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Published October 30, 2023 | Version v2
Dataset Open

Historical Adoption of Technologies (HATCH) Dataset

  • 1. University of Wisconsin-Madison
  • 2. ROR icon University of Wisconsin–Madison

Description

About the Dataset 

The Historical Adoption of TeCHnologies (HATCH) dataset provides yearly data of technology adoption levels at both the global and country levels. The dataset includes a heterogeneous set of technologies that differ in their size, use, and spatial diffusion. The following files are available.

Citation

The paper can be cited as: Nemet, G., Greene, J., Müller-Hansen, F. et al. Dataset on the adoption of historical technologies informs the scale-up of emerging carbon dioxide removal measures. Commun Earth Environ 4, 397 (2023). https://doi.org/10.1038/s43247-023-01056-1 

Paper describing the data is available here: https://www.nature.com/articles/s43247-023-01056-1

 

File Descriptions

HATCH1.0.csv

Description: Dataset used in the analysis for "Dataset on the adoption of historical technologies informs the scale-up of emerging carbon dioxide removal measures," which includes a limited number of country-level datapoints.

 

HATCH_v1.5_Clean.csv

 

Description: Expanded dataset that includes country-level adoption of many technologies used in v1.0, with the addition of more global technology time series.

 

Tech_Growth_V1.5_variabledescriptions_Clean.yaml

Description: Description of each technology, including description, metric, and technology category.

 

HATCH_v1.5_DataSources.csv

Description: Lists the data sources and corresponding citations for each technology in the HATCH dataset.

 

Code for calculating growth rates available at: DOI: 10.5281/zenodo.8327347

 

Table of growth rate calculations for each technology available at: https://zenodo.org/records/10056128

 

Link to Scenario Explorer hosted by IIASA: https://cdr.apps.ece.iiasa.ac.at/story/hatch/

 

Files

HATCH_1.0_Clean.csv

Files (4.9 MB)

Name Size Download all
md5:e6edef4715f99bf34b6039b7d28ae146
103.1 kB Preview Download
md5:e9091f8e581a43d3cf7247a5c925a598
4.7 MB Preview Download
md5:bbdad116a9db447c9690be984ea67d45
78.3 kB Preview Download
md5:1e74f6875edcd97e124ad17b079f74f0
37.1 kB Download

Additional details

Funding

European Research Council
“GeoEngineering and NegatIve Emissions pathways in Europe” (GENIE) 951542-GENIE-ERC-2020-SyG