cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.6452
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 52489

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: 52489 (X) Source: VDRC Name: CG5984 Full name: Also known as: Annotation symbol: CG5984 FlyBase ID: FBgn0039500 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.7146
title: BRIGhTMIND baseline imaging statistical plan: theme 1 - treatment resistant depression

description: Statistical analysis plan for theme 1 of the proposed baseline analyses for the BRIGhTMIND study
DOI: 10.17639/nott.7168
title: Molecular formula prediction for chemical filtering of 3D OrbiSIMS Datasets

description: 3D OrbiSIMS raw data required to reproduce figures in the manuscript linked to this repository. File formats are itm., enabling access to both spectral and depth profiling data for each series.
DOI: 10.17639/nott.7172
title: Functional characterization of DEEPGENES to enhance deeper rooting in cereal crops

description: Global food security and climate change represent major challenges faced by humankind during this century. Developing deeper rooting, more resource efficient crops represents an attractive solution to increase crop production sustainably whilst also enhancing soil carbon (C) sequestration. For example, planting maize varieties with a root system 0.5m deeper than currently sown in USA is predicted to improve foraging for water and nitrogen resources in sub-soil layers whilst burying up to two thirds of carbon related to US transportation emissions. The aim of this PhD project is to identify and characterise key genes that control anatomical and architectural traits contributing to deeper rooting in cereal crops such as maize and barley (as part of the DEEPER project funded by the ARPA-E ROOTS initiative). A DEEPGENES discovery pipeline was initially developed to pinpoint candidate genes that controlled key traits determining deeper rooting in maize. Root anatomical traits included cortical cell number, cortical cell file number, total cortical area and root cortical aerenchyma plus architectural traits such as crown root angle. Promising DEEPGENE candidates where then shortlisted based on root expression and tissue specificity using maize and cross-species transcriptomic datasets in model plants such as rice and Arabidopsis thaliana. Loss of function mutants in candidate DEEPGENES were designed and/or developed in maize and the cereal model Brachypodium distachyon using CRISPR-Cas9 based approaches, respectively. Phenotypic analysis revealed a candidate regulator for root cortical cell number encoded by the QKY gene. In parallel with maize studies, a forward genetics approach was used to pinpoint root angle or root length mutants in the barley TILLMore population. Two mutants were characterised which disrupted either: 1) HvPIN1A, encoding an auxin-efflux carrier, which controls root growth and vascular patterning in cereal roots; and 2) A novel Tubby1-like gene called HvEGT1 (Enhancing Gravitropism 1) which regulates root gravitropic set point angle in cereals. Barley and wheat mutant lines disrupting EGT1 function exhibited a deeper rooting phenotype, revealing this sequence as a promising DEEPGENE target to create novel cereal varieties.
DOI: 10.17639/nott.7223
title: NHS COVID-19 App trust and attitudes questionnaire data

description: Questionnaire data from a study carried out as part of the Trustworthy Autonomous Systems hub looking at how attitudes towards use of the NHS COVID-19 app and issues of trust and trustworthiness. 1,001 participants, carried out online.
DOI: 10.17639/nott.7232
title: Replication data for the underreported COVID-19 deaths

description: Replication data for the underreported COVID-19 deaths
DOI: 10.17639/nott.7231
title: Visual Impairments Reflective Design Cards

description: The illustrations in the cards are adapted from royalty and attribution free sources on Pixabay, a free image repository.
description: A deck of reflective design cards representing different layers of visually impaired experiences for prompting consideration of visual impairments in systems design. It consists of five card categories: competencies, tools, activities, relations, and locations.
DOI: 10.17639/nott.6505
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 8711R-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: 8711R-1 (III) Source: NIG Name: Cul-4 Full name: Cullin 4 Also known as: Cul4, dCul4 Annotation symbol: CG8711 FlyBase ID: FBgn0033260 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.6541
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 41890

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: 41890 (X) Source: VDRC Name: Dscam2 (2) Full name: Down syndrome cell adhesion molecule 2 Also known as: Annotation symbol: CG42256 FlyBase ID: FBgn0265296 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.6502
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 30713

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: 30713 (III) Source: VDRC Name: CTCF Full name: CTCF Also known as: dCTCF Annotation symbol: CG8591 FlyBase ID: FBgn0035769 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.6489
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 17894R-3

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: 17894R-3 (X) Source: NIG Name: cnc (1) Full name: cap-n-collar Also known as: Nrf2, CncC, l(3)03921 Annotation symbol: CG43286 FlyBase ID: FBgn0262975 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.6490
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 37674

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: 37674 (III) Source: VDRC Name: cnc (2) Full name: cap-n-collar Also known as: Nrf2, CncC, l(3)03921 Annotation symbol: CG43286 FlyBase ID: FBgn0262975 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.6501
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 5687

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: 5687 (III) Source: VDRC Name: ct (2) Full name: cut Also known as: Cut, kf Annotation symbol: CG11387 FlyBase ID: FBgn0004198 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.6503
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 14613

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: 14613 (III) Source: VDRC Name: Cubn (1) Full name: Cubilin Also known as: Annotation symbol: CG32702 FlyBase ID: FBgn0052702 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.6498
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 50566

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: 50566 (X) Source: VDRC Name: CSN8 (2) Full name: COP9 signalosome subunit 8 Also known as: Annotation symbol: CG42522 FlyBase ID: FBgn0261437 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.6493
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 28923

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: 28923 (III) Source: Bloomington Name: Cont (2) Full name: Contactin Also known as: DCONT Annotation symbol: CG1084 FlyBase ID: FBgn0037240 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.6506
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 14847R2

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: 14847R2 (X) Source: NIG Name: cv-c (1) Full name: crossveinless c Also known as: RhoGAP88C, l(3)06951 Annotation symbol: CG34389 FlyBase ID: FBgn0285955 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.6454
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 34156

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: 34156 (III) Source: VDRC Name: CG6272 (1) Full name: Inverted repeat binding protein 18 kDa Also known as: Irbp18 Annotation symbol: CG6272 FlyBase ID: FBgn0036126 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.7124
title: Instance generator and solvers for the Valued Authorization Policy Existence Problem

description: Python code of the instance generator and two mixed-integer-programming solvers (User-Profile and Naive) for the Valued Authorization Policy Existence Problem. Related to the paper "Valued Authorization Policy Existence Problem: Theory and Experiments" by Jason Crampton, Eduard Eiben, Gregory Gutin, Daniel Karapetyan and Diptapriyo Majumdar, 2021.
DOI: 10.17639/nott.7188
title: Microplastic - Bacteria interaction in aquatic environments

description: Study on the impact of bacterial attachment to microplastics in water
DOI: 10.17639/nott.7167
title: Order, disorder, and metalation of tetraphenylporphyrin (2H-TPP) on Au(111)

description: A thermally induced order–disorder transition of tetraphenylporphyrin (2H-TPP) on Au(111) is characterised by scanning probe microscopy and X-ray photoelectron spectroscopy-based techniques. We observed that a transition from an ordered close-packed phase to a disordered diffuse phase is correlated with an on-surface cyclodehydrogenation reaction, and that additional heating of this diffuse phase gives rise to a single distinct nitrogen environment indicative of the formation of a Au–TPP species.