cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/m1e0w9
title: Apodemus flavicollis - IBL_2385, Zoological collection of the Mammal Research Institute, PAS

description: Apodemus flavicollis (Yellow-necked mouse) from Zoological collection of the Mammal Research Institute PAS. Collected 1947-11-23, in: Białowieża National Park, Poland. Material type: head
DOI: 10.17864/1947.243
title: Implementation of Large-Scale Land Acquisitions (LSLAs) projects and the role of institutions

description: This dataset provides a unique set of variables which was used to assess the factors hindering or fostering the actual implementation of Large-Scale Land Acquisitions projects concluded since the year 2000 in different countries all over the world. In particular, the dataset contains deal-specific variables, as well as macro-economic and institutional variables measured at the country level for both host and investor countries involved in each LSLA deal. Using this data for different purposes and for learning activities is encouraged.
description: The database is structured as a cross-section of LSLAs, where deal-specific information relies on the Land Matrix, while other economic and institutional variables are taken from the World Bank data repository (see readme, ï¿½Sourcesï¿½). Please note that this dataset contains missing values and that the original sources used for building this dataset are constantly changing over time, so that the sources might have changed compared to the time when the records were originally downloaded and processed.
DOI: 10.17864/1947.240
title: Improved method for rapid calculation of halocarbon radiative forcing

description: The model described in Pinnock et al. (Journal of Geophysical Research 1995 10.1029/95JD02323) permits the rapid and accurate calculation of the radiative forcing of halocarbons using the absorption cross-sections of those halocarbons (which could be derived from laboratory observations or quantum-chemical calculations). The provided values are an update to those given in Hodnebrog et al. (Reviews of Geophysics 2013 10.1002/rog.20013) and include, for the first time, an explicit wavenumber-dependent correction for the effect of stratospheric temperature adjustment. The revised method is detailed in Shine and Myhre (Journal of Advances in Modeling Earth Systems 2020 10.1029/2019MS001951).
description: Numerical model output
DOI: 10.17864/1947.232
title: Speciation and adulteration analysis of milk by liquid AP-MALDI MS profiling

description: AP-MALDI MS profiling coupled with multivariate analysis for speciation and the detection of food adulteration using a simple one-pot sample preparation of milk. Milk samples from cow, goat, sheep and camel were classified with 100% accuracy. With respect to milk adulteration, it was possible to detect goat milk adulterated with 5% cow milk with 92.45% sensitivity and 94.53% specificity. Goat milk adulterated with 10% cow milk was detected with 99.15% sensitivity and 99.10% specificity.
DOI: 10.17864/1947.246
title: Dataset for 'Consistent dust electrification from Arabian Gulf sea breezes'

description: This dataset contains atmospheric electric field, visibility and ceilometer data contained within the paper 'Consistent dust electrification from Arabian Gulf sea breezes' by K.A. Nicoll, R.G. Harrison, G.M. Marlton and M.W. Airey, submitted to Environmental Research Letters (2020). The measurements were obtained at Al Ain airport (24°15' N, 55°37' E), United Arab Emirates (UAE) in the year 2018. The data has been used within this paper to study the electrification of dust lofted by sea breeze events.
description: Electric field was measured by a Campbell CS110 electric field mill. Visibility was measured by a Biral SWS100 visibility sensor. Aerosol backscatter was measured by a Vaisala CL31 ceilometer.
description: Only the raw data from the sensors is provided here. No processing has taken place.
DOI: 10.17864/1947.248
title: Accounting for variability in ULF wave radial diffusion models - numerical experiment results

description: This dataset contains results of the numerical experiments described in R.L. Thompson, C. E. J. Watt and P. D. Williams, 'Accounting for variability in ULF wave radial diffusion models', JGR Space Physics, doi:10.1029/2019JA027254. Each file corresponds to an individual experiment in the study, containing the final phase space density (PSD) profiles of each ensemble member at the end of the experiment.
DOI: 10.17864/1947.245
title: Equivalence in risky-choice framing

description: The study was undertaken as part of Sarah Fisher's PhD research. It investigated whether a classic risky-choice framing effect depends on the semantic inequivalence of the options presented in alternative framing conditions. The dataset comprises response data from two experiments, both of which were run online using Qualtrics/Amazon Mechanical Turk. The experiments involved Mechanical Turk Workers completing a choice task, based on a short scenario concerning the outbreak of an unusual Asian disease. In the first experiment (n=305), each participant received one of four versions of the scenario. In the second experiment (n=308), each participant received one of three versions of the scenario. After completing the choice task, participants answered a small number of demographic/screening questions.
DOI: 10.17864/1947.247
title: Rapid liquid AP-MALDI MS profiling of lipids and proteins from goat and sheep milk for speciation and colostrum analysis

description: Dataset of liquid AP-MALDI MS profiling of lipids and proteins from goat and sheep milk for speciation and colostrum analysis. The dataset supports the article by Piras et al. 2020, 'Rapid machine learning-liquid AP-MALDI MS profiling of lipids and proteins from goat and sheep milk for speciation and colostrum analysis'. The dataset contains mass spectrometry data, multivariate models and validation reports.
DOI: 10.17864/1947.251
title: Semantic context effects in Bengali-English bilingual and English monolingual speakers

description: We investigated the contribution of linguistic and executive control processes in semantic context effects for young healthy Bengali-English bilingual and English monolingual speakers. We collected blocked-cyclic naming data, executive control data and background measures to characterize each participant. This dataset contains the blocked-cyclic naming data as well as Stroop data in English from 25 Bengali-English bilinguals and 25 English monolinguals. The data from the blocked-cyclic naming task was collected using audio recorder, later transcribed orthographically. Demographic information and vocabulary testing data were collected using paper and pen tasks. Executive control tasks were assessed using computer-based tasks and were programmed and delivered using E-Prime. The groups were matched for receptive vocabulary, age, education and non-verbal intelligence. These data could be used by future researchers to answer their specific questions regarding blocked-cyclic naming 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, vocabulary measures). Dataset accompanying the paper entitled: Patra A, Bose A, Marinis T (2020, under review). Semantic context effects in bilingual and monolingual speakers. Journal of Neurolinguistics.
description: Computer based and paper-pencil task.
description: The dataset was generated using orthographic transcription of audio files of blocked-cyclic naming data, pen and paper data from the background measures, and reaction time (RT) data for the blocked-cyclic naming task, Stroop and switching task. A manuscript is currently in-review with the Journal of Neurolinguistics. Patra A, Bose A, Marinis T (2020, under review). Semantic context effects in bilingual and monolingual speakers.
DOI: 10.17864/1947.252
title: Skillful spatial scales and representativity of seasonal rainfall forecasts over Africa

description: This dataset contains gridded estimates of the skillful spatial scales of seasonal rainfall forecasts (tercile probabilities) over Africa and a measure of how representative these skillful spatial scales are for anticipating local rainfall conditions (as described by terciles). The skillful spatial scales presented apply to tercile probability hindcasts (re-forecasts) of seasonal total rainfall derived from the European Centre for Medium-Range Weather Forecasts (ECMWF) seasonal forecasting System 5 (SEAS5). The SEAS5 hindcasts analysed here are initialised at a lead time of 1 month ahead of the start of a given season. The representativity of the SEAS5 skillful spatial scales is computed using observed seasonal rainfall terciles from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) version 2.0 dataset. The skillful spatial scales and representativity data are combined to delineate regions where the SEAS5 seasonal hindcasts are both skillful and representative for anticipating local seasonal rainfall conditions. Note that the these data are specific to tercile probabilities derived from the SEAS5 hindcasts and different skillful scales and representativity results are likely to be found when applying this methodology to other dynamical weather forecasting systems and event/quantile categories. A subset of this dataset is presented in Figure 6 of Young, M., Heinrich, V., Black, E., and Asfaw, D., 2020: Optimal spatial scales for seasonal forecasts over Africa, Environmental Research Letters. In press https://doi.org/10.1088/1748-9326/ab94e9.
description: The dataset has been produced using: 1) Hindcasts (re-forecasts) of seasonal total rainfall over Africa from the European Centre for Medium-Range Weather Forecasts (ECMWF) seasonal forecasting System 5 (SEAS5). The hindcasts used are initialised at a lead time of 1 month ahead of the start of the season, cover the period 1993-2016 and have a horizontal resolution of 1º. The hindcasts have been obtained from the Copernicus Climate Change Service Climate Data Store at https://cds.climate.copernicus.eu/. 2) Observations of seasonal total rainfall from the Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) version 2.0 dataset available from https://www.chc.ucsb.edu/data. The CHIRPS data has a horizontal resolution of 0.05º and CHIRPSv2.0 estimates between 1993-2016 are used here to measure representativity. The methodology used to produce this dataset using 1) and 2) is described in detail in Young, M., Heinrich, V., Black, E. and Asfaw, D. T. (2020) Optimal spatial scales for seasonal forecasts over Africa. Environmental Research Letters. In Press https://doi.org/10.1088/1748-9326/ab94e9.
DOI: 10.17864/1947.253
title: Sea ice concentration data produced from a simulation with the sea ice model CICE-CPOM-2019, including a prognostic floe size distribution model to study the Marginal Ice Zone

description: Monthly mean sea ice concentration output from CICE-CPOM-2019, a stand-alone (fully forced) dynamic-thermodynamic sea ice model, based on CICE model version 5.1.2, but with an added prognostic floe-size distribution, prognostic melt pond model, elastic anisotropic plastic rheology, and a prognostic ocean mixed layer. Details on the forcing and full references concerning the modifications made to the original CICE model can be found in the Readme file.
DOI: 10.17864/1947.254
title: Data associated with the article ‘Remote videolink observation of model home sampling and home testing devices to simplify usability studies for point-of-care diagnostics’

description: This dataset contains the video instruction resource used for remote testing of model home testing devices. The questionnaire given to participants along with a summary table of responses to the rating questions. This dataset contains images of model tests returned by participants during the study ‘Remotely evaluating user experience of Covid-19 lateral flow devices’. A spreadsheet summary of the analysis of the returned images is also included.
DOI: 10.17864/1947.257
title: Model output for perturbed biology and physics signatures in a 1-D ocean biogeochemical model ensemble

description: The 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).
description: These are the raw model outputs from the MarMOT-MEDUSA 1-D Marine Biogeochemical Model
DOI: 10.17864/1947.259
title: Data supporting 'Pressure drag for shallow cumulus clouds: from thermals to cloud ensemble'

description: This dataset is used to understand the pressure drag of shallow cumulus clouds, the relationship between the pressure drag of individual clouds and the cloud ensemble. We performed large eddy simulations of shallow cumulus clouds based on the Barbados Oceanographic and Meteorological Experiment (BOMEX) using the Met Office-NERC (National Environment Research Council) Cloud model (MONC). The grid spacing is 25 m in all directions and the domain size is (15X15X3) km^3. As the whole simulation has a huge dataset, we present a subset of the results that can be used to reproduce the figures in 'Pressure drag for shallow cumulus clouds: from thermals to cloud ensemble' (submitted to Geophysical Research Letters; 2020). Access to the all simulation data can be provided on request. The full dataset will be deposited in the CEDA Archive in due course. The dataset contains four sub-directories with generated data and another sub-directory with scripts for plotting the figures in the article. The generated data include: [1]. The conditionally averaged budget terms in vertical velocity equation for different parts of cloud ensemble; [2]. The conditionally averaged budget terms in vertical velocity equation for all tracked clouds; [3]. The conditionally averaged budget terms in vertical velocity equation for tracked clouds with different lifetime; [4]. The conditionally averaged budget terms in vertical velocity equation for each individually tracked cloud over its lifetime; [5]. The vertical cross section data of cloud structure; [6]. The positions of tracked clouds; [7]. The composited structure of clouds at 600m, 1000m and 1800m.
DOI: 10.48370/ofd/b5xycr/kzi9nv
title: IBL_coll_2921_ApodemusFlavicollis_1948_scan.jpg

description: :unav
DOI: 10.48370/ofd/b5xycr/hcnm4t
title: IBL_coll_2921_ApodemusFlavicollis_1948_scan_ct.swf

description: :unav
DOI: 10.17864/1947.261
title: Verbal fluency in Bengali-English bilinguals with aphasia and bilingual healthy controls

description: We investigated the contribution of linguistic and executive control processes in verbal fluency performance for Bengali-English bilinguals with aphasia and bilingual healthy controls. We collected verbal fluency data, executive control data and linguistic background measures to characterize each participant. This dataset contains the verbal fluency data from 8 Bengali-English bilinguals with aphasia and 8 bilingual healthy controls. The data from the verbal fluency task was collected using audio recorder, later transcribed orthographically. Demographic information and linguistic background measures were collected using paper and pen tasks. Executive control tasks were assessed using paper and pencil task, and/or computer-based tasks. The computer tasks were programmed and delivered using E-Prime. These data could be used by future researchers to answer their specific questions regarding the lexical and cognitive underpinnings of verbal fluency performance in bilinguals with aphasia population. This dataset is reported in the published article: Patra, A. , Bose, A. and Marinis, T. (2020) Lexical and cognitive underpinnings of verbal fluency: evidence from Bengali-English bilingual aphasia. Behavioral Sciences, 10 (10). 155. ISSN 2076-328X doi: https://doi.org/10.3390/bs10100155
description: Linguistic behavioural experiments
DOI: 10.48370/ofd/b5xycr
title: Apodemus flavicollis - IBL_2921, Zoological collection of the Mammal Research Institute, PAS

description: Apodemus flavicollis (Yellow-necked mouse) from Zoological collection of the Mammal Research Institute PAS. Collected 1948-05-22, in: Białowieża National Park, Poland. Material type: head
DOI: 10.17864/1947.260
title: Outputs from a volcanic ash transport and dispersion model (NAME), source inversion system (InTEM) and SEVIRI satellite retrievals for the 2011 Grímsvötn eruption.

description: This dataset contains (1) the output of a volcanic ash transport and dispersion model (Numerical Atmospheric-dispersion Modelling Environment - NAME) simulations of the 2011 Grímsvötn eruption used in the UK Met Office volcanic ash source inversion system (InTEM), (2) SEVIRI satellite retrievals provided by kind permission of the UK Met Office that were used in InTEM inversion system, (3) output from the InTEM system for the Grímsvötn eruption, (4) output of volcanic ash transport and dispersion model simulations used for comparison to satellite retrievals and to produce ash hazard risk maps. The use of this data is outlined in Natalie Harvey et al. (2020): The impact of ensemble meteorology on inverse modeling estimates of volcano emissions and ash dispersion forecasts: Grímsvötn 2011.
description: Computer simulations and satellite retrievals of volcanic ash following the 2011 eruption of Grímsvötn, Iceland
DOI: 10.17864/1947.267
title: Supplementary material for 'Developing the hertz art-science project to allow inaudible sounds of the Earth and Cosmos to be experienced'

description: This repositary contains a sample audio clip that has been produced by using an infrasound signal from the Aurora Borealis to manipulate pink noise. In the hertz project this output has been low pass filtered to 120Hz for the hertz playback equipment. It has been low pass filtered at 400Hz here so it is audible through a standard laptop speaker. The video was a clip from a trial development session of the hertz project featuring Juliet Robson.
DOI: 10.17864/1947.272
title: ERA5 derived time series of European country-aggregate electricity demand, wind power generation and solar power generation: hourly data from 1979-2019

description: The ERA5 reanalysis data (1979-2019) has been used to calculate the 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 2017 situation. 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. When citing this dataset please refer to the publication: Sub-seasonal forecasts of demand, wind power and solar power generation for 28 European countries (see Related CentAUR publications).
DOI: 10.17864/1947.275
title: Sub-seasonal forecasts of European electricity demand, wind power and solar power generation

description: Sub-seasonal forecasts of daily country-level European electricity demand, wind power and solar power generation, along with the driving meteorological variables, from two sub-seasonal to seasonal prediction systems and lead times extending to 44 days. The matching ERA5-derived variables are also provided to facilitate verification analyses. When citing this dataset please refer to the publication: Sub-seasonal forecasts of demand, wind power and solar power generation for 28 European countries (see Related CentAUR publications).
DOI: 10.17864/1947.000279
title: Liquid Atmospheric Pressure MALDI MS for high-throughput diagnosis and antibiotic resistance detection

description: AP-MALDI MS profiling coupled with multivariate analysis for the detection of farm-related diseases using a simple one-pot sample preparation of milk. Milk samples were collected at the Centre for Dairy Research (CEDAR) of University of Reading (UK). The analysis performed on the test set allowed the detection of clinical mastitis with a correct classification rate of 98.57% and the correct detection of mastitis 2 days before the clinical event with a sensitivity of 70% and a specificity of 100%.
DOI: 10.17864/1947.282
title: Deep learning for the estimation of water-levels using river cameras: networks and datasets

description: This dataset contains: - The networks weights (weights.zip) that were obtained and used in our papers [1, 2]. We refer to these papers for the methodology used to obtain those weights. Those weights can be used for the binary water semantic segmentation of new images, or for comparison with our methods. - The river camera images (DIGLIS.zip/EVESHAM.zip/STRENSHAM.zip/TEWKESBURY.zip) for the experiments that we presented in [2]. The images can be used for water segmentation and flood analysis purposes. Related publications: [1] Remy Vandaele, Sarah L. Dance, Varun Ojha; Automated water segmentation and river level detection on camera images using transfer learning; 2020; Proceedings of the DAGM German Conference on Pattern Recognition (Accepted) [2] Remy Vandaele, Sarah L. Dance, Varun Ojha; Deep learning for the estimation of water-levels using river cameras; 2020; Hydrology and Earth System Science (in preparation)
DOI: 10.17864/1947.271
title: Reconstructions of the radiation fluxes at the top of the atmosphere and net surface energy flux over 1985-2017 - DEEP-C Version 4.0

description: In order to study the energy flow in the climate system, the radiative fluxes (OLR, ASR and NET) at the top of atmosphere (TOA) prior to the CERES period have been reconstructed using satellite observations of CERES v4.1 and ERBS WFOF v3.0, atmospheric reanalysis (ERA5) and AMIP6 model simulations. The new approach using the mass-corrected atmospheric energy divergencies (transports) and consistent enthalpy treatment of water substances is employed to estimate the net surface energy fluxes. This is the version 4.0 of DEEP-C dataset created in September 2020. CERES version 4.1 and ERBS WFOV version 3.0 are used. The TOA flux anomaly is constrained by WFOV anomaly in each 10 degree x 10 degree grid box. The atmospheric energy transport is based on the new enthalpy treatment of water substances (Mayer et al. 2017).
description: See publication references.
description: All files are in netcdf format. The downward net fluxes are defined as positive. The TOA radiation fluxes are from January 1985 to June 2019. The surface energy flux is the net energy flux from January 1985 to November 2017. Geodetic weighting can be found at https://ceres.larc.nasa.gov/science_information.php?page=GeodeticWeights. DEEPC_Fmass_v04_198501-201711.nc : as in version 3.0, the excess/deficit land surface fluxes are redistributed to the oceans zonally (using normal distribution weight in latitude direction).
DOI: 10.17864/1947.278
title: Blood types and their relationship with COVID-19 among a study population in Iraq

description: This dataset was developed using a range of different characteristic details from COVID-19 patients who were admitted at different hospitals in Iraq. The purpose of this study was to determine if there is any direct relationship between the blood types and susceptibility to contract COVID-19. We also used this data to analyse any links between the clinical symptoms and patientsï¿½ blood types.
description: Through hospitals
description: Normal csv format and analysis was performed using R statistical package