DataCat: The Research Data Catalogue (University of Liverpool)
Not a member yet
921 research outputs found
Sort by
Magnetic, Electronic and Thermal properties of buckled kagome Fe3Ge2Sb
Underlying magnetic, heat capacity, resistivity and thermal conductivity data for Fe3Ge2Sb are shown here, along with a cif from the solved structure
Identifying Pig- and Pork-associated Zoonotic and Foodborne Hazards in Eastern and Southern Africa: A Systematised Review (Data extraction table)
Zoonotic and foodborne diseases are a major cause of morbidity and mortality, especially in low- and middle-income countries. Pork is a potential source of zoonotic and foodborne diseases, and pork consumption is rapidly increasing in Eastern and Southern Africa (ESA). Here, studies conducted in ESA describing pig- and pork-associated zoonotic and foodborne hazards were identified to clarify the distribution and prevalence of these hazards and identify research gaps to determine the potential foodborne risk from pork consumption in this region. A systematised literature review was conducted using MEDLINE (PubMed) and Web of Science to identify relevant articles according to pre-determined inclusion/exclusion criteria. Information was extracted from the eligible articles, and the zoonotic and foodborne hazards were identified and analysed. In total, 140 articles from 14 countries were identified for review. Identified hazards were categorised as bacterial, viral, parasitic, arthropodal, or other, including drug residues. Parasites were the most commonly studied hazards (N=77 articles). Among all identified hazards, Taenia spp. (40) was the most often studied, followed by Salmonella spp (21), Escherichia coli (17), and Staphylococcus spp (9). A total of 42 hazards were identified in the present study, 18 of which are identified within the World Health Organization Foodborne Disease Epidemiology Reference Group (FERG)’s estimate of disease burden. Considering the increase in pork consumption in ESA, the research gaps identified within this study should be addressed. Both country-specific and pig- and pork-specific research is required to determine baseline data on the epidemiology and health and economic burden associated with pig and pork-borne hazards and appropriate strategies are needed to mitigate the risk these hazards pose to communities
Statistics anxiety and predictions of exam performance in UK Psychology students
Dataset of variables used in analysis of statistics anxiety and role of self-prediction
Recognition and order of multiple sidechains by a porous framework enhances molecular separation
Porous materials perform molecular sorting, separation and transformation by interaction between their framework structures and the substrates. Proteins also interact with molecules to effect chemical transformations, but benefit from the precise amino acid sequencing along a common polypeptide backbone to maximise their performance. Design strategies that positionally order sidechains over a defined porous framework to diversify the internal surface chemistry would enhance control of substrate processing. Here we show that different sidechains can be ordered over a common porous scaffold through recognition of their distinct chemistries during synthesis . The sidechains are recognised because each one forces the building unit that defines the backbone of the framework into a different conformation in order to form the same structure . This affords hexane isomer separation performance superior to that of the same framework decorated with only a single sidechain. The separated molecules adopt distinct arrangements within the resulting modified pore geometry, reflecting their more strongly differentiated environments precisely created by the ordered sidechains. The development of framework-forming chemistries that recognise, distinguish and thus order multiple sidechain functionality offers tailoring of the internal surfaces within families of porous materials to direct interactions at the molecular level
Geographically Weighted Regression Analysis: Exploring the Relationship between Median Age in LSOAs and Hearing Loss Prevalence in Adults (50 years old and above) in Cheshire and Merseyside ICS, 2020. An Interactive Map Application
Geographically Weighted Regression Analysis: Exploring the Relationship between Median Age in LSOAs and Hearing Loss Prevalence in Adults (50+) in Cheshire and Merseyside ICS, 2020.
For more detailed information on this type of spatial analysis, please visit https://pro.arcgis.com/en/pro-app/latest/tool-reference/spatial-statistics/geographically-weighted-regression.ht
Dataset for: Do marine planktonic ciliates follow Bergmann’s rule?
This is a dataset used for the paper entitled "Do marine planktonic ciliates follow Bergmann’s rule?" by Liu et al. This dataset includes the mean cell-size of ciliate community obtained from 282 samples from 154 stations covered from 20°S to 65°N. It also contains the biomass of ciliate community, the corresponding environmental parameters including seawater temperature and Chlorophyll a concentration (Chla), and the proxy for phytoplankton (prey) size estimated by two methods (see paper for details)
A Proxy for Oxygen Storage Capacity from High-throughput Screening and Automated Data Analysis
Oxygen storage and release is a foundational part of many key pathways in heterogeneous catalysis, such as the Mars-van Krevelen mechanism. However, direct measurement of oxygen storage capacity (OSC) is time-consuming and difficult to parallelise. To accelerate the discovery of stable high OSC rare-earth doped ceria-zirconia oxygen storage catalysts, a high-throughput robotic-based co-precipitation synthesis route was coupled with sequentially automated powder X-ray diffraction (PXRD), Raman and thermogravimetric analysis (TGA) characterisation of the resulting materials libraries. Automated extraction of data enabled rapid trend identification and provided a data set for the development of an OSC prediction model, investigating the significance of each extracted quantity towards OSC. The optimal OSC prediction model produced incorporated variables from only fast-to measure analytical techniques and gave predicted values of OSC that agreed with experimental observations across an independent validation set. Those measured quantities that feature in the model emerge as proxies for OSC performance. The ability to predict the OSC of the materials accelerates the discovery of high-capacity oxygen storage materials and motivates the development of similar high-throughput workflows to identify candidate catalysts for other heterogeneous transformations
Local Structure in Disordered Melilite Revealed by Ultrahigh Field 71Ga and 139La Solid-State Nuclear Magnetic Resonance Spectroscopy
Multinuclear Nuclear Magnetic Resonance (NMR) spectroscopy of quadrupolar nuclei at ultrahigh magnetic field provides compelling insight into the short-range structure in a family of fast oxide ion electrolytes with La1+xSr1-xGa3O7+0.5x melilite structure. The striking resolution enhancement in the solid-state 71Ga NMR spectra measured with the world's unique series connected hybrid magnet operating at 35.2 T distinctly resolves Ga sites in four- and five-fold coordination environments. Detection of five-coordinate Ga centers in the site-disordered La1.54Sr0.46Ga3O7.27 melilite is critical given that the GaO5 unit accommodates interstitial oxide ions and provides excellent transport properties. This work highlights the importance of ultrahigh magnetic fields for the detection of otherwise broad spectral features in systems containing quadrupolar nuclei and the potential of ensemble-based computational approaches for the interpretation of NMR data acquired for site-disordered materials
Single-Molecule Conductance Data for a set of organometallic "molecular bundles"
As in title. Entry contains both raw data acquired and custom software used for its processing to ASCII tables, which can then be analysed and plotted using any graphing software
NMR and Single-Molecule Conductance Data for a set of chalcogenophenes and parent compounds
As in title - single-molecule conductance as STMBJ data (both raw and processed), and NMR data as Bruker FIDs