70 research outputs found
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Is all seagrass habitat equal? Seasonal, spatial, and interspecific variation in productivity dynamics within Mediterranean seagrass habitat (DATA)
No full textSeagrass biometrics, productivity, abiotic and experimental description data for seagrass habitat productivity estimates in the eastern Mediterranea
The impact of growth at elevated [CO2] on stomatal anatomy and behavior differs between wheat species and cultivars.
No full textthese data comprise the published and unpublished (supplimentary material) information related to the paper titled "The impact of growth at elevated [CO2] on stomatal anatomy and behavior differs between wheat species and cultivars". The anatomical and physiological data were collected between 2018 and 2019 at the University of Essex
Photosynthesis–beyond the leaf
No full textPublished and unpublished data and information relating to the paper titled “Photosynthesis–beyond the leaf”. The physiological and anatomical data were collected between 2021 and 2022 at the University of Essex, Colchester, United Kingdom
Stomata on the abaxial and adaxial leaf surface contribute differently to leaf gas exchange and photosynthesis in wheat
No full textthese data comprise the published and unpublished (supplimentary material) information related to the paper titled "Stomata on the abaxial and adaxial leaf surface contribute differently to leaf gas exchange and photosynthesis in wheat". The anatomical and physiological data were collected between 2017 and 2019 at the University of Essex
Perceptions Surrounding Virtual Reality Technology
No full textRaw dataset from the online questionnaire, including responses to the free text and closed-answer questions. Data includes questions within the spreadsheet
Enhancing performance with multisensory cues in a realistic target discrimination tasks.
No full textThe data are collect from a study with human participants.
Participants had to rapidly decide whether a character, appearing suddenly, and for a very short time, on the left or right side of a poorly-lit realistic indoor scene, was wearing a cap or a helmet.
In some of the experiment blocks, the stimulus display was preceded by a cue indicating whether the character would appear on the left or the
right, either as a spoken word (``left'' or ``right'') only, or in the
form of a synthetic face uttering the cue word (with matching lip
movements). Performance was then measured in terms of both accuracy and reaction times
Effects of Lighting and Scene Sparsity on Distance Perception in Virtual Reality
No full textTwo sets of data from one experiment. Separated by the environment - Sparse and Cluttered. Columns are as follows: (1) participant; (2) lighting condition; (3) reference stimulus distance (correct distance for the target); (4) set target distance
Network Latency Measurements as part of WP7 and WP8 of the EU H2020 Project SerIoT
No full textTwo datasets that measure the latency (technically round-trip-time) between partner institutions and the University of Essex network testbed used for the SerIoT projec
Diverse Physiological and Physical Responses among Wild, Landrace and Elite Barley Varieties Point to Novel Breeding Opportunities
No full textThese data comprise the published and unpublished (supplementary materials) information related to the paper titled "Diverse Physiological and Physical Responses among Wild, Landrace and Elite Barley Varieties Point to Novel Breeding Opportunities". The data were collected in spring & summer 2016 at the KWS UK facility in Thriplow, and through the early part of 2017 at the University of Essex. The 2016 data comprise physiological measurements, anatomical measurements and harvest measurements of a diverse array of barleys. The 2017 measurements contain physiological data alone.
The raw data are saved as .csv and .xlsx files. The data have been processed using the R software, and the R files to do so are enclosed.
The output files relate to figures used in the publication and suppplementary material supporting the publication. The supplementary material includes a number of figures plus all the outcomes of the statistical tests used in the paper
The Chapel Hill Expert Survey Trend File, 1999-2019
No full textThe Chapel Hill expert surveys estimate party positioning on European integration, ideology and policy issues for national parties in a variety of European countries. The first survey was conducted in 1999, with subsequent waves in 2002, 2006, 2010, 2014, 2019. The number of countries increased from 14 Western European countries in 1999 to 24 current or prospective EU members in 2006 to 31 countries in 2019. In this time, the number of national parties grew from 143 to 277. The 2019 survey includes all EU member states, plus parties in Norway, Switzerland, and Turkey. Separate surveys were conducted in the Balkan candidate countries. Questions on parties' general position on European integration, several EU policies, general left/right, economic left/right, and social left/right are common to all surveys. More recent surveys also contain questions on non-EU policy issues, such as anti-elite rhetoric, immigration, redistribution, decentralization, and environmental policy