398 research outputs found
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ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation
No full textThe ERA5 reanalysis data (1979-2018) has been used to calculate the three-hourly country aggregated wind and solar power generation for 28 European countries based on a distribution of wind and solar farms which is considered to be representative of the current situation (2017). In addition a corresponding daily time series of nationally aggregated electricity demand is provided. The datasets have been produced to investigate the inter-annual variability of the three weather-dependent power system components.
** Issues with the timestamps in the 3-hourly wind and solar power in this dataset were identified, and a corrected version is available at http://dx.doi.org/10.17864/1947.273. *
Modern pollen data for climate reconstructions, version 1 (SMPDS)
Get PDFThe dataset contains percentage counts for the 247 most important European pollen taxa from individual modern samples from Europe and northern Eurasia, and supporting metadata about each sample. The dataset has been specifically designed for use for quantitative climate reconstructions
Children with anxiety disorders in primary care: the views of general practitioners II (CADPC II)
Get PDFThis dataset was generated to examine the extent to which GPs experience barriers and facilitators to identifying, managing and accessing specialist services for these disorders, as well as factors associated with GPs' confidence. It contains a cross-sectional, self-report questionnaire in primary care, addressing identification, management and access to specialist services for children (under 12 years) with anxiety disorders, using a five point Likert scale. Some demographic information was provided by GPs. The participants were 971 GPs in England
Climatological summaries of Thomas Hughes� meteorological data, for Stroud, UK (1775-1813)
No full textThis submission provides tables of monthly meteorological and geophysical data from Gloucestershire 1771-1813, and obtained in Stroud specifically from 1775-1813. The data provide rainfall (amounts and number of rain days), surface pressure, thunderstorm days, snow days and auroral nights.
The values have been extracted from the Weather diary of Thomas Hughes, a Gloucestershire surgeon and apothecary. The original diary belongs to the Royal Meteorological Society and is kept as three bound volumes in the National Meteorological Archive
Dataset to support lipid profiling of bacteria using liquid AP-MALDI MS
No full textThis dataset contains mass spectrometry raw data files, multivariate models and cross-validation reports for principle component analysis. The samples used for data acquisition were bacterial extracts from 10 species including C. jejuni, E. coli, E. faecalis, E. hirae, K. pneumoniae, L. brevis, P. aeruginosa, S. aureus, S. epidermidis and S. pyogenes.
The instrumental setup used to acquire the data was an in-house built atmospheric pressure MALDI source and all bacterial extracts were analysed as liquid samples.
All data presented was obtained between March 2019 to August 2019
Dataset to support AP-MALDI native ion mobility-mass spectrometry using liquid samples.
No full textThe dataset contains ion mobility-mass spectrometry data used for figures in the article, 'Atmospheric pressure ultraviolet laser desorption and ionization from liquid samples for native mass spectrometry', submitted for review in Summer 2019 by Hale and Cramer.
Files in the root of the folder relate to figures 1 (native and denatured HEWL ions) and 2 (arrival time distribution plots for the ions shown in figure 1) in the article.
Files in the 'HEWL CIU' folder were used for the CIU figures (showcasing unfolding of folded HEWL ions) in the supporting information
Royal Berkshire Hospital Maternity building temperature measurements (July-August 2018).
Get PDFThis dataset contains raw temperature measurements of the internal temperatures measured during pre-heatwave conditions around the Maternity and Gynaecology building of the Royal Berkshire Hospital. The work was a pilot scheme to understand the overheating occurring within the department and what could be done to prevent it and to improve patient safety. Sensors were deployed for 2 months (July-Aug 2018).
Full details can be found in Gough et al, in review: 'Assessment of overheating risk in gynaecology scanning rooms during near-heatwave conditions: a case study of Royal Berkshire Hospital in the UK', in International Journal of Environmental Research and Public Health.
This data collection would not have been possible without the help of the Royal Berkshire Hospital and its staff
A new multi-variable benchmark for Last Glacial Maximum climate simulations
No full textReconstruction of climate anomalies for the Last Glacial Maximum (LGM, c.a. 21,000 years ago), made by combining pollen based reconstructions (from Bartlein et al. 2011) and averaged outputs of LGM simulations from the 3rd round of the Palaeoclimate Model Intercomparison Project (PMIP, Braconnot et al. 2011), under a variational data assimilation technique. This reconstruction is designed to be used for data-model comparison, specifically against the results of PMIP4. The dataset consists of 6 variables: moisture index (the ratio precipitation and equilibrium evapotranspiration), mean annual precipitation (mm), mean annual temperature (degrees C), mean temperature of the coldest month (degrees C), mean temperature of the warmest month (degrees C), growing degree days above 5 degrees C (day degrees C). The standard deviation of these variables is also given.
This version of the dataset has been withdrawn because of an error discovered in the data file. The method of accounting for CO2 change was being applied to all pollen observations, whereas it should not be applied to observations generated from model inversion. The corrected version of the dataset is published at http://dx.doi.org/10.17864/1947.206
The climatic space of European pollen taxa
Get PDFPollen data are widely used to reconstruct past climate changes, using relationships between modern pollen abundance in surface samples and climate at the surface sample sites. Visualisation of these data in multi-dimensional climate space provides an important way to establish that pollen taxon abundances are well-behaved before using them in climate reconstructions, but visualisation can also be helpful for ecological interpretation of the pollen diagrams. Here we present data created using Generalized Additive Models (GAMs) on the distribution of 195 European pollen taxa in climate space defined by seasonal temperature, as defined by the mean temperature of the coldest month (MTCO) and growing degree days above a baseline of 0°C (GDD0), and an annual moisture index (MI) expressed as the ratio of annual precipitation to annual potential evapotranspiration. These models can be used to explore the realised climate niche of individual pollen taxa and to build statistical models for climate reconstruction
Polluted cloud tracks detected in MODIS satellite images
No full textThe dataset contains positions and time of occurrence of polluted cloud tracks. These cloud tracks polluted by aerosols have increased cloud droplet number concentrations compared to the nearby unpolluted clouds. The locations of polluted cloud tracks in MODIS satellite images have been hand-logged at various anthropogenic and natural aerosol sources over land and ocean