cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/52371ef0-855f-40c8-8567-f8965f9cbf03
title: Local tree names, uses and species identification in Mozambique

description: The dataset includes lists of local tree names, tree species identification and local uses of trees in seventeen different villages across three Districts in Mozambique, Africa. We collated species lists from seven villages in Mabalane District, Gaza Province, ten villages in Marrupa District, Niassa Province, and ten villages in Gurue District Zambezia Province. Data were collected in Mabalane between May-Sep 2014, Marrupa between May-Aug 2015, and Gurue between Sep-Dec 2015. Lists of local tree names were collated from several forest plots and agricultural field surveys occurring within the sampled villages, and their species identified in the field by the authors and/or from dried and pressed samples by botanists at the Universidade Eduardo Mondlane in Maputo. Tree species uses by local populations were recorded through a mixture of key informant interviews, focus group discussions, village surveys and ad-hoc observations. This dataset was collected as part of the Ecosystem Services for Poverty Alleviation (ESPA) funded ACES project , which aims to understand how changing land use impacts on ecosystem services and human wellbeing of the rural poor in Mozambique.
description: All data were quality assured by the first and second author. When in the field, all teams were trained in data collection methods to ensure consistent robust records. All field teams had a translator to translate from the local language to Portuguese or English. All observations recorded in Portuguese were translated to English by the lead author. If several different species were identified for the same local name a preference for the identification made in the field, rather than that of the dried sample, was made, as correct identification of whole trees are more likely to be correct. If identification was very uncertain, species were labelled as 'unknown'. Grouping all recorded local tree names and synonyms into similar sounding/spelled groups to assign a standardized local name was done by the lead for consistency.
DOI: 10.5285/4eb85182-6b40-47e9-bff6-4711750272c7
title: Herbivory and fungal infection data from Climoor fieldsite in Clocaenog Forest

description: This dataset includes data on the degree of herbivory and infection of the fungal pathogen, Valdensia heterodoxa, on the deciduous shrub Vaccinium myrtillus in the experiment plots at the Climoor field site in the Clocaenog Forest, NE Wales. Herbivory was measured in the summer of 2000, 2005 (control and drought plots only) and 2006. Fungal infection was measured in 2000, 2005 (control and drought plots only) 2006, 2007, 2008 and 2009. Measurements were taken at the same time as annual vegetative growth and flowering assessment at a time of maximal growth (late August- early September).
description: In late August to early September for the years included, 30 Vaccinium shoots were counted for the number of leaves on this years growth. The number of leaves that had signs of herbivory were counted, as were those showing signs of fungal infection. Measurements were recorded on field and labsheets and manually entered into the computer.
DOI: 10.5285/331659d7-da72-48a2-9b52-63c003557990
title: High resolution water quality and flow monitoring data coupled with daily and storm samples from the Loddon catchment (Sept 2017-Sept 2018)

description: This data set comprises of hourly water quality monitoring and flow data of a site within the River Loddon catchment, UK, from September 2017 to September 2018. Parameters measured were temperature, conductivity, pH, ammonium, turbidity, dissolved oxygen, UV-Vis spectral scan from 197-720nm. Daily samples were also taken at 9am GMT and occasional storm samples were taken hourly and then analysed in the laboratory for pH, conductivity, turbidity, total suspended solids, non-purgeable organic carbon, UV-Vis spectral scan from 200-800nm and 12 pesticide concentrations: 2-4-D, Bentazone, Carbendazim, Carbetamide, Chlorotoluron, Clopyralid, MCPA, Mecoprop, Metaldehyde, Propyzamide, Quinmerac and Metazachlor. 

This data was created as part of the TWENTY65 project, funded by the Engineering and Physical Sciences Research Council (Grant number: EP/N010124/1) and with some additional funding from Affinity Water and Syngenta. 
description: Water quality and flow data from the Bow Brook, a headwater tributary to the River Loddon. These data were collected via automatic sampling methods and then analysed either by on-site high frequency analysers or via laboratory analysis at the University of Reading and Affinity Water Limited laboratory (Staines-upon-Thames). The daily samples were usually collected weekly, and hourly storm samples were collected as soon as possible, and taken to the laboratory for analysis. Samples were stored in the fridge at 4°C on return to the laboratory and filtered within 48 hours of collection. For more details please see the supporting documentation.
DOI: 10.5285/36df244e-11c8-44bc-aa9b-79427123c42c
title: A land use map of Peninsular Malaysia for the year 2018 (25m grid)

description: Gridded land use map of Peninsular Malaysia with a resolution of approximate 25 meters for the year 2018. The map includes nine different classes: 1) non-paddy agriculture, 2) paddy fields, 3) rural residential, 4) urban residential, 5) commercial/institutional, 6) industrial/infrastructure, 7) roads, 8) urban and 9) others. 

The land use map was created as part of the project “Malaysia - Flood Impact Across Scales”. The project is funded under the Newton-Ungku Omar Fund ‘Understanding of the Impacts of Hydrometeorological Hazards in South East Asia’ call. The grant was jointly awarded by the Natural Environment Research Council and the MYPAIR Scheme under the Ministry of Higher Education of Malaysia.
description: The land use is based on detailed polygon land use data by state, obtained from PLANMalaysia (Department of Town and Country Planning, Malaysia). This polygon data was reclassified and rasterized. Gaps were infilled using the global CCI Land Cover map from the European Space Agency. Residential areas were split into rural and urban, as identified by the Global Human Settlement Urban Centre Database. Paddy fields were either derived from the detailed polygon land use data (where available) or located and vectorized by consulting rice cultivation maps. All analyses were completed in QGIS.
DOI: 10.5285/0e8a3212-3b7a-40b4-890b-4f6565aca87a
title: Vegetation chemistry data from Climoor fieldsite in Clocaenog Forest

description: This dataset includes vegetation chemistry data from the experimental plots at the Climoor field site in the Clocaenog Forest, NE Wales. It also includes data from material collected from outside, but nearby, the experimental plots. Both green and naturally senesced material was analysed between 1998 and 2010 (although not every year was included within this period). Where green material was analysed, only the current years growth was included in the sample. The dataset also includes analysis of different parts of the plants at the site, for example, Calluna vulgaris stems, Calluna vulgaris leaves. Plant species include Calluna vulgaris, Vaccinium myrtillus, Empetrum nigrum, Deschampsia flexuosa, Pleurozium schreberi. Determinants include carbon, nitrogen, phosphorus, potassium, calcium, magnesium, lignin, tannin, alpha-cellulose and carbohydrates. 
description: Vegetation chemistry was determined on both green and senesced material. When green material was analysed, the current year's growth was used. Samples were cut from areas of the plots using scissors, and transported in plastic bags back to the laboratory. In the laboratory, samples were sorted and checked, then oven dried at 75 degrees C overnight. Samples were then ground and sent to CEH Lancaster for chemical analysis. Vegetation chemistry was also assessed for senesced plant material collected in litterfall traps (7cm diameter pots, standing slightly proud of soil surface, collected and emptied bi-weekly), as well as on material collected from outside the experimental plots. Determinants include carbon, nitrogen, phosphorus, potassium, calcium, magnesium, lignin, tannin, alpha-cellulose and carbohydrates. Samples include: all higher plant species green biomass in 1998, 2000, 2001, 2003, 2008 and 2010, from plants in the experimental plots (sampled early Sept for each year). Senesced plant material in 1999, 2001, 2002, 2003 (pooled litter from the year combined and subsampled for each experimental plot). In 2000 and 2002, additional samples of different components of plants (i.e. stem, leaf, root) were analysed from areas outside the experimental plots. All chemical analysis was carried out in UKAS accredited labs in CEH Lancaster to standard protocols.
DOI: 10.5285/3d8bf867-fa2b-4273-b329-62b8f3ebed51
title: Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK, 2019-2021

description: This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2019 to 2021. 

The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. 

Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (DEFRA) contracts.

description: The Concentration Based Estimated Deposition (CBED) methodology generates maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network. The site-based measurements are first interpolated to generate maps of concentrations for the UK. The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition. Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban. The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the grid square, to generate values for grid square averaged deposition. Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation. For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats. 

Data processing was done using the R programme and results output as CSV files. These were then transformed in a suitable format for ingestion into the Environmental Information Data Centre.
DOI: 10.5285/1deb9ee0-a01c-4ce6-a5b0-a1ad32beeff7
title: Soil water chemistry data from Climoor fieldsite in Clocaenog Forest

description: This dataset includes a range of determinands present in soil water in the experimental plot at the Climoor field site in the Clocaenog Forest, in north-east Wales. Soil water was collected at two depths in the soil profile - approximately 5cm and 20cm. At the bottom of the rooting zone (approximately 5cm depth) zero tension lysimeters were used. At the deeper depth (approximately 20cm depth) ceramic cup suction samplers were used. Data were collected between October 1998 and March 2009 at two weekly intervals. Determinands include: pH, Ammonium nitrogen (NH4-N), Nitrate nitrogen (NO3-N), Sulphate (SO4-S), dissolved organic carbon, dissolved organic nitrogen, Calcium (Ca), Potassium (K), Magnesium (Mg), Sodium (Na), Phosphate phosphorus (PO4-P), Chloride (Cl), total dissolved phophorus and total dissolved nitrogen.
description: Soil solution was sampled below the rooting zone (5 cm depth) by 10 cm x 20 cm polyethylene zero tension lysimeters, installed in each of the plots in autumn 1998. Two lysimeters were installed in each plot and samples were bulked at each sampling interval (bi-weekly) to give a representative sample for the plot. Tensioned soil water samplers (Prenart super quartz, Copenhagen, Denmark) were also installed during autumn 1998, at a depth of approximately 30 cm within the mineral horizon, in each of the plots. Three tensioned soil water samplers were installed per plot, again samples were bulked at each sampling period (biweekly) to give a representative sample for each plot. Samples from both the zero-tension lysimeters and the tensioned soil water samplers were transported to the laboratory within 4 hours of sampling. The samples were filtered through a 45 micrometer cellulose nitrate filter, and stored at 4 degrees C before analysis. pH was measured on a Metrohm 888 Titrando fitted with a 20ml burette and 815 Robotic USB Sample Processor XL (Metrohm, Switzerland). Nitrate (NO3), chloride (Cl), sulphate (SO4) was determined using Dionex DX100 chemically suppressed ion chromatograph using carbonate eluant and AS4a columns (Dionex Corporation, Sunnyvale California 94088-3603 USA). Sub-samples were acidified with 2M HCl and sparged with oxygen to remove any inorganic carbon in the sample before analysis. The remaining non-purgeable organic carbon (assumed to be DOC) was determined with a Shimadzu TOC-V CPH (Shimadzu Corporation, Kyoto, 604-8511, Japan). Ammonium was analysed colormetrically using a SEAL AQ2 discrete analyser. Chemical analysis was carried out in the UKAS accredited labs in CEH Lancaster.
DOI: 10.5285/4a5a9140-96f1-4aee-b547-ef570238fdbd
title: Sulphur and nitrogen atmospheric Concentration Based Estimated Deposition (CBED) data for the UK, 2018-2020

description: This dataset provides Concentration Based Estimated Deposition (CBED) values of sulphur and nitrogen atmospheric deposition for 1x1 kilometres (km) grid squares of the UK averaged over the years 2018 to 2020. 

The data consist of deposition values for sulphur, oxidised nitrogen and reduced nitrogen, and base cations. Total deposition is the sum of four components calculated separately: wet deposition, dry deposition of gases, dry deposition of particulate matter and cloud droplet deposition. 

Habitat-specific data are provided for (i) moorland/short vegetation everywhere, and (ii) forest everywhere. Additionally, the grid square average over multiple land cover types (i.e. arable, grassland, forest, moorland, urban) is also calculated. The habitat-specific data are recommended for use with critical loads for the calculation of critical load exceedances. The work in generating and compiling the dataset has been funded by the UK Centre for Ecology & Hydrology (UKCEH) and various Departments for Environment, Food & Rural Affairs (Defra) contracts.
description: The Concentration Based Estimated Deposition (CBED) methodology generates maps of wet and dry deposition of sulphur, oxidised and reduced nitrogen, and base cations from measured concentrations of gases and particulate matter in air and measured concentrations of ions in precipitation. These data are collected at sites in the UK Eutrophying and Acidifying Pollutants (UKEAP) network. The site-based measurements are first interpolated to generate maps of concentrations for the UK. The ion concentrations in precipitation are combined with an annual precipitation map from the UK Meteorological Office to generate values of wet deposition. Gas and particulate matter concentration maps are combined with spatially distributed estimates of habitat-specific deposition velocities to generate dry deposition for 5 land cover categories: forest, moorland, grassland, arable and urban. The deposition to the 5 land cover categories are combined, depending on the relative proportions of different land cover categories in the grid square, to generate values for grid square averaged deposition. Dry deposition includes deposition of gases (Sulphur Dioxide (SO2), Nitric Acid (HNO3), Nitrogen Dioxide (NO2) and Ammonia (NH3) and particulate matter (sulphate, nitrate, ammonium, calcium and magnesium) to vegetation. For critical load exceedance calculations, deposition values for moorland are applied to all non-woodland habitats, and deposition values for forest are applied to all woodland habitats. 

Data processing was done using the R programme and results output as CSV files. These were then transformed in a suitable format for ingestion into the Environmental Information Data Centre.
DOI: 10.5285/eb7599f4-35f8-4365-bd4a-4056ee6c6083
title: Annual vegetative growth and flowering data from Climoor fieldsite in Clocaenog Forest

description: This dataset includes measurements of annual growth of the higher plant species in the experimental plots at the Climoor field site in the Clocaenog Forest, NE Wales. Years include 1999, 2000, 2001, 2003, 2004, 2006, 2007, 2008 and 2009, and in each the measurements were taken in August (at a time of maximum veteative growth at the site). Data include maximum shoot elongation, leading shoot length, and number of flowers, leaves and branches.
description: Maximum shoot elongation for the dominant shrubs was measured in late August in 1999, 2000, 2001, 2003, 2004, 2006, 2007, 2008 and 2009. 30 shoots of each of the following species were measured: Calluna vulgaris, Vaccinium myrtillus and Empetrum nigrum. For C. vulgaris, the leading shoot length (this years growth only) was measured, along with the number of open and closed flowers. For V. myrtillus, the leading shoot length (this years growth only) was measured, the number of leaves counted. For E. nigrum, leading shoot length (this years growth only) was measured as well as the number of branches in that years growth.
DOI: 10.5285/ef0bf96f-357b-4c7e-80e4-1a33903eecdf
title: Spring emergence data for the plant species Calluna vulgaris and Vaccinium myrtillus at the Climoor fieldsite in Clocaenog Forest

description: This dataset includes phenology (spring emergence) data from two of the dominant higher plant species in the experimental plots at the Climoor field site in Clocaenog Forest, NE Wales. Data includes shoot length extension and growth form for Calluna vulgaris, and shoot length, phenophase and location for Vaccinium myrtillus (please refer to supporting documentation for definitions). The data were recorded in 2000, 2002 and 2004.
description: Phenological development in spring was measured on 30 leading shoots randomly selected for C. vulgaris, V. myrtillus and E. nigrum in 2000, 2002 and 2004. Shoot extension was determined for the evergreen shrubs, C. vulgaris and E. nigrum. Measurements began in April and then continued over regular periods until maximum shoot elongation in September. For the deciduous shrub, V. myrtillus, budburst and phenophase were recorded as well as shoot elongation rate and number of leaves emerging, again from April until maximum growth in September. Phenophase for V. myrtillus was determined as: stage 1 - no signs of individual leaves within a bud, stage 2 - bud still closed, but individual leaves can be made out, stage 3 - bud starting to open, stage 4 - bud open by leaves not fully spread and stage 5 - leaves fully spread. Data was written down in the field, and manually entered into Excel files.
DOI: 10.5285/124ae988-41d3-4555-b704-5acc85633a05
title: Hourly micro-meteorological data from Climoor fieldsite in Clocaenog Forest

description: This dataset contains hourly micro-meteorological data from the experimental plots at the Climoor field site in Clocaenog forest, NE Wales. It runs from 11/9/2008 until 31/12/2013, and contains air temperature, soil temperature at two depths (5cm and 20cm) as well as soil moisture. Climoor is a climate change experiment which investigates the possible impact of increased temperatures and repeated summer drought on an Atlantic upland moorland. The experiment uses automatic roof technology to warm experimental plots by 0.5 - 1 degC and reproduces drought conditions in other experimental plots (July to September annually). In 2014, the Climoor experiment was the second longest running climate change experiment in the UK and data from the experiment has been used in several modelling exercises. The site was originally established under a EU consortium project - called CLIMOOR - where replica manipulation experiments were built in six European countries. As well as our site in North-East Wales (United Kingdom), there are identical sites in Denmark, the Netherlands, Sardinia (Italy) and Hungary. There was also a site in Catalonia (Spain). 
description: Data was transferred from loggers at the field site onto CEH Bangor's server via a remote telemetry system. Each morning, the previous days data was transferred via telemetry. An automated script transferred the data into the project shared area of the shared network drive. Data quality checking was done on a regular basis by an experienced member of the team who has worked at the field site and on data from the Clocaenog site for 14 years. Data was visually inspected using basic graphing tools, and erroneous values were removed, taking into account the weather at the site during the period in question. Data processing steps included using a macro to combine data from individual 24 hour periods into larger timed periods, then data was cut/pasted into raw data files. Data here is collated raw data, and has only had erroneous values removed.