cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/be5639e9-75e9-4aa3-afdd-65ba80352591
title: Bird Vocalisation Activity (BiVA) database: annotated soundscapes from the Chernobyl Exclusion Zone

description: Data comprise audio files captured using a Wildlife Acoustics SM3 Songmeter located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens) in the abandoned village of Buryakovka in the Chernobyl Exclusion Zone, Ukraine. A single continuous recording of twelve hours of audio from midday until midnight on the 25th June 2015 was manually annotated by an expert (using Raven Pro interactive sound analysis software). The dataset comprises the resultant five wave files (stereo .wav sampled at 48 kHz) and five annotation files (text files with the same name as the associated wave file). 
description: Audio was captured from the abandoned village of Buryakovka in the Chernobyl Exclusion Zone, Ukraine; 51,382269, 29,924879 (WGS84).  A single Wildlife Acoustics SM3 Songmeter was located on an overgrown unpaved road close to several abandoned houses with deciduous trees (including fruit trees in former gardens). A single continuous recording of 12 hours of audio was made using the SM3's built-in microphones on 25/06/2015 from midday until midnight. The audio was manually annotated by a single expert using Raven Pro. Files are stereo, wav files sampled at 48 kHz.  Five wav files are included and tags are stored in five text files with the same name as the associated wave file. Annotations are only made on channel one.
DOI: 10.5285/2efac82b-2438-4806-999d-374663210c34
title: Modelled arable area, net primary productivity, runoff, irrigation demand for Great Britain 1998-2008 and 2100 under high-end climate change

description: The dataset contains model output from the land surface model JULES and the econometric agricultural land use model ECO-AG, at kilometre scale resolution over Great Britain for 8 different scenarios using unmitigated climate change. Modelled arable area, net primary productivity, runoff and irrigation demand are provided for scenarios combining and isolating the effects of climate, CO2 and irrigation. The driving climate data used to drive the models is from Regional Climate Model runs performed for the period 1998-2008 and for an eleven year period at 2100 for CO2 levels corresponding to the unmitigated Regional Concentration Pathway RCP8.5. 
description: JULES is a community developed land surface model, led by the UK Met Office and Centre for Ecology & Hydrology. The data produced using JULES was model version vn4.9 and the model configuration can be found on the Rose suite u-ao645 under the branch ‘full_UK’, available from https://code.metoffice.gov.uk/trac/roses-u.

ECO-AG outputs have been produced using an approach at the heart of the UK National Ecosystem Assessment and UK NEA Follow-On studies. The data is produced on a 2km grid square (400 hectares) over Great Britain. The land use data are derived from the June Agricultural Census panel (www.edina.ac.uk) collected on a 2km grid square basis over the entirety of GB for ten unevenly spaced years from 1972 to 2010. The approach and input data has been widely peer reviewed and discussed.
DOI: 10.5285/592051e6-016f-49c6-9ef9-799a0f842100
title: Oil palm frond litter decomposition rates in Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) plots, Kandista and Ujun Tanjung estates, Indonesia

description: Data comprise weight (grams) of dried oil palm (Elaeis guineensis) frond litter remaining in a variety of litter bags after 10, 30, 60 and 90 days buried under the litter layer in oil palm plantations located in Riau Province, Sumatra, Indonesia. The bags all initially contained four grams of dried oil palm frond cut into 2 cm sections and the bags were oven-dried at 70oC to a constant weight. The plantations consisted of mature oil palm (data from 2014), and mature and replanted oil palm (data from 2016-2017) plots which are part of a large-scale ecological experiment programme (the Biodiversity and Ecosystem Function in Tropical Agriculture project, established in 2013). 

Eighteen plots were examined across three estates – plots in Ujung Tanjung and Kandista estates were planted in 1987 to 1992 and are mature or over-mature oil palm, while Libo plots (2016-2017 dataset only) were replanted in 2014. Plots were organised in triplets and in Ujung Tanjung and Kandista, for each triplet one plot was assigned to each of three vegetation treatments: reduced vegetation cover, normal vegetation management and enhanced vegetation cover.  

There were three types of litter bags: fine mesh, 2mm mesh, and fine mesh with four 1 cm holes. Decomposition was measured six times from 2013 to 2017, including a reduced protocol in May 2016 at the peak of an El Niño Southern Oscillation (ENSO) related drought.

The project 'Managing tropical agricultural ecosystems for resistance and recovery of ecosystem processes' was funded by the Natural Environment Research Council under NE/P00458X/1.
description: Decomposition was measured seven times from 2013 to 2017 (start point of collection period: February 2013, February 2014, July 2016, October 2016, February 2017 and May 2017). Samples were weighed using the same balance each time, at the SMARTRI Libo research station, near Pekanbaru, Indonesia and the samples remain stored there at the time of data submission. Basic data checks were carried out (checks for impossible values, such as sample collection dates occurring before sample deposit dates). We have error-checked 50% of the 2016 to 2017 data entry against the original field sheets, finding an acceptable error rate of <1% and correcting errors when we encountered them. All changes were recorded and that information remains with the dataset.
DOI: 10.5285/f4292d99-de93-4a28-a821-b2a6a826df4c
title: Outburst flood simulations of various dam failure scenarios from Tsho Rolpa glacial lake, Nepal, 2020

description: This dataset contains maximum water depth and maximum water velocity for 12 different Glacial Lake outburst floods (GLOFs) scenarios of the Tsho Rolpa Lake, Nepal. Also included is the water depth of dam breach flow and discharge of dam breach flow under each scenario. The GLOFs scenarios were created using a simple dam breach model. A high-performance hydrodynamic model was then used to simulate the resulting flood hydrodynamics.
description: A commonly used empirical breach model was adopted to represent the dam breach formation process caused by overtopping. The breach was assumed to start from a small channel formed at the dam crest (initial breach) and grows into a trapezoidal shape with a side-slope of 1:1 during the time of failure. The model further assumes an initial breach depth and a final breach depth, which can be quantified and prescribed according to current dam conditions. A fully hydrodynamic model based on the 2-D depth-averaged shallow water equations (SWEs) was adopted to predict the flooding processes driven by the flow out of the breach of the moraine dam.
DOI: 10.5285/c3295206-052a-4c87-911a-75d357791b5c
title: Tree census data from secondary subtropical forests invaded by Ligustrum lucidum, Horco Molle, Argentina, 2020-2023

description: The data resource consists of tree census data and shapefiles about plots established on invaded sub-tropical mountain secondary forests (Yungas) in the Horco Molle experimental reserve and Parque Sierra de San Javier (Horco Molle), Tucumán, Argentina. An experiment was conducted to investigate management control of the invasion of nonnative species Ligustrum to restore native tree diversity from June 2020 to November 2023. 

The data includes the census of 6 plots (240 metres by 140 metres, 3.36 hectares for each plot, the location specified in the shapefile), with arbitrary coordinates (x for the longest side and y for the shortest) to assess the location of each tree. For each tree stem,  a tagged ID was assigned and the species recorded, the presence of secondary stems, its perimeter at breast height, the number of small stems, the number of death stems, stem shape and stem fusion.

The work was carried out as part of NERC grant NE/S011641/1 Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management
description: The tree census data were part of a field experiment of management of secondary forests affected by Ligustrum lucidum invasion by establishing 6 permanent plots of 240 metres by 140 metres each (3.36 hectares, see included shapefile). Plots were established in pairs (3 pairs in total), where one element of the pair was assigned as the null scenario (no actions applied), and the other was the control (L.lucidum control and native tree planting). Before management actions, a census was conducted, including all the trees with perimeters equal to or more than 15.7 cm Perimeter at Breast Height (PBH) tall in the inner area (1.2 hectares) and all the trees equal to or greater than 31.4 cm PBH for the rest of the plot.
Trees were identified at the species level for most cases, using field guides and supported by local experienced taxonomists.
The plots were mapped using a GPS device (Garmin Etrex Vista HCX) and posterior visual correction using the Qgis platform and Google Hybrid satellite image of the area. Data were exported a Shapefiles for deposit into the Environmental Data Information Centre (EIDC) Data were recorded onto field sheets, transferred into spreadsheets and exported as comma separated value (CSV) files for deposit into the EIDC.
DOI: 10.5285/f5fc1041-e284-4763-b8b7-8643c319b2d0
title: Grid-to-Grid model estimates of river flow for Northern Ireland driven by observed data (1980 to 2011)

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

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

The data were produced as part of UK-SCAPE (UK Status, Change And Projections of the Environment, Work Package 2: Case Study - Water) a NERC-funded National Capability Science Single Centre award.
description: This dataset is a model output from the Grid-to-Grid hydrological model (Bell et al. 2009; https://doi.org10.1016/j.jhydrol.2009.08.031) driven by observed data. The meteorological variables used were: 
 - daily precipitation (CEH-GEAR; https://doi.org/10.5285/33604ea0-c238-4488-813d-0ad9ab7c51ca)
 - daily min and max temperature (Met Office; https://doi.org/10.5285/2a62652a4fe6412693123dd6328f6dc8) 
 - monthly 40km grids of PE for short grass (MORECS; https://doi.org/10.5194/hess-1-227-1997)

See accompanying documenation for more details.
DOI: 10.5285/45391184-603e-4284-bb3c-9c8c6bf856ab
title: Chick behavioural responses to 3D-printed insect replicas, featuring combinations of traits from wasps and flies

description: These data describe individual behaviour during an experiment investigating chick responses to different trait combinations in 3D-printed insect replicas. Replicas were based on various combinations of shape, pattern, colour and size traits taken from either non-mimetic flies (Tachina fera) or wasps (Vespula vulgaris). Data describe chick progress through several phases:
-	A grouped phase where chicks became familiar with foraging within the experimental arena
-	A training phase, during which they open lids of small dishes and consume mealworms, 
-	A learning phase, where the chicks learned to associate fly stimuli with a reward and wasp stimuli with no reward 
-	A testing phase, in which they were presented with single stimuli at a time and we recorded the time taken to approach and attack the stimulus.
Also included are chick growth curves (daily weights in g) for the period of the experiment.

description: Behavioural observations were noted in the laboratory at the time of the experiment, and later transcribed from notebooks to digital spreadsheets. Timings were analysed from video recordings played at 0.3x using the software BORIS. Quality control and collation of data was carried out within R v.4.3.2 before export to .csv
DOI: 10.5285/7b2eb903-e513-4210-a073-fddb6aa73291
title: Extent and tree species composition from a Scottish deciduous woodland survey, 1976-1979

description: A survey of the extent and species composition of the deciduous woodlands of Scotland (including those with some admixture of conifers) was undertaken between 1976 and 1979, by the Institute of Terrestrial Ecology, funded by the Natural Environment Research Council and the Nature Conservancy Council. A census of deciduous woodlands in Scotland was made (as marked on British Ordnance Survey (OS) maps, 7th Series 1:63,360), between 1976 and 1979. A desk-based map search was undertaken in the first instance, followed by field ground-truthing.
description: The data were originally collected by members of staff at the Institute of Terrestrial Ecology, first as a desk-based exercise, and then during a field survey. A data rescue exercise was undertaken to re-digitise the data from the raw data sheets between 2019 and 2023.  Quality checks were undertaken both at the time of the field collection, and later following data entry. Further detail is available in the supporting documentation.
DOI: 10.5285/cee99bc4-15f7-42a0-bbbc-d3085ebfa486
title: Acoustic bat data, Cairngorms 2014

description: This dataset provides nightly values for activity of two Pipistrelle bat species (Pipistrellus pipistrellus and Pipistrellus pygmaeus) with associated weather and weekly potential food resource data. Bat activity was recorded continually on three ultrasonic acoustic loggers for 185 days (31/04 to 01/11/2014) in an upland pine forest in the Cairngorms National Park, Scotland.
description: Cross-checking accuracy of auto-identification software was crucial, and prior to use a 1000 records were cross-checked, and no mis-identifications of target species found. For continuity Pipistrelle bats left unresolved were assigned to species using 50KHz as the species delimiter. Wind direction cardinals was calculated from degrees using the following equation in Microsoft excel (=CHOOSE(INT(MOD(((WindDir*100) +1125),36000)/4500)+1,"N", "NE", "E", "SE", "S", "SW", "W", "NW"), whilst cloud base categories were established using the following equation (=IF(CloudBase<350,"Fog",IF(CloudBase >650,"High","Low")). Bat activity data was expressed as passes per hour, and was calculated by the total number of passes/hours in night.
DOI: 10.5285/0c123d4e-186f-48f5-8580-d0696b247287
title: Abundance of plant taxa on Norwood Farm, Somerset during 2007 and 2008

description: Estimates of plant abundance (for leaf area, floral units and seed abundance, mass and energy) obtained from field-based sampling as part of a study of ecological interactions (food webs and plant-pollinator networks) on a single farm (Norwood Farm, Somerset, UK: 51.3128N 2.3206W) during 2007 and 2008. During the study, Norwood Farm was managed as an organic farm at relatively low intensity. The work was was supported by the Biotechnology and Biological Sciences Research Council [grant number BBD0156341]. 
description: Field surveys were conducted according to established protocols. Records made in the field for plant cover, height and counts of floral units, or samples containing seeds were collected for laboratory sorting and analysis. Data were entered into a purpose-designed database, via bespoke forms to support accuracy of data entry. Manipulations on the raw data (e.g. scaling up from sample size to total habitat area) were conducted in the database and data were checked for consistency of species names and data entry errors throughout the analysis undertaken as a contribution for peer-reviewed papers.
DOI: 10.5285/6bfc1787-354d-454f-8277-d9edb1e6455a
title: Macroinvertebrate sampling in the River Beas, India, 2017

description: Data comprise the number of macro-invertebrate taxa (including family and group name) recorded at four sites on the River Beas in November 2017. Data were generated from kick-sampling following the UK Environment Agency's standard semi-quantitative protocol. Also included are site location information (latitude and longitude).

The data were collected by Heriot-Watt University under the Sustaining Himalayan Water Resources in a Changing Climate (SusHi-Wat) project funded by NERC.
description: Macroinvertebrate kick-sampling data were collected at four sites on the River Beas, India on the 3rd and 4th November 2017 following the UK Environment Agency's standard semi-quantitative protocol (Murray-Bligh, 1999).
DOI: 10.5285/0cfd454a-d035-416c-80dc-803c65470ea2
title: Countryside Survey Environmental Zones

description: The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class. 
description: The Environmental Zones are aggregations of ITE Land Classes; these classes are derived from repeatable multivariate analysis of environmental data collected for each 1 km square in the country. Thus the classes, and hence the zones, are determined by combinations of environmental characteristics, not by just one or two. This means that the naming of classes (and zones) is not straightforward and cannot be achieved by reference to single parameters such as altitude. The approach taken with the ITE Land Classes is to give each a numeric identifier, rather than a text name, and to supplement these Land Class numbers with a brief description of the class.
DOI: 10.5285/2d0e7fc2-237e-40b9-a10a-16a3993cf8ad
title: Ammonia measurements from a passive sampler at Ballynahone Bog field site, Northern Ireland, 2021

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. 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: This data was produced from samplers collected by UWT and analysed by UK CEH.  Analysis data was processed using the UK CEH AAGA data handling system.
DOI: 10.5285/4ed0023e-da9b-45a8-86de-3a371cc7dcc1
title: Carbon dioxide, nitrous oxide and methane fluxes from winter wheat treated with organic and inorganic fertilisers, UK, 2022

description: This dataset contains 2-hourly observations of biogenic fluxes of carbon dioxide (CO2), nitrous oxide (N2O) and methane (CH4) measured from a winter wheat crop grown on a mineral soil in the UK treated with different fertilisers. The treatments were: i) inorganic fertiliser; ii) pig slurry and inorganic fertiliser; and iii) pig slurry treated with plasma-induction and inorganic fertiliser. Fluxes of biogenic greenhouse gases (GHGs) were measured over an 83-day period (20/03/2022-13/06/2022) within the winter wheat growing season using automated GHG flux chambers.
description: Carbon dioxide, nitrous oxide and methane fluxes were measured every 2-hours with Eosense eosAC-LT automated greenhouse gas flux chambers and a Picarro G2508 analyser.
Fluxes were calculated off-line using eos-AnalyzeMX/AC software.
Outliers were removed using a modified method by Elbers et al. (2011).
Missing nitrous oxide and methane data were gap-filled using linear interpolation. Missing carbon dioxide data were gap-filled using linear regression.
DOI: 10.5285/83a10b11-23ef-4378-a56d-c63cce365275
title: Invertebrate pests, natural enemies, pollinators, pest damage and yields associated with different understorey treatments in an agroforestry system, Nottinghamshire, UK, 2020

description: This resource comprises abundance data for invertebrates, pest damage to apples, and yields from an agroforestry system subject to two different understorey management treatments, comprising an unmown flowering understorey and a mown understorey. The data was collected from an intercropped apple-arable agroforestry site in Screveton, Nottinghamshire, UK, from five experimental blocks, each block split between the two understorey management treatments. The data was collected between April and September 2020. Data was collected using (i) pitfall traps, (ii) sticky traps, (iii) visual searches of apple trees for natural enemies, pests and fruit damage from pests and disease, (iv) flower visitation counts for pollinators, (v) apple fruit yield and quality metrics, and (vi) grain yield samples. The data was collected to compare the effect of understorey management in agroforestry on functional invertebrates and associated ecosystem services. All data was collected by Tom Staton (University of Reading). Three pitfall traps were damaged and are excluded from the dataset, comprising (i) Visit 1, Block 2, Mown treatment, Position 4; (ii) Visit 4, Block 2, Mown treatment, Position 3; and (iii) Visit 4, Block 3, Unmown treatment, Position 2.

The research was funded under NERC grant NE/R012229/1 Quantitative and Modelling Skills in Ecology and Evolution (QMEE) CDT
description: Data was collected from five experimental blocks , each containing one apple tree variety. Each block was equally divided into two management treatments, comprising un-mown vegetation to promote flowering (‘flowering understoreys’), and a frequently mown treatment to suppress flowering (‘mown understoreys’). Data was collected using  pitfall traps, (ii) sticky traps, (iii) visual searches of apple trees for natural enemies, pests and fruit damage from pests and disease, (iv) flower visitation counts for pollinators, (v) apple fruit yield and quality metrics, and (vi) grain yield samples. Invertebrate specimens captured using pitfall traps and sticky traps were stored in a freezer and identified using an optical microscope. The taxonomic resolution selected for each taxon was that which was sufficient to establish functional group. Data was subject to standard sense checking, including checking values were within a feasible range, all samples collected were represented in the data, and no duplicate samples. Data were entered into Excel spreadsheets and exported as comma separated value files for ingestion into the Environmental Information Data Centre.