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A new multi-variable benchmark for Last Glacial Maximum climate simulations
No full textReconstruction of climate anomalies for the Last Glacial Maximum (LGM, ca 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 dataset supersedes the version published at http://dx.doi.org/10.17864/1947.206, where the spatial and temporal correlations used with the PMIP data were based on a Gaussian function, instead of a Bessel function
A new multi-variable benchmark for Last Glacial Maximum climate simulations
No full textReconstruction of climate anomalies for the Last Glacial Maximum (LGM, ca 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 dataset supersedes the version published at http://dx.doi.org/10.17864/1947.197, where the method of accounting for CO2 change was being applied incorrectly
Practice effects in repeated cognitive testing - an investigation of the stability of cognitive task performance over time
Get PDFThis dataset contains supplementary data for the publication Bell, L., Lamport, D. J., Field, D. T., Butler, L. T., & Williams, C. M. (2018). Practice effects in nutrition intervention studies with repeated cognitive testing. Nutrition and Healthy Aging, 4(4), 309-322, https://doi.org/10.3233/NHA-170038. The data was collected as part of a PhD investigating the impact of a nutrition intervention on cognitive function in young adults. This dataset was collected to investigate practice-related improvements in cognitive task performance occurring from repeated cognitive testing alone, irrespective of any intervention. Participants performed 6 sessions of cognitive testing (2 sessions spaced 1 hour apart, on 3 separate visits each spaced 1 week apart). The cognitive tasks investigated were episodic memory recall, Stroop, serial subtraction, and Sternberg tasks. Mood changes were recorded using mental fatigue, and PANAS questionnaires. All tasks were programmed and performed on a personal computer using E-Prime software. In addition to performing the cognitive tasks, participants were asked to rate their motivation and the difficulty of each task on a separate questionnaire. The dataset was used to inform on the stability of cognitive task performance over time
MERRA derived hourly time series of GB-aggregated wind power, solar power and demand
No full textMERRA reanalysis data (1980-2015) have been used to estimate the hourly aggregated wind and solar power generation for Great Britain based on a distribution of wind and solar farms which is considered to be representative of the current situation (June 2017). In addition a corresponding hourly time series of nationally aggregated (for Great Britain) electricity demand has been determined. The data have been produced to understand the long term variability of the renewable generation and the possible implications for UK power system
Dataset associated with the article 'Exploiting Open Source 3D printer architecture for laboratory robotics to automate high-throughput time-lapse imaging for analytical microbiology'
Get PDFThis dataset is for data analysis associated with the article 'Exploiting Open Source 3D printer architecture for laboratory robotics to automate high-throughput time-lapse imaging for analytical microbiology'. It contains the raw images and Excel analysis of microtitre plates (MTP) and microcapillary film (MCF) for milk matrix experiments, POLIR quantification, and first experiment testing fluorescence on POLIR
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.
Data in 'Data_Sep_2019' were collected in September 2019 after initial review of the article. Data were collected for the proteins ubiquitin (Ubi), myoglobin (Myo) and concanavalin A (ConA) under native conditions. Ubiquitin and myoglobin data were also acquired under denaturing conditions for calibration of the TWIMS device
Measures of performance difference in verbal fluency in Bengali-English bilingual and English monolingual speakers
Get PDFWe investigated the contribution of linguistic and executive control processes in verbal fluency performance for young healthy Bengali-English bilingual and English monolingual speakers. We collected verbal fluency data, executive control data and detailed background measures to characterize each participant. This dataset contains the transcribed one-minute verbal fluency data from semantic fluency trials (animals, fruits and vegetables, and clothing) and letter fluency trials (F, A, S) in English from 25 Bengali-English bilinguals and 25 English monolinguals. The verbal fluency task was collected using audio recorder, later transcribed orthographically. Demographic information and vocabulary testing data were collected using paper and pen tasks. Information on bilingualism was assessed through questionnaires for bilingual participants. Executive control tasks were assessed using computer based tasked and were programmed and delivered using E-Prime. The groups were matched for receptive vocabulary, age, education and non-verbal intelligence.
The dataset includes six datasheets. They include following data and their codes: 1) demographic details for each participant (age, sex, education) along with their background measures on vocabulary and IQ, executive control tasks (Stroop, task switching task, and backward digit span); 2) details of bilingual language profiles for bilingual participants; 3) time-stamped verbal fluency data for each item for every trial for each individual participant; and 4) mean values of several verbal fluency measures (e.g., clustering and switching analysis, time course analysis).
These data could be used by future researchers to answer their specific questions regarding verbal fluency performances amongst different language users (e.g., monolinguals vs. bilinguals) as well as cognitive and linguistic underpinnings of the task (e.g., executive control measures, bilingualism measures, vocabulary measures).
Dataset accompanying the paper entitled: Patra A, Bose A, Marinis T (2019). Performance difference in verbal fluency in bilingual and monolingual speakers. Bilingualism: Language and Cognition 1�15. https://doi.org/10.1017/S136672891800109
Fossil pollen data for climate reconstructions from El Cañizar de Villarquemado
Get PDFThe sedimentary sequences from El Canizar de Villarquemado provide a palaeoenvironmental record from the western Mediterranean Basin spanning the interval from the last part of MIS6 to the late Holocene. Wei et al. (2019) have used Weighted Averaging Partial Least-Squares (WA-PLS) regression to derive quantitative reconstructions of winter and summer temperature regimes from the pollen data, expressed in terms of the mean temperature of the coldest month (MTCO) and growing degree days above a baseline of 0° C (GDD0) respectively, and a moisture index (MI), the ratio of annual precipitation to annual potential evapotranspiration, taking account of the effect of low CO2 on water use efficiency. Since Wei et al. (2019) used the SMPDS (Harrison, 2019: http://dx.doi.org/10.17864/1947.194) to derive modern pollen-climate relationships, the fossil pollen data from El Canizar de Villarquemado were assigned to the subset of pollen taxa recognised in the modern dataset. In addition to removing obligate aquatics, insectivorous plants, cultivated plants and non-native species, this involved amalgamating some taxa to a higher taxonomic level. There are 104 taxa represented in the final taxon list from El Canizar de Villarquemado. This dataset contains the pollen counts for the subset of the taxa that have been used to make climate reconstructions by Wei et al. (2019)
Perceptions of physicians in Saudi Arabia on the use of international clinical guidelines for managing primary insomnia
Get PDFThis dataset is comprised of verbatim transcriptions from recordings of face-to-face interviews with physicians who are authorised to prescribe benzodiazepines and z-drugs at King Fahad Central Hospital in Jazan, Saudi Arabia. Interviews were conducted to understand physicians� perceptions of and attitudes towards using international guidelines to manage their patients with insomnia. Verbatim transcripts of the interviews were entered into NVivo 11 and analysed using thematic analysis. Themes were generated from the data expressing physicians� knowledge of, resistance to, and barriers and facilitators to the use of international guidelines
Model output for perturbed biology and physics signatures in a 1-D ocean biogeochemical model ensemble
No full textThe dataset is generated from running MEDUSA-1.1. model in a 1-D emulator (MarMOT) to compare the effect of perturbing the biogeochemistry, physics, and both to the model outputs, particularly the distribution of DIN, phytoplankton (chlorophyll) and zooplankton. The characteristic signatures are obtained from the anomaly concentrations of these model variables in the surface. The model is run at five oceanographic stations: BATS, ALOHA, Cariaco, PAP, and L4 which are stored in separate folders. The model outputs are written in ASCII, and separated by space. Each folder comprises three sub-folders, which include the model output for the perturbed biogeochemistry ensemble (pbe), perturbed physics ensemble (ppe), and perturbed biology physics ensemble (pbpe)