cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.6873
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 1284

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 1284 (III) Source: VDRC Name: side (2) Full name: sidestep Also known as: Annotation symbol: CG31062 FlyBase ID: FBgn0016061 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6876
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 40295

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 40295 (X) Source: VDRC Name: Sirt4 Full name: Sirtuin 4 Also known as: Annotation symbol: CG3187 FlyBase ID: FBgn0029783 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6187
title: On-Surface Synthesis within a Porphyrin Nanoring Template

description: On-surface synthesis provides a route for the production of 1D and 2D covalently bonded polymeric structures. Such reactions are confined to the surface of a substrate and the catalytic properties of the substrate are often utilised to initiate the reaction. Recent studies have focused on the properties of various crystallographic planes of metallic substrates, as well as native surface features such as step-edges, in an effort to provide control over the pathway of the reaction and the resultant products. An alternative approach is to template the catalytic surface with a porous molecular overlayer; giving rise to well-defined surface regions within which an on-surface reaction may be confined. Here we present a methodology where macromolecular templates are used to confine an on-surface reaction. Cyclic porphyrin polymers, nanorings - consisting of 40 porphyrin units with internal diameter 13 nm, are used to form a template on a Au(111) surface, and an on-surface Ullmann-type coupling reaction is initiated within the nanoring template. The surface confined template and covalently coupled reaction products are investigated and characterised with scanning tunnelling microscopy.
DOI: 10.17639/nott.7020
title: Triplet excitation and electroluminescence from a supramolecular monolayer embedded in a boron nitride tunnel barrier

description: We show that ordered monolayers of organic molecules stabilized by hydrogen bonding on the surface of exfoliated few-layer hexagonal boron nitride (hBN) flakes may be incorporated into van der Waals heterostructures with integral few-layer graphene contacts forming a molecular/2D hybrid tunneling diode. Electrons can tunnel from through the hBN/molecular barrier under an applied voltage VSD and we observe molecular electroluminescence from an excited singlet state with an emitted photon energy &gt; eVSD, indicating up-conversion by energies up to ~ 1 eV. We show that tunnelling electrons excite embedded molecules into singlet states in a two-step process via an intermediate triplet state through inelastic scattering and also observe direct emission from the triplet state. These heterostructures provide a solid-state device in which spin-triplet states, which cannot be generated by optical transitions, can be controllably excited and provide a new route to investigate the physics, chemistry and quantum spin-based applications of triplet generation, emission and molecular photon up-conversion.
DOI: 10.17639/nott.7035
title: Data for 'Man’s Best Friends: Attitudes Towards the Use of Different Kinds of Animal Depend on Belief in Different Species’ Mental Capacities and Purpose of Use'
title: To accompany manuscript published in Royal Society Open Science (2020)

description: SPSS file of the data described in the publication. Should be self-explanatory but please feel free to contact the lead or corresponding author in case of any query - HiggsM@cardiff.ac.uk; helen.cassaday@nottingham.ac.uk
DOI: 10.17639/nott.7034
title: Raw data for new compounds described in the paper "Enantioselective nickel-catalyzed arylative and alkenylative intramolecular 1,2-allylations of tethered allene-ketones"

description: Raw data for new compounds described in the paper "Enantioselective nickel-catalyzed arylative and alkenylative intramolecular 1,2-allylations of tethered allene-ketones".
DOI: 10.17639/nott.6577
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 11152R-2

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 11152R-2 (III) Source: NIG Name: fd102C Full name: forkhead domain 102C Also known as: Annotation symbol: CG11152 FlyBase ID: FBgn0039937 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6575
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 42237

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 42237 (III) Source: VDRC Name: fas Full name: Also known as: Annotation symbol: CG17716 FlyBase ID: FBgn0000633 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6578
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 37062

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 37062 (III) Source: VDRC Name: fkh (1) Full name: fork head Also known as: Sebp2 Annotation symbol: CG10002 FlyBase ID: FBgn0000659 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.6456
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 23447

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 23447 (III) Source: VDRC Name: CG6480 Full name: FSHD region gene 1 Also known as: FRG1 Annotation symbol: CG6480 FlyBase ID: FBgn0036964 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.7201
title: Mushroom-shaped structures formed in Acinetobacter baumannii biofilms grown in a roller bioreactor are associated with quorum sensing dependent Csu-pilus assembly

description: Study on the influence of quorum sensing regulation on biofilm maturation in Acinetobacter baumannii
DOI: 10.17639/nott.7199
title: Data corresponding to the work: "TRAIL part 3: The stable orientation of aggregate ice particles in free-fall"

description: This data set corresponds to the work entitled "TRAIL part 3: The stable orientation of aggregate ice particles in free-fall" and contains files regarding the shape of particles studied and the orientation adopted in free-fall.
DOI: 10.17639/nott.7200
title: Single photon switch and facilitation induced transparency with dual-channel Rydberg interactions

description: Data for "Single Photon Switch and Facilitation Induced Transparency with Dual-channel Rydberg Interactions"
DOI: 10.17639/nott.7196
title: Trajectory phase transitions in non-interacting systems: all-to-all dynamics and the random energy model

description: Data for figures in "Trajectory phase transitions in non-interacting systems: all-to-all dynamics and the random energy model" paper with Chokri Manai and Simone Warzel
DOI: 10.17639/nott.7193
title: Inference for a spatio-temporal model with partial spatial data: African horse sickness virus in Morocco example

description: An example randomly generated region-level spatial distribution and code associated with Emma L. Fairbanks, Matthew Baylis, Janet M. Daly, Michael J. Tildesley. Inference for a spatio-temporal model with partial spatial data: African horse sickness virus in Morocco, Epidemics, 2022, 100566, ISSN 1755-4365, https://doi.org/10.1016/j.epidem.2022.100566. (https://www.sciencedirect.com/science/article/pii/S1755436522000202) Abstract: African horse sickness virus (AHSV) is a vector-borne virus spread by midges (Culicoides spp.). The virus causes African horse sickness (AHS) disease in some species of equid. AHS is endemic in parts of Africa, previously emerged in Europe and in 2020 caused outbreaks for the first time in parts of Eastern Asia. Here we analyse a unique historic dataset from the 1989-1991 emergence of AHS in Morocco in a naïve population of equids. Sequential Monte Carlo and Markov chain Monte Carlo techniques are used to estimate parameters for a spatial–temporal model using a transmission kernel. These parameters allow us to observe how the transmissiblity of AHSV changes according to the distance between premises. We observe how the spatial specificity of the dataset giving the locations of premises on which any infected equids were reported affects parameter estimates. Estimations of transmissiblity were similar at the scales of village (location to the nearest 1.3 km) and region (median area 99 km2), but not province (median area 3000 km2). This data-driven result could help inform decisions by policy makers on collecting data during future equine disease outbreaks, as well as policies for AHS control. Keywords: Vector-borne disease; Spatio-temporal model; Bayesian inference
DOI: 10.17639/nott.7050
title: Immune Modulation by Design: Using Topography to Control Human Monocyte Attachment and Macrophage Differentiation

description: Material topography is known to influence macrophage attachment and phenotype, providing opportunities for the rational design of ‘immune-instructive’ topographies to modulate macrophage function and thus foreign body responses to biomaterials. However, no generalisable understanding of the inter-relationship between topography and cell response exists. We therefore utilise a high throughput screening approach to investigate the relationship between topography and human monocyte-derived macrophage attachment and phenotype, using a diverse library of 2176 micropatterns generated by an algorithm. We use machine learning to successfully build a model that correlates cell attachment and phenotype with a selection of descriptors, illustrating that materials can potentially be designed to induce pro-inflammatory, anti-inflammatory or regulatory immune responses, for future application in the fight against foreign body rejection of medical devices.
DOI: 10.17639/nott.7205
title: Evaluation of the relative potential for contact and doffing transmission of SARS-CoV-2 by a range of personal protective equipment materials_supplementary data

description: The datasets generated and/or analysed during the study to support publications and reports.
DOI: 10.17639/nott.7036
title: Raw data for new compounds described in the paper "Catalytic enantioselective arylative cyclizations of alkynyl 1,3-diketones by 1,4-rhodium(I) migration"

description: Raw data for new compounds described in the paper "Catalytic enantioselective arylative cyclizations of alkynyl 1,3-diketones by 1,4-rhodium(I) migration"
DOI: 10.17639/nott.7366
title: Data for 'Effects of manipulating prefrontal activity and dopamine D1 receptor signalling in an appetitive inhibitory discrimination learning task'

description: Deposited as a condition of manuscript review (to be shared upon publication)
description: Data for 3 experiments, as described in the manuscript 'Effects of manipulating prefrontal activity and dopamine D1 receptor signalling in an appetitive inhibitory discrimination learning task'
DOI: 10.17639/nott.7390
title: Queer Temporal by Solomiya Moroz
title: Installation Performance Queer Temporal

description: This digital score installation-performance delves into the disruptive nature of time on queer individuals, exploring themes of control, precarity, obstacles, and loss through repetition, entropy, and exaggerated sonic elements. Collaborative methods are utilised for performers to explore temporal continuity and discontinuity, drawing from sources like military and gay liberation marches. The piece employs randomised live audio prompts and an immersive audio installation, with performers interpreting archived materials and memories while navigating obstacles over an hour-long dynamic exploration. It incorporates clubbing tracks inspired by queer voguing culture and utilises transducers on drums for recorded materials, reshaping the narrative through interaction with instruments associated with marches.
DOI: 10.17639/nott.7385
title: Returns & Simulacra by Solomiya Moroz

description: Returns and Simulacra is a digital score that integrates sound, video projections, and live performance to explore themes of identity and reality. The performer, Zubin Kanga, interacts with a digital score using an instrument called Piano Hands, which incorporates mini bee accelerometers and touch-sensor attachments. This instrument allows Kanga to control a Max/MSP patch interface wirelessly, shaping the audiovisual elements of the performance in real time. The piece delves into the performer's multiple identities on stage, blurring the lines between reality and virtuality. It incorporates footage of Kanga himself, as well as archived performances of British queer cabaret performers from the past, such as Douglas Byng from the 1930s. These different characters are matched with specific piano sound samples, creating a juxtaposition between traditional and modern, classical and comedic, and various other contrasts.
DOI: 10.17639/nott.7387
title: Predictors of Relapsing MOGAD: A Scoping Review

description: Before This scoping review was conducted with the aim of generating an understanding of the current literature about predictors of relapsing myelin oligodendrocyte glycoprotein antibody associated disease (R-MOGAD). The primary outcome was to identify the most suitable predictors to be inputted into the primary analysis of the statistical model for the Study Protocol - modelling predictors for relapsing disease in MOGAD, doi.org/10.17639/nott.7368. Choosing the right independent variables that are causative and not confounding is key to a successful logistic regression model. The secondary outcome was to find alternative, less investigated potential predictors to be inputted into the model as a sensitivity analysis. It also provided guidance on what future research should focus on by contextualising each predictor and their given parameters.
DOI: 10.17639/nott.7384
title: Spinning Q-ball Superradiance in 3+1D

description: The data stored here was generated in the paper https://arxiv.org/abs/2402.03193 and used for the figures in that paper.
DOI: 10.17639/nott.6473
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 23159

description: This data set forms part of the larger 'Fly Cancer Screen' data set, which consists of over 700 image sets
description: Metastasis is the leading cause of death for cancer patients. Consequently it is imperative that we improve our understanding of the molecular mechanisms that underlie progression of tumour growth towards malignancy. Advances in genome characterisation technologies have been very successful in identifying commonly mutated or misregulated genes in a variety of human cancers. A major challenge however is the translation of these findings to new biological insight due to the difficulty in evaluating whether these candidate genes drive tumour progression. Using the genetic amenability of Drosophila melanogaster we generated tumours with specific genotypes in the living animal and carried out a detailed systematic loss-of-function analysis to identify numerous conserved genes that enhance or suppress epithelial tumour progression. This enabled the discovery of functional cooperative regulators of invasion and the establishment of a network of conserved ‘invasion suppressors’. RNAi line: 23159 (III) Source: VDRC Name: CG9095 Full name: Also known as: Annotation symbol: CG9095 FlyBase ID: FBgn0030617 File naming convention: File names typically contain representations of date (DDMMYY), RNAi Line, Animal Number and, in some cases, window (to accommodate larger samples that require multiple image stacks)
DOI: 10.17639/nott.7494
title: Experimental Data for Conference Proceedings: Generation of O/W nanoemulsions via spontaneous emulsification in self-assembly, macrofluidics, and microfluidics to produce fortified beverages for astronauts

description: The data set consists of average droplet size measurements of emulsions generated by either (1) self-assembly (i.e., solvent-free variant of spontaneous emulsification) only; (2) self-assembly in combination with small-scale batch process (approx. 5 ml, in a stirred beaker); (3) self-assembly in combination with medium-scale batch process (approx. 100 ml, burette/beaker setup); (4) self-assembly in combination with a single-contact continuous, microfluidic process (T-mixer); (5) self-assembly in combination with a multi-contact continuous, microfluidic process (Corning Low-Flow reactor). Additionally, for process (1-3), relative oil content was varied at constant surfactant-to-oil ratio (SOR) and average droplet size determined.