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Dataset for "ExMaps: Long-Term Localization in Dynamic Scenes using Exponential Decay"
No full textThis is the dataset that accompanies our publication "ExMaps: Long-Term Localization in Dynamic Scenes using Exponential Decay”. The data was collected over a period of time using a custom ARCore based android app. It depicts a retail aisle. The images can be found in the sub-folders “only_jpgs”. The rest of the ARCore data such as camera poses can be found in “data_all” subfolders for each day data was collected for. The data can be used to run the benchmarks from the original paper. It can also be used to reconstruct points clouds using SFM (structure from motion) software.The data was collected over a number of weeks in a local grocery shop. It includes text files listing the 6DOF poses of the phone, and RGB frames. The frames and text files were acquired with a Google Pixel 2 phone, and the RGB frames were captured every 0.5 seconds at a resolution of 640 by 480.A Google Pixel 2 phone was used for the collection of the data. The frames captures are the default camera frames that ARCore provides, under the name "CPU Images". The were stored locally on the phone and then extracted for use in our publication, "ExMaps: Long-Term Localization in Dynamic Scenes using Exponential Decay."The data is provided in text files and RGB images, in a jpg format. The text files include additional information such as local poses
Dataset for 'Self-processing in relation to emotion and reward processing in depression'
No full textThis dataset is for a study examining the role of self processing in relation to emotion and reward processing in depression. Participants (n = 144) with varying levels of depression symptoms completed cognitive tasks measuring self processing independently and in combination with emotion and reward processing over two session approximately one week apart. This dataset contains the raw trial level and cleaned aggregate data used for analysis for each of these cognitive tasks (Associative Learning, Go/No-Go Self-Esteem, Social Evaluation Learning), self-report questionnaire data for mood, demographics and output from the clinical interview schedule-revised (.csv, .xlsx and .RDA files). Code used for cleaning and analysis is also provided in the form of R Notebook files.We recruited participants aged 18 to 65, fluent in English, with normal or corrected to normal vision, through campus advertising at the University of Bath. As depression severity is positively skewed within the general population (Tomitaka et al., 2015), to ensure balanced levels of depression we screened participants using the Patient Health Questionnaire (PHQ-9; Kroenke et al., 2001). We recruited an equal number of participants with no depression (PHQ-9 less than or equal to 4), mild depression (PHQ-9 5-9) and moderate to severe depression (PHQ-9 greater than or equal to 10).
Participants completed self-report depression measures (PHQ-9, BDI-II) across two sessions approximately one week apart. We measured self, emotion, and reward processing, separately and in combination, using three cognitive tasks. This included simple associative learning task, a self-esteem go/no-go task, and a social evaluation learning task.Data was anonymised prior to cleaning, through random re-assignment of unique IDs and removal of potentially identifying variables (e.g. exact date of sessions). Aside from the anonymisation changes, the raw data is provided as well as the code used to clean data to produce the aggregate data used for analysis. For clarity the code used for anonymisation is provided in the R scripts for cleaning raw data in comments.The data was cleaned and analysed using R version 3.6.
Data is provided in .CSV, .XLSX and .RDA files which can be opened with a variety of software.A data dictionary is provided outlining the organisation of data and describing individual variables
Dataset for "The effects of thermal mass and air-conditioning on summer temperature thermal comfort and occupant behaviour in homes"
Get PDFThe data collected during the longitudinal monitoring and survey campaign of the indoor environment, thermal comfort and occupant adaptive behavior during the summer season in Italian residential settings (Csa climate, Catania city). The campaign was completed in the period between 07/06/2019 and 19/09/2019, which includes the five heat health warnings and two heatwaves that occurred in the summer of 2019 in Catania, Italy.
The data collected and deposited here was used for the PhD thesis of Elisabetta Maria Patane': The effects of thermal mass and air-conditioning on summer temperature thermal comfort and occupant behaviour in homes.Longitudinal monitoring for air temperature, relative humidity, occupancy, and window and air-conditioning usage were employed. In addition, spot measurements were used to record air temperature, globe temperature, air velocity and relative humidity used for the thermal comfort analysis. All measurements were completed in the period between 07/06/2019 and 19/09/2019. The indoor dry bulb temperature (Ta, °C) and relative humidity (RH, %) were measured every 20 minutes with IButtons sensors. The sensors were placed in at least one living room and bedroom per flat and for households with high number of occupants, additional rooms were included such as a second or third bedrooms a dining, living and studio rooms. The air conditioning outlet temperature was recorded by IButton sensor, sampling every 20 minutes. Two units were targeted per home, one in the living-room or kitchen and the other one in the bedroom if available. It was placed on the horizontal louvre of the unit. The occupancy was recorded in 12 homes via HC-SR501 PIR infrared motion sensors, sampling each 5 seconds. The window opening state was recorded in 24 windows in 12 flats, for 6 days each, from the 25/08/2019 to the 19/09/2019. 8 state sensors of the HOBO UX90-001 type were employed. The state sensors were installed on openings that 62 inhabitants used most often when ventilating the dwelling. In order to monitor as many windows as possible, the 8 sensors were moved every 7 days from one flat to another one. The preferred windows were those in living or dining rooms and bedrooms.
The spot measurements were carried out with 8 heat stress meters; Extech HT30 and HT200 models; and the Testo 0560 4053 Stick Thermo-anemometer. The measurements were taken from 15 to 25 minutes while the occupants filled out the questionnaire in the room. The heat-stress meters were provided to eight families to undertake the measurements by themselves. The questionnaire included the protocol of measurements translated in Italian on the first page.
Thermal comfort and occupant behavior were monitored with a questionnaire administrated by the researcher. The procedure for this consisted of each occupant filling in the questions in a short time frame. All the questions were designed to be completed in 5 minutes in order to reduce the risk of participants leaving the study because of fatigue. The total number of questions is twenty-three, they are divided according to: contextual variables, thermal comfort votes, windows, shading and air-conditioning usage, spot measurements of indoor air temperature, relative humidity, mean radiant temperature and air velocity.
All instruments and measurements protocol were carried out in agreement with the following standards: UNI EN ISO 7726:2001, UNI EN ISO 7730:2005. The thermal comfort survey are based on the 7-point scale thermal sensation votes, 5-points of thermal preference, 2-points of thermal acceptability in ASHRAE 55-2020UNI and EN ISO 16798:2019.The first step was to create one file for each room; therefore, the different time-series files were concatenated according to the datetime index and the type of data. The second step was to find the outliers in the temperature datasets by checking the maximum and minimum values in each room.
Then, two datasets for indoor room environmental conditions were created, one with a sub-hourly time-step which is used to record the state of air-conditioning, and another one with an hourly time-step which was created by resampling the readings and taking the mean of the values.
The air-conditioning unit time-series were further manipulated in order to assign the “state” of the machine: switched on (1) or off (0). The difference between two consecutives sub-hourly outlet temperature readings was computed. It was assumed that if the difference was more than ± 5 °C, the air-conditioning was switched on or off. Whenever available, the self-reported data was also used to validate the air-conditioning status. The window state and the occupancy recordings were reported as collection of timestamps of the new position and occupant movement. The final data-set was generated for each variable by concatenating each room as a column and using the same time-series.
The answers to the thermal comfort section of the questionnaire were translated into categorical variables according to the ANSI/ASHRAE Standard 55-2020. The metabolic rate (MET) and clothing insulation values (Icl) were estimated using the “Table 5.2.1.2 Metabolic Rates for Typical Tasks” and “Table 5.2.2.2.A - Clothing Insulation Icl Values for Typical Ensembles” in the ASHRAE 55 standard. The position of the window and shadings is either open or closed, and the status of the air-conditioning unit is switched on or off. The open and on cases are recorded as 1 in the excel sheet and closed or off as 0. The duration is expressed as the number of hours and minutes since the last state or position change of the system. This information was recorded as it was in the excel sheet. It is important to stress that the questionnaires reported local time reference. The precision of the self-reported duration of the state was assumed to be higher whenever the reference was less than 24 hours; in other cases, it was created a single category for duration which specifies a minimum of a day of duration of the current state. The “trigger” or “driver” is the reason behind the occupant choice for the concurrent position or state of the window, blind and AC systems. This is an open ended question because the answer could involve any number of factors, or unforeseen events can occur
A Dataset on the Discourse, Approach and Outcomes of UN Peacekeeping, 1993–2019
Get PDFThis dataset is based on NVivo coding of each UN Security Council resolution since Resolution 864 (1993) until the end of year 2019 (Resolution 2503) for their reference to protection. Every word "protect" and words stemmed from it, is coded for its (a) referent object, (b) agent, and (c) method of protection.
- Categories of referent object used in the coding are (a) protector itself (UN and other humanitarian workers), (b) partisan referent (constituencies of one but not the other conflicting party), (c) cosmopolitan (referent object is what chapter 1 of the source book defines as “global civilian”), (d) the environment, (e) other.
- Categories for agent of protection are (a) UN Security Council, (b) UN General Assembly, (c) UN Secretary General or Secretariat, (d) Other UN, (e) Peacekeeping operation, (f) Conflicting party, (g) External Western agent, (h) External non-Western agent, (i) Representative regional agent, (j) National or international law.
- Method of protection is classified simply as power-centric or not power-centric. The definition of power-centricity is from Chapter 1 of the source book.
In addition to data on the UN discourse, which originates from the UNSC resolution depository (https://www.un.org/securitycouncil/content/resolutions-0), there are variables on the number of fatalities in countries where UN conducts peacekeeping, before, during and after UN operation during the post-Cold War era. These files also contain data on the development of fatalities in countries where unilateral protective operations have been conducted. All conflict fatality data is annual and taken from Uppsala Conflict Data Program’s annual battle deaths data, data on one-sided violence, and data on non-state conflict.
Definitions and data on state fragility and fatalities of conflict is from the source book, and from Kivimäki, Timo 2019a. The Failure to Protect. The Path to and Consequences of Humanitarian Interventionism. Cheltenham: Edward Elgar Publishing.
The data enables the study of the relationships between discursive developments, discursive strategies and approaches on the one hand and the development of fatalities of violence where UN operations take place. It enables comparison between UN peacekeeping operations and comparison in time.The data was collected from United Nations Security Council Resolution texts by using NVIVO program. The results of the NVIVO codings were exported to a Stata file which allows for the statistical treatment of the data.NVIVO was used for the coding of text, Stata program was used to store the quantitative data on the coding, and for the creation of additional variables from the coded frequencies.The raw data that reveals the coding is available in NVIVO files, while the results of the coded analysis of the texts is stored in Stata files
Dataset for Petratou, Spencer, Kelsh and Lister 'The MITF paralog tfec is required in neural crest development for fate specification of the iridophore lineage from a multipotent pigment cell progenitor'
No full textThe data consist of (1) iridophore counts in WT or tfec mutant embryos at 3 dpf (Fig. 3F); (2) iridophore counts from tfec mutants injected with tfec cDNA construct or uninjected controls (Fig. 3K); (3) iridophore counts from WT embryos injected with various control and tfec-expression plasmids, and uninjected controls (Fig. 3M); (4) melanocyte counts in tfec mutants compared to WT siblings at 30 hpf and 4 dpf (Fig. 4I,L).Full details of the methodology may be found in the associated paper
Dataset for "Continuous rotary membrane emulsification for the production of sustainable Pickering emulsions"
No full textMain data for figures in the manuscript ‘Continuous rotary membrane emulsification for the production of sustainable Pickering emulsions’. The data for Figure 2 shows generated values for 2D matrix (200 x 200) of Taylor numbers (Ta) (column numbers 1-200 representing angular velocities 0-220 rad/s while row numbers 1-200 represents viscosities 0-0.22 Pa.s), and viscosity values for surface plot of Figure 2. Data for Design of Experiment (DoE) models, DoE model validation data from size analysis, and force balance diameters from force balance model are also given.Ta data was calculated generated from OriginLab (Origin 2017) for the 2D surface plot. DoE model data was generated using the MODDE Pro 11.0.2 software (MKS Umetrics AB, Sweden); while Viscosity data and DoE model validation data was derived experimentally as described in the manuscript.MODDE Pro 11.0.2 software (MKS Umetrics AB, Sweden) was used for DoE model studies.OriginLab (Origin 2017) was used for Taylor number generation for surface plots and figure plots
Dataset for "Use of paediatric injectable medicines guidelines and associated medication administration errors: a human reliability analysis"
No full textThis dataset contains the raw discrepancy data from the post-hoc human reliability analysis performed for this paper. Video recordings of paediatric nurses preparing intravenous medicines during a resuscitation simulation (from a previous study) were re-analysed using human reliability analysis to identify discrepancies in the steps required to find and extract information from the NHS Injectable Medicines Guide (IMG) website. These data were combined with MAE data from the same original study. The dataset includes some medication error data from the previous study (dose and rate deviations, error severity score, clinically significant and large magnitude errors) and discrepancy data from this study (hierarchical task analysis node number, error mode, deviation contribution to an error, description of discrepancy).Full details of the methodology may be found in the Methods section of the associated paper
Dataset for "Salt-Responsive Pickering Emulsions Stabilized by Functionalized Cellulose Nanofibrils"
No full textThis data includes a variety of characterisation results for Pickering emulsions stabilised using either anionic TEMPO-oxidised cellulose nanofibrils or cationic cellulose nanofibrils functionalised with a quaternary ammonium group. The emulsions were prepared using sunflower oil either in water or solutions of NaCl to determine effects of fibril charge and salt concentration on the structures present in these emulsions, and how this related to their rheological properties.
Data included in this dataset are
AFM (02/2014): AFM measurements made by Yun Jin on OCNF at 0.8wt% (8gl ox-cell) and OCNF emulsions (beads+cellulose)(.jpg images and compressed text files from instrument)
CLSM (08/2018): CLSM measurements made by Julien Schmitt on OCNF and CCNF stabilised emulsions with 0; 0.1 and 0.5M NaCl. The folder is separated in subfolders, one subfolder per sample (images in .czi format)
Contact angle (2013): three series of contact angle measurements on CONF at the hexadecane/water interface made by Yun Jin (contains .jpg files for the images, and .xls files for analysis of the images)
Mastersizer - OCNF emulsions (2013): Mastersizer measurements made by Yun Jin on OCNF stabilised emulsions. The sub folder "salt effect" contains the measurements made for OCNF at various concentrations with 0; 0.1; 0.5 or 1 M salt (files .xslx; the .txt are the same data treated). The subfolder "pH effect" consists of measurements at pH=3; 5 or 11 at 0.8gL without salt (files .xls, and .tif for graphs).
Mastersizer - CCNF emulsions (2021): measurements made by Zakir Hossain at various pH for CCNF-stabilised emulsions at 1wt% (.xslx file)
Rheology (08-09/2018): Rheology measurements made by Julien Schmitt for dispersions (labeled "D_rheo") and emulsions ("E_rheo") stabilised by OCNF or CCNF at 1wt%. The folder is divided in 2 subfolders (OCNF and CCNF) one for each type of cellulose, while those are divided in 3 subfolders, corresponding to each type of measurement (viscosity, amplitude sweeps and frequency sweeps) Data is given in graphs as .pdf with the data also included as .txt files.
SANS (2019): SANS data for OCNF and CCNF dispersions at 1wt% but also emulsions with different salt concentration. A more complete description is given in the "description of SANS data.txt" file, in the folder. (Data and fit as .dat, .rds or .fit text files, graphed as .pdf or .jpg)
SEM (10/2013): SEM images (.tif files) made by Yun Jin on freeze-dried OCNF stabilised emulsion at 8gLSEM
Freeze-dried emulsion (30 vol. % cyclohexane and 70 vol. % 8 g/L OCNF suspension) morphology was characterized using a scanning electron microscope (JEOL SEM6480LV or JEOL FESEM6301F, Japan) equipped with an energy dispersive X-ray spectrometer (Oxford INCA X-ray analyzer, UK) operating at an accelerating voltage of 5 or 10 kV. Samples were coated with chromium or gold.
Mastersizer
Emulsion droplet sizes (Sauter diameter D(3,2)) were characterized using a Mastersizer X laser diffraction particle size analyzer (Malvern, UK) equipped with optics appropriate for detection of particle size in the 0.5-180 µm. Samples were measured in triplicate.
Contact angle
Water and hexadecane contact angles on spin-coated films of OCNF, produced from dispersions at pH 7.3 deposited and dried on glass slides, were determined using the sessile drop method at room temperature. Static images were captured using a Discovery VMS-001 USB microscope (Veho) and Dropsnake software with the ImageJ imaging process package to analyze images. Each measurement was conducted in triplicate.
Rheology
Rheology experiments were conducted on a Discovery HR-3 (TA instrument) in plate–plate geometry (40 mm diameter). The geometry was covered with a thin layer of mineral oil to avoid evaporation. Oscillatory strain experiments were conducted at 25 ◦C. A pre-conditioning step of 20 s at zero-shear was applied before each measurement. Oscillatory frequency experiments were conducted at a strain of 0.5 %, within the linear viscoelastic regime. Finally, steady flow measurements were carried out for a shear rate ranging from 10-1 to 102 s-1.
Confocal microscopy
Emulsion droplets were also studied using an inverted confocal laser scanning microscope (CLSM) (ZEISS LSM 880, Germany) in the resonant mode with a 100× oil immersion objective. The emulsion suspension (6 µL) was sandwiched between the coverslips and hermetically sealed by a 120 µm thick spacer with a 5.1 mm aperture (SecureSeal Imaging). Before adding the solution, typically 40 µL of calcofluor white (from Sigma-Aldrich) was added to 1 mL of solution to allow imaging of the cellulose shell, since this dye fluoresces only when bonded to the cellulose nanofibrils.
Small angle neutron scattering (SANS)
Small angle neutron scattering (SANS) experiments were carried out at the Sans2d instrument at ISIS, Rutherford Appleton Laboratory, UK. The q range of the measurements was 0.0015 to 0.25 Å-1 and all experiments were conducted at 25°C. SANS with contrast variation was employed as a non-invasive technique to obtain structural information from the samples in-situ, based on scattering length density (SLD) differences. Data were collected for five different sets of hydrogen and deuterium bearing components (for OCNF and CCNF, both hydrogenated): h-oil/D2O and d-oil/H2O give a full core-shell contrast for the droplets, d-oil/D2O allows scattering from the cellulose only, while h-oil/50%D2O is used to see the core of the droplets only. A last contrast, h-oil/70%D2O was used to confirm results obtained by the other contrasts. The samples were prepared less than a week prior to the SANS experiment. If creaming was observed, the upper phase was selected and pipetted into a 1 mm-thick SANS cell. All the SANS patterns acquired were checked for multiple scattering.to view SEM, AFM, confocal images, contact angle images ImageJ can be used.
.xls and .xsls files require Excel to view.
SASView software (version 4.1.2) was used to fit some of the SAXS data using either a rigid and flexible elliptical cylindrical model
Dataset for "Physiochemical Changes to TTCF Ensilication Investigated Using Time-Resolved SAXS"
No full textThis dataset contains the SAXS data obtained at the European Synchrotron Radiation Facility beamline ID02. All normalised SAXS data files and processed fitting including visualisation data via MatLab is included. All relevant data to the presented figures/table in the article is contained within this archive.Pre-hydrolysed TEOS was prepared by mixing TEOS and ultrapure H2O 1:1 and the addition HCl to catalyse the reaction. This was added to 10 ml of 1 mg/ml TTCF solution, once both phases turned homogenous, at 1:50 ratio at pH 7 in a glass beaker. Using a sterile syringe, 1 ml of sample was taken and injected into a quartz capillary. SAXS measurements were performed on the Time-Resolved Ultra Small-Angle Scattering beam-line ID02 at the European Synchrotron Research Facility (ESRF), Grenoble, France [23]. The incident X-ray energy was 12.46 keV and sample-detector distance was employed at 1.5 m. SAXS data were acquired using the Rayonix MX-170HS detector with exposure times between 0.01 and 0.03 sec. The measured 2D patterns after normalization by incident flux, sample transmission, and the solid angle were azimuthally averaged to obtain the 1D static scattering profiles as a function of the magnitude of scattering vector, q. Where q is given by, q=(4π sinθ)/λ, with λ the incident X-ray wavelength (=0.0996 nm) and θ the scattering angle. This gave a q-range of 0.006<q<0.5 Å^(-1). The scattering background in each case was measured using Tris buffer and the normalized background subtracted data is represented by I(q).SASview 4.0
MatLab 2015
Dataset for Fast, high precision autofocus on a motorised microscope: Automating blood sample imaging on the OpenFlexure Microscope
No full textExample images and analysis code to support the development and publication of a smart stack procedure to use closed loop movements in an autofocus procedure. Includes examples on how images can be processed and tiled, analysed to find the focal plane, and stacks tested to find the distribution of sharpest images within stacks across a large scan or collection of scans.Standard OpenFlexure optics calibration was performed before collecting images to improve the reliability of movements in x-y, and to improve the lens shading across each image.All images collected on an OpenFlexure Microscope.
The OpenFlexure software version used for this development is archived at https://doi.org/10.5281/zenodo.5541934
Written in Python 3.8.2, with requirements given by requirements.txtFull details of the collection methods, analysis and motivation are included in the associated publication
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