cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/1ee887d3-aabd-4fb7-b48e-056229a15c6f
title: Sub-hourly discharge data for the Siksik catchment, North West Territories, Canada from September 2009 to September 2010

description: Data comprise sub-hourly discharge measurements including mean stream height, discharge and stream temperature collected at station S2 on the Siksik stream, North West Territories, Canada, between September 2009 and March 2010. Measurements were taken at a field site based at SikSik Creek a small sub-catchment of the Trail Valley Creek, approximately 60km north of Inuvik.

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: Sub-hourly discharge data was collected from Station S2, Siksik stream, North West Territories, Canada at Longitude: 133. 26' 26" W, Latitude: 68. 44' 17"N Elevation: 85 metres, Watershed area: ~1 kilometre squared, time zone: Mountain Standard Time.
Records cover September 2009 and March 2010 and include sampling date and time (dd/mm/yyyy hh:mm (24 hour format)), water temperature (Degrees Centigrade), stream height (metres) and discharge (metres cubed per second).
DOI: 10.5285/2696535e-564a-4c6a-877e-515996fa97a1
title: UK museum specimen metadata and procrustes distance between left and right forewings, for five bumblebee species

description: Data comprise the collection label details of museums specimens for five bumblebee species (Bombus hortorum, B. muscorum, B. lapidarius, B. pascuorum and B. sylvarum) from five UK museums (Natural History Museum (London), National Museums Scotland, Oxford University Museum of Natural History, Tullie House Museum and Art Gallery, and World Museum (Liverpool)). 

The details include species, collector, date collected, location, and caste. The location for each specimen was geotagged using Google Maps’ Geocoding application programming interface. Each specimen had its left and right forewing landmarked, with the wing shapes aligned using a Procrustes alignment, and Procrustes distance between the wings calculated. 

The data came from a digitisation program as part of a NERC funded Standard Grant awarded to R. Gill (NE/P012574/1) and I. Barnes (NE/P012914/1).
description: Bumblebee museum collections were digitised (label data entered digitally, and dorsal images taken using an SLR digital camera). Bumblebees where all landmarks could be seen on the wings in the images were landmarked. For left and right wings showing high angle differentials or high degree of tilting, the respective specimens were filtered out from the analysis. Please see the documentation accompanying this dataset for further information.
DOI: 10.5285/010fa679-71d8-4b5e-b2fd-2d2ce78d02ef
title: Water chemistry and greenhouse gas emissions of UK water bodies, 2021-2022, from the LOCATE project

description: This dataset comprises water chemistry data for dissolved organic carbon (DOC), total dissolved nitrogen (TdN), total phosphorus (TP), soluble reactive phosphorus (SRP), absorbance at 254nm (Abs 254), specific ultraviolet absorbance (SUVA), and dissolved CH4, CO2, N2O collected at sites across the UK in 2021 and 2022. Data were obtained via collection of water samples in situ, and concentrations were derived via subsequent sample processing and analysis.

Floating gas collection chambers were deployed for 24 hours at selected sites to characterise diurnal greenhouse gas emissions from various types of inland water bodies and how these are affected by water body type and seasonality.

These data were generated from the Land Ocean Carbon Transfer (LOCATE) project
description: Sampling took place in July, August, and September of 2021. A subselection of sites were re-sampled in February and March of 2022 to ascertain seasonal variability. 

Samples were collected using a 60ml syringe and were either dispensed directly unfiltered or, filtered with a cellulose acetate filter into their relevant containers before being returned to the lab and either frozen or refrigerated before analysis.

Dissolved greenhouse gas samples were collected using the headspace method. This involves filling a 60ml syringe with 30ml of stream water and 30ml of ambient air and agitating it for one minute until equilibration of gases has occurred. The air sample is then injected into a sealed vial and returned to the lab for analysis.

All data were generated by the authors. During the generation of water chemistry data, calibration standards of known concentrations were used for quality control of instrument outputs.
DOI: 10.5285/31cc5cec-d33b-4dd6-a932-061ff947e708
title: Moth abundance and pollen transport from lit and unlit matched pairs of arable field margins in south-east England

description: This dataset contains information about moth abundance and pollen transport at sites lit by high-pressure sodium streetlights and unlit control sites. Moths were sampled at 20 matched pairs of lit and unlit sites within 40 km of Wallingford, Oxfordshire, UK (51°35' N, 1°8' W) during 2014, as part of a study of the effects of street lighting on moths and nocturnal pollen transport. Three sampling methods were used: night-time transects, light-traps and overhead flight activity surveys. Moths captured were identified, counted, and sampled for pollen transported on the proboscis, which was in turn identified and counted. 

The work was supported by the Natural Environment Research Council (Grant ID: NE/K007394/1).
description: Matched pairs of lit and unlit sites were identified for sampling using a fixed set of criteria (described in the supporting documentation, and sites within pairs were sampled on the same nights. Data on moth abundance, species richness and pollen transport were recorded in the lab using standardised methods (described in the supporting documentation) from samples collected in the field and stored at -20°C. All identifications of moths and pollen were made by C.J.M., using a range of available literature. Data were transcribed from lab notebooks to a purpose-designed relational database in Microsoft Access, via bespoke forms to support accuracy of data entry; this took place within 48 hours of recording. Following data entry, records were double checked to ensure accidental typing errors were removed. Data were exported into their current format to facilitate statistical analysis.
DOI: 10.5285/2efd24f9-e745-4f54-8bbd-6439b0ad93e5
title: River channel migration and characteristics from 1988 to 2019 at 74 bridges in the Philippines

description: The data set contains the Philippines bridge inventory, river migration geodatabase and source code to assess active river channel change (i.e. planform adjustments) using Landsat 5, 7 and 8 products in Google Earth Engine. The data set contains hydro-morphological and bridge characteristics for 74 bridges (> 200 m deck length) in the Philippines from 1988 to 2019 and is available in .csv and .shp format.  For a given region of interest (ROI), the code will extract active river channel masks, calculate similarity coefficients between active river channel masks at decadal intervals and calculate active widths and centreline statistics. The code was used by Boothroyd et al. (in press) to investigate decadal river migration at critical bridge infrastructure in the Philippines.
description: Bridge characteristics were derived from a geospatial database of Philippine bridges retrieved in April 2020 from the Detailed Bridge Inventory Application (DPWH, 2020). The database was filtered to include only permanent bridges where the bridge deck length was equal to or greater than 200 m (n = 256). A visual inspection was performed to ensure that bridges were located at contemporary river crossings (n = 182) and only those bridges where the active river channel width exceeded 150 m (equivalent to five Landsat pixels) were retained for analysis (n = 74).

Stream network and geomorphology characteristics were derived from a nationwide digital elevation model (DEM) acquired in 2013 and generated through airborne Interferometric Synthetic Aperture Radar, with a 5 m spatial resolution and 1 m root-mean-square error vertical accuracy (Grafil and Castro, 2014) was used for topographic analysis and extraction of the stream network.

Google Earth Engine (GEE) was used to extract active river channel masks from Landsat 5, 7 and 8 satellite imagery. The workflow contained three main processing steps: (i) cloud masking and temporal compositing; (ii) active river channel classification; and, (iii) cleaning and image export.
DOI: 10.5285/93bb37c6-ef86-4386-945d-c1a3d1e2683c
title: Component model iterations for inputs into a multi-scale model describing the effect of host conditions on Hendra virus shedding, eastern Australia, 2008-2019

description: The data provided here are model iteration objects and rasters needed to run the multi-scale modelling process and predict how the host condition affects probability of Hendra virus shedding.
The dataset contains predictions of three proxies for host conditions (including food shortage, rehabilitation admissions and formation of a new roost) across eastern Australia in 2008-2019. The Roost Species Distribution Model (SDM) has predictions of roost suitability. These are monthly, spatially explicit predictions of particular conditions or probability of roost occupations. The model objects are iterations of models that were initially trained on data held in figshare (https://figshare.com/s/ddb5a1584609b20f6596).
These data objects are linked with code provided at https://github.com/hanlab-ecol/BatOneHealth to be able to run the models and analyses. This includes comparisons of virus predictions of seven different multiscale model structures to observed Hendra virus shedding in field surveys. The purpose of this study was to determine if quantifying and incorporating host condition into epidemiological models improves predictions of virus shedding in space and time. The data objects relate to the 1,000 iterations run of this process to better able to account for uncertainty.
description: Each of the data objects (1,000 per component model) is related to training a component model using data sampled with replacement. These data objects are trained on field observations of host conditions (food shortage, rehabilitation admissions or formation of new roost) or locations and occupation of roost by black flying foxes (key Hendra virus host). Model parameters, predictor variables, and training are all described in the supplementary information. Each iteration only differs slightly in the training and testing data due to this resampling with replacement, allowing for slight variation in prediction among the runs.
DOI: 10.5285/4cc95ba0-1e1b-42c6-b58c-719583638bac
title: Ammonia measurements from passive samplers at Ballynahone Bog field site, Northern Ireland, 2022

description: This dataset consists of ammonia (NH3) measurements from a set of ALPHA (Adapted Low-cost Passive High Absorption) sampler sites at Ballynahone National Nature Reserve, a designated Area of Special Scientific Interest (ASSI), Special Area of Conservation (SAC) and Ramsar (wetland of international importance designated under the Ramsar Convention) site in Northern Ireland from January 2022 to December 2022. The park is an ammonia sensitive peatland ecosystem managed locally by Ulster Wildlife Trust (UWT). The data were originally collected due to concern that Ballynahone Bog may be adversely affected by NH3 emissions arising from local livestock installations.
description: Data collected from January 2022 to December 2022. Monthly local site operator duties are completed by UWT and monthly sample analysis is completed by UK Centre for Ecology & Hydrology Edinburgh.  
Data analysis and preparation is conducted using the AAGA data processing tool, in accordance to AAGA data processing procedure.
DOI: 10.5285/01ced3c2-17c6-4512-b73b-e065afed7bad
title: Post-fire microbial data (16S DNA) from burned peat soil on the Stalybridge estate (UK), October 2018

description: This dataset contains information on the Bacterial Amplicon Sequence Variant (ASV) abundance from peat soil sampled following a wildfire on the Stalybridge estate (UK) in June 2020. Samples were taken in 10 established plots at three time periods following the fire: approximately 3 months, 10 months and 12 months post-fire. This was taken at two depths: 0 – 5cm from the surface (top) and 5 – 10 cm from the surface (bottom). The 10 plots were divided into two groups of five, one that was observed to have suffered a light burn (termed shallow burn) and one that received a more severe burn (termed deep burn). Five additional plots were sampled at the same time as the 3-month samples from a neighbouring unburned site (termed control plots). Samples where no ASVs were observed were removed from the dataset. 
description: DNA was extracted from the peat soil using the QIAGEN DNeasy powersoil kit, following standard manual specifications.  The extracted DNA was then sequenced through the use of high-throughput sequencing, using 515F/806R primers that target the V4 region of the 16S rRNA. Results from the sequencing were then cleaned and prepared using the DADA2 pipeline to produce the ASV table.
DOI: 10.5285/ab6e6c87-0433-4b13-bf6c-24c81359cde3
title: Monthly ammonia measurements from passive samplers using ALPHA® PTFE1010 membrane at four UK Eutrophying and Acidifying Pollutants (UKEAP) network sites, 2021

description: Data comprise monthly ammonia air concentrations from UK CEH ALPHA® (Adapted Low-cost Passive High Absorption) samplers co-located with UKEAP DELTA sites for the period of time from January 2021 to December 2021. The UK Eutrophying and Acidifying atmospheric Pollutants (UKEAP) network measures air pollutants at rural sites across the UK. Originally the purpose of these measurements was for a calibrated ALPHA® uptake rate for the UK CEH Edinburgh research laboratory. Samplers are exposed in monthly cycles at the beginning of each month.
description: Local site operator duties are completed by UK Centre for Ecology and Hydrology (UKCEH) staff and Agri-Food and Biosciences Institute (AFBI) staff at Hillsborough and analysis is completed by UKCEH Edinburgh. Data analysis and preparation is conducted using the AAGA (Ammonia Acids Gases and Aerosols) data processing tool. AAGA is a database designed to introduce more reliable, reproductible and traceable way of handling data from ALPHA® samplers.
DOI: 10.5285/bb13cc09-5d6c-4f6a-bda8-de1915fa3cc0
title: Reproductive life-history data of blue and great tits from nestbox monitoring, Glasgow, UK, 2014-2022

description: This dataset contains information on reproductive events of blue and great tits recorded by manually inspecting approximately 300 to 500 nestboxes annually along a 35 km urban gradient in and around Glasgow, Scotland from 2014 to 2022. The datasets contain annually aggregated values per nestbox on clutch initiation, clutch size, number of hatchlings and fledglings. 
Data were collected to investigate the effects of urbanisation on daily activity patterns, reproductive traits and population dynamics of passerine birds.

description: We monitored an approximately 35 kilometre urban-non-urban gradient, with the extremes of the gradient being Glasgow city centre and Loch Lomond National Park, Scotland. This gradient has been monitored annually between 2014 and 2022 and has consisted of between five and twenty sites, depending on the year. 
Nestboxes were installed at all sites, approximately 50 metres from each other, with the number of nestboxes per site ranging from 5 to 161 dependent on the size of the site and the year of monitoring. During the breeding season (April – June) the nestboxes were monitored weekly through the nest-building and incubation stages. For each nestbox occupied by blue tits and great tits the first egg laying date was either directly observed in the field, or back calculated if the nest was found during egg laying but before incubation commenced, assuming one egg was laid per day. Clutch size was recorded as the maximum number of eggs observed during incubation. Fourteen days after incubation commenced nestboxes were checked every other day until chicks were observed. Thirteen days after hatching, chicks were marked with a unique metal ring. Nests were not checked again until at least 20 days after hatching to prevent premature fledging. At this final check, any dead chicks remaining in the nestbox were recorded and subtracted from the total number of chicks recorded alive 13 days after hatching to give the number of chicks that successfully fledged. 
At the end of every year data collected during that year was checked and uploaded on a central Access database. This database enables linking between datasets on reproductive attempts and individual bird information (mark-recapture data), both of which are deposited with the EIDC.
DOI: 10.5285/8816a55a-0e2e-4414-872f-3575170585dc
title: Plant biomass, nutrition, carbon flux and soil nutrients in common alder (Alnus glutinosa) grown on home and away soil from Aberdeenshire, Scotland

description: The data are derived from Alnus glutinosa plants grown in intact soil cores collected from beneath three co-occurring tree species.  The data describe plant above and below ground biomass, coarse and fine root biomass, colonisation of roots by Frankia and ectomycorrhizal fungi, ecosystem carbon fluxes, capture of 13C from a pulse labelling process, 15N content of leaves, and soil nutrients.  
description: Plants were transplanted into cores and grown in a controlled environmental facility. Soil nutrient data was collected from the cores using a combination of ion-exchange probes and acid digestion. A pulse labelling procedure was undertaken to provide 13CO2 to plants, and 3 days later the cores were dismantled and harvested. Analytical facilities were checked for quality control against known standards, and the entire dataset collated and scrutinised for outliers and unusual values.
DOI: 10.5285/ae8c850d-211e-4560-8b37-437b6e0e2a16
title: Surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a data from Blelham Tarn, 2014 to 2018

description: This is part of an ongoing long-term monitoring dataset of surface temperature, surface oxygen, water clarity, water chemistry and phytoplankton chlorophyll a from fortnightly sampling at Blelham Tarn in Cumbria, England that began in 1945 for some variables. The data have been collected by the UK Centre for Ecology & Hydrology (UKCEH). The data available to download comprise surface temperature (TEMP) in degree Celsius, surface oxygen saturation (OXYG) in % air-saturation, Secchi depth (SECC) in metres, alkalinity (ALKA) in µg per litre as CaCO3 and pH. Ammonium (NH4N), nitrate (NO3N), soluble reactive phosphate (PO4P), total phosphorus (TOTP), dissolved reactive silicon expressed as SiO2 (SIO2) and phytoplankton chlorophyll a (TOCA) are all given in µg per litre. Water samples are based on a sample integrated from 0 to 5 m. Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore, thus water samples were not integrated on these occasions, marked as Flag 2. All data are from January 2014 until the end of 2018.

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.
description: Measurements are made from a boat at a marked location (buoy) at the deepest part of the lake. When it was not possible to visit the buoy, samples were taken from the shore. Water samples are based on a sample integrated from 0 to 5 m. Samples were analysed in UKCEH laboratories.
DOI: 10.5285/4ed6f721-b23b-454e-b185-02ba54d551f0
title: Hydraulics data for the River Lambourn at Boxford, 2008 to 2014

description: A range of hydraulics data including stages and discharges were collected for the River and Leat at Boxford between 01/04/2008 and 30/09/2014. The River Lambourn is a tributary of the River Thames, the principal river in the south-east of England. The CEH River Lambourn Observatory comprises a 600 m reach of river and 24 acres of associated water meadows at Boxford, Berkshire. 
Data include:
  1. River flow gauging using Electro-magnetic Current Meter (ECM);
  2. Leat flow gauging using Electro-magnetic Current Meter (ECM);
  3. River flow gauging using Acoustic Doppler Current Profiler (ADCP);
  4. River stage boards readings (eleven Stage boards);
  5. Leat stage boards readings (six Stage boards);
  6. River stage at water quality station (WQS) using Druck PDCR 1830 Submersible Pressure Transducer;
  7. River stage at four stilling wells using SWS Technology Mini-Diver® Non-Vented Level Sensors with a built-in internal data logger (four locations);
  8. Time series river discharges at Boxford which are calculated from the relationship obtained between discharge measurements taken monthly at Boxford using ADCP and total river discharges at Shaw gauging station;
  9. Time series of the Leat discharges which are calculated from the relationship obtained between discharge measurements taken mo
description: Please read supporting document: Boxford_Hydraulics_Readme.csv
DOI: 10.5285/c397d6f4-96f4-4967-a0df-c64ef35ea572
title: Soil respiration under Miscanthus x giganteus and an adjacent barley crop

description: Data collected during a field experiment investigating the differences between greenhouse gas (GHG) fluxes under a bioenergy crop Miscanthus x giganteus and a conventional arable crop, barley (Hordeum vulgare) on adjacent fields. Measurements taken include soil respiration (Rs) measured using Licor automated chambers and infrared gas analyser (IRGA), from collars excluding aboveground vegetation but not roots. Ancillary measurements included meteorological variables (air temperature and solar radiation) and soil variables (soil moisture and temperature at 5 cm depth). Data were collected between May and September 2013.
description: Soil respiration (Rs) was measured using automated chambers and infrared gas analysers (IRGA, Licor LI-8100-101A, Lincoln NE, USA) with multiplexers (Electronic workshops, Department of Biology, University of York, York UK) beneath a seven year-old stand of Miscanthus and an April-sown spring barley in adjacent fields on a farm in the east of the United Kingdom, with one IRGA and one multiplexer deployed in each crop. Chambers (n= 6) were placed at random within separate plots at least 1.5 m apart in the two fields and were seated over PVC collars (diameter 20 cm, height 10 cm) which were inserted ca. 2 cm into the soil in order to minimise the effect of cutting fine roots and these remained in situ throughout the study, which was undertaken from May to August 2013. The chambers were programmed to close for two minutes during measurement, with a 30 second 'dead band' to allow for mixing of the headspace, in a continuous cycle between chambers. Collars did not exclude roots and no above-ground vegetation was included. Soil temperature and moisture at 5 cm depth were also measured every 15 minutes adjacent to each chamber collar and averaged over hourly intervals using vertically-installed sensors (Delta-T DL2 and GP1 loggers, SM200 soil moisture probes and ST1 temperature probes; Delta-T, Cambridge UK), and hourly meteorological data (solar radiation, air temperature) were recorded onsite using a weather station (WP1, Delta-T, Cambridge UK). Rs fluxes were calculated as linear regressions of CO2 concentration against time and corrected for volume and temperature using the manufacturer's software (see manufacturer's manual https://www.licor.com/documents/jtpq4vg358reu4c8r4id.pdf).