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Experimental data for SiC/YAG composite coatings by a novel liquid fuelled high velocity oxy-fuel suspension thermal spray
Publicly available data from the experimental investigation related to the publication entitled "SiC/YAG composite coatings by a novel liquid fuelled high velocity oxy-fuel suspension thermal spray"
Additional file 6 of Effectiveness and implementation of interventions for health promotion in urgent and emergency care settings: an umbrella review
Additional file 3 of Under- and post-graduate training to manage the acutely unwell patient: a scoping review
Additional file 10 of Modulation of long noncoding RNA (lncRNA) and messenger RNA (mRNA) expression in the liver of Beagle dogs by Toxocara canis infection
Additional file 1 of Modulation of long noncoding RNA (lncRNA) and messenger RNA (mRNA) expression in the liver of Beagle dogs by Toxocara canis infection
Additional file 9 of Modulation of long noncoding RNA (lncRNA) and messenger RNA (mRNA) expression in the liver of Beagle dogs by Toxocara canis infection
Dynamic Landscapes by Elsa Kitching
Dynamic Landscapes is an innovative VR game designed to engage players in musical improvisation through gameplay. The core concept involves players using their vocal talents to control their in-game character. By singing different notes, players navigate and explore a virtual landscape, employing both long and short notes to move and jump. The game also features obstacles and non-playable characters (NPCs) that challenge players to replicate note sequences. Successful replication gains players NPC followers, who sing their note sequences together in harmony behind the player. As players amass more followers, harmonies grow richer, providing a platform for players to sing along and draw inspiration. Each level introduces new landscapes and note patterns, creating a dynamic gameplay experience. Although players may not initially realise it, the game effectively serves as a digital score, encouraging improvised musical performances
Citizen Carbon Budget Survey Data
Data from and online survey with 300 UK based participants, investigating the viability, trustworthiness, and public acceptance of a Citizen Carbon Budget (CCB) app to monitor and encourage carbon emission reduction from personal activities and the relation of responses to Schwartz’s Portrait Values Questionnaire
Optimized detection modality for radio-frequency sensing with a double resonance alignment magnetometer
In this work, we presented a comprehensive and comparative analysis of two detection modalities, i.e., polarization rotation and absorption measurement of light, for a double resonance alignment magnetometer (DRAM). To verify theoretical predictions, experiments are carried out using a room-temperature paraffin-coated Caesium vapour cell and measuring either the polarization rotation or absorption of the transmitted laser light.
A detailed experimental analysis of the resonance spectra is performed to validate the theoretical findings for various input parameters. The results signify the use of a single isotropic relaxation rate thus simplifying the data analysis for optimization of the DRAM. The sensitivity measurements are performed and reveal that the polarization rotation detection mode yields larger signals and better sensitivity than absorption measurement of light
DATA for: Conforming with peers in honesty and cooperation
This dataset contains the data and analysis files of experiments conducted on the online platform Prolific