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clear methaneset-bank before uploading the v3 bank

Browse files
methaneset-bank/.tacocat/COLLECTION.json DELETED
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- {
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- "id": "methane-plume-bank",
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- "dataset_version": "2.0.0",
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- "description": "Synthetic methane plume bank generated from WRF-LES 4.7.0 atmospheric simulations (Gorro\u00f1o et al., Zenodo doi:10.5281/zenodo.18161182). Contains 1,064,448 \u0394XCH4 maps [mol/mol] at 20m resolution spanning 11 wind speeds, 12 wind directions, 9 multisource and 5 areasource plume geometries, 3 temporal snapshots, 8 Solar Zenith Angles, and 24 Solar Azimuth Angles. All plumes are normalized to a reference emission rate of 3000 kg/h and scale linearly. Intended for synthetic data augmentation in satellite-based methane plume detection models.",
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- "licenses": [
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- "CC-BY-4.0"
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- ],
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- "providers": [
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- {
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- "name": "Image and Signal Processing Group (ISP-UV)",
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- "tasks": [
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- "regression",
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- "segmentation"
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- "taco_version": "0.5.0",
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- "title": "MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations",
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- "curators": [
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- {
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- "name": "Cesar Aybar",
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- "organization": "Image and Signal Processing Group, University of Valencia",
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- "email": "csaybar@uv.es",
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- "role": null
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- }
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- ],
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- "keywords": [
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- "methane",
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- "plume-detection",
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- "synthetic-data",
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- "WRF-LES",
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- "Sentinel-2",
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- "Landsat",
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- "EMIT",
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- "remote-sensing",
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- "earth-observation",
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- "data-augmentation",
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- "greenhouse-gas"
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- {
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- "doi": "10.5281/zenodo.18161182",
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- "citation": "Gorro\u00f1o, J., Pei, Z., & Guanter, L. (2025). Benchmark simulations for methane emissions validation and sensitivity studies. Zenodo.",
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- "summary": "Source WRF-LES simulations used to generate the plume bank."
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- },
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- {
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- "doi": "10.5194/egusphere-2025-4924",
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- "citation": "Gorro\u00f1o, J., et al. (2025). Considering the observation and illumination angular configuration for improved methane detection. EGUsphere.",
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- "summary": "Describes the parallax correction methodology applied during projection."
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- "simulation:wind_speed",
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- "Wind direction [degrees, 0=North]"
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- "Plume identifier (multi: 1-9, area: 1-5)"
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- "Solar Zenith Angle [degrees]"
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- "Solar Azimuth Angle [degrees, 0=North]"
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- [
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- "simulation:q_ref",
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- "float",
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- "Reference emission rate [kg/h] \u2014 scale linearly for other rates"
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- "internal:current_id",
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- "int64",
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- "Current sample position at this level (0-indexed). Enables O(1) random access and relational JOINs (ZIP, FOLDER, TACOCAT)."
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- "methane-plume-bank",
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- "methane-plume-bank",
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- "methane-plume-bank",
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- "methane-plume-bank",
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- "methane-plume-bank",
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- "methane-plume-bank",
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- "methane-plume-bank",
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- "methane-plume-bank"
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- "methane_plume_bank_v2_part0001.tacozip",
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- "methane_plume_bank_v2_part0002.tacozip",
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methaneset-bank/README.md DELETED
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-
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- # MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations
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-
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- Synthetic methane plume bank generated from WRF-LES 4.7.0 atmospheric simulations (Gorroño et al., Zenodo doi:10.5281/zenodo.18161182). Contains 1,064,448 ΔXCH4 maps [mol/mol] at 20m resolution spanning 11 wind speeds, 12 wind directions, 9 multisource and 5 areasource plume geometries, 3 temporal snapshots, 8 Solar Zenith Angles, and 24 Solar Azimuth Angles. All plumes are normalized to a reference emission rate of 3000 kg/h and scale linearly. Intended for synthetic data augmentation in satellite-based methane plume detection models.
5
- ## Dataset Information
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-
7
- **Version**: 2.0.0
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-
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- **License**: CC-BY-4.0
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-
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- **Keywords**: methane, plume-detection, synthetic-data, WRF-LES, Sentinel-2, Landsat, EMIT, remote-sensing, earth-observation, data-augmentation, greenhouse-gas
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-
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- **Tasks**: regression, segmentation
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-
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- ## Dataset Overview
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-
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- **Partitions**: 8 files
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- **Spatial coverage**: [-180.00, -90.00, 180.00, 90.00] (WGS84)
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-
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- ## Dataset Structure (Root-Sibling Uniform Tree)
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-
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- **Root**: FILE (1,064,448 samples)
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-
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-
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- ## Metadata Fields
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-
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- ### LEVEL0
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-
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- | Field | Type | Description |
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- |-------|------|-------------|
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- | `id` | `string` | Unique sample identifier within parent scope. Must be unique among siblings. |
32
- | `type` | `string` | Sample type discriminator (FILE or FOLDER). |
33
- | `simulation:source_type` | `string` | Simulation type: 'multi' (point sources) or 'area' (distributed) |
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- | `simulation:wind_speed` | `float` | Geostrophic wind speed [m/s] |
35
- | `simulation:wind_dir` | `int16` | Wind direction [degrees, 0=North] |
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- | `simulation:plume_id` | `int8` | Plume identifier (multi: 1-9, area: 1-5) |
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- | `simulation:snapshot` | `int16` | WRF-LES snapshot index (70, 90, or 110) |
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- | `simulation:sza` | `int8` | Solar Zenith Angle [degrees] |
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- | `simulation:saa` | `int16` | Solar Azimuth Angle [degrees, 0=North] |
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- | `simulation:q_ref` | `float` | Reference emission rate [kg/h] — scale linearly for other rates |
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- | `internal:current_id` | `int64` | Current sample position at this level (0-indexed). Enables O(1) random access and relational JOINs (ZIP, FOLDER, TACOCAT). |
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- | `internal:parent_id` | `int64` | Foreign key referencing parent sample position in previous level (ZIP, FOLDER, TACOCAT). |
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-
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-
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- ## Usage
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-
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- ### Python
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-
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- ```python
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- # pip install tacoreader
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- import tacoreader
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-
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- ds = tacoreader.load("methane-plume-bank.tacozip")
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- print(f"ID: {ds.id}")
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- print(f"Version: {ds.version}")
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- print(f"Samples: {len(ds.data)}")
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- ```
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-
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- ### R
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-
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- ```r
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- # Coming soon: R support is planned but not yet available
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- # install.packages("tacoreader")
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- library(tacoreader)
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-
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- ds <- load_taco("methane-plume-bank.tacozip")
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- cat(sprintf("ID: %s\n", ds$id))
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- cat(sprintf("Version: %s\n", ds$version))
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- cat(sprintf("Samples: %d\n", nrow(ds$data)))
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- ```
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-
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- ### Julia
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-
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- ```julia
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- # Coming soon: Julia support is planned but not yet available
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- # using Pkg; Pkg.add("TacoReader")
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- using TacoReader
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-
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- ds = load_taco("methane-plume-bank.tacozip")
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- println("ID: ", ds.id)
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- println("Version: ", ds.version)
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- println("Samples: ", size(ds.data, 1))
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- ```
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-
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- ## Data Providers
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-
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- **Image and Signal Processing Group (ISP-UV)** — *producer*
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-
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- **LARS-UPV** — *producer*
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-
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-
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- ## Dataset Curators
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-
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- | Name | Organization | Email |
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- |------|--------------|-------|
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- | Cesar Aybar | Image and Signal Processing Group, University of Valencia | csaybar@uv.es |
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-
98
- ## Publications & Citations
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-
100
- If you use this dataset in your research, please cite:
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-
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-
103
- **DOI**: 10.5281/zenodo.18161182
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-
105
- Gorroño, J., Pei, Z., &amp; Guanter, L. (2025). Benchmark simulations for methane emissions validation and sensitivity studies. Zenodo.
106
-
107
- *Source WRF-LES simulations used to generate the plume bank.*
108
-
109
- ---
110
-
111
- **DOI**: 10.5194/egusphere-2025-4924
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-
113
- Gorroño, J., et al. (2025). Considering the observation and illumination angular configuration for improved methane detection. EGUsphere.
114
-
115
- *Describes the parallax correction methodology applied during projection.*
116
-
117
- ---
118
-
119
- ### BibTeX
120
-
121
- ```bibtex
122
- @dataset{methane-plume-bank2,
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- title = {MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations},
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- author = {Cesar Aybar},
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- year = {2024},
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- version = {2.0.0},
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- publisher = {Image and Signal Processing Group, University of Valencia}
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- }
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- ```
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-
131
- ---
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-
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- Generated with ❤️ using [TacoToolbox](https://github.com/tacotoolbox/tacotoolbox) v0.26.9
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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