# Dataset on the analytical co—hydropyrolysis of chilean oak and polyethylene under catalytic and non—catalytic conditions

## TL;DR

This paper provides an open dataset on co-hydropyrolysis of Chilean Oak and polyethylene under catalytic and non-catalytic conditions to help improve the conversion of biomass and plastic into useful hydrocarbons.

## Contribution

The novelty is a standardized, open dataset capturing detailed experimental conditions and results for co-hydropyrolysis with and without catalysts.

## Key findings

- The dataset includes raw spectra, peak tables, and catalyst descriptors for co-hydropyrolysis experiments.
- Catalytic effects are quantified using GC–MS relative peak areas under identical operating conditions.
- The dataset supports mapping operational windows and assessing commercial viability of co-hydropyrolysis.

## Abstract

Co-hydropyrolysis—fast pyrolysis under a hydrogen atmosphere—offers a thermochemical route for converting plastic residues, co-processed with lignocellulosic biomass feedstocks, into platform hydrocarbons. Hydrogen-rich polymers act as in-situ hydrogen donors, while biomass-derived intermediates engage in pathways that, in the presence of bifunctional catalysts (acid sites coupled with a hydrogenating metal), promote deoxygenation, suppress polycondensation, and steer formation of BTX. A central gap is the absence of open datasets that systematically map operating conditions across matched non-catalytic (blank) and catalytic regimes within a consistent experimental framework, including raw spectra, machine-readable peak tables, and complete catalyst descriptors. Addressing this need, an open, standardized dataset is reported from a systematic study of co-hydropyrolysis of Chilean Oak with high- and low-density polyethylene in an analytical micropyrolyzer coupled to GC–MS (Py-GC–MS). Catalytic effects are quantified against catalyst-free baseline runs conducted under identical temperature, heating rate, vapour-residence time, hydrogen pressure, and feed ratio, using GC–MS relative peak areas by compound and family. Together with raw MS files, curated peak tables, operating metadata, and full catalyst descriptors (TGA, XRD, TEM, N2 physisorption, NH3-TPD; SEM–EDX available in the repository), the dataset provides an analytical basis for delineating operational windows for co-hydropyrolysis and informing process development, scale-up, and assessments of commercial viability.