cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.ryq4uc
title: Occurrence Download

description: A dataset containing 21227 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Phaseolus vulgaris L."
 ]
}

 The dataset includes 21227 records from 99 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007284-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7472
title: Validation and exploratory study to disentangle the assocation among modfiable risk factors of dementia, brain health and cognition

description: Study protocol for a validation and exploratory study to disentangle the assocation among modfiable risk factors of dementia, brain health and cognition
DOI: 10.17639/nott.7468
title: Josephson Junction-Cavity quantum simulation codes and data
title: Josephson Junction Laser, Gaussian Entanglement Codes/Data

description: A collection of simulation codes and data pertaining to simulation of a Josephson Junction laser and calculating the Gaussian entanglement between modes in the system's steady state. The code is written in python. Both simulation and plotting/processing codes are included. The code should not be considered a complete tool that will "just work": in order for the modules to load the codes need to be in the right folders relative to one another. Copy-pasting and modifying relevant components or sections of the code into your own projects is the more likely use-case.
DOI: 10.17639/nott.7479
title: Investigating the link between brain maturation imbalance, impulsivity, and suicidal and non-suicidal self-harm behaviour in preadolescent children

description: Study protocol for investigating the link between brain maturation imbalance, impulsivity, and suicidal and non-suicidal self-harm behaviour in preadolescent children using the ABCD data
DOI: 10.17639/nott.7480
title: Predictive Models for the Implementation of Targeted Reproductive Management in Multiparous Cows on Automatic Milking Systems

description: Supplementary material for the reserch paper titled: "Predictive Models for the Implementation of Targeted Reproductive Management in Multiparous Cows on Automatic Milking Systems"
DOI: 10.17639/nott.6838
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 18126

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: 18126 (X) Source: VDRC Name: S6k (2) Full name: Ribosomal protein S6 kinase Also known as: dS6K, p70S6K, fs(3)07084, Dp70s6k, S6K1 Annotation symbol: CG10539 FlyBase ID: FBgn0283472 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.6849
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 5595R-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: 5595R-1 (III) Source: NIG Name: Sce Full name: Sex combs extra Also known as: dRING, dRING1, Ring, RING1 Annotation symbol: CG5595 FlyBase ID: FBgn0003330 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.6850
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 8885R2

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: 8885R2 (III) Source: NIG Name: Scox (1) Full name: Synthesis of cytochrome c oxidase Also known as: Annotation symbol: CG8885 FlyBase ID: FBgn0262467 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.7033
title: Seasonal patterns in habitat use by the harvest mouse (Micromys minutus) and other small mammals.

description: This study sought to understand seasonal changes in population size and habitat use by harvest mice, and other small mammal species, by live trapping in reedbeds in Nottinghamshire, England, and three associated habitats types: woodland, pasture and arable. Trapping sessions lasted one week, with two habitats typically being sampled in each. The traps were left in the pre-bait position on the first day, for three days (one or two days in the pilot), to allow the animals to become familiar with them. At 8am on the fourth day, traps showing signs of use, such as movement of the bedding, feeding or faeces, were cleaned and food and bedding was replaced, and all traps were set to catch. At approximately 3pm all the traps were checked, and the species and sex of captured animals was recorded. Animals were given a unique fur clip using a pair of fine scissors allowing us to distinguish individuals from one another, and then released at the point of capture. Thereafter, traps were checked twice a day, at 8am and 3pm. On the morning of the eight day, traps were checked for the last time and removed.
DOI: 10.17639/nott.7478
title: Mechanisms of aroma compound formation during the drying of Dendrobium nobile stems (Shihu)
title: Mechanisms of aroma compounds formation in Shihu

description: Gas Chromatography-Mass Spectrometry; Aroma compounds; Volatile compounds; Liquid Chromatography; orchids
DOI: 10.17639/nott.6459
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 37671

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: 37671 (III) Source: VDRC Name: CG7229 (2) Full name: testis-specifically expressed bromodomain containing protein-2 Also known as: tbrd-2 Annotation symbol: CG7229 FlyBase ID: FBgn0034423 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.6460
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 27988

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: 27988 (III) Source: VDRC Name: CG7379 (1) 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: 10.17639/nott.7464
title: Experimental Data on Emulsion Stability in Gravity and Simulated Microgravity

description: The data set contains recorded average particle size (z-average), particle size distributions, and dispersity indices (both obtained via dynamic light scattering) of nanoemulsions that were generated by different batch and continuous micro-flow processes, stored at varying lengths at room temperature in gravity, and were exposed to different motion modes from a Random Positioning Machine that simulates microgravity. Outliers have been removed. Data has been generated at the University of Adelaide (Volker Hessel Research Group, School of Chemical Engineering, Andy Thomas Centre for Space Resources, Plants for Space Centre for Excellence) and collaboratively analysed as per the jointly-awarded PhD program with the University of Nottingham.
DOI: 10.17639/nott.7467
title: Hydro potential for the Derbyshire Derwent catchment

description: List of waterpower sites in the Derbyshire Derwent catchment, and wider Derbyshire, with hydro potential and source of hydro potential data.
DOI: 10.17639/nott.7475
title: Investigating Tumour Treating Field Stimulation Using Custom Built Electronics

description: Data set associated with the following manuscript - Investigating Tumour Treating Field Stimulation Using Custom Built Electronics.
DOI: 10.17639/nott.7477
title: BRIGhTMIND baseline analysis: functional connectivity correlates of cognitive impairment in treatment-resistant major depression

description: BRIGhTMIND was a randomised controlled trial comparing two types of transcranial magnetic stimulation (TMS) for treatment-resistant depression: standard repetitive TMS directed to the “F3” site (F3-rTMS) and connectivity-guided intermittent theta-burst stimulation (cgiTBS). In the trial, participants underwent clinical assessment, at which measures including the HDRS-17 observer-rated and PHQ-9 self-rated measures of depression, and the THINC-it battery of cognitive tests were obtained. They then had baseline brain imaging, which included 3-Tesla T1-weighted structural MRI and resting-state functional MRI. Within two weeks, they were randomised and began one of the two types of treatment, which lasted 20 sessions spanning across 4-6 weeks. The current protocol describes use of the baseline data from BRIGhTMIND to test specific hypotheses on the relationships between cognitive difficulties in MDD (measured with THINC-it) and brain activity (measured with resting-state functional magnetic resonance imaging, rsfMRI). It examines cognition and brain connectivity measured at baseline (prior to beginning TMS treatment). The findings of these analyses will guide future hypotheses around relationships between change in cognition and change in brain connectivity. For more information about the BRIGhTMIND trial, see: https://doi.org/10.1038/s44184-024-00077-8 (Briley et al., 2024); https://doi.org/10.1038/s41591-023-02764-z (Morriss et al., 2024)
DOI: 10.17639/nott.7476
title: Field reports in support of Guitar Relicing project

description: Two field reports in support of social inquiry into the curious phenomenon of guitar relicing. Part 1 reports methodology, practicalities, and a summary of findings; part 2 are anonymised interview transcripts.
DOI: 10.17639/nott.7481
title: Cryo-OrbiSIMS peaklists for E. coli 50S precursor ribosomes

description: This database contains the peak lists extracted from cryo-OrbiSIMS mass spectrum of three samples: control 50S precursor ribosomes, those reacted with Erm and SAM and those reacted with Erm and N6-mustard analog of SAM. The data was collected using the cryo-OrbiSIMS facilities at University of Nottingham and processed using the SurfaceLab7 software to extract the peak lists.
DOI: 10.17639/nott.6450
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 31001

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: 31001 (III) Source: VDRC Name: CG5550 (2) Full name: Also known as: Annotation symbol: CG5550 FlyBase ID: FBgn0034160 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.6851
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 7861

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: 7861 (III) Source: VDRC Name: Scox (2) Full name: Synthesis of cytochrome c oxidase Also known as: Annotation symbol: CG8885 FlyBase ID: FBgn0262467 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.6451
title: An in vivo systematic genetic analysis of tumour progression in Drosophila - RNAi line: 9289

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: 9289 (X) Source: VDRC Name: CG5645 Full name: Also known as: Annotation symbol: CG5645 FlyBase ID: FBgn0036254 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.7483
title: Optimized detection modality for radio-frequency sensing with a double resonance alignment magnetometer

description: In this work, we presented a comprehensive and comparative analysis of two detection modalities, i.e., polarization rotation and absorption measurement of light, for a double resonance alignment magnetometer (DRAM). To verify theoretical predictions, experiments are carried out using a room-temperature paraffin-coated Caesium vapour cell and measuring either the polarization rotation or absorption of the transmitted laser light. A detailed experimental analysis of the resonance spectra is performed to validate the theoretical findings for various input parameters. The results signify the use of a single isotropic relaxation rate thus simplifying the data analysis for optimization of the DRAM. The sensitivity measurements are performed and reveal that the polarization rotation detection mode yields larger signals and better sensitivity than absorption measurement of light.
DOI: 10.15468/dl.zpbgxr
title: Occurrence Download

description: A dataset containing 240893 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is one of (Alopecurus geniculatus L.)"
 ]
}

 The dataset includes 240893 records from 937 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0007276-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17639/nott.7484
title: Functional Interleukin-4 releasing microparticles impact THP-1 differentiated macrophage phenotype

description: Macrophage cell therapies offer potential treatment in inflammatory diseases due to their ability to mobilize and stimulate their environment. However, successful treatment requires a pro-regenerative macrophage phenotype to be retained in vivo. Polymeric microparticles may provide a potential route to direct and sustain macrophage phenotype. Interleukin-4 (IL-4) is the most commonly used cytokine for in vitro modulation towards M2a macrophage phenotype. We designed IL-4 encapsulated microparticles to investigate the impact of drug release kinetics and developed a robust THP-1 in vitro assay to assess functional IL-4 release upon macrophage phenotype. Microparticles, fabricated from PLGA and a PLGA-PEG-PLGA triblock copolymer were encapsulated with IL-4 and human serum albumin (HSA) for sustained release. IL-4 release kinetics fit with the first-order release kinetics model, indicating concentration dependent release. IL-4/HSA encapsulated microparticles modulated human peripheral blood monocyte cell (THP-1) differentiated macrophages towards pro immunoregulatory subgroups. This strategy provides a novel approach in drug carrier development for in vitro assessments of macrophage phenotype to inform development of targeted therapies for inflammation and immune modulation.