cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/02a10a1a-693c-47dd-8f46-c70ff7f218f0
title: Daily plot level (micro meteorological) data at Climoor field site in Clocaenog Forest 2022-2023

description: This dataset presents daily data from temperature and soil moisture sensors in each experimental plot (n=9 plots) at the Climoor field site. 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 and 2016-2021, covering the time period January 2022 to December 2023. Temperature and moisture data are logged in minute intervals and are averaged as half-hourly. Data were sent from the field site to a UKCEH server. A working copy was created, quality assurance checks carried out and daily averages calculated from half-hourly records. Data which were not recorded are marked as “NA”, faulty data were replaced by “-9999”. Data collection, processing and quality check was carried out by UKCEH staff.

The Climoor field experiment intends 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. More detailed information about the field site, measurements and related datasets can be found in the supporting documentation.
description: Data are recorded in minute intervals, automatically averaged to half-hourly by the data-logger and stored as such. The half-hourly data was transferred from loggers at the field site onto UKCEH servers via a remote telemetry system. Each morning, the previous day’s data was transferred. This dataset combines daily data from temperature and soil moisture sensors in each experimental plot (n=9 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 transferred the data into the project shared area of the 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.
DOI: 10.57745/hedecm
title: 2009-EGG-UA-1401-Berest.ogg

description: Enregistrement audio en version originale russe
DOI: 10.5285/e8a1bf2d-bc6b-452f-ab9d-40fa2288fce6
title: Ecosystem functions and vegetation data for Winklebury Hill, Salisbury Plain, UK 2016

description: This dataset contains vegetation survey data, and nitrate and ammonium concentrations, nitrification and mineralisation rates, microbial biomass and carbon and nitrogen stock data from soils taken from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. Net ecosystem carbon dioxide exchange, photosynthesis and respiration data were measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data were measured using gas chromatography; nitrate and ammonium from soil samples extracted with potassium chloride; carbon and nitrogen from soils extracted with water; and carbon and nitrogen stocks measured through combustion analysis. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2016 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide.
description: For greenhouse gas exchange flux, a time series correlation was calculated and low correlations removed (<70%). Outliers were also removed at the beginning and end of sample where appropriate. Calibrations at two levels were done for methane gas flux (at 14, and 33 ppm), carbon dioxide gas flux (at 500 and 1000 ppm) and nitrous oxide gas flux (at 200 and 370 ppm). For soil extractable nitrate and ammonium using potassium chloride and water, the analysis used 5% analytical replicates, recalibration (at 5, 4, 3, 2 and 1 ppm) and blanks every 20 samples. For carbon and nitrogen extracted from ground soil extracts standards (acetanilide) and blanks were run every 20 samples. Standardised protocols were followed in all cases, details of which can be found in the supporting documentation.
DOI: 10.57745/rp1ht0
title: 2009-EGG-UA-1402-Berest.ogg

description: Interprétation en anglais, interprète/traducteur : Lera Sheynin
DOI: 10.5883/ds-aphfumi
title: Tobias Salden, Istvan Miko, Arnstein Staverlokk, Marina Moser, Cristina Vasilita, Jonathan Vogel, Lars Podsiadlowski, Nils Hein, George Japoshvili, Ralph S. Peters

description: DNA barcode data hosted in the Data Portal of the Barcode of Life Data Systems. Records consist of specimen metadata, specimen images, and sequence data.
DOI: 10.5285/6e395915-ab5c-43f4-b4de-c9a3c5c1b956
title: Grass productivity data from a field site in the Conwy Valley (2016)

description: Data are presented showing grass productivity as grammes per 100 square centimetres under four different nutrient treatments (water, nitrogen, phosphorus and nitrogen & phosphorus combined). An experimental hillslope in the Conwy catchment was selected in August 2016. Three transects, were identified across the hillslope. Along each transect, a 1 x 1 square metre quadrat was used to delineate randomly selected sampling areas. Within each quadrat 5 individual 10 x 10 x 10 centimetre (cm) swards were collected using a spade and transported to the laboratory in Bangor University for the nutrient addition. Three different harvests at different stages (initial cut, first harvest, second harvest) were conducted in order to measure grass productivity. Harvest included removal of all vegetation within the quadrat down to approximately 1 cm in height. The data were collected to identify the nutrient limitations within the hillslope by trained members of staff from Bangor University and the Centre for Ecology & Hydrology. The data were collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf.
description: Three 75 metre long transects, 20 metres apart, were identified across an experimental hillslope. Along each transect, a 1 x 1 square metre quadrat was used to delineate the sampling area (randomly selected) at 2, 12 and 75 metres from the river. Five individual 10 x 10 x 10 centimetre (cm) swards were collected (total of 45 swards) within each quadrat (9 quadrats in total) using a spade. The swards were transported to a laboratory in Bangor University. The water, Nitrogen, Phosphorus and Nitrogen and Phosphorus combined treatments were added and grass productivity (involving harvesting at different stages) under different nutrient additions was measured. Samples were placed in a pre-weighed bag, biomass was measured fresh and then samples were oven dried at 80 degrees Celsius for 24 hours and samples reweighed for dry weight measurements. Data were entered into an Excel spreadsheet and exported as a .csv file for ingestion into the Environmental Information Data Centre.
DOI: 10.57745/36yara
title: Entretien avec Marta Berest. Histoire de vie et expériences de déportation en URSS

description: Cet entretien a eu lieu le 23 octobre 2009 à Lviv, Ukraine, au domicile de l'interviewée. Il a été mené par Marta Craveri et Anne-Marie Losonczy. L'entretien a été réalisé en russe et traduit et interprété en anglais. Il a duré 1 heure et 13 minutes.
DOI: 10.5285/6e9a9a6e-1b42-46db-973b-06c1db2961c0
title: Abundance, biomass and elemental composition (CNP) of consumers in the Hampshire Avon [Macronutrient Cycling]

description: The dataset contains measurements of the annual average abundance, biomass and elemental composition (C, N, P) of consumers (fish and invertebrates) in six rivers within sub-catchments of the Hampshire Avon of contrasting geology (clay, sand, chalk). 
description: All data were generated by the authors. All individuals identifying invertebrates had over 10 years of experience and hold the Natural History Museum IdQ EO62 Identification of Freshwater Macroinvertebrate Species. All data produced were checked for errors before data was accepted. As chemical data were generated, checks were made to ensure accuracy (certified reference materials) and precision (repeat measurements) were within accepted tolerance limits. We also ensured measured values fit within those of calibration standards and, if necessary, re-analysed samples diluted to fall within the calibration range. For data generated via mass spectrometry, beam areas of all measured mass-to-charge ratios were corrected for drift offline using control standards. All data were checked to ensure reported values were above the detection limit of the method. All calculations were checked for errors before data was accepted.
DOI: 10.5285/155e1867-bc9d-44f0-9f85-0f682964f720
title: Survey responses from farmers on strengthening agricultural drought resilience in Thailand, 2020

description: This dataset contains the results of a farmers’ survey in the Ping Catchment in Thailand. The aim of this survey was to identify the specific socioeconomic impacts that historical droughts in the Ping catchment have had for agricultural communities, and identify factors affecting adaptation decisions, as well as analyse the communications with and amongst farmers at the local scale in the Ping catchment during drought.

Villages in the Ping catchment with a history of drought were selected to represent typical agricultural production typologies. In total, 176 questionnaires were completed with a close to even distribution of respondents coming from the provinces of Chiang Mai (n=41), Lamphun (n=45), Kamphaeng Phet (n=45) and Tak (n=45).
description: Data was collected in January 2020. The questionnaire was originally written in English, translated into Thai and administered before translation back to English. A data screening and cleaning process took place to ensure the data was ready for analysis.
DOI: 10.5285/c0f65bf5-3cb0-41ab-be3d-982490cecba9
title: Ant colour data from an experiment in Malaysian Borneo, 2015-2018

description: This dataset measures colour and estimates body size of ant species collected across four vertical strata: subterranean, ground, understory and canopy in lowland tropical rainforest. Ants were collected using different trapping techniques in each stratum; baited traps were used in the subterranean, understory and canopy strata and Winkler extractions were used to collect ground ants. The colour of each ant species was classified categorically by eye using a set pre-determined colours. A single dominant colour was assigned for each species, this was determined as the modal colour across all body parts and individuals for each species. Each colour was linked to a set of RGB (red, green and blue) values which were extracted from the original colour wheel using the image editing software paint.NET (v.4.0.3); RGB values for each colour were converted into HSV (hue, saturation and value) format. Body size of each species was estimated by measuring Weber's length. 

Accompanying the ant species data set are four additional data files: 1) data set measuring intraspecific variation in colour, 2) data set measuring intraspecific variation in Weber's length,  3) data set measuring soil temperature, and 4) data set measuring UVB radiation at 5 m vertical intervals from the ground to the canopy. This data is a contribution from the UK NERC-funded Biodiversity And Land-use Impacts on Tropical Ecosystem Function (BALI) consortium.
description: Twelve 50 m x 50 m experimental plots were located in lowland, tropical rainforest in Maliau Basin Conservation Area (MBCA) this included: four control plots, four ant suppression plots and four termite suppression plots. In ant suppression plots ground-dwelling ants were suppressed and in termite suppression plots ground-dwelling termites were suppressed. All plots were established in October 2014 and suppression of ants and termites was maintained until October 2017. Data on the colour of ants were only collected from control plots.
DOI: 10.5285/346124fd-a0c6-490f-b5af-eaccbb26ab6b
title: Historical (1950-2014) and projected (2015-2100) hydrological model (HMF-WA) estimates of monthly mean and annual maximum river flows across West Africa driven by CMIP6 projected climate data

description: This dataset comprises seven ensembles of hydrological model estimates of monthly mean and annual maximum river flows (m3s-1) on a 0.1 × 0.1 deg grid (approximate grid of 10 km × 10 km) across West Africa for historical (1950 to 2014) and projected future (2015 to 2100) periods.  This dataset is the output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The ensembles correspond to CMIP6 (Coupled Model Inter-comparison Project Phase 6) historical and three projected future climate scenarios (SSP126, SSP245 and SSP585) with two future scenarios of water use. The scenarios of water use are (i) future water use that varies in line with projected population increases, and (ii) future water use is the same as present day. This dataset is an output from the regional scale hydrological modelling study from African Monsoon Multidisciplinary Analysis-2050 (AMMA-2050) project.
description: The monthly mean and annual maximum river flows estimates are output from the Hydrological Modelling Framework for West Africa, or “HMF-WA” model. The climatic inputs to the model were bias-corrected CMIP6 daily precipitation and potential evaporation derived from bias-corrected CMIP6 daily temperature data. See Supporting Information for more details.
DOI: 10.5285/81cad1ef-b5cc-4592-a71f-204a5d04b700
title: High Carbon Stock stratification of the SAFE project site, Sabah, Malaysian Borneo, 2015 [HMTF]

description: This data set provides a spatial stratification of forest cover into discrete vegetation classes according to the High Carbon Stock (HCS) Approach.  The data set covers the Stability of Altered Forest Ecosystems (SAFE) project site located in Sabah, Malaysian Borneo.  Data were collected in 2015 during a project which was included in the NERC Human-modified tropical forest (HMTF) programme.

description: Landsat 8 and SPOT5 satellite imagery (15 m  and 2.5 m resolution respectively; temporal range: 2012-2014) were used to stratify forest habitat using phase one High Carbon Stock (HCS) assessment protocols. Multiple data sources were chosen to minimise the difficulties associated with cloud cover and haze.  A supervised classification of satellite images was undertaken, supplemented with visual interpretation techniques to correct for the potentially confounding effects of topographic shadow. This resulted in four discrete HCS classes, in descending order of carbon value: Dense Forest, Young Regenerating Forest, Scrub and Open Land. These classes were calibrated using above-ground carbon values derived from forest inventory data collected as part of the core SAFE monitoring programme (N=139).
DOI: 10.5285/5c6b2bcb-6b10-4c57-a595-ce94a655e709
title: Lake and catchment nutrient, ecology and hydrology monitoring of Rostherne Mere, Cheshire, UK (2016-2017)

description: This dataset includes catchment stream inflow and outflow rates, secchi depth, chlorophyll, phytoplankton counts and nutrient concentrations for the lake, inflow, outflow and groundwater spring. The measurements are from a PhD research project at Rostherne Mere in Cheshire. These data were collected to show the relationship between the catchment hydrology and in-lake nutrient loads for assessment of the current catchment nutrient budget. The monitoring study covered a period from January 2016 to January 2017. All data is presented with date, flow rate, nutrient and chlorophyll concentrations and phytoplankton species abundance. The work was carried out as part of a Natural Environment Research Council (NERC) funded PhD [grant number NE/L002493/1].
description: Water samples were collected approximately every 3 weeks from the lake, main inflow, main outflow and groundwater spring, with multiple water column depth samples (6, 12, 18 and 24 m) added to collection from September 2016. Water samples were analysed for orthophosphate (soluble reactive phosphorus; SRP), total phosphorus (TP), dissolved inorganic nitrogen (DIN) and dissolved silicate (DSi). An integrated water column sample (0-8 m) from the central lake location was collected for phytoplankton identification and chlorophyll analysis. Secchi depth at a central lake location was also recorded during each visit. Inflow and outflow discharge was determined by calculating a linear discharge relationship between cross-sectional profiles and sectional velocities recorded for a range of stage heights. This empirical stage-discharge relationship was then applied to continuous stage heights measurements recorded using a mini-diver data logger, recording water pressure every 5 minutes and calibrated to a barometer located at the lake shore. The data was collated to Excel spreadsheets held by the lead author at Loughborough University. For ingestion into the Environmental Information data was extracted from the Excel spreadsheets and converted into a comma separated file.
DOI: 10.5285/bad6721c-574b-4229-b023-c7b13ae4c099
title: Air pollution removed by vegetation in the UK, 2015

description: This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model applied to the UK (EMEP4UK) driven by Weather and Research Forecast model meteorology (WRF). It provides UK estimates annual averaged atmospheric composition at approximately 5Km grid for the year 2015 for a set of vegetation removal experiments.

 * UK current vegetation
 * UK no vegetation 
 * UK Urban current vegetation 
 * UK No urban vegetation 
 * UK Urban 25% open greenspace conversion
 * UK Urban 50% open greenspace conversion

The EMEP  model version used here is the rv4.10 and rv4.17, and the WRF model version is the 3.7.1.

This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability and the Office of National Statistics to support the ONS-Defra natural capital accounting programme in the UK.
description: The EMEP4UK atmospheric chemistry transport model calculated annual average concentrations and annual total for depositions for a model domain covering the UK with a resolution of about 5x6km2. The model is evaluated using the UK Automatic Urban and Rural Network (AURN)  monitoring stations (https://uk-air.defra.gov.uk/networks/network-info?view=aurn).

The data are processed from the full EMEP4UK model output to subset to a selection of variables only relevant for the vegetation removal work. The ncks nco command version 4.9.3 (nco - The netCDF Operators that comprises a dozen standalone command-line programs that take netCDF and/or DAP files as input) was used to subset the model outpus. R was used to access the AURN dataset to evaluate the EMEP4UK model output.
Your use of the content of this dataset is entirely at your own risk. We make no warranty or guarantee that the content is error-free or fit for your intended use.
DOI: 10.5285/2f835517-253e-4697-b774-ab6ff2c0d3da
title: Grid-to-Grid model estimates of river flow for Great Britain driven by observed data (1980 to 2011)

description: Gridded hydrological model river flow estimates on a 1km grid over Great Britain for the period Dec 1980 - Nov 2011. The dataset includes monthly mean river flow, annual maxima of daily mean river flow (water years Oct - Sept) and annual minima of 7-day mean river flow (years spanning Dec-Nov) (units: m3/s). The data are provided in gridded netCDF files. There is one file for each variable. 

To aid interpretation, two additional spatial datasets are provided: a) digitally-derived catchment areas and b) estimated locations of flow gauging stations both on the 1km x 1km grid. 

The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment; https://ukscape.ceh.ac.uk/, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.

description: This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca), daily min and max temperature (Met Office; http://dx.doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) and monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997). See Supporting Information for more details.
DOI: 10.5285/a46f0ac4-5ca1-4259-a4f8-d825b5d81d63
title: Tree census and above ground biomass variation in permanent forest monitoring plots along altitudinal and forest perturbation gradients in the Colombian Andes, 2017-2020

description: The data were collected between 2017 and 2020 from 27 forest monitoring plots (0.5 ha each) in five locations along an altitudinal (lowland, mid-elevation, and highland forests) and forest perturbation (low, medium, and high perturbation levels) gradient in Andean ecosystems in Colombia. The dataset includes information on tree diameter and height, scientific and family names following APG III, Above Ground Biomass (AGB), perturbation gradient, altitude, and plot code. The aim of this data collection is to investigate the factors influencing forest change across various gradients, and to evaluate the forest composition of these forests. This data set was obtained within the framework of the BioResilience project, a transdisciplinary investigation that seeks to understand the resilience of forest ecosystems after the post-conflict period in Colombia. 
description: The study conducted a tree census that included measuring tree diameter and height, calculating aboveground biomass, identifying species and families and plot code. A total of 26,387 trees were measured in the lowlands, midlands, and highlands. Yellow paint was used to mark optimal measurement points, and woody stems with a diameter greater than or equal to 5 cm were measured. Taxonomic identifications were made by collecting one botanical specimen per morphospecies and per disturbance gradient. The height of ten stems per plot was measured with a hypsometer, and manual estimates were used to calibrate the remaining stems. The tree height was estimated using the retrieve H function. Above Ground biomass was estimated using pantropical models, and the AGB was calculated using the equation proposed by Chave et al. (2014).