cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/a37e6aa4-b003-49bd-9a16-619a7d0dd714
title: Soil pH and bulk density depth profiles in the Siksik catchment, North West Territories, Canada

description: Data comprise pH and bulk density measurements (location (longitude, latitude), depth, bulk density) for multiple soil profiles in the SikSik catchment, North West Territories, Canada. Samples were collected along a transect in September 2014. Soil samples were taken near additional soil pits. Soil depth and sampling location (latitude and longitude) was recorded. Bulk density was determined according to Blake and Hartge (1986). pH was determined with the 1:5 soil:water suspension method (see supporting documentation).

The data were collected under Project HYDRA, a NERC funded UK research project linking Heriot Watt University, the Universities of Durham, Aberdeen and Stirling, and the Centre for Ecology & Hydrology (CEH), Edinburgh. Project HYDRA is part of the UK Arctic Research Programme. Project HYDRA studies sites in Arctic Canada to investigate the biological, chemical and physical controls on the release of greenhouse gases from permafrost into melt water and to the atmosphere and how these emissions will influence global warming.


description: Soil samples were collected in September 2014 along a transect in the Siksik catchment, North West Territories, Canada (Longitude: 133. 26' 26" W, Latitude: 68. 44' 17"N Elevation: 85 metres). Soil pH and bulk density (in grammes per cubic centimetre) data was produced from the samples.
DOI: 10.5285/3dc020e5-fa39-4f14-ab6a-b8592b8332f3
title: Physical, chemical and biological data from peatland ponds, Pennines, UK, 2012-2014

description: Physical, chemical and biological data collected from peatland ponds in the Pennines, UK. Ponds sampled include those created during peatland rewetting as well as naturally-formed ponds. 

Biological data are aquatic invertebrate abundances in ponds, with physical and chemical data measured concurrently.
description: Macroinvertebrate samples were collected using a long-handled net (250 µm mesh). Two minute samples were collected from across all mesohabitats (i.e. open water, floating vegetation, littoral vegetation, bottom sediments) and then an additional one minute was spent searching for surface dwelling taxa. Percent vegetation coverage in each pond (primarily Sphagnum growth) was estimated visually on site prior to sampling.

Samples were preserved in 70 % methylated spirits and transported to the laboratory. After sorting, macroinvertebrates were identified to species level (where possible) under a light microscope (up to x40 magnification) using standard keys. Where Chironomidae abundance totalled >50 individuals, sub-samples were extracted (n=50) for identification to the lowest possible taxonomic resolution. Individuals were immersed in a solution of 10% potassium hydroxide and heated to 70°C for 10 minutes. The chironomids were then transferred into a solution of 95% glacial acetic acid for five minutes, then 80% methylated spirits for five minutes before being stored 100% methylated spirits. Individuals were mounted on slides using Euparal and identified using a compound microscope.

For each pond, the altitude (m) and location were recorded using a Garmin eTrex Handheld GPS Navigator. Aspect was later calculated by cross-referencing co-ordinates with the Ordnance Survey Terrain50 grid. Pond long axes, short axes and perimeters were measured on site with a tape measure. A minimum of 40 depth measurements were taken in each pond, with more measurements in larger ponds. The approximate water volume was estimated by multiplying the surface area (calculated by multiplying long and short axes) by mean depth. 

Dissolved oxygen (DO), water temperature and pH were measured on site using a portable HACH HQ30d meter, with the sensor placed in the upper 10cm of the water column. The pH sensor failed during month 12 sampling, therefore missing values were determined using the relationship between pH~[Mg] across all other samples (r=0.81). A 50 mL water sample was filtered on site (0.45-µm filter) and subsequently analysed for total nitrogen (TN), total phosphorus (TP), dissolved organic carbon (DOC), aluminium (Al), iron (Fe) and Silica (Si) using an Analytikjena multi N/C(R) 2100, a San++ Automated Continuous Flow Analyzer and a Thermo Fisher Scientific iCAP7600 Duo ICP-OES.
DOI: 10.5285/78408af3-452f-41af-95f3-ffc13b05c232
title:  Grassland arthropod trait and associated environmental data collected in arable reversion sites in southern England, 2014

description: This dataset contains arthropod species presence and abundance data, species trait data and environmental data for arable reversion sites in southern England. A chronosequence of 52 arable grassland restoration sites and five target National Nature Reserve grassland communities were sampled for arthropods in 2014.  These sites were located on calcareous soils. The majority of these sites were established as part of the South Downs Environmentally Sensitive Area (ESA), South Wessex Downs ESA, as well as through subsequent agri-environmental schemes including Countryside Stewardship or Higher Level agri-environment. Restoration sites ranged in age (1 to 30 years), habitat quality (e.g. sward structure and floral similarity to target grasslands), management (cutting and grazing) and surrounding landscape (isolation and cover of grassland). This environmental variation was captured and is included in the data set. Arthropods were identified across a wide range of trophic groups (detrititvores, herbivores, predators and pollinators). For arthropod species identified to species, information on functional traits is derived, including body mass, dispersal ability and trophic group.   
description: In 2014 52 arable reversion sites were selected within calcareous soils in southern England.  A further five national nature reserves representing pristine examples of the target community were also sampled. Within each site pitfall trapping, suction sampling and transect walks were used to sample bees (Apoidea), ants (Formicidae), butterflies (including Zygaenidae moths), hoverflies (Syrphidae), beetles (selected families of Carabidae, Coccinellidae, Staphylinnidae, Curculionidae, Apionidae, Chrysomelidae and Elateridae), plant/leaf hoppers (Auchenorrhyncha), true bugs (Heteroptera), spiders (Araneae), woodlice (Isopoda) and millipedes (Diplopoda). These species were identified to species. Functional traits were allocated to species to describe body mass, dispersal ability, trophic level and degree of grassland specialism. Site specific information on size, age, management (e.g. grazing and cutting) and surrounding landscape (e.g. distance to nearest patch of species rich grassland) were recorded.
DOI: 10.5285/d966ae7f-a29b-4c57-835d-f4efd0d65c88
title: Estimates of daily river flows for 95 catchments in Great Britain from the GR6J model under present and future climate scenarios, using large ensemble climate model driving data

description: This dataset contains GR6J  (which stands for modèle du Génie Rural à 6 paramètres Journalier) modelled daily river flow time series for 95 river catchments in Great Britain and driving data (precipitation and potential evapotranspiration calculated from temperature) from the EC-Earth Single Model Initial Condition Large Ensemble (SMILE) climate model. The large ensemble is based on the EC-Earth Global Climate Model (GCM) v2.3 and is run for present day (equivalent to present day climate with observed global mean surface temperature for the period 2011-2015) and pre-industrial plus 2°C and 3°C global warming conditions. In total, they make up 2000 years of data for each global warming level (i.e. 16 ensemble members x 25 realizations x 5 years = 2000 years). All ensemble members are pooled to form a continuous 2000-year time series of meteorological input and daily modelled river flows. 
description: The GR6J hydrological model (which stands for modèle du Génie Rural à 6 paramètres Journalier) is used to simulate river flows at 95 river catchments driven by the pooled continuous 2000-years input data (precipitation and potential evapotranspiration) from the EC-Earth large ensemble. Simulated river flows is obtained from using the best performing model run for each river catchment to drive GR6J hydrological models for each catchment. 
This dataset is produced as part of a PhD studentship supported by the Natural Environment Research Council via the SCENARIO Doctoral Training Partnership (grant no. NE/S007261/1).
DOI: 10.5285/1c4f835c-d243-4593-a9b4-71410b9b4bf0
title: Concentrations of polybrominated diphenyl ethers (PBDE) in UK sparrowhawk (Accipiter nisus) livers. Data from the Predatory Bird Monitoring Scheme (PBMS)

description: Data on concentrations of PBDEs found in the livers of 59 sparrowhawks that had died in the UK between 1998 and 2009. Samples were selected from the Predatory Bird Monitoring Scheme (PBMS) Archive. Archived livers from birds that had died between 1998 and 2009 from central England, directly east and within 250 km of the Welsh border, were analysed. Data are presented as one table and two supporting files containing metadata. 

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: Dead sparrowhawks from throughout Britain were collected by volunteers and submitted to the Predatory Bird Monitoring Scheme. Provenance, collection date, age, sex, body weight and body condition (assessed visually using a six point scoring system) were recorded and a necropsy was performed during which a putative cause of death was determined. Various body tissues were collected from each carcass, weighed and archived at -20°C. Whole liver and body weights were not obtained for all birds usually because carcasses had been partly damaged through trauma or scavenging, or organs were provided by taxidermists who had not recorded the body weight of the bird.

Archived livers from birds that had died between 1998 and 2009 from central England, directly east and within 250 km of the Welsh border, were selected. Sample selection was restricted to minimise potential confounding temporal and spatial variation. Selection of birds was further stratified such that individuals were representative of one of eight groups characterised by sex (male/female), age (adult/juvenile) and body condition (starved/non-starved birds). Juveniles were defined as birds that hatched in the current or previous calendar year while starved birds were those which, at post-mortem inspection, had a complete lack of fat deposits or at most trace amounts of fat typically around the heart but nowhere else. The numbers of birds in each of the eight groups varied between five and 11 and the total number of birds analysed was 59.
DOI: 10.5285/7f7c99c7-5457-444d-978a-fe7b01a85fd0
title: Distribution of ash trees within areas less than half a hectare in Great Britain

description: The dataset consists of a distribution map of ash trees (Fraxinus excelsior) within woodland areas of less than half a hectare across Great Britain. The data is derived from Countryside Survey 2007. Trees were mapped in 569 1km sample squares across Britain, and this national estimate dataset was derived from the sample data using ITE Land Classes.
description: Data were collected as part of the Countryside Survey monitoring project in 2007. Data were collected from 591 1km sample squares and scaled up to national estimates using the ITE Land Classification. See supporting documentation for further information.
DOI: 10.5285/6c95ed4f-bf16-40bb-8a16-ceb56aab1986
title: Ecotoxicology data of coastal plants (Plantago coronopus) following exposure to microplastics and seawater inundation

description: This dataset contains ecotoxicological measurements of coastal plant species Plantago coronopus, following exposure to microplastics and seawater inundation. The variables measured include mortality, growth, reproductive output, necrosis and photosynthetic efficiency, recorded over a total duration of 64-days. 
This dataset was created as part of an experiment to investigate the effects of exposure to commercial pre-production biodegradable (polybutylene adipate terephthalate, PBAT) and conventional (Polyethylene terephthalate, PET) microplastics (0.2 % w/w). 
Work was supported by the NERC funded BIO-PLASTIC-RISK project, grant NE/V007556/1.

description: A 3 x 2 factorial experiment was conducted to examine the effect of combined exposure to microplastics (3 levels: none/conventional/biodegradable plastics) and seawater inundation (2 levels: presence/absence) affected the growth, stress responses and reproductive potential of P. coronopus (n = 10 per treatment).
Throughout the experiment, measures associated with plant health: mortality and proportion of necrotic tissue (visually scored) were recorded. Quantum efficiency of Photosystem II (Fv/Fm) was measured throughout (plant efficiency analyser chlorophyll fluorimeter (Pocket PEA, Hansatech Instruments, UK)). The number of flower spike and the root:shoot ratio were determined when the experiment was terminated. 
This dataset comprises 2 files Plantago_data.csv, and Plantago_data_necrosis.csv. details of their structure are provided in the accompanying README document.
DOI: 10.5285/ab13a06f-392f-4bc6-b1bf-06dd8b020307
title: Peat depths from the Pastaza-Marañón Basin, Amazonian Peru, 2019-2020

description: Data on peat depth from >250 locations in the Pastaza-Marañón Basin, Amazonian Peru. The data were collected during a series of field campaigns in 2019 and 2020. These data, along with similar data collected under other projects, were used to train a predictive model of peat distribution. Locations of a small number of other sites are given without peat depth measurements (i.e. with NA in the column Peat_depth_cm); these sites relate to data reported elsewhere in the ‘Carbon Storage in Amazonian Peatlands’ data collection.
description: The data were collected in a series of field campaigns. Peat depth was measured by coring with a Russian-type or gouge auger. Location was recorded using a handheld consumer-grade GPS receiver. Qualitative observations of traces of human impact were recorded when they occurred.
DOI: 10.5285/33b6dea2-94c5-4e33-a1b3-9a6bd1c8776a
title: Acoustic monitoring data from woodland, grassland and rewilding sites in Scotland and England, 2021-2022

description: This data gives acoustic index values for recordings collected in 60 broadleaved woodland restoration sites in Central Scotland (n=30) and the English Midlands (n=30), as well as 18 grassland sites in southern England. Additionally, there are recordings from 6 wildcard sites, made up of ancient woodlands (2 in Scotland and 2 in England) and rewilding sites (2 in England). There were three deployments of acoustic recorders between July 2021 and April 2022. 
description: At each site, AudioMoth acoustic recorders were deployed for one week per deployment. The 30 woodlands in Scotland were surveyed in a first deployment between July and August 2021, and a second deployment in September 2021. All 84 sites across Scotland and England were surveyed in the third deployment in April 2021. 
The same settings were used for each deployment; a sample rate of 48kHz was used, and AudioMoths recorded for 9 minutes and 55 seconds, then slept for 5 seconds, allowing nearly continuous recording throughout the week-long deployment. 
The recordings were then analysed using R to calculate the following acoustic indices in the packages seewave and soundecology.
•	Acoustic complexity index (ACI)
•	Acoustic diversity index (ADI)
•	Acoustic Evenness (AEve)
•	Bioacoustic Index (Bio)
•	Frequency Peaks (FP)
•	Temporal Entropy (Ht)
•	Spectral Entropy (Hf)
•	Total Entropy (H) 
•	Median of the Amplitude Envelope (M)
•	Normalised Difference Soundscape Index (NDSI)
Additionally, Acoustic Richness (AR) was calculated, using the Ht and M indices.
DOI: 10.5285/57943561-4587-4eb6-b14c-7adb90dc1dc8
title: Monthly Dissolved Organic Carbon (DOC) concentration time series (1883 to 2014) measured at the outlet of the Thames basin (UK)

description: The dataset consists of the world's longest fluvial dissolved organic carbon (DOC) record (1883-2014). The data have been measured at the outlet of the Thames basin, upstream of London (UK) and are reported monthly. The River Thames basin is a temperate, lowland, mineral soil-dominated catchment of 9,948 km2. Water colour data have been measured between 1883 and 1990, and DOC between 1990 and 2014. DOC until 1990 has been estimated through calibration between water colour and DOC for the period 1899-1905 when OC measurements were available. The fluvial DOC concentration shows an upward trend throughout the period. The data are presented as one table and one supporting file containing metadata and are summarised and presented in the Journal of Geophysical Research - Biogeosciences doi: 10.1002/2016JG003614.

description: Water color data and DOC concentration measurements (> 20,000 samples) were obtained by statutory authorities between 1883 and 2014 for the Thames at Hampton (51.42°N, 0.37°W) and at Teddington (51.43° N, 0.33° W), respectively. Water colour between 1883 and 1974 was measured following the method presented in Thresh et al., (1943). While water colour (1974-1990) and DOC (1990-2014) measurements were defined within the establishment of the Harmonised Monitoring Scheme. A detailed description of the datasets, including methodology and discussion of the findings can be found in the following peer-reviewed article: Noacco, V., T. Wagener, F. Worrall, T. P. Burt, and N. J. K. Howden (2017), Human impact on long-term organic carbon export to rivers, Journal of Geophysical Research - Biogeosciences https://doi.org/10.1002/2016JG003614.
DOI: 10.5285/cc4679fd-02c1-4dd1-8aca-201ca9caaf9a
title: Bioavailability and toxicity of nanomaterials in sewage sludge to earthworms

description: Data comprise earthworm survival and weight change data after 28 days exposure to nanomaterials and reproduction data after 56 days exposure.  Concentrations of zinc and silver in extracted soil pore water and ultra-filtered pore waters are reported as well as pH and dissolved organic carbon data. The body concentration of zinc, silver and titanium in three earthworms from each replicate after 28 days exposure are included.

Data were generated from a laboratory exposure experiment of earthworms (Eisenia fetida) to soil amended with sewage sludge. The sewage sludges were from a wastewater treatment plant (WWTP) treated with nanomaterials (ENMs) or metal/ionic salts. Sewage sludges were generated with either no metal added to the WWTP influent (control), ionic ZnO, AgNO3 and bulk (micron sized) TiO2 added (ionic metal-treated) or ZnO, Ag and TiO2 ENMs added (ENM-treated). A sandy-loam soil was amended with the treated sewage sludge and aged in outdoor lysimeters for six months. Earthworms were exposed to the aged mixtures and a dilution of the mixtures (using control soil-sludge mix).
description: Data were generated from a laboratory exposure experiment of earthworms (Eisenia fetida) to soil amended with sewage sludge. The sewage sludges were from a wastewater treatment plant (WWTP) treated with nanomaterials (ENMs) or metal/ionic salts. Sewage sludges were generated with either no metal added to the WWTP influent (control), ionic ZnO, AgNO3 and bulk (micron sized) TiO2 added (ionic metal-treated) or ZnO, Ag and TiO2 ENMs added (ENM-treated). A sandy-loam soil was amended with the treated sewage sludge and aged in outdoor lysimeters for six months. Earthworms were exposed to the aged mixtures and a dilution of the mixtures (using control soil-sludge mix). 

Data comprise earthworm survival and weight change data after 28 days exposure to nanomaterials and reproduction data after 56 days exposure. The concentrations of zinc and silver in the extracted soil pore water and ultra-filtered pore waters are reported as well as pH and dissolved organic carbon data. The body concentration of zinc, silver and titanium in three earthworms from each replicate after 28 days exposure are included.
DOI: 10.5285/0a77d3b5-03ce-4a14-ab2d-acc4aa7bd0ef
title: Genome size, phenotype and population location data for British native eyebrights (Euphrasia) 

description: This dataset includes information on native eyebright plants (Euphrasia, Orobanchaceae) studied and measured at a range of sites across Britain and Ireland, with a special sampling focus on Fair Isle (Shetland, Scotland). 
Attributes measured are location information (Euphrasia species, coordinates and population description), individual plant trait data (including measures of floral and vegetative traits) and genome sizes. 

description: Population location information was recorded on site and retained in a local database. Trait data was recorded both in the field and in a common garden experiment using wild collected seeds planted under standardised condition in the nursery at the Royal Botanic Garden Edinburgh (RBGE). Traits were measured in the field at a single defined sampling date and in the common garden on the date of first flowering and at the end of the flowering season. Genome size estimates were made from wild collected tissue samples sent to RBGKew, where genome sizes were estimated with flow cytometry using propidium iodide (PI)-stained nuclei and with the internal standard Oryza sativa ‘IR36’, and stored in a local database.
DOI: 10.5285/f03806fa-3596-4119-90c5-70254f39cfc0
title: Bending strains on the trunks of trees on Barro Colorado Island, Panama, 2022

description: This dataset contains time-series measurements of trees bending in the wind. The data was collected in 2022 in Barro Colorado Island, Panama. 105 trees were measured, with two sensors per tree recording bending strains at 4 Hz.

This data was collected for the purpose of estimating the risk of wind damage to these trees. It could also be used to estimate the fundamental sway frequencies of the trees, and how they change over time, which varies with leaf phenology and tree water content. There are lots of short data gaps due to transmission issues in the forest.
description: Bending strain sensors were designed and installed on the trees in Barro Colorado Island, Panama. These sensors recorded the bending strain (in mV) at 4 Hz resolution and transmitted it (in binary format) to a data logger where it was saved on an SD. 
The data was collected from the SD cards and converted from binary format to csv files. The mV measurements were converted to bending strain by multiplying by a fixed calibration coefficient. This 4 Hz bending strain data is provided here.