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bupst20_rgb.tar.gz.af
Oct 6, 2025 - BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data
Unknown - 4.0 GB - MD5: 252b920bac08bc0930a21a770569a738
bupst20_rgb.tar.gz.ag
Oct 6, 2025 - BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data
image/x-applix-graphics - 3.5 GB - MD5: abd54e3866adab851cb575d1d3a58d36
cam_params.yaml
Oct 6, 2025 - BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data
application/x-yaml - 280 B - MD5: ed212b2055b08b635f263320a42dec15
dataset_structure.md
Oct 6, 2025 - BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data
Markdown Text - 2.9 KB - MD5: aa1af827322e4ae5dc3f0dc668af7562
how_to_use_BUPST20.md
Oct 6, 2025 - BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data
Markdown Text - 5.1 KB - MD5: 30831e1ba9bab6fbaa91fd347ce5d855
ReadMe.txt
Oct 6, 2025 - BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data
Plain Text - 5.5 KB - MD5: 7a8f902778b1bcdd83f344c7dc83d0ba
train_valid_eval_splits.yaml
Oct 6, 2025 - BUP-ST20: Weakly Labelled Spatial Temporal Sweet Pepper Data
application/x-yaml - 1.6 KB - MD5: dcf653a6d147f9c6eb577b7f65ce000a
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting [data set]
RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting [data set]
Oct 1, 2025
Shams Eddin, Mohamad Hakam; Zhang, Yikui; Kollet, Stefan; Gall, Juergen, 2025, "RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting [data set]", https://doi.org/10.60507/FK2/T8QYWE, bonndata, V1
This is the dataset used in the RiverMamba paper (see https://arxiv.org/abs/2505.22535). The aim of the RiverMamba project is to develop a deep learning model that is pretrained with long-term reanalysis data and fine-tuned on observations to forecast global river discharge and floods up to 7 days lead time on a 0.05° grid. The dataset includes the...
README.txt
Oct 1, 2025 - RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting [data set]
Plain Text - 18.6 KB - MD5: dc0838e648ae7b059a25152e9e5d1a1a
CPC_Global.7z
Oct 1, 2025 - RiverMamba: A State Space Model for Global River Discharge and Flood Forecasting [data set]
7Z Archive - 14.6 GB - MD5: fe61beed8f5f897435ba08ab5ff04633
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