Raw Data Library
About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User Guide
Green Science
​
​
EN
Kurumsal BaşvuruSign inGet started
​
​

About
Aims and ScopeAdvisory Board Members
More
Who We Are?
User GuideGreen Science

Language

Kurumsal Başvuru

Sign inGet started
RDL logo

Verified research datasets. Instant access. Built for collaboration.

Navigation

About

Aims and Scope

Advisory Board Members

More

Who We Are?

Contact

Add Raw Data

User Guide

Legal

Privacy Policy

Terms of Service

Support

Got an issue? Email us directly.

Email: info@rawdatalibrary.netOpen Mail App
​
​

© 2026 Raw Data Library. All rights reserved.
PrivacyTermsContact
  1. Raw Data Library
  2. /
  3. Publications
  4. /
  5. Scientific literature on carbon dioxide removal much larger than previously suggested: insights from an AI-enhanced systematic map

Verified authors • Institutional access • DOI aware
50,000+ researchers120,000+ datasets90% satisfaction
Preprint
en
2024

Scientific literature on carbon dioxide removal much larger than previously suggested: insights from an AI-enhanced systematic map

0 Datasets

0 Files

en
2024
DOI: 10.21203/rs.3.rs-4109712/v1

Get instant academic access to this publication’s datasets.

Create free accountHow it works

Frequently asked questions

Is access really free for academics and students?

Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.

How is my data protected?

Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.

Can I request additional materials?

Yes, message the author after sign-up to request supplementary files or replication code.

Advance your research today

Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.

Get free academic accessLearn more
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaboration
Access Research Data

Join our academic network to download verified datasets and collaborate with researchers worldwide.

Get Free Access
Institutional SSO
Secure
This PDF is not available in different languages.
No localized PDFs are currently available.
Pete Smith
Pete Smith

University of Aberdeen

Verified
Sarah Lück
Max Callaghan
Malgorzata Borchers
+22 more

Abstract

Abstract Carbon dioxide removal (CDR) is a critical component of any strategy to limit global warming to well below 2°C and rapidly gaining attention in climate research and policymaking. Despite its importance, there have been few attempts to systematically evaluate the scientific evidence on CDR. Here we use an approach rooted in artificial intelligence to produce a comprehensive systematic map of the CDR literature. In particular, we hand-label 5,339 documents to train machine learning classifiers with high levels of precision and recall to identify a total of 28,976 CDR studies across different technology domains and disciplines published in the period 1990-2022 which is at least 2-3 times more than previous studies suggested. We paint a granular picture of available CDR research in terms of the CDR methods studied, the geographical focus of research, the research method applied, and the broad area of research. The field has grown considerably faster than the climate change literature as a whole. This is driven mainly by the rapid expansion of literature on biochar, which made up about 62% of CDR publications in 2022. Beyond this stark concentration of CDR research on a few individual CDR methods, we find that most studies (86%) focus on improving the CDR methods themselves, but there is little research on their societal implications and ethical foundations. Citations patterns from the most recent IPCC report strongly differ from publication patterns on CDR in terms of its attention to CDR methods, research design and methodological context, as does attention to CDR methods in policy and practice in terms of real-world deployments, patenting activity, as well as public investments. As the importance of CDR grows for meeting the Paris climate goals, we believe that the accompanying literature database will be of additional value for the upcoming IPCC assessment, but also for science, policy and practice.

How to cite this publication

Sarah Lück, Max Callaghan, Malgorzata Borchers, Annette Cowie, Sabine Fuss, Oliver Geden, Matthew Gidden, Jens Hartmann, Claudia Kammann, David P. Keller, Florian Kraxner, William F. Lamb, Niall Mac Dowell, Finn Müller-Hansen, Gregory F. Nemet, Benedict Probst, Phil Renforth, Tim Repke, Wilfried Rickels, Ingrid Schulte, Pete Smith, Stephen M. Smith, Daniela Thrän, Mijndert van der Spek, Jan C. Minx (2024). Scientific literature on carbon dioxide removal much larger than previously suggested: insights from an AI-enhanced systematic map. , DOI: https://doi.org/10.21203/rs.3.rs-4109712/v1.

Related publications

Why join Raw Data Library?

Quality

Datasets shared by verified academics with rich metadata and previews.

Control

Authors choose access levels; downloads are logged for transparency.

Free for Academia

Students and faculty get instant access after verification.

Publication Details

Type

Preprint

Year

2024

Authors

25

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.21203/rs.3.rs-4109712/v1

Join Research Community

Access datasets from 50,000+ researchers worldwide with institutional verification.

Get Free Access