• About

home / cloud_regions

cloud_regions_metadata

6 rows where power-usage-effectiveness = "1.1"

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: year, cloud-provider, cloud-region, cfe-region, em-zone-id, wt-region-id, location, geolocation, provider-cfe-hourly, provider-cfe-annual, water-usage-effectiveness, provider-carbon-intensity-average-consumption-hourly, grid-carbon-intensity-marginal-consumption-annual, grid-carbon-intensity

power-usage-effectiveness 1 ✖

  • 1.1 · 6 ✖
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
31 31 2023 Google Cloud us-central1 MISO US-MIDW-MISO MISO_MASON_CITY Iowa 41.5725,-93.6105 0.95   1.1   0.0 430.0 501.42   518.84              
32 32 2023 Google Cloud us-east1 SC US-CAR-SC SC South Carolina 34.8354,-82.3646 0.29   1.1   0.0 560.0 649.07   797.96              
57 57 2023 Amazon Web Services eu-west-1 Ireland IE IE Europe (Ireland) 53.35,-6.2603     1.1 0.18 0.0   403.4   416.03              
128 128 2022 Google Cloud us-east1 SC US-CAR-SC SC South Carolina 34.8354,-82.3646 0.26   1.1   0.0 532.0 620.85 727.5301036 769.37 728.0            
132 132 2022 Google Cloud us-west1 BPA US-NW-BPAT BPA Oregon 45.5372,-122.3955 0.89   1.1   0.0 67.0 86.61 427.1886293 58.5 427.0            
153 153 2022 Amazon Web Services eu-west-1 Ireland IE IE Europe (Ireland) 53.35,-6.2603   1.0 1.1 0.19 0.0   404.89 507.95177 404.88 508.0            

Advanced export

JSON shape: default, array, newline-delimited

CSV options:

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
);
Powered by Datasette · Queries took 29.429ms