Pollen forecast for more than 35 different types - Data Sample

With this dataset you can use pollen forecast indices of over 35 types of pollen to help predict how these pollen may affect your customers health, your business decisions and offerings. You can enrich and improve your website, your analysis, your Data Science project, or trigger any event based on high accurate weather forecast. Forecast data includes pollen data for the next 5 days on daily level for a given ZIP code. In comparison to the full data set, this data sample provides information for one ZIP code.

The data can be found here:
"PUBLIC"."FORECAST_POLLEN_VIEW_EXAMPLE”

The dataset has the following fields:

- date_forecast: Date on which the forecast was created
- country: country of the zip_code.
- zip_code: Zip code for which the index was calculated for a pollen type
- date: date for which the index was calculated
- pollen_index: Index for the pollen severity on a given date. The index ranges from 0 to 3.

The definition of the pollen index is:
0: no impact for this pollen type
1: low impact
2: medium impact
3: high impact

We offer the index for the following pollen types:

- Abies
- Acer
- Aesculus
- Ambrosia
- Artemisia
- Asteraceae
- Betula
- Carpinus
- Castanea
- Corylus
- Cruciferae
- Cyperaceae
- Fraxinus
- Fungus
- Galium
- Humulus
- Larix
- Pinaceae
- Pinus
- Plantago
- Populus
- Quercus ilex
- Rumex
- Salix
- Secale
- Chenopodium
- Tilia
- Urtica
- Alnus
- Erica
- Fagus
- Impatiens
- Juglans
- Poaceae
- Quercus
- Sambucus
- Picea
- Ulmus
- Varia
- Platanus
- Taxus

搜集汇总

背景与挑战

背景概述

该数据集提供35种以上花粉类型的5天预测数据，包含按邮编地区划分的花粉影响指数（0-3级）。核心字段涵盖预测日期、国家、邮编及每日花粉指数值，适用于健康预警或商业决策分析。