cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17863/cam.32096
title: Research data supporting "All-oxide Nanocomposites to Yield Large, Tunable Perpendicular Exchange Bias above Room Temperature"

description: Data for ‘All-oxide Nanocomposites to Yield Large, Tunable Perpendicular Exchange Bias above Room Temperature’. Abstract of article associated with this dataset at https://doi.org/10.1021/acsami.8b1463 – In all-oxide-based spintronic devices, large exchange bias effect with robustness against temperature fluctuation and compatibility with perpendicular magnetic recording is highly desired. In this work, rock-salt antiferromagnetic NiO with a Néel temperature (TN) of ∼525 K and spinel ferrimagnetic NiFe2O4 with a high Curie temperature, TC, ≈ 790 K and TC &gt; TN were chosen as compatible materials to form a well-phase-separated, vertically aligned nanocomposite thin film. In this nanoengineered thin film, an exchange bias effect with a blocking temperature far above room temperature has been achieved. A large perpendicular exchange bias field of up to 0.91 kOe with an interfacial exchange energy density of 0.11–0.34 erg/cm2 was obtained at room temperature. It was also demonstrated that the exchange bias effect can be easily tuned by changing the alignment of the magnetic moments in the NiO phase using substrates of different crystalline orientations and by changing the microstructure of the film with substrates of different lattice parameters. The results demonstrate that proper choice of the phases (including use of nonperovskite compositions) and careful strain engineering and nanostructure engineering makes oxide nanocomposites strong potential candidate systems for next generation spintronic devices.
DOI: 10.23668/psycharchives.2660
title: Dataset for: Breakoffs in Web Surveys: Separating Introduction and Questionnaire Breakoffs
title: Anonymized dataset: survey breakoff rates and the number of questionnaire elements

description: Dataset for: Gregor Čehovin, Vasja Vehovar (2019). Breakoffs in Web Surveys: Separating Introduction and Questionnaire Breakoffs.
DOI: 10.17863/cam.15616
title: Uganda Village Networks 2013

description: Project: Social network analysis for improving mass drug administration Data collection: Census-based, observational survey
DOI: 10.17863/cam.111776
title: Research data supporting the STRAT-BCS survey (Public acceptability and anticipated uptake of risk-stratified bowel cancer screening in the UK: An online survey)

description: This is the data collected as part of the STRAT-BCS survey study (Public acceptability and prospective uptake of risk-stratified bowel cancer screening: an online survey). The dataset contains the psuedonymised data collected in the online survey. The study protocol, consent form, participant information sheet and survey are attached with this record.
DOI: 10.17863/cam.13008
title: Escherichia coli tryptophanase (TnaA-GFP) expression at different stages of growth (flow cytometry)

description: We used flow cytometry to investigate intercellular distribution of E. coli tryptophanase, the enzyme that synthesize indole. The data fill the gap in studies of tryptophanase and corroborated previous works by other groups. We found that tryptophanase level in individual cells is highly heterogeneous.
DOI: 10.17863/cam.25438
title: Data supporting "Stochastic spin flips in polariton condensates: nonlinear tuning from GHz to sub-Hz"

description: Data used to create the figures in "Stochastic spin flips in polariton condensates: nonlinear tuning from GHz to sub-Hz". Part of del Valle-Inclan Redondo's thesis "Spin and lattice properties of optically trapped exciton polaritons"
DOI: 10.17863/cam.26349
title: Research data supporting "Plasmon-Directed Polymerization: Regulating Polymer Growth with Light"

description: datasets for figures in manuscript
DOI: 10.17863/cam.72114
title: Data in support of "Lack of effect of propranolol on the reconsolidation of conditioned fear memory due to a failure to engage memory destabilisation"

description: Research data in support of publication. There are two files: one containing the dataset, and a metadata file explaining the organisation of the spreadsheets. The dataset contains behavioural data (conditioned freezing scores) that were quantified manually by an experimenter blind to experimental condition. Rats underwent pavlovian fear conditioning, a brief memory reminder session, and two tests of long-term memory. Freezing was quantified during the conditioning session (prior to presentation of the conditioned stimulus and during presentation of the conditioned stimulus), during the reminder session (before and during presentation of the conditioned stimulus) and during the test sessions (before and during presentation of the conditioned stimulus). Also within the dataset are the quantification of pan-Shank bands as measured through western blots, normalised to expression of the control protein beta-actin.
DOI: 10.17863/cam.112730
title: Research Data Supporting: "Optimisation of animal handing and timing of 2-deoxy-2-[18F]fluoro-D-glucose PET tumour imaging in mice."

description: The raw data were generated using a nanoScan PET/CT (Mediso) and images processed using VivoQuant 3.0 (InviCRO). The data uploaded are are tables of raw data for the following: Figure 1: SUVmean for different regions of interest in EL4 tumour-bearing mice under warmed and fasted conditions. Tumour-to-blood Ratios: tumour-to-blood ratios for the different tumour types and animal handling conditions. Figure 2a, 3a: Left ventricular myocardium SUVmean in mice with different tumour types and under different animal handling conditions. Figure 2b, 3b: Tumour SUVmean for the different tumour types under different animal handling conditions. Figure 5a: The net influx rate (Ki) and SUVmean at different times post-injection of [18F]FDG for different different mice and animal handling conditions. Figure 5b: The net influx rate (Ki) and tumour-to-blood ratio at different times post-injection of [18F]FDG for different different mice and animal handling conditions. Figure 6: Bland Altman analysis compaing the estimated Ki using a population based imaged derived input function (PBDIF) with the measured Ki. Raw Data 2 min bins, Patlak: the raw measured activity and calculations used to derive Patlak plots for tumours and left ventricular myocardium in the different tumour types and animal handling conditions.
DOI: 10.23668/psycharchives.2675
title: Data set: A Year after Treatment in ICU
title: Psychological Morbidity a Year after Treatment in Intensive Care Unit (PMYICU)
DOI: 10.17863/cam.32022
title: Research data supporting "Hierarchical Photonic Pigments via the Confined Self-Assembly of Bottlebrush Block Copolymers"

description: Supporting data for the article titled "Hierarchical Photonic Pigments via the Confined Self-Assembly of Bottlebrush Block Copolymers". The article was accepted for publication in 2019 in the journal "ACS Nano". Electronic supporting Information is available from the publisher (ACS). The data is provided within a structured set of folders compressed in zip, each correlating to a specific figure in the article. Spreadsheets are provided as ‘.xlsx’; images as ‘.bmp’, ‘.jpeg’, ‘.tiff’ and ‘.png’; and NMR spectra are provided in ‘.fid’ file format. Nb. The individual tick of the scale bar images corresponds to a spacing of 10 µm.
DOI: 10.17863/cam.92264
title: Research data supporting "Operando Magnetic Resonance Imaging of Product Distributions within the Pores of Catalyst Pellets during Fischer-Tropsch Synthesis"

description: The data files contain the data reported in the main text of the paper. The Excel file Fig. 1 includes the data of CO conversions, C5+ selectivities and the H2/CO ratios at the reactor outlet collected at different feed H2/CO ratios. The data for the carbon number distributions of the wax products collected from the reactor exit are also included. The Matlab file Fig. 2 includes the data of the 3D intensity MRI image of the reactor. The Matlab file Fig. 3a contains the 2D intensity images of a local catalyst layer measured during the reactor start-up. The Excel file Fig. 3b-e include the data of total signal intensity of the catalyst layer, average diffusion coefficients and carbon numbers of products in catalyst pores and the selectivities of CH4 and C5+ as functions of reaction time. The data of the correlation between pore saturation and product selectivity are also included in file Fig. 3b-e. The Matlab files Fig. 4 and Fig. 5a include the data of 2D images of average diffusion coefficients and carbon numbers at the 3 catalyst layers and 3 different feed ratios. The Excel file Fig. 5b includes the data of the histograms of average carbon numbers. The Matlab file Fig. 6a includes the image data of average carbon number obtained from a local region of a catalyst layer. The Excel file Fig. 6b-c contains the data of the histograms of average carbon numbers collected from a local catalyst pellet and of the carbon number distributions measured from a local position within the catalyst pellet. The Excel file Fig. 7 includes the average carbon numbers of the products confined in catalyst pores and collected from the reactor exit, along with the diffusion coefficients and Henry’s law constants of the H2 and CO dissolved in the products of average carbon number between 20-80. The Matlab file Fig. 8 includes the data of the 2D NMR spectrum correlating chemical shifts and T1 relaxation times.
DOI: 10.17863/cam.32282
title: Research data supporting "Flexibility defines structure in crystals of amphiphilic DNA nanostars"

description: Zip folder containing raw 2D SAXS patterns of aggregates of each of the cholesterol functionalised DNA nanostar designs presented in the main text, in both buffer conditions tested. All SAXS data were collected at the Diamond Light Source, beamline I22 during two visits (visit ID's sm16024 and sm17271). A folder for each visit can be found within the Zipped folder. Within each of these folders can be found the 2D SAXS patterns of the buffer, samples investigated (naming convention as in main text), and silver behenate (AgBe) calibrant. See 'readme' for further information.
DOI: 10.23668/psycharchives.2680
title: Dataset for: Meta-analytische Strukturgleichungsmodelle: Potenziale und Grenzen illustriert an einem Beispiel aus der Organisationspsychologie
title: MASEM Daten

description: Meta-analytische Ansätze gehören in der Psychologie inzwischen zum einschlägigen Methodeninventar zur Synthese empirischer Befunde und zur Ableitung evidenz-basierter Maßnahmen. Bisher dominieren univariate Ansätze, welche auf die Integration und Analyse einzelner Effektstärken abzielen und damit zur Prüfung multivariater (Kausal–)‌Zusammenhänge von begrenztem Wert sind. Meta-analytische Strukturgleichungsmodelle (MASEM) stellen eine hilfreiche Erweiterung dar, da sie eine meta-analytische Analyse komplexer multivariater Strukturen ermöglichen. Darüber hinaus lassen sich mittels MASEM multivariate Effektstärkenabhängigkeiten sowie Mehrebenenstrukturen abbilden. Ziel des Beitrags ist, die konzeptionellen Grundlagen von MASEM zu skizzieren und anhand eines empirischen Beispiels aus der Organisationspsychologie zu illustrieren. Den Abschluss bildet eine kritische Diskussion der Limitationen des Ansatzes.
description: Meta-analyses are a important part of the methodological inventory for the synthesis of empirical findings and the derivation of evidence-based measures. So far, univariate approaches have dominated, which aim at the integration and analysis of individual effect sizes and are, thus, of limited value for testing multivariate (causal) relationships. Meta-analytical structural equation models (MASEM) represent a helpful extension, as they allow a meta-analytical analysis of complex multivariate structures. In addition, MASEM can be used to map dependencies between multivariate effect sizse and multi-level structures. The aim of this paper is to outline the conceptual foundations of MASEM and to illustrate them using an empirical example from organizational psychology. Finally, a critical discussion of the limitations of the approach will be provided.
description: Dataset for: Steinmetz, H., Bosnjak, M., & Isidor, R. (2020). Meta-analytische Strukturgleichungsmodelle: Potenziale und Grenzen illustriert an einem Beispiel aus der Organisationspsychologie. Psychologische Rundschau, 71(2), 111–118. https://doi.org/10.1026/0033-3042/a000483
DOI: 10.17863/cam.50489
title: Research data supporting "MuonTrap: Preventing Cross-Domain Spectre-Like Attacks by Capturing Speculative State"

description: This repository contains artefacts and workflows to reproduce experiments from the ISCA 2020 paper by S. Ainsworth and T. M. Jones, "MuonTrap: Preventing Cross-Domain Spectre-Like Attacks by Capturing Speculative State". It contains the gem5-based simulator and scripts for running benchmarks on it.
DOI: 10.17863/cam.76484
title: Data for "Photoelectrochemical hybrid cell for unbiased CO2 reduction coupled to alcohol oxidation"

description: See uploaded word file: Open Data Structure.docx
DOI: 10.17863/cam.20982
title: Physical and Biological characterization of composite scaffolds for cartilage replacement

description: The following data files are provided: Physical characterization - Raw indentation curves for the composite materials and the two single components, as well as an Excel file containing the numerical results obtained from mechanical testing and swelling analysis. Biological characterization - Excel files containing raw data and numerical results for the number of cells over time in 2D and 3D, cell morphology in 2D, metabolic activity in 3D, and cell migration in 3D.
DOI: 10.17863/cam.111998
title: Research data supporting "Active Diagnostic Ingredients (ADIs) for PCR: a mini-Bioreactor producing dNTPs with silica immobilised R5-kinases"

description: Data supporting manuscript "Active Diagnostic Ingredients (ADIs) for PCR: a mini-Bioreactor producing dNTPs with silica immobilised R5-kinases". Date of data collection: 2021-09-01 through 2024-06-01. Please see file "Bird_Hall Bioreactor_Dataset_Readme" for more information about the data collection and file content and organisation.
DOI: 10.23668/psycharchives.2686
title: Professional Knowledge or Motivation? Investigating the Role of Teachers’ Expertise on the Quality of Technology-Enhanced Lesson Plans [Dataset]
title: Dataset for: Professional Knowledge or Motivation? Investigating the Role of Teachers’ Expertise on the Quality of Technology-Enhanced Lesson Plans

description: In an expertise study with 94 mathematics teachers varying in their relative teacher expertise (i.e., student teachers, trainee teachers, in-service teachers), we examined effects of teachers' professional knowledge and motivational beliefs on their ability to integrate technology within a lesson plan scenario. Therefore, we assessed teachers' professional knowledge (i.e., content knowledge, pedagogical content knowledge, technological knowledge), and their motivational beliefs (i.e., self-efficacy, utility-value). Furthermore, teachers were asked to develop a lesson plan for introducing the Pythagorean theorem to secondary students. Lesson plans by advanced teachers (i.e., trainee teachers, in-service teachers) comprised higher levels of instructional quality and technology exploitation than the ones of novice teachers (i.e., pre-service teachers). The effect of expertise was mediated by teachers' perceived utility-value of educational technology, but not by their professional knowledge. These findings suggest that teachers’ motivational beliefs play a crucial role for effectively applying technology in mathematics instruction.
description: Dataset for: Backfisch, I., Lachner, A., Hische, C., Loose, F., & Scheiter, K. (2020). Professional knowledge or motivation? Investigating the role of teachers’ expertise on the quality of technology-enhanced lesson plans. Learning and Instruction, 66, 101300. https://doi.org/10.1016/j.learninstruc.2019.101300.
DOI: 10.23668/psycharchives.2688
title: Dataset for: Higher-order cognition does NOT modulate multisensory distractor processing
title: msf_av_mirror2.txt

description: Multisensory processing is required for the perception of the majority of everyday objects and events. In the case of irrelevant stimuli, the multisensory processing of features is widely assumed to be modulated by attention. In the present study, we investigated whether the processing of audiovisual distractors is also modulated by higher-order cognition. Participants fixated a visual distractor viewed via a centrally-placed mirror and responded to a laterally-presented audiovisual target. Critically, a distractor tone was presented from the same location as the mirror, while the visual distractor feature was presented at an occluded location, visible only indirectly via mirror reflection. Consequently, it appeared as though the visual and auditory features were presented from the same location though, in fact, they actually originated from different locations. Nevertheless, the results still revealed that the visual and auditory distractor features were processed together just as in the control condition, in which the audiovisual distractor features were both actually presented from fixation. Taken together, these results suggest that the processing of irrelevant multisensory information is not influenced by higher-order cognition.
description: Dataset for: Merz, S., Jensen, A., Burau, C., Spence, C., & Frings, C. (2020). Higher-Order Cognition Does Not Affect Multisensory Distractor Processing. Multisensory Research, 1–14. https://doi.org/10.1163/22134808-bja10013
DOI: 10.17863/cam.22951
title: Research data supporting 'Theoretical prediction of thermal polarisation'

description: lammps-11Aug17_mod.tbz2: A modified version of LAMMPS used in the manuscript. simulation_and_figures.tbz2: Input files that can be used to generate the data in the manuscript, and output files for both simulation results and theoretical predictions shown in the manuscript.
DOI: 10.23668/psycharchives.2693
title: Body posture and interpersonal perception in a dyadic interaction: A Big Two Analysis [Dataset]
title: Dataset for: Body posture and interpersonal perception in a dyadic interaction: A Big Two Analysis

description: Body posture influences feelings about the self, but little is known about its impact on social cognition more generally. We apply the Big Two framework (Agency/Competence, Communion/Warmth) and study how body posture influences interpersonal perception in a dyadic interaction. In three experiments, we studied dyads with different body postures (Exps. 1 and 2: expanded/restricted; Exp. 3: expanded/neutral). Dyad members worked on a joint task, and rated self and other. Findings showed that participants in an expanded posture rated the self higher and the other lower on agency, whereas those in a submissive (or neutral) posture rated the self lower and the other higher on agency. In Experiment 2, participants in a submissive posture also rated their communion lower. Results are important both for the impact of body posture on interpersonal perception and for context effects in the relationship of Agency versus Communion ratings of self and others.
description: Dataset for: Abele, A. E., & Yzerbyt, V. (2021). Body posture and interpersonal perception in a dyadic interaction: A Big Two analysis. European Journal of Social Psychology, 51(1), 23–39. https://doi.org/10.1002/ejsp.2711
DOI: 10.17863/cam.51754
title: Research data supporting "Cytoskeletal organisation in isolated plant cells under geometry control"

description: This data is made of z-stacks obtain by confocal microscopy. In this data set, you will find six folders. Each folder is named after the figure number in the original publication. One folder corresponds to one figure of the paper with the microscopy data for that figure; for example, the folder named figure2 contains all the microscopy data for figure2 of the article. Within each figure folder, you will find subfolders classified by the category of the data. Each figure folder contains subfolders. The first subfolder is named after the type of cytoskeletal element that was imaged (actin or microtubules). The next subfolder corresponds to which shape the cells were confined in (controls, rectangles, squares, triangles or circles). The last subfolder is the date the images were taken and contains all the files obtained that day. Each file corresponds to one cell and is named stack_c1.czi, stack_c2.czi ... for every cell imaged that day. Every file is a collection of focus plan acquired with the z-stack mode of the Zen software (Zeiss) and these files can be opened with Fiji software. Further details about the image analysis and the data analysis for the associated article can be found on the GitLab page of the publication: https://gitlab.com/slcu/teamHJ/publications/durand_etal_2019/-/tree/master.
DOI: 10.17863/cam.46535
title: Research data supporting "MarkUs: Drop-in use-after-free prevention for low-level languages"

description: This is a prototype allocator for the prevention of use-after-free attacks, as described in the S&P 2020 Paper - "MarkUs: Drop-in use-after-free prevention for low-level languages" by S. Ainsworth and T. M. Jones. It is implemented as a modification of the Boehm-Demers-Weiser garbage collector, and is distributed under the same license.
DOI: 10.17863/cam.39711
title: Data supporting "Momentum-dependent power law measured in an interacting quantum wire beyond the Luttinger limit"

description: Data supporting the paper, together with Mathematica scripts for fitting the data to the theory, and Matlab scripts for plotting the data and fits.
DOI: 10.17863/cam.58559
title: Research data supporting ‘High-Throughput Electrical Characterisation of Nanomaterials From Room to Cryogenic Temperatures’

description: Measurements are performed using electrical methods described in the paper. Data to generate all plots in the associated publication are contained within the zipped file as separate ‘.txt’ files. The README.txt file contains information about each separate file.
DOI: 10.17863/cam.102000
title: Research Data Supporting "Characterisation of the interplay between microstructure and opto-electronic properties of Cu(In,Ga)S2 solar cells by using correlative CL-EBSD measurements"

description: The project is intended to research the influence of microstructure of grain boundaries on the radiative recombination activities of Cu(In,Ga)S2 solar cells. Two microscopy techniques were used, cathodoluminescence (CL) and electron backscatter diffraction (EBSD). The CL data was acquired by an Attolight Allalin 4027 Chronos dedicated CL-SEM with a 150 l/mm and 700 nm blazed grating. All CL maps were acquired with 3 kV beam energy, 1.25 nA measurement current, and 50 µm aperture size. The CL data was processed by the python library Lumispy. An indepth tutorial in how to use Lumispy can be found here: https://docs.lumispy.org/en/latest/ EBSD data was measured by a Zeiss GeminiSEM equipped with Oxford Instruments HKL Symmetry S3 detector. The software used in data acquisition is AZtec 4.0. The stepsize of maps is 30 µm and the phase for indexing is cubic zinc blende phase. The data was processed and analysed by MTEX, and open-sourced Matlab toolbox. All measurements were done at room temperature.
DOI: 10.17863/cam.6832
title: Research data supporting "Cartilage-like electrostatic stiffening of responsive cryogel scaffolds

description: The following data files are provided: Summary of results: numerical values used to plot each figure in the manuscript, as well as values used to calculate each parameter when applicable. Raw macroindentation and microindentation data: the load vs. time curves obtained by spherical indentation on a universal testing machine and on an AFM. Confocal data: contains representative confocal datasets, presented as .lsm files, for each physical cryogel sample in the neutral and activated states. READ ME: A word document describing each file and its contents.