1401 research outputs found
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Sexism of Fat: Is it sufficient to use only one sex in obesity research?
There is a weight issue weighing down the public health care systems across the world. Although obesity is prevalent in both males and females, the location of fat and impact on cardiometabolic health is strikingly different. These differences are apparent in the clinical setting, but there remains a bias towards using a single sex in mouse models to create simpler and cheaper experiments. The bias towards using a single sex in experiments skews the results and only offers translational research to one half of the human population. We examined sex differences and their effect on obesity by inducing obesity in both male and female mice by feeding them high fat diet (HFD) for 10 weeks. Mice were weighed weekly and after 10 weeks of HFD feeding, mice underwent metabolic tests to determine the impact of obesity. Male mice became obese after only 1 week of HFD feeding, however it took female mice 9 weeks of HFD feeding to become obese. Male mice were more susceptible to diabetes and male mice lost increased metabolic difference when fed HFD. This study highlights the importance of using both sexes to study obesity and associated diseases while highlighting novel differences in metabolism between sexes
All-atom Ndc80C trajectories, KOBRA parameterisation and validation
Raw data and Python scripts that generate the plots seen in 'KOBRA: A Fluctuating Elastic Rod Model for Slender Biological Macromolecules'. The MD trajectories are in the AMBER format. For KOBRA trajectories, download FFEA from ffea.bitbucket.io. The python scripts are mixed between Python 2.x and python 3.x. MDAnaysis, ISAMBARD, SCWRL4, PyMOL, VMD and PyPCAZip are recommended
Data for “On-chip analysis of atmospheric ice-nucleating particles in continuous flow”
Ice-nucleating particles (INPs) are of atmospheric importance because they catalyse freezing of supercooled cloud droplets, strongly affecting the lifetime and radiative properties of clouds. There is a need to improve our knowledge of the global distribution of INPs, their seasonal cycles and long-term trends, but our capability to make these measurements is limited. Atmospheric INP concentrations are often determined using assays involving arrays of droplets on a cold stage, but such assays are frequently limited by the number of droplets that can be analysed per experiment, often involves manual processing (e.g. pipetting of droplets), and can be susceptible to contamination. Here, we present a microfluidic platform, the LOC-NIPI (Lab-on-a-Chip Nucleation by Immersed Particle Instrument), for the generation of water-in-oil droplets and their freezing in continuous flow as they pass over a cold plate. LOC-NIPI allows the user to define the number of droplets analysed by simply running the platform for as long as required. The use of small (~100 µm diameter) droplets minimises the probability of contamination in any one droplet and therefore allows supercooling all the way down to homogeneous freezing (around −36 °C), while a temperature probe in a proxy channel provided an accurate measure of temperature without the need for temperature modelling. The platform was validated using samples of pollen and Snomax®, with hundreds of droplets analysed per temperature step and thousands of droplets being measured per experiment. Homogeneous freezing of purified water was studied using >10,000 droplets with temperature increments of 0.1 °C. The results were reproducible, independent of flow rate in the ranges tested, and the data compared well to conventional instrumentation and literature data. The LOC-NIPI was further benchmarked in a field campaign in the Eastern Mediterranean against other well-characterised instrumentation. The continuous flow nature of the system provides a route for the future development to automated monitoring of atmospheric INP at field sites around the globe
Geographical Data Science and Spatial Data Analysis: Prescribing Data
The dataset contains "lsoa_sf" - UK wide census data; "social" - national census attribute data from Nomisweb (ONS);
"patients" open data from NHS Digital (http://digital.nhs.uk/catalogue/PUB22008); "postcodes" - open data from the Office for National Statistics, February 2017; "prescriptions" - open prescribing data from UK government Open Data portal (~120 million records); "practices" - this was also downloaded from the same place as "prescriptions" (https://data.gov.uk/dataset/176ae264-2484-4afe-a297-d51798eb8228/gp-practice-prescribing-data-presentation-level)
Data for 'Pollutant emission reductions deliver decreased PM2.5-caused mortality across China during 2015–2017'
This dataset accompanies the paper 'Pollutant emission reductions deliver decreased PM2.5-caused mortality across China during 2015–2017.' This paper used the WRF-Chem model to simulate air quality over China during 2015-2017. Two model runs are performed, one with changing emissions, and the other with fixed emissions. The data for PM2.5, Ozone, NO2 and SO2 are analysed. The model data generated was compared with a comprehensive set of measurements collected by the China National Environmental Monitoring Centre (CNEMC). Using the TheilSen estimator, trends in that data collected at each station are calculated. Time series are extracted by interpolation at the locations of the measurement stations from the model fields, and the trend in this modelled data is calculated using the same method. The comparison of the trends from the measurements and both model runs is used to determine whether trends were driven primarily by emissions changes or meteorological variability. This dataset contains the calculated trend at each station from the measurements and each model run. It also contains measurement data time series for each station in the CNEMC network. This has been updated with the latest data and now covers the period 2014-05-13 to 2020-06-06.
The measurement data is attributed to Xiaolei Wang (https://quotsoft.net/
Dual Resonance Phonon Photon Phonon THz QCL - data.
Dataset that corresponds to work on dual resonant phonon THz QCL. Dataset consists of all figures presented in the paper given as Grace files and simulation data given in Excel files
Dimension-reduction of dynamics on real-world networks with symmetry - network data.
Network data for the paper "Dimension-reduction of dynamics on real-world networks with symmetry". This includes, for each network:
(i) network data in a format readable by the sparse graph automorphism generator code saucy (http://vlsicad.eecs.umich.edu/BK/SAUCY/)
(ii) output from the sparse graph automorphism generator code
(iii) GAP (https://www.gap-system.org) readable information derived from the saucy output
(iv) csv file containing number of orbits representatives (i.e. |S/G| for binary state-space S and automorphism group G)
This data can be used to identify real-world networks with significant lumping, i.e. cases where network symmetries facilitate the exact mathematical analysi of dynamical processes (specifically binary state-space single-vertex-transition models) on those networks.
The networks were originally downloaded from http://networkrepository.com, licensed under a Creative Commons Attribution-ShareAlike License
Data to support study of Structure:Function Relationships for Thermal and Light-Induced Spin-Crossover in Isomorphous Molecular Materials
The complicated behaviour of a family of isostructural solvates under light-induced spin state trapping probably reflects the consequences of reorientation of the lattice solvent during the spin-transition process
Empirical datasets for Energy and Built Environment journal article 'Decomposing the drivers of residential space cooling energy consumption in EU-28 countries using a panel data approach'
This dataset includes the empirical datasets for the Energy and Built Environment journal article: Andreas Andreou, John Barrett, Peter G. Taylor, Paul E. Brockway, Zia Wadud, Decomposing the drivers of residential space cooling energy consumption in EU-28 countries using a panel data approach, Energy and Built Environment (2020)
doi: https://doi.org/10.1016/j.enbenv.2020.03.005
This data set contains one Excel file, two R software scripts and a supporting R data file
Kiel Uprising: Women's activism and the German Revolution November 1918 - Documentary
This dataset includes a documentary film including footage from the play and interviews with the cast, crew and audience, the programme notes and some photographs of the play