Datasets:
clear methaneset-bank before uploading the v3 bank
Browse files- methaneset-bank/.tacocat/COLLECTION.json +0 -253
- methaneset-bank/.tacocat/level0.parquet +0 -3
- methaneset-bank/README.md +0 -133
- methaneset-bank/index.html +0 -0
- methaneset-bank/methane_plume_bank_v2_part0001.tacozip +0 -3
- methaneset-bank/methane_plume_bank_v2_part0002.tacozip +0 -3
- methaneset-bank/methane_plume_bank_v2_part0003.tacozip +0 -3
- methaneset-bank/methane_plume_bank_v2_part0004.tacozip +0 -3
- methaneset-bank/methane_plume_bank_v2_part0005.tacozip +0 -3
- methaneset-bank/methane_plume_bank_v2_part0006.tacozip +0 -3
- methaneset-bank/methane_plume_bank_v2_part0007.tacozip +0 -3
- methaneset-bank/methane_plume_bank_v2_part0008.tacozip +0 -3
methaneset-bank/.tacocat/COLLECTION.json
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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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| 8 |
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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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"roles": [
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"producer"
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],
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"url": null,
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"links": null
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},
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{
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"name": "LARS-UPV",
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| 19 |
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"roles": [
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"producer"
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| 21 |
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],
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"url": null,
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"links": null
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}
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],
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"tasks": [
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"regression",
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| 28 |
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"segmentation"
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],
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| 30 |
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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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"extent": {
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"spatial": [
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-180.0,
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-90.0,
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180.0,
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90.0
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],
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"temporal": null
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},
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"publications": [
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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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}
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],
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"taco:pit_schema": {
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"root": {
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"n": 1064448,
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"type": "FILE"
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},
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"shape": [
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145959
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],
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"hierarchy": {}
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},
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"taco:field_schema": {
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"level0": [
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[
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"id",
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"string",
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"Unique sample identifier within parent scope. Must be unique among siblings."
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],
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[
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"type",
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"string",
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"Sample type discriminator (FILE or FOLDER)."
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],
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[
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"simulation:source_type",
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"string",
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"Simulation type: 'multi' (point sources) or 'area' (distributed)"
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],
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[
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"simulation:wind_speed",
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"float",
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"Geostrophic wind speed [m/s]"
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],
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[
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"simulation:wind_dir",
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"int16",
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"Wind direction [degrees, 0=North]"
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],
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[
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"simulation:plume_id",
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"int8",
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"Plume identifier (multi: 1-9, area: 1-5)"
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],
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[
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"simulation:snapshot",
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"int16",
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"WRF-LES snapshot index (70, 90, or 110)"
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],
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[
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"simulation:sza",
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"int8",
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"Solar Zenith Angle [degrees]"
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],
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[
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"simulation:saa",
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"int16",
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"Solar Azimuth Angle [degrees, 0=North]"
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],
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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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],
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[
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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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],
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[
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"internal:parent_id",
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"int64",
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"Foreign key referencing parent sample position in previous level (ZIP, FOLDER, TACOCAT)."
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]
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]
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},
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"taco:sources": {
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"count": 8,
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"ids": [
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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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],
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"files": [
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"methane_plume_bank_v2_part0001.tacozip",
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"methane_plume_bank_v2_part0002.tacozip",
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"methane_plume_bank_v2_part0003.tacozip",
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"methane_plume_bank_v2_part0004.tacozip",
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"methane_plume_bank_v2_part0005.tacozip",
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"methane_plume_bank_v2_part0006.tacozip",
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"methane_plume_bank_v2_part0007.tacozip",
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"methane_plume_bank_v2_part0008.tacozip"
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],
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"extents": [
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{
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"file": "methane_plume_bank_v2_part0001.tacozip",
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"id": "methane-plume-bank",
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"spatial": [
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-180.0,
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-90.0,
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180.0,
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90.0
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]
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},
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{
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"file": "methane_plume_bank_v2_part0002.tacozip",
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"id": "methane-plume-bank",
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"spatial": [
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-90.0,
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90.0
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]
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},
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{
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"file": "methane_plume_bank_v2_part0003.tacozip",
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"id": "methane-plume-bank",
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"spatial": [
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]
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},
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{
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"file": "methane_plume_bank_v2_part0004.tacozip",
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"id": "methane-plume-bank",
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"spatial": [
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},
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{
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"file": "methane_plume_bank_v2_part0005.tacozip",
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"id": "methane-plume-bank",
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"spatial": [
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]
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},
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{
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"file": "methane_plume_bank_v2_part0006.tacozip",
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| 223 |
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"id": "methane-plume-bank",
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| 224 |
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"spatial": [
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| 225 |
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| 229 |
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]
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},
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{
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"file": "methane_plume_bank_v2_part0007.tacozip",
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| 233 |
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"id": "methane-plume-bank",
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| 234 |
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"spatial": [
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-180.0,
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-90.0,
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180.0,
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90.0
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]
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},
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{
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"file": "methane_plume_bank_v2_part0008.tacozip",
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| 243 |
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"id": "methane-plume-bank",
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| 244 |
-
"spatial": [
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| 245 |
-
-180.0,
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| 246 |
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-90.0,
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| 247 |
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180.0,
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| 248 |
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90.0
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]
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]
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}
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}
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methaneset-bank/.tacocat/level0.parquet
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@@ -1,3 +0,0 @@
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version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:98bb7fcaa09d4e95698d7c340677946d38a53e7f819c77d85c4ee7c20dfd2fd9
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| 3 |
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size 21653118
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methaneset-bank/README.md
DELETED
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@@ -1,133 +0,0 @@
|
|
| 1 |
-
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| 2 |
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# MethanePlumeBank: Synthetic Methane Plume Bank from WRF-LES Simulations
|
| 3 |
-
|
| 4 |
-
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 |
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## Dataset Information
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**Version**: 2.0.0
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**License**: CC-BY-4.0
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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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**Tasks**: regression, segmentation
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## Dataset Overview
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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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## Dataset Structure (Root-Sibling Uniform Tree)
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**Root**: FILE (1,064,448 samples)
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## Metadata Fields
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### LEVEL0
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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. |
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| `type` | `string` | Sample type discriminator (FILE or FOLDER). |
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| `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] |
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| `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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## Usage
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### Python
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```python
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# pip install tacoreader
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import tacoreader
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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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### R
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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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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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### Julia
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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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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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## Data Providers
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**Image and Signal Processing Group (ISP-UV)** — *producer*
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**LARS-UPV** — *producer*
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## Dataset Curators
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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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## Publications & Citations
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If you use this dataset in your research, please cite:
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**DOI**: 10.5281/zenodo.18161182
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Gorroño, J., Pei, Z., & Guanter, L. (2025). Benchmark simulations for methane emissions validation and sensitivity studies. Zenodo.
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*Source WRF-LES simulations used to generate the plume bank.*
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---
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**DOI**: 10.5194/egusphere-2025-4924
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Gorroño, J., et al. (2025). Considering the observation and illumination angular configuration for improved methane detection. EGUsphere.
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*Describes the parallax correction methodology applied during projection.*
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---
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### BibTeX
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```bibtex
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@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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---
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Generated with ❤️ using [TacoToolbox](https://github.com/tacotoolbox/tacotoolbox) v0.26.9
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methaneset-bank/index.html
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