cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.7108
title: The Impact of COVID-19 on the Working Equid Community
title: Responses from 1,530 working equid owners across project groups in 14 Low- and Middle-Income Countries

description: Raw data from 1530 responses to a structured interview conducted by World Horse Welfare in 14 countries where they have international projects. Questions concerned the impact of the pandemic on personal income and the welfare of their working equid.
DOI: 10.17639/nott.7099
title: Natural polymers for consolidation of the Oseberg artefacts photographs and SEM images from wood treatment
title: Natural polymers for consolidation of the Oseberg artefacts- Appendix for PhD thesis

description: Appendix for PhD thesis -Natural polymers for consolidation of the Oseberg artefacts. The electronic appendix for the thesis includes numerous photographs and SEM images related the thesis content that could not in included in the thesis. Photographs and scans of each piece of wood on all sides and before and after treatment were taken. An example of each was included in the thesis. However, in case it is required to review this data in the future, all photographs and scans are included in the appendix. Photographs show the top of the wood and the side. The scans allowed for all 6 sides to be documented. Also included in this electronic appendix is other raw data that might be of use to others in the future, such as SEM images, see appendix content for more details.
DOI: 10.17639/nott.7151
title: Data for surface-controlled spatially heterogeneous physical properties of a supramolecular gel with homogeneous chemical composition

description: Data related to the research article entitled 'Surface-controlled spatially heterogeneous physical properties of a supramolecular gel with homogeneous chemical composition '.
DOI: 10.17639/nott.7156
title: DFT data for "Enantioselective “clip-cycle” synthesis of di-, tri- and spiro- substituted tetrahydropyrans"

description: This dataset contains Gaussian DFT output files of the key ground-states and transition state DFT optimized structures. There is one top level folder. 'DFT data' contains computational files from the investigation of the full pathway of the enantioselective oxy-Michael reaction using the full (R)-TRIP molecule catalyst, corresponding to Scheme 2 and Figure 3 in the paper. The folder contains 5 subfolders, corresponding to various steps in the reaction pathway. 1_SM - the cyclization precursor in complex with the (R)-TRIP catalyst 2_CyclTS - cyclization transition states 3_Enol - enol intermediates in complex with the (R)-TRIP catalyst 4_TautTS - (R)-TRIP catalyzed tautomerization transition states 5_P - Cyclized product complexes with (R)-TRIP catalyst All structures in these folders have been optimized at B3LYP/6-31g** level with SMD(1,4-dioxane) solvent model. Each of the lower level folders contain the output of a frequency calculation at B3LYP/6-31g** level with SMD(1,4-dioxane) solvent model (*_freq.out files), as well as single point calculation at M06-2X/def2-TZVP/SMD(1,4-dioxane) level (*_sp.out files). All optimized geometries are also provided as *.sdf files for even better usability. All of the files can be opened in any text editor. Gaussian output structures can be viewed and the frequency modes visualised in GausView, Avogadro, jmol and in most other molecular viewers/editors. *.sdf files can be viewed in essentially all 3D molecular editors and viewers.
DOI: 10.17639/nott.7157
title: Vitiligo Noticeability Scale-validation studies

description: Aim To fill validation gaps for the Vitiligo Noticeability Scale (VNS) so it can be considered for adoption into the vitiligo Core Outcome Set. Objectives: 1) Test the reliability and interpretability of the VNS using digital images collected in the HI-Light Vitiligo trial 2) Explore how post-treatment hyperpigmentation around vitiligo patches influences the assessment of treatment success, and the value of delaying assessment of the VNS until hyperpigmentation has resolved. 3) Develop a ‘static’ version of the VNS and explore whether ‘static’ or ‘change from baseline’ response options are most meaningful to patients, valid and responsive Background to data collection We used the VNS as the primary outcome measure in a large NIHR-funded clinical trial (HI-Light). Blinded patient assessors viewed images from the HI-Light trial. Reliability was assessed using test-retest analyses, and interpretability by comparing with global treatment success. The static VNS was developed using focus groups with vitiligo patients, using framework analysis of the data. The new scale was validated using the same methods and analyses as for the original VNS scale.
DOI: 10.17639/nott.7113
title: Metabolomic and Transcriptomic data - in vitro ependymoma +/- serum starvation

description: The integration of untargeted metabolomics and transcriptomics from the same population of cells or tissue enhances the confidence in the identified metabolic pathways and understanding of the enzyme–metabolite relationship. Here, we optimised a simultaneous extraction method of me-tabolites/lipids and RNA from ependymoma cells (BXD-1425). Two existing single extraction and four dual extraction protocols were critically assessed based on their practical reproducibility, the suitability of the metabolite extraction protocol to human cancer cells and their RNA recovery. The effectiveness of the optimised method was verified by testing the sensitivity to a) discriminate both subtle and profound altera-tions in transcription and metabolism in an acute serum starvation period in a human ependymoma cell line;
DOI: 10.17639/nott.7147
title: High Schizotypy Predicts Emotion Recognition Independently of Negative Affect

description: This data contains information on schizotypy, negative affect, and emotion recognition. Schizotypy is assessed using the O-LIFE and the columns Unex, Intan, and Cogdis refer to positive, negative, and disorganised schizotypy respectively. We did not assess the impulsive non-conformity scale. Negative affect was assessed using the DASS-21. Emotion recognition was assessed using the GERT-S and both individual and overall accuracy scores are given. Our aim was to assess whether schizotypy predicted emotion recognition performance. If so, we next assessed whether negative affect mediated this relationship.
DOI: 10.17639/nott.7153
title: A New Particle Mounting Method for Surface Analysis

description: Dataset contains raw and processed data used for the creation of figures in the publication entitled 'A New Particle Mounting Method for Surface Analysis'
DOI: 10.17639/nott.7155
title: Is the Number of COVID-19 Deaths More Underreported in Autocracies than in Democracies?

description: Dataset for the research project entitled "Is the Number of COVID-19 Deaths More Underreported in Autocracies than in Democracies? Theoretical and Empirical Evidence"
DOI: 10.17639/nott.7106
title: Lameness in Irish pasture-based dairy cows: large scale study 2019/2020 (supplementary material)

description: Farmer questionnaire and categorical scales for infrastructure measurements, used as part of data collection for a large scale study (99 farms) to identify risk factors for lameness in Irish pasture-based dairy cows. Also included is a table of predictors provided to the models in the lameness risk factor analysis.
DOI: 10.17639/nott.7130
title: Cordycepin and the Insect Pathogen Cordyceps militaris

description: Data from PhD project of Peter Wellham, supervised by Dr. Cornelia de Moor. Data featured in published paper (Wellham et al. 2021: Culture Degeneration Reduces Sex-Related Gene Expression, Alters Metabolite Production and Reduces Insect Pathogenic Response in Cordyceps militaris. Microorganisms 9, 1559. https://doi.org/10.3390/microorganisms9081559)
DOI: 10.17639/nott.7126
title: A quality improvement collaborative focussed on safety in care homes in the East Midlands: lessons learned and possible models for scale-up
title: EMRAN: Safety in care homes: LPZ

description: Care homes provide care for around 420,000 older people with disability and physical dependency in England. National initiatives are underway to improve healthcare delivery to the sector but do not address safety issues associated with adverse care events in care homes. These events include pressure ulceration, falls, dehydration, malnutrition and inadequate pain management. The Landelijke Prevalentiemeting Zorgkwaliteit (LPZ) is an international benchmarking initiative that uses robust data collection approaches in care homes to identify targets for improvement across multiple European countries. In the East Midlands we used this as the basis of a Quality Improvement Collaborative which met three times a year, and used benchmarking data, alongside training in Quality Improvement (QI) and care competencies, to enable care homes to lead and develop their own improvement plans. We found evidence of improvements in pressure care, falls, nutrition, hydration and pain management. In addition, we developed a group of QI-enabled care homes, who began to take increased ownership of the collaborative. This provided the basis for development of educational interventions for care homes and also acted as a foundation to introduce new improvement initiatives to the sector in a way which aligned with existing priorities for care home organisations and staff. Costs of such an approach are provided towards the end of this paper – the costs of running LPZ at a national level would be between £3.3m and £5.6m depending on the model avoided. There is evidence that LPZ is associated with a fall in incidence of pressure ulcers amongst homes which are recurrent participants, such that related savings to the NHS would be in the region of £207.56 per resident, equating to £87.2M across the 420,000 care home residents in England with respect to this condition alone. When other potential benefits are taken account including improvements in other conditions, improved staff training and wellbeing with reduced staff turnover, the return on investment is likely to be considerable. The COVID-19 pandemic has exposed the need for more collaborative working between the NHS and care home providers. There is an increasingly recognised moral imperative to do more for people with frailty and disability living in care homes. The learning from the LPZ initiative in the East Midlands provides a basis for collaborative working around quality improvement, focussing on avoidable harms, to build resilience in the care home sector that could be scaled up nationally.
DOI: 10.17639/nott.7318
title: DigiScore TENOR commission: Xavier Davenport
title: GuitaRPG

description: GuitaRPG is a digital score created by musician Xavier Davenport using the Neoscore platform. It combines music with game-like elements, such as role-playing and skill acquisition. The performer navigates through different regions in the digital score, each with its own unique influences and colour palette. In each region, the performer must incorporate specific elements and guitar techniques to progress through the piece. The more regions the performer explores, the more complex the guitar techniques become. The player has control over the duration of their stay in each region, allowing for both macro and micro involvement. Macro involvement involves navigating the map to find specific materials, while micro involvement entails engaging with regions through playing techniques as they randomly appear. The visual materials change in density and colour, controlled by a weighted algorithm, creating a sense of exploration and improvisation for the performer. The project was realised using the Neoscore platform, with support from Andrew Yoon and Craig Vear, and was commissioned through the Digital Score project.
DOI: 10.25318/3310091101-fra
title: L’entreprise ou l’organisme prévoit déposer une demande de financement par emprunt, quatrième trimestre de 2024

description: L’entreprise ou l’organisme prévoit déposer une demande de financement par emprunt, selon le Système de classification des industries de l’Amérique du Nord (SCIAN), l’effectif de l’entreprise, le type d’entreprise, l’activité de l'entreprise et le propriétaire majoritaire, quatrième trimestre de 2024.
DOI: 10.17639/nott.7315
title: Readability, expressiveness and social favourability judgments for targets with varying levels of autistic traits

description: This study examined the impact of autistic traits of targets on various aspects of perceivers perceptions. One group of perceivers made judgments that involved reading the targets' behaviour (readability); one group made judgments of the targets' expressiveness; and one group made judgments about targets' perceived levels of socially favourable traits as well as whether or not they liked the targets.
DOI: 10.17639/nott.7319
title: DigiScore TENOR commission: Lauren McCall
title: Kaleidoscore

description: Kaleidoscore is a digital score created through a Neoscore platform by composer Lauren McCall. The digital score incorporates digital images, shapes and key codes sending OSC messages in Neoscore to trigger 4 backing track samples in the Max MSP patch. A sense of duality is built through the imagery of the digital score such as changing colours, triangles and squares and the relationship between the two performers. When the shapes change colour it could represent a change between different dissonant material with each player. The digital score is fairly open with just a few instructions such as to play consonant sounds on flower imagery or when the notes appear without stems. The project was realised with the novel digital score platform Neoscore and was supported by Andrew Yoon and Craig Vear and commissioned through the Digital Score project.
DOI: 10.17639/nott.7424
title: ChatGPT Twitter Data - NLP Analysis

description: Topic modelling, sentiment analysis and emotion detection results from NLP analysis of tweets relating to ChatGPT.
DOI: 10.17639/nott.7425
title: Code for Decision-Making Algorithm Twitter Data NLP Analysis

description: Code for tweet extraction, topic modelling, sentiment analysis and emotion detection.
DOI: 10.17639/nott.6515
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 1071R1

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: 1071R1 (III) Source: NIG Name: dE2f2 (2) Full name: E2F transcription factor 2 Also known as: dE2F2, E2f, E2f2 Annotation symbol: CG1071 FlyBase ID: FBgn0024371 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.6514
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 45743

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: 45743 (X) Source: VDRC Name: dE2f2 (1) Full name: E2F transcription factor 2 Also known as: dE2F2, E2f, E2f2 Annotation symbol: CG1071 FlyBase ID: FBgn0024371 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.6516
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 5370R-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: 5370R-2 (III) Source: NIG Name: Death caspase 1 (2) Full name: Death caspase-1 Also known as: Dcp1, Dcp-1 Annotation symbol: CG5370 FlyBase ID: FBgn0010501 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.6509
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 13404

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: 13404 (III) Source: VDRC Name: cype (1) Full name: cyclope Also known as: l(2)03771, Cyc Annotation symbol: CG14028 FlyBase ID: FBgn0015031 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.6553
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 3747R-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: 3747R-2 (III) Source: NIG Name: Eaat1 Full name: Excitatory amino acid transporter 1 Also known as: dEAAT1, Dglt-1 Annotation symbol: CG3747 FlyBase ID: FBgn0026439 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.6546
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 40025

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: 40025 (III) Source: VDRC Name: Dsor1 (1) Full name: Downstream of raf1 Also known as: MEK, Dsor, MAPKK, D-mek, DRODSOR1 Annotation symbol: CG15793 FlyBase ID: FBgn0010269 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.7216
title: Catalogue of radial velocity predictions for Gaia DR3

description: This catalogue accompanies our article (Naik & Widmark, 2022), in which we demonstrate the use of Bayesian neural networks for predicting the missing radial (line-of-sight) velocities of stars observed by the Gaia satellite. The catalogue contains predictions for all Gaia stars in the magnitude range 6