cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17864/1947.170
title: Source codes of MATLAB program for the dynamic thermophysical process modelling of a typical 3-occupant residential apartment in the HSCW zone

description: The dataset provides the source codes of MATLAB program for building dynamic thermophysical process modelling of a typical 3-occupant residential apartment identified in the HSCW (Hot Summer and Cold Winter) zone of China. The plain layout of the 3-occupant residential apartment is provided in a separate introduction document. Three versions of programs are available to calculate the cases of free room temperatures without energy supply, ideal building heating and cooling loads with fixed room target temperatures, and building heating and cooling loads with room target temperature control bands, respectively. The model is developed based on the State-Space Method, with a view to investigating the impact of thermal mass of external walls on residential buildings in the part time part space heating and cooling in the HSCW zone. A small time interval can be set manually to get a high-resolution model in particular for the intermittent occupancy pattern. Different scenarios of heating/cooling modes, thermal mass and thermal insulation placements of external walls are considered and three representative cities Chongqing, Changsha and Shanghai in the HSCW zone are chosen as the input weather data. Options in the programs can be chosen and relevant default parameter settings can be changed to be fit for the building simulations of different scenarios.
DOI: 10.17864/1947.175
title: The synoptic meteorology driving the UK’s largest pollution episodes

description: This dataset contains output from an inert-tracer study using the Met Office HADGEM2-GA4 model. The aim of the study was to analyse why omega block events are associated with such hazardous particulate matter (PM) within the UK. The dataset includes HADGEM3-GA4 Chemistry-Climate simulation output and nudged Blocking Index Metrics (blocking index, direction of blocking index and relative importance of air masses Indices) for the same time period. These are calculated on the theta = 2 PVU field (dynamical tropopause).
DOI: 10.17864/1947.174
title: The impact of precipitating hydrometeors on the atmospheric radiation budget

description: This dataset contains atmospheric radiative fluxes and heating rates. These fluxes and heating rates were calculated in order to quantify the effect of precipitating hydrometeors (particularly rain) on the radiation budget of the atmosphere and thereby determine whether climate and weather models should include a treatment of the radiative effect of rain. The dataset includes 4 files. all_hydro.nc and no_rain.nc contain full resolution SW and LW radiative fluxes at the surface and top of atmosphere for calculations that include all hydrometeors and all hydrometeors except rain, respectively. hydro_rad_effects.nc includes results from additional calculations at a lower resolution. case_study_data.nc includes full vertical profiles of radiative fluxes and heating rates at full resolution for 3 points that were chosen as case studies.
DOI: 10.17864/1947.163
title: Simple Sequence Repeat (SSR) Fingerprint data for apples from the National Fruit Collection as used in Ordidge et al PLOS One 2018

description: Data are simple sequence repeat (SSR) genetic fingerprints of the accessions in the apple collection of the National Fruit Collection, Brogdale, UK. The data are called and rounded allele scores, recorded by marker to the nearest base pair. The data represent a reproduction and update of the original SSR dataset from Fernandez-Fernandez F (2010) as detailed in the publication by Ordidge et al., 2018 (PLOS One). A number of alleles were adjusted based on either rescoring and/or recalling of the original data files using Genemapper software and/or reproduction of fingerprints following the original published protocols.
description: See Fernandez-Fernandez F. Fingerprinting the National apple and pear collections. Final report of the Defra research project GC0140. 2010. http://randd.defra.gov.uk/Document.aspx?Document=GC0140SID5FingerprintingFernandez.pdf and Ordidge et al. (PLOS One 2018) for updates.
DOI: 10.17864/1947.176
title: PMIP 2 diagnostic for mid-Holocene precipitation over northern Africa

description: This dataset provides the latitudinal distribution of biomes (reconstructed at individual pollen sites) in northern Africa today and during the mid-Holocene (6000 ±500 yr B.P.) and the maximum and minimum estimates of the increase in precipitation (ΔP) required to support grassland at each latitude. As a model benchmark, the simulated change in ΔP is required to lie above/within the ΔP required to support grassland at all latitudes from 0-23° N.
DOI: 10.5517/ccdc.csd.cc2bpmth
title: CCDC 2165747: Experimental Crystal Structure Determination

description: Related Article: Peter G. Jones, Matthias Freytag, Matthias Reiners, Marc D. Walter|2022|CSD Communication|||
DOI: 10.17864/1947.178
title: Raw and processed neutron reflectometry and infrared spectroscopy data for oxidation of galactocerebroside monolayers

description: 1 - Raw neutron reflectometry event mode data 2 - Reduced reflectivity curves for 20 second slices of neutron reflectivity data 3 - Fitted neutron reflectometry time series plots 4 - Raw infrared spectra and spectra series 5 - Integrated peak areas calculated from IR spectra 6 - Time series plots of IR peak data 7 - Various code used to process the above
description: Neutron Reflectometry; Fourier Transform Infra-Red Reflection Absorption Spectroscopy; Brewster Angle Microscopy; Wilhelmy Plate Pressure-Area Isotherm; Graphs referred to in publication
description: Slicing of NR Event-Mode data into Reflectometry Curves; Fitting of Reflectometry Curves to find surface coverage data; Integration of peak areas from IR spectra
DOI: 10.17864/1947.188
title: Practice effects in repeated cognitive testing - an investigation of the stability of cognitive task performance over time

description: This 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.
DOI: 10.17864/1947.187
title: Simulations with the sea ice model CICE documenting the impact of improved sea ice physics

description: Sea ice thickness data (CryoSat-2) have been used to identify and correct shortcomings in simulating winter ice growth in the widely used sea ice model CICE. Here, we provide the data from CICE simulations documenting the impact of improved sea ice physics and the sensitivity to forcing and initial data. Adding a model of snow drift and using a different scheme for calculating the ice conductivity improve model results. Sensitivity studies demonstrate that atmospheric winter conditions have little impact on winter ice growth, and the fate of Arctic summer sea ice is largely controlled by atmospheric conditions during the melting season. A full description of the data processing and uncertainties is given by Schröder et al. (2018), 'New insight from CryoSat-2 sea ice thickness for sea ice modelling', in The Cryosphere. All simulations are listed in Tables 1 to 3 of this paper.
DOI: 10.17864/1947.179
title: Ash dosage and concentration risk dataset

description: This dataset was generated at the University of Reading (UK) and was funded by NERC under the Environmental Risks to Infrastructure Innovation Programme. The dataset provides data sufficient to plot Figures 2, 3, 4, 6 and 7 presented in Prata et al. (2018). The dataset includes NAME dispersion model output for a control run of a hypothetical Katla eruption, processed data that represent model agreement and risk maps, waypoints produced using flightCode for an air-route from New York (JFK) to London (LHR) return and processed data that represent ash dosage, concentration, model agreement and risk calculated along an air-route from New York (JFK) to London (LHR) return.
DOI: 10.17864/1947.191
title: MERRA derived hourly time series of GB-aggregated wind power, solar power and demand

description: MERRA 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.
DOI: 10.48370/ofd/jba5ep/yiuasw
title: IBL_coll_9761_ArvicolaTerrestris_1949_M_scan_ct.swf

description: :unav
DOI: 10.17864/1947.198
title: Met Office Weather Game Survey 2011

description: This dataset contains game play results and demographic data collected from participants in the 2011 Met Office weather game. The game was designed to determine the best methods of communicating uncertainty in rainfall and temperature forecasts, and to widen public engagement in uncertainty in weather forecasting. Within the ‘ice-cream seller’ scenario of the game participants were asked to make decisions based on rainfall and temperature forecasts presented in different ways. The game was designed with a randomised structure to enable participants to experience being ‘lucky’ or ‘unlucky’ when the most likely forecast scenario did not occur. The database contains the game play selections from over 8000 unique participants and the scores that they achieved in the game. Data were also collected on participant age, gender, location and educational attainment.
DOI: 10.48370/ofd/jba5ep
title: Arvicola amphibius - IBL_9761, Zoological collection of the Mammal Research Institute, PAS

description: Arvicola amphibius (European water vole) from Zoological collection of the Mammal Research Institute PAS. Collected 1949-08-09, in: Białowieża National Park, Poland. Material type: head
DOI: 10.17864/1947.197
title: A new multi-variable benchmark for Last Glacial Maximum climate simulations

description: Reconstruction 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.
description: This dataset is made by combining site-based pollen reconstructions with aggregated outputs of PMIP3. The possible climates are varied and the most likely climate is found under a 3D-Variational data assimilation scheme. The uncertainty from this process is then used to screen out areas where the pollen reconstructions have had a minimal effect. By using a vegetation model, the effect of changing CO_2 concentrations on pollen reconstructions is also accounted for. The error of the resulting reconstruction is also calculated and given as 1 standard deviation from the variables. The individual fields are: grid cell centre latitude grid cell centre longitude moisture index 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 (days degrees C) moisture index standard deviation mean annual precipitation standard deviation (mm) mean annual temperature standard deviation (degrees C) mean temperature of the coldest month standard deviation (degrees C) mean temperature of the warmest month standard deviation (degrees C) growing degree days above 5 degrees C standard deviation (days degrees C).
DOI: 10.17864/1947.205
title: Stakes, scales, and skepticism datasets (The psychology of philosophical thought experiments)

description: The datasets included here were collected online as part of the project: 'The Psychology of Philosophical Thought Experiments' and are forthcoming in 'Stakes, Scales, and Skepticism' (Ergo, 2019). In this project, we were interested in investigating whether there are 'stakes effects on knowledge' – which posits that the 'stakes' or importance of being wrong affects judgments about whether a subject knows a proposition.
description: All data stored were collected online. Qualtrics was used to present scenarios and questions to participants. Amazon Mechanical Turk (MTurk) was used to recruit participants (US) and distribute the Qualtrics experiments.
description: See accompanying documentation (README_Stakes_Scales_and_Skepticism_Data.txt) for information about data processing activities. Screenshots of experimental flows in Qualtrics can be found in the additional documentation (README_Stakes_Scales_and_Skepticism_Data.docx)
DOI: 10.17864/1947.199
title: IS17 gravity wave climatology between 2007 and 2012

description: A list of atmospheric gravity wave parameters from the IS17 infrasound station in Ivory Coast, West Africa between the years 2007 and 2012. A data set for the paper: Marlton, G. J., Charlton‐Perez, A. J., Harrison, R. G., Blanc, E., Evers, L., Le‐Pichon, A., & Smets, P. S. M. (2019). Meteorological source variability in atmospheric gravity wave parameters derived from a tropical infrasound station. Journal of Geophysical Research: Atmospheres, 124. https://doi.org/10.1029/2018JD029372.
description: Data collected by CEA and processed by University of Reading to create a gravity wave climatology.
description: See paper: Marlton, G. J., Charlton‐Perez, A. J., Harrison, R. G., Blanc, E., Evers, L., Le-Pichon, A., & Smets, P. S. M. (2019). Meteorological source variability in atmospheric gravity wave parameters derived from a tropical infrasound station. Journal of Geophysical Research: Atmospheres, 124. https://doi. org/10.1029/2018JD029372 for more details.
DOI: 10.17864/1947.204
title: The climatic space of European pollen taxa

description: Pollen 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.
description: The modern pollen dataset consists of records from 6458 terrestrial sites from Europe, the Middle East and Eurasia. Climatological values (1961-1990) of mean monthly temperature, precipitation, and fractional sunshine hours were obtained from the CRU CL v2.0 gridded dataset.
description: Geographically weighted regression in ArcGIS was used to correct for elevation differences between the CRU grids and the pollen sites, using a fixed bandwidth kernel of 1.06° (~140km). The climate of each pollen site was estimated based on its longitude, latitude, and elevation. MTCO was taken directly from the GWR regression; GDD0 was estimated from daily data using a mean-conserving interpolation of the monthly mean temperatures. MI was calculated for each pollen site using SPLASH v1.0, based on daily values of precipitation, temperature and sunshine hours obtained using a mean-conserving interpolation of the monthly values of each. The GAMs were implemented with the mgcv R package. MI was square root transformed, since differences between MI values at the dry end have a bigger effect than differences at the wet end on vegetation. Logistic models were constructed. Interaction terms were not included, because we assume that each bioclimatic variable has an independent influence on taxa distribution. The fitted response surfaces show pollen taxon abundance in climate space. Convex hulls, implemented using the alphahull package in R, were used to delineate the area with samples and avoid representing parts of the fitted surface that are not closely constrained by data. We sample the resultant GAMs at regular intervals across the range spanned by each climate variable to derive estimates of taxon abundance, sampling each GAM at increments of 0.6°C for MTCO, 100 degree days for GDD0 and 0.03 for √MI (unitless).
DOI: 10.17864/1947.207
title: Measures of performance difference in verbal fluency in Bengali-English bilingual and English monolingual speakers

description: We 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 1ï¿½15. https://doi.org/10.1017/S1366728918001098
description: 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.
description: Orthographic transcription, digitization of language and experimental data.
DOI: 10.17864/1947.208
title: Polluted cloud tracks detected in MODIS satellite images

description: The 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.
description: The locations of polluted cloud tracks have been hand-logged in the MODIS satellite images. Near-infrared composite images from National Aeronautics and Space Administration (NASA) Global Imagery Browse Services are utilized for visually finding the pollution tracks. The 2.1 ?m near-infrared signatures resulting from increased cloud droplet number concentrations are used to visually identify polluted cloud tracks.
DOI: 10.17864/1947.212
title: PADIE diffusion coefficients for plasmaspheric hiss

description: This dataset contains a large number of quasilinear diffusion coefficients that describe the efficacy of wave-particle interactions in the collisionless plasma of Earth's inner magnetosphere. The individual diffusion coefficients are calculated using the PADIE software at the British Antarctic Survey in Cambridge (see Glauert, S. A., and Horne, R. B. (2005), Calculation of pitch angle and energy diffusion coefficients with the PADIE code, J. Geophys. Res., 110, A04206, doi:10.1029/2004JA010851.). Input information (wave intensity and plasma to gyrofrequency ratio) are obtained from co-located and simultaneous observations from Van Allen Probe A as it travelled through a region of space between 0900 and 1000 MLT, and from -5 to +5 degrees magnetic longitude during the period Septemer 2012 - June 2016. There are three locations in L*: L*=2.5+/-0.05; L* = 3.0+/-0.05 and L*=3.5+/-0.05. Diffusion coefficients are calculated separately for each set of co-located measurements, for the mean wave intensity and varying plasma to gyrofrequency ratio, and for the mean plasma to gyrofrequency ratio and varying wave intensity. The distribution of coefficients gives some indication of the variability of the wave-particle interaction due to plasmaspheric hiss and illustrates improvements that can be made to models of wave-particle interactions in Radiation Belt diffusion models.