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
Upload 45 files
Browse files- .gitattributes +13 -0
- CITATION.cff +41 -0
- GlobalMask/README.md +30 -0
- GlobalMask/test/GlobalMask_test.npz +3 -0
- GlobalMask/train/GlobalMask_train.npz +3 -0
- InSituMatched/README.md +40 -0
- InSituMatched/above/test/InSituMatched_above_test.npz +3 -0
- InSituMatched/above/train/InSituMatched_above_train.npz +3 -0
- InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz +3 -0
- InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz +3 -0
- InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz +3 -0
- InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz +3 -0
- InSituMatched/icos_ww/test/InSituMatched_icos-ww_test.npz +3 -0
- InSituMatched/icos_ww/train/InSituMatched_icos-ww_train.npz +3 -0
- InSituMatched/multiple/test/InSituMatched_multiple_test.npz +3 -0
- InSituMatched/multiple/train/InSituMatched_multiple_train.npz +3 -0
- README.md +170 -111
- gitattributes +7 -0
- gitignore +10 -0
- metadata/age_classes.csv +19 -0
- metadata/dataset_schema.json +342 -0
- metadata/dimension_definitions.md +407 -0
- metadata/dimension_definitions.md.bak +380 -0
- metadata/feature_names.csv +22 -0
- metadata/insitu_site_metadata.csv +317 -0
- metadata/normalization_statistics.npz +0 -0
- metadata/pft_names.csv +4 -0
- metadata/repository_manifest.csv +44 -0
- metadata/repository_manifest.xlsx +0 -0
- metadata/source_licenses.csv +7 -0
- metadata/target_names.csv +11 -0
- metadata/train_test_mask.md +65 -0
- metadata/train_test_mask.npy +3 -0
- viewer/README.md +13 -0
- viewer/global_mask/test.csv +853 -0
- viewer/global_mask/train.csv +0 -0
- viewer/insitu_matched/above/test.csv +13 -0
- viewer/insitu_matched/above/train.csv +49 -0
- viewer/insitu_matched/ameriflux/test.csv +19 -0
- viewer/insitu_matched/ameriflux/train.csv +68 -0
- viewer/insitu_matched/fluxnet/test.csv +17 -0
- viewer/insitu_matched/fluxnet/train.csv +69 -0
- viewer/insitu_matched/icos_ww/test.csv +5 -0
- viewer/insitu_matched/icos_ww/train.csv +10 -0
- viewer/insitu_matched/mix/test.csv +17 -0
- viewer/insitu_matched/mix/train.csv +59 -0
.gitattributes
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GlobalMask/test/GlobalMask_test.npz filter=lfs diff=lfs merge=lfs -text
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GlobalMask/train/GlobalMask_train.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/above/test/InSituMatched_above_test.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/above/train/InSituMatched_above_train.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/icos_ww/test/InSituMatched_icos-ww_test.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/icos_ww/train/InSituMatched_icos-ww_train.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/multiple/test/InSituMatched_multiple_test.npz filter=lfs diff=lfs merge=lfs -text
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InSituMatched/multiple/train/InSituMatched_multiple_train.npz filter=lfs diff=lfs merge=lfs -text
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metadata/train_test_mask.npy filter=lfs diff=lfs merge=lfs -text
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CITATION.cff
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cff-version: 1.2.0
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message: "If you use this dataset, please cite the associated paper."
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title: "DERE Dataset"
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type: dataset
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authors:
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- family-names: "Xu"
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given-names: "Shuo"
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repository-code: "https://github.com/ai-spatial/DERE"
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url: "https://huggingface.co/datasets/ai-spatial/DERE"
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version: "1.0.0"
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preferred-citation:
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type: conference-paper
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title: "Knowledge-Guided Learning for Global Carbon Flux Prediction: Integrating High-Level Remote Sensing with Bottom-Up Physical Modeling"
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authors:
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- family-names: "Xu"
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given-names: "Shuo"
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- family-names: "Wang"
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given-names: "Zhihao"
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- family-names: "Li"
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given-names: "Ruohan"
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- family-names: "Wang"
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given-names: "Ruichen"
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- family-names: "Ma"
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given-names: "Lei"
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- family-names: "Hurtt"
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given-names: "George C."
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- family-names: "Jia"
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given-names: "Xiaowei"
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- family-names: "Xie"
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given-names: "Yiqun"
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collection-title: "Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2"
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year: 2026
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publisher:
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name: "ACM"
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conference:
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name: "32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining"
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location:
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name: "Jeju Island, Republic of Korea"
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doi: "10.1145/3770855.3818927"
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GlobalMask/README.md
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# GlobalMask
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The released GlobalMask dataset is divided by data split. Each file contains
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the same arrays and dimensions, but the number of global grid-cell samples
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differs.
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| Released subset | Samples |
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|---|---:|
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| Training split | 3373 |
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| Testing split | 852 |
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## Files
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- `globalmask_training_dataset.npz`
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- `globalmask_testing_dataset.npz`
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## Variables
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- `ed_simulation_x` — monthly ED input features
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- `ed_simulation_y` — age-specific ED simulation targets
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- `ed_simulation_pft_bl` — annual age-specific ED broadleaf PFT fractions
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- `ed_simulation_pft_nl` — annual age-specific ED needleleaf PFT fractions
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- `ed_simulation_pft_gs` — annual age-specific ED grass-and-shrub PFT fractions
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- `lidar_age_weight_fraction` — LiDAR-derived forest-age fractions
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- `esa_cci_bl_fraction` — annual ESA CCI broadleaf PFT fractions
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- `esa_cci_nl_fraction` — annual ESA CCI needleleaf PFT fractions
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- `esa_cci_gs_fraction` — annual ESA CCI grass-and-shrub PFT fractions
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All released arrays use sample-first orientation. Detailed dimension
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definitions and array shapes are provided in `metadata/dimension_definitions.md`.
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GlobalMask/test/GlobalMask_test.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:58cecb1ee80b0ce1dabfa9283b9a5ebe5f4ec5ad3371a9d630fd4ddcf943ba42
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size 293610478
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GlobalMask/train/GlobalMask_train.npz
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version https://git-lfs.github.com/spec/v1
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oid sha256:26813197f7236fe362f0d5c47b959495f69ac26bd760f7e2f434346069a19ca5
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size 1159997071
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InSituMatched/README.md
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# InSituMatched
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The released InSituMatched dataset is divided by in-situ network and data
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split. Each file contains the same arrays and dimensions, but the number of
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matched samples differs.
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| Released subset | Training samples | Testing samples |
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|---|---:|---:|
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| ABoVE | 48 | 12 |
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| AmeriFlux | 67 | 18 |
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| FLUXNET | 68 | 16 |
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| ICOS-WW | 9 | 4 |
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| Multiple-network sites | 58 | 16 |
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## Files
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- `InSituMatched_above_train.npz`
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- `InSituMatched_above_test.npz`
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- `InSituMatched_ameriflux_train.npz`
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- `InSituMatched_ameriflux_test.npz`
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- `InSituMatched_fluxnet_train.npz`
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- `InSituMatched_fluxnet_test.npz`
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- `InSituMatched_icos-ww_train.npz`
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- `InSituMatched_icos-ww_test.npz`
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- `InSituMatched_multiple_train.npz`
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- `InSituMatched_multiple_test.npz`
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## Variables
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- `ed_simulation_x` — monthly ED input features at matched in-situ locations
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- `ed_simulation_y` — age-specific ED simulation targets
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- `observed_y` — in-situ GPP, RECO, and NEE observations
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- `lidar_age_weight_fraction` — LiDAR-derived forest-age fractions
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- `esa_cci_bl_fraction` — annual ESA CCI broadleaf PFT fractions
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| 35 |
+
- `esa_cci_nl_fraction` — annual ESA CCI needleleaf PFT fractions
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| 36 |
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- `esa_cci_gs_fraction` — annual ESA CCI grass-and-shrub PFT fractions
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| 37 |
+
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All released arrays use sample-first orientation. Detailed dimension
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| 39 |
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definitions and array shapes are provided in
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`metadata/dimension_definitions.md`.
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InSituMatched/above/test/InSituMatched_above_test.npz
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InSituMatched/above/train/InSituMatched_above_train.npz
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InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
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InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
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InSituMatched/icos_ww/test/InSituMatched_icos-ww_test.npz
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README.md
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---
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language:
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- en
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pretty_name: DERE Dataset
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tags:
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- remote-sensing
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- carbon-flux
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- time-series
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- earth-system-science
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- knowledge-guided-machine-learning
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- process-based-modeling
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- gpp
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- reco
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- nee
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---
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**Code:** https://github.com/ai-spatial/DERE
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| 30 |
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| 31 |
-
##
|
| 32 |
|
| 33 |
-
|
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| 34 |
|
| 35 |
-
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| 36 |
|
| 37 |
-
|
| 38 |
-
* `stat`: normalization statistics
|
| 39 |
-
* `pft`: PFT labels, in-situ labels, age-weight information, or imputed labels
|
| 40 |
|
| 41 |
-
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| 42 |
|
| 43 |
-
|
| 44 |
-
DERE-main/Step01_DERE_Train_3PureModels_CompetitionModel.py
|
| 45 |
-
data: res_train4_test8_extract_4types_28years_update_with_NEE_Ra_RECO.npz
|
| 46 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 47 |
-
pft: pft_dataset_12mean_4types_28years_update.npz
|
| 48 |
-
|
| 49 |
-
DERE-main/Step02_DERE_Finetune_CompetitionModel.py
|
| 50 |
-
data: res_train4_test8_extract_28years_ageindependent_update_with_NEE_Ra_RECO.npz
|
| 51 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 52 |
-
pft: pft_dataset_12mean_28years_ageindependent_plus_ageweight_update.npz
|
| 53 |
-
|
| 54 |
-
DERE-main/Step03_DERE_Train_PFTModel.py
|
| 55 |
-
data: 1_res_train4_test8_allx_plus_ageweight_esapft_update.npz
|
| 56 |
-
stat: data_stats.npz
|
| 57 |
-
pft: 1_ED_PFT_train4_test8_1992_to_2020_update.npz
|
| 58 |
-
|
| 59 |
-
DERE-main/Step04_DERE_Finetune_with_InSitu.py
|
| 60 |
-
data: res_train4_test8_extract_4types_28years_{net}.npz
|
| 61 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 62 |
-
pft: pft_dataset_12mean_4types_28years_ESACCI_plusAW_{net}.npz
|
| 63 |
-
|
| 64 |
-
DERE-main/Step05_DERE_InSitu_imputation_CSDI-main/05_DERE_InSitu_imputation.py
|
| 65 |
-
data: res_train4_test8_extract_4types_28years_networks_with_NEE_Ra_RECO.npz
|
| 66 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 67 |
-
pft: pft_dataset_12mean_4types_28years_ESACCI_plusAW_networks.npz
|
| 68 |
-
|
| 69 |
-
DERE-main/Step06_DERE_Finetune_with_InSitu_imputation.py
|
| 70 |
-
data: res_train4_test8_extract_4types_28years_{net}.npz
|
| 71 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 72 |
-
pft: pft_dataset_12mean_4types_28years_ESACCI_plusAW_{net}_imputation.npz
|
| 73 |
-
|
| 74 |
-
For all Baseline scripts
|
| 75 |
-
data: res_train4_test8_extract_4types_28years_{net}.npz
|
| 76 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 77 |
-
pft: pft_dataset_12mean_4types_28years_ESACCI_plusAW_{net}.npz
|
| 78 |
-
|
| 79 |
-
For all KGML scripts
|
| 80 |
-
Pretraining:
|
| 81 |
-
data: res_train4_test8_extract_28years_ageindependent_update_with_NEE_Ra_RECO.npz
|
| 82 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 83 |
-
pft: pft_dataset_12mean_28years_ageindependent_plus_ageweight_update.npz
|
| 84 |
-
Finetuning:
|
| 85 |
-
data: res_train4_test8_extract_4types_28years_{net}.npz
|
| 86 |
-
stat: data_stats_with_NEE_Ra_RECO.npz
|
| 87 |
-
pft: pft_dataset_12mean_4types_28years_ESACCI_plusAW_{net}.npz
|
| 88 |
-
```
|
| 89 |
|
| 90 |
-
|
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|
| 91 |
|
| 92 |
-
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| 93 |
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| 94 |
-
|
| 95 |
-
|
| 96 |
-
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
-
``
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|
| 101 |
|
| 102 |
-
##
|
| 103 |
|
| 104 |
-
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|
| 105 |
|
| 106 |
```python
|
| 107 |
import numpy as np
|
| 108 |
|
| 109 |
-
|
| 110 |
-
print(data.files)
|
| 111 |
-
```
|
| 112 |
|
| 113 |
-
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|
| 114 |
|
| 115 |
-
|
| 116 |
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| 117 |
-
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| 118 |
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| 119 |
-
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| 120 |
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| 121 |
-
|
| 122 |
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| 123 |
-
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|
| 124 |
|
| 125 |
-
|
| 126 |
|
| 127 |
-
|
| 128 |
-
https://github.com/ai-spatial/DERE
|
| 129 |
-
```
|
| 130 |
|
| 131 |
-
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|
| 132 |
|
| 133 |
-
##
|
| 134 |
|
| 135 |
If you use this dataset, please cite:
|
| 136 |
|
|
@@ -146,20 +215,10 @@ If you use this dataset, please cite:
|
|
| 146 |
}
|
| 147 |
```
|
| 148 |
|
| 149 |
-
|
| 150 |
-
|
| 151 |
-
This dataset is intended for research on:
|
| 152 |
-
|
| 153 |
-
- Global carbon flux prediction
|
| 154 |
-
- Knowledge-guided machine learning
|
| 155 |
-
- Integration of process-based simulations, remote sensing observations, and in-situ measurements
|
| 156 |
-
- Time-series modeling of GPP, RECO, and NEE
|
| 157 |
-
- Reproduction and comparison of the DERE framework and baseline models
|
| 158 |
-
|
| 159 |
-
|
| 160 |
-
## 📬 Contact
|
| 161 |
|
| 162 |
-
|
| 163 |
|
| 164 |
-
|
| 165 |
-
|
|
|
|
|
|
| 1 |
---
|
| 2 |
language:
|
| 3 |
+
- en
|
| 4 |
pretty_name: DERE Dataset
|
| 5 |
tags:
|
| 6 |
+
- remote-sensing
|
| 7 |
+
- carbon-flux
|
| 8 |
+
- time-series
|
| 9 |
+
- earth-system-science
|
| 10 |
+
- knowledge-guided-machine-learning
|
| 11 |
+
- process-based-modeling
|
| 12 |
+
- gpp
|
| 13 |
+
- reco
|
| 14 |
+
- nee
|
| 15 |
---
|
| 16 |
|
| 17 |
+
# DERE Dataset
|
| 18 |
|
| 19 |
+
DERE is a processed multi-source ecosystem dataset for global carbon-flux
|
| 20 |
+
prediction. It integrates Ecosystem Demography (ED) simulations, remote-sensing
|
| 21 |
+
products, LiDAR-derived forest-age information, and in-situ flux observations.
|
| 22 |
|
| 23 |
+
The dataset supports the paper:
|
| 24 |
|
| 25 |
+
**Knowledge-Guided Learning for Global Carbon Flux Prediction: Integrating
|
| 26 |
+
High-Level Remote Sensing with Bottom-Up Physical Modeling**
|
| 27 |
|
| 28 |
+
Code repository: `https://github.com/ai-spatial/DERE`
|
|
|
|
| 29 |
|
| 30 |
+
## Dataset organization
|
| 31 |
|
| 32 |
+
```text
|
| 33 |
+
DERE/
|
| 34 |
+
├── README.md
|
| 35 |
+
├── CITATION.cff
|
| 36 |
+
├── GlobalMask/
|
| 37 |
+
│ ├── README.md
|
| 38 |
+
│ ├── train/
|
| 39 |
+
│ │ └── globalmask_training_dataset.npz
|
| 40 |
+
│ └── test/
|
| 41 |
+
│ └── globalmask_testing_dataset.npz
|
| 42 |
+
├── InSituMatched/
|
| 43 |
+
│ ├── README.md
|
| 44 |
+
│ ├── above/
|
| 45 |
+
│ │ ├── train/
|
| 46 |
+
│ │ │ └── InSituMatched_above_train.npz
|
| 47 |
+
│ │ └── test/
|
| 48 |
+
│ │ └── InSituMatched_above_test.npz
|
| 49 |
+
│ ├── ameriflux/
|
| 50 |
+
│ │ ├── train/
|
| 51 |
+
│ │ │ └── InSituMatched_ameriflux_train.npz
|
| 52 |
+
│ │ └── test/
|
| 53 |
+
│ │ └── InSituMatched_ameriflux_test.npz
|
| 54 |
+
│ ├── fluxnet/
|
| 55 |
+
│ │ ├── train/
|
| 56 |
+
│ │ │ └── InSituMatched_fluxnet_train.npz
|
| 57 |
+
│ │ └── test/
|
| 58 |
+
│ │ └── InSituMatched_fluxnet_test.npz
|
| 59 |
+
│ ├── icos-ww/
|
| 60 |
+
│ │ ├── train/
|
| 61 |
+
│ │ │ └── InSituMatched_icos-ww_train.npz
|
| 62 |
+
│ │ └── test/
|
| 63 |
+
│ │ └── InSituMatched_icos-ww_test.npz
|
| 64 |
+
│ └── mix/
|
| 65 |
+
│ ├── train/
|
| 66 |
+
│ │ └── InSituMatched_mix_train.npz
|
| 67 |
+
│ └── test/
|
| 68 |
+
│ └── InSituMatched_mix_test.npz
|
| 69 |
+
└── metadata/
|
| 70 |
+
├── README.md
|
| 71 |
+
├── dimension_definitions.md
|
| 72 |
+
├── dataset_schema.json
|
| 73 |
+
├── normalization_statistics.npz
|
| 74 |
+
├── feature_names.csv
|
| 75 |
+
├── target_names.csv
|
| 76 |
+
├── pft_names.csv
|
| 77 |
+
├── age_classes.csv
|
| 78 |
+
└── train_test_mask.npy
|
| 79 |
+
```
|
| 80 |
|
| 81 |
+
## GlobalMask
|
| 82 |
|
| 83 |
+
`GlobalMask` contains globally sampled land-grid cells selected by a fixed
|
| 84 |
+
train/test mask.
|
| 85 |
|
| 86 |
+
| Split | Samples | File |
|
| 87 |
+
|---|---:|---|
|
| 88 |
+
| Training | 3373 | `GlobalMask/train/globalmask_training_dataset.npz` |
|
| 89 |
+
| Testing | 852 | `GlobalMask/test/globalmask_testing_dataset.npz` |
|
| 90 |
|
| 91 |
+
Each file contains:
|
|
|
|
|
|
|
| 92 |
|
| 93 |
+
- `ed_simulation_x`
|
| 94 |
+
- `ed_simulation_y`
|
| 95 |
+
- `ed_simulation_pft_bl`
|
| 96 |
+
- `ed_simulation_pft_nl`
|
| 97 |
+
- `ed_simulation_pft_gs`
|
| 98 |
+
- `lidar_age_weight_fraction`
|
| 99 |
+
- `esa_cci_bl_fraction`
|
| 100 |
+
- `esa_cci_nl_fraction`
|
| 101 |
+
- `esa_cci_gs_fraction`
|
| 102 |
|
| 103 |
+
## InSituMatched
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 104 |
|
| 105 |
+
`InSituMatched` contains ED simulation data and auxiliary variables aligned with
|
| 106 |
+
in-situ carbon-flux observations.
|
| 107 |
|
| 108 |
+
| Subset | Training samples | Testing samples |
|
| 109 |
+
|---|---:|---:|
|
| 110 |
+
| ABoVE | 48 | 12 |
|
| 111 |
+
| AmeriFlux | 67 | 18 |
|
| 112 |
+
| FLUXNET | 68 | 16 |
|
| 113 |
+
| ICOS-WW | 9 | 4 |
|
| 114 |
+
| Multiple-network sites | 58 | 16 |
|
| 115 |
|
| 116 |
+
Each file contains:
|
| 117 |
+
|
| 118 |
+
- `ed_simulation_x`
|
| 119 |
+
- `ed_simulation_y`
|
| 120 |
+
- `observed_y`
|
| 121 |
+
- `lidar_age_weight_fraction`
|
| 122 |
+
- `esa_cci_bl_fraction`
|
| 123 |
+
- `esa_cci_nl_fraction`
|
| 124 |
+
- `esa_cci_gs_fraction`
|
| 125 |
+
|
| 126 |
+
The `mix` subset contains sites occurring in more than one network.
|
| 127 |
+
|
| 128 |
+
## Temporal alignment
|
| 129 |
+
|
| 130 |
+
The complete ED target sequence covers 29 calendar years from 1992 through
|
| 131 |
+
2020.
|
| 132 |
+
|
| 133 |
+
- December 1992 is used as the initial ED state.
|
| 134 |
+
- Model inputs cover January 1993 through December 2020.
|
| 135 |
+
- Prediction targets cover January 1993 through December 2020.
|
| 136 |
+
- The prediction period contains 28 years, or 336 monthly time steps.
|
| 137 |
+
|
| 138 |
+
All released arrays use sample-first orientation whenever a sample dimension is
|
| 139 |
+
present. Detailed dimensions and released shapes are documented in
|
| 140 |
+
`metadata/dimension_definitions.md`.
|
| 141 |
|
| 142 |
+
## Metadata
|
| 143 |
|
| 144 |
+
- `feature_names.csv` defines the 136 ED input features.
|
| 145 |
+
- `target_names.csv` defines the 10 ED simulation targets and 3 observed
|
| 146 |
+
carbon-flux targets.
|
| 147 |
+
- `pft_names.csv` defines broadleaf, needleleaf, and grass-and-shrub PFTs.
|
| 148 |
+
- `age_classes.csv` defines the 18 representative forest-age classes.
|
| 149 |
+
- `train_test_mask.npy` stores the GlobalMask sampling split.
|
| 150 |
+
- `normalization_statistics.npz` contains:
|
| 151 |
+
- `x_mean`: shape `[136]`
|
| 152 |
+
- `x_std`: shape `[136]`
|
| 153 |
+
- `y_mean`: shape `[10]`
|
| 154 |
+
- `y_std`: shape `[10]`
|
| 155 |
+
|
| 156 |
+
## Loading the data
|
| 157 |
|
| 158 |
```python
|
| 159 |
import numpy as np
|
| 160 |
|
| 161 |
+
file_path = "GlobalMask/train/globalmask_training_dataset.npz"
|
|
|
|
|
|
|
| 162 |
|
| 163 |
+
with np.load(file_path, allow_pickle=False) as data:
|
| 164 |
+
for key in data.files:
|
| 165 |
+
print(key, data[key].shape, data[key].dtype)
|
| 166 |
+
```
|
| 167 |
|
| 168 |
+
Load the normalization statistics with:
|
| 169 |
|
| 170 |
+
```python
|
| 171 |
+
import numpy as np
|
| 172 |
|
| 173 |
+
with np.load(
|
| 174 |
+
"metadata/normalization_statistics.npz",
|
| 175 |
+
allow_pickle=False,
|
| 176 |
+
) as stats:
|
| 177 |
+
x_mean = stats["x_mean"]
|
| 178 |
+
x_std = stats["x_std"]
|
| 179 |
+
y_mean = stats["y_mean"]
|
| 180 |
+
y_std = stats["y_std"]
|
| 181 |
+
```
|
| 182 |
|
| 183 |
+
Standardization is performed as:
|
| 184 |
|
| 185 |
+
```python
|
| 186 |
+
x_normalized = (x - x_mean) / x_std
|
| 187 |
+
y_normalized = (y - y_mean) / y_std
|
| 188 |
+
```
|
| 189 |
|
| 190 |
+
## Intended use
|
| 191 |
|
| 192 |
+
The dataset is intended for research on:
|
|
|
|
|
|
|
| 193 |
|
| 194 |
+
- global carbon-flux prediction
|
| 195 |
+
- knowledge-guided machine learning
|
| 196 |
+
- process-model emulation
|
| 197 |
+
- multi-source data fusion
|
| 198 |
+
- time-series modeling of GPP, RECO, and NEE
|
| 199 |
+
- simulation-to-observation transfer learning
|
| 200 |
+
- reproduction and comparison of DERE and baseline models
|
| 201 |
|
| 202 |
+
## Citation
|
| 203 |
|
| 204 |
If you use this dataset, please cite:
|
| 205 |
|
|
|
|
| 215 |
}
|
| 216 |
```
|
| 217 |
|
| 218 |
+
The same citation is also provided in `CITATION.cff`.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 219 |
|
| 220 |
+
## License and source terms
|
| 221 |
|
| 222 |
+
The released files combine information derived from multiple upstream sources.
|
| 223 |
+
Users are responsible for following the applicable attribution and
|
| 224 |
+
redistribution terms of those sources.
|
gitattributes
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
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| 1 |
+
*.npz filter=lfs diff=lfs merge=lfs -text
|
| 2 |
+
*.npy filter=lfs diff=lfs merge=lfs -text
|
| 3 |
+
*.parquet filter=lfs diff=lfs merge=lfs -text
|
| 4 |
+
*.csv text eol=lf
|
| 5 |
+
*.json text eol=lf
|
| 6 |
+
*.md text eol=lf
|
| 7 |
+
*.py text eol=lf
|
gitignore
ADDED
|
@@ -0,0 +1,10 @@
|
|
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|
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|
| 1 |
+
__pycache__/
|
| 2 |
+
*.py[cod]
|
| 3 |
+
.DS_Store
|
| 4 |
+
.ipynb_checkpoints/
|
| 5 |
+
.pytest_cache/
|
| 6 |
+
.mypy_cache/
|
| 7 |
+
.ruff_cache/
|
| 8 |
+
.vscode/
|
| 9 |
+
.idea/
|
| 10 |
+
recovered_sample/
|
metadata/age_classes.csv
ADDED
|
@@ -0,0 +1,19 @@
|
|
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|
| 1 |
+
index,age
|
| 2 |
+
0,1
|
| 3 |
+
1,10
|
| 4 |
+
2,20
|
| 5 |
+
3,30
|
| 6 |
+
4,41
|
| 7 |
+
5,50
|
| 8 |
+
6,60
|
| 9 |
+
7,70
|
| 10 |
+
8,90
|
| 11 |
+
9,110
|
| 12 |
+
10,140
|
| 13 |
+
11,190
|
| 14 |
+
12,240
|
| 15 |
+
13,290
|
| 16 |
+
14,340
|
| 17 |
+
15,390
|
| 18 |
+
16,440
|
| 19 |
+
17,490
|
metadata/dataset_schema.json
ADDED
|
@@ -0,0 +1,342 @@
|
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|
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|
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|
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|
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|
|
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|
|
|
|
|
|
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|
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|
|
|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"template_status": "PLACEHOLDER",
|
| 3 |
+
"canonical_orientation": "sample_first",
|
| 4 |
+
"datasets": {
|
| 5 |
+
"GlobalMask": {
|
| 6 |
+
"splits": {
|
| 7 |
+
"train": {
|
| 8 |
+
"num_samples": 3373
|
| 9 |
+
},
|
| 10 |
+
"test": {
|
| 11 |
+
"num_samples": 852
|
| 12 |
+
}
|
| 13 |
+
},
|
| 14 |
+
"variables": {
|
| 15 |
+
"x": {
|
| 16 |
+
"source": "Multiple sources; see feature_names.csv",
|
| 17 |
+
"dimensions": [
|
| 18 |
+
"sample",
|
| 19 |
+
"prediction_year",
|
| 20 |
+
"month",
|
| 21 |
+
"feature"
|
| 22 |
+
],
|
| 23 |
+
"known_shapes": {
|
| 24 |
+
"train": [
|
| 25 |
+
3373,
|
| 26 |
+
28,
|
| 27 |
+
12,
|
| 28 |
+
136
|
| 29 |
+
],
|
| 30 |
+
"test": [
|
| 31 |
+
852,
|
| 32 |
+
28,
|
| 33 |
+
12,
|
| 34 |
+
136
|
| 35 |
+
]
|
| 36 |
+
}
|
| 37 |
+
},
|
| 38 |
+
"y": {
|
| 39 |
+
"source": "ED simulation",
|
| 40 |
+
"dimensions": [
|
| 41 |
+
"sample",
|
| 42 |
+
"age_class",
|
| 43 |
+
"full_year",
|
| 44 |
+
"month",
|
| 45 |
+
"simulation_target"
|
| 46 |
+
],
|
| 47 |
+
"known_original_shapes": {
|
| 48 |
+
"train": [
|
| 49 |
+
18,
|
| 50 |
+
3373,
|
| 51 |
+
29,
|
| 52 |
+
12,
|
| 53 |
+
10
|
| 54 |
+
],
|
| 55 |
+
"test": [
|
| 56 |
+
18,
|
| 57 |
+
852,
|
| 58 |
+
29,
|
| 59 |
+
12,
|
| 60 |
+
10
|
| 61 |
+
]
|
| 62 |
+
},
|
| 63 |
+
"canonical_shapes": {
|
| 64 |
+
"train": [
|
| 65 |
+
3373,
|
| 66 |
+
18,
|
| 67 |
+
29,
|
| 68 |
+
12,
|
| 69 |
+
10
|
| 70 |
+
],
|
| 71 |
+
"test": [
|
| 72 |
+
852,
|
| 73 |
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18,
|
| 74 |
+
29,
|
| 75 |
+
12,
|
| 76 |
+
10
|
| 77 |
+
]
|
| 78 |
+
}
|
| 79 |
+
},
|
| 80 |
+
"age_weight": {
|
| 81 |
+
"source": "LiDAR-derived forest-age information",
|
| 82 |
+
"dimensions": [
|
| 83 |
+
"sample",
|
| 84 |
+
"age_class"
|
| 85 |
+
],
|
| 86 |
+
"known_original_shapes": {
|
| 87 |
+
"train": [
|
| 88 |
+
18,
|
| 89 |
+
3373
|
| 90 |
+
],
|
| 91 |
+
"test": [
|
| 92 |
+
18,
|
| 93 |
+
852
|
| 94 |
+
]
|
| 95 |
+
},
|
| 96 |
+
"canonical_shapes": {
|
| 97 |
+
"train": [
|
| 98 |
+
3373,
|
| 99 |
+
18
|
| 100 |
+
],
|
| 101 |
+
"test": [
|
| 102 |
+
852,
|
| 103 |
+
18
|
| 104 |
+
]
|
| 105 |
+
}
|
| 106 |
+
},
|
| 107 |
+
"esa_bl": {
|
| 108 |
+
"source": "ESA CCI PFT",
|
| 109 |
+
"dimensions": [
|
| 110 |
+
"sample",
|
| 111 |
+
"full_year"
|
| 112 |
+
],
|
| 113 |
+
"status": "TODO: regenerate for all GlobalMask samples; preserve missing values"
|
| 114 |
+
},
|
| 115 |
+
"esa_nl": {
|
| 116 |
+
"source": "ESA CCI PFT",
|
| 117 |
+
"dimensions": [
|
| 118 |
+
"sample",
|
| 119 |
+
"full_year"
|
| 120 |
+
],
|
| 121 |
+
"status": "TODO: regenerate for all GlobalMask samples; preserve missing values"
|
| 122 |
+
},
|
| 123 |
+
"esa_gs": {
|
| 124 |
+
"source": "ESA CCI PFT",
|
| 125 |
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"dimensions": [
|
| 126 |
+
"sample",
|
| 127 |
+
"full_year"
|
| 128 |
+
],
|
| 129 |
+
"status": "TODO: regenerate for all GlobalMask samples; preserve missing values"
|
| 130 |
+
},
|
| 131 |
+
"simulation_pft_bl": {
|
| 132 |
+
"source": "ED simulation",
|
| 133 |
+
"dimensions": [
|
| 134 |
+
"sample",
|
| 135 |
+
"age_class",
|
| 136 |
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"full_year"
|
| 137 |
+
],
|
| 138 |
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"known_original_shapes": {
|
| 139 |
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"train": [
|
| 140 |
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18,
|
| 141 |
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3373,
|
| 142 |
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29
|
| 143 |
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],
|
| 144 |
+
"test": [
|
| 145 |
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18,
|
| 146 |
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852,
|
| 147 |
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29
|
| 148 |
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]
|
| 149 |
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},
|
| 150 |
+
"canonical_shapes": {
|
| 151 |
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"train": [
|
| 152 |
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3373,
|
| 153 |
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18,
|
| 154 |
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29
|
| 155 |
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],
|
| 156 |
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"test": [
|
| 157 |
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852,
|
| 158 |
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18,
|
| 159 |
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29
|
| 160 |
+
]
|
| 161 |
+
}
|
| 162 |
+
},
|
| 163 |
+
"simulation_pft_nl": {
|
| 164 |
+
"source": "ED simulation",
|
| 165 |
+
"dimensions": [
|
| 166 |
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"sample",
|
| 167 |
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"age_class",
|
| 168 |
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"full_year"
|
| 169 |
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],
|
| 170 |
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"known_original_shapes": {
|
| 171 |
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"train": [
|
| 172 |
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18,
|
| 173 |
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3373,
|
| 174 |
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29
|
| 175 |
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|
| 176 |
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"test": [
|
| 177 |
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18,
|
| 178 |
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852,
|
| 179 |
+
29
|
| 180 |
+
]
|
| 181 |
+
},
|
| 182 |
+
"canonical_shapes": {
|
| 183 |
+
"train": [
|
| 184 |
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3373,
|
| 185 |
+
18,
|
| 186 |
+
29
|
| 187 |
+
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|
| 188 |
+
"test": [
|
| 189 |
+
852,
|
| 190 |
+
18,
|
| 191 |
+
29
|
| 192 |
+
]
|
| 193 |
+
}
|
| 194 |
+
},
|
| 195 |
+
"simulation_pft_gs": {
|
| 196 |
+
"source": "ED simulation",
|
| 197 |
+
"dimensions": [
|
| 198 |
+
"sample",
|
| 199 |
+
"age_class",
|
| 200 |
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"full_year"
|
| 201 |
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],
|
| 202 |
+
"known_original_shapes": {
|
| 203 |
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"train": [
|
| 204 |
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18,
|
| 205 |
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3373,
|
| 206 |
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29
|
| 207 |
+
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|
| 208 |
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"test": [
|
| 209 |
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18,
|
| 210 |
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852,
|
| 211 |
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29
|
| 212 |
+
]
|
| 213 |
+
},
|
| 214 |
+
"canonical_shapes": {
|
| 215 |
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"train": [
|
| 216 |
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3373,
|
| 217 |
+
18,
|
| 218 |
+
29
|
| 219 |
+
],
|
| 220 |
+
"test": [
|
| 221 |
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852,
|
| 222 |
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18,
|
| 223 |
+
29
|
| 224 |
+
]
|
| 225 |
+
}
|
| 226 |
+
}
|
| 227 |
+
}
|
| 228 |
+
},
|
| 229 |
+
"InSituMatched": {
|
| 230 |
+
"networks": [
|
| 231 |
+
"above",
|
| 232 |
+
"ameriflux",
|
| 233 |
+
"fluxnet",
|
| 234 |
+
"icos-ww",
|
| 235 |
+
"multiple"
|
| 236 |
+
],
|
| 237 |
+
"variables": {
|
| 238 |
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"simulation_x": {
|
| 239 |
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"source": "Multiple sources",
|
| 240 |
+
"dimensions": [
|
| 241 |
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"sample",
|
| 242 |
+
"prediction_year",
|
| 243 |
+
"month",
|
| 244 |
+
"feature"
|
| 245 |
+
]
|
| 246 |
+
},
|
| 247 |
+
"simulation_y": {
|
| 248 |
+
"source": "ED simulation",
|
| 249 |
+
"dimensions": [
|
| 250 |
+
"sample",
|
| 251 |
+
"age_class",
|
| 252 |
+
"full_year",
|
| 253 |
+
"month",
|
| 254 |
+
"simulation_target"
|
| 255 |
+
]
|
| 256 |
+
},
|
| 257 |
+
"observed_y": {
|
| 258 |
+
"source": "Corresponding flux-tower network",
|
| 259 |
+
"dimensions": [
|
| 260 |
+
"sample",
|
| 261 |
+
"full_year",
|
| 262 |
+
"month",
|
| 263 |
+
"observed_target"
|
| 264 |
+
]
|
| 265 |
+
},
|
| 266 |
+
"esa_bl": {
|
| 267 |
+
"source": "ESA CCI PFT",
|
| 268 |
+
"dimensions": [
|
| 269 |
+
"sample",
|
| 270 |
+
"full_year"
|
| 271 |
+
]
|
| 272 |
+
},
|
| 273 |
+
"esa_nl": {
|
| 274 |
+
"source": "ESA CCI PFT",
|
| 275 |
+
"dimensions": [
|
| 276 |
+
"sample",
|
| 277 |
+
"full_year"
|
| 278 |
+
]
|
| 279 |
+
},
|
| 280 |
+
"esa_gs": {
|
| 281 |
+
"source": "ESA CCI PFT",
|
| 282 |
+
"dimensions": [
|
| 283 |
+
"sample",
|
| 284 |
+
"full_year"
|
| 285 |
+
]
|
| 286 |
+
},
|
| 287 |
+
"age_weight": {
|
| 288 |
+
"source": "LiDAR-derived forest-age information",
|
| 289 |
+
"dimensions": [
|
| 290 |
+
"sample",
|
| 291 |
+
"age_class"
|
| 292 |
+
]
|
| 293 |
+
},
|
| 294 |
+
"sample_id": {
|
| 295 |
+
"source": "Generated during packaging",
|
| 296 |
+
"dimensions": [
|
| 297 |
+
"sample"
|
| 298 |
+
]
|
| 299 |
+
},
|
| 300 |
+
"simulation_pft_bl": {
|
| 301 |
+
"source": "ED simulation",
|
| 302 |
+
"dimensions": [
|
| 303 |
+
"sample",
|
| 304 |
+
"age_class",
|
| 305 |
+
"full_year"
|
| 306 |
+
],
|
| 307 |
+
"known_example_shape": [
|
| 308 |
+
"sample",
|
| 309 |
+
18,
|
| 310 |
+
29
|
| 311 |
+
]
|
| 312 |
+
},
|
| 313 |
+
"simulation_pft_nl": {
|
| 314 |
+
"source": "ED simulation",
|
| 315 |
+
"dimensions": [
|
| 316 |
+
"sample",
|
| 317 |
+
"age_class",
|
| 318 |
+
"full_year"
|
| 319 |
+
],
|
| 320 |
+
"known_example_shape": [
|
| 321 |
+
"sample",
|
| 322 |
+
18,
|
| 323 |
+
29
|
| 324 |
+
]
|
| 325 |
+
},
|
| 326 |
+
"simulation_pft_gs": {
|
| 327 |
+
"source": "ED simulation",
|
| 328 |
+
"dimensions": [
|
| 329 |
+
"sample",
|
| 330 |
+
"age_class",
|
| 331 |
+
"full_year"
|
| 332 |
+
],
|
| 333 |
+
"known_example_shape": [
|
| 334 |
+
"sample",
|
| 335 |
+
18,
|
| 336 |
+
29
|
| 337 |
+
]
|
| 338 |
+
}
|
| 339 |
+
}
|
| 340 |
+
}
|
| 341 |
+
}
|
| 342 |
+
}
|
metadata/dimension_definitions.md
ADDED
|
@@ -0,0 +1,407 @@
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|
|
| 1 |
+
# Dimension definitions
|
| 2 |
+
|
| 3 |
+
This document defines the dimensions and array orientations used in the
|
| 4 |
+
released DERE dataset.
|
| 5 |
+
|
| 6 |
+
## Temporal prediction setup
|
| 7 |
+
|
| 8 |
+
The complete ED target sequence spans 29 calendar years from 1992 to 2020.
|
| 9 |
+
|
| 10 |
+
The ED target values from December 1992 are used once as the initial state.
|
| 11 |
+
Together with the monthly input features from the following 28 years, this
|
| 12 |
+
initial state is used to predict the ED target variables for every month of
|
| 13 |
+
the following 28 years.
|
| 14 |
+
|
| 15 |
+
The model performs prediction over 336 monthly time steps:
|
| 16 |
+
|
| 17 |
+
```text
|
| 18 |
+
28 years × 12 months = 336 monthly prediction steps
|
| 19 |
+
```
|
| 20 |
+
|
| 21 |
+
The temporal relationship is:
|
| 22 |
+
|
| 23 |
+
```text
|
| 24 |
+
Initial state:
|
| 25 |
+
ed_simulation_y from the final month of the first year
|
| 26 |
+
|
| 27 |
+
Inputs:
|
| 28 |
+
ed_simulation_x from every month of the following 28 years
|
| 29 |
+
|
| 30 |
+
Prediction targets:
|
| 31 |
+
ed_simulation_y from every month of the following 28 years
|
| 32 |
+
```
|
| 33 |
+
|
| 34 |
+
## Core dimensions
|
| 35 |
+
|
| 36 |
+
| Dimension | Meaning |
|
| 37 |
+
|---|---|
|
| 38 |
+
| `sample` | A sampled global grid cell or an in-situ site matched to the corresponding simulation grid cell |
|
| 39 |
+
| `full_year` | Year axis of the complete ED target sequence, corresponding to 1992–2020; length 29 |
|
| 40 |
+
| `prediction_year` | Year axis of the prediction period, corresponding to 1993–2020; length 28 |
|
| 41 |
+
| `month` | Calendar month within a year; length 12 |
|
| 42 |
+
| `feature` | Model-input variable; length 136 |
|
| 43 |
+
| `simulation_target` | ED simulation output variable; length 10 |
|
| 44 |
+
| `observed_target` | In-situ carbon-flux variable; length 3 |
|
| 45 |
+
| `age_class` | Forest initial-age class used for age-specific ED simulation outputs, ED simulation PFT arrays, and LiDAR-derived age weights; length 18 |
|
| 46 |
+
| `network` | In-situ dataset identifier: `above` (ABoVE), `ameriflux` (AmeriFlux), `fluxnet` (FLUXNET), `icos-ww` (ICOS-WW), or `multiple` (sites occurring in more than one network, separated to keep the network-specific subsets non-overlapping) |
|
| 47 |
+
| `split` | Dataset partition. The released data contain training and testing splits. During model development, 10% of the training split is used as validation data. |
|
| 48 |
+
|
| 49 |
+
The 18 representative forest ages are:
|
| 50 |
+
|
| 51 |
+
```text
|
| 52 |
+
[1, 10, 20, 30, 41, 50, 60, 70, 90,
|
| 53 |
+
110, 140, 190, 240, 290, 340, 390, 440, 490]
|
| 54 |
+
```
|
| 55 |
+
|
| 56 |
+
## GlobalMask arrays
|
| 57 |
+
|
| 58 |
+
The GlobalMask dataset is divided into two non-overlapping subsets:
|
| 59 |
+
|
| 60 |
+
- `training split`: 3373 global grid-cell samples used for model training.
|
| 61 |
+
During model development, 10% of this split is selected as validation data.
|
| 62 |
+
- `testing split`: 852 held-out global grid-cell samples used for final model
|
| 63 |
+
evaluation.
|
| 64 |
+
|
| 65 |
+
The two splits contain the same variables and use the same dimension
|
| 66 |
+
definitions. They differ only in the number of samples.
|
| 67 |
+
|
| 68 |
+
### `ed_simulation_x`
|
| 69 |
+
|
| 70 |
+
The array contains the monthly ED input features for the 28-year prediction
|
| 71 |
+
period.
|
| 72 |
+
|
| 73 |
+
Dimensions:
|
| 74 |
+
|
| 75 |
+
```text
|
| 76 |
+
[sample, prediction_year, month, feature]
|
| 77 |
+
```
|
| 78 |
+
|
| 79 |
+
Released shapes:
|
| 80 |
+
|
| 81 |
+
```text
|
| 82 |
+
training split: [3373, 28, 12, 136]
|
| 83 |
+
testing split: [852, 28, 12, 136]
|
| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
### `ed_simulation_y`
|
| 87 |
+
|
| 88 |
+
The array contains the complete 29-year age-specific ED simulation target
|
| 89 |
+
sequence.
|
| 90 |
+
|
| 91 |
+
Dimensions:
|
| 92 |
+
|
| 93 |
+
```text
|
| 94 |
+
[sample, age_class, full_year, month, simulation_target]
|
| 95 |
+
```
|
| 96 |
+
|
| 97 |
+
Released shapes:
|
| 98 |
+
|
| 99 |
+
```text
|
| 100 |
+
training split: [3373, 18, 29, 12, 10]
|
| 101 |
+
testing split: [852, 18, 29, 12, 10]
|
| 102 |
+
```
|
| 103 |
+
|
| 104 |
+
The initial target state is derived from the final month of the first year:
|
| 105 |
+
|
| 106 |
+
```python
|
| 107 |
+
initial_y = ed_simulation_y[:, :, 0, -1, :]
|
| 108 |
+
```
|
| 109 |
+
|
| 110 |
+
Derived dimensions:
|
| 111 |
+
|
| 112 |
+
```text
|
| 113 |
+
[sample, age_class, simulation_target]
|
| 114 |
+
```
|
| 115 |
+
|
| 116 |
+
The prediction target contains every month of the following 28 years:
|
| 117 |
+
|
| 118 |
+
```python
|
| 119 |
+
target_y = ed_simulation_y[:, :, 1:, :, :]
|
| 120 |
+
```
|
| 121 |
+
|
| 122 |
+
Derived dimensions:
|
| 123 |
+
|
| 124 |
+
```text
|
| 125 |
+
[sample, age_class, prediction_year, month, simulation_target]
|
| 126 |
+
```
|
| 127 |
+
|
| 128 |
+
The model relationship is:
|
| 129 |
+
|
| 130 |
+
```text
|
| 131 |
+
initial_y from the final month of year 1
|
| 132 |
+
+
|
| 133 |
+
ed_simulation_x from all 336 months of the following 28 years
|
| 134 |
+
→
|
| 135 |
+
target_y for all 336 months of the following 28 years
|
| 136 |
+
```
|
| 137 |
+
|
| 138 |
+
### `ed_simulation_pft_bl`, `ed_simulation_pft_nl`, and `ed_simulation_pft_gs`
|
| 139 |
+
|
| 140 |
+
The arrays contain the annual age-specific ED simulation PFT fractions for
|
| 141 |
+
broadleaf, needleleaf, and grass-and-shrub vegetation.
|
| 142 |
+
|
| 143 |
+
Dimensions:
|
| 144 |
+
|
| 145 |
+
```text
|
| 146 |
+
[sample, age_class, full_year]
|
| 147 |
+
```
|
| 148 |
+
|
| 149 |
+
Released shapes:
|
| 150 |
+
|
| 151 |
+
```text
|
| 152 |
+
training split: [3373, 18, 29]
|
| 153 |
+
testing split: [852, 18, 29]
|
| 154 |
+
```
|
| 155 |
+
|
| 156 |
+
BL, NL, and GS are stored as separate arrays, so `pft_type` is not an explicit
|
| 157 |
+
dimension.
|
| 158 |
+
|
| 159 |
+
### `lidar_age_weight_fraction`
|
| 160 |
+
|
| 161 |
+
The array contains the LiDAR-derived fraction associated with each of the
|
| 162 |
+
18 forest age classes.
|
| 163 |
+
|
| 164 |
+
Dimensions:
|
| 165 |
+
|
| 166 |
+
```text
|
| 167 |
+
[sample, age_class]
|
| 168 |
+
```
|
| 169 |
+
|
| 170 |
+
Released shapes:
|
| 171 |
+
|
| 172 |
+
```text
|
| 173 |
+
training split: [3373, 18]
|
| 174 |
+
testing split: [852, 18]
|
| 175 |
+
```
|
| 176 |
+
|
| 177 |
+
### `esa_cci_bl_fraction`, `esa_cci_nl_fraction`, and `esa_cci_gs_fraction`
|
| 178 |
+
|
| 179 |
+
The arrays contain the annual ESA CCI broadleaf, needleleaf, and grass-and-shrub
|
| 180 |
+
vegetation PFT fractions.
|
| 181 |
+
|
| 182 |
+
Dimensions:
|
| 183 |
+
|
| 184 |
+
```text
|
| 185 |
+
[sample, full_year]
|
| 186 |
+
```
|
| 187 |
+
|
| 188 |
+
Released shapes:
|
| 189 |
+
|
| 190 |
+
```text
|
| 191 |
+
training split: [3373, 29]
|
| 192 |
+
testing split: [852, 29]
|
| 193 |
+
```
|
| 194 |
+
|
| 195 |
+
The three PFT groups are stored as separate arrays. There is no monthly
|
| 196 |
+
dimension in these arrays.
|
| 197 |
+
|
| 198 |
+
## InSituMatched arrays
|
| 199 |
+
|
| 200 |
+
The number of matched in-situ sites depends on the network subset and data
|
| 201 |
+
split. Therefore, the symbolic `sample` dimension is used below instead of a
|
| 202 |
+
fixed sample count.
|
| 203 |
+
|
| 204 |
+
### `ed_simulation_x`
|
| 205 |
+
|
| 206 |
+
The array contains the same 28-year monthly ED input sequence used in the
|
| 207 |
+
GlobalMask dataset, extracted at the matched in-situ locations.
|
| 208 |
+
|
| 209 |
+
Dimensions:
|
| 210 |
+
|
| 211 |
+
```text
|
| 212 |
+
[sample, prediction_year, month, feature]
|
| 213 |
+
```
|
| 214 |
+
|
| 215 |
+
Shape:
|
| 216 |
+
|
| 217 |
+
```text
|
| 218 |
+
[sample, 28, 12, 136]
|
| 219 |
+
```
|
| 220 |
+
|
| 221 |
+
### `ed_simulation_y`
|
| 222 |
+
|
| 223 |
+
The array contains the complete 29-year age-specific ED simulation target
|
| 224 |
+
sequence at the matched in-situ locations.
|
| 225 |
+
|
| 226 |
+
Dimensions:
|
| 227 |
+
|
| 228 |
+
```text
|
| 229 |
+
[sample, age_class, full_year, month, simulation_target]
|
| 230 |
+
```
|
| 231 |
+
|
| 232 |
+
Shape:
|
| 233 |
+
|
| 234 |
+
```text
|
| 235 |
+
[sample, 18, 29, 12, 10]
|
| 236 |
+
```
|
| 237 |
+
|
| 238 |
+
The initial state and prediction target are derived in the same way as for
|
| 239 |
+
GlobalMask:
|
| 240 |
+
|
| 241 |
+
```python
|
| 242 |
+
initial_y = ed_simulation_y[:, :, 0, -1, :]
|
| 243 |
+
target_y = ed_simulation_y[:, :, 1:, :, :]
|
| 244 |
+
```
|
| 245 |
+
|
| 246 |
+
Derived shapes:
|
| 247 |
+
|
| 248 |
+
```text
|
| 249 |
+
initial_y:
|
| 250 |
+
[sample, 18, 10]
|
| 251 |
+
|
| 252 |
+
target_y:
|
| 253 |
+
[sample, 18, 28, 12, 10]
|
| 254 |
+
```
|
| 255 |
+
|
| 256 |
+
### `observed_y`
|
| 257 |
+
|
| 258 |
+
The array contains the in-situ carbon-flux observations.
|
| 259 |
+
|
| 260 |
+
Dimensions:
|
| 261 |
+
|
| 262 |
+
```text
|
| 263 |
+
[sample, full_year, month, observed_target]
|
| 264 |
+
```
|
| 265 |
+
|
| 266 |
+
Shape:
|
| 267 |
+
|
| 268 |
+
```text
|
| 269 |
+
[sample, 29, 12, 3]
|
| 270 |
+
```
|
| 271 |
+
|
| 272 |
+
The three observed target variables are:
|
| 273 |
+
|
| 274 |
+
```text
|
| 275 |
+
GPP
|
| 276 |
+
RECO
|
| 277 |
+
NEE
|
| 278 |
+
```
|
| 279 |
+
|
| 280 |
+
For model evaluation, predictions are compared with the available in-situ
|
| 281 |
+
observations over the 28-year prediction period. Missing observation time
|
| 282 |
+
steps are excluded from evaluation.
|
| 283 |
+
|
| 284 |
+
### `lidar_age_weight_fraction`
|
| 285 |
+
|
| 286 |
+
The array contains one LiDAR-derived fraction for each of the 18 age classes.
|
| 287 |
+
|
| 288 |
+
Dimensions:
|
| 289 |
+
|
| 290 |
+
```text
|
| 291 |
+
[sample, age_class]
|
| 292 |
+
```
|
| 293 |
+
|
| 294 |
+
Shape:
|
| 295 |
+
|
| 296 |
+
```text
|
| 297 |
+
[sample, 18]
|
| 298 |
+
```
|
| 299 |
+
|
| 300 |
+
### `esa_cci_bl_fraction`, `esa_cci_nl_fraction`, and `esa_cci_gs_fraction`
|
| 301 |
+
|
| 302 |
+
The arrays contain the annual ESA CCI broadleaf, needleleaf, and grass-and-shrub
|
| 303 |
+
vegetation PFT fractions at the matched in-situ locations.
|
| 304 |
+
|
| 305 |
+
Dimensions:
|
| 306 |
+
|
| 307 |
+
```text
|
| 308 |
+
[sample, full_year]
|
| 309 |
+
```
|
| 310 |
+
|
| 311 |
+
Shape:
|
| 312 |
+
|
| 313 |
+
```text
|
| 314 |
+
[sample, 29]
|
| 315 |
+
```
|
| 316 |
+
|
| 317 |
+
The three PFT groups are stored as separate arrays. There is no monthly
|
| 318 |
+
dimension in these arrays.
|
| 319 |
+
|
| 320 |
+
## Conceptual relationship to the paper
|
| 321 |
+
|
| 322 |
+
In the paper:
|
| 323 |
+
|
| 324 |
+
- `x_(s,t)` denotes physical and environmental conditions at location `s` and
|
| 325 |
+
time `t`.
|
| 326 |
+
- `c_k` denotes an initial forest-age state.
|
| 327 |
+
- `(y^P_(s,t))_k` denotes the ED simulation output corresponding to initial age
|
| 328 |
+
state `c_k`.
|
| 329 |
+
- `y_(s,t)` denotes the in-situ carbon-flux observation.
|
| 330 |
+
- `z_(s,t)` denotes the aggregated satellite PFT observation.
|
| 331 |
+
- `alpha_k` denotes the weight associated with an initial forest-age state.
|
| 332 |
+
|
| 333 |
+
In the released prediction setup, the first-year final-month ED target values
|
| 334 |
+
provide the one-time initial target state. The monthly input features from the
|
| 335 |
+
following 28 years are then used to predict the monthly ED target values over
|
| 336 |
+
the same 28-year period.
|
| 337 |
+
|
| 338 |
+
## Released-array summary
|
| 339 |
+
|
| 340 |
+
All released arrays use sample-first orientation whenever a `sample`
|
| 341 |
+
dimension is present.
|
| 342 |
+
|
| 343 |
+
### GlobalMask
|
| 344 |
+
|
| 345 |
+
```text
|
| 346 |
+
ed_simulation_x:
|
| 347 |
+
[sample, prediction_year, month, feature]
|
| 348 |
+
|
| 349 |
+
ed_simulation_y:
|
| 350 |
+
[sample, age_class, full_year, month, simulation_target]
|
| 351 |
+
|
| 352 |
+
ed_simulation_pft_bl:
|
| 353 |
+
[sample, age_class, full_year]
|
| 354 |
+
|
| 355 |
+
ed_simulation_pft_nl:
|
| 356 |
+
[sample, age_class, full_year]
|
| 357 |
+
|
| 358 |
+
ed_simulation_pft_gs:
|
| 359 |
+
[sample, age_class, full_year]
|
| 360 |
+
|
| 361 |
+
lidar_age_weight_fraction:
|
| 362 |
+
[sample, age_class]
|
| 363 |
+
|
| 364 |
+
esa_cci_bl_fraction:
|
| 365 |
+
[sample, full_year]
|
| 366 |
+
|
| 367 |
+
esa_cci_nl_fraction:
|
| 368 |
+
[sample, full_year]
|
| 369 |
+
|
| 370 |
+
esa_cci_gs_fraction:
|
| 371 |
+
[sample, full_year]
|
| 372 |
+
```
|
| 373 |
+
|
| 374 |
+
### InSituMatched
|
| 375 |
+
|
| 376 |
+
```text
|
| 377 |
+
ed_simulation_x:
|
| 378 |
+
[sample, prediction_year, month, feature]
|
| 379 |
+
|
| 380 |
+
ed_simulation_y:
|
| 381 |
+
[sample, age_class, full_year, month, simulation_target]
|
| 382 |
+
|
| 383 |
+
lidar_age_weight_fraction:
|
| 384 |
+
[sample, age_class]
|
| 385 |
+
|
| 386 |
+
esa_cci_bl_fraction:
|
| 387 |
+
[sample, full_year]
|
| 388 |
+
|
| 389 |
+
esa_cci_nl_fraction:
|
| 390 |
+
[sample, full_year]
|
| 391 |
+
|
| 392 |
+
esa_cci_gs_fraction:
|
| 393 |
+
[sample, full_year]
|
| 394 |
+
|
| 395 |
+
observed_y:
|
| 396 |
+
[sample, full_year, month, observed_target]
|
| 397 |
+
```
|
| 398 |
+
|
| 399 |
+
The following arrays are derived from `ed_simulation_y`:
|
| 400 |
+
|
| 401 |
+
```text
|
| 402 |
+
initial_y:
|
| 403 |
+
[sample, age_class, simulation_target]
|
| 404 |
+
|
| 405 |
+
target_y:
|
| 406 |
+
[sample, age_class, prediction_year, month, simulation_target]
|
| 407 |
+
```
|
metadata/dimension_definitions.md.bak
ADDED
|
@@ -0,0 +1,380 @@
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|
| 1 |
+
# Dimension definitions
|
| 2 |
+
|
| 3 |
+
This document defines the dimensions and array orientations used in the
|
| 4 |
+
released DERE dataset.
|
| 5 |
+
|
| 6 |
+
## Temporal prediction setup
|
| 7 |
+
|
| 8 |
+
The complete ED target sequence spans 29 calendar years from 1992 to 2020.
|
| 9 |
+
|
| 10 |
+
The ED target values from December 1992 are used once as the initial state.
|
| 11 |
+
Together with the monthly input features from the following 28 years, this
|
| 12 |
+
initial state is used to predict the ED target variables for every month of
|
| 13 |
+
the following 28 years.
|
| 14 |
+
|
| 15 |
+
The model performs prediction over 336 monthly time steps:
|
| 16 |
+
|
| 17 |
+
```text
|
| 18 |
+
28 years × 12 months = 336 monthly prediction steps
|
| 19 |
+
```
|
| 20 |
+
|
| 21 |
+
The temporal relationship is:
|
| 22 |
+
|
| 23 |
+
```text
|
| 24 |
+
Initial state:
|
| 25 |
+
ed_simulation_y from the final month of the first year
|
| 26 |
+
|
| 27 |
+
Inputs:
|
| 28 |
+
ed_simulation_x from every month of the following 28 years
|
| 29 |
+
|
| 30 |
+
Prediction targets:
|
| 31 |
+
ed_simulation_y from every month of the following 28 years
|
| 32 |
+
```
|
| 33 |
+
|
| 34 |
+
## Core dimensions
|
| 35 |
+
|
| 36 |
+
| Dimension | Meaning |
|
| 37 |
+
|---|---|
|
| 38 |
+
| `sample` | A sampled global grid cell or an in-situ site matched to the corresponding simulation grid cell |
|
| 39 |
+
| `full_year` | Year axis of the complete ED target sequence, corresponding to 1992–2020; length 29 |
|
| 40 |
+
| `prediction_year` | Year axis of the prediction period, corresponding to 1993–2020; length 28 |
|
| 41 |
+
| `month` | Calendar month within a year; length 12 |
|
| 42 |
+
| `feature` | Model-input variable; length 136 |
|
| 43 |
+
| `simulation_target` | ED simulation output variable; length 10 |
|
| 44 |
+
| `observed_target` | In-situ carbon-flux variable; length 3 |
|
| 45 |
+
| `age_class` | Forest initial-age class used for age-specific ED simulation outputs, ED simulation PFT arrays, and LiDAR-derived age weights; length 18 |
|
| 46 |
+
| `network` | In-situ dataset identifier: `above` (ABoVE), `ameriflux` (AmeriFlux), `fluxnet` (FLUXNET), `icos-ww` (ICOS-WW), or `multiple` (sites occurring in more than one network, separated to keep the network-specific subsets non-overlapping) |
|
| 47 |
+
| `split` | Dataset partition. The released data contain training and testing splits. During model development, 10% of the training split is used as validation data. |
|
| 48 |
+
|
| 49 |
+
The 18 representative forest ages are:
|
| 50 |
+
|
| 51 |
+
```text
|
| 52 |
+
[1, 10, 20, 30, 41, 50, 60, 70, 90,
|
| 53 |
+
110, 140, 190, 240, 290, 340, 390, 440, 490]
|
| 54 |
+
```
|
| 55 |
+
|
| 56 |
+
## GlobalMask arrays
|
| 57 |
+
|
| 58 |
+
The GlobalMask dataset is divided into two non-overlapping subsets:
|
| 59 |
+
|
| 60 |
+
- `training split`: 3373 global grid-cell samples used for model training.
|
| 61 |
+
During model development, 10% of this split is selected as validation data.
|
| 62 |
+
- `testing split`: 852 held-out global grid-cell samples used for final model
|
| 63 |
+
evaluation.
|
| 64 |
+
|
| 65 |
+
The two splits contain the same variables and use the same dimension
|
| 66 |
+
definitions. They differ only in the number of samples.
|
| 67 |
+
|
| 68 |
+
### `ed_simulation_x`
|
| 69 |
+
|
| 70 |
+
The array contains the monthly ED input features for the 28-year prediction
|
| 71 |
+
period.
|
| 72 |
+
|
| 73 |
+
Dimensions:
|
| 74 |
+
|
| 75 |
+
```text
|
| 76 |
+
[sample, prediction_year, month, feature]
|
| 77 |
+
```
|
| 78 |
+
|
| 79 |
+
Released shapes:
|
| 80 |
+
|
| 81 |
+
```text
|
| 82 |
+
training split: [3373, 28, 12, 136]
|
| 83 |
+
testing split: [852, 28, 12, 136]
|
| 84 |
+
```
|
| 85 |
+
|
| 86 |
+
### `ed_simulation_y`
|
| 87 |
+
|
| 88 |
+
The array contains the complete 29-year age-specific ED simulation target
|
| 89 |
+
sequence.
|
| 90 |
+
|
| 91 |
+
Dimensions:
|
| 92 |
+
|
| 93 |
+
```text
|
| 94 |
+
[sample, age_class, full_year, month, simulation_target]
|
| 95 |
+
```
|
| 96 |
+
|
| 97 |
+
Released shapes:
|
| 98 |
+
|
| 99 |
+
```text
|
| 100 |
+
training split: [3373, 18, 29, 12, 10]
|
| 101 |
+
testing split: [852, 18, 29, 12, 10]
|
| 102 |
+
```
|
| 103 |
+
|
| 104 |
+
The initial target state is derived from the final month of the first year:
|
| 105 |
+
|
| 106 |
+
```python
|
| 107 |
+
initial_y = ed_simulation_y[:, :, 0, -1, :]
|
| 108 |
+
```
|
| 109 |
+
|
| 110 |
+
Derived dimensions:
|
| 111 |
+
|
| 112 |
+
```text
|
| 113 |
+
[sample, age_class, simulation_target]
|
| 114 |
+
```
|
| 115 |
+
|
| 116 |
+
The prediction target contains every month of the following 28 years:
|
| 117 |
+
|
| 118 |
+
```python
|
| 119 |
+
target_y = ed_simulation_y[:, :, 1:, :, :]
|
| 120 |
+
```
|
| 121 |
+
|
| 122 |
+
Derived dimensions:
|
| 123 |
+
|
| 124 |
+
```text
|
| 125 |
+
[sample, age_class, prediction_year, month, simulation_target]
|
| 126 |
+
```
|
| 127 |
+
|
| 128 |
+
The model relationship is:
|
| 129 |
+
|
| 130 |
+
```text
|
| 131 |
+
initial_y from the final month of year 1
|
| 132 |
+
+
|
| 133 |
+
ed_simulation_x from all 336 months of the following 28 years
|
| 134 |
+
→
|
| 135 |
+
target_y for all 336 months of the following 28 years
|
| 136 |
+
```
|
| 137 |
+
|
| 138 |
+
### `ed_simulation_pft_bl`, `ed_simulation_pft_nl`, and `ed_simulation_pft_gs`
|
| 139 |
+
|
| 140 |
+
The arrays contain the annual age-specific ED simulation PFT fractions for
|
| 141 |
+
broadleaf, needleleaf, and grass-and-shrub vegetation.
|
| 142 |
+
|
| 143 |
+
Dimensions:
|
| 144 |
+
|
| 145 |
+
```text
|
| 146 |
+
[sample, age_class, full_year]
|
| 147 |
+
```
|
| 148 |
+
|
| 149 |
+
Released shapes:
|
| 150 |
+
|
| 151 |
+
```text
|
| 152 |
+
training split: [3373, 18, 29]
|
| 153 |
+
testing split: [852, 18, 29]
|
| 154 |
+
```
|
| 155 |
+
|
| 156 |
+
BL, NL, and GS are stored as separate arrays, so `pft_type` is not an explicit
|
| 157 |
+
dimension.
|
| 158 |
+
|
| 159 |
+
### `lidar_age_weight_fraction`
|
| 160 |
+
|
| 161 |
+
The array contains the LiDAR-derived fraction associated with each of the
|
| 162 |
+
18 forest age classes.
|
| 163 |
+
|
| 164 |
+
Dimensions:
|
| 165 |
+
|
| 166 |
+
```text
|
| 167 |
+
[sample, age_class]
|
| 168 |
+
```
|
| 169 |
+
|
| 170 |
+
Released shapes:
|
| 171 |
+
|
| 172 |
+
```text
|
| 173 |
+
training split: [3373, 18]
|
| 174 |
+
testing split: [852, 18]
|
| 175 |
+
```
|
| 176 |
+
|
| 177 |
+
### `esa_cci_bl_fraction`, `esa_cci_nl_fraction`, and `esa_cci_gs_fraction`
|
| 178 |
+
|
| 179 |
+
The arrays contain the annual ESA CCI broadleaf, needleleaf, and grass-and-shrub
|
| 180 |
+
vegetation PFT fractions.
|
| 181 |
+
|
| 182 |
+
Dimensions:
|
| 183 |
+
|
| 184 |
+
```text
|
| 185 |
+
[sample, full_year]
|
| 186 |
+
```
|
| 187 |
+
|
| 188 |
+
Released shapes:
|
| 189 |
+
|
| 190 |
+
```text
|
| 191 |
+
training split: [3373, 29]
|
| 192 |
+
testing split: [852, 29]
|
| 193 |
+
```
|
| 194 |
+
|
| 195 |
+
The three PFT groups are stored as separate arrays. There is no monthly
|
| 196 |
+
dimension in these arrays.
|
| 197 |
+
|
| 198 |
+
## InSituMatched arrays
|
| 199 |
+
|
| 200 |
+
The number of matched in-situ sites depends on the network subset and data
|
| 201 |
+
split. Therefore, the symbolic `sample` dimension is used below instead of a
|
| 202 |
+
fixed sample count.
|
| 203 |
+
|
| 204 |
+
### `ed_simulation_x`
|
| 205 |
+
|
| 206 |
+
The array contains the same 28-year monthly ED input sequence used in the
|
| 207 |
+
GlobalMask dataset, extracted at the matched in-situ locations.
|
| 208 |
+
|
| 209 |
+
Dimensions:
|
| 210 |
+
|
| 211 |
+
```text
|
| 212 |
+
[sample, prediction_year, month, feature]
|
| 213 |
+
```
|
| 214 |
+
|
| 215 |
+
Shape:
|
| 216 |
+
|
| 217 |
+
```text
|
| 218 |
+
[sample, 28, 12, 136]
|
| 219 |
+
```
|
| 220 |
+
|
| 221 |
+
### `ed_simulation_y`
|
| 222 |
+
|
| 223 |
+
The array contains the complete 29-year age-specific ED simulation target
|
| 224 |
+
sequence at the matched in-situ locations.
|
| 225 |
+
|
| 226 |
+
Dimensions:
|
| 227 |
+
|
| 228 |
+
```text
|
| 229 |
+
[sample, age_class, full_year, month, simulation_target]
|
| 230 |
+
```
|
| 231 |
+
|
| 232 |
+
Shape:
|
| 233 |
+
|
| 234 |
+
```text
|
| 235 |
+
[sample, 18, 29, 12, 10]
|
| 236 |
+
```
|
| 237 |
+
|
| 238 |
+
The initial state and prediction target are derived in the same way as for
|
| 239 |
+
GlobalMask:
|
| 240 |
+
|
| 241 |
+
```python
|
| 242 |
+
initial_y = ed_simulation_y[:, :, 0, -1, :]
|
| 243 |
+
target_y = ed_simulation_y[:, :, 1:, :, :]
|
| 244 |
+
```
|
| 245 |
+
|
| 246 |
+
Derived shapes:
|
| 247 |
+
|
| 248 |
+
```text
|
| 249 |
+
initial_y:
|
| 250 |
+
[sample, 18, 10]
|
| 251 |
+
|
| 252 |
+
target_y:
|
| 253 |
+
[sample, 18, 28, 12, 10]
|
| 254 |
+
```
|
| 255 |
+
|
| 256 |
+
### `observed_y`
|
| 257 |
+
|
| 258 |
+
The array contains the in-situ carbon-flux observations.
|
| 259 |
+
|
| 260 |
+
Dimensions:
|
| 261 |
+
|
| 262 |
+
```text
|
| 263 |
+
[sample, full_year, month, observed_target]
|
| 264 |
+
```
|
| 265 |
+
|
| 266 |
+
Shape:
|
| 267 |
+
|
| 268 |
+
```text
|
| 269 |
+
[sample, 29, 12, 3]
|
| 270 |
+
```
|
| 271 |
+
|
| 272 |
+
The three observed target variables are:
|
| 273 |
+
|
| 274 |
+
```text
|
| 275 |
+
GPP
|
| 276 |
+
RECO
|
| 277 |
+
NEE
|
| 278 |
+
```
|
| 279 |
+
|
| 280 |
+
For model evaluation, predictions are compared with the available in-situ
|
| 281 |
+
observations over the 28-year prediction period. Missing observation time
|
| 282 |
+
steps are excluded from evaluation.
|
| 283 |
+
|
| 284 |
+
### `lidar_age_weight_fraction`
|
| 285 |
+
|
| 286 |
+
The array contains one LiDAR-derived fraction for each of the 18 age classes.
|
| 287 |
+
|
| 288 |
+
Dimensions:
|
| 289 |
+
|
| 290 |
+
```text
|
| 291 |
+
[sample, age_class]
|
| 292 |
+
```
|
| 293 |
+
|
| 294 |
+
Shape:
|
| 295 |
+
|
| 296 |
+
```text
|
| 297 |
+
[sample, 18]
|
| 298 |
+
```
|
| 299 |
+
|
| 300 |
+
### `esa_cci_bl_fraction`, `esa_cci_nl_fraction`, and `esa_cci_gs_fraction`
|
| 301 |
+
|
| 302 |
+
The arrays contain the annual ESA CCI broadleaf, needleleaf, and grass-and-shrub
|
| 303 |
+
vegetation PFT fractions at the matched in-situ locations.
|
| 304 |
+
|
| 305 |
+
Dimensions:
|
| 306 |
+
|
| 307 |
+
```text
|
| 308 |
+
[sample, full_year]
|
| 309 |
+
```
|
| 310 |
+
|
| 311 |
+
Shape:
|
| 312 |
+
|
| 313 |
+
```text
|
| 314 |
+
[sample, 29]
|
| 315 |
+
```
|
| 316 |
+
|
| 317 |
+
The three PFT groups are stored as separate arrays. There is no monthly
|
| 318 |
+
dimension in these arrays.
|
| 319 |
+
|
| 320 |
+
## Conceptual relationship to the paper
|
| 321 |
+
|
| 322 |
+
In the paper:
|
| 323 |
+
|
| 324 |
+
- `x_(s,t)` denotes physical and environmental conditions at location `s` and
|
| 325 |
+
time `t`.
|
| 326 |
+
- `c_k` denotes an initial forest-age state.
|
| 327 |
+
- `(y^P_(s,t))_k` denotes the ED simulation output corresponding to initial age
|
| 328 |
+
state `c_k`.
|
| 329 |
+
- `y_(s,t)` denotes the in-situ carbon-flux observation.
|
| 330 |
+
- `z_(s,t)` denotes the aggregated satellite PFT observation.
|
| 331 |
+
- `alpha_k` denotes the weight associated with an initial forest-age state.
|
| 332 |
+
|
| 333 |
+
In the released prediction setup, the first-year final-month ED target values
|
| 334 |
+
provide the one-time initial target state. The monthly input features from the
|
| 335 |
+
following 28 years are then used to predict the monthly ED target values over
|
| 336 |
+
the same 28-year period.
|
| 337 |
+
|
| 338 |
+
## Released-array summary
|
| 339 |
+
|
| 340 |
+
```text
|
| 341 |
+
ed_simulation_x:
|
| 342 |
+
[sample, prediction_year, month, feature]
|
| 343 |
+
|
| 344 |
+
ed_simulation_y:
|
| 345 |
+
[sample, age_class, full_year, month, simulation_target]
|
| 346 |
+
|
| 347 |
+
ed_simulation_pft_bl:
|
| 348 |
+
[sample, age_class, full_year]
|
| 349 |
+
|
| 350 |
+
ed_simulation_pft_nl:
|
| 351 |
+
[sample, age_class, full_year]
|
| 352 |
+
|
| 353 |
+
ed_simulation_pft_gs:
|
| 354 |
+
[sample, age_class, full_year]
|
| 355 |
+
|
| 356 |
+
lidar_age_weight_fraction:
|
| 357 |
+
[sample, age_class]
|
| 358 |
+
|
| 359 |
+
esa_cci_bl_fraction:
|
| 360 |
+
[sample, full_year]
|
| 361 |
+
|
| 362 |
+
esa_cci_nl_fraction:
|
| 363 |
+
[sample, full_year]
|
| 364 |
+
|
| 365 |
+
esa_cci_gs_fraction:
|
| 366 |
+
[sample, full_year]
|
| 367 |
+
|
| 368 |
+
observed_y:
|
| 369 |
+
[sample, full_year, month, observed_target]
|
| 370 |
+
```
|
| 371 |
+
|
| 372 |
+
The following arrays are derived from `ed_simulation_y`:
|
| 373 |
+
|
| 374 |
+
```text
|
| 375 |
+
initial_y:
|
| 376 |
+
[sample, age_class, simulation_target]
|
| 377 |
+
|
| 378 |
+
target_y:
|
| 379 |
+
[sample, age_class, prediction_year, month, simulation_target]
|
| 380 |
+
```
|
metadata/feature_names.csv
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
index_start,index_end,name,unit,description
|
| 2 |
+
0,0,ta_m,K,Monthly averaged air temperature
|
| 3 |
+
1,1,pr,mm,Total monthly precipitation
|
| 4 |
+
2,2,tsl1,K,Monthly averaged soil temp. at 0.0988 m
|
| 5 |
+
3,3,tsl2,K,Monthly averaged soil temp. at 0.1952 m
|
| 6 |
+
4,4,tsl3,K,Monthly averaged soil temp. at 0.3859 m
|
| 7 |
+
5,5,tsl4,K,Monthly averaged soil temp. at 0.7626 m
|
| 8 |
+
6,6,tsl5,K,Monthly averaged soil temp. at 1.5071 m
|
| 9 |
+
7,7,tsl6,K,Monthly averaged soil temp. at 10 m
|
| 10 |
+
8,31,co2,ppm,Monthly average of hourly CO? ambient
|
| 11 |
+
32,32,dst,1,Disturbance rate
|
| 12 |
+
33,56,hus,1,Monthly average of hourly air specific humidity
|
| 13 |
+
57,80,ta_h,K,Monthly average of hourly air temperature
|
| 14 |
+
81,104,rsds,W m?�,Monthly average of hourly DSR
|
| 15 |
+
105,128,sfcWind,m s?�,Monthly average of hourly wind speed
|
| 16 |
+
129,129,k_sat,mm yr?�,Saturated hydraulic conductivity
|
| 17 |
+
130,130,s_theta,m� m?�,Saturated water content in MVG
|
| 18 |
+
131,131,r_theta,m� m?�,Residual water content in MVG
|
| 19 |
+
132,132,L,1,Parameter L in MVG
|
| 20 |
+
133,133,n,1,Parameter n in MVG
|
| 21 |
+
134,134,m,1,Parameter m in MVG
|
| 22 |
+
135,135,sd,mm,Soil depth to bedrock
|
metadata/insitu_site_metadata.csv
ADDED
|
@@ -0,0 +1,317 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
+
network,split,site_id,latitude,longitude
|
| 2 |
+
above,train,0,68.3541488,19.050333
|
| 3 |
+
above,train,1,68.74617,-133.50171
|
| 4 |
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above,train,2,55.87962,-98.48081
|
| 5 |
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above,train,3,53.91634,-104.69203
|
| 6 |
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above,train,4,53.15,-104.1
|
| 7 |
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above,train,5,64.182029,19.556539
|
| 8 |
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above,train,6,55.91667,-98.96444
|
| 9 |
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above,train,7,67.05,62.933333
|
| 10 |
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above,train,8,61.3079,-121.2992
|
| 11 |
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above,train,9,67.997239,24.209178
|
| 12 |
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above,train,10,70.4696,-157.4089
|
| 13 |
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above,train,11,64.8689,-111.5748
|
| 14 |
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above,train,12,65.12367,-147.48756
|
| 15 |
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above,train,13,65.11983333,-147.5123528
|
| 16 |
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above,train,14,65.396775,-149.1214944
|
| 17 |
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above,train,15,53.62889,-106.19779
|
| 18 |
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above,train,16,64.11277777,19.45694444
|
| 19 |
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above,train,17,68.61304,161.34143
|
| 20 |
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above,train,18,62.7833,30.9333
|
| 21 |
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above,train,19,54.47,-113.32
|
| 22 |
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above,train,20,60.125,17.91805556
|
| 23 |
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above,train,21,60.016,133.824
|
| 24 |
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above,train,22,54.25392,-105.8775
|
| 25 |
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above,train,23,60.9,68.7
|
| 26 |
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above,train,24,60.8008,89.3507
|
| 27 |
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above,train,25,52.29027778,-75.25416667
|
| 28 |
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above,train,26,54.95384,-112.46698
|
| 29 |
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above,train,27,56.4615278,32.9220833
|
| 30 |
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above,train,28,53.98717,-105.11779
|
| 31 |
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above,train,29,60.08649722,17.47950278
|
| 32 |
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above,train,30,56.63583,-99.94833
|
| 33 |
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above,train,31,69.5056,-148.225
|
| 34 |
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above,train,32,63.153,-123.252
|
| 35 |
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above,train,33,67.7549,29.690137
|
| 36 |
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above,train,34,67.36238641,26.63859066
|
| 37 |
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above,train,35,60.64183,23.95952
|
| 38 |
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above,train,36,49.6925,-74.34206
|
| 39 |
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above,train,37,70.82913889,147.4942778
|
| 40 |
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above,train,38,64.1382,-51.3784
|
| 41 |
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above,train,39,63.8784,-149.2536
|
| 42 |
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above,train,40,72.3738231,126.4957919
|
| 43 |
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above,train,41,48.27333333,106.8508333
|
| 44 |
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above,train,42,60.99825,16.21727778
|
| 45 |
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above,train,43,68.4865,-155.7503
|
| 46 |
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above,train,44,48.2167,-82.1556
|
| 47 |
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above,train,45,61.84741,24.29477
|
| 48 |
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above,train,46,63.79025,-68.56005
|
| 49 |
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above,train,47,70.35,-148.55
|
| 50 |
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ameriflux,train,0,38.0992,-121.4993
|
| 51 |
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ameriflux,train,1,38.2006,-122.0264
|
| 52 |
+
ameriflux,train,2,35.089,-111.762
|
| 53 |
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ameriflux,train,3,42.5378,-72.1715
|
| 54 |
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ameriflux,train,4,27.3836,-81.9509
|
| 55 |
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ameriflux,train,5,44.1467,-89.5002
|
| 56 |
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ameriflux,train,6,43.0645,-116.7486
|
| 57 |
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ameriflux,train,7,33.3482,-79.2322
|
| 58 |
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ameriflux,train,8,45.7624,-122.3303
|
| 59 |
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ameriflux,train,9,39.0603,-78.0716
|
| 60 |
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ameriflux,train,10,46.7697,-100.9154
|
| 61 |
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ameriflux,train,11,40.1776,-112.4524
|
| 62 |
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ameriflux,train,12,43.6405,-80.4123
|
| 63 |
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ameriflux,train,13,64.8618,-163.7002
|
| 64 |
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ameriflux,train,14,27.8446,-109.2977
|
| 65 |
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ameriflux,train,15,40.4619,-103.0293
|
| 66 |
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ameriflux,train,16,65.1198,-147.429
|
| 67 |
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ameriflux,train,17,-16.498,-56.412
|
| 68 |
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ameriflux,train,18,63.8811,-145.7514
|
| 69 |
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ameriflux,train,19,65.3968,-148.9348
|
| 70 |
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ameriflux,train,20,39.2298,-92.1167
|
| 71 |
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ameriflux,train,21,34.4385,-106.2377
|
| 72 |
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ameriflux,train,22,31.8173,-110.8508
|
| 73 |
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ameriflux,train,23,46.7815,-117.0821
|
| 74 |
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ameriflux,train,24,33.4012,-97.57
|
| 75 |
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ameriflux,train,25,35.799,-76.656
|
| 76 |
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ameriflux,train,26,49.8673,-125.3336
|
| 77 |
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ameriflux,train,27,38.8929,-78.1395
|
| 78 |
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ameriflux,train,28,-3.8344,-73.319
|
| 79 |
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ameriflux,train,29,47.1617,-99.1066
|
| 80 |
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ameriflux,train,30,32.5849,-106.6032
|
| 81 |
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ameriflux,train,31,38.09,-109.39
|
| 82 |
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ameriflux,train,32,39.0561,-95.1907
|
| 83 |
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ameriflux,train,33,44.9535,-110.5391
|
| 84 |
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ameriflux,train,34,28.125,-81.4362
|
| 85 |
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ameriflux,train,35,41.3795,-82.5125
|
| 86 |
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ameriflux,train,36,-7.9682,-38.3842
|
| 87 |
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ameriflux,train,37,31.5659,-110.1344
|
| 88 |
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ameriflux,train,38,28.7084,-80.7427
|
| 89 |
+
ameriflux,train,39,68.6058,-149.311
|
| 90 |
+
ameriflux,train,40,43.0896,-89.4158
|
| 91 |
+
ameriflux,train,41,52.7008,-83.955
|
| 92 |
+
ameriflux,train,42,38.7441,-92.2
|
| 93 |
+
ameriflux,train,43,38.8901,-76.56
|
| 94 |
+
ameriflux,train,44,39.0824,-96.5603
|
| 95 |
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ameriflux,train,45,34.3349,-106.7442
|
| 96 |
+
ameriflux,train,46,44.7143,-93.0898
|
| 97 |
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ameriflux,train,47,40.8608,-77.8488
|
| 98 |
+
ameriflux,train,48,49.1293,-122.9849
|
| 99 |
+
ameriflux,train,49,39.0882,-75.4372
|
| 100 |
+
ameriflux,train,50,65.154,-147.5026
|
| 101 |
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ameriflux,train,51,34.4255,-105.8615
|
| 102 |
+
ameriflux,train,52,38.9488,-91.9945
|
| 103 |
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ameriflux,train,53,45.2091,-68.747
|
| 104 |
+
ameriflux,train,54,35.8884,-106.5321
|
| 105 |
+
ameriflux,train,55,43.3448,-89.7117
|
| 106 |
+
ameriflux,train,56,32.5417,-87.8039
|
| 107 |
+
ameriflux,train,57,40.2759,-105.5459
|
| 108 |
+
ameriflux,train,58,55.1119,-122.8414
|
| 109 |
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ameriflux,train,59,29.6893,-81.9934
|
| 110 |
+
ameriflux,train,60,36.8193,-97.8198
|
| 111 |
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ameriflux,train,61,58.6658,-93.83
|
| 112 |
+
ameriflux,train,62,64.6963,-148.3235
|
| 113 |
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ameriflux,train,63,46.2339,-89.5373
|
| 114 |
+
ameriflux,train,64,44.3167,-79.9333
|
| 115 |
+
ameriflux,train,65,50.1774,-97.8686
|
| 116 |
+
ameriflux,train,66,39.2167,-86.5406
|
| 117 |
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fluxnet,train,0,55.6905,12.1918
|
| 118 |
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fluxnet,train,1,-30.1913,120.6541
|
| 119 |
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fluxnet,train,2,-28.2395,-56.1886
|
| 120 |
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fluxnet,train,3,41.3966,-106.8024
|
| 121 |
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fluxnet,train,4,46.0827,-89.9792
|
| 122 |
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fluxnet,train,5,38.1087,-121.6531
|
| 123 |
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fluxnet,train,6,47.1167,11.3175
|
| 124 |
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fluxnet,train,7,-15.2588,132.3706
|
| 125 |
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fluxnet,train,8,44.7171,-0.7693
|
| 126 |
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fluxnet,train,9,41.8494,13.5881
|
| 127 |
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fluxnet,train,10,-34.0021,140.5891
|
| 128 |
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fluxnet,train,11,36.8336,-2.2523
|
| 129 |
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fluxnet,train,12,-13.0769,131.1178
|
| 130 |
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fluxnet,train,13,37.0979,-2.9658
|
| 131 |
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fluxnet,train,14,47.8064,11.3275
|
| 132 |
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fluxnet,train,15,30.4978,91.0664
|
| 133 |
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fluxnet,train,16,50.8706,6.4497
|
| 134 |
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fluxnet,train,17,54.7252,90.0022
|
| 135 |
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fluxnet,train,18,44.3869,142.3186
|
| 136 |
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fluxnet,train,19,26.7414,115.0581
|
| 137 |
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fluxnet,train,20,52.1666,5.7436
|
| 138 |
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fluxnet,train,21,35.2617,137.0788
|
| 139 |
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fluxnet,train,22,60.8986,23.5134
|
| 140 |
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fluxnet,train,23,70.8291,147.4943
|
| 141 |
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fluxnet,train,24,70.4696,-157.4089
|
| 142 |
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fluxnet,train,25,53.9872,-105.1178
|
| 143 |
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fluxnet,train,26,45.2009,9.061
|
| 144 |
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fluxnet,train,27,41.7902,111.8971
|
| 145 |
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fluxnet,train,28,-36.6732,145.0294
|
| 146 |
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fluxnet,train,29,36.9695,-3.4758
|
| 147 |
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fluxnet,train,30,42.3804,12.0266
|
| 148 |
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fluxnet,train,31,2.973,102.3062
|
| 149 |
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fluxnet,train,32,56.4842,9.5872
|
| 150 |
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fluxnet,train,33,-22.283,133.249
|
| 151 |
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fluxnet,train,34,53.8759,12.889
|
| 152 |
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fluxnet,train,35,-14.5636,132.4776
|
| 153 |
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fluxnet,train,36,-34.9893,146.2907
|
| 154 |
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fluxnet,train,37,46.6869,-91.1528
|
| 155 |
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fluxnet,train,38,13.2829,30.4783
|
| 156 |
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fluxnet,train,39,45.8126,8.6336
|
| 157 |
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fluxnet,train,40,-33.4648,-66.4598
|
| 158 |
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fluxnet,train,41,49.0996,13.3047
|
| 159 |
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fluxnet,train,42,34.2547,-89.8735
|
| 160 |
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fluxnet,train,43,44.4992,-121.6224
|
| 161 |
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fluxnet,train,44,42.7102,-80.3574
|
| 162 |
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fluxnet,train,45,-3.018,-54.9714
|
| 163 |
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fluxnet,train,46,67.9972,24.2092
|
| 164 |
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fluxnet,train,47,23.1733,112.5361
|
| 165 |
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fluxnet,train,48,-23.8587,148.4746
|
| 166 |
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fluxnet,train,49,42.4025,128.0958
|
| 167 |
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fluxnet,train,50,68.4865,-155.7503
|
| 168 |
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fluxnet,train,51,47.2858,7.7319
|
| 169 |
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fluxnet,train,52,42.0467,116.2836
|
| 170 |
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fluxnet,train,53,-12.5452,131.3072
|
| 171 |
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fluxnet,train,54,68.613,161.3414
|
| 172 |
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fluxnet,train,55,55.8796,-98.4808
|
| 173 |
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fluxnet,train,56,15.4028,-15.4322
|
| 174 |
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fluxnet,train,57,67.3624,26.6386
|
| 175 |
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fluxnet,train,58,-15.4391,23.2525
|
| 176 |
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fluxnet,train,59,37.6086,101.3269
|
| 177 |
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fluxnet,train,60,51.8922,14.0337
|
| 178 |
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fluxnet,train,61,5.2685,-2.6942
|
| 179 |
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fluxnet,train,62,31.8214,-110.8661
|
| 180 |
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fluxnet,train,63,37.37,101.18
|
| 181 |
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fluxnet,train,64,44.5934,123.5092
|
| 182 |
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fluxnet,train,65,-17.1507,133.3502
|
| 183 |
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fluxnet,train,66,49.4944,18.5429
|
| 184 |
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fluxnet,train,67,45.8059,-90.0799
|
| 185 |
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icos-ww,train,0,49.035975,17.9699
|
| 186 |
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icos-ww,train,1,56.4476,32.9019
|
| 187 |
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icos-ww,train,2,37.914998,-3.227659
|
| 188 |
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icos-ww,train,3,36.940046,-2.033208
|
| 189 |
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icos-ww,train,4,64.1725,19.738
|
| 190 |
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icos-ww,train,5,39.934592,-5.775881
|
| 191 |
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icos-ww,train,6,53.32309,-7.641774
|
| 192 |
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icos-ww,train,7,50.96381,13.48978
|
| 193 |
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icos-ww,train,8,31.34504459,35.05198851
|
| 194 |
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multiple,train,0,47.2864,7.7337
|
| 195 |
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multiple,train,1,36.4267,-99.42
|
| 196 |
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multiple,train,2,67.7549,29.61
|
| 197 |
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multiple,train,3,41.3665,-106.2399
|
| 198 |
+
multiple,train,4,48.4764,2.7801
|
| 199 |
+
multiple,train,5,48.2167,-82.1556
|
| 200 |
+
multiple,train,6,44.493653,-0.956092
|
| 201 |
+
multiple,train,7,50.979868,5.631851
|
| 202 |
+
multiple,train,8,55.9117,-98.3822
|
| 203 |
+
multiple,train,9,64.182,19.5565
|
| 204 |
+
multiple,train,10,49.6925,-74.3421
|
| 205 |
+
multiple,train,11,64.1308,-51.3861
|
| 206 |
+
multiple,train,12,28.6086,-80.6715
|
| 207 |
+
multiple,train,13,55.9058,-98.5247
|
| 208 |
+
multiple,train,14,45.9562,11.2813
|
| 209 |
+
multiple,train,15,43.496438,1.237878
|
| 210 |
+
multiple,train,16,42.6609,-80.5595
|
| 211 |
+
multiple,train,17,60.6418,23.9595
|
| 212 |
+
multiple,train,18,50.6219,6.3041
|
| 213 |
+
multiple,train,19,61.8474,24.2948
|
| 214 |
+
multiple,train,20,41.6285,-83.3471
|
| 215 |
+
multiple,train,21,44.4526,-121.5589
|
| 216 |
+
multiple,train,22,54.2539,-105.8775
|
| 217 |
+
multiple,train,23,41.4646,-82.9962
|
| 218 |
+
multiple,train,24,36.9266,-2.7521
|
| 219 |
+
multiple,train,25,56.0737,9.3341
|
| 220 |
+
multiple,train,26,36.6358,-99.5975
|
| 221 |
+
multiple,train,27,40.0329,-105.5464
|
| 222 |
+
multiple,train,28,52.08656,11.22235
|
| 223 |
+
multiple,train,29,48.6741,7.06465
|
| 224 |
+
multiple,train,30,45.197755,10.741966
|
| 225 |
+
multiple,train,31,50.5516,4.7462
|
| 226 |
+
multiple,train,32,36.3566,-119.0922
|
| 227 |
+
multiple,train,33,67.98721472,24.24301028
|
| 228 |
+
multiple,train,34,46.0147,11.0458
|
| 229 |
+
multiple,train,35,51.0997,10.9146
|
| 230 |
+
multiple,train,36,43.7413,3.5957
|
| 231 |
+
multiple,train,37,44.5794,-121.5
|
| 232 |
+
multiple,train,38,36.6058,-97.4888
|
| 233 |
+
multiple,train,39,46.242,-89.3477
|
| 234 |
+
multiple,train,40,31.7438,-110.0522
|
| 235 |
+
multiple,train,41,31.7894,-110.8277
|
| 236 |
+
multiple,train,42,53.8662,13.6834
|
| 237 |
+
multiple,train,43,43.549649,1.106103
|
| 238 |
+
multiple,train,44,28.4583,-80.6709
|
| 239 |
+
multiple,train,45,47.1158,8.5378
|
| 240 |
+
multiple,train,46,38.0499,-121.765
|
| 241 |
+
multiple,train,47,47.3229,2.2841
|
| 242 |
+
multiple,train,48,49.5021,18.5369
|
| 243 |
+
multiple,train,49,35.5497,-98.0402
|
| 244 |
+
multiple,train,50,45.740481,12.750297
|
| 245 |
+
multiple,train,51,56.09763,13.41897
|
| 246 |
+
multiple,train,52,47.4783,8.3644
|
| 247 |
+
multiple,train,53,46.5869,11.4337
|
| 248 |
+
multiple,train,54,60.08649722,17.47950278
|
| 249 |
+
multiple,train,55,41.5545,-83.8438
|
| 250 |
+
multiple,train,56,5.2788,-52.9249
|
| 251 |
+
multiple,train,57,48.6815483,16.9463317
|
| 252 |
+
above,test,0,64.208888,100.463555
|
| 253 |
+
above,test,1,62.255,129.168
|
| 254 |
+
above,test,2,68.6068,-149.2958
|
| 255 |
+
above,test,3,60.64683333,24.356167
|
| 256 |
+
above,test,4,68.633333,-149.575556
|
| 257 |
+
above,test,5,69.14057,27.26985
|
| 258 |
+
above,test,6,55.5375,-112.3343
|
| 259 |
+
above,test,7,64.86627,-147.85553
|
| 260 |
+
above,test,8,71.59427,128.88782
|
| 261 |
+
above,test,9,68.35,18.816667
|
| 262 |
+
above,test,10,54.09156,-106.00526
|
| 263 |
+
above,test,11,69.1423,-148.8412
|
| 264 |
+
ameriflux,test,0,63.8784,-149.2536
|
| 265 |
+
ameriflux,test,1,46.6889,-119.4641
|
| 266 |
+
ameriflux,test,2,39.3232,-86.4131
|
| 267 |
+
ameriflux,test,3,38.7745,-97.5684
|
| 268 |
+
ameriflux,test,4,37.1088,-119.7323
|
| 269 |
+
ameriflux,test,5,38.0369,-121.7547
|
| 270 |
+
ameriflux,test,6,40.8155,-104.7456
|
| 271 |
+
ameriflux,test,7,45.4937,-89.5857
|
| 272 |
+
ameriflux,test,8,41.1651,-96.4766
|
| 273 |
+
ameriflux,test,9,44.0646,-71.2881
|
| 274 |
+
ameriflux,test,10,32.9505,-87.3933
|
| 275 |
+
ameriflux,test,11,35.7879,-75.9038
|
| 276 |
+
ameriflux,test,12,31.1948,-84.4686
|
| 277 |
+
ameriflux,test,13,35.689,-83.5019
|
| 278 |
+
ameriflux,test,14,35.4106,-99.0588
|
| 279 |
+
ameriflux,test,15,-54.9733,-66.7335
|
| 280 |
+
ameriflux,test,16,45.5089,-89.5864
|
| 281 |
+
ameriflux,test,17,37.3783,-80.5248
|
| 282 |
+
fluxnet,test,0,41.8406,-88.241
|
| 283 |
+
fluxnet,test,1,-37.4222,144.0944
|
| 284 |
+
fluxnet,test,2,51.3282,10.3678
|
| 285 |
+
fluxnet,test,3,-22.287,133.64
|
| 286 |
+
fluxnet,test,4,54.0916,-106.0053
|
| 287 |
+
fluxnet,test,5,-36.6499,145.5759
|
| 288 |
+
fluxnet,test,6,-14.1593,131.3881
|
| 289 |
+
fluxnet,test,7,52.2403,5.0713
|
| 290 |
+
fluxnet,test,8,-33.6152,150.7236
|
| 291 |
+
fluxnet,test,9,38.8953,-120.6328
|
| 292 |
+
fluxnet,test,10,53.6289,-106.1978
|
| 293 |
+
fluxnet,test,11,65.1237,-147.4876
|
| 294 |
+
fluxnet,test,12,-37.4259,145.1878
|
| 295 |
+
fluxnet,test,13,45.9542,11.2853
|
| 296 |
+
fluxnet,test,14,41.3658,-106.2397
|
| 297 |
+
fluxnet,test,15,-17.1175,145.6301
|
| 298 |
+
icos-ww,test,0,49.4437236,16.6965125
|
| 299 |
+
icos-ww,test,1,50.311874,4.968113
|
| 300 |
+
icos-ww,test,2,49.573257,15.078773
|
| 301 |
+
icos-ww,test,3,38.701839,-6.785881
|
| 302 |
+
multiple,test,0,56.4615,32.9221
|
| 303 |
+
multiple,test,1,31.7365,-109.9419
|
| 304 |
+
multiple,test,2,40.5237,14.9574
|
| 305 |
+
multiple,test,3,38.4133,-120.9508
|
| 306 |
+
multiple,test,4,40.0201,-83.0183
|
| 307 |
+
multiple,test,5,46.7393,-91.1663
|
| 308 |
+
multiple,test,6,49.0247,14.7704
|
| 309 |
+
multiple,test,7,50.9626,13.5651
|
| 310 |
+
multiple,test,8,48.8442,1.9519
|
| 311 |
+
multiple,test,9,45.8444,7.5781
|
| 312 |
+
multiple,test,10,51.11218,3.85043
|
| 313 |
+
multiple,test,11,50.3049,5.9981
|
| 314 |
+
multiple,test,12,51.0792,10.4522
|
| 315 |
+
multiple,test,13,56.6358,-99.9483
|
| 316 |
+
multiple,test,14,51.3076,4.5198
|
| 317 |
+
multiple,test,15,42.7068,-80.3483
|
metadata/normalization_statistics.npz
ADDED
|
Binary file (3.33 kB). View file
|
|
|
metadata/pft_names.csv
ADDED
|
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
index,abbreviation,full_name,unit,description
|
| 2 |
+
0,BL,Broadleaf,1,Proportion of broadleaf vegetation
|
| 3 |
+
1,NL,Needleleaf,1,Proportion of needleleaf vegetation
|
| 4 |
+
2,GS,Grass and Shrub,1,Proportion of grass and shrub vegetation
|
metadata/repository_manifest.csv
ADDED
|
@@ -0,0 +1,44 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
path,category,status,source,required_action
|
| 2 |
+
README.md,Documentation,Prepared,DERE design + GeoSR-Bench organizational reference,Review and replace TODOs
|
| 3 |
+
LICENSE_PLACEHOLDER.md,License,Placeholder,Unknown,Verify all source licenses
|
| 4 |
+
CITATION.cff,Citation,Placeholder,User/project metadata,"Add DOI, date, final citation"
|
| 5 |
+
metadata/feature_names.csv,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 6 |
+
metadata/target_names.csv,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 7 |
+
metadata/pft_names.csv,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 8 |
+
metadata/age_classes.csv,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 9 |
+
metadata/insitu_site_metadata.csv,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 10 |
+
metadata/source_licenses.csv,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 11 |
+
metadata/dataset_schema.json,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 12 |
+
metadata/dimension_definitions.md,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 13 |
+
metadata/repository_manifest.xlsx,Metadata,Template,Current inventory / user definitions,Complete TODO fields
|
| 14 |
+
metadata/train_test_mask.npy,Metadata,Missing,Original global mask,Copy original file
|
| 15 |
+
GlobalMask/train/data.npz,Data,Missing,Simulation + ESA CCI + LiDAR age weight,Replace placeholder
|
| 16 |
+
GlobalMask/test/data.npz,Data,Missing,Simulation + ESA CCI + LiDAR age weight,Replace placeholder
|
| 17 |
+
InSituMatched/above/train/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 48 samples
|
| 18 |
+
InSituMatched/above/test/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 12 samples
|
| 19 |
+
InSituMatched/ameriflux/train/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 67 samples
|
| 20 |
+
InSituMatched/ameriflux/test/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 18 samples
|
| 21 |
+
InSituMatched/fluxnet/train/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 68 samples
|
| 22 |
+
InSituMatched/fluxnet/test/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 16 samples
|
| 23 |
+
InSituMatched/icos-ww/train/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 9 samples
|
| 24 |
+
InSituMatched/icos-ww/test/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 4 samples
|
| 25 |
+
InSituMatched/multiple/train/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 58 samples
|
| 26 |
+
InSituMatched/multiple/test/data.npz,Data,Missing,Simulation + flux tower + ESA CCI + LiDAR age weight,Replace placeholder; expected 16 samples
|
| 27 |
+
viewer/global_mask/train.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 28 |
+
viewer/global_mask/test.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 29 |
+
viewer/insitu_matched/above/train.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 30 |
+
viewer/insitu_matched/above/test.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 31 |
+
viewer/insitu_matched/ameriflux/train.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 32 |
+
viewer/insitu_matched/ameriflux/test.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 33 |
+
viewer/insitu_matched/fluxnet/train.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 34 |
+
viewer/insitu_matched/fluxnet/test.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 35 |
+
viewer/insitu_matched/icos-ww/train.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 36 |
+
viewer/insitu_matched/icos-ww/test.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 37 |
+
viewer/insitu_matched/multiple/train.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 38 |
+
viewer/insitu_matched/multiple/test.csv,Viewer,Header template,Generated manifest,Run create_viewer_tables.py
|
| 39 |
+
scripts/load_dataset_example.py,Script,Ready,Repository preparation,Review and run as applicable
|
| 40 |
+
scripts/create_viewer_tables.py,Script,Ready,Repository preparation,Review and run as applicable
|
| 41 |
+
scripts/validate_dataset.py,Script,Ready,Repository preparation,Review and run as applicable
|
| 42 |
+
scripts/create_pure_mixed_subsets.py,Script,Guarded placeholder,Repository preparation,Review and run as applicable
|
| 43 |
+
scripts/extract_esa_cci_for_global_mask.py,Script,Guarded placeholder,Repository preparation,Review and run as applicable
|
| 44 |
+
scripts/match_insitu_sites.py,Script,Guarded placeholder,Repository preparation,Review and run as applicable
|
metadata/repository_manifest.xlsx
ADDED
|
Binary file (6.67 kB). View file
|
|
|
metadata/source_licenses.csv
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
data_component,source_name,source_url,license_or_terms,redistribution_allowed,citation,status_notes
|
| 2 |
+
simulation_y,ED simulation,TODO,TODO,TODO,TODO,Verify before release
|
| 3 |
+
simulation_pft,ED simulation,TODO,TODO,TODO,TODO,Verify before release
|
| 4 |
+
input_features,Multiple sources,See feature_names.csv,TODO per feature,TODO,TODO,Verify each feature
|
| 5 |
+
observed_y,Flux-tower networks,TODO per network,TODO per network,TODO,TODO,Verify each network
|
| 6 |
+
esa_cci_pft,ESA CCI PFT,TODO,TODO,TODO,TODO,Verify product terms
|
| 7 |
+
age_weight,LiDAR-derived forest age,TODO,TODO,TODO,TODO,Verify source and derivation
|
metadata/target_names.csv
ADDED
|
@@ -0,0 +1,11 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
index,name,unit,description
|
| 2 |
+
0,Height,m,Vegetation canopy height
|
| 3 |
+
1,AGB,kgC m-2 yr-1,Aboveground biomass
|
| 4 |
+
2,SC,kgC m-2 yr-1, Soil carbon
|
| 5 |
+
3, LAI,1,Leaf area index
|
| 6 |
+
4, GPP,kgC m-2 yr-1,Gross primary production
|
| 7 |
+
5, NPP,kgC m-2 yr-1,Net primary production
|
| 8 |
+
6, Rh,kgC m-2 yr-1,Heterotrophic respiration
|
| 9 |
+
7, NEE,kgC m-2 yr-1,Net ecosystem exchange
|
| 10 |
+
8, Ra,kgC m-2 yr-1,Autotrophic respiration
|
| 11 |
+
9, RECO,kgC m-2 yr-1,Ecosystem respiration
|
metadata/train_test_mask.md
ADDED
|
@@ -0,0 +1,65 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
# `train_test_mask.npy`
|
| 2 |
+
|
| 3 |
+
`train_test_mask.npy` stores the spatial sample-selection mask used to define
|
| 4 |
+
the GlobalMask training and testing subsets.
|
| 5 |
+
|
| 6 |
+
## Array definition
|
| 7 |
+
|
| 8 |
+
```text
|
| 9 |
+
shape: (360, 720)
|
| 10 |
+
dtype: int64
|
| 11 |
+
dimensions: [row, column]
|
| 12 |
+
spatial resolution: 0.5°
|
| 13 |
+
```
|
| 14 |
+
|
| 15 |
+
The mask contains 259,200 grid cells in total.
|
| 16 |
+
|
| 17 |
+
## Mask values
|
| 18 |
+
|
| 19 |
+
| Value | Meaning | Number of grid cells |
|
| 20 |
+
|---|---|---:|
|
| 21 |
+
| `0` | Grid cell not selected | 254,975 |
|
| 22 |
+
| `1` | Training sample | 3,373 |
|
| 23 |
+
| `2` | Testing sample | 852 |
|
| 24 |
+
|
| 25 |
+
## Selected samples
|
| 26 |
+
|
| 27 |
+
```text
|
| 28 |
+
training samples: 3,373
|
| 29 |
+
testing samples: 852
|
| 30 |
+
total selected: 4,225
|
| 31 |
+
```
|
| 32 |
+
|
| 33 |
+
The selected-cell counts match the sample dimensions of the released
|
| 34 |
+
GlobalMask arrays:
|
| 35 |
+
|
| 36 |
+
```text
|
| 37 |
+
GlobalMask/train: 3,373 samples
|
| 38 |
+
GlobalMask/test: 852 samples
|
| 39 |
+
```
|
| 40 |
+
|
| 41 |
+
## Approximate selection principle
|
| 42 |
+
|
| 43 |
+
The mask represents a sparse global sample rather than all 0.5° grid cells.
|
| 44 |
+
Candidate land grid cells were spatially subsampled at approximately every
|
| 45 |
+
four grid cells to reduce redundancy while retaining broad geographic
|
| 46 |
+
coverage. The selected cells were then divided into training and testing
|
| 47 |
+
subsets at approximately an 80:20 ratio.
|
| 48 |
+
|
| 49 |
+
Grid cells not included in the sampled set are assigned `0`, training cells
|
| 50 |
+
are assigned `1`, and testing cells are assigned `2`.
|
| 51 |
+
|
| 52 |
+
## Loading example
|
| 53 |
+
|
| 54 |
+
```python
|
| 55 |
+
import numpy as np
|
| 56 |
+
|
| 57 |
+
mask = np.load("metadata/train_test_mask.npy")
|
| 58 |
+
|
| 59 |
+
train_rows, train_cols = np.where(mask == 1)
|
| 60 |
+
test_rows, test_cols = np.where(mask == 2)
|
| 61 |
+
|
| 62 |
+
print(mask.shape)
|
| 63 |
+
print(len(train_rows))
|
| 64 |
+
print(len(test_rows))
|
| 65 |
+
```
|
metadata/train_test_mask.npy
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f97b7f2b5065459b519f1d9be0b846156cae446c3262962ef8d66eeffeeb536d
|
| 3 |
+
size 2073728
|
viewer/README.md
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
| 1 |
+
# Viewer tables
|
| 2 |
+
|
| 3 |
+
This directory contains lightweight sample-index tables for the Hugging Face
|
| 4 |
+
Dataset Viewer. The multidimensional scientific arrays remain in the NPZ files.
|
| 5 |
+
|
| 6 |
+
Each row identifies one sample and records:
|
| 7 |
+
|
| 8 |
+
- `sample_index` — zero-based row index in the corresponding NPZ file
|
| 9 |
+
- `split` — training or testing split
|
| 10 |
+
- `network` — in-situ network or subset; blank for GlobalMask
|
| 11 |
+
- `data_file` — repository path to the corresponding NPZ file
|
| 12 |
+
|
| 13 |
+
The CSV files do not duplicate or flatten the full multidimensional arrays.
|
viewer/global_mask/test.csv
ADDED
|
@@ -0,0 +1,853 @@
|
|
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|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 3 |
+
1,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 4 |
+
2,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 5 |
+
3,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 6 |
+
4,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 7 |
+
5,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 8 |
+
6,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 9 |
+
7,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 10 |
+
8,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 11 |
+
9,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 12 |
+
10,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 13 |
+
11,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 14 |
+
12,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 15 |
+
13,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 16 |
+
14,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 17 |
+
15,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 18 |
+
16,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 19 |
+
17,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 20 |
+
18,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 21 |
+
19,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 22 |
+
20,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 23 |
+
21,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 24 |
+
22,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 25 |
+
23,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 26 |
+
24,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 27 |
+
25,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 28 |
+
26,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 29 |
+
27,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 30 |
+
28,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 31 |
+
29,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 32 |
+
30,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 33 |
+
31,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 34 |
+
32,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 35 |
+
33,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 36 |
+
34,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 37 |
+
35,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 38 |
+
36,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 39 |
+
37,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 40 |
+
38,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 41 |
+
39,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 42 |
+
40,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 43 |
+
41,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 44 |
+
42,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 45 |
+
43,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 46 |
+
44,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 47 |
+
45,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 48 |
+
46,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 49 |
+
47,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 50 |
+
48,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 51 |
+
49,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 52 |
+
50,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 53 |
+
51,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 54 |
+
52,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 55 |
+
53,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 56 |
+
54,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 57 |
+
55,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 58 |
+
56,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 59 |
+
57,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 60 |
+
58,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 61 |
+
59,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 62 |
+
60,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 63 |
+
61,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 64 |
+
62,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 65 |
+
63,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 66 |
+
64,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 67 |
+
65,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 68 |
+
66,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 69 |
+
67,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 70 |
+
68,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 71 |
+
69,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 72 |
+
70,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 73 |
+
71,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 74 |
+
72,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 75 |
+
73,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 76 |
+
74,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 77 |
+
75,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 78 |
+
76,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 79 |
+
77,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 80 |
+
78,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 81 |
+
79,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 82 |
+
80,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 83 |
+
81,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 84 |
+
82,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 85 |
+
83,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 86 |
+
84,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 87 |
+
85,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 88 |
+
86,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 89 |
+
87,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 90 |
+
88,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 91 |
+
89,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 92 |
+
90,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 93 |
+
91,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 94 |
+
92,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 95 |
+
93,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 96 |
+
94,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 97 |
+
95,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 98 |
+
96,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 99 |
+
97,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 100 |
+
98,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 101 |
+
99,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 102 |
+
100,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 103 |
+
101,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 104 |
+
102,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 105 |
+
103,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 106 |
+
104,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 107 |
+
105,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 108 |
+
106,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 109 |
+
107,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 110 |
+
108,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 111 |
+
109,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 112 |
+
110,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 113 |
+
111,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 114 |
+
112,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 115 |
+
113,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 116 |
+
114,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 117 |
+
115,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 118 |
+
116,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 119 |
+
117,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 120 |
+
118,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 121 |
+
119,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 122 |
+
120,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 123 |
+
121,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 124 |
+
122,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 125 |
+
123,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 126 |
+
124,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 127 |
+
125,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 128 |
+
126,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 129 |
+
127,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 130 |
+
128,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 131 |
+
129,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 132 |
+
130,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 133 |
+
131,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 134 |
+
132,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 135 |
+
133,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 136 |
+
134,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 137 |
+
135,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 138 |
+
136,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 139 |
+
137,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 140 |
+
138,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 141 |
+
139,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 142 |
+
140,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 143 |
+
141,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 144 |
+
142,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 145 |
+
143,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 146 |
+
144,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 147 |
+
145,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 148 |
+
146,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 149 |
+
147,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 150 |
+
148,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 151 |
+
149,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 152 |
+
150,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 153 |
+
151,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 154 |
+
152,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 155 |
+
153,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 156 |
+
154,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 157 |
+
155,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 158 |
+
156,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 159 |
+
157,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 160 |
+
158,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 161 |
+
159,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 162 |
+
160,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 163 |
+
161,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 164 |
+
162,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 165 |
+
163,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 166 |
+
164,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 167 |
+
165,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 168 |
+
166,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 169 |
+
167,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 170 |
+
168,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 171 |
+
169,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 172 |
+
170,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 173 |
+
171,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 174 |
+
172,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 175 |
+
173,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 176 |
+
174,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 177 |
+
175,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 178 |
+
176,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 179 |
+
177,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 180 |
+
178,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 181 |
+
179,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 182 |
+
180,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 183 |
+
181,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 184 |
+
182,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 185 |
+
183,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 186 |
+
184,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 187 |
+
185,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 188 |
+
186,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 189 |
+
187,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 190 |
+
188,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 191 |
+
189,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 192 |
+
190,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 193 |
+
191,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 194 |
+
192,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 195 |
+
193,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 196 |
+
194,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 197 |
+
195,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 198 |
+
196,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 199 |
+
197,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 200 |
+
198,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 201 |
+
199,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 202 |
+
200,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 203 |
+
201,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 204 |
+
202,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 205 |
+
203,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 206 |
+
204,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 207 |
+
205,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 208 |
+
206,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 209 |
+
207,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 210 |
+
208,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 211 |
+
209,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 212 |
+
210,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 213 |
+
211,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 214 |
+
212,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 215 |
+
213,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 216 |
+
214,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 217 |
+
215,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 218 |
+
216,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 219 |
+
217,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 220 |
+
218,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 221 |
+
219,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 222 |
+
220,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 223 |
+
221,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 224 |
+
222,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 225 |
+
223,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 226 |
+
224,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 227 |
+
225,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 228 |
+
226,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 229 |
+
227,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 230 |
+
228,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 231 |
+
229,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 232 |
+
230,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 233 |
+
231,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 234 |
+
232,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 235 |
+
233,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 236 |
+
234,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 237 |
+
235,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 238 |
+
236,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 239 |
+
237,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 240 |
+
238,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 241 |
+
239,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 242 |
+
240,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 243 |
+
241,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 244 |
+
242,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 245 |
+
243,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 246 |
+
244,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 247 |
+
245,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 248 |
+
246,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 249 |
+
247,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 250 |
+
248,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 251 |
+
249,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 252 |
+
250,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 253 |
+
251,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 254 |
+
252,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 255 |
+
253,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 256 |
+
254,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 257 |
+
255,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 258 |
+
256,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 259 |
+
257,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 260 |
+
258,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 261 |
+
259,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 262 |
+
260,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 263 |
+
261,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 264 |
+
262,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 265 |
+
263,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 266 |
+
264,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 267 |
+
265,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 268 |
+
266,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 269 |
+
267,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 270 |
+
268,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 271 |
+
269,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 272 |
+
270,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 273 |
+
271,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 274 |
+
272,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 275 |
+
273,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 276 |
+
274,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 277 |
+
275,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 278 |
+
276,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 279 |
+
277,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 280 |
+
278,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 281 |
+
279,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 282 |
+
280,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 283 |
+
281,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 284 |
+
282,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 285 |
+
283,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 286 |
+
284,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 287 |
+
285,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 288 |
+
286,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 289 |
+
287,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 290 |
+
288,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 291 |
+
289,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 292 |
+
290,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 293 |
+
291,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 294 |
+
292,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 295 |
+
293,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 296 |
+
294,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 297 |
+
295,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 298 |
+
296,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 299 |
+
297,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 300 |
+
298,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 301 |
+
299,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 302 |
+
300,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 303 |
+
301,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 304 |
+
302,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 305 |
+
303,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 306 |
+
304,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 307 |
+
305,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 308 |
+
306,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 309 |
+
307,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 310 |
+
308,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 311 |
+
309,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 312 |
+
310,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 313 |
+
311,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 314 |
+
312,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 315 |
+
313,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 316 |
+
314,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 317 |
+
315,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 318 |
+
316,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 319 |
+
317,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 320 |
+
318,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 321 |
+
319,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 322 |
+
320,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 323 |
+
321,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 324 |
+
322,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 325 |
+
323,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 326 |
+
324,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 327 |
+
325,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 328 |
+
326,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 329 |
+
327,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 330 |
+
328,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 331 |
+
329,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 332 |
+
330,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 333 |
+
331,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 334 |
+
332,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 335 |
+
333,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 336 |
+
334,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 337 |
+
335,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 338 |
+
336,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 339 |
+
337,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 340 |
+
338,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 341 |
+
339,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 342 |
+
340,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 343 |
+
341,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 344 |
+
342,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 345 |
+
343,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 346 |
+
344,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 347 |
+
345,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 348 |
+
346,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 349 |
+
347,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 350 |
+
348,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 351 |
+
349,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 352 |
+
350,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 353 |
+
351,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 354 |
+
352,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 355 |
+
353,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 356 |
+
354,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 357 |
+
355,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 358 |
+
356,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 359 |
+
357,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 360 |
+
358,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 361 |
+
359,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 362 |
+
360,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 363 |
+
361,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 364 |
+
362,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 365 |
+
363,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 366 |
+
364,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 367 |
+
365,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 368 |
+
366,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 369 |
+
367,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 370 |
+
368,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 371 |
+
369,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 372 |
+
370,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 373 |
+
371,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 374 |
+
372,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 375 |
+
373,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 376 |
+
374,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 377 |
+
375,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 378 |
+
376,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 379 |
+
377,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 380 |
+
378,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 381 |
+
379,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 382 |
+
380,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 383 |
+
381,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 384 |
+
382,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 385 |
+
383,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 386 |
+
384,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 387 |
+
385,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 388 |
+
386,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 389 |
+
387,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 390 |
+
388,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 391 |
+
389,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 392 |
+
390,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 393 |
+
391,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 394 |
+
392,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 395 |
+
393,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 396 |
+
394,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 397 |
+
395,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 398 |
+
396,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 399 |
+
397,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 400 |
+
398,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 401 |
+
399,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 402 |
+
400,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 403 |
+
401,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 404 |
+
402,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 405 |
+
403,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 406 |
+
404,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 407 |
+
405,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 408 |
+
406,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 409 |
+
407,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 410 |
+
408,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 411 |
+
409,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 412 |
+
410,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 413 |
+
411,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 414 |
+
412,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 415 |
+
413,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 416 |
+
414,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 417 |
+
415,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 418 |
+
416,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 419 |
+
417,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 420 |
+
418,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 421 |
+
419,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 422 |
+
420,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 423 |
+
421,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 424 |
+
422,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 425 |
+
423,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 426 |
+
424,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 427 |
+
425,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 428 |
+
426,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 429 |
+
427,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 430 |
+
428,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 431 |
+
429,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 432 |
+
430,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 433 |
+
431,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 434 |
+
432,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 435 |
+
433,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 436 |
+
434,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 437 |
+
435,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 438 |
+
436,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 439 |
+
437,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 440 |
+
438,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 441 |
+
439,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 442 |
+
440,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 443 |
+
441,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 444 |
+
442,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 445 |
+
443,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 446 |
+
444,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 447 |
+
445,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 448 |
+
446,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 449 |
+
447,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 450 |
+
448,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 451 |
+
449,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 452 |
+
450,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 453 |
+
451,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 454 |
+
452,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 455 |
+
453,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 456 |
+
454,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 457 |
+
455,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 458 |
+
456,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 459 |
+
457,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 460 |
+
458,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 461 |
+
459,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 462 |
+
460,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 463 |
+
461,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 464 |
+
462,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 465 |
+
463,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 466 |
+
464,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 467 |
+
465,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 468 |
+
466,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 469 |
+
467,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 470 |
+
468,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 471 |
+
469,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 472 |
+
470,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 473 |
+
471,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 474 |
+
472,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 475 |
+
473,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 476 |
+
474,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 477 |
+
475,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 478 |
+
476,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 479 |
+
477,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 480 |
+
478,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 481 |
+
479,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 482 |
+
480,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 483 |
+
481,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 484 |
+
482,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 485 |
+
483,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 486 |
+
484,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 487 |
+
485,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 488 |
+
486,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 489 |
+
487,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 490 |
+
488,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 491 |
+
489,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 492 |
+
490,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 493 |
+
491,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 494 |
+
492,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 495 |
+
493,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 496 |
+
494,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 497 |
+
495,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 498 |
+
496,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 499 |
+
497,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 500 |
+
498,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 501 |
+
499,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 502 |
+
500,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 503 |
+
501,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 504 |
+
502,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 505 |
+
503,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 506 |
+
504,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 507 |
+
505,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 508 |
+
506,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 509 |
+
507,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 510 |
+
508,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 511 |
+
509,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 512 |
+
510,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 513 |
+
511,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 514 |
+
512,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 515 |
+
513,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 516 |
+
514,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 517 |
+
515,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 518 |
+
516,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 519 |
+
517,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 520 |
+
518,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 521 |
+
519,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 522 |
+
520,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 523 |
+
521,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 524 |
+
522,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 525 |
+
523,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 526 |
+
524,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 527 |
+
525,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 528 |
+
526,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 529 |
+
527,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 530 |
+
528,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 531 |
+
529,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 532 |
+
530,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 533 |
+
531,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 534 |
+
532,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 535 |
+
533,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 536 |
+
534,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 537 |
+
535,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 538 |
+
536,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 539 |
+
537,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 540 |
+
538,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 541 |
+
539,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 542 |
+
540,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 543 |
+
541,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 544 |
+
542,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 545 |
+
543,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 546 |
+
544,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 547 |
+
545,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 548 |
+
546,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 549 |
+
547,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 550 |
+
548,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 551 |
+
549,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 552 |
+
550,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 553 |
+
551,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 554 |
+
552,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 555 |
+
553,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 556 |
+
554,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 557 |
+
555,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 558 |
+
556,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 559 |
+
557,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 560 |
+
558,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 561 |
+
559,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 562 |
+
560,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 563 |
+
561,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 564 |
+
562,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 565 |
+
563,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 566 |
+
564,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 567 |
+
565,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 568 |
+
566,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 569 |
+
567,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 570 |
+
568,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 571 |
+
569,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 572 |
+
570,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 573 |
+
571,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 574 |
+
572,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 575 |
+
573,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 576 |
+
574,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 577 |
+
575,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 578 |
+
576,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 579 |
+
577,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 580 |
+
578,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 581 |
+
579,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 582 |
+
580,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 583 |
+
581,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 584 |
+
582,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 585 |
+
583,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 586 |
+
584,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 587 |
+
585,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 588 |
+
586,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 589 |
+
587,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 590 |
+
588,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 591 |
+
589,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 592 |
+
590,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 593 |
+
591,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 594 |
+
592,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 595 |
+
593,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 596 |
+
594,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 597 |
+
595,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 598 |
+
596,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 599 |
+
597,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 600 |
+
598,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 601 |
+
599,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 602 |
+
600,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 603 |
+
601,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 604 |
+
602,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 605 |
+
603,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 606 |
+
604,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 607 |
+
605,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 608 |
+
606,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 609 |
+
607,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 610 |
+
608,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 611 |
+
609,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 612 |
+
610,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 613 |
+
611,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 614 |
+
612,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 615 |
+
613,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 616 |
+
614,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 617 |
+
615,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 618 |
+
616,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 619 |
+
617,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 620 |
+
618,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 621 |
+
619,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 622 |
+
620,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 623 |
+
621,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 624 |
+
622,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 625 |
+
623,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 626 |
+
624,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 627 |
+
625,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 628 |
+
626,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 629 |
+
627,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 630 |
+
628,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 631 |
+
629,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 632 |
+
630,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 633 |
+
631,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 634 |
+
632,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 635 |
+
633,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 636 |
+
634,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 637 |
+
635,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 638 |
+
636,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 639 |
+
637,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 640 |
+
638,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 641 |
+
639,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 642 |
+
640,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 643 |
+
641,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 644 |
+
642,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 645 |
+
643,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 646 |
+
644,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 647 |
+
645,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 648 |
+
646,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 649 |
+
647,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 650 |
+
648,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 651 |
+
649,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 652 |
+
650,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 653 |
+
651,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 654 |
+
652,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 655 |
+
653,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 656 |
+
654,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 657 |
+
655,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 658 |
+
656,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 659 |
+
657,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 660 |
+
658,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 661 |
+
659,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 662 |
+
660,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 663 |
+
661,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 664 |
+
662,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 665 |
+
663,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 666 |
+
664,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 667 |
+
665,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 668 |
+
666,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 669 |
+
667,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 670 |
+
668,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 671 |
+
669,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 672 |
+
670,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 673 |
+
671,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 674 |
+
672,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 675 |
+
673,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 676 |
+
674,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 677 |
+
675,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 678 |
+
676,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 679 |
+
677,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 680 |
+
678,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 681 |
+
679,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 682 |
+
680,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 683 |
+
681,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 684 |
+
682,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 685 |
+
683,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 686 |
+
684,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 687 |
+
685,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 688 |
+
686,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 689 |
+
687,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 690 |
+
688,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 691 |
+
689,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 692 |
+
690,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 693 |
+
691,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 694 |
+
692,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 695 |
+
693,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 696 |
+
694,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 697 |
+
695,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 698 |
+
696,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 699 |
+
697,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 700 |
+
698,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 701 |
+
699,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 702 |
+
700,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 703 |
+
701,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 704 |
+
702,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 705 |
+
703,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 706 |
+
704,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 707 |
+
705,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 708 |
+
706,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 709 |
+
707,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 710 |
+
708,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 711 |
+
709,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 712 |
+
710,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 713 |
+
711,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 714 |
+
712,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 715 |
+
713,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 716 |
+
714,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 717 |
+
715,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 718 |
+
716,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 719 |
+
717,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 720 |
+
718,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 721 |
+
719,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 722 |
+
720,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 723 |
+
721,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 724 |
+
722,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 725 |
+
723,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 726 |
+
724,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 727 |
+
725,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 728 |
+
726,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 729 |
+
727,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 730 |
+
728,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 731 |
+
729,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 732 |
+
730,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 733 |
+
731,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 734 |
+
732,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 735 |
+
733,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 736 |
+
734,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 737 |
+
735,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 738 |
+
736,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 739 |
+
737,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 740 |
+
738,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 741 |
+
739,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 742 |
+
740,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 743 |
+
741,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 744 |
+
742,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 745 |
+
743,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 746 |
+
744,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 747 |
+
745,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 748 |
+
746,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 749 |
+
747,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 750 |
+
748,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 751 |
+
749,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 752 |
+
750,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 753 |
+
751,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 754 |
+
752,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 755 |
+
753,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 756 |
+
754,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 757 |
+
755,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 758 |
+
756,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 759 |
+
757,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 760 |
+
758,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 761 |
+
759,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 762 |
+
760,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 763 |
+
761,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 764 |
+
762,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 765 |
+
763,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 766 |
+
764,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 767 |
+
765,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 768 |
+
766,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 769 |
+
767,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 770 |
+
768,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 771 |
+
769,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 772 |
+
770,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 773 |
+
771,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 774 |
+
772,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 775 |
+
773,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 776 |
+
774,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 777 |
+
775,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 778 |
+
776,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 779 |
+
777,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 780 |
+
778,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 781 |
+
779,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 782 |
+
780,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 783 |
+
781,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 784 |
+
782,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 785 |
+
783,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 786 |
+
784,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 787 |
+
785,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 788 |
+
786,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 789 |
+
787,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 790 |
+
788,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 791 |
+
789,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 792 |
+
790,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 793 |
+
791,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 794 |
+
792,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 795 |
+
793,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 796 |
+
794,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 797 |
+
795,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 798 |
+
796,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 799 |
+
797,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 800 |
+
798,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 801 |
+
799,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 802 |
+
800,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 803 |
+
801,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 804 |
+
802,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 805 |
+
803,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 806 |
+
804,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 807 |
+
805,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 808 |
+
806,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 809 |
+
807,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 810 |
+
808,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 811 |
+
809,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 812 |
+
810,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 813 |
+
811,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 814 |
+
812,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 815 |
+
813,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 816 |
+
814,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 817 |
+
815,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 818 |
+
816,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 819 |
+
817,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 820 |
+
818,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 821 |
+
819,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 822 |
+
820,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 823 |
+
821,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 824 |
+
822,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 825 |
+
823,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 826 |
+
824,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 827 |
+
825,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 828 |
+
826,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 829 |
+
827,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 830 |
+
828,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 831 |
+
829,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 832 |
+
830,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 833 |
+
831,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 834 |
+
832,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 835 |
+
833,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 836 |
+
834,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 837 |
+
835,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 838 |
+
836,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 839 |
+
837,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 840 |
+
838,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 841 |
+
839,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 842 |
+
840,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 843 |
+
841,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 844 |
+
842,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 845 |
+
843,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 846 |
+
844,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 847 |
+
845,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 848 |
+
846,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 849 |
+
847,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 850 |
+
848,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 851 |
+
849,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 852 |
+
850,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
| 853 |
+
851,test,,GlobalMask/test/globalmask_testing_dataset.npz
|
viewer/global_mask/train.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
viewer/insitu_matched/above/test.csv
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 3 |
+
1,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 4 |
+
2,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 5 |
+
3,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 6 |
+
4,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 7 |
+
5,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 8 |
+
6,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 9 |
+
7,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 10 |
+
8,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 11 |
+
9,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 12 |
+
10,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
| 13 |
+
11,test,above,InSituMatched/above/test/InSituMatched_above_test.npz
|
viewer/insitu_matched/above/train.csv
ADDED
|
@@ -0,0 +1,49 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 3 |
+
1,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 4 |
+
2,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 5 |
+
3,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 6 |
+
4,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 7 |
+
5,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 8 |
+
6,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 9 |
+
7,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 10 |
+
8,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 11 |
+
9,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 12 |
+
10,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 13 |
+
11,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 14 |
+
12,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 15 |
+
13,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 16 |
+
14,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 17 |
+
15,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 18 |
+
16,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 19 |
+
17,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 20 |
+
18,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 21 |
+
19,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 22 |
+
20,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 23 |
+
21,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 24 |
+
22,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 25 |
+
23,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 26 |
+
24,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 27 |
+
25,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 28 |
+
26,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 29 |
+
27,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 30 |
+
28,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 31 |
+
29,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 32 |
+
30,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 33 |
+
31,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 34 |
+
32,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 35 |
+
33,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 36 |
+
34,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 37 |
+
35,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 38 |
+
36,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 39 |
+
37,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 40 |
+
38,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 41 |
+
39,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 42 |
+
40,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 43 |
+
41,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 44 |
+
42,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 45 |
+
43,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 46 |
+
44,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 47 |
+
45,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 48 |
+
46,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
| 49 |
+
47,train,above,InSituMatched/above/train/InSituMatched_above_train.npz
|
viewer/insitu_matched/ameriflux/test.csv
ADDED
|
@@ -0,0 +1,19 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 3 |
+
1,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 4 |
+
2,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 5 |
+
3,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 6 |
+
4,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 7 |
+
5,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 8 |
+
6,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 9 |
+
7,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 10 |
+
8,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 11 |
+
9,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 12 |
+
10,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 13 |
+
11,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 14 |
+
12,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 15 |
+
13,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 16 |
+
14,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 17 |
+
15,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 18 |
+
16,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
| 19 |
+
17,test,ameriflux,InSituMatched/ameriflux/test/InSituMatched_ameriflux_test.npz
|
viewer/insitu_matched/ameriflux/train.csv
ADDED
|
@@ -0,0 +1,68 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 3 |
+
1,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 4 |
+
2,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 5 |
+
3,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 6 |
+
4,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 7 |
+
5,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 8 |
+
6,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 9 |
+
7,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 10 |
+
8,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 11 |
+
9,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 12 |
+
10,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 13 |
+
11,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 14 |
+
12,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 15 |
+
13,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 16 |
+
14,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 17 |
+
15,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 18 |
+
16,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 19 |
+
17,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 20 |
+
18,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 21 |
+
19,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 22 |
+
20,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 23 |
+
21,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 24 |
+
22,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 25 |
+
23,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 26 |
+
24,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 27 |
+
25,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 28 |
+
26,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 29 |
+
27,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 30 |
+
28,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 31 |
+
29,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 32 |
+
30,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 33 |
+
31,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 34 |
+
32,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 35 |
+
33,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 36 |
+
34,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 37 |
+
35,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 38 |
+
36,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 39 |
+
37,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 40 |
+
38,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 41 |
+
39,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 42 |
+
40,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 43 |
+
41,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 44 |
+
42,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 45 |
+
43,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 46 |
+
44,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 47 |
+
45,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 48 |
+
46,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 49 |
+
47,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 50 |
+
48,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 51 |
+
49,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 52 |
+
50,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 53 |
+
51,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 54 |
+
52,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 55 |
+
53,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 56 |
+
54,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 57 |
+
55,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 58 |
+
56,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 59 |
+
57,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 60 |
+
58,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 61 |
+
59,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 62 |
+
60,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 63 |
+
61,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 64 |
+
62,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 65 |
+
63,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 66 |
+
64,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 67 |
+
65,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
| 68 |
+
66,train,ameriflux,InSituMatched/ameriflux/train/InSituMatched_ameriflux_train.npz
|
viewer/insitu_matched/fluxnet/test.csv
ADDED
|
@@ -0,0 +1,17 @@
|
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|
|
|
|
|
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|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 3 |
+
1,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 4 |
+
2,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 5 |
+
3,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 6 |
+
4,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 7 |
+
5,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 8 |
+
6,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 9 |
+
7,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 10 |
+
8,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 11 |
+
9,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 12 |
+
10,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 13 |
+
11,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 14 |
+
12,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 15 |
+
13,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 16 |
+
14,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
| 17 |
+
15,test,fluxnet,InSituMatched/fluxnet/test/InSituMatched_fluxnet_test.npz
|
viewer/insitu_matched/fluxnet/train.csv
ADDED
|
@@ -0,0 +1,69 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
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|
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|
|
|
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|
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 3 |
+
1,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 4 |
+
2,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 5 |
+
3,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 6 |
+
4,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 7 |
+
5,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 8 |
+
6,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 9 |
+
7,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 10 |
+
8,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 11 |
+
9,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 12 |
+
10,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 13 |
+
11,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 14 |
+
12,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 15 |
+
13,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 16 |
+
14,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 17 |
+
15,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 18 |
+
16,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 19 |
+
17,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 20 |
+
18,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 21 |
+
19,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 22 |
+
20,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 23 |
+
21,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 24 |
+
22,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 25 |
+
23,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 26 |
+
24,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 27 |
+
25,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 28 |
+
26,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 29 |
+
27,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 30 |
+
28,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 31 |
+
29,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 32 |
+
30,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 33 |
+
31,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 34 |
+
32,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 35 |
+
33,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 36 |
+
34,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 37 |
+
35,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 38 |
+
36,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 39 |
+
37,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 40 |
+
38,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 41 |
+
39,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 42 |
+
40,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 43 |
+
41,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 44 |
+
42,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 45 |
+
43,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 46 |
+
44,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 47 |
+
45,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 48 |
+
46,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 49 |
+
47,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 50 |
+
48,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 51 |
+
49,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 52 |
+
50,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 53 |
+
51,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 54 |
+
52,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 55 |
+
53,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 56 |
+
54,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 57 |
+
55,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 58 |
+
56,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 59 |
+
57,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 60 |
+
58,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 61 |
+
59,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 62 |
+
60,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 63 |
+
61,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 64 |
+
62,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 65 |
+
63,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 66 |
+
64,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 67 |
+
65,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 68 |
+
66,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
| 69 |
+
67,train,fluxnet,InSituMatched/fluxnet/train/InSituMatched_fluxnet_train.npz
|
viewer/insitu_matched/icos_ww/test.csv
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,test,icos_ww,InSituMatched/icos-ww/test/InSituMatched_icos-ww_test.npz
|
| 3 |
+
1,test,icos_ww,InSituMatched/icos-ww/test/InSituMatched_icos-ww_test.npz
|
| 4 |
+
2,test,icos_ww,InSituMatched/icos-ww/test/InSituMatched_icos-ww_test.npz
|
| 5 |
+
3,test,icos_ww,InSituMatched/icos-ww/test/InSituMatched_icos-ww_test.npz
|
viewer/insitu_matched/icos_ww/train.csv
ADDED
|
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 3 |
+
1,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 4 |
+
2,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 5 |
+
3,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 6 |
+
4,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 7 |
+
5,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 8 |
+
6,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 9 |
+
7,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
| 10 |
+
8,train,icos_ww,InSituMatched/icos-ww/train/InSituMatched_icos-ww_train.npz
|
viewer/insitu_matched/mix/test.csv
ADDED
|
@@ -0,0 +1,17 @@
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|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 3 |
+
1,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 4 |
+
2,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 5 |
+
3,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 6 |
+
4,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 7 |
+
5,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 8 |
+
6,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 9 |
+
7,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 10 |
+
8,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 11 |
+
9,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 12 |
+
10,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 13 |
+
11,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 14 |
+
12,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 15 |
+
13,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 16 |
+
14,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
| 17 |
+
15,test,mix,InSituMatched/mix/test/InSituMatched_mix_test.npz
|
viewer/insitu_matched/mix/train.csv
ADDED
|
@@ -0,0 +1,59 @@
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|
| 1 |
+
sample_index,split,network,data_file
|
| 2 |
+
0,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 3 |
+
1,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 4 |
+
2,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 5 |
+
3,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 6 |
+
4,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 7 |
+
5,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 8 |
+
6,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 9 |
+
7,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 10 |
+
8,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 11 |
+
9,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 12 |
+
10,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 13 |
+
11,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 14 |
+
12,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 15 |
+
13,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 16 |
+
14,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 17 |
+
15,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 18 |
+
16,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 19 |
+
17,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 20 |
+
18,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 21 |
+
19,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 22 |
+
20,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 23 |
+
21,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 24 |
+
22,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 25 |
+
23,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 26 |
+
24,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 27 |
+
25,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 28 |
+
26,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 29 |
+
27,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 30 |
+
28,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 31 |
+
29,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 32 |
+
30,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 33 |
+
31,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 34 |
+
32,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 35 |
+
33,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 36 |
+
34,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 37 |
+
35,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 38 |
+
36,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 39 |
+
37,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 40 |
+
38,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 41 |
+
39,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 42 |
+
40,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 43 |
+
41,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 44 |
+
42,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 45 |
+
43,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 46 |
+
44,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 47 |
+
45,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 48 |
+
46,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 49 |
+
47,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 50 |
+
48,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 51 |
+
49,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 52 |
+
50,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 53 |
+
51,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 54 |
+
52,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 55 |
+
53,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 56 |
+
54,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 57 |
+
55,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 58 |
+
56,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|
| 59 |
+
57,train,mix,InSituMatched/mix/train/InSituMatched_mix_train.npz
|