cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.6293
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 1480R-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: 1480R-3 (III) Source: NIG Name: bnk Full name: bottleneck Also known as: Annotation symbol: CG1480 FlyBase ID: FBgn0004389 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.7002
title: Data Files for 'Microwave spectroscopy of radio frequency dressed $^{87}Rb$'

description: Data files as excel sheets for the journal article 'Microwave spectroscopy of radio frequency dressed $^{87}Rb$' (arXiv:1904.12073). The data is collected to explore the microwave spectroscopy of the rf dressed hyperfine manifolds of Rb atoms and compare to the theory also discussed in the above paper.
DOI: 10.17639/nott.7016
title: Trends of significant wave height in the Mediterranean Sea

description: The dataset includes information on the trends of significant wave heights (Hs) over the whole Mediterranean Sea. The research analysed 30 years of Hs numerical hindcast carried out by the University of Genoa to identify the trends of annual maxima Hs, 98th percentile Hs and annual mean of Hs. The research method involves the use of an estimator of the linear slope of the trend (b) and an index obtained by the Mann-Kendall test (pMK). However, unlike what usually is done in the traditional use of this test, no value of pMK is rejected based on an arbitrary threshold. The research showed that there is a strong anti correlation between b and pMK, i.e. not only low values of pMK are correlated with high b, but also higher values of pMK are well correlated with low b (weaker trends). This results give confidence in using both parameters together. The results in the datasets are: latitude and longitude of the computation point, the associated trend slope value (b), and value of pMK.
DOI: 10.17639/nott.12
title: Discovery of a novel polymer for human pluripotent stem cell expansion and multilineage differentiation - Supporting data 1

description: A scalable and cost-effective synthetic polymer substrate that supports robust expansion and subsequent multilineage differentiation of human pluripotent stem cells (hPSCs) with defined commercial media is presented. This substrate can be applied to common cultureware and used off-the-shelf after long-term storage. Expansion and differentiation of hPSCs are performed entirely on the polymeric surface, enabling the clinical potential of hPSC-derived cells to be realized. Data presented herein includes time-of-flight secondary-ion mass spectrometry (ToF-SIMS), X-ray photoelectron spectroscopy (XPS), water contact angle (WCA) measurements, fluorescence microscopy, cell electrophysiology, nuclear magnetic resonance (NMR) spectroscopy, gel permeation chromatography (GPC). Please note that this data set is in two parts, the second part of which can be found here: http://doi.org/10.17639/nott.16
DOI: 10.17639/nott.336
title: Giant moiré patterns and lattice-matched epitaxial graphene grown

description: Lattice-matched graphene on hexagonal boron nitride is expected to lead to the formation of a band-gap but requires the formation of highly strained material and has not hitherto been realised. We demonstrate that aligned, lattice-matched graphene can be grown by molecular beam epitaxy using substrate temperatures in the range 1600-1710 °C and coexists with a topologically-modified moiré pattern, and with regions of strained graphene which have giant moiré periods up to ~80 nm. Raman spectra reveal narrow red-shifted peaks due to uniform isotropic strain, while the giant moiré patterns result in complex splitting of Raman peaks due to strain variations across the moiré unit cell. The latticematched graphene has a lower conductance than both the Frenkel-Kontorova-type dislocation lines, and also the topological defects where they terminate. We relate these results to theoretical models of band-gap formation in graphene/boron nitride heterostructures.
DOI: 10.17639/nott.345
title: Production of guinea pig vocalizations by electrical brain stimulation under anaesthesia

description: Four parts of the guinea pig brain were stimulated with tungsten electrodes under urethane anaesthesia to record sequences of vocalizations. These vocalizations were then compared with a series of templates of spontaneously produced vocalizations so that they could be identified as similar to the appropriate natural call. Each electrode position was stimulated a number of times at the same or different current levels and the identity and time of produced calls was recorded.
DOI: 10.17639/nott.49
title: Raw data and analysis for paper "Identification of polymer surface adsorbed proteins implicated in pluripotent human embryonic stem cell expansion"

description: The two aims 1) identification of protein uniquely adsorbed to plasma etched tissue culture polystyrene using proteomics; 2) quantify and analyse pluripotent cell adherence to a range of arrayed micro environments on N-(4-hydroxyphenyl)methacryalamide. Purpose to identify novel protein pretreatments using high throughput screening. Previous publications have shown human pluripotent adherence to the plasma etched tissue culture polystyrene and N-(4-hydroxyphenyl)methacryalamide.
DOI: 10.17639/nott.69
title: The direct-to-indirect band gap crossover in two-dimensional van der Waals indium selenide crystals

description: The electronic band structure of van der Waals (vdW) layered crystals has properties that depend on the composition, thickness and stacking of the component layers. Here we use density functional theory and high field magneto-optics to investigate the metal chalcogenide InSe, a recent addition to the family of vdW layered crystals, which transforms from a direct to an indirect band gap semiconductor as the number of layers is reduced. We investigate this direct-to-indirect bandgap crossover, demonstrate a highly tuneable optical response from the near infrared to the visible spectrum with decreasing layer thickness down to 2 layers, and report quantum dot-like optical emissions distributed over a wide range of energy. Our analysis also indicates that electron and exciton effective masses are weakly dependent on the layer thickness and are significantly smaller than in other vdW crystals. These properties are unprecedented within the large family of vdW crystals and demonstrates the potential of InSe for electronic and photonic technologies.
DOI: 10.17639/nott.53
title: Surface-directed modulation of supramolecular gel properties

description: Supramolecular materials are widely studied and used for a variety of applications; in most applications, these materials are in contact with surfaces of other materials. Whilst much focus has been placed on elucidating factors that affect supramolecular material properties, the influence of the material surface on gel formation is poorly characterised. Here, we demonstrate that surface properties directly affect the fibre architecture and mechanical properties of self-assembled cytidine based gel films.
DOI: 10.17639/nott.339
title: Blythe House-3D Prototype

description: The 3D prototype is a production of collections stored in two carefully selected rooms in Blythe House: the Dentistry and Communications collections
DOI: 10.17639/nott.6263
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 1451R-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: 1451R-1 (III) Source: NIG Name: APC (2) Full name: APC-like Also known as: APC1, D-APC, dAPC, dAPC1 Annotation symbol: CG1451 FlyBase ID: FBgn0015589 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.6255
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 4006R-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: 4006R-3 (III) Source: NIG Name: Akt1 (2) Full name: Akt1 Also known as: Akt, dAkt, PKB, Dakt1, dPKB Annotation symbol: CG4006 FlyBase ID: FBgn0010379 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.6258
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 31209

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: 31209 (III) Source: Bloomington Name: alpha-spec Full name: α Spectrin Also known as: α-spec, αSpec, l(3)dre3, α-spectrin, Spec Annotation symbol: CG1977 FlyBase ID: FBgn0250789 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.6257
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 20123

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: 20123 (III) Source: VDRC Name: alpha-catenin Full name: α Catenin Also known as: α-cat, αCat, Dα-cat, α-catenin, a-Cat Annotation symbol: CG17947 FlyBase ID: FBgn0010215 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.6262
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 51469

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: 51469 (III) Source: VDRC Name: APC (1) Full name: APC-like Also known as: APC1, D-APC, dAPC, dAPC1 Annotation symbol: CG1451 FlyBase ID: FBgn0015589 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.6259
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 25945

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: 25945 (III) Source: VDRC Name: Ank Full name: Ankyrin Also known as: Annotation symbol: CG1651 FlyBase ID: FBgn0011747 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.6261
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 5115

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: 5115 (III) Source: VDRC Name: Ank2 (2) Full name: Ankyrin 2 Also known as: SP2523, Dank2, ESTS:149B10S Annotation symbol: CG42734 FlyBase ID: FBgn0261788 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.6884
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 31467

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: 31467 (III) Source: Bloomington Name: sli (2) Full name: slit Also known as: slit, l(2)05248, CT21700, CT37068, dSlit Annotation symbol: CG43758 FlyBase ID: FBgn0264089 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.6920
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 26100

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: 26100 (III) Source: VDRC Name: Tg (2) Full name: Transglutaminase Also known as: dTG Annotation symbol: CG7356 FlyBase ID: FBgn0031975 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)