cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.7361
title: Exploring the utilisation of natural bio-sorbents for effective methylene blue removal

description: This paper presents a comprehensive analysis of adsorbent capacity of five distinctly different bio-sorbents derived from untreated biomasses. The optimal adsorption capacity of seaweed (Laminaria digitata), horse chestnut husk, hazelnut husk, rapeseed residue, and whitewood) to re-move methylene blue (MB) dye was assessed by analysing the effects of particle size, pH, temperature, and initial dye concentrations. Furthermore, the adsorption kinetics, isotherms, and adsorption thermodynamics were investigated. The results showed that relatively high MB ad-sorption capacity was achieved by Laminaria digitata (~180 mg/g), in addition to a reasonable MB adsorption capacity of horse chestnut husk (~130 mg/g), hazelnut husk (~110 mg/g), and rapeseed residue (~80 mg/g). However, whitewood provides a relatively low adsorption capacity of below 20 mg/g. The best fit with experimental results regardless of bio-sorbent type was a Pseudo-second-order kinetic model with lowest the mean absolute percentage error (ε, MAPE &lt; 2.5%) and the highest correlation coefficients (R2 &gt; 0.99). Although the pseudo-second-order kinetic model is often associated with chemisorption, the low enthalpy values (&lt;29.30 kJ/mol) typically suggest that the adsorption process is more characteristic of physisorption, which involves weaker van der Waals forces rather than the stronger covalent bonds of chemisorption. This proposed a multi-step adsorption process involving both physisorption and chemisorption. The adsorption isotherm of Langmuir showed superior fitting results for Laminaria digitata and hazelnut husk. In contrast, rapeseed residue and horse chestnut husk fitted better with the Freundlich adsorption isotherm. The Langmuir adsorption isotherms showed a maximum adsorption capacity of ~500 mg/g for Laminaria digitata, followed by horse chestnut husk (~137 mg/g), hazelnut husk (~120 mg/g), and rapeseed residue (~85 mg/g). The Gibbs free energy was negative for Laminaria digitata &lt; horse chestnut husk &lt; hazelnut husk &lt; 0, which suggests that the removal of MB is thermodynamically favourable, as the adsorption process occurs spontaneously. The results of the study indicate that MB dye removal using untreated biomasses has the potential to be a low-cost valorisation option in the holistic whole life cycle valorisation pathway for Laminaria digitata, horse chestnut husk, and hazelnut husk.
DOI: 10.17639/nott.7359
title: A protocol for muscle phenotyping in frail older patients having hip surgery following fracture
title: FEMUR: Functioning of Elder Muscle; Understanding Recovery

description: Protocol for muscle phenotyping in frail older patients having hip surgery following fracture.
DOI: 10.17639/nott.7358
title: DigiScore_Transdisciplinary_roundtable_7_Oliver_Bown

description: Transdisciplinary Discussion with Dr Oliver Bown. Topic: Can we consider AI/ behavioural agents (objects) as a digital score? This was the 7th conversation in a series of trans-disciplinary discussions with experts from a range of fields to enhance the theoretical understanding of the digital score. The aim of this series is exploratory and openness so that we expose, rather than close, new insights that help us understand meaning-making in digital score creativity. Critical insights from this 1-2-1 are: - thinking of a digital score as an object of exchange, then an interactive/ behavioural AI could be considered a digital score - but there are so many more ways to describe what this AI/ behavioural agent (object) that might serve it better - there is some clarity needed between the terms agent and object: and also what the role of the human is in creating these. - Structures and Trajectories are a good way to start the process of thinking and defining AI/ behavioural agents (objects)
DOI: 10.17639/nott.7348
title: Data for yield, characterisation and performance measurements of magnetic framework composites

description: This research involves the development of a sustainable synthesis procedure for producing magnetic framework composites (MFCs) comprised of citrate coated iron oxide nanoparticles and a zinc based citrate metal-organic framework, commonly known as UTSA-16. These materials have potential application in carbon dioxide capture. Data collected informed conditions relevant to optimisation based on yield, textural properties, and performance of the MFCs. Data include particle images (microscopy), heating profiles, gas sorption data, magnetic properties measurements, thermogravimetric data (thermal decomposition), laboratory notes taken during the research.
DOI: 10.17639/nott.7354
title: Integrating Cryo-OrbiSIMS with Computational Modelling and Metadynamics Simulations Enhances RNA Structure Prediction at Atomic Resolution: Source cryo-OrbiSIMS Data

description: This dataset contains the raw cryo-OrbiSIMS peak lists exported from SurfaceLab 7 for the Cas9:sg, ribosome and 7SK RNP complexes. The data is for negative polarity and has been collected in triplicates. The MATLAB codes used for analysing this data, along with gold reference is also included.
DOI: 10.17639/nott.6832
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 28672

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: 28672 (III) Source: Bloomington Name: rst (2) Full name: roughest Also known as: irreC, irreC-rst, rst-irreC, rst-irrecC Annotation symbol: CG4125 FlyBase ID: FBgn0003285 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: 10.15468/dl.h8b22x
title: Occurrence Download

description: A dataset containing 531 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Etmopterus lucifer Jordan & Snyder, 1902",
 "Geometry POLYGON((170 20, 170 50, 120 50, 120 20, 170 20))",
 "HasCoordinate is true"
 ]
}

 The dataset includes 531 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007296-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7360
title: Supplementary Material for a Systematic Review and Meta-Analysis on the Prevalence of Alternative Non-Malignant, Organic GI Disorders in Patients with IBS-type Symptoms

description: Supplementary Material for a Systematic Review and Meta-Analysis on the Prevalence of Alternative Non-Malignant, Organic GI Disorders in Patients with IBS-type Symptoms
DOI: 10.17639/nott.7350
title: Dataset for Ultra-miniature dual-wavelength spatial frequency domain imaging for micro-endoscopy

description: Dataset for the paper Ultra-miniature dual-wavelength spatial frequency domain imaging for micro-endoscopy. This includes experimental data taken as well as code for processing images to produce results as seen in the paper.
DOI: 10.17639/nott.7352
title: MARCO study in coeliac disease metadata and source data for all the paper figures

description: This database contains all the Excel files with the individual original metadata and source data for all the figures and tables of the paper of the MARCO study in coeliac disease. The data are all anonymised. The Excel files contain all the individual source values for metadata, MRI endpoints of bowel function, symptom questionnaires and gut microbiome data used for the figures in the paper and in the Extended Data figures.
DOI: 10.17639/nott.7356
title: PyAutoLens: Strong lens modeling

description: 2018ascl.soft07003N
description: PyAutoLens models and analyzes galaxy-scale strong gravitational lenses. This automated module suite simultaneously models the lens galaxy's light and mass while reconstructing the extended source galaxy on an adaptive pixel-grid. Source-plane discretization is amorphous, adapting its clustering and regularization to the intrinsic properties of the lensed source. The lens's light is fitted using a superposition of Sersic functions, allowing PyAutoLens to cleanly deblend its light from the source. Bayesian model comparison is used to automatically chose the complexity of the light and mass models. PyAutoLens provides accurate light, mass, and source profiles inferred for data sets representative of both existing Hubble imaging and future Euclid wide-field observations.
DOI: 10.17639/nott.7379
title: Numerical investigation of the inhibiting effects of tides and waves on delta development

description: Data deposit in support of manuscript entitled "Numerical investigation of the inhibiting effects of tides and waves on delta development" Comprises: Delft3D 4 model files (both input and output). MATLAB scripts used to: generate model input; analyse model output; and produce figures and animations. All figures and animations related to project.
DOI: 10.17639/nott.7403
title: Integrated programming and storytelling conjecture data for 10 English 8-11 year olds
title: Integrated programming and storytelling conjecture

description: 10 English students participated in an after-school intervention that integrated programming and storytelling activities in the computing room. They programmed short multimodal stories through a series of scaffolded activities and then completed an independent project. Data were coded to understand the extent to which structured activities were successful in preparing students for this independent work.
DOI: 10.17639/nott.7411
title: Drawing Sound in Space
title: Performance of five new commissioned digital scores in 3D Space by Decibel New Music

description: Decibel New Music, a Western Australian ensemble, launched a new program that explored music notation in a unique way. They took various forms of notation, from graphic scores to composer drafts, and presented them in a 3D space to both performers and the audience. The program included premieres of new music by Decibel composers, as well as commissions from Kezia Yap, Donna Hewitt, David Brown, Kate Milligan and Brenda Gifford. Composers collaborated with the ensemble and projection designer Sohan Ariel Hayes to design and present their scores using 3D projection technology.
DOI: 10.17639/nott.7404
title: Anonymised Interview E/HF practitioners

description: Understanding the extent of E/HF experts' familiarity with Industry 5.0 concepts and their readiness to implement human-centricity concept in Industry 5.0.
DOI: 10.17639/nott.6793
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 3019

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: 3019 (X) Source: VDRC Name: Puc Full name: puckered Also known as: hrt, l(3)84Eh, vco Annotation symbol: CG7850 FlyBase ID: FBgn0243512 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.6278
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 853

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: 853 (III) Source: VDRC Name: babo (2) Full name: baboon Also known as: Atr-I, l(2)k16912, Atr45A, Bab, AtrI Annotation symbol: CG8224 FlyBase ID: FBgn0011300 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.6611
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 11344R3

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: 11344R3 (III) Source: NIG Name: IA-2 (1) Full name: IA-2 protein tyrosine phosphatase Also known as: ia2 Annotation symbol: CG31795 FlyBase ID: FBgn0031294 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.6781
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 31690

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: 31690 (III) Source: VDRC Name: PpV Full name: Protein phosphatase V Also known as: Annotation symbol: CG12217 FlyBase ID: FBgn0003139 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.6782
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 5485R-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: 5485R-1 (III) Source: NIG Name: Prestin (1) Full name: Prestin Also known as: dPrestin, dpres Annotation symbol: CG5485 FlyBase ID: FBgn0036770 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.6756
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 6131

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: 6131 (III) Source: VDRC Name: para (1) Full name: paralytic Also known as: bss, sbl, olfD, DmNav, DmNav1 Annotation symbol: CG9907 FlyBase ID: FBgn0285944 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.6774
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 4740

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: 4740 (III) Source: VDRC Name: plexA (2) Full name: Plexin A Also known as: lincRNA.927 Annotation symbol: CG11081 FlyBase ID: FBgn0025741 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)