cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17639/nott.7482
title: Zooniverse questionnaire on motivation and basic psychological needs

description: This is the questionnaire data associated with the publication "Exploring the Relationship between Basic Psychological Needs and Motivation in Online Citizen Science" in ACM Transcactions on Social Computing. Understanding engagement with and motivations to contribute to online citizen science projects can improve user experience and aid in attracting and retaining users. This paper proposes that the fundamental grounding of self-determination theory, being the satisfaction of Basic Psychological Needs, is a fruitful lens through which to understand experiences and motivation to take part in online citizen science. Using an online survey, this paper explores how volunteers in online citizen science experience satisfaction and dissatisfaction of needs for autonomy, competence, and relatedness, and how this relates to both their behaviour and motivations to take part. Results suggest that participation in online citizen science on the Zooniverse relates primarily to the satisfaction than dissatisfaction of needs, suggesting that taking part is psychologically beneficial to volunteers. Autonomy is the most supported need and relatedness the least. Whilst results are positive, we observe that measures of need satisfaction must be contextually relevant, especially given the complex nature of autonomy in online citizen science, to aid in further understanding of these relationships. Potential factors related to participation in the Zooniverse that could be enhanced to increase volunteer satisfaction and retention are discussed.
DOI: 10.17639/nott.7485
title: Journey through a Changing World for Open Orchestra
title: Journey for Open Orchestra

description: Journey through a Changing World is an immersive, multi-movement symphonic piece performed by the Open Orchestra, an inclusive ensemble composed of participants from two Special Education Needs (SEN) schools in Middlesbrough. The narrative is central to the music, collaboratively crafted by the musicians themselves, allowing their unique experiences and perspectives to shape the performance. Guided by the dynamic, real-time visuals of Layla Curtis, the narrative of a journey unfolds like a story, with each movement representing a distinct chapter.
DOI: 10.17639/nott.7491
title: Economic Research Centre 4-wave Survey Data from Employers in England (2020-2023): Organizations offering line manager training in mental health and presenteeism - a secondary data analysis of organizational-level data
title: • Mental health at work: a longitudinal exploration of line manager training provisions and impacts on productivity, individual and organizational outcomes. Data from TPI paper 4: Organizations offering line manager training in mental health and presenteeism: A secondary data analysis of organizational-level data

description: There are multiple papers associated with this sub-study: “Mental health at work: a longitudinal exploration of line manager training provisions and impacts on productivity, individual and organizational outcomes”. Each paper is associated with a separate dataset, which includes only the variables used within that specific paper. This metadata record refers only to the dataset associated with the fourth paper entitled: Organizations offering line manager training in mental health and presenteeism: A secondary data analysis of organizational-level data
description: Presenteeism (working while ill) due to mental ill-health is estimated to be one of the largest economic costs to employers. We seek to investigate the relationship between line manager training in mental health (MH) and presenteeism trends at work. The aim of this study was twofold: (i) to examine the relationship between the provision of a new and emerging workplace MH and wellbeing (MH&WB) initiative – line manager (LM) training in MH – and presenteeism as reported by organizations and (ii) to examine the reasons for presenteeism, and organizational-level strategies used to action it. To address these questions, we conducted a secondary data analysis using panel data from 7139 firms in England over four time points (2020–2023).
DOI: 10.17639/nott.7490
title: Economic Research Centre 4-wave Survey Data from Employers in England (2020-2023): Typology of employers offering line manager training for mental health
title: Mental health at work: a longitudinal exploration of line manager training provisions and impacts on productivity, individual and organizational outcomes. Data from TPI paper 1: Typology of employers offering line manager training for mental health

description: There are multiple papers associated with this sub-study: “Mental health at work: a longitudinal exploration of line manager training provisions and impacts on productivity, individual and organizational outcomes”. Each paper is associated with a separate dataset, which includes only the variables used within that specific paper. This metadata record refers only to the dataset associated with the first paper entitled: "Typology of employers offering line manager training for mental health"
description: Mental ill health has a high economic impact on society and employers. National and international policy advocates line manager (LM) training in mental health as a key intervention, but little is known about employer training provisions. We aimed to explore the prevalence and characteristics of organizations that offer LM training in mental health. Secondary analysis was undertaken of existing longitudinal anonymised organizational-level survey data derived from computer-assisted telephone interview surveys collected in four waves (2020:1900 firms, 2021:1551, 2022:1904, 2023:1902) in England, before, during and after a global pandemic.
DOI: 10.17639/nott.6470
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 42126

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: 42126 (III) Source: VDRC Name: CG8197 Full name: Also known as: Annotation symbol: CG8197 FlyBase ID: FBgn0033369 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.6467
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 28613

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: 28613 (III) Source: Bloomington Name: CG7708 Full name: Also known as: Annotation symbol: CG7708 FlyBase ID: FBgn0038641 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.6464
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 7420R-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: 7420R-1 (III) Source: NIG Name: CG7420 (2) Full name: Also known as: Annotation symbol: CG7420 FlyBase ID: FBgn0031344 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.7192
title: Contiguity and overshadowing interactions in the rapid-streaming procedure

description: Previous research has reported that temporal contiguity is a critical factor determining the direction of cue-interactions: strong contiguity leads to competition (e.g., overshadowing), but weak contiguity leads to no-interaction and sometimes leads to facilitation (e.g., potentiation). In these experiments, we adapted the streamed-trial procedure to further explore this interaction in a preparation in which the presentation of trials occurred in rapid streams. In five experiments we assessed whether contiguity and overshadowing effects are reliably observed in this procedure, and whether there was an interaction between them. Participants had to learn the relationship between visual cues and an outcome. Using within-subject designs, participants experienced independent series of streams in which cues and outcomes were trained either with delay or trace conditioning, and these target cues were presented either alone or with another cue. Across experiments, we consistently observed overshadowing (Experiments 1, 2, 5) and contiguity effects (Experiments 2, 3, 4, 5). Despite the consistency of both effects, we did not find that weakening temporal contiguity abolished competition between cues, although the magnitude of overshadowing was weaker with trace conditioning. This suggests that in the streamed-trial procedure contiguity modulates competition to some extent, but perhaps the parameters and conditions used in here were not adequate to produce a shift from competition to facilitation. Overall, these results suggest that the extent to which contiguity determines cue-interactions depends on multiple variables that we address in the General Discussion.
DOI: 10.17639/nott.6466
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 9208

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: 9208 (III) Source: VDRC Name: CG7607 (2) Full name: Also known as: Annotation symbol: CG7607 FlyBase ID: FBgn0036145 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.6462
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 9210

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: 9210 (III) Source: VDRC Name: CG7394 Full name: Also known as: Annotation symbol: CG7394 FlyBase ID: FBgn0036173 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.6463
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 46316

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: 46316 (III) Source: VDRC Name: CG7420 (1) Full name: Also known as: Annotation symbol: CG7420 FlyBase ID: FBgn0031344 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.6465
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 7607R1

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: 7607R1 (III) Source: NIG Name: CG7607 (1) Full name: Also known as: Annotation symbol: CG7607 FlyBase ID: FBgn0036145 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.6461
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 27989

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: 27989 (III) Source: VDRC Name: CG7379 (2) Full name: Also known as: Annotation symbol: CG7379 FlyBase ID: FBgn0038546 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.tgbrsc
title: Occurrence Download

description: A dataset containing 2203 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tamarix parviflora DC."
 ]
}

 The dataset includes 2203 records from 249 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007286-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.370
title: Software implementation of the Test of Attention in Listening

description: Disclaimer: THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED. USE IS ENTIRELY AT THE USER'S OWN RISK. For contributions to the development of the software, we gratefully acknowledge Victor Chilekwa, Sygal Amitay, Johanna Barry, Hannah Stewart, Yuxuan Zhang and Dave Moore. The development of the software was done at the MRC Institute of Hearing Research and supported by intramural funding from the MRC. The TAiL program makes use of the following software packages: Math.NET (https://www.mathdotnet.com/), OxyPlot (http://www.oxyplot.org/), Apache log4net (https://logging.apache.org/log4net/), NAudio (https://github.com/naudio/NAudio), Michael Kennedy's SystemHook library (https://github.com/mikeckennedy/managed_system_hooks), devExpress (https://www.devexpress.com/).
description: The Test of Attention in Listening (TAiL) provides a convenient instrument for measuring two aspects of auditory attention, i.e., involuntary orienting and conflict resolution. To capture these abilities, the listener is required to assess the relationship between two sequentially presented tones, with respect to either their location (same or different ear), or their frequency (same or different frequency). Performance is assessed in terms of reaction times and error rates. This submission presents a standalone Windows implementation of the test which has the following main features: (a) Three subtests (tasks): Attend-Frequency: listener attends to tone frequency ignoring location, Attend-Location: listener attends to tone location ignoring frequency, Baseline processing efficiency: listener responds as quickly as possible after the second tone (ignoring sound characteristics); (b) Child-friendly presentation in the form of an engaging video game; (c) Fixed or variable inter-stimulus interval optionally providing an additional temporal cue; (d) Task configuration through GUI or by configuration file; (e) Task presentation in either demonstration or test mode; (f) Guided interactive calibration of the sound output level; (g) Automated post-processing and computation of key outcome measures; (h) Easy installation without need for additional third-party software (however, use of a high-quality sound card is recommended); (i) Additional version with subject instructions in French.
DOI: 10.17639/nott.7069
title: Fluorescence and electroluminescence of J-aggregated polythiophene monolayers on hexagonal boron nitride

description: The photophysics of a semiconducting polymer is manipulated through molecular self-assembly on an insulating surface. Adsorption of polythiophene (PT) monolayers on hexagonal boron nitride (hBN) leads to a structurally-induced planarization and a re-balancing of inter- and intra-chain excitonic coupling. This conformational control results in a dominant 0-0 photoluminescence peak and a reduced Huang-Rhys factor, characteristic of J-type aggregates, and optical properties which are significantly different to both PT thin films and single polymer strands. Adsorption on hBN also provides a route to explore electroluminescence from PT monolayers though incorporation into hybrid van der Waals heterostructures whereby the polymer monolayer is embedded within a hBN tunnel diode. In these structures we observe up-converted singlet electroluminescence from the PT monolayer, with an excitation mechanism based upon inelastic electron scattering. We argue that surface adsorption provides a methodology for the study of fundamental optoelectronic properties of technologically-relevant polymers.