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Pollen data and charcoal data of the Iberian Peninsula (version 3)
Get PDFSedimentary charcoal, preserved in lakes, peatbogs and other anoxic environments, has been widely used as an indicator of past changes in fire regimes. Pollen records can be used to reconstruct past climate changes by deriving a statistical relationship between modern pollen abundance and modern climate and applying this relationship to fossil pollen assemblages. Here, we present pollen data and charcoal data from the Iberian Peninsula.
The pollen data file includes basic information (e.g., latitude, longitude, elevation, source of the data, citation for original publication), age information (IPE age and IntCal20 mean and median ages and age uncertainties) and pollen counts for 205 taxa by depth (cm) for 120 sites (122 entities).
The charcoal data file includes basic information (e.g., latitude, longitude, elevation, charcoal. count type and unit), age information (IntCal20 mean and median age and age uncertainties) and charcoal quantity by depth (cm) for 55 sites (78 entities).
Previous updates (Version 2)
There are four main updates to the second version of Pollen data and charcoal data of the Iberian Peninsula: (1) the quality of the new age models created using IntCal20 calibration curve has been improved; (2) 9 more pollen entities have been added (ALCUDIA, ALGENDAR, GALDANA, CPORTER, ESGRAU, HTIMONER, TRAVESS1, PRATVILA, SONBOU) and one pollen entity removed (BAJONDI: the new age model cannot be correctly generated because of limited date information); 4 more charcoal entities have been added (El Payo core_50, El Payo core_50100, El Payo core_100150, El Payo core_150plus); (3) some charcoal entity names and charcoal site names have been edited to make them comparable with original sources and the Reading Palaeofire database (Harrison et al. 2021, https://doi.org/10.17864/1947.319); (4) some references and coordinates have been edited for consistency.
Latest updates (Version 3)
In the second version of Iberia pollen data: (1) the dates of QUINTA02 were wrong; (2) the core-top dates of MAI, MOLINAES, PATATERO, XL were post-modern carbon dates; (3) The entity name of EIX was wrong, it should be ELX; (4) GALDANA, ESGRAU, LLIGAT, Castello Lagoon core EM and HINOJOS partly or fully included marine-type dates, which needed marine curve calibration to get the appropriate age models. In relation to the second version of Iberia charcoal data, (1) Castello Lagoon core EM and Hinojos Marsh_core S1 include marine-type dates, so age models need to apply the marine calibration curve for these dates; (2) some samples of Espinosa de Cerrato core, Gador core and N-GUA needed to be removed because of disturbed layers or hiatus according to their original references; (3) some samples of PozoN_2015 core needed to be removed based on apparent unreported hiatus diagnosed during age modelling.
Thus, we provide a third version of the Iberia pollen and charcoal data. A date information file (Iberia_data_dates_v3.csv) is also available now
User-friendly point-of-use instructions for home use diagnostic tests
Get PDFThis toolkit provides guidance for producing clear and user-friendly point-of-use instructions for testing kits. It is for:
- manufacturers and distributors of tests
- service providers who might want to brief designers and content specialists
- content specialists and designers who need information about producing instructional text
This guidance includes:
- information about what you should consider when producing user-friendly instructions, based on the findings of research and good practice
- examples of how the guidance has been applied by those who implement policy in diagnostic companies
The toolkit has been designed primarily to support instructions in a static/fixed page layout
Early medieval pottery dataset of Lyminge, Kent, 2008-2015.
Get PDFFull dataset of early medieval pottery excavated from Lyminge, Kent, between 2008 and 2015. Collected during PhD research between January-May 2018. Dataset recording 17,388 pottery sherds, weighing 144,856g, representing a maximum estimated vessel equivalent of 15,985 pottery vessels, and associated numbered fabric descriptions. Recorded data fields include: context number and type, feature type, fabric number and ware group, ware period, import type, sherd type and form, vessel form, percent of rim represented and estimated rim diameter, sherd count, weight, decoration, surface treatment, evidence of use. Associated PDF details fabric number descriptions as recorded in dataset
START project: data from two tablet-PC based tasks measuring social reward responsivity in a UK sample
No full textThis dataset was collected in a public event for children in 2017. Children between ages 3-9 years were invited to take part in the study. Both tasks were presented on a tablet PC (Samsung 10.1 tablet SM P600) running the START app. Details of the app and the START project are available at the https://startproject.bhismalab.org.
Related publication: Dubey, I., Brett, S., Ruta, L., Bishain, R., Sharat Chandran, Bhavnani, S., Belmonte, M.K., Lockwood Estrin, G., Johnson, M., Gliga, T., and Chakrabarti, B., on behalf of the START consortium. (2022), Quantifying preference for social stimuli in young children using two tasks on a mobile platform. PLOS One, Accepted
Raw data of an experiment to assess the effect of plant residue size, quality, and diversity, applied as mulch, on soil nutrient dynamics, on Arbuscular Mycorrhizal Fungi root colonization, and on crop plant yield and quality.
No full textThis dataset concerns an experiment conducted in rhizotrons in 2018 at the University of Reading in UK. Two barley plants were grown in each rhizotron, and mulch of diverse plant residues were applied. The purpose of the experiment was to assess the effect of size, quality, and diversity of plant residue mulch on soil nutrients, on Arbuscular Mycorrhizal Fungi root colonization, and on crop plant yield and quality. There were four different types of plant residues: i) Perennial rye grass (P) (1 plant species), ii) Smart grass (S) (6 plant species), iii) Biomix (B) (12 plant species), and iv) Herbal mix (H) (17 plant species). Each residue type was separated in a short residue treatment (residue size 1.5 cm), and in a long residue treatment (residue size about 30 cm) and there was also a Control treatment with no residues. Therefore, there were 9 different treatments in total. Soil samples were collected on day 70 and on day 137 after mulch application. The dataset consists of 3 parts:
i) data relevant to the barley plants (Hordeum vulgare L., var. Laureate) which were cultivated in rhizotrons. Data characteristics recorded concern the growth rate of barley plants (main stem elongation rate, length of ears), the dry mass of different parts of the barley plants (overground plants, roots, ears, and seeds), seed quality (C, N, and protein content), yield, and Arbuscular Mycorrhizal Fungi root colonization,
ii) data relevant to the plant residues that were applied as mulch on the soil surface of the rhizotrons. Data characteristics recorded concern plant residue initial dry mass, recalcitrance, C and N content, and final plant residue dry mass, C and N content,
iii) data relevant to the soil of the rhizotrons. Data characteristics recorded concern soil available N as NO3- and NH4+, soil available P, K, Mg, Fe, Mn, Zn, and Cu, soil bulk density, and soil solution pH
Images supporting 'Fully automated platelet differential interference contrast image analysis via deep learning'
Get PDFThis dataset supports the publication 'Fully automated platelet differential interference contrast image analysis via deep learning' submitted to the journal Scientific Reports. All data was gathered or generated at the University of Reading from 2020 to 2021.
This dataset consists of i) 120 training images used to train a convolutional neural network (CNN) to automate platelet analyses, ii) 12 test images independent from the training images to test the CNN performance, and iii) a total of 225 8-bit images (representative of 3 independent experiments, with five fields of view captured per condition) of platelets spread over three different substrates (CRP-XL, fibrinogen, and vWF) and in the presence or absence of inhibitors (dasatinib, ibrutinib and PRT-060318) or an agonist (thrombin). These inhibitors and agonist are known to impact platelet morphology, and were used to assess the CNN�s performance on morphological extremes.
The original 16-bit images with dimensions 2424x2424 were rescaled and converted to 970x970 8-bit images to reduce the file size using ImageJ. All images within this dataset are the 8-bit images
WF16 bird bone data from 2008-2010 excavation
Get PDFAn Excel workbook containing the data acquired from the analysis of bird bones from the 2008-2010 excavation at the Neolithic site of WF16, southern Jordan
Data used in the article 'Physical and chemical characterisation of conventional and nano/emulsions: influence of vegetable oils from different origin'
Get PDFThis dataset contains data obtained from experimental work on the physical and chemical properties of oils, conventional and nanoemulsions. The data was obtained using a high-speed homogenizer, an ultrasound processor, a high-pressure homogenizer, a gas chromatographer equipped with a flame ionization detector (fatty acid composition), a spectrophotometer, a Chroma Meter, a rheometer (viscosity) and a dynamic light scattering (DLS) instrument (mean droplet diameter, polydispersity index and ?-potential)
Data used in the article ‘Development of saturated fat replacers: conventional and nano-emulsions stabilised by lecithin and hydroxylpropyl methylcellulose’
Get PDFThis dataset contains data obtained from experimental work of the effect of hydroxylpropyl methylcellulose (HPMC) type (with low and high content of methyl and hydroxypropyl groups: HPMC-L and HPMC-H) and concentration (4, 6, 8 and 10% w/w of HPMC-L and 2, 3, 4 and 5% w/w of HPMC-H) on the formation, stability, and microstructure of conventional emulsions and nanoemulsions made with extra virgin olive oil, and stabilised with lecithin and HPMC. The data was obtained using a high-speed homogenizer and a high-pressure homogenizer to form the emulsions; a dynamic light scattering (DLS) instrument (mean droplet diameter, polydispersity index and ζ-potential), a spectrophotometer (TBARS), a Chroma Meter (colour), a rheometer (viscoelasticity and thermogelation), a pendant drop analyser (surface tension), and a texture analyser (firmness and spreadability)
The Reading Palaeofire Database v1b: an expanded global resource to document changes in fire regimes from sedimentary charcoal records
Get PDFWildfires have major impacts on terrestrial ecosystems, the global carbon cycle, atmospheric chemistry and climate. Charcoal records from sedimentary sequences provide a way to reconstruct palaeofire regimes at different temporal and spatial scales and are a key resource to improve our understanding of the drivers of wildfires. The RPD is an updated and expanded database of global charcoal records, accompanied by new Bayesian age models. This is an updated version of the RPD (RPDv1b), with updates to site, entity, sample and date_info metadata and the inclusion/updating of age models for 233 entities. The database contains 1676 charcoal records from 1480 sites worldwide. Age models have been run for 829 of the charcoal records