Spatio-temporal distribution of global stromatolites through geological time identified by a large language model approach
IntroductionA substantial amount of data embedded within diverse literature makes it time-consuming to manually extract and compile extensive datasets. The use of large language models has become essential for the efficient extraction and analysis of big data. This study utilizes ChatGPT-4 to recons...
Saved in:
| Main Authors: | Hao Li, Min Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-03-01
|
| Series: | Frontiers in Earth Science |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1563011/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Microstructure of ferromanganese stromatolites and oncolites of the ocean bottom
by: V. V. Avdonin, et al.
Published: (2016-04-01) -
Death and taphonomy of Holocene stromatolites from Lagoa Vermelha, Brazil
by: Keim, Carolina Neumann, et al.
Published: (2023-08-01) -
Ooid-stromatolite association - a stress for benthic ecosystems
by: A. I. Antoshkina
Published: (2015-06-01) -
Bovine anaplasmosis in Zimbabwe: spatio-temporal distribution and environmental drivers
by: Natasher Madyavanhu, et al.
Published: (2024-12-01) -
Spatio-Temporal Distribution Characteristics of Buddhist Temples and Pagodas in the Liaoning Region, China
by: Jiaji Gao, et al.
Published: (2024-09-01)