conform you can use [MNE-BIDS](https://mne.tools/mne-bids/v0.5/index.html) to transform your data.
\ No newline at end of file
diff --git a/docs/literate/reference/overview.jl b/docs/literate/reference/overview.jl
new file mode 100644
index 0000000..9120f70
--- /dev/null
+++ b/docs/literate/reference/overview.jl
@@ -0,0 +1 @@
+# # Toolbox overview
\ No newline at end of file
diff --git a/docs/literate/tutorials/quickstart.jl b/docs/literate/tutorials/quickstart.jl
new file mode 100644
index 0000000..160ef7b
--- /dev/null
+++ b/docs/literate/tutorials/quickstart.jl
@@ -0,0 +1,37 @@
+# # 1. Quickstart
+
+using UnfoldBIDS
+
+# ## Loading data
+
+# To load use UnfoldBIDS to find the paths to all subject specific data you can uye the bidsLayout function:
+
+# ```julia
+# path_to_bids_root = "/store/data/2023EEGManyLabs"
+# layout_df = bidsLayout(path_to_bids_root, derivative=false)
+# ```
+# This will give you a DataFrame containing the paths too the eeg files of all subjects plus their accompanying event files
+
+# !!! note
+#       Since we set the derivative keyword to false here UnfoldBIDS will only look for the raw EEG files. However, by default UnfoldBIDS assumes you have preprocessed data in a derivatives folder and try to look for those.
+
+# Subsequently, you can load the data of all subjects into memory
+
+# ```julia
+# eeg_df = load_bids_eeg_data(layout_df)
+# ```
+#
+# !!! note
+#       The data is not actually loaded into memory, but uses MNE's lazy loading functionality.
+
+# Lastly, current functionality only supports explicit loading of the events. In the future this will be done automatically with the previous step.
+
+# ```julia
+# events_df = load_events(layoutDF)
+# ```
+
+# ## Run unfold type models
+
+# ```julia
+# resultsAll = runUnfold(eeg_df, events_df, bfDict; channels=nothing, eventcolumn="trial_type")
+# ```
\ No newline at end of file
diff --git a/docs/make.jl b/docs/make.jl
index 65ac0ce..d8fee43 100644
--- a/docs/make.jl
+++ b/docs/make.jl
@@ -1,27 +1,48 @@
 using UnfoldBIDS
 using Documenter
+using Glob
+using Literate
 
-using DataDeps
-include("dataDeps.jl")
 
-DocMeta.setdocmeta!(UnfoldBIDS, :DocTestSetup, :(using UnfoldBIDS); recursive=true)
+GENERATED = joinpath(@__DIR__, "src", "generated")
+SOURCE = joinpath(@__DIR__, "literate")
+
+for subfolder ∈ ["explanations", "HowTo", "tutorials", "reference"]
+    local SOURCE_FILES = Glob.glob(subfolder * "/*.jl", SOURCE)
+    #config=Dict(:repo_root_path=>"https://github.com/unfoldtoolbox/UnfoldBIDS")
+    foreach(fn -> Literate.markdown(fn, GENERATED * "/" * subfolder), SOURCE_FILES)
+
+end
+
+
+DocMeta.setdocmeta!(UnfoldBIDS, :DocTestSetup, :(using UnfoldBIDS); recursive = true)
 
 makedocs(;
-    modules=[UnfoldBIDS],
-    authors="Rene Skukies, Benedikt Ehinger, Jan Haas",
-    repo="https://github.com/reneskukies/UnfoldBIDS.jl/blob/{commit}{path}#{line}",
-    sitename="UnfoldBIDS.jl",
-    format=Documenter.HTML(;
-        prettyurls=get(ENV, "CI", "false") == "true",
-        canonical="https://reneskukies.github.io/UnfoldBIDS.jl",
-        assets=String[],
+    modules = [UnfoldBIDS],
+    authors = "René Skukies, Benedikt Ehinger",
+    #repo="https://github.com/unfoldtoolbox/UnfoldBIDS.jl/blob/{commit}{path}#{line}",
+    repo = Documenter.Remotes.GitHub("unfoldtoolbox", "UnfoldBIDS.jl"),
+    sitename = "UnfoldBIDS.jl",
+    format = Documenter.HTML(;
+        prettyurls = get(ENV, "CI", "false") == "true",
+        canonical = "https://unfoldtoolbox.github.io/UnfoldBIDS.jl",
+        edit_link = "main",
+        assets = String[],
     ),
-    pages=[
+    pages = [
         "Home" => "index.md",
+        "Tutorials" => [
+            "Quickstart" => "generated/tutorials/quickstart.md",
+        ],
+        "Reference" => [
+            "Overview: Toolbox Functions" => "./generated/reference/overview.md",
+            "Brain Imaging Data Structure" => "./generated/reference/BIDS.md"
+        ],
+        "HowTo" => [
+            "Apply preprocessing functions" => "./generated/HowTo/ApplyPreprocessing.md",
+        ],
+        "DocStrings" => "api.md",
     ],
 )
 
-deploydocs(;
-    repo="github.com/reneskukies/UnfoldBIDS.jl",
-    devbranch="main",
-)
+deploydocs(; repo = "github.com/unfoldtoolbox/UnfoldBIDS.jl", devbranch = "main")
diff --git a/docs/run_liveserver.jl b/docs/run_liveserver.jl
new file mode 100644
index 0000000..a7f5433
--- /dev/null
+++ b/docs/run_liveserver.jl
@@ -0,0 +1,10 @@
+using LiveServer
+
+dr = filter(isdir, readdir(joinpath("src", "generated"), join = true))
+push!(dr, "./build")
+servedocs(
+    skip_dirs = dr,
+    literate_dir = joinpath("literate"),
+    foldername = ".",
+    host = "0.0.0.0",
+)
diff --git a/docs/src/BIDS_example.md b/docs/src/BIDS_example.md
deleted file mode 100644
index d4cbea0..0000000
--- a/docs/src/BIDS_example.md
+++ /dev/null
@@ -1,219 +0,0 @@
-# Working example of Unfold BIDS
-=> Add an Artifact of one 8-bit subject (maybe downsamples, less channels to save space) using Artifacts.jl (dont ask Bene, but explain it to him how it works ;-)).
-
-TODO: Make one subject into tar file (including BIDS structure)
-    Usage: make tar.gz archive of data; upload to repo; make entry in Artifacts.toml with create_artifact, bind_artifact and artifact_hash
-
-```julia
-using Unfold, UnfoldBIDS
-using DataFrames
-```
-
-## Parameter setting
-First we need to set some basic Parameter, like the path to our Data:
-```julia
-
-# the base bids folder, ...
-loc = datadep"EEG8bit"
-
-# the subjects involved, ...
-subs = ["001","002","003"];
-
-# the tasks performed, ...
-tasks = ["ContinuousVideoGamePlay"];
-
-# the runs ...
-runs = ["02"];
-
-# as well as the file type used to store the eeg data, denoted by its file ending (without the dot)
-fileEnding = "vhdr";
-```
-
-
-As well as which data we are actually interested in. 
-
-Passing an empty array would in using all 63 channels of the example dataset.\
-**Note**: This is no real "choose all channels" behaviour yet. Will be implemented in the future.
-
-
-
-```julia
-# Channel
-
-interesting_channels = ["Cz"];
-
-# events that should be ignored due to e.g. low sample size
-drop_events = ["STATUS","GAME OVER","GAME START"];
-
-# basic time around an event used for epoching and default basis functions (in seconds)
-tau = (-0.5, 1.0);
-```
-
-And lasty some plotting Parameters:
-```julia
-# what dataframe columns to use for the x and y axes of the ERP plots
-basic_mapping = mapping(:colname_basis => "Time from Event (s)",:estimate => "Estimate (μV)");
-
-# for a larger number of channels, laying out the plots gets incredibly slow, so only execute manually what you need
-auto_render_cutoff = 3;
-```
-## Script work
-Now we can start processing our data
-```julia
-
-
-results_r = DataFrame();
-results_e = DataFrame();
-
-positions = nothing;
-
-# For now use all channels
-# if isempty(interesting_channels) interesting_channels = [1:63;]; end;
-
-# for s in subs
-# for t in tasks
-# for r in runs
-
-#for testing purposes; also comment in/out the triple "end" at the end of the Using Unfold part
-s = subs[1];
-t = tasks[1];
-r = runs[1];
-
-# fun with bids
-currentLoc = loc * "/sub-" * s * "/eeg/sub-" * s * "_task-" * t * "_run-" * r;
-```
----
-#  Formulas and Functions 1
----
-If you've read the main Unfold documentation you know that we will need to specify basis functions for the different events. This can be done like below.\
-Note that we will pass an empty dict, which results in all events getting the default values `(@formula( 0 ~ 1 ), firbasis(τ=(-0.4, .8), sfreq=raw.info["sfreq"], name=evt_name))` assigned.\
-An example entry would look like this: `"EventA" => (@formula( 0 ~ 1 + Covariate ),firbasis(τ=tau, sfreq=500, name="EventA"))`
-
-
-The same goes for the epoched based analysis, where the default corresponds to `term(0) ~ term(0) + term(evt_name)`\
-Note that for code simplicity all formulas should have at least two terms on the right side, even if one is 0, as in this example: `@formula(0 ~ 0 + EventA)`
-```julia
-bfDict = Dict{String,Tuple{FormulaTerm, Unfold.BasisFunction}}(
-);  #bfDict end
-
-epochedFormulas = [
-];  #epochedFormulas end
-```
-
-##  Raw Data Processing
-Now let's load the raw data and add additional information to get it into a format that Unfold can work with.
-
-```julia
-evts_set, evts, raw_data, sfreq = loadRaw(currentLoc, fileEnding, drop_events);
-
-##
-chan_types = Dict(:AMMO=>"misc",:HEALTH=>"misc",
-                    :PLAYERX=>"misc", :PLAYERY=>"misc",
-                    :WALLABOVE=>"misc",:WALLBELOW=>"misc",
-                    :CLOSESTENEMY=>"misc",:CLOSESTSTAR=>"misc")
-
-montage = "standard_1020"
-##
-interesting_channel_names, positions = populateRaw(
-    raw_data, chan_types, montage, bfDict, 
-    epochedFormulas, interesting_channels, 
-    evts_set, evts)
-
-#convert data to μV from Volt to undermine possible underflows in the later calculation
-#raw_data does only contain the interesting_channels specified, so unless one specified a stim channel, this simple line is enough
-raw_data .*= 10 ^ 6;
-
-if positions === nothing
-    global positions = positions_temp;
-end
-
-# ---
-#  Formulas and Functions 2
-# ---
-
-addDefaultEventFormulas!(bfDict,epochedFormulas,evts_set,tau); 
-
-```
-
-## Using Unfold to get ERPS
-```julia
-
-# regression-based analysis fits all ERPs at once
-uf = fit(UnfoldModel, bfDict, evts, raw_data, eventcolumn="event");
-res_r = coeftable(uf)
-res_r.channel = [interesting_channel_names[i] for i in res_r.channel];
-
-# epoch-based analysis
-res_e = epochedFit(UnfoldLinearModel,epochedFormulas,evts,raw_data,tau,sfreq);
-res_e.channel = [interesting_channel_names[i] for i in res_e.channel];
-
-# allow later grouping by subject, task or run
-insertcols!(res_r, ([:subject,:task,:run] .=> (s,t,r))...);
-insertcols!(res_e, ([:subject,:task,:run] .=> (s,t,r))...);
-
-# depending on changes in newer Julia versions, the globals here might no longer be necessary
-global results_r = vcat(results_r,res_r,cols=:union);
-global results_e = vcat(results_e,res_e,cols=:union);
-
-
-```
-
-##  Filtering and grouping the results
-```julia
-
-# if covariates were used (Intercept is not the only term), group by term as well, don't compare with epoched results etc.
-covariates_used = length(Set(results_r.term))>1;
-
-# different names to keep the different steps around for exploration
-# make a grouped DataFrame and ...
-if covariates_used
-    grouped_r = groupby(results_r,[:basisname,:colname_basis,:channel,:term]);
-else
-    grouped_r = groupby(results_r,[:basisname,:colname_basis,:channel]);
-end
-# take the mean over the estimates for each group, but keep the name the same instead of appending _mean to it
-combined_r = combine(grouped_r,:estimate => mean => :estimate);
-
-# repeat for epoch-based analysis results
-grouped_e = groupby(results_e,[:term,:colname_basis,:channel]);
-combined_e = combine(grouped_e,:estimate => mean => :estimate);
-
-# compare both methods
-if !covariates_used
-    prepped_r = copy(combined_r);
-    rename!(prepped_r,:basisname => :basisname_term);
-    prepped_r[!,"Analysis Type"] .= :regression_based;
-
-    prepped_e = copy(combined_e);
-    rename!(prepped_e,:term => :basisname_term);
-    prepped_e[!,"Analysis Type"] .= :epoch_based;
-
-    prepped = vcat(prepped_r,prepped_e);
-end
-```
-
-## Plotting the Results
-
-```julia
-# --> once the script is done, call fg_r, fg_e or fg in the Julia REPL to look at your results in a new window
-#  (or the old window incase you already looked at something and didn't close it!)
-
-if length(interesting_channels) <= auto_render_cutoff
-    # regression-based ERPs, plot using terms and add legend in case of covariates
-    if covariates_used
-        fg_r = drawERPs(combined_r, basic_mapping, mapping(col = :basisname, color = :term, row=:channel), addLegend = true);
-    else
-        fg_r = drawERPs(combined_r, basic_mapping, mapping(col = :basisname, color = :basisname, row=:channel));
-    end
-
-    # epoch-based ERPs
-    fg_e = drawERPs(combined_e, basic_mapping, mapping(col = :term, color = :term, row = :channel));
-
-    # comparison
-    if !covariates_used
-        fg = drawERPs(prepped, basic_mapping, mapping(col = :basisname_term, color = Symbol("Analysis Type"), row = :channel),
-            addLegend = true);
-    end
-end
-
-```
\ No newline at end of file
diff --git a/docs/src/api.md b/docs/src/api.md
new file mode 100644
index 0000000..8b13789
--- /dev/null
+++ b/docs/src/api.md
@@ -0,0 +1 @@
+
diff --git a/docs/src/index.md b/docs/src/index.md
index 607c5a0..34f2f09 100644
--- a/docs/src/index.md
+++ b/docs/src/index.md
@@ -4,11 +4,4 @@ CurrentModule = UnfoldBIDS
 
 # UnfoldBIDS
 
-Documentation for [UnfoldBIDS](https://github.com/reneskukies/UnfoldBIDS.jl).
-
-```@index
-```
-
-```@autodocs
-Modules = [UnfoldBIDS]
-```
+Documentation for [UnfoldBIDS](https://github.com/unfoldtoolbox/UnfoldBIDS.jl).