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prediction is for.", "type_override": ""}}, {"id": "parameter", "type": "text", "info": {"label": "Parameter", "notes": "Air quality parameter being forecast. Parameters include CO (carbon monoxide), NO2 (nitrogen dioxide) and PM25_RH35 (PM2.5 - tiny inhalable particles (with diameters of 2.5 micrometers or less), which are unhealthy to breathe in).", "type_override": ""}}, {"id": "value", "type": "float8", "info": {"label": "Parameter value", "notes": "The concentration of the air quality parameter.", "type_override": ""}}, {"id": "units", "type": "text", "info": {"label": "Units", "notes": "The units that the air quality parameter are in. (Note that these units do not match the units used in the [Allegheny County Air Quality dataset](https://data.wprdc.org/dataset/allegheny-county-air-quality), so make sure to do any necessary conversions when making cross-dataset comparisons.)", "type_override": ""}}, {"id": "aqi", "type": "int4", "info": {"label": "AQI", "notes": "Air Quality Index: A standard scale from 0 to 500, that makes it easier to understand how harmful a given concentration of a pollutant would be. An AQI of 0 to 50 is considered Good, 51 to 100 is Moderate, 101 to 150 is Unhealthy for Sensitive Groups, 151 to 200 us Unhealthy, 201 to 300 is Very Unhealthy, and > 300 is Hazardous. For some parameters, there will be null/empty values for some times. For instance, an AQI that requires a 24-hour average will not be calculated until Day 2 of the forecasts, so that there are 24 records over which to average.", "type_override": ""}}, {"id": "aqi_descriptor", "type": "text", "info": {"label": "AQI Descriptor", "notes": "Translates the Air Quality Index value into the official term for the level of concern (e.g., 151 to 200 is \"Unhealthy\").", "type_override": ""}}, {"id": "aqi_type", "type": "text", "info": {"label": "AQI Type", "notes": "Specifies how the AQI is calculated (as different pollutants can use rolling averages over different time spans).", "type_override": ""}}, {"id": "place", "type": "text", "info": {"label": "Place", "notes": "A human-readable name for a place within the geographic area of the prediction. This is kind of a landmark to help users find places of interest in the table.", "type_override": ""}}, {"id": "latitude_str", "type": "text", "info": {"label": "Latitude", "notes": "Latitude of the center of the grid cell that the inversion prediction is for. Unlike the previous latitude field, this one is of type string.", "type_override": ""}}, {"id": "longitude_str", "type": "text", "info": {"label": "Longitude", "notes": "Longitude of the center of the grid cell that the inversion prediction is for. Unlike the previous longitude field, this one is of type string.", "type_override": ""}}, {"id": "date_of_prediction", "type": "date", "info": {"label": "Date of prediction", "notes": "This is the date that the prediction was made (which should not be confused with the date that the prediction is **for**). For instance, on the first day of the year 2030, this field would have the value 2030-01-01 for all records, while the `datetime_utc` value will have different values, indicating the different days/times that are being predicted.", "type_override": ""}}], "total": 5490}}