This dataset contains hourly weather data collected from the DWD in Berlin Tempelhof. The time period may vary depending on the data set. For each CSV there is a separate PDF file with an explanation of the data.

Following climate data comes with this dataset: - air temperature - cloud type - cloudiness - dew point - moisture - pressure - soil temperature - sun duration - visibility - wind

The full of archives can be found here. The full list of weather stations can be found here.

Copyright

Source: Deutscher Wetterdienst

https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F3952497%2F8648a2204e538b2fdb792a875002a62d%2FDWD-Logo.tif?generation=1702474640840225&alt=media" alt="">

Acknowlegement

Foto von Claudio Schwarz auf Unsplash

Climate data and weather trends for Berlin, Germany. View historical temperature and precipitation patterns with interactive charts.

Based on current monthly figures, on average, German climate has gotten a bit warmer. The average temperature for January 2025 was recorded at around 2 degrees Celsius, compared to 1.5 degrees a year before. In the broader context of climate change, average monthly temperatures are indicative of where the national climate is headed and whether attempts to control global warming are successful. Summer and winter Average summer temperature in Germany fluctuated in recent years, generally between 18 to 19 degrees Celsius. The season remains generally warm, and while there may not be as many hot and sunny days as in other parts of Europe, heat waves have occurred. In fact, 2023 saw 11.5 days with a temperature of at least 30 degrees, though this was a decrease compared to the year before. Meanwhile, average winter temperatures also fluctuated, but were higher in recent years, rising over four degrees on average in 2024. Figures remained in the above zero range since 2011. Numbers therefore suggest that German winters are becoming warmer, even if individual regions experiencing colder sub-zero snaps or even more snowfall may disagree. Rain, rain, go away Average monthly precipitation varied depending on the season, though sometimes figures from different times of the year were comparable. In 2024, the average monthly precipitation was highest in May and September, although rainfalls might increase in October and November with the beginning of the cold season. In the past, torrential rains have led to catastrophic flooding in Germany, with one of the most devastating being the flood of July 2021. Germany is not immune to the weather changing between two extremes, e.g. very warm spring months mostly without rain, when rain might be wished for, and then increased precipitation in other months where dry weather might be better, for example during planting and harvest seasons. Climate change remains on the agenda in all its far-reaching ways.

Regional Water Temperatures Over Time

Historical Records of Berlin, Brandenburg and Altmark Lakes

By [source]

About this dataset

This dataset is an invaluable resource for tracking the changes in water temperatures over time in Berlin, Brandenburg, and the Altmark region. With data crawled from the website https://wind.met.fu-berlin.de/mvdtext/mvd_text.htm it provides an unprecedented look into how water temperatures have shifted from year to year, as well as providing detailed information on when and where this data was recorded - down to individual lakes! Dive into our data for a closer look at regional temperature fluctuations, get insight into long term trends over time, or just explore - with this data you can do it all! Found with columns of location, dateTemperature recording the exact moment of when it was taken and degree Celsius temperature logging you can use these records to monitor changes and correlate those changes back to regional factors like weather patterns or urban development impacting bodies of water in the area - all without ever getting your feet wet!

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How to use the dataset

How to Use this Dataset

This dataset includes historical records of water temperatures of lakes in Berlin, Brandenburg, and the Altmark region. It was crawled from a website that provides information about changes in water temperatures over time and year to year in these regions. The data can be used to determine trends in order to monitor changes in water temperatures over periods of changing weather or other factors.

To start using the dataset, it’s important firstly that you familiarise yourself with its columns:location, dateTemperature (the date and time when the temperature was recorded), dateScrape (the date and time when the data was scraped from the website). After understanding what each column indicates; you are then able to identify the lake which has recorded temperature(s) by looking at ‘location’ column header row entry.

By analysing individual entries for each lake within a given period, one will be able ascertain whether there is a sudden change in average water temperature for one particular lake influenced by sources such as localised weather conditions or seasonality etc… One could also compare various lakes against one another during identical timed intervals as well as evaluating averages across all lakes within Brandenburg or Berlin during a given timeframe too! Furthermore - utilising ‘dateTemperature’ column entry along with scraping for updated entries at periodic gaps; monitors regional water temparatures over time enabling users gain insights on applicable regional climate related issues e.g flooding etc…

Research Ideas

• Predicting the temperature of various lakes in Berlin, Brandenburg, and Altmark over time.
• Establishing a correlation between changes in water temperature and other variables such as atmospheric pressure, rainfall/drought conditions, air temperature etc.
• Investigating the effects of climate change on water temperatures in lakes in these regions over extended periods of time

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: data.csv | Column name | Description | |:--------------------|:------------------------------------------------------------------------------------------------| | location | The location of the lake where the temperature was taken from. (String) | | dateTemperature | The date and time (in ISO-format) when the temperature was taken. (DateTime) | | dateScrape | The date and time (in ISO-format) when the data was scraped from its source website. (DateTime) |

Acknowledgements

If you use this dataset in your research, please credit the original authors. If you use this dataset in your research, please credit .

Air Quality Forecast: Contaminant Concentration: PM10: Germany: Berlin data was reported at 4.131 mcg/Cub m in 22 May 2025. This records a decrease from the previous number of 5.348 mcg/Cub m for 21 May 2025. Air Quality Forecast: Contaminant Concentration: PM10: Germany: Berlin data is updated daily, averaging 13.641 mcg/Cub m from Oct 2019 (Median) to 22 May 2025, with 2038 observations. The data reached an all-time high of 70.449 mcg/Cub m in 11 Mar 2025 and a record low of 2.501 mcg/Cub m in 24 Dec 2023. Air Quality Forecast: Contaminant Concentration: PM10: Germany: Berlin data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Germany – Table CAMS.AQF: Air Quality Forecast: Contaminant Concentration: PM10: by Cities. [COVID-19-IMPACT]

Forecast: Individuals Having Last Purchased Online in the Past 12 Months in Berlin 2024 - 2028 Discover more data with ReportLinker!

Air Quality Forecast: Contaminant Concentration: Ozone: Germany: Berlin data was reported at 76.261 mcg/Cub m in 22 May 2025. This records a decrease from the previous number of 78.203 mcg/Cub m for 21 May 2025. Air Quality Forecast: Contaminant Concentration: Ozone: Germany: Berlin data is updated daily, averaging 55.893 mcg/Cub m from Oct 2019 (Median) to 22 May 2025, with 2038 observations. The data reached an all-time high of 98.659 mcg/Cub m in 26 Jun 2022 and a record low of 2.923 mcg/Cub m in 10 Dec 2021. Air Quality Forecast: Contaminant Concentration: Ozone: Germany: Berlin data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s Germany – Table CAMS.AQF: Air Quality Forecast: Contaminant Concentration: Ozone: by Cities. [COVID-19-IMPACT]

Urban Air Quality and Climate Dataset (1958-2025)

Overview

This dataset provides comprehensive air quality and climate measurements spanning from ice core reconstructions to modern direct measurements, focusing on urban environments worldwide.

Dataset Components

1. CO2 Measurements (co2_emissions.csv)

2. Air Quality Data (air_quality_global.csv)

3. Urban Climate Data (urban_climate.csv)

4. Ice Core CO2 Data (ice_core_co2.csv)

Data Quality

• All measurements include quality flags and uncertainty estimates
• Missing data is explicitly coded
• Seasonal and long-term trends reflect real-world patterns
• Data sources are clearly documented for each measurement

Usage Recommendations

• Ideal for air quality trend analysis and forecasting
• Suitable for climate-pollution interaction studies
• Perfect for machine learning model training and validation
• Comprehensive enough for urban planning and policy research
• Includes both modern measurements and historical context

Cities Included

Beijing, Berlin, Chicago, Dallas, Delhi, Houston, Lagos, London, Los Angeles, Mexico City, Mumbai, New York, Paris, Philadelphia, Phoenix, San Antonio, San Diego, San Jose, São Paulo, Tokyo

File Structure

├── co2_emissions.csv      # Direct CO2 measurements from Mauna Loa Lab
├── air_quality_global.csv    # PM2.5 and NO2 data from 20 cities worldwide
├── urban_climate.csv      # Climate variables for the same cities
├── ice_core_co2.csv       # Historical CO2 from ice cores
├── metadata.json          # Complete metadata of dataset

Citation

Urban Air Quality Dataset v1.0 (2025).

Contact

Data compiled for Kaggle community use. Questions and feedback welcome.

This and later data is now completely contained in The Berlin Stratospheric Data Series cdrom [https://rda.ucar.edu/cdroms/karin_labitzke_strat_grids/], created by Karin Labitzke and Collaborators. If you acquire data from this cdrom, please acknowledge:K. Labitzke and Collaborators, 2002: The Berlin Stratospheric Data Series,CDROM from Meteorological Institute, Free University Berlin. The data described below is retained for historical purposes. It should be noted that analyses in the stratosphere are particularly sensitive to changes in instrumentation and analysis methods. The German methods have been quite stable.