DataCat: The Research Data Catalogue (University of Liverpool)
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Supporting Information for Thesis titled "Cheminfomatics: Quantitative Structure Property Relationship Studies on Ames Mutagenicity and Surfactants Properties, and Small Molecule Library Visualisation"
No full textSupporting Information for Thesis titled "Cheminfomatics: Quantitative Structure Property Relationship Studies on Ames Mutagenicity and Surfactants Properties, and Small Molecule Library Visualisation
Single crystal growth and properties of the polar ferromagnet Mn1.05Bi with Kagome layers, huge magnetic anisotropy and slow spin dynamics
No full textDescription of data can be found in README file. Contains AC and DC magnetic data, cif, resistivity and heat capacity data for single crystalline Fdd2 Mn1.05B
The time course information about the pea seeds germination
No full textTime course analysis of weight of seed, thickness of seed coat and seed diameter in 40 hours after seed soaked in water.
And the timing of the emergence of critical indicators during the germination of 10 seeds
Genotypes of field voles from Kielder Forest
No full textImmune and control genotypes of field voles from Kielder Forest used for linking immune genotype to phenotype and for paternity analysi
Phenotypic and immunological data of field voles
No full textPhenotypic and immunological data of field voles (Microtus agrestis) sampled in Kielder Forest, where spleenocytes are assayed using qRT-PCR in a study of the effects of environmental sources of immunological variatio
The global distribution of known and undiscovered ant biodiversity
No full textInvertebrates constitute the majority of animal species and are critical for ecosystem functioning and services. Nonetheless, global invertebrate biodiversity patterns and their congruences with vertebrates remain largely unknown. We resolve the first high-resolution (~20-km) global diversity map for a major invertebrate clade, ants, using biodiversity informatics, range modelling, and machine learning to synthesize existing knowledge and predict the distribution of undiscovered diversity. We find that ants and different vertebrate groups have distinct features in their patterns of richness and rarity, underscoring the need to consider a diversity of taxa in conservation. However, despite their phylogenetic and physiological divergence, ant distributions are not highly anomalous relative to variation among vertebrate clades. Furthermore, our models predict rarity centers largely overlap (78%), suggesting that general forces shape endemism patterns across taxa. This raises confidence that conservation of areas important for small-ranged vertebrates will benefit invertebrates while providing a “treasure map” to guide future discovery
Insights into post-growth doping and proposals for CdTe:In photovoltaic devices
Get PDFResearch data on investigations into n-type CdTe thin film solar cells.
Abstract.
This paper is motivated by the potential advantages of higher doping and lower contact barriers in CdTe photovoltaic devices that may be realized by using n- type rather than the conventional p-type solar absorber layers. We present post-growth doping trials for indium in thin polycrystalline CdTe films using diffusion of indium metal and with indium chloride. Chemical concentrations of indium up to 1019 cm-3 were achieved and the films were verified as n-type by hard x-ray photoemission. Post growth chlorine treatment (or InCl3) was found to compensate the n-doping. Trial structures comprising CdS/CdTe:In verified that the doped absorber structures performed as expected both before and after chloride treatment, but it is recognized that this is not an optimum combination. Hence in order to identify how the advantages of n-type absorbers might be fully realized in future work, we also report simulations of a range of p-n junction combinations with n-CdTe, a number of which have the potential for high Voc
Enhanced charge transport across molecule-nanoparticle-molecule sandwiches
Get PDFData for a study of the electrical conductance of molecule-nanoparticle-molecule junctions
Drosophila paranaensis
No full textA photography collection (lateral, ventral, and dorsal images) of Drosophila paranaensis. Part of a collection of photographs at Drosophoto.co
Prediction of malignant transformation in oral epithelial dysplasia using infrared absorbance spectra
Get PDFOral epithelial dysplasia (OED) is a histopathologically-defined, potentially premalignant condition of the oral cavity. The rate of transformation to frank carcinoma is relatively low (12% within 2 years) and prediction based on histopathological grade is unreliable, leading to both over- and under-treatment. Alternative approaches include infrared (IR) spectroscopy, which is able to classify cancerous and non-cancerous tissue in a number of cancers, including oral. The aim of this study was to explore the capability of FTIR (Fourier-transform IR) microscopy and machine learning as a means of predicting malignant transformation of OED. Supervised, retrospective analysis of longitudinally-collected OED biopsy samples from 17 patients with high risk OED lesions: 10 lesions transformed and 7 did not over a follow-up period of more than 3 years. FTIR spectra were collected from routine, unstained histopathological sections and machine learning used to predict malignant transformation, irrespective of OED classification. PCA-LDA (principal component analysis followed by linear discriminant analysis) provided evidence that the subsequent transforming status of these 17 lesions could be predicted from FTIR data with a sensitivity of 79 ± 5% and a specificity of 76 ± 5%. Six key wavenumbers were identified as most important in this classification. Although this pilot study used a small cohort, the strict inclusion criteria and classification based on known outcome, rather than OED grade, make this a novel study in the field of FTIR in oral cancer and support the clinical potential of this technology in the surveillance of OED
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