cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5285/57f97915-8ff1-473b-8c77-2564cbd747bc
title: Countryside Survey 2007 vegetation plot data

description: This dataset consists of plant species presence and abundance in different sizes and types of plots from 591 1km x 1km square sites surveyed across Great Britain in 2007. Many of the plots are repeated from surveys in 1978, 1990 and 1998. General information about the plot was recorded including plot number and type as well as species presence and (usually) cover. Data were collected under the Countryside Survey long term monitoring project managed by the Centre for Ecology & Hydrology. 
description: The data were recorded using electronic data capture devices in the summer of 2007 by surveyors. Data were recorded from 591 1km squares sited across Britain, selected by random stratified sample. The survey was managed by the Centre for Ecology & Hydrology. Standard Countryside Survey methodology was applied (refer to the online documentation).
DOI: 10.5285/e4cf73b0-eef6-4118-a018-40eb374f5de7
title: Soil survey of Moor House, 1965

description: This dataset contains data from a soil survey at Moor House, Cumbria, UK undertaken by Mike Hornung in 1965 as part of his PhD.  It contains information about the soil horizons, chemical analyses and soil mineralogy.  
description: Detailed information about the survey is provided in Mike Hornung's Phd thesis which is available from Durham University e-Theses - http://etheses.dur.ac.uk/9262/1/9262_6193-vo1.PDF  
  
The data were stored in a database described in Cuthbertson, M. (1993).  A database for environmental research programmes.  J. Env. Management, 37(4), 291-300.
DOI: 10.5285/cbccb101-c877-4e43-ac70-e8a852b51f07
title: Tree trait, insect herbivore abundance and powdery mildew infection data (2016-17) from Forest Research Climate Matching Trials, UK

description: This data set comprises two years of data (2016 and 2017) from one trial (Hucking, Kent, UK) and one year (2017) from a second trial (Hartshorne, Derbyshire, UK). Data was collected on tree traits (tree height, shoot length, tree provenance), abundance of foliar insect herbivores (gallers, leaf manipulators and leaf miners) and leaf damage by oak powdery mildew, a foliar fungal pathogen. Data was collected from plots differing in tree diversity (provenance and species diversity).
description: The study took place at the Climate Match tree diversity experiment planted in 2011 at two sites in the UK. One site was established in South East England at Hucking, Kent (51°17'47.5"N 0°37'58.2"E), the other in the East Midlands at Hartshorne, Derbyshire (52°47'41.1"N, 1°30'58.8"W). On focal Quercus robur trees, we recorded abundance of three insect guilds: gallers, leaf miners and leaf manipulators, as well as infection by oak powdery mildew. We also recorded information on tree traits (tree height, shoot length). For further information on the design of the trials and the sampling protocol, see the supporting metadata for the dataset.
DOI: 10.5285/d5ea9e2c-f053-4631-aead-a8a5557488c6
title: Malaysian tropical heath forest growth and chemistry after fertilisation, 2016-2018

description: The dataset consists of tree diameter at breast height (DBH) of all trees > 1 cm DBH in 16 parcels of 15 m x 15 m in the tropical heath forest of the Kabili-Sepilok Forest Reserve (Sabah, Malaysia). Also included are the tropical heath forest trees’ leaf element concentration. 

Tree DBH has been measured three times, one before (2016) and two after (2017 and 2018) the experimental application of Nitrogen fertiliser and CaCO3 to the forest floor. 

The leaves were collected before (2016) and after (January 2017; July 2017; June 2018)  the application of experimental nitrogen and CaCO3 fertilisation. 

The experimental setting consists of four replicate parcels for the control plots, four replicates for the Nitrogen treatment, four replicates for the CaCO3 treatment and four replicates the Nitrogen and CaCO3 treatments combined.
description: All data were generated by the authors. Trees were identified at species level (where possible) by expert botanists and unidentified species were sorted into morphospecies.

 To assure high quality of element concentrations we included certified reference materials and each sample was measured three times. We also ensured that the measured values fit within those of calibration standards and, if necessary, re-analysed samples diluted to fall within the calibration range. All calculations were checked for errors before data was accepted.
DOI: 10.5285/8b7fcc6c-ac73-4f28-b82f-ea818b064915
title: Trait responses of aquatic organisms from microfibre exposure studies published 2015-2024 v2

description: The resource includes data extracted from published laboratory studies investigating the impacts of microfibres (fibres < 5 mm in size) on various traits within aquatic organisms. Data were accessible on 19/06/2024 and represent studies from 2015 to 2024.
The dataset includes measured responses in a range of aquatic organisms after microfibre exposure. Measures correspond to the following defined traits: 
1.	Development-Healthy molting and growth of organs and structures. 
2.	Fecundity-Number of offspring and quality of gametes.
3.	Feeding-Intake, handling and egestion of resources.
4.	Growth-Change in organism weight, length or derived measures.
5.	Hatching	-Number, emergence time and morphology of offspring.
6.	Non-apical endpoints-Indices and measures of general organism wellbeing.
7.	Survival-Organisms alive at a particular time point.

This dataset was created to collate microfibre study findings for meta-analyses and also to identify gaps within the literature. This work was supported by NERC (NE/Y003985/1) as part of the Future Fibres Networking Grant.

This dataset is a corrected version of https://doi.org/10.5285/e4d566bf-b571-460e-816e-0efa1ab3335a 
description: The dataset was generated from an initial Web of Science database search of studies investigating the exposure impacts of microfibres (small fibres < 5 mm in size) on the responses of aquatic organisms. Web of Science results were evaluated and then the citing and cited studies from these results also screened. Finally, the compiled results were then assessed for eligibility as detailed in the supporting information and only eligible responses extracted. QA steps were used to exclude a number of studies and responses as outlined in the resource supporting information.

This dataset is a corrected version of https://doi.org/10.5285/e4d566bf-b571-460e-816e-0efa1ab3335a which had several incorrectly calculated standard exposures and consequently incorrect assignment to standard exposure categories. This new version includes details on how these standard exposures were calculated as well as including more details on the assignment of several categories. Finally, "Health" endpoints are now referred to as "non-apical endpoints".
DOI: 10.5285/df329c40-cd4d-48d9-90d7-968f69df2279
title: Annual flow data of municipal organic waste and nutrients, Leicestershire, UK, 2019

description: This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019.
description: The dataset was generated through material flow analysis (MFA), which was based on the Environment Agency’s waste flow dataset for the year of 2019.
DOI: 10.5285/8056bba1-8370-4d2b-b537-018c79c8acb0
title: Taxonomic data, brain, and neuropil volume measurements of Ithomiini butterflies, Orellana Province, Ecuador, 2011-2012

description: This dataset presents taxonomic data, and neuropil volume measurements of sensory structures in the brains of wild caught ithomiini butterflies (Lepidoptera, Nymphalidae, Danainae), within a single community in Yasuní national park, Orellana Province, Ecuador, collected in 2011-2012. 

Variables measured include taxonomic detail, sex, mimicry ring, and the volumes of major sensory neuropils (the medulla, lobula plate, lobula, ventral lobula, accessory medulla, antennal lobe and anterior optic tubercule) and the central brain volume. 

This dataset was created to examine how sensory environments shape investment in sensory brain centers in butterflies, as part of a NERC Independent Research Fellowship NE/N014936/1.

description: Samples were collected over two field seasons in 2011/12 in Yasuní National Park, Ecuador, fixed in situ and returned to the UK. Fixed samples were then stained with Anti-SYNORF as a primary antibody, cy2 as a secondary antibody, and imaged using confocal microscopy. 

The resulting images, which highlight boundaries between brain regions, were then segmented using AMIRA software to quantify neuropil volumes. Please see supporting documentation for further detail.
DOI: 10.5285/b95c2ea7-47d2-4816-b942-68779c59bc4d
title: A database of radionuclide biological half-life values for wildlife

description: Data comprise biological and ecological half-life values for marine, freshwater, terrestrial and riparian organisms. The database includes 1908 biological half-life values for 52 elements across a range of wildlife groups (marine, freshwater, terrestrial and riparian). The compilation of values from a range of sources was conducted by an international working group under the auspices of an International Atomic Energy Agency programme.
description: Prior to beginning the review, a recording sheet (in Microsoft Excel), was designed to allow easy collation of the various components into the final database. The wildlife group categorisations were broadly compatible with those used in the Wildlife Transfer Database (as described by Copplestone et al. 2013) and subsequently by the IAEA (Howard et al. 2013; IAEA 2014). The 'Changeover time' is the intersect of the first and second biological half-lives when two regression lines on a logarithmic scale. No attempt was made to standardise the English common names used; similarly we have not updated Latin species names, but we acknowledge that these may have changed since the original publications.
DOI: 10.5285/d4e9f0f7-637a-4aa4-b9df-2a4ca5bfaded
title: Coastal Biodiversity and Ecosystem Service Sustainability (CBESS) total organic carbon in mudflat and saltmarsh habitats

description: The dataset details organic carbon content of sediments across 6 intertidal sites in the winter and summer of 2013. The data provide a quantitative measure of the organic carbon present within surface sediments (up to a depth of 2 cm). Three sites were located in Essex, South East England and the other 3 in Morecambe Bay, North West England. Each site consisted of a saltmarsh habitat and adjacent mudflat habitat. 22 sampling quadrats were placed in each habitat covering 4 spatial scales. 3 replicate samples of surface sediment were collected at each quadrat. They were then processed for organic carbon content using the Loss on Ignition method (detailed below) Values are expressed as a percentage of the total sample collected.

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: The location of the sample sites was determined by randomly allocated quadrats. Twenty two 1 x 1 m quadrats were randomly allocated to each mudflat and saltmarsh site 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).

Mudflats: surface scrapes of sediment were taken. Saltmarsh: sediment was cut from 2cm below the surface. All samples were frozen at minus 20 degrees and then analysed using standard loss on ignition (LOI) technique, full details of which can be found here: http://www.geog.cam.ac.uk/facilities/laboratories/techniques/loi.html
DOI: 10.5285/e3c79781-09af-4c4f-b6ad-b0bc323e203f
title:  Plant biomass, soil conditions and stable isotope concentrations in soil, roots and shoots from a microcosm experiment [NERC Soil Biodiversity Programme]

description: Data collected include: plant (shoot and root) biomass, a range of soil conditions including mycorrhizal abundance, microbial biomass carbon & nitrogen, soil extractable ammonia, soil extractable nitrate, soil extractable phosphate, total nitrogen content of soil and the presence of selected mite and collembolan species, and measurements associated with stable isotopes (ratio of isotopes of nitrogen in soil, roots and shoots, total carbon content of roots and shoots, ratio of isotopes of carbon in roots, total nitrogen content of fumigated and non-fumigated acid traps, ratio of isotopes of nitrogen in fumigated and non-fumigated acid traps). 

These data were collected from a laboratory-based study that examined a range of soil properties to investigate the relationship between microarthropods and soil microbial properties and the short-term partitioning of a dual-labelled organic nitrogen source (glycine-2-13C-15N) between a grassland plant, Agrostis capillaris, and the soil microbial biomass, to determine how soil fauna and their diversity influence plant-microbial competition for organic N.

The experiment was carried out at Lancaster University using soil from the NERC Soil Biodiversity site in Scotland. The work was part of the NERC Soil Biodiversity Thematic Programme, which 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. During the programme, the site was monitored to assess changes in above-ground biomass production (productivity), species composition and relative abundance (diversity).
description: Data were collected as part of the NERC Soil Biodiversity Thematic Programme, which was established in 1999 and was centred upon the intensive study of a large field experiment located at the Macaulay Land Use Research Institute (MLURI) (now the James Hutton Institute) farm at Sourhope in the Scottish Borders (Grid reference: NT 8545 1963). These data were collected from an experimental microcosm facility using soil from the Sourhope site. Data were collected by students and staff from Lancaster University and the Centre for Ecology & Hydrology, following defined protocols. Data from the programme were managed by the Centre for Ecology & Hydrology.
DOI: 10.5285/e9ec63be-3f2b-4d1b-b9bf-77ca2b96c7f5
title: Data describing pollen identified from honey samples originating from the UKCEH National Honey Monitoring Scheme for 2019

description: The following data set describes regional and temporal occurrence of plants foraged upon by managed honey bees (Apis mellifera).  This data was derived from DNA meta-barcoding of pollen extracted from honey samples provided by bee keepers archived as part of the UK National Honey Monitoring Scheme (https://honey-monitoring.ac.uk/). All data provided is from the first full year of the scheme in 2019. 

Working in partnership with UK beekeepers, the National Honey Monitoring Scheme aims to use honeybees to monitor long-term changes in the condition and health of the UK countryside. Data associated with subsequent years will be made available as samples are processed.

The Honey Monitoring Scheme is supported by national capability funding from UK Centre for Ecology & Hydrology under the ASSIST programme. 
description: All honey samples were submitted following an application though the National Honey Monitoring Scheme online portal which required minimum meta-data on site location and sample date which was verified.   This included in some cases additional data on hive health metrics.  DNA meta-barcoding to rapidly process samples to identify plant species.  Quality assurance of the DNA metabarcoding was delivered through operational deployment of sophisticated protocols for barcoding and interpreting large volumes of honey samples. To do this we developed the HONEYPI pipeline implemented in python 2.7 and is open access (https://github.com/hsgweon/honeypi).  The HONEYPI pipeline is divided into several parts as follows: 1) the raw amplicon sequences are quality filtered and adapters removed; 2) DADA2 pipeline is subsequently used to generate an Amplicon Sequence Variant (ASV) abundance table containing chimera-removed, high-quality error-corrected sequences. 3). For each ASV, conserved regions flanking ITS2 are removed; and (4) resulting sequences taxonomically classified using the naive Bayesian classifier against in-house ITS2 database.  Since HONEYPI uses ASVs rather than clusters of sequences for classification, it allows combining of ASV tables, i.e. data from two or more separate sequencing runs can be merged without re-clustering sequences. 

A full open access methodological paper describing this approach is given in Oliver et al (2021) MethodsX, 8, 101303 (https://doi.org/10.1016/j.mex.2021.101303)
DOI: 10.5285/b2a70d49-893a-406c-802f-1a979eb5013b
title: Habitat, vegetation, soil, tree and regeneration data from native pinewoods in Scotland, 1973

description: This is a set of data arising from a detailed ecological survey of plots within a selected number of native Scots Pine woodlands within Scotland.  Details about the trees, ground flora, soil, habitat types as well as general plot information were collected for each plot using standardised procedures and coding systems.  Additionally, regeneration data were collected from each site.  In all, 7 woods from throughout Scotland were identified for survey; these were a subset of 27 pinewoods surveyed previously using similar methods, in 1971.  The survey was carried out in 1973 by the Nature Conservancy, a forerunner of the Centre for Ecology & Hydrology.
description: The 7 woodlands were surveyed by trained surveyors in the summer of 1973, according to defined protocols.  The woodlands were: Abernethy, Glen Affric, Barisdale, Loch Maree, Mar, Shieldaig and Tyndrum.  Data have been digitised, validated and managed at the Centre for Ecology & Hydrology, Lancaster. See supporting information for further information.
DOI: 10.5285/f481c6bf-5774-4df8-8776-c4d7bf059d40
title: Landscape linear feature data from the Glastir Monitoring and Evaluation Programme, Wales 2013-2016

description: This data set consists of measurements of lengths of linear landscape features and associated attributes from sites across Wales, collected between 2013 and 2016. Data are presented as lengths of features such as hedges ('woody linear features'), fences, walls, banks and streams, with associated species and condition measures where applicable.  Features were surveyed within a set of up to 300 x 1km squares across Wales (not all sites contained linear features), collected as part of the Glastir Monitoring and Evaluation Programme (GMEP). 

The monitoring programme was set up by the Welsh Government in 2013 to monitor the effects of the Glastir agri-environment scheme on the environment and ran from 2013 to 2016. The field survey element was based on a stratified random sampling design of 300 x 1km square sites across Wales, and was managed by the Centre for Ecology & Hydrology.
description: The data were recorded using electronic data capture devices in the summers of 2013-2016 by professional surveyors. Data were recorded from up to 300 x 1km squares sited across Wales, selected by random stratified sample. The survey was managed by the Centre for Ecology & Hydrology. Standardised methodologies were applied throughout.
To ensure confidentiality of the data with respect to land owners and managers, the locations of 1km squares and survey sites were converted to the centres of the containing 10km Ordnance Survey grid squares.
DOI: 10.5285/3df05e85-2c56-4bd9-9918-44b760e20b2e
title: Hourly relative humidity data from automatic water monitoring buoy from Blelham Tarn 2012 to 2019

description: Data comprise relative humidity measured at an automatic monitoring buoy located in Blelham Tarn, UK. Data are provided from January 2012 to December 2019. Hourly averages are given, calculated from measurements taken every four minutes. All data is given in GMT (Greenwich Mean Time).

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: The instrument measures data every 4 minutes and the hourly averages provided in this dataset are calculated by an Oracle database. The average is calculated over the previous hour, e.g. the value for 2 p.m. is the average of the data between 1 and 2 p.m., excluding the data measured at 1 p.m., including the data measured at 2 p.m. 
Data has been checked visually and any obvious errors introduced by hardware malfunctioning have been removed. Data before and after deployment was removed, along with 30 to 60 min of data immediately after deployment when the sensor settled to the new environment. Hourly data were removed if less than seven measurements were available to calculate the hourly average. Any other data gaps are due to buoy maintenance work or sensor / logger problems.
DOI: 10.5285/a55eea77-8401-49ba-921e-53e085dc8345
title: Molecular analysis of Glossina morsitans morsitans tsetse from Mambwe District, Zambia (2013)

description: This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley in Zambia is an old focus of human African trypanosomiasis (HAT, Trypanosoma brucei rhodesiense) and sporadic outbreaks have continued to occur in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing tsetse dynamics and the epidemiology of HAT. This data set was collected to monitor infection rates of trypanosomes and Sodalis glossinidius in Glossina morsitans morsitans tsetse flies in the area so as to assess the risk posed to both human and livestock populations. In addition, feeding patterns of tsetse were investigated through analysis of blood meals.

This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA).

description: Tsetse surveys were conducted in May / June 2013 and November 2013. Tsetse flies were sampled using black screen fly rounds. Data were recorded on standard field sampling forms and then manually transferred to Microsoft Excel. Data were then checked for accuracy and incorrect spatial location coordinates removed.
Tsetse flies were homogenized and DNA extracted. The resulting DNA was stored at minus 20 degrees Celsius until needed for Polymerase chain reaction (PCR). PCR analysis was performed using different primers to detect the different species of trypanosomes in the DNA. All PCR included a negative and a positive control. 
To determine the sources of blood meal (feeding patterns), tsetse DNA samples were subjected to PCR targeting the cytochrome oxidase b gene. The resulting PCR product was sequenced, and the sequences compared with those available in public databases by using nucleotide BLAST at NCBI website (http://blast.ncbi.nlm.nih.gov/Blast.cgi) to determine the animal species on which tsetse fed on. Data were collated in a Microsoft Excel spreadsheet and exported as a comma separated file for ingestion into the Environmental Information Data Centre (EIDC).
DOI: 10.57745/eeudnw
title: 2009-EGG-RU-0901-Baturaitis.ogg

description: Enregistrement audio en version originale russe