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Add nldas2 and 3 collection and discovery config (#157)
* Add nldas2 and 3 collection and discovery config * Fix provider name and url * Add newline
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‎ingestion-data/staging/collections/nldas2.json

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{
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"id": "nldas2",
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"type": "Collection",
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"title": "NLDAS2 precipitation",
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"links": [],
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"description": "NLDAS-2 provides a fine-scale (1 km) meteorological forcing (precipitation) in both retrospective and near real-time over North and Central America, including Alaska, Hawaii, and Puerto Rico, by leveraging high-quality gauge, satellite, and model datasets through advanced data assimilation methods. Read more: https://ldas.gsfc.nasa.gov/nldas/v2",
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"extent": {
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"spatial": {
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"bbox": [
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[
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-41.2,
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-82.6,
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9.8,
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-59
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]
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]
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},
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"temporal": {
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"interval": [
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[
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"2001-01-01T00:00:00Z",
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"2023-06-01T00:00:00Z"
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]
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]
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}
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},
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"license": "MIT",
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"stac_extensions": [
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"https://stac-extensions.github.io/render/v1.0.0/schema.json",
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"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"
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],
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"item_assets": {
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"cog_default": {
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"type": "image/tiff; application=geotiff; profile=cloud-optimized",
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"roles": [
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"data",
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"layer"
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],
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"title": "Default COG Layer",
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"description": "Cloud optimized default layer to display on map"
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}
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},
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"dashboard:is_periodic": false,
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"dashboard:time_density": "month",
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"stac_version": "1.0.0",
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"renders": {
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"dashboard": {
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"colormap": {
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"1": [
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120,
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120,
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120
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],
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"2": [
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130,
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65,
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0
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],
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"3": [
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66,
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207,
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56
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],
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"4": [
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245,
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239,
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0
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],
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"5": [
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89,
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32
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],
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"6": [
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0
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],
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"7": [
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0,
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201
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]
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},
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"bidx": [
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1
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],
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"unscale": false,
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"resampling": "nearest",
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"max_size": 1024,
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"return_mask": true,
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"assets": [
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"cog_default"
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],
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"title": "VEDA Dashboard Render Parameters"
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}
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},
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"providers": [
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{
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"name": "NLDAS",
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"url": "https://ldas.gsfc.nasa.gov/nldas",
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"roles": [
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"producer",
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"processor",
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"licensor"
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]
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},
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{
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"name": "NASA VEDA",
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"url": "https://www.earthdata.nasa.gov/dashboard/",
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"roles": [
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"host"
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]
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}
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]
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}

‎ingestion-data/staging/collections/nldas3.json

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{
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"id": "nldas3",
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"type": "Collection",
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"title": "NLDAS3 precipitation",
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"links": [],
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"description": "NLDAS-3 provides a fine-scale (1 km) meteorological forcing (precipitation) in both retrospective and near real-time over North and Central America, including Alaska, Hawaii, and Puerto Rico, by leveraging high-quality gauge, satellite, and model datasets through advanced data assimilation methods. Read more: https://ldas.gsfc.nasa.gov/nldas/v3",
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"extent": {
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"spatial": {
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"bbox": [
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[
11+
-41.2,
12+
-82.6,
13+
9.8,
14+
-59
15+
]
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]
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},
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"temporal": {
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"interval": [
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[
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"2001-01-01T00:00:00Z",
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"2023-06-01T00:00:00Z"
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]
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]
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}
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},
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"license": "MIT",
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"stac_extensions": [
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"https://stac-extensions.github.io/render/v1.0.0/schema.json",
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"https://stac-extensions.github.io/item-assets/v1.0.0/schema.json"
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],
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"item_assets": {
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"cog_default": {
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"type": "image/tiff; application=geotiff; profile=cloud-optimized",
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"roles": [
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"data",
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"layer"
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],
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"title": "Default COG Layer",
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"description": "Cloud optimized default layer to display on map"
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}
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},
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"dashboard:is_periodic": false,
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"dashboard:time_density": "month",
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"stac_version": "1.0.0",
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"renders": {
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"dashboard": {
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"colormap": {
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"1": [
50+
120,
51+
120,
52+
120
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],
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"2": [
55+
130,
56+
65,
57+
0
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],
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"3": [
60+
66,
61+
207,
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56
63+
],
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"4": [
65+
245,
66+
239,
67+
0
68+
],
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"5": [
70+
241,
71+
89,
72+
32
73+
],
74+
"6": [
75+
168,
76+
0,
77+
0
78+
],
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"7": [
80+
0,
81+
143,
82+
201
83+
]
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},
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"bidx": [
86+
1
87+
],
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"unscale": false,
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"resampling": "nearest",
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"max_size": 1024,
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"return_mask": true,
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"assets": [
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"cog_default"
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],
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"title": "VEDA Dashboard Render Parameters"
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}
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},
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"providers": [
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{
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"name": "NLDAS",
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"url": "https://ldas.gsfc.nasa.gov/nldas",
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"roles": [
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"producer",
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"processor",
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"licensor"
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]
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},
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{
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"name": "NASA VEDA",
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"url": "https://www.earthdata.nasa.gov/dashboard/",
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"roles": [
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"host"
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]
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}
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]
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}

‎ingestion-data/staging/discovery-items/nldas2.json

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{
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"collection": "nldas2",
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"prefix": "EIS/nldas2monthly/",
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"bucket": "veda-data-store-staging",
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"filename_regex": ".*_\\d{6}.tif$",
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"discovery": "s3",
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"datetime_range": "month"
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}

‎ingestion-data/staging/discovery-items/nldas3.json

+8
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{
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"collection": "nldas3",
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"prefix": "EIS/nldas3monthly/",
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"bucket": "veda-data-store-staging",
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"filename_regex": ".*_\\d{6}.tif$",
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"discovery": "s3",
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"datetime_range": "month"
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}

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