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NERC EDS Environmental Information Data Centre

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  • The resource consists of cartesian coordinates, expressed in units of pixels for groups of eight individual fish, swimming in a shoal. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. A food stimulus delivering a single food reward was presented six times per trial. The data were collected between July and August 2017 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test the effects of group behaviour in fish shoals on foraging performance. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/08305a43-79b5-432f-ad20-2ddffe0d1077

  • Dataset comprising data on the lifetime reproductive success (LRS) of 879 individually marked long-tailed tits Aegithalos caudatus, a cooperatively breeding passerine. LRS is measured in terms of the number of local recruits into the breeding population in the study area, controlling for fledgling sex and extra-pair paternity. LRS data are then partitioned into direct and indirect fitness components, quantified as genetic equivalents. Partitioning of fitness follows Hamilton’s definition of inclusive fitness: (a) direct fitness is measured as the production of offspring, stripped of the social effect of helpers on productivity; (b) indirect fitness is calculated from the mean marginal effect of a helper on productivity, adjusted for helper relatedness. Inclusive fitness is calculated by summing direct and indirect fitness. Full details about this dataset can be found at https://doi.org/10.5285/0e55f507-e5bd-4678-a5ea-8c3ffb62d3ac

  • The data comprises physiological and yield measurements from an ozone (O3) exposure experiment, during which three varieties of sweet potato (Ipomoea batatas) were exposed to Low, Medium and High O3 treatments using heated dome shaped glasshouses (solardomes). The Erato orange variety was exposed to the three treatments from June to October 2019 and the Murasaki variety from June to October 2021. The Beauregard variety was grown on two occasions, with treatments from August to October 2020, and June to October 2021. Measurements were taken of leaf stomatal conductance, leaf chlorophyll content index as well as the harvest (fresh) weight of tubers. All measurements were made by the corresponding author. The experiments were carried out in the UKCEH Bangor Air Pollution Facility. This work was carried out as part of the UK Centre for Ecology & Hydrology Long-Term Science Official Development Assistance ‘SUNRISE’ project, NEC06476. Stomatal conductance was found to be significantly reduced in the elevated ozone treatments. Yield for the Erato orange and Murasaki varieties was reduced by ~40% and ~50% (Medium and High, respectively, vs Low) whereas Beauregard yield (2021) was reduced by 58% in both (the tubers for the Beauregard plants grown in 2020 were not fully formed). Sweet potato is a staple food crop grown in locations deemed to be at risk from O3 pollution (e.g. Sub-Saharan Africa), and this dataset adds much needed stomatal conductance and yield data of sweet potato grown under different O3 exposure conditions. This can be used to improve model predictions of O3 impacts on sweet potato, along with associated risk assessments. Full details about this dataset can be found at https://doi.org/10.5285/66e73c38-5b85-44a1-818a-52189bdcffda

  • Dataset contains lists of plant indicator species extracted from the JNCC Common Standards habitat monitoring guidance for the UK. The Common Standards Monitoring (CSM) approach was developed in order to standardise the monitoring of designated nature conservation sites. As well as extracting (and sometimes interpreting) the plant species noted in the CSM guidance documents, we provide links to CSM habitats, National Vegetation Classification communities, National Plant Monitoring Scheme (www.npms.org.uk) indicator species, and provide current taxonomic names in a lookup table. 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. Full details about this dataset can be found at https://doi.org/10.5285/2c433c5b-8d15-49a7-aae7-b1f027d17e0e

  • This dataset contains the carbon and nitrogen content of soil organic matter fractions collected along grassland-to-forest conversion chronosequences. Four chronosequences of grassland-to-forest conversion were used across Scotland, from Alyth to Craik. Soil samples were collected in summer 2018. Soil samples were collected using soil corers. In 2020, soil samples were fractionated in the laboratory, and the elemental composition of bulk soil and soil fraction samples was determined. The goal of the study was to determine the changes in the quantity of soil organic carbon and nitrogen, and the form in which these carbon and nitrogen are stored. Full details about this dataset can be found at https://doi.org/10.5285/ad3d4c0a-66d5-4367-a41c-5f3cdff752f7

  • The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions concern the monthly agricultural activities in association with the climate services and extreme weather events. The data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi). Full details about this dataset can be found at https://doi.org/10.5285/2b8cb09f-9348-4115-a90e-818eade599af

  • [This dataset is embargoed until September 30, 2023]. The data provide information on a number of male cricket behaviours organized according to time and duration of the behaviour. Also included are the mean temperature at the ground level for the duration of each observation. Full details about this dataset can be found at https://doi.org/10.5285/f56d3d1c-28f2-4667-90b0-ef352243dd2a

  • The resource consists of cartesian coordinates, expressed in units of pixels, for fish swimming individually, in groups of six individuals, and in groups of six individuals while presented repeatedly with a food stimulus delivering two food items until satiation. The fish were filmed from above with a high resolution video camera. The data were generated from the images and video using automated two-dimensional tracking software. The data were collected between September 2019 and March 2020 in a controlled fish laboratory at the University of Bristol by the data authors. The data were collected to test how individual temperament and the acquisition of knowledge and satiation interact when animals make foraging decisions in groups. There are instances where one or more fish in a frame could not be tracked. Where such instances occur are indicated in the data files. The research was funded through NERC grant NE/P012639/1 Hunger and knowledge: foraging decisions in an uncertain and social world. All procedures regarding the use of animals in research followed United Kingdom guidelines and were approved by the University of Bristol Ethical Review Group (UIN UB/17/060). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/26f045c3-946b-4115-baf1-defb19bdba42

  • The data describe vegetation outlines and tree tops above 1m in height as polylines and points. Data have been processed from a digital terrain model (DTM) and digital surface model (DSM), converted from raw LiDAR data. The LiDAR dataset was acquired for Cornwall and Devon (all the land west of Exmouth) during the months of July and August 2013. The data were created as part of the Tellus South West project. Full details about this dataset can be found at https://doi.org/10.5285/78dba959-989b-43d4-b4da-efd2506e0c8e

  • The dataset provides transcripts from focus groups in Salima, Mangochi and Zomba (Malawi). The focus groups' discussions focused on important monthly agricultural activities in association with the climate services and extreme weather events. This outlined how climatic factors affected agricultural decision-making. The data were produced as part of NERC Program Science for Humanitarian Emergencies and Resilience (SHEAR). Grant reference - Improving Preparedness to Agro-Climatic Extremes in Malawi (IPACE-Malawi). Full details about this dataset can be found at https://doi.org/10.5285/199b0046-79a3-4e74-8152-17f10c376671