cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17864/1947.000338
title: Ultrahigh-throughput LAP-MALDI MS analysis of peptides and an enzyme assay

description: As part of the PhD project 'Advancing liquid MALDI Ion Source Designs and Applications in Modern Biological Mass Spectrometry' funded by the University of Reading and Waters Corporation the possiblity for high-throughput analysis of biomolecules was investigated. Raw and processed data for liquid atmospheric-pressure matrix-assisted laser desorption/ionisation (LAP-MALDI) mass spectrometry analysis of peptides and enzyme assay at speeds greater than 20 samples/s using a hardware and software-modified Synapt G2-Si with a UV laser are presented. The deposited data relate to the research article 'Ultrahigh-throughput sample analysis using liquid atmospheric pressure matrix-assisted laser desorption/ionization mass spectrometry', 2022, Krenkel et al., https://doi.org/10.1021/acs.analchem.1c05614.
description: The dataset contains data that was generated using a commercial mass spectrometer Synapt G2-Si HDMS (Waters) equipped with an in-house developed AP-MALDI ion source. Masslynx (ver. 4.2; Waters) software was used to collect and process the data. ToF calibration was performed post acquisition on [Glu1]-fibrinopeptide B fragments.
description: Further processing making use of 2 applications developed by the authors (which can be obtained on request) and SpecProc (see https://sourceforge.net/projects/specproc/) and SpecProc SampleList (see https://sourceforge.net/projects/specproc-samplelist/).
DOI: 10.48370/ofd/aaaxqu
title: Arvicola amphibius - IBL_7976, Zoological collection of the Mammal Research Institute, PAS

description: Arvicola amphibius (European water vole) from Zoological collection of the Mammal Research Institute PAS. Collected 1949-06-06, in: Białowieża National Park, Poland. Material type: head
DOI: 10.17864/1947.000359
title: Archive of high-resolution barometric pressure records for the UK and Ireland, 15-18 January 2022

description: At 0415 UTC on 15 January 2022, the large subterranean volcano Hunga Tongaï¿½Hunga Haï¿½apai in the south Pacific Ocean exploded violently. The subsequent pressure wave radiated outward from the volcano at close to the speed of sound and was detected across the entire globe, reaching the British and Irish Isles some 14 hours after the eruption. This dataset preserves high-resolution records of barometric pressure (1 minute frequency, precision 0.1 hPa or better) from about 50 sites across the United Kingdom and Ireland used in the analysis of the multiple airwaves, and their reverberations across the globe. In all, over 160,000 records are included. The amplitude of the airwaves reaching the British Isles appears to be without precedent since the very similar events following the similarly violent eruption of Krakatoa in August 1883.
description: About 50 sites across the United Kingdom and Ireland, from a variety of sources including the UK Met Office, Met Eireann, the University of Reading and amateur observers from the Climatological Observers Link (COL).
DOI: 10.17864/1947.000350
title: Data from GC-MS supporting identification of molecular triggers of parosmia

description: Olfactory function of parosmic and non-parosmic participants was assessed using GC-olfactometry. Coffee, chicken, bell pepper, cocoa and faeces were used to identify trigger molecules. These data correspond to the GC-MS chromatograms which were used to confirm the identity of the compounds identified by the participants.
description: The samples were extracted by solid phase microextraction (SPME) and analysed by gas chromatography mass spectrometry (GC-MS) on a DB5 column. Full details are provided in the supplementary information
DOI: 10.17864/1947.000351
title: Simple Sequence Repeat (SSR) fingerprint data for apples from the National Fruit Collection as used in the article 'Microsatellite markers as a tool for active germplasm management and bridging the gap between national and local collections of apple'

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. 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 protocols as described in Venison et al. (2022), 'Microsatellite markers as a tool for active germplasm management and bridging the gap between national and local collections of apple', Genetic Resources and Crop Evolution (In Press).
description: For data collection method see: Venison, E., Litthauer, S., Laws, P., Denancé, C., Fernández-Fernández, F., Durel, C.-E. and Ordidge, M. (2022) Microsatellite markers as a tool for active germplasm management and bridging the gap between national and local collections of apple. Genetic Resources and Crop Evolution. ISSN 0925-9864 (In Press)
DOI: 10.17864/1947.000356
title: Early medieval pottery dataset of Lyminge, Kent, 2008-2015.

description: Full dataset of early medieval pottery excavated from Lyminge, Kent, between 2008 and 2015. Collected during PhD research between January-May 2018. Dataset recording 17,388 pottery sherds, weighing 144,856g, representing a maximum estimated vessel equivalent of 15,985 pottery vessels, and associated numbered fabric descriptions. Recorded data fields include: context number and type, feature type, fabric number and ware group, ware period, import type, sherd type and form, vessel form, percent of rim represented and estimated rim diameter, sherd count, weight, decoration, surface treatment, evidence of use. Associated PDF details fabric number descriptions as recorded in dataset.
description: All sherds were examined using a x20 magnification binocular microscope and classified according to dominant inclusion/ feature.
DOI: 10.17864/1947.000354
title: Tonga eruption atmospheric pressure wave data

description: The eruption of the Hunga volcano on 15th January 2022 generated a pressure wave which propagated around the world multiple times. Its passage was recorded at the University of Reading Atmospheric Observatory in the routine precision barometer data. Using additional data from roadside measurement sites, the initial pressure disturbances could be seen to propagate north-south across the UK (having travelled via the north pole), and subsequently south-north (having travelled via the south pole). The first passage at Reading disturbed the low cloud which was then present. Subsequent passages of the pressure wave diminished in amplitude. This archive contains the roadside atmospheric pressure data, and the Reading University atmospheric pressure and cloud base data.
DOI: 10.17864/1947.000358
title: Fog modification experiment by aircraft ion emission

description: An experiment investigating the release of charge from an Uncrewed Aerial Vehicle (UAV) into clear and foggy air was conducted at Bottom Barn Farm, near Castle Cary in Somerset, UK (51.09788°N, 2.486905°W), in February/March 2021. This archive contains data files from the surface measuring instruments deployed and from the aircraft systems and data loggers, during four flights undertaken. At the surface, measurements of droplet concentration were made with a Light Optical Aerosol Counter (LOAC) and atmospheric electric field with a JCI131 electric field mill.
DOI: 10.17864/1947.000357
title: WF16 bird bone data from 2008-2010 excavation

description: An Excel workbook containing the data acquired from the analysis of bird bones from the 2008-2010 excavation at the Neolithic site of WF16, southern Jordan.
DOI: 10.17864/1947.000367
title: Output from questionnaire relating to NCT04868435 study entitled 'Triggers for post-viral parosmia'

description: Data from a six-part questionnaire looking at triggers for parosmia (olfactory distortions). The 6 parts comprised questions on 1) demographics, 2) loss of smell, 3) onset of parosmia 4) loss of taste, 5) responses for 14 set trigger foods and 6) other triggers and comments. 954 people started the questionnaire. After removal of trial runs and non-completers, data from the remaining 727 are presented here.
DOI: 10.17864/1947.000366
title: Dataset supporting paper 'Circulating extracellular vesicles are strongly associated with cardiovascular risk markers'

description: This dataset includes all reports and summaries of raw data supporting the results presented in the paper ‘Circulating extracellular vesicles are strongly associated with cardiovascular risk markers'. The objective of this paper is to investigate the relationships between circulating extracellular vesicles (EVs), conventional cardiovascular risk markers and thrombogenic markers in subjects with moderate risk of cardiovascular diseases (CVDs), which is the part aim of a larger study investigating the effect of fish oil-derived n-3 polyunsaturated fatty acids on the generation and functional activities of EVs based on a randomised, double-blind, placebo-controlled crossover intervention. The results and findings involved in this dataset relate only to the baseline data prior to any intervention. A total of 40 subjects (aged 40~70yrs) with moderate risk of CVDs were recruited and involved in the study. Approximately 100ml of blood was collected from individuals after overnight fasting for all analysis, in which 35ml was processed for the analysis of circulating EVs, 9ml was taken for the analysis of blood lipids and glucose levels for the conventional cardiovascular markers evaluation and the rest was operated for the thrombogenic markers evaluation. Data about EVs parameters include: i. the numbers and size of circulating total EVs measured by Nanoparticle Tracking Analysis (NTA); ii. the numbers of EV subpopulations (i.e. phosphatidylserine-positive EVs (PS+EVs), platelet-derived EVs (PDEVs) and endothelial-derived EVs (EDEVs)) measured by flow cytometry (FCM); iii. the procoagulatory activity of circulating EVs (in vitro thrombogenic potential in activating tissue factor-dependent thrombin generation) measured by thrombin generation assay. Data about conventional cardiovascular risk markers include i. body mass index (BMI) measured by Tanita; ii. blood pressure measured by upper arm blood pressure monitor; iii. plasma lipid profile (i.e. triacylglycerol (TAG), total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and glucose concentrations measured by iLab; iv. 10-year CVD risk detected by QRISK2 scoring system. Data about thrombogenic markers include: i. plasma platelet aggregation measured by 96-well high-throughput aggregometry; ii. plasma thrombin generation measured by thrombin generation assay; iii. plasma clot growth and fibrinolysis measured by thrombodynamics analyser.
DOI: 10.17864/1947.000361
title: Data used in the article 'Physical and chemical characterisation of conventional and nano/emulsions: influence of vegetable oils from different origin'

description: This dataset contains data obtained from experimental work on the physical and chemical properties of oils, conventional and nanoemulsions. The data was obtained using a high-speed homogenizer, an ultrasound processor, a high-pressure homogenizer, a gas chromatographer equipped with a flame ionization detector (fatty acid composition), a spectrophotometer, a Chroma Meter, a rheometer (viscosity) and a dynamic light scattering (DLS) instrument (mean droplet diameter, polydispersity index and ?-potential).
DOI: 10.17864/1947.000364
title: Changes in climate trends and velocities, forest loss and population density between 2001-2018 in India's districts

description: This dataset provides information on the average climate change and forest loss over time for 577 districts in India between 2001-2018. The dataset has numerous climate variables that provide information on how temporal trends and velocities of temperature and precipitation have changed over time. This climate data was created based on raw data from the Climate Research Unit (https://crudata.uea.ac.uk/cru/data/hrg/). The trends are shown for both annual and seasonal data. Further to this, there is data on the amount of forest loss between 2001-2018 derived from the Hansen Global Forest Change Dataset (https://storage.googleapis.com/earthenginepartners-hansen/GFC-2020-v1.8/download.html). Thirdly, there is data on the change in population density over time derived from SEDAC CIESIN data (https://sedac.ciesin.columbia.edu/data/collection/gpw-v4). This full dataset can be used to compare changes in climate and population density in India's districts with forest loss.
DOI: 10.17864/1947.000362
title: Electrical aspects of rainfall generation - supporting field data

description: This dataset contains atmospheric electric field, visibility and aerosol backscatter from a ceilometer during a field campaign as part of the project 'Electrical aspects of rainfall generation'. The measurements were obtained at Al Ain airport (24°15' N, 55°37' E), United Arab Emirates (UAE) from 2018-2022.
DOI: 10.17864/1947.000370
title: START project: data from two tablet-PC based tasks measuring social reward responsivity in a UK sample

description: This dataset was collected in a public event for children in 2017. Children between ages 3-9 years were invited to take part in the study. Both tasks were presented on a tablet PC (Samsung 10.1 tablet SM P600) running the START app. Details of the app and the START project are available at the https://startproject.bhismalab.org. Related publication: Dubey, I., Brett, S., Ruta, L., Bishain, R., Sharat Chandran, Bhavnani, S., Belmonte, M.K., Lockwood Estrin, G., Johnson, M., Gliga, T., and Chakrabarti, B., on behalf of the START consortium. (2022), Quantifying preference for social stimuli in young children using two tasks on a mobile platform. PLOS One, Accepted.
DOI: 10.48370/ofd/yi0mau/n7lwql
title: IBL_coll_7327_ArvicolaTerrestris_1948_F_scan_ct.swf

description: :unav
DOI: 10.48370/ofd/yi0mau
title: Arvicola amphibius - IBL_7327, Zoological collection of the Mammal Research Institute, PAS

description: Arvicola amphibius (European water vole) from Zoological collection of the Mammal Research Institute PAS. Collected 1948-10-19, in: Białowieża National Park, Poland. Material type: head
DOI: 10.17864/1947.86
title: Interviews of Experts in Decision Making: Robust Assessment and Communication of Environmental Risk (RACER)

description: Interviews from winter 2016-2017 from a variety of producers and users of natural hazard information, including energy companies, environmental councils, public health, and insurance. The purpose of the interviews was to determine what kind of natural hazard information these sectors use and how they are presented. Results from the interviews informed surveys that were conducted as part of the Robust Assessment and Communication of Environmental Risk (RACER) project conducted under the Probability, Uncertainty & Risk in the Environment (PURE) Consortium. Participants were recruited by snowball sampling through a recruitment email. All transcripts have been edited to remove identifying information.
description: Transcribed phone interviews.
description: Transcriptions were edited to remove all identifying information.
DOI: 10.17864/1947.102
title: Dataset supporting a project of developing and optimising sample preparation in liquid AP-MALDI

description: Dataset contains a set of data collected during liquid AP-MALDI MS sample preparation studies. Dataset contains 9 sets of mass spectrometry data acquired on an in-house developed AP-MALDI ion source attached to a commercial Synapt G2-Si mass spectrometer. Other data include 3 surface tension measurements acquired on a Kruess K-12 tensiometer, and 3 processed laser energy threshold measurements datasets.
description: The dataset contains data that was generated using a commercial mass spectrometer Synapt G2-Si (Waters) equipped with an in-house developed AP-MALDI ion source. MassLynx software (ver. 4.1; Waters) was used to collect and process the data. Surface tension data were acquired on a commercial tensiometer K-12 (Kruess). The manuscript in preparation at time of the data deposit is entitled 'The composition of liquid AP-MALDI MS matrices and its effect on ionization' by P.Ryumin, R.Cramer contains the methods section where the exact procedures of the data acquisition are described.
description: DriftScope (ver. 2.4; Waters) was used to extract the data, and msconvert utility from open source ProteoWizard software package (ver. 3.0.6893) was used to convert the data to mzML format. Open source pymzML (ver. 0.7.6) Python (ver. 3.4.) libraries were used to extract the data correspondingly. In-house developed scripts were used to analyse the data.
DOI: 10.17864/1947.100
title: ResOfInflam: code to implement a mathematical model of the resolution of inflammation

description: ResOfInflam holds a selection of code to generate the figures found in the paper 'The resolution of inflammation: a mathematical model of neutrophil and macrophage interactions' (Dunster, J.L., Byrne, H.M. and King, J.R., (2014). The matlab code (sufix .m) provides time-dependent numerical simulations of the models while the XPP code (suffix .ode) can be used to investigate the models steady states and bifurcations behaviour.
DOI: 10.17864/1947.108
title: TAMSAT Daily Rainfall Estimates (Version 2.0)

description: The dataset comprises high resolution (0.0375 degrees) satellite-derived daily rainfall estimates for all Africa from January 1983 to December 2016 (data from 2017 onwards can be downloaded from the TAMSAT website: http://www.tamsat.org.uk/). The dataset is derived from the TAMSAT African Rainfall Climatology And Time-series (TARCAT) dataset (1983-present). Further details can be found on the TAMSAT website.
DOI: 10.17864/1947.113
title: Competitiveness Environment Survey in Kazakhstan

description: This dataset is based on a firm-level survey. The sample includes 89 businesses located in different regions of Kazakhstan. The survey was generated using Google Forms and distributed mostly via social networks. The survey was conducted in 2016 (January-May). This dataset provides information about businesses and the quality of the business environment with a focus on competitiveness and governmental support. This survey aims to establish a picture of conditions for doing business in Kazakhstan in 2016. The survey was in three languages, English, Russian and Kazakh. Non-English language responses were translated to English mostly using Google Translate and were checked by the authors. All identifying information, including company name and work address, were removed.
description: Questions were provided in three languages: English, Russian and Kazakh. Surveys were generated in Google Forms and distributed via social networks by authors. Results are entered by respondents.
description: Non-English language responses were translated from Russian to English mainly using Google Translate and by the authors. All identifying information, including company name and work address, were removed. Blank sections where answers were not provided have been replaced with "No answer".
DOI: 10.17864/1947.115
title: Kazakhstan Regional Data 1994-2014

description: This dataset consists of statistical annual regional data for 16 major administrative regions of Kazakhstan over the period 1994-2014. These 16 administrative regions include 14 oblasts and 2 major cities, Astana and Almaty. Th data were obtained from the information-analytical system 'Taldau' (http://taldau.stat.gov.kz) of the Committee on Statistics of the Ministry of National Economy of the Republic of Kazakhstan (http://stat.gov.kz). The data were translated from Russian to English by the authors, rearranged, and converted to Stata format.
description: The data were obtained from the information-analytical system 'Taldau' (http://taldau.stat.gov.kz) of the Committee on Statistics of the Ministry of National Economy of the Republic of Kazakhstan (http://stat.gov.kz).
description: Data are organised by year and administrative region. All variables were translated from Russian to English by the authors. The data were rearranged and recorded in Stata format, and are available in Stata and CSV formats. This dataset is structured as panel data.
DOI: 10.17864/1947.107
title: Vegetable Shipping Line Graph Testing Survey

description: Survey results from both an online and in-paper survey designed to determine if how uncertainty information was displayed changed users' decisions from and interpretations of the data. Participants for the survey were recruited in different ways to target different audiences.
description: 1. An expert audience of academics and private sector workers who make decisions based on natural hazard information were targeted by handing a paper version of the survey to attendees of three atmospheric science and hazard workshops and one research group meeting at the University of Reading in spring 2016. 49 participants were recruited in this manner. 2. Public respondents were recruited through an online survey. The online survey link was posted onto social media. In addition, the public could take the survey online on an iPad at University of Reading public events or while they were entering the University of Reading library. 72 participants were recruited in this manner. 3. Expert audiences of further academics, people in the private sector, and forecasters were recruited through snowball sampling through personalised emails sent to partners of the Natural Environmental Research Council (NERC) Probability, Uncertainty & Risk in the Environment (PURE) partners including those working in insurance, energy, non-profits, private forecasting companies, and the UK Met Office. 99 participants were recruited in this manner.
description: Paper-based surveys were manually entered. Online survey data were automatically compiled.
DOI: 10.17864/1947.110
title: Eye Tracking of Vegetable Shipping Line Graph Testing Survey

description: Eye-tracking and survey results from a survey designed to determine if how uncertainty information was displayed changed users’ decisions from and interpretations of the data. Participants for the survey were 65 students from the University of Reading. Participants were recruited by email. They received £10 for participating in the experiment.
description: Survey results were recorded manually into 2017_01_13_survey_response_data.csv. Any outliers were removed in data post-processing, not provided here. Therefore, any user of this data will need to remove outliers themselves. Eye-tracking methods: Participants were fitted with an Eye link II tracker headset (sampling rate 500Hz), which recorded eye movements of the right eye as they completed the survey on a 21-inch colour desktop PC (refresh rate of 75Hz). A chin rest was used to constrain any head movements and participants were placed in a set position. The distance between the monitor and participant was 57 cm. In this study, we monitored the location and duration of eye fixations, defined as a maintained gaze (the eye was still, i.e. no saccades were detected) on one location. A standard 9-point grid was used to calibrate eye movements at the beginning of the study. All participants calibrated successfully and calibration was maintained for each question using a drift correct.