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Data supporting 'Arabic Dialogues: Phrasebooks and the Learning of Colloquial Arabic 1798-1945' (Rachel Mairs, UCL Press).
Get PDFThis data set complements the book 'Arabic Dialogues: Phrasebooks and the Learning of Colloquial Arabic 1798-1945', by Rachel Mairs, published by UCL Press. It should be cited as: Rachel Mairs (2023): Data supporting 'Arabic Dialogues: Phrasebooks and the Learning of Colloquial Arabic 1798-1945 (UCL Press)'. University of Reading. Dataset. https://doi.org/10.17864/1947.000469 Copyright 2023, University of Reading. This dataset is licensed under a Creative Commons Attribution 4.0 International Licence: https://creativecommons.org/licenses/by/4.0/.
It contains:
- A Catalogue of colloquial Arabic phrasebooks discussed in the book (Word document and PDF). (Referred to in the text of the book as 'the Catalogue'.)
- Two Gephi graphs of: a) social connections between authors of language books, learners of Arabic and other significant figures; and b) relationships of plagiarism and influence between Arabic phrasebooks. (Referred to as Graph 1 and Graph 2 respectively.)
- PDF and JPEG files providing a visualisation of the Gephi data, for users who do not have or do not wish to use network analysis software. (Referred to as above.)
- A line chart showing the number of colloquial Arabic phrasebooks each year, across all languages, in the period 1798-1945 (Graph 3, PDF and JPEG).
- A line chart showing the cumulative number of colloquial Arabic phrasebooks published in the period 1798-1945 (Graph 4, PDF and JPEG).
- A line chart showing the number of colloquial Arabic phrasebooks published each year, separated by language, in the period 1798-1945 (Graph 5, PDF and JPEG).
Access to this data set is not essential in order to follow the arguments of the book, but it is intended to provide access 'in a user-friendly manner' to material that could not be presented adequately within the confines of a print publication
Dataset supporting the article 'Pairwise additivity and three-body contributions for Density Functional Theory-based protein-ligand binding energies'
No full textAll component data for calculating Density Functional Theory-based protein-ligand binding energies using three different approaches: the total energy, a sum of pairwise energies, and a sum of pairwise and three-body energies. Data is also presented comparing three types of basis set superposition error corrections: no-corrections, global corrections, and local corrections. Timings are also given for each type of correction. Finally, a selection of four-body energy terms is given as an example. All calculations performed using Gaussian 16. Raw data for manuscript 'Pairwise additivity and three-body contributions for Density Functional Theory-based protein-ligand binding energies' by Schulze and Cafiero
Soil invertebrate and mycorrhizal activity in diverse grasslands: benefits for ecosystem service provision - PhD thesis dataset
Get PDFData collected for PhD thesis. The thesis aim was to identify which of the commercially viable grasslands within the Diverse Forages Project had the most positive effect on the soil biota (earthworms, mesofauna and AMF) and whether changes in belowground biota affected aboveground biomass productivity. The thesis consists of three manuscript research chapters which address the soil biodiversity research gaps identified by comparing a conventionally fertilised forage pasture to three commercially available diverse grasslands.
Chapter 2 covered the changes in soil invertebrates, namely earthworms, a selection of soil mesofauna under grazed systems, and measuring arbuscular mycorrhizal (AMF) activity through trap plant root colonisation.
Chapter 3 looked at overall fungal community diversity and microbial functional diversity, with modelling effects on provisioning ecosystem service delivery of aboveground biomass.
And finally, Chapter 4 focused solely on AMF community’s contribution to the commercially available diverse grasslands in dry, stressed environments, suggestive of future climate change conditions
Eskdalemuir ion measurements 1909-1916
Get PDFThe electrical conductivity of atmospheric air depends on the positive and negative cluster ions (or 'small ions') it contains. Here, intermittent daily ion measurements are presented from Eskdalemuir observatory in Scotland (55.314° N, 356.794° E), in initial work beginning soon after the observatory opened in 1908. These early ion measurements were made using an Ebert sampling apparatus. Air pollution reduces air ion concentrations, hence ion information can provide an indirect measure of air pollution. As air ion measurements were made before routine air pollution monitoring began, ion measurements provide an indirect � and quantitative � source of early pollution information for comparisons. Eskdalemuir is now a background air pollution site. Some entries in the air ion record book containing the original data were initialled by the then Eskdalemuir superintendent, Lewis Fry Richardson
Second language vocabulary learning outcomes from different text types and teaching approaches
Get PDFThese data were collected from 160 learners of French aged 14 in eight schools in England over a period of approximately 8 months. Learners participated in an intervention in which they studied either literary or factual texts, taught using two different teaching approaches. The data constitute: (1) Learner pre and post-test results for meaning recall of key vocabulary items contained in 6 texts (2) learner vocabulary size assessed through yes/no tests at three time points (3) learner Likert-scale responses to a questionnaire item on enjoyment of the texts studied
Dataset supporting 'The use of salts, buffers and surfactants in LAP-MALDI MS'
No full textAs part of the PhD project 'Advancing liquid MALDI ion source designs and applications in modern biological mass spectrometry' funded by the University of Reading and Waters Corporation the influence of salts, buffers, surfactants and other substances on the LAP-MALDI MS signal of a peptide mix was investigated.
The peptide mix containing leucine enkephalin, angiotensin I, bradykinin, substance P and melittin was mixed with substances at different concentrations. Those were: 1) buffers (HEPES, MES, MOPS, tris, tricine, PBS), 2) salts (chlorides of calcium, potassium, magnesium, sodium, ammonium and acetates of magnesium, ammonium and sodium), 3) surfactants (sodium dodecyl sulphate, sodium deoxycholate, octyl-beta-D-glucopyranoside, CHAPS, amidosulfobetamine-14), 4) ammonium salts and serine (ammonium acetate, tartrate, citrate, phosphate, oxalate) and 5) other substances (EDTA, ammonium sulphate, urea, bovine serum albumin, formic acid, trifluoracetic acid and dimethyl sulfoxide).
All samples were analysed at least in triplicate with a water-based sample as reference. For the LAP-MALDI analysis a CHCA-based liquid support matrix was used and samples were analysed on a Synapt G2-SI.
The data archived here include the raw data and sample locations
Semi-structured interview data on valuers' perception of sustainability in the UK commercial property market
Get PDFThe data was collected as part of a PhD thesis titled: 'Valuers' perception of sustainability in the UK commercial property market'.
Data was collected during December 2019 – March 2021 in the form of semi-structured interviews. Interviewees were interviewed either through video call, audio call or face to face
Dataset supporting '2’fuscosyllactose – A deeper dive into responder/non-responder status. A follow-up to the result from the EFFICAD trial'
Get PDFThis dataset was collected as part of my PhD thesis ‘An exploration of the prebiotic concept: from food matrix to mood state’. The principle point of interest in this follow-up analysis to the EFFICAD trial was to identify differences in microbial responses between non-responders and responders to 2’fucosyllactose supplementation, along with exploring potential differences in gastrointestinal sensation, bowel habits and mood state between non-responders and responders. This dataset contains the individual level participant bacterial load and composition, gastrointestinal sensation and bowel habit, and mood state data collected throughout the course of the five-week intervention segregated by responder status, along with a separate zip file containing all original 16S rRNA sequencing reads
Back trajectories released from ocean catchment boundaries
No full textThis dataset contains a subset from a dataset of 14-day back trajectories released from points along the ocean drainage basin catchment boundaries used in Craig, P. et al. (2023).
Six-hourly data from the ERA-Interim re-analysis from the European Centre for Medium Range Weather Forecasts (Dee et al., 2011) and the ROTRAJ model code (https://www.met.reading.ac.uk/~swrmethn/ROTRAJ/) were used to generate the back trajectories. Data were released every 12 hours on 17 vertical levels. The full dataset covers the years 2010-14 and contains 20.3 million trajectories per year.
The dataset defining the ocean catchment boundaries is available from the University of Reading Research Data Archive (https://doi.org/10.17864/1947.195).
The back trajectories can be read using the Python code readtraj_example.py provided here.
Craig, P., Ferreira, D. & Methven, J. (2023). A Lagrangian perspective on the Atlantic and Pacific Precipitation-Evaporation asymmetry. JGR Atmospheres (in press).
Dee, D. et al. (2011). The ERA-Interim Reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137, 553-597
Air temperature measurements in different thermometer screens
No full textThis dataset contains processed meteorological data from the Reading University Atmospheric Observatory. It provides a series of temperatures obtained from two electrical resistance thermometers, mounted in separate enclosures (thermometer screens). One screen operates by natural ventilation and the other is force ventilated. The dataset includes simultaneous wind speed, solar radiation and terrestrial radiation observations to allow investigation of the air temperature measurement uncertainties, specifically at the times of the daily maximum and minimum temperatures