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Pollen forecast for more than 35 different pollen types

Wetter.com
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DATE_FORECAST
COUNTRY
ZIP_CODE
DATE
POLLEN_TYPE
POLLEN_INDEX
1 xxxxxxxxxx Xxxxxxxxx xxxxxx xxxxxxxxxx Xxxxx Xxxxxx
2 Xxxxxxxxxx Xxxxxx Xxxxxxxxx Xxxxxxxxxx xxxxxxxxx Xxxxxxxxx
3 xxxxxxxxx Xxxxxxx xxxxxx Xxxxx xxxxxxxxxx xxxxxx
4 Xxxxxxxxxx xxxxxx Xxxxx Xxxxxx xxxxx xxxxxxxx
5 xxxxxxx Xxxxx Xxxxxxxx xxxxxxxxxx xxxxxx Xxxxxxxxx
6 xxxxxx Xxxxxxxxx Xxxxxxxxx xxxxxxxxxx Xxxxxx Xxxxx
7 xxxxxx xxxxxxx xxxxxxx Xxxxx xxxxxx Xxxxxxxxxx
8 xxxxxxxx xxxxxx Xxxxx Xxxxxxx xxxxxx Xxxxxxxx
9 Xxxxxxx Xxxxx xxxxxx xxxxxxxxxx Xxxxx xxxxxxxxxx
10 xxxxxxxxx Xxxxxxx xxxxxxxx xxxxxxxx Xxxxxxxxxx Xxxxxxxx
... Xxxxxxxx xxxxxxxxx Xxxxxxxxxx Xxxxxx Xxxxxxxxx xxxxx
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Avail. Formats
.json, .xml, and .csv
File
Coverage
6
Countries

Data Dictionary

[Sample] 2022-09-29 10_37pm (3).csv
Attribute Type Example Mapping
DATE_FORECAST
DateTime 2022-09-29T00:00:00+00:00
COUNTRY
String DE
ZIP_CODE
Integer 59425
DATE
DateTime 2022-09-29T00:00:00+00:00
POLLEN_TYPE
String Abies
POLLEN_INDEX
Integer 0
Product Attributes
Attribute Type Example Mapping
date_forecast
Date 2022-09-29
country
String DE
zip_code
String 59425
date
Date 2022-09-29
pollen_type
String Aesculus
pollen_index
Integer 3

Description

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

Geography

Europe (6)
Austria
Belgium
Denmark
Germany
Netherlands
Switzerland

Pricing

License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available

Suitable Company Sizes

Small Business
Medium-sized Business
Enterprise

Delivery

Methods
S3 Bucket
SFTP
Email
REST API
Frequency
daily
Format
.json
.xml
.csv
.xls

Use Cases

Demand Forecasting
Healthcare Market Analysis

Categories

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Frequently asked questions

What is Pollen forecast for more than 35 different pollen types?

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.

What is Pollen forecast for more than 35 different pollen types used for?

This product has 2 key use cases. Wetter.com recommends using the data for Demand Forecasting and Healthcare Market Analysis. Global businesses and organizations buy Pollen Data from Wetter.com to fuel their analytics and enrichment.

Who can use Pollen forecast for more than 35 different pollen types?

This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for Pollen Data. Get in touch with Wetter.com to see what their data can do for your business and find out which integrations they provide.

Which countries does Pollen forecast for more than 35 different pollen types cover?

This product includes data covering 6 countries like Germany, Netherlands, Switzerland, Belgium, and Austria. Wetter.com is headquartered in Germany.

How much does Pollen forecast for more than 35 different pollen types cost?

Pricing information for Pollen forecast for more than 35 different pollen types is available by getting in contact with Wetter.com. Connect with Wetter.com to get a quote and arrange custom pricing models based on your data requirements.

How can I get Pollen forecast for more than 35 different pollen types?

Businesses can buy Pollen Data from Wetter.com and get the data via S3 Bucket, SFTP, Email, and REST API. Depending on your data requirements and subscription budget, Wetter.com can deliver this product in .json, .xml, .csv, and .xls format.

What is the data quality of Pollen forecast for more than 35 different pollen types?

You can compare and assess the data quality of Wetter.com using Datarade’s data marketplace.

What are similar products to Pollen forecast for more than 35 different pollen types?

This Tabular Data has 3 related products. These alternatives include CustomWeather API Weather Forecasts Hourly And Daily 85,000 Global Weather Forecast Points Forecasts Archived Back To 2012, Worldwide Hourly Weather Forecast Data Location Specific Forecast Values By City, State, or Country, and Weather Source: OnPoint Extreme Weather Forecast Service - Hurricanes, Wildfires and More. You can compare the best Pollen Data providers and products via Datarade’s data marketplace and get the right data for your use case.

Pricing available upon request
License Starts at
One-off purchase Available
Monthly License Available
Yearly License Available
Usage-based Not available