21e8957f-48b2-4e29-8aa5-247cf060a59c English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:16:59 UK GEMINI 2.3 WGS 84 Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest, UK, 2024 2025-03-04 publication 2025-02-19 creation https://catalogue.ceh.ac.uk/id/21e8957f-48b2-4e29-8aa5-247cf060a59c 10.5285/21e8957f-48b2-4e29-8aa5-247cf060a59c doi: Reinsch, S., Hatton, J. (2025). Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest, UK, 2024. NERC EDS Environmental Information Data Centre 10.5285/21e8957f-48b2-4e29-8aa5-247cf060a59c This dataset presents daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots). Soil temperature is measured at 5 cm and 20 cm soil depth (degrees Celsius), and soil moisture is measured as soil volumetric water content (m3 per m3). Data were collected from the climate change field site Climoor that is located in Clocaenog forest, NE Wales. The experimental field site consists of three untreated control plots (Plots 3, 6 and 9), three plots where the plant canopy air is artificially warmed during night time hours (Plots 1, 2 and 7) and three plots where rainfall is excluded from the plots at least during the plants growing season (Plots 4, 5 and 8). Data is an extension for the micromet datasets 1998-2015, 2015-2016, 2016-2021 and 2022-2023 covering the time period January 2024 to December 2024. Soil temperatures are measured with a T107 sensor from Campbell scientific. Soil moisture is measured with CS616 sensors from Campbell scientific. Temperature and moisture data are logged in minute intervals and are averaged as half-hourly. The Climoor field experiment intents to answer questions regarding the effects of warming and drought on ecosystem processes. The reported plot level temperature and soil moisture data are important to evaluate the effect of the imposed climatic treatments on ecosystem processes and functioning. Data collection, processing and quality checks were carried out by UKCEH staff. More detailed information about the field site, measurements and related datasets can be found in the documentation accompanying the data. Full details about this dataset can be found at https://doi.org/10.5285/21e8957f-48b2-4e29-8aa5-247cf060a59c Reinsch, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-4649-0677 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Reinsch, S. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-4649-0677 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact Hatton, J. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-9408-7981 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk owner Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication heathland GEMET - Concepts, version 4.1.3 2019-01-28 creation Climate and climate change climate change NC-UK plot level data otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Reinsch, S., Hatton, J. (2025). Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest, UK, 2024. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/21e8957f-48b2-4e29-8aa5-247cf060a59c textTable 10 English utf8 environment 2024-01-01 2024-12-31 -3.479 -3.391 53.033 53.077 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/21e8957f-48b2-4e29-8aa5-247cf060a59c Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/21e8957f-48b2-4e29-8aa5-247cf060a59c.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Data are recorded in minute intervals, automatically averaged to half-hourly by the data-logger and stored as such. Half-hourly data are transferred from loggers at the field site to UKCEH servers via a remote telemetry system. Each morning, the previous day's data are transferred. The dataset combines daily data from temperature and soil moisture sensors in each experimental plot (there are nine plots). Soil temperature is measured at 5 centimetre (cm) and 20 cm soil depth (degrees Celsius). Air temperature is measured 20 cm above the soil surface (degrees Celsius) and soil moisture is measured as soil volumetric water content (m3 per m3). Soil and air temperatures were measured with a T107 sensor, and soil moisture was measured with CS616 sensors, both from Campbell scientific. An automated script transfers data to a shared network drive. Data quality checking was done at the end of each calendar year by an experienced member of the team. Data files were combined using an R script. Data were then averaged to daily records. Data was visually inspected and erroneous values were removed, taking into account the seasonal cycle. Data which were not recorded are marked with “NA”, faulty data were replaced by “-9999”. Data were saved as .csv.