cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.6805
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 49247

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: 49247 (X) Source: VDRC Name: Rac1 (2) Full name: Rac1 Also known as: Rac, Drac1, Drac, Rac GTPase, RacA Annotation symbol: CG2248 FlyBase ID: FBgn0010333 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.27
title: Delivering green streets: an exploration of changing perceptions and behaviours over time around bioswales in Portland, Oregon

description: Green Infrastructure (GI) is an increasingly popular means of dealing with flooding and water quality issues worldwide. This study examines public perceptions of, and behaviour around bioswales, which are a popular GI facility in the United States. Bioswales are highly visible interventions requiring support from residents and policy-makers to be implemented and maintained appropriately. To understand how residents’ perceptions and attitudes might develop over time we interviewed residents of Portland, Oregon, living near bioswales installed 1-2, 4-5 and 8-9 years ago, to determine awareness, understanding, and opinions about the devices. We found no consistent patterns across time periods, but did find common issues affecting residents’ appreciation and acceptance: environmental attitudes, awareness and understanding of purpose and function, plant choice and maintenance, and mess and littering. It was apparent that increased public engagement, localized maintenance strategies, and possibly even customizing facilities to meet residents’ needs where feasible, might improve acceptance.
DOI: 10.17639/nott.7444
title: Post COVID return to work qualitative interviews
title: Interviews of participants with and without long covid about their return to work

description: The data encompasses the experiences of participants with long COVID as they return to work following their COVID-19 infections. For comparison, we also interviewed participants who never had COVID-19 to explore their return-to-work experiences after the lockdown. This approach aims to determine whether some difficulties faced by those with long COVID are not directly related to long COVID symptoms but are instead due to the broader impact of the pandemic.
DOI: 10.17639/nott.7449
title: Citizen Carbon Budget Survey Data

description: 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.
DOI: 10.17639/nott.7451
title: Privacy-Preserving Detection of Online Misinformation

description: This repository contains data collected during a user study for a TAS-funded project on the privacy-detection of online misinformation.
DOI: 10.17639/nott.7452
title: Data from doi.org/10.1038/s41598-023-42793-9

description: This data is related to the publication: Classification of cancer cells at the sub-cellular level by Phonon 3 Microscopy using Deep Learning : doi.org/10.1038/s41598-023-42793-9
DOI: 10.17639/nott.7450
title: Interviews of US-based researchers regarding TAS

description: This repository contains the content of interviews conducted by Dr Pepita Barnard and Dr Jeremie Clos with several US-based researchers in 2022. The interviews were focused on people's understanding of trust and trustworthiness in the context of autonomous systems and artificial intelligence. Due to the presence of mixed data (some people not agreeing to data sharing amidst groups agreeing to data sharing) and to the difficulty of tracing contributions from the transcripts to the original contributors, only a subset of the data can be shared ethically.
DOI: 10.17639/nott.7453
title: Prison Regulation for Safer Societies: Participatory, Efficient, Effective?
title: Emotion, Action and Power in the Penal Voluntary Sector, 2019- 2020

description: This deposit contains the signed consent forms for the qualitative data conducted for this study. For queries regarding access to these files please contact Professor Philippa Tomczak at Philippa.Tomczak@nottingham.ac.uk
DOI: 10.17639/nott.7441
title: Reporting of concomitant and rescue topical therapies in atopic dermatitis randomised controlled trials evaluating a systemic treatment: a scoping review

description: The landscape of atopic dermatitis (AD) treatment has witnessed an exponential increase in randomised controlled trials (RCTs) exploring systemic medications. These trials often incorporate topical therapies either as permitted concomitant treatments or as rescue medications. Variable use of these topicals post-randomisation introduces potential bias as they may nullify or exaggerate treatment responses differentially. The objective was to determine the proportion of RCTs that clearly report the allowance or prohibition of concomitant and rescue topical treatments. Secondary outcomes involved examining the reporting of specific parameters for these topicals. We included AD systemic medication RCTs included in the living systematic review of Drucker et al (updated in March 2023). Inclusion criteria were published RCTs evaluating systemic immunomodulatory treatments in eczema. Only anti-inflammatory topical therapies were included as concomitant or rescue topical therapies in this review, emollients were not considered.
DOI: 10.17639/nott.7454
title: Raw data for "Ligand solid-solution tuning of magnetic andpressure response of van der Waalsmetal-organic magnet NiCl2(btd)1−x(bod)x"

description: Underlying data and analysis scripts for publication, including diffraction data, NMR data, magnetic data.
DOI: 10.17639/nott.7457
title: Data for paper 'Timing the Escape of a Caged Electron'
title: Core-Hole Clock Spectroscopy Data for Ar@C60

description: Core-Hole Clock Spectroscopy Data for Ar@C60: Charge transfer is fundamentally dependent on the overlap of the orbitals comprising the transport pathway. This has key implications for molecular, nanoscale, and quantum technologies, for which delocalization (and decoherence) rates are essential figures of merit. Here, we apply the core hole clock technique – an energy-domain variant of ultrafast spectroscopy – to probe the delocalization of a photoexcited electron inside a closed molecular cage, namely the Ar 2p5 4s1 state of Ar@C60. Despite the lack of frontier orbital mixing in the ground configuration, almost 80% of the excited state density is found outside the buckyball due to the formation of a markedly diffuse hybrid orbital. Far from isolating the intracage excitation, the surrounding fullerene is instead a remarkably efficient conduit for electron transfer: we measure characteristic delocalization times of 6.5 ± 0.1 fs and ≲ 0.6 fs, respectively, for a 3D Ar@C60 film and a 2D monolayer on Ag(111).
DOI: 10.17639/nott.7455
title: Chrisp et al., Sex-specific attenuation of constant light-induced memory impairment and Clock gene expression in brain in Hepatic Npas2 knockout mice

description: Series of experiments describing behavioural phenotypes in Npas2 conditional knockout mice. Data to be submitted for publication.
DOI: 10.17639/nott.7460
title: Discovery and Computational Modelling of Adsorbent Polymers that Effectively Immobilize SARS-CoV-2 with Potential Practical Applications

description: Viral translocation is considered a common way for respiratory viruses to spread and contaminate the surrounding environment. Thus, the discovery of non-eluting polymers that immobilize severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) upon contact provides an opportunity to develop new coating materials for better infection control. Here, virion binding polymers are discovered from an existing monomer library via experimental high-throughput screening. Among them, poly(2-diethylamino) ethyl acrylate (pDEAEA) demonstrates dual-function: binding virions strongly and its speed to inactivate adsorbed SARS-CoV-2. Computational models are built based on the experimental screening data. Polymers which are predicted to be pro-adsorption by the virtual screening are poly(1-4-[5-(4-methoxyphenyl)-1H-pyrazol-3-yl]-piperidin-1-yl]- prop-2-en-1-one) (pMPPPP), poly(1-(6-isobutyloctahydropyrrolo[3,4-d]azepin-2(1H)- yl)-2-methylprop-2-en-1-one) (piBOHPAMP) and poly(N-(3-((1-benzylpiperidin-4- yl)oxy)propyl)acrylamide) (pBPOPAm), and these are found to adsorb virions. However, due to limitations in the diversity of structures in the training set, the computational models are unable to predict adsorption of virions for all polymer structures. Summarily, these findings indicate the utility of the methodology to identify coating polymers that effectively immobilize SARS-CoV-2 with potential practical applications (e.g. water and air filtration).
DOI: 10.17639/nott.6519
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 27451

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: 27451 (III) Source: VDRC Name: Dhc36C (1) Full name: Dynein heavy chain at 36C Also known as: Dhc Annotation symbol: CG5526 FlyBase ID: FBgn0013810 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.7458
title: Field reports in support of Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI - https://doi.org/10.1145/3686038.3686041

description: An archive of three field reports in support of: Glenn Mcgarry, Andy Crabtree, Lachlan Urquhart, and Alan Chamberlain. 2024. Responsibility and Regulation: Exploring Social Measures of Trust in Medical AI. In Second International Symposium on Trustworthy Autonomous Systems (TAS ’24), September 16–18, 2024, Austin, TX, USA. ACM, New York, NY, USA, 5 pages. https://doi.org/10.1145/3686038.3686041
DOI: 10.17639/nott.7459
title: Waterpower site gazetteer for the Derbyshire Derwent catchment (past & present) Feb 2023
title: PhD Thesis waterpower site spreadsheet

description: Collection of waterpower sites (mills and non-mills), developed from historic OS maps and walk-over surveys of the Derbyshire Derwent catchment waterways. The gazetteer includes common name, location, current status, reference on the Derbyshire Historic Environment Record (if listed) and quantified use of waterpower where information was available.
DOI: 10.17639/nott.7462
title: Data for paper: Magnetic framework composites via continuous flow syntheses for CO2 capture and other applications

description: Research data for the paper: Magnetic framework composites via continuous flow syntheses for CO2 capture and other applications
DOI: 10.17639/nott.7463
title: Stable matching problem algorithms and instance generator
title: Deferred acceptance and accelerated deferred acceptance implementations

description: The implementations of the Deferred Acceptance (DA) and Accelerated Deferred Acceptance (ADA) algorithms, as well as a pseudo-random instance generator for the Stable Matching Problem, used in the following paper: Gregory Z. Gutin, Daniel Karapetyan, Philip R. Neary, Alexander Vickery, Anders Yeo, Speeding up deferred acceptance.
DOI: 10.17639/nott.7466
title: Experimental Data for Publication 'Formulation of fortified beverage nanoemulsions for space exploration based on the example of omega-3 polyunsaturated fatty acids'

description: The data contains mainly emulsion characteristics (average particle size, particle size distributions, dispersity index) determined via dynamic light scattering against different emulsion compositions (sugar concentration in the aqueous phase, pH of the aqueous phase, composition of the oil phase) and different emulsification methods (batch and continuous microfluidic emulsification). Outliers have been removed. In addition, densities of both aqueous phase and oil phase have been determined and are included in the data set. Furthermore, one SPME GC-MS experiment on flavour release in nanoemulsions compared to a control is included in the data set. Data has been generated at the University of Adelaide (Volker Hessel Research Group, School of Chemical Engineering & Andy Thomas Centre for Space Resources) and the University of Nottingham (International Flavour Research Centre, School of Biosciences) and collaboratively analysed as per the jointly-awarded PhD program between the University of Adelaide and the University of Nottingham.
DOI: 10.17639/nott.7465
title: Experimental Data for Publication 'Treatment of fruit juices with β-glucosidase for release of aroma glucosides'

description: The data set contains determined specific activities of a recombinant beta-glucosidase (family BglA) and the industrial product Rapidase under varying conditions (temperature, pH, sugar concentration, storage etc.). Specific activities have been determined via a spectrophotometric assay. Outliers have been removed. Both enzymes were then used to treat 4 different juice varieties (apple, apple mango, apple raspberry, grape) for 24 h at ambient temperature. The headspace of the treated juices was analysed via SPME GC-MS and compared to fresh and aged juice samples (24 h at ambient temperature). The list of compounds identified via the Tracefinder software of the treated juices and the enzymatic solutions prior to retention time alignment is included in this data set. Data has been generated at the University Bielefeld (Industrial Organic Chemistry and Biotechnology) and the University of Nottingham (International Flavour Research Centre, School of Biosciences) and collaboratively analysed as per the jointly-awarded PhD program with the University of Adelaide.
DOI: 10.17639/nott.7473
title: Poverty-Finance Project

description: Data files and dofiles for the poverty-finance project.
DOI: 10.17639/nott.7438
title: Development and Evaluation of a Framework to Support Accountability in Automated Decision-Making (ADM)

description: Data supporting the PhD thesis Development and Evaluation of a Framework to Support Accountability in Automated Decision-Making (ADM). Data collected between 2021 and 2024.
DOI: 10.17639/nott.7474
title: Data for paper: State-dependent transport in RF-dressed atom chip potentials

description: Research data presented in the publication "State-dependent transport in RF-dressed atom chip potentials"
DOI: 10.17639/nott.7489
title: ChatGPT Concordances

description: A sample of concordances for the ChatGPT discourse.
DOI: 10.17639/nott.7487
title: A Level Algorithm Concordances

description: A sample of concordances from the A Level algorithm discourse.
DOI: 10.17639/nott.6458
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 7229R-1

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: 7229R-1 (III) Source: NIG Name: CG7229 (1) Full name: testis-specifically expressed bromodomain containing protein-2 Also known as: tbrd-2 Annotation symbol: CG7229 FlyBase ID: FBgn0034423 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.7021
title: Simultaneous tracking of Pseudomonas aeruginosa motility in liquid and at the solid-liquid interface reveals differential roles for the flagellar stators Data

description: Tracking coordinates for bacteria measured in 3D by DHM and in 2D by DIC. Pseudomonas PA01 wildtype and flagella stator mutants associated with motAB, motCD and motABCD shown. Data presented in mSystems article 'Simultaneous tracking of Pseudomonas aeruginosa motility in liquid and at the solid-liquid interface reveals differential roles for the flagellar stators', DOI = 10.1128/mSystems.00390-19.
DOI: 10.17639/nott.7423
title: NHS Covid-19 App Twitter Data - NLP Analysis

description: Topic modelling, sentiment analysis and emotion detection results from the analysis of tweets relating to the NHS Covid-19 contact-tracing app.
DOI: 10.17639/nott.7426
title: Fabrication and assessment of a bio-inspired synthetic tracheal tissue model for tracheal tube cuff leakage testing

description: Data from ISO5361:2023 Leakage test experiments.
DOI: 10.17639/nott.7427
title: The future of mental health nursing focus groups

description: Transcripts
DOI: 10.15468/dl.277p84
title: Occurrence Download

description: A dataset containing 430 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Glyptocephalus stelleri (Schmidt, 1904)",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 430 records from 15 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007285-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7471
title: Data for yield and characterisation and performance measurements of UTSA-16 magnetic framework composites synthesised in flow

description: Data collected herein support the following article and supplementary information: Continuous flow synthesis of MOF UTSA-16(Zn), mixed-metal and magnetic composites for CO2 capture – toward scalable manufacture. Data include: yield and temperature for decomposition (TGA), carbon dioxide adsorption and capture-release cycling (TGA), gas sorption isotherms, mineral liberation analysis, vibrating sample magnetometry, induction heating profiles, scanning electron microscopy (SEM) images, and inductively coupled plasma optical emission spectroscopy (ICP-OES), x-ray diffraction and lab book notes.
DOI: 10.17639/nott.7469
title: Research Data supporting [Investigation of simultaneous production of H2 and separable carbon from CH4 in a fluidised bed of NiO/Ca2Fe2O5/CaO particles]
title: Raw experimental data for all gas profiles, carbon deposits, Raman analysis, and XRD characterisations.

description: This dataset includes all the raw experimental data that used for producing the figures/results shown in the paper. These include measured data for all gas (CO, CO2, CH4, and H2) profiles (Figs. 2, 3) of experiments in the fluidised bed, collected data from Raman analysis (Figs. 6,9 and 12), data from XRD tests (Figs.7, 10, and 13). Phase identification in the XRD plots (Figs. 7, 10, and 13) were based references from Inorganic Crystal Structure database, with refinement carried out in MAUD. Carbon deposition data (Figs. 8 and 11) are also provided in this dataset, and these data are processed from raw gas profiles from the fluidised bed experiments, with detailed data process method description presented in the supplementary material S2.
DOI: 10.17639/nott.6430
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 4360R2

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: 4360R2 (III) Source: NIG Name: CG4360 (1) Full name: Also known as: Annotation symbol: CG4360 FlyBase ID: FBgn0038787 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)