cloud_regions_metadata
15 rows where grid-carbon-intensity-average-consumption-annual = ""
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Suggested facets: year, cloud-provider, cloud-region, cfe-region, em-zone-id, wt-region-id, location, geolocation, provider-cfe-hourly, provider-cfe-annual, power-usage-effectiveness, water-usage-effectiveness, provider-carbon-intensity-market-annual, provider-carbon-intensity-average-consumption-hourly, grid-carbon-intensity-marginal-consumption-annual, grid-carbon-intensity
| Link | rowid ▼ | year | cloud-provider | cloud-region | cfe-region | em-zone-id | wt-region-id | location | geolocation | provider-cfe-hourly | provider-cfe-annual | power-usage-effectiveness | water-usage-effectiveness | provider-carbon-intensity-market-annual | provider-carbon-intensity-average-consumption-hourly | grid-carbon-intensity-average-consumption-annual | grid-carbon-intensity-marginal-consumption-annual | grid-carbon-intensity-average-production-annual | grid-carbon-intensity | total-ICT-energy-consumption-annual | total-water-input | renewable-energy-consumption | renewable-energy-consumption-goe | renewable-energy-consumption-ppa | renewable-energy-consumption-onsite |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 25 | 2023 | Google Cloud | me-central2 | Saudi Arabia | SA | Damman | 0.0 | 569.0 | ||||||||||||||||
| 70 | 70 | 2023 | Amazon Web Services | cn-north-1 | China (Beijing) | 39.904,116.4075 | 0.18 | 0.0 | |||||||||||||||||
| 71 | 71 | 2023 | Amazon Web Services | cn-northwest-1 | China (Ningxia) | 38.4795,106.2254 | 1.26 | 0.18 | 0.0 | ||||||||||||||||
| 89 | 89 | 2023 | Microsoft Azure | mexicocentral | Mexico | MX | MX_SIN | Mexico Central | 20.631, -100.428 | ||||||||||||||||
| 91 | 91 | 2023 | Microsoft Azure | westus3 | Arizona: west US 3 | 33.471,-112.056 | 1.18 | ||||||||||||||||||
| 99 | 99 | 2023 | Microsoft Azure | westcentralus | Wyoming: West Central US | 41.130,-104.83 | 1.11 | ||||||||||||||||||
| 166 | 166 | 2022 | Amazon Web Services | cn-north-1 | China (Beijing) | 39.904,116.4075 | 1.0 | 0.19 | 0.0 | ||||||||||||||||
| 167 | 167 | 2022 | Amazon Web Services | cn-northwest-1 | China (Ningxia) | 38.4795,106.2254 | 1.0 | 1.28 | 0.19 | 0.0 | |||||||||||||||
| 185 | 185 | 2022 | Microsoft Azure | mexicocentral | Mexico | MX | MX_SIN | Mexico Central | 20.631, -100.428 | 1.12 | 0.056 | 421.9293015 | 422.0 | ||||||||||||
| 187 | 187 | 2022 | Microsoft Azure | westus3 | Arizona: west US 3 | 33.471,-112.056 | 0.47 | 1.223 | 2.24 | ||||||||||||||||
| 195 | 195 | 2022 | Microsoft Azure | westcentralus | Wyoming: West Central US | 41.130,-104.83 | 0.47 | 1.125 | 0.23 | ||||||||||||||||
| 253 | 253 | 2021 | Amazon Web Services | me-south-1 | Bahrain | BH | BH | Middle East (Bahrain) | |||||||||||||||||
| 254 | 254 | 2021 | Amazon Web Services | me-central-1 | United Arab Emirates | AE | AE | Middle East (UAE) | |||||||||||||||||
| 258 | 258 | 2021 | Amazon Web Services | cn-north-1 | China (Beijing) | ||||||||||||||||||||
| 259 | 259 | 2021 | Amazon Web Services | cn-northwest-1 | China (Ningxia) |
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CREATE TABLE "cloud_regions_metadata" ( [year] INTEGER, [cloud-provider] TEXT, [cloud-region] TEXT, [cfe-region] TEXT, [em-zone-id] TEXT, [wt-region-id] TEXT, [location] TEXT, [geolocation] TEXT, [provider-cfe-hourly] FLOAT, [provider-cfe-annual] FLOAT, [power-usage-effectiveness] FLOAT, [water-usage-effectiveness] FLOAT, [provider-carbon-intensity-market-annual] FLOAT, [provider-carbon-intensity-average-consumption-hourly] FLOAT, [grid-carbon-intensity-average-consumption-annual] FLOAT, [grid-carbon-intensity-marginal-consumption-annual] FLOAT, [grid-carbon-intensity-average-production-annual] FLOAT, [grid-carbon-intensity] FLOAT, [total-ICT-energy-consumption-annual] INTEGER, [total-water-input] INTEGER, [renewable-energy-consumption] INTEGER, [renewable-energy-consumption-goe] INTEGER, [renewable-energy-consumption-ppa] INTEGER, [renewable-energy-consumption-onsite] INTEGER );