cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/18023db5-25d8-44f7-b291-61869f937367
title: Operational taxonomic units for epilithon eukaryotes in the rivers Wolf and Tamar catchments

description: This dataset contains operational taxonomic units for epilithon eukaryotes (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wolf River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.
description: Epilithon (water samples): Approximate location of sampling sites was determined from maps to provide good spatial coverage of the Wolf River through to the Tamar River. Exact sites were determined in the field, considering accessibility and other logistics. The exact location of each sample site was determined using a Garmin GPS12. Three stones were taken from each of the 20 locations and epilithon removed from a defined area. Samples were kept in the cold and removed to the laboratory for analyses. DNA was extracted from all soil and epilithon samples using the MOBIO Powersoil 96 well DNA extraction kit. DNA was quality checked for purity and yield prior to submission for 454 pyrosequencing to assess both bacterial and eukaryotic biodiversity within each sample. Following bioinformatic sequence processing, sequencing were clustered into operational taxonomic units (OTU) and the data tables display the percentage of each OTU within each sample.
DOI: 10.5285/3834d477-7a1d-4ad3-8a41-d38fc727dbd8
title: Buildings, infrastructure, and population in the potentially impacted areas by glacier lake outburst floods of Tsho Rolpa, Nepal, 2020

description: The data consists of identified exposed objects subject to flooding risk from the Tsho Rolpa Lake. The Tsho Rolpa Lake is the largest moraine-dammed proglacial lake in Nepal and was identified as one of the country’s most dangerous glacier lakes with a high possibility of outburst.
description: Different glacial lake outburst flood (GLOF) scenarios are created using a simple dam breach model. A high-performance hydrodynamic model is then used to simulate the resulting flood hydrodynamics. Detailed socio-economic information is collected and processed from multiple sources including OpenStreetMap, Google Earth, and global data products to support exposure analysis. The exposure of objects was spatially identified by overlaying the predicted flood inundation maps and the relevant datasets that are processed and improved.
DOI: 10.5285/d3c98f24-7a4d-40b8-989a-6cc340e91cac
title: Soil fauna abundance under birch and willow vegetation in girdled and non-girdled plots, subarctic Sweden, 2019

description: Data comprise numbers of soil microarthorpods (mesofauna) extracted over 10 days from soils in northern, subarctic Sweden sampled on 29th July 2019. Soils were sampled from treeline mountain birch forest and stands of tundra willow that were wither 'girdled' (connection between leaves and roots cut by disrupting the phloem transport) or ‘control’ (no treatment), two years prior. 
description: Soils were sampled across all plots for microarthropods (Collembola and mites) on July 29th 2019. Within each plot, three 4.5 cm diameter soil cores were taken to the depth of the soil horizon (until rock or last clasts) within the central 3 x 3 m area of the birch plots, and across the willow plots. The mineral horizon of each soil core was removed and discarded, while the litter horizon was retained and pooled separately for each plot. Cores were inserted into tight fitting plastic rings to maintain soil structure for optimal extraction efficiency. The soil and litter samples were extracted for soil fauna using a Tullgren Funnel fauna extractor. 22 pooled soil and 22 pooled litter samples were placed at random under individual heat lamps (in order to avoid spatial biases in extraction efficiency) and left for 10 days to extract fauna into ethanol. At the end of the extraction the soil and litter samples were oven dried for 24 hours at 70 °C and weighed to determine soil dry weights. The fauna samples were preserved in 70 % ethanol prior to identification and quantification. Extracted fauna were counted and identified under a dissecting microscope to species level for Collembola using the key of Hopkin (2007) and to order level for Acari (Oribatid, Mesostigmatid, Prostigmatid). Other invertebrates were separated at higher taxonomic levels (e.g. Diptera, Coleoptera, Araneae etc.).
DOI: 10.5285/2977fc7b-f83e-4696-b06b-2f589ffa6965
title:  Dewaterability potential of anaerobic digestate and biomass ash blends using polymer dose approach

description: The dataset contains the chemical composition of anaerobic digestates derived from source-segregated food waste & agro-waste, with and without biomass ash, after the addition commercial polymer to enhance dewaterability. A preliminary experiment was carried to determine the type of polymer and its optimum dose (WP1A1). Then, polymer was added to digestate and digestate/ash blends, let react for short-time and physically separated into their fiber and liquid fractions (WP1A2). These experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. Preliminary experiment (WP1A1) contains data on polymer type, dose and mass added as well as supernatant and solids separated. Main experiment contain data on masses (dry & total solids), supernatant volume, pH and plant macro-nutrients profile (total concentration of Ca, Mg, P, K, TKN and S).
description: All data was generated by the authors, yet a share of it was obtained via externally accredited analytical laboratories. Data quality was checked by appropriate means (dependent on the parameter measured) but generally: reported values were above the detection limit of the method; measurements were within accepted tolerance range; samples were diluted and re-measured when out of calibration range and all calculation were checked for errors before data was deemed as definitive.
DOI: 10.5285/6ce61e91-6912-4fe2-a095-12136af86347
title: Monthly global methane emissions from natural wetlands modelled by JULES with dynamic vegetation (1980-2014) v1.0

description: This dataset is a model output from the JULES land surface model driven with the Watch Forcing Data methodology applied to Era-Interim (WFDEI) data. It provides monthly global methane emissions from natural wetlands on 0.5 x 0.5 degree grid between 1980-2014. It includes the following variables:
 - fch4_wetl: modelled methane flux from natural wetland, in mg CH4 m-2 day-1
 - fwetl: fraction of wetland
 - cs: soil carbon in each of these four soil carbon pools: decomposable plant material, resistant plant material, microbial biomass and humus), in kg m-2 
 - t_soil: sub-surface temperature of the four modelled soil layers (0-0.1 m, 0.1-0.35 m, 0.35-1.0 m and 1.0-2.0 m), in K
description: Data is produced by the JULES v 4.5 model. JULES was driven with the Watch Forcing Data methodology applied to Era-Interim (WFDEI) meteorological data. Ancillary data used in the simulation are:  (1) Van Genuchten soil properties from the Harmonised World Soil Database  (HWSD); (2) International Geosphere-Biosphere Programme (IGBP) land cover data; (3) High-resolution global topographic index values (Marthews, 2015; https://doi.org/10.5285/6b0c4358-2bf3-4924-aa8f-793d468b92be). JULES output was reprojected on to a 2D grid and the natural wetland methane emissions were scaled to give a global total of 180 Tg of methane in 2000 in post processing.
DOI: 10.5285/87114da4-3189-471f-9832-00b3e759232f
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) standing crop biomass on salt marsh sites at Morecambe Bay and Essex

description: The dataset comprises of above ground vegetation cut to ground level and dried to give indication of standing crop biomass in a 50 centimetre (cm) x 25cm area (taken within a 1metre (m) x 1m quadrat) . Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. All samples were taken during the winter and summer of 2013. 

This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme.
description: A 50 centimetre (cm) x 25cm area of above ground vegetation was taken randomly within each 1metre (m) x 1m quadrat, cut to ground level, then dried at 60 degrees Celsius for 72 hours to give an indication of standing crop biomass. Results were recorded onto field sheets. These data were transferred into an Excel file. Results were exported as comma separated value files for ingestion into the EIDC.
The location of the sample sites was determined by randomly allocated quadrats. Each site consisted of a rectangular area of saltmarsh between 400 x 500 m to 1000 x 1000 m in size, dependent upon saltmarsh length (parallel to shore) and width (perpendicular to shore), including part of the low, mid and high marsh zones. Twenty two 1 x 1 m quadrats were randomly allocated to each site rectangle using R (R Development Core Team, 2014) to specify four different spatial scales (A = 1 quadrat only, B = 3 quadrats at 1 m to 10 m apart, C = 6 quadrats at 10 m to 100 m apart, D = 12 quadrats at 100 m to 1000 m or site maximum).
DOI: 10.5285/0dd45f6f-0536-4ee3-9932-58bac019d2c6
title: Radiocarbon dating of soil organic matter fractions along grassland-to-forest conversion chronosequences across Scotland

description: The dataset contains the radiocarbon age of soil organic matter fractions collected along grassland-to-forest conversion chronosequences across Scotland. Soil samples were collected in summer 2018. 

In summer 2019, soil samples were fractionated and the radiocarbon age of bulk soil and soil fraction samples determined by accelerator mass spectrometry.
description: All data were generated by the authors. 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: 10.5285/4f3cf9f6-d7e5-4ae0-87c9-064b4e66a92a
title: Vertical profile data of light transmission in Atlantic forests along a disturbance gradient

description: The data set contains vertical profiles of diffuse light transmittance measured within six forest plots in montane Atlantic forest, São Paulo state, Brazil. The plots measured include intact, previously logged and secondary forest in a large continuous forest block of the Serra do Mar State Park (Parque Estadual de Serra do Mar), and two forest fragments outside the park. In each plot 10 - 12 individual light profiles were recorded; the data set contains these individual profiles and averages profiles for each plot based on both height above the ground and depth below the canopy. Each profile was measured only once. Data was collected March - November 2015 as part of the NERC Human modified Tropical Forest Programme.
description: This dataset is part of the NERC-FAPESP project ECOFOR. Data were collected from 4 plots in the Serra do Mar State Park (Nucleo Santa Virginia), and in two forest fragments on private land. Individual diffuse light profiles were produced by suspending a string of photosyntheticall active radiation (PAR) sensors from a tree branch. 10 - 12 profiles were collected per plot, and each profile was always at least 20 m from other profile locations. Sensors in the profile were separated at 1 m intervals. A reference open sky sensor was placed nearby. Sensors collected data from each profile for a minimum of 1 hour and maximum of 3 days, always including a period of diffuse light. Data were manually examined to identify diffuse periods, and for all records from diffuse periods the % light received compared to the open sky reference was calculated (% transmission). The mean % transmission across the diffuse period for each sensor was calculated to produce the light profile. Any missing values in the profile were interpolated or extrapolated. Average profiles for the plot were made using height above the ground and depth below the canopy top.
DOI: 10.5285/791f7613-c7a4-44e0-b197-53f92757f875
title: Blelham Tarn: Ecological and chemical lake profiles, and inflow and outflow chemistry 2016-17

description: This dataset consists of physical, chemical and ecological water quality variables collected at Blelham Tarn during 2016-2017. Profiles for the following variables were collected on a weekly scale during the stratified period of the lake and fortnightly or monthly timescales outside of the stratified period; light, chlorophyll a (phytoplankton biomass proxy), temperature, specific conductivity, phycocyanin (cyanobacteria pigment), pH and oxygen (mg/l and percentage saturation). The secchi depth was also collected at the same sampling frequency. Phytoplankton taxonomy and biovolumes were collected at 1-6 m June-November 2016 at a weekly interval. Nutrient profiles (nitrogen, phosphorus and silica) were collected on a monthly timescale in June-October 2016. In addition to lake data, samples from three lake inflows and the outflow were collected for nutrients (nitrogen, phosphorus and silica) at monthly intervals along with discharge. Water level and water temperature were also recorded at a 15 minute frequency at one inflow and the outflow. 
 


description: Lake samples were collected at the lakes deepest point (14.5 m; see supporting information) and stream samples were collected at the same point in the closest accessible location to the lake (please see the relevant supporting information for further details and site maps). Laboratory analysis for nutrients, chlorophyll a and phytoplankton taxonomy were performed using standard procedures with full methodologies being outlined in the supporting information. All data has been checked visually and any obvious errors as a result of instrument error have been removed.
DOI: 10.5285/3ca94e73-57dc-4fcd-afe2-82a4e491970a
title: River phytoplankton growth responses to organic nutrients with associated nutrient data from 25 rivers in GB

description: The data are from bioassay experiments from 25 river sites across Great Britain to investigate the growth response of river phytoplankton to different inorganic and organic nutrient additions and compare that to in situ nutrient concentrations. The data includes calculated growth responses to inorganic and organic nutrient additions, based on experimental incubations and background nutrient data collected from sites at the same time as water for the experimental incubations. 
description: Raw water samples were collected at each site on a single sampling occasion and kept at 4°C in the dark and transported to the laboratory within 48 hours. They were acclimatised in a constant temperature room at 20°C. Water was filtered through a 100 µm mesh to remove any zooplankton or large detritus present, 35 mL of sample was transferred to 50 mL boiling tubes. 12 different nutrient treatments were applied at approximately Redfield ratio [N: 90 µmol L-1 (1.261 mg N L-1) and P: 6 µmol L-1 (0.186 mg P L-1)] in triplicate to quantify growth responses to both organic N and P. These included: 1) a control with no addition of nutrients, 2) inorganic N only, 3) inorganic P only and 4) inorganic N and P, 5-8) four organic N additions and 9- 12) four organic P additions. Tubes were stoppered with foam bungs enabling gas exchange and incubated for 14 days at 20°C under a photon irradiance of 80 – 120 µmol m-2 s-1 (photosynthetically available radiation, Macam Q102) and an 18 h light, 6 h dark cycle.  After the incubation period, tube contents including biofilm were resuspended by scraping and vortex mixing before being filtered onto a Whatman GF/C glass fibre filter (nominal pore size 1.2 µm) and frozen. Filters were later defrosted, and chlorophyll a extracted in hot methanol and measured spectrophotometrically. Growth response was determined as a change in the concentration of chlorophyll a in the treatment relative to the relevant control calculated as a natural log response ratio. For the water chemistry data (measured in mg/L), a Skalar++ multi-channel continuous flow autoanalyzer (Skalar Analytical B.V., The Netherlands) was used to carry out inorganic nutrient analysis, including total and total dissolved N and P (TN or TP, TDN or TDP) following persulphate digestion of unfiltered and filtered (pre-leached 0.45 µm cellulose nitrate) samples respectively, and dissolved inorganic N (DIN), including total ammoniacal nitrogen (NH3 and NH4), or soluble reactive P (SRP) on filtered samples. Dissolved organic nitrogen (DON) and dissolved organic phosphorus (DOP), were determined by difference between TDN and DIN or TDP and SRP, respectively.

Data from these analyses were checked and entered into spreadsheets for later analysis.
DOI: 10.5285/a83ca49d-a78d-4c64-a646-68e44438a2b6
title: Soil treatment data from Sourhope field experiment site, Scotland, 1999-2002 [NERC Soil Biodiversity Programme]

description: This data set details the range of treatments applied to experimental plots at a field site at Sourhope, Scotland, between 1999 and 2004.  The data can be used in conjunction with other experimental data sets from the NERC Soil Biodiversity Thematic Programme site as an explanatory variable.  The NERC Soil Biodiversity Thematic Programme was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT8545019630).  During the experiment, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).  
description: Data were collected by staff employed by the Macaulay Land Use Research Institute (MLURI)  at the Sourhope experimental site before being transferred to the programme data manager at the Centre for Ecology & Hydrology.
DOI: 10.5285/38487932-b32a-4b15-9fda-ea812c463466
title: Management, yield, soil and vegetation data for oil palm smallholder farms in Sabah, Malaysian Borneo, 2019

description: This dataset details information collected from smallholder oil palm farms in Sabah, Malaysian Borneo. Including: management practices, oil palm fruit yield, understorey vegetation, and soil chemical properties (SOC, total N, total P and available P). We collected data between August to November 2019 from 40 smallholdings (defined as farms < 50 ha) across six governance areas in Sabah. We used responses from face-to-face questionnaires to collect information about their management practices, including Best Management Practices (BMPs), and reported Fresh Fruit Bunch (FFB) yields. We also carried out field surveys on these farms to quantify vegetation cover and soil chemical properties. All smallholder farms had mature fruiting trees i.e. > 8 years since planting.

The project received ethical approval from the Biology Ethics Committee, University of York (Ref. SGA201906), and permission from the Sabah Biodiversity Council (Ref. JKM/MBS.1000-2/2 JLD.8), Danum Valley Management Committee (Ref. YS/DVMC/2019/27), and South East Asia Rainforest Research Partnership (project number 18033) for permission to conduct our research in Sabah, Malaysia.

This work was funded by the NERC iCASE studentship (NE/R007624/1) and Proforest.
description: Field surveys and questionnaires were conducted from August to November 2019, in collaboration with local field researchers and organisations in Sabah. Permission was received from the Sabah Biodiversity council to conduct our research in Sabah. Smallholder farmers were randomly selected for inclusion within the study, with assistance from a local non-for-profit organisation. We received verbal and written consent from all farmers prior to conducting any field surveys or questionnaires. Out of the 40 smallholder farms in our study, 35 farmers had RSPO certification (Round Table for Sustainable Palm Oil) and 5 farmers were non-certified (farmers from the Tampenau village) at the time of sampling. 

Yield measurements were reported by the farmer during face-to-face questionnaires (estimated fresh fruit bunch yield of the farm per harvest or per month) and not directly measured values. Hence, they might be subjected to some degree of error and might not be an exact representation of the farm’s yield.

All vegetation survey information and soil samples were collected within a 0.28-hectare circular plot using a nested plot design, one plot per farm. Soil analyses were performed by Sabah Forestry centre in March 2020.
DOI: 10.5285/5fdccbe5-066b-4130-8431-d6389c31cea2
title: Concentrations of polybrominated diphenyl ethers (PBDEs) in sparrowhawk (Accipiter nisus) eggs in the UK

description: Data on long term trends in Polybrominated diphenyl ethers (PBDEs) in sparrowhawk (Accipiter nisus) eggs. Samples were selected from the Predatory Bird Monitoring Scheme (PBMS) Archive. Failed or abandoned sparrowhawk eggs were taken from nests by licensed egg collectors and archived as part of the monitoring activities of the PBMS in the UK. The period studied was 1985 to 2007. Data are presented in three tables including detected PBDEs, interpolated PBDEs and sample properties which are described in a metadata file. The Predatory Bird Monitoring Scheme (PBMS) is a long-term, national monitoring scheme that quantifies the concentrations of contaminants in the livers and eggs of selected species of predatory and fish-eating birds in Britain. 
description: Failed or abandoned sparrowhawk eggs were taken from nests by licensed egg collectors and archived as part of the monitoring activities of the Predatory Bird Monitoring Scheme (PBMS) in the UK. Egg weight, length and breadth were measured and the eggs were then blown or cracked open. The shells were washed, air-dried and reweighed, while the egg contents were homogenised and stored in glass jars at -20 deg C until analysed. 

Samples were selected from the PBMS archive for PBDE analysis based on the criteria of covering the longest temporal period in eggs from the smallest possible geographical area, which was found to be the region of England directly east and within 250 km of the Welsh border. 

Sampling years were determined by the availability of eggs in the archive, the criterion being that three to five eggs, each from a different nest, were available for analysis for each sampling year. There were sufficient eggs for ten sampling years that spanned the period 1985-2007. When more than one egg was available from any given nest, the egg for analysis was selected at random as laying order was not known.