Published July 29, 2024 | Version 1.0
Dataset Open

Flood Classification Dataset from the River Wupper in Germany

Description

Flood Classification Dataset from the River Wupper in Germany

This dataset contains sensor measurements of water levels and rainfall amounts around the river Wupper region and the city of Wuppertal in North Rhine-Westphalia Germany. The dataset shows data over 19 years and from 10 different sensors. The data is sampled to one data point every 30 minutes.

The water level measurements are given in [cm] and show 2 different measuring locations: The first is a river water level in the inner city of Wuppertal, called Kluserbrücke (Abbrev.: WL KLU), the second is the water level of the biggest dam, positioned upstream to WL KLU, called Krebsöge (Abbrev.:WL KRE). If the water levels exceeds 125 cm at WL KLU, local authorities would issue a warning as the water level is dangerously high from then on.

The rain measurements are given in [mm] and as there is one datapoint given for every 30 minutes, indicates the amount of rain in millimeters fallen in the last 30 minutes. All abbreviations for precipitation sensors carry the prefix Prec and are followed by a name indicating the specific sensor location.

 

File Structure

The data is split up into train/validation/test and a cross validation datasets. The File is named in this manner:

  • HWS-{d}-{k}_multi_label.csv

    Where:

    • {d} indicates the dataset purpose: {TRAIN, VAL, TEST}
    • {k} indicates the cross-validation fold.


Source

This dataset is based on data from the Wupperverband (https://www.wupperverband.de/startseite) and the open data platform of the Deutscher Wetterdienst (DWD) (https://opendata.dwd.de/).

Files

HWS-TEST-0_multi_label.csv

Files (6.6 GB)

Name Size Download all
md5:613fd779a4525ecf99279c70c8361831
131.6 MB Preview Download
md5:dc42dabd12bccfd12463e8f3264f8f2e
131.9 MB Preview Download
md5:4884abd79e33b007a4639b2b987760f6
131.7 MB Preview Download
md5:6a549f5603eb47d687e25bba906142f2
131.6 MB Preview Download
md5:0d7bcf6bf235eadf8306ea6490266f6d
131.6 MB Preview Download
md5:f717fc49bbbcb2c99e1657297ab1303c
1.1 GB Preview Download
md5:173a663ffd26ccc777e09f180ba18ff4
1.1 GB Preview Download
md5:c1170633006e2ee65e6fe84f17b63abb
1.1 GB Preview Download
md5:d8a453ea5881759ae3b3b900f6c30934
1.1 GB Preview Download
md5:0f7bbbfd4367779db61a643504bbd041
1.1 GB Preview Download
md5:080bbf5af05b0900b7332629fe93a14d
131.7 MB Preview Download
md5:613fd779a4525ecf99279c70c8361831
131.6 MB Preview Download
md5:dc42dabd12bccfd12463e8f3264f8f2e
131.9 MB Preview Download
md5:4884abd79e33b007a4639b2b987760f6
131.7 MB Preview Download
md5:6a549f5603eb47d687e25bba906142f2
131.6 MB Preview Download