Datasets:
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
remote-sensing
carbon-flux
time-series
earth-system-science
knowledge-guided-machine-learning
process-based-modeling
File size: 1,273 Bytes
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message: "If you use this dataset, please cite the associated paper."
title: "DERE Dataset"
type: dataset
authors:
- family-names: "Xu"
given-names: "Shuo"
repository-code: "https://github.com/ai-spatial/DERE"
url: "https://huggingface.co/datasets/ai-spatial/DERE"
version: "1.0.0"
preferred-citation:
type: conference-paper
title: "Knowledge-Guided Learning for Global Carbon Flux Prediction: Integrating High-Level Remote Sensing with Bottom-Up Physical Modeling"
authors:
- family-names: "Xu"
given-names: "Shuo"
- family-names: "Wang"
given-names: "Zhihao"
- family-names: "Li"
given-names: "Ruohan"
- family-names: "Wang"
given-names: "Ruichen"
- family-names: "Ma"
given-names: "Lei"
- family-names: "Hurtt"
given-names: "George C."
- family-names: "Jia"
given-names: "Xiaowei"
- family-names: "Xie"
given-names: "Yiqun"
collection-title: "Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"
year: 2026
publisher:
name: "ACM"
conference:
name: "32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining"
location:
name: "Jeju Island, Republic of Korea"
doi: "10.1145/3770855.3818927"
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