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[This dataset is embargoed until December 31, 2021]. This dataset is the first phenological trait data for Moringa oleifera and M. stenopetala trees from provenances collected in Kenya and planted at Ramogi. Trees were measured and scored for survival, height, diameter at breast height, fruiting and damage by three field surveyors. Full details about this dataset can be found at https://doi.org/10.5285/668f9f95-f367-4600-b93a-ffc24b67ce7f
The dataset contains the partial sequence of Glomeromycotina species isolates ribosomal RNA genes. The samples contain Eukaryota, Fungi, Incertae sedis and Glomeromycotina species. This data is NERC-funded but not held by the EIDC. This data is archived in NCBI GenBank https://www.ncbi.nlm.nih.gov/popset/1333994230 Accession Numbers: MG829276 – MG829601 (Glomeromycotina species Voucher)
The datasets contain insect numbers, plant biomass, successful attacks of parasitoids, and behavioural response of parasitoids. The data are based on direct observations of insects and plants in field and laboratory experiments testing for the impact of different spectra of artificial light at night on an experimental insect food web with coloured near-monochromatic LEDs, with a single peak emittance across the visible and near-UV spectrum at wavelengths of 385, 447, 469, 475, 518, 607 and 630 nm plus a dark control. The dark control was exposed to the natural background light levels at night. We kept photon flux similar to the output of a white light LED at 20 lux, for all light treatments apart from the UV treatment. Data collection was done in a field site, and controlled temperature room at Penryn Campus of University of Exeter, Penryn, UK. The field experiment was set up on 3rd June 2017 and ran for 17 weeks, while the additional experiments were conducted between summer 2017 and summer 2018. The data have been sampled as part of the NERC project NE/N001672/1 “Effects of artificial light on multi-trophic population dynamics”. Full details about this dataset can be found at https://doi.org/10.5285/dfe9a1ed-fc98-4abd-8040-6ee9f01cfcd0
This dataset consists of silicon isotope data from deep-sea sediment cores taken off southeast Iceland. Samples of sea sponges were collected using piston cores and sediment cores aboard the RV Celtic Explorer in 2008 and dried or frozen for transportation. Organic matter was removed and samples were preserved for later analysis. Sample analysis occurred in 2012 as part of a comprehensive study of the carbon cycle. The data collected form the field component of the NERC-funded project "Unravelling the carbon cycle using silicon isotopes in the oceans". The project aimed to investigate deep sea sponges and the silicon they produce, in an effort to piece together the links between the supply of vital nutrients in different parts of the ocean and the crucial role other marine organisms play in absorbing CO2 from the atmosphere and storing it in deep sea sediments as organic carbon. The Discovery Science project was composed of New Investigators (FEC) Grant reference NE/J00474X/1 led by Dr. Katherine Rosemary Hendry of Cardiff University, School of Earth and Ocean Sciences. The project ran from 26 January 2012 to 30 September 2013. The silicon isotope data have been received by BODC as raw files, and will be processed and quality controlled using in-house BODC procedures and made available online in the near future. The raw files are available on request.
[This dataset is embargoed until June 1, 2022]. This dataset contains half-hourly output data (for the year 2011) generated by a preliminary version of the Shrubland Ecosystem Assessment (SEcA) model. SEcA calculates the ecosystem processes for a semi-arid shrubland system, for this dataset the model has been configured for a Caatinga ecosystem. The model generates 4 output files, those generating the aerodynamic and surface resistances, state variables, energy balance fluxes, and carbon flux-related outputs. The data provided here relate to model runs with the JULES Farquhar model, with the Sinclair plant water stress switched on. This work was funded by Newton/NERC/FAPESP Nordeste project: NE/N012488/1. Full details about this dataset can be found at https://doi.org/10.5285/ad86c0d3-624c-4ae3-9280-8d1ccbe14929
A collection of six morphometric measurements (forewing length, body length, thorax length, thorax width, abdomen length, and abdomen width) relating to the 177 macro-moth species sampled by two Rothamsted Insect Survey (RIS) light traps (Bentley Wood and Porton Down III) from 33 days across 2017 (11-14 & 31 May; 1, 14-21 & 25-27 June; and 1-11, 17-18, and 24-26 July). Full details about this dataset can be found at https://doi.org/10.5285/3a813bd9-59ae-476e-a170-ab83fe1587b2
Agilent gene expression microarrays (Bham Chlamydomonas reinhardtii Agilent-029192 15k v1) were used to profile transcriptional changes afeter exposure of Chlamydomonas reinardtii algae to cerium dioxide nanoparticles. The data are generated from NERC-funding but not held by EIDC. This data is held by ArrayExpress with accession reference E-MTAB-2454.
This data is NERC-funded but not held by the EIDC. The data is archived in European Nucleotide Archive under primary accession reference PRJEB33721. This dataset is the DNA sequences from Illumina MiSeq sequencing of the bacterial 16S and fungal ITS2 genes in climate manipulated soils from the Climoor field experiment. Soil samples were collected in 2003 and 2017 after 4 and 18 years of manipulation, respectively. The experimental field site consists of three untreated control plots, three plots where the plant canopy air is artificially warmed during night time hours, and three plots where rainfall is excluded from the plots at least during the plants' growing season (March to September). The Climoor field experiment intends to answer questions regarding the effects of warming and drought on ecosystem processes and has been running since 1999. The microbial community data aims to understand how changes in soil hydrological and chemical properties have influenced the soil microbial composition and the implications of this for biogeochemical cycling. The data were collected as part of NERC project NEC05670 CWI-STU Fiona Seaton as part of the NERC Soils Training And Research Studentships Centre for Doctoral Training (STARS)
Marine fish, algae and invertebrate invasive alien species (IAS) data from Akrotiri and Dhekelia, Cyprus. Data were collected during an 19-month monitoring period starting in February 2017 and ending in September 2018. Sampling occurred seasonally, approximately once every 3 months, and used an underwater visual census (UVC) method. The UVC involved divers swimming at a steady pace along three 25m transects, with each transect separated by a 5m gap. The transects were randomly placed, covering a variety of habitats such as seagrass beds and rocky habitats where possible. Fish species were recorded and abundance estimated within 2.5m on each side of the transect. Benthic species (algae and invertebrates) were recorded from quadrats placed every 1m along each 25m transect. Sampling carried out by the University of Cyprus and volunteer divers from the Western Sovereign Base Area Sub Aqua Club as part of a Defra Darwin Initiative Plus project to ascertain baseline data on native and non-native marine species in the Sovereign Base Area of Akrotiri. Full details about this dataset can be found at https://doi.org/10.5285/519d42bf-51cc-42a4-8673-5f2044cfa19a
The dataset comprises of above ground vegetation cut to ground level and dried to give indication of standing crop biomass in a 50 centimetre (cm) x 25cm area (taken within a 1metre (m) x 1m quadrat) . Sampling was conducted at six salt marsh sites at four spatial scales: 1 m (the minimal sampling unit) nested within a hierarchy of increasing scales of 1-10 m, 10-100 m and 100-1000 m. Three of the sites were in Morecambe Bay, North West England and three of the sites were in Essex, South East England. All samples were taken during the winter and summer of 2013. This data was collected as part of Coastal Biodiversity and Ecosystem Service Sustainability (CBESS): NE/J015644/1. The project was funded with support from the Biodiversity and Ecosystem Service Sustainability (BESS) programme. BESS is a six-year programme (2011-2017) funded by the UK Natural Environment Research Council (NERC) and the Biotechnology and Biological Sciences Research Council (BBSRC) as part of the UK's Living with Environmental Change (LWEC) programme. Full details about this dataset can be found at https://doi.org/10.5285/87114da4-3189-471f-9832-00b3e759232f