Scheduled service maintenance on November 22


On Friday, November 22, 2024, between 06:00 CET and 18:00 CET, GIN services will undergo planned maintenance. Extended service interruptions should be expected. We will try to keep downtimes to a minimum, but recommend that users avoid critical tasks, large data uploads, or DOI requests during this time.

We apologize for any inconvenience.

Repo to store all downstream data for PEDLR.

Christoph Koch 7a8cd440f9 Update 'README.md' пре 11 месеци
.datalad a3c52f4328 [DATALAD] new dataset пре 1 година
analysis 0097030f16 Pre-release derivatives пре 11 месеци
figures 1af2e7e440 Overhaul pcrt sig annotations пре 11 месеци
model_fitting acfdd24fce Modelling results and analysis/results_02 for new bandit init (first three updates kicked out of LL calculation) пре 1 година
parameter_recovery 0097030f16 Pre-release derivatives пре 11 месеци
posterior_pred_checks 0097030f16 Pre-release derivatives пре 11 месеци
simulation 2260c8e8f0 Remove deprecated files пре 11 месеци
.gitattributes ce0657b272 Make sure README.md and LICENSE are not annexed пре 1 година
.gitignore 68a51730cc Add figure pdfs and rename seplr to valence in figs пре 1 година
LICENSE 0f9bfa5964 Add license and readme пре 1 година
README.md 7a8cd440f9 Update 'README.md' пре 11 месеци
datacite.yml 6fdb6426cf Add information for publishing with DataCite пре 11 месеци

README.md

pedlr-derivatives

Repo to store all results originating from PEDLR experiment data.

Datalad

This is a datalad repository. For more information on how to use datalad please see https://www.datalad.org/

Usage

For integration with the Github code repository (DOI: 10.5281/zenodo.10211239) clone the pedlr-main-data (DOI: 10.12751/g-node.9gm3lt) as data and this repository as derivatives into the code repository.

Data set structure

├── LICENSE   # License file (CC BY-SA 4.0)
├── README.md # This file
├── analysis  # Dir containing .html files of analysis notebooks
│   ├── data_quality.html   # Data quality assessment
│   ├── demographic.html    # Demographics summary
│   ├── results_01.html     # Main results (behavior)
│   ├── results_02.html     # Main results (modeling)
│   └── (...)
├── figures                 # Dir holding figures .pdf and data
│   └── (...)
├── model_fitting           # Dir holding data for model fitting
│   ├── fit-09RI1ZH_sv-random.tsv   # Example file: fit of all models to choice data (random starting-values)
│   ├── (...)
│   ├── modeldata-09RI1ZH_sv-random.tsv   # Example file: Model choice proabability for each trial (random starting-values)
│   └── (...)
├── parameter_recovery      # Dir holding analysis and data of model and parameter recovery
│   ├── analysis_model_recov.html  # Results model recovery
│   ├── analysis_param_recov.html  # Results parameter recovery
│   ├── modelrecov_base-09RI1ZH_model-rw_randips-TRUE_randbetas-FALSE_randsvs-TRUE_principle-TRUE.tsv # Example file: Fit of all models on data simulated by specified model (random parameters, fixed regression betas, random starting-values)
│   ├── (...)
│   ├── paramrecov_base-09RI1ZH_model-rw_randips-TRUE_randbetas-FALSE_randsvs-TRUE_principle-TRUE.tsv # Example file: Parameter recovery of all models on data simulated by specified model (random parameters, fixed regression betas, random starting-values)
│   ├── (...)
│   ├── recovdata_base-09RI1ZH_model-rw_randips-TRUE_randbetas-FALSE_randsvs-TRUE_principle-TRUE.tsv # Example file: Trialwise information on recovery (random parameters, fixed regression betas, random starting-values)
│   └── (...)
├── posterior_pred_checks             # Dir holding analysis and data of posterior predictive checks
│   ├── analysis_posterior_pred_checks.html    # Analysis notbook of post. pred. checks
│   ├── postpred-09RI1ZH_model-rw.tsv          # Data for post. pred. check for specified model
│   ├── (...)
│   ├── windowrizepred-09RI1ZH.tsv   # Data for post. pred. check (influence of surprise) for spec. model
│   └── (...)
└── simulation
    └── (...)

datacite.yml
Title Pedlr Derivatives
Authors Koch,Christoph;Universität Hamburg, Hamburg, Germany;ORCID:0000-0002-4620-9577
Zika,Ondrej;Max Plank Institute for Human Development, Berlin, Germany;ORCID:0000-0003-0483-4443
Bruckner,Rasmus;Freie Universität Berlin, Berlin, Germany;ORCID:0000-0002-3033-6299
Schuck,Nicolas W.;Universität Hamburg, Hamburg, Germany;ORCID:0000-0002-0150-8776
Description This is the derivatives data set of of the Pedlr project. This contains a datalad repository of all data downstream from the source data (source data available at DOI: 10.12751/g-node.9gm3lt). The code repository used to create all downstream data (from the source data) is available at DOI: 10.5281/zenodo.10211239
License Creative Commons Attribution-ShareAlike 4.0 International Public License (https://creativecommons.org/licenses/by-sa/4.0/deed.en)
References
Funding MPG, M.TN.A.BILD0004
Keywords Reinforcement Learning
Computational Modeling
Aging
Surprise
Resource Type Dataset