Earth Notes: 16WW High Resolution Temperature/RH Dataset (2025)

Updated 2026-01-11 21:54 GMT.
By Damon Hart-Davis ORCID.
High-resolution dataset for heating system monitoring. #heatBattery #microgen #dataset
temp9M1644723
Data collected from an extra set of room and radiator sensors in 16WW for most of the 2025 heating season. Useful in conjunction with Radbot data from the same interval.

From the README.txt file: 

A stand-alone collection of sensor data from 16WW rooms and radiators
mainly from the start of 2025, the first full year of the 16WW heat pump.

The data is temperature and relative humidity at ~30s and ~1/32K granularity.

See mapping.csv for the location corresponding to each sensor ID (kid).

The bulk of the data is in contiguous ranges converted to (gzip-ed) CSV
in the 2025-01 files (from 2025-01-01 to 2025-09-08)
in the 2025-11 files (from 2025-11-01 to 2025-12-01).

The CSV files are named id-param-YYYY-MM.csv.gz eg 1645003-temp-2025-01.csv.gz
where temp = temperature, humi = relative humidity, YYYY-MM is start date.

These data points can be used alongside OpenTRV/Radbot data from the same rooms.

Dataset

name
16WW 2025 high-resolution temp/RH% data for heating system monitoring
description
16WW high-resolution temperature and relative humidity data from room and radiator sensors from a separate sensor set for monitoring the heat-pump home central-heating system behaviour in 2025.
version
1
keywords
heat, home, domestic, heat pump, heating system, temperature, relative humidity, RH%, time series, high resolution, Kingston-upon-Thames, London, UK
variable measured
temperature Celsius
variable measured
relative humidity %
date created
2026-01-11T15:21:49Z
date published
date modified
2026-01-11T16:00Z
temporal coverage
2025
spatial coverage
UK centre 51.406696N,-0.288789E elevation 16m
distribution
directory of sensor ID/location mapping, and compressed CSV data files named by sensor ID and start date
canonical URL
this descriptive text with markup
is part of
16WW Dataset
licence
this dataset is licensed under CC0, ie it is effectively public domain; if you make use of this data, attribution is welcome but not required
is accessible for free
true
~216 words.