Use Whole Tale to create and publish your own transparent and reproducible research.
Explore existing reproducible research created using Whole Tale.
Learn more about Whole Tale, an open source platform for reproducible research.
A beta version of the system is available at https://dashboard.wholetale.org.The Whole Tale platform has been designed based on community input primarily through working groups and collaborations with researchers.
The Whole Tale project is involved in several initiatives to train researchers for reproducibility as well as use of Whole Tale in the classroom.
LIGO Detected Gravitational Waves from Black Holes On September 14, 2015 at 5:51 a.m. Eastern Daylight Time (09:51 UTC), the twin Laser Interferometer Gravitational-wave Observatory (LIGO) detectors, located in Livingston, Louisiana, and Hanford, Washington, USA both measured ripples in the fabric of spacetime - gravitational waves - arriving at the Earth from a cataclysmic event in the distant universe.
Reproducing "Informatics-aided bandgap engineering for solar materials" This notebook shows how to replicate the main findings of a 2014 paper by Dey et al that used machine learning to predict the band gap energies of solar cell materials
properties of materials. The main focus of this paper was the construction of general purpose method to link the composition of a material (i.e., the fractions of each element) to its properties, which they found can be used for as applications such as identifying candidate solar cell materials. The notebooks within this tale recreate the validation tests from the paper and how the models were used to discover new materials.
MaxEnt modeling for species distribution. In 2006, Phillps, Anderson and Shapire revisited estimation methods for probability density functions in order to improve predictions for species presence in a given location. This Tale replicates the logic and general results of the paper using the same datasets in a Jupyter Notebook. In addition to this Tale, one that uses the scikit-learn Python package for data analysis, a second Tale is under development using intros-MaxEnt, a packaged aimed at ecologists with better control structures.
This Tale explores Ephedra california as a foundation species within the San Joaquin Desert, California. These data specific to Panoche Hills Ecological Reserve. Meta-data provided with published data, and most measures are self-evident and standard protocols for research team. However, canopy decadence is not the typical Likert net 1-10 scale. It can vary from 1-10, but this score is estimated by breaking each canopy, visually into 5 segments, the four cardinal directions and top, and scoring each as 0 for dead, 1 partial, and 2 for all alive.
We demonstrate using a ASP encoding for recording provenance of operations in computation of a simple ASP.
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