cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13359695
title: Hair cortisol concentration method validation study 2

description: The dataset set shows the hair cortisol concentration from hair samples collected from 53 participants that were analysed using the hair cortisol analysis method developed by the ARU Biomarker Laboratory.<br>The hair sample from each participant had hair cortisol extracted into methanol and then the methanol was split between tubes for analysis via ELISAs within our laboratory (ARU Biomarker Laboratory: https://arubiomarkerlab.co.uk/) and the other tube sent for external analysis via LC-MS/MS.<br>The SPSS file contains the hair cortisol concentrations from both LC-MS/MS and ELISA (corrected for hair weight) and the original uncorrected ELISA concentrations, which ELISA plate the samples were processed on and the order in which the aliquots of methanol went into the tubes (1= ELISA tube first and 2= LCMS/MS tube first).<br>Age, BMI, height and weight, medication and hair colour and hair washing variables have been removed as they may allow identification of participants. Please contact the researchers if this data may be of relevance.<br>The ELISA dataset provides detailed output from the ELISA analysis for each sample. Includes: cortisol replicate data and optical density data from the primary read (450nm) and the secondary read (620nm).<br><br>The research was conducted in accordance with ethical approval from the Faculty of Science and Technology Research Ethics Panel (FREP) at Anglia Ruskin University.<br>The research is currently being submitted for publication and this dataset forms study 2.
DOI: 10.6084/m9.figshare.13359695.v2
title: Hair cortisol concentration method validation study 2

description: The dataset set shows the hair cortisol concentration from hair samples collected from 53 participants that were analysed using the hair cortisol analysis method developed by the ARU Biomarker Laboratory.<br>The hair sample from each participant had hair cortisol extracted into methanol and then the methanol was split between tubes for analysis via ELISAs within our laboratory (ARU Biomarker Laboratory: https://arubiomarkerlab.co.uk/) and the other tube sent for external analysis via LC-MS/MS.<br>The SPSS file contains the hair cortisol concentrations from both LC-MS/MS and ELISA (corrected for hair weight) and the original uncorrected ELISA concentrations, which ELISA plate the samples were processed on and the order in which the aliquots of methanol went into the tubes (1= ELISA tube first and 2= LCMS/MS tube first).<br>Age, BMI, height and weight, medication and hair colour and hair washing variables have been removed as they may allow identification of participants. Please contact the researchers if this data may be of relevance.<br>The research was conducted in accordance with ethical approval from the Faculty of Science and Technology Research Ethics Panel (FREP) at Anglia Ruskin University.<br>The research is currently being submitted for publication and this dataset forms study 2.
DOI: 10.6084/m9.figshare.13352822
title: Hair cortisol concentration method validation study 1

description: In this study hair samples were collected from 32 participants whilst they were having their hair cut. The hair samples from each participant were aliquoted into 25mg lots of the hair and analysis conducted to test how reproducible the hair cortisol method is and to explore how the time taken to incubate the samples may influence the hair cortisol concentration.<br><br>The hair cortisol analysis methods were developed and the ARU Biomarker Laboratory (https://arubiomarkerlab.co.uk/)<br><br>The research was conducted in accordance with ethical approval from the Faculty of Science and Technology Research Ethics Panel (FREP) at Anglia Ruskin University.<br><br>The data is provided in CSV and SPSS/ SAV format<br>The ELISA dataset provides detailed output from the ELISA analysis for each sample. Includes: cortisol replicate data and optical density data from the primary read (450nm) and the secondary read (620nm). A linking code is provided that links together samples from the same participant. This is an anonymized code that does not link to participants original ID number.<br>This data is being submitted for publication. (This dataset forms study 1)
DOI: 10.6084/m9.figshare.13352822.v2
title: Hair cortisol concentration method validation study 1

description: In this study hair samples were collected from 32 participants whilst they were having their hair cut. The hair samples from each participant were aliquoted into 25mg lots of the hair and analysis conducted to test how reproducible the hair cortisol method is and to explore how the time taken to incubate the samples may influence the hair cortisol concentration.<br><br>The hair cortisol analysis methods were developed and the ARU Biomarker Laboratory (https://arubiomarkerlab.co.uk/)<br><br>The research was conducted in accordance with ethical approval from the Faculty of Science and Technology Research Ethics Panel (FREP) at Anglia Ruskin University.<br><br>The data is provided in CSV and SPSS/ SAV format<br>This data is being submitted for publication. (This dataset forms study 1)
DOI: 10.6084/m9.figshare.11494515
title: Dataset: Event-Related Potential Correlates of Valence, Arousal, and Subjective Significance in Processing of an Emotional Stroop Task

description: The present study is the first to measure event-related potentials associated with the processing of the emotional Stroop task (EST) with the use of an orthogonal factorialmanipulation for emotional valence, arousal, and subjective significance (the importance of the current experience for goals and plans for the future). The current study aimedto investigate concurrently the role of the three dimensions describing the emotionladen words for interference control measured in the classical version of the EST paradigm. The results showed that reaction times were affected by the emotional valence of presented words and the interactive effect of valence and arousal. The expected emotional arousal effect was only found in behavioral results for neutrally valenced words. Electrophysiological results showed valence and subjective significance correlated with the amplitude differences in the P2 component. Moreover, the amplitude of the N450 component varied with the level of subjective significance. This study also demonstrated that exploratory event-related potential analysis provides additional information beyond the classical component-based analysis. The obtained results show that cognitive control effects in the EST may be altered by manipulation in the subjective significance dimension.
DOI: 10.6084/m9.figshare.11494515.v1
title: Dataset: Event-Related Potential Correlates of Valence, Arousal, and Subjective Significance in Processing of an Emotional Stroop Task

description: The present study is the first to measure event-related potentials associated with the processing of the emotional Stroop task (EST) with the use of an orthogonal factorialmanipulation for emotional valence, arousal, and subjective significance (the importance of the current experience for goals and plans for the future). The current study aimedto investigate concurrently the role of the three dimensions describing the emotionladen words for interference control measured in the classical version of the EST paradigm. The results showed that reaction times were affected by the emotional valence of presented words and the interactive effect of valence and arousal. The expected emotional arousal effect was only found in behavioral results for neutrally valenced words. Electrophysiological results showed valence and subjective significance correlated with the amplitude differences in the P2 component. Moreover, the amplitude of the N450 component varied with the level of subjective significance. This study also demonstrated that exploratory event-related potential analysis provides additional information beyond the classical component-based analysis. The obtained results show that cognitive control effects in the EST may be altered by manipulation in the subjective significance dimension.
DOI: 10.20351/29he20090124
title: ATOS-2 Cruise, RV Hespérides

description: ATOS-2 Cruise (29HE20090124) carried out on the Research Vessel Hespérides in 2009
DOI: 10.48326/idoc.psup.marssi
title: Portal MarsSI
DOI: 10.5281/zenodo.4541500
title: 21cmGEM Training and Testing Data Sets

description: Model Global 21-cm signals from large scale cosmological simulations used to test and train the signal emulator 21cmGEM which is detailed in https://doi.org/10.1093/mnras/staa1530. See the README for specifics about the files.
description: Uploaded by Harry Bevins with permission from Anastasia Fialkov.
DOI: 10.5281/zenodo.4541499
title: 21cmGEM Training and Testing Data Sets

description: Model Global 21-cm signals from large scale cosmological simulations used to test and train the signal emulator 21cmGEM which is detailed in https://doi.org/10.1093/mnras/staa1530. See the README for specifics about the files.
description: Uploaded by Harry Bevins with permission from Anastasia Fialkov.
DOI: 10.5284/1083539
title: Bramley Union Workhouse (St Mary's Hospital), Armley, Leeds. Building Recording (OASIS ID: eddennis1-409166)

description: Archaeological and architectural photographic survey prior to demolition.
DOI: 10.5284/1083540
title: Land at Streetfield Farm, Lutterworth, Warwickshire. Excavation (OASIS ID: oxfordar1-410025)

description: In September 2019, Oxford Archaeology was commissioned by Orion Heritage, on behalf of Lightsource Renewable Developments Ltd, to undertake an archaeological evaluation on the site of a proposed solar installation (centred on SP 50789 82666). A total of 147 trenches were excavated across the site, targeted on 2 areas identified from the geophysical survey and otherwise arranged on a standard grid array, representing a 4% sample of the proposed development area. The evaluation confirmed the presence of archaeological remains in the areas identified on the geophysical survey and showed that there are three main areas of archaeological activity across the proposed development area. Remains of Late Iron Age to Roman activity were found in two fields in the form of ditches and pits representing field or enclosure boundaries. Elsewhere on the development a ditch related to a historic field boundary and remnants of ridge and furrow were seen across the site. The archaeology is consistent with the results produced by the geophysical survey and historical mapping and indicates the preservation of a late Iron Age and Roman settlement landscape dating to the 1st and 2nd centuries AD. A gas pipeline traversing the site and agricultural ploughing are likely to have truncated some archaeology.
DOI: 10.5284/1083541
title: Middle Bronze Age and Roman field systems: Excavations at Monks Farm (Phase 2), Grove, Oxfordshire (OASIS ID: oxfordar1-411020)

description: A second phase of excavation at Monks Farm, Grove, has revealed continuations of the middle Bronze Age field system partially exposed in the earlier excavation, and parts of a Roman field system. The middle Bronze Age features include a continuation of the trackway revealed in Phase 1 and a related series of rectilinear field boundaries. A penannular gully appears to have been a focus of middle Bronze Age occupation. The Roman field system contains an unusual field containing a series of closely set parallel gullies. Whilst this arrangement can be compared to 'lazybeds' perhaps used elsewhere for irrigation related to horticulture, it is suggested that here they may have been used for drainage. The prehistoric and Roman features were overlain by the truncated remains of ridge and furrow and more recent land drains
DOI: 10.5284/1083542
title: Otley Mills, Ilkley Road, Otley, West Yorkshire. Building Recording (OASIS ID: eddennis1-411415)

description: Archaeological and architectural recording prior to and during demolition of part of textile mill complex.
DOI: 10.6084/m9.figshare.14035442
title: Supplementary Material for: BUB1B Overexpression Is an Independent Prognostic Marker and Associated with CD44, p53, and PD-L1 in Renal Cell Carcinoma

description: <b><i>Introduction:</i></b> BUB1 mitotic checkpoint serine/threonine kinase B encoded by <i>BUB1B</i> gene is a member of the spindle assembly checkpoint family. Several reports have demonstrated that overexpression of BUB1B is associated with cancer progression and prognosis. <b><i>Objective:</i></b> This study aims to clarify the expression and function of BUB1B in renal cell carcinoma (RCC). <b><i>Methods:</i></b> The expression of BUB1B was determined using immunohistochemistry and bioinformatics analysis in RCC. The effects of BUB1B knockdown on cell growth and invasion were evaluated. We analyzed the interaction between BUB1B, cancer stem cell markers, p53, and PD-L1 in RCC. <b><i>Results:</i></b> In 121 cases of RCC, immunohistochemistry showed that 30 (25%) of the RCC cases were positive for BUB1B. High BUB1B expression was significantly correlated with high nuclear grade, T stage, and M stage. A Kaplan-Meier analysis showed that the high expression of BUB1B was associated with poor overall survival after nephrectomy. High BUB1B expression was associated with CD44, p53, and PD-L1 in RCC. Knockdown of BUB1B suppressed cell growth and invasion in RCC cell lines. Knockdown of BUB1B also suppressed the expression of CD44 and increased the expression of phospho-p53 (Ser15). In silico analysis showed that BUB1B was associated with inflamed CD8+, exhausted T-cell signature, IFN-γ signature, and the response to nivolumab. <b><i>Conclusion:</i></b> These results suggest that BUB1B plays an oncogenic role and may be a promising predictive biomarker for survival in RCC.
DOI: 10.5281/zenodo.4541504
title: Risky Matching

description: This package contains code and data to replicate the empirical and quantitative results of the paper "Risky Matching" by Hector Chade and Ilse Lindenlaub.
DOI: 10.25747/4e5q-6e64
title: Data from underwater gamma radiation monitoring
DOI: 10.25500/edata.bham.00000608
title: East Africa PM air quality data 2018-2019
DOI: 10.6084/m9.figshare.13502880
title: PhilosopPaperCode.R from The importance of uncertainty quantification in model reproducibility

description: Code to perform the specific experiments in Section 3 and Section 4.
DOI: 10.6084/m9.figshare.13502883
title: ExampleData.RData from The importance of uncertainty quantification in model reproducibility

description: Data for the climate example in Section 4.
DOI: 10.6084/m9.figshare.13502883.v1
title: ExampleData.RData from The importance of uncertainty quantification in model reproducibility

description: Data for the climate example in Section 4.
DOI: 10.6084/m9.figshare.13502886
title: ModelParam.R from The importance of uncertainty quantification in model reproducibility

description: Many computer models possess high-dimensional input spaces and substantial computational time to produce a single model evaluation. Although such models are often ‘deterministic’, these models suffer from a wide range of uncertainties. We argue that uncertainty quantification is crucial for computer model validation and reproducibility. We present a statistical framework, termed history matching, for performing global parameter search by comparing model output to the observed data. We employ Gaussian process (GP) emulators to produce fast predictions about model behaviour at the arbitrary input parameter settings allowing output uncertainty distributions to be calculated. History matching identifies sets of input parameters that give rise to acceptable matches between observed data and model output given our representation of uncertainties. Modellers could proceed by simulating computer models’ outputs of interest at these identified parameter settings and producing a range of predictions. The variability in model results is crucial for inter-model comparison as well as model development. We illustrate the performance of emulation and history matching on a simple one-dimensional toy model and in application to a climate model.This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico’.
DOI: 10.6084/m9.figshare.13502886.v1
title: ModelParam.R from The importance of uncertainty quantification in model reproducibility

description: Many computer models possess high-dimensional input spaces and substantial computational time to produce a single model evaluation. Although such models are often ‘deterministic’, these models suffer from a wide range of uncertainties. We argue that uncertainty quantification is crucial for computer model validation and reproducibility. We present a statistical framework, termed history matching, for performing global parameter search by comparing model output to the observed data. We employ Gaussian process (GP) emulators to produce fast predictions about model behaviour at the arbitrary input parameter settings allowing output uncertainty distributions to be calculated. History matching identifies sets of input parameters that give rise to acceptable matches between observed data and model output given our representation of uncertainties. Modellers could proceed by simulating computer models’ outputs of interest at these identified parameter settings and producing a range of predictions. The variability in model results is crucial for inter-model comparison as well as model development. We illustrate the performance of emulation and history matching on a simple one-dimensional toy model and in application to a climate model.This article is part of the theme issue ‘Reliability and reproducibility in computational science: implementing verification, validation and uncertainty quantification in silico’.
DOI: 10.6084/m9.figshare.13502880.v2
title: PhilosopPaperCode.R from The importance of uncertainty quantification in model reproducibility

description: Code to perform the specific experiments in Section 3 and Section 4.
DOI: 10.6084/m9.figshare.13502880.v1
title: PhilosopPaperCode.R from The importance of uncertainty quantification in model reproducibility

description: Code to perform the specific experiments in Section 3 and Section 4.
DOI: 10.6084/m9.figshare.14035496
title: “Optimal Dispatch of Wind-hydro-thermal Power Systems Considering Generation Flexibilities and Uncertainties” Case Data.docx

description: “Optimal Dispatch of Wind-hydro-thermal Power Systems Considering Generation Flexibilities and Uncertainties” Case Data
DOI: 10.6084/m9.figshare.13177163.v5
title: Files for Building the Rust Expression Browser

description: This entry consists of a compressed tar archive containing all the file used to build the initial rust expression browser (www.rust-expression.com).<br>Initial code to provision the software for the browser is available at:https://github.com/JIC-CSB/expvip-ansible<br><br>Code to build the browser using the metadata in this entry is available at:https://github.com/SaundersLab/Rust_Expression_Browser<br>
DOI: 10.6084/m9.figshare.13713817
title: mCCL9_microarray results.xlsx

description: Data from microarray analysis of the CT26 cell line with empty vector (cl ctrl;) or CT26 cell line overexpressing mouse CCL9. After mice inoculation with either type of generated cells, the tumors were excised and analysed by microarray (n=3 control tumors and n=3 tumors overexpressing mouse CCL9 chemokine).
DOI: 10.6084/m9.figshare.13713817.v1
title: mCCL9_microarray results.xlsx

description: Data from microarray analysis of the CT26 cell line with empty vector (cl ctrl;) or CT26 cell line overexpressing mouse CCL9. After mice inoculation with either type of generated cells, the tumors were excised and analysed by microarray (n=3 control tumors and n=3 tumors overexpressing mouse CCL9 chemokine).
DOI: 10.5517/ccdc.csd.cc21m22v
title: CCDC 1895156: Experimental Crystal Structure Determination

description: Related Article: Wen-Hao Wu, Ya-Qun Wang, Hong-Li Mi, Qing-Xuan Xue, Feng Shao, Fei Shen, Feng-Lei Yang|2021|CrystEngComm|23|1398|doi:10.1039/D0CE01662D
DOI: 10.5517/ccdc.csd.cc24vmtg
title: CCDC 1991806: Experimental Crystal Structure Determination

description: Related Article: Yun-Shan Xue, Chen Zhang, Jun Qing Lv, Ning-Ning Chen, Jun Wang, Xuan-Rong Chen, Liming Fan|2021|CrystEngComm|23|1497|doi:10.1039/D0CE01812K
DOI: 10.5517/ccdc.csd.cc24vmvh
title: CCDC 1991807: Experimental Crystal Structure Determination

description: Related Article: Yun-Shan Xue, Chen Zhang, Jun Qing Lv, Ning-Ning Chen, Jun Wang, Xuan-Rong Chen, Liming Fan|2021|CrystEngComm|23|1497|doi:10.1039/D0CE01812K
DOI: 10.5517/ccdc.csd.cc24vmwj
title: CCDC 1991808: Experimental Crystal Structure Determination

description: Related Article: Yun-Shan Xue, Chen Zhang, Jun Qing Lv, Ning-Ning Chen, Jun Wang, Xuan-Rong Chen, Liming Fan|2021|CrystEngComm|23|1497|doi:10.1039/D0CE01812K
DOI: 10.5517/ccdc.csd.cc24vmxk
title: CCDC 1991809: Experimental Crystal Structure Determination

description: Related Article: Yun-Shan Xue, Chen Zhang, Jun Qing Lv, Ning-Ning Chen, Jun Wang, Xuan-Rong Chen, Liming Fan|2021|CrystEngComm|23|1497|doi:10.1039/D0CE01812K
DOI: 10.5517/ccdc.csd.cc25k24z
title: CCDC 2012400: Experimental Crystal Structure Determination

description: Related Article: Wen-Juan Wang, Jiao Liu, Yang-Tian Yan, Xiao-Li Yang, Wen-Yan Zhang, Guo-Ping Yang, Yao-Yu Wang|2021|CrystEngComm|23|1447|doi:10.1039/D0CE01784A
DOI: 10.5517/ccdc.csd.cc25k9wy
title: CCDC 2012640: Experimental Crystal Structure Determination

description: Related Article: Wenhao Li, Wenxue Duan, Qingxuan Tang, Zhan-Ting Li, Guanyu Yang|2021|Green Chemistry|23|1136|doi:10.1039/D0GC03861J
DOI: 10.5517/ccdc.csd.cc25k9xz
title: CCDC 2012641: Experimental Crystal Structure Determination

description: Related Article: Wenhao Li, Wenxue Duan, Qingxuan Tang, Zhan-Ting Li, Guanyu Yang|2021|Green Chemistry|23|1136|doi:10.1039/D0GC03861J
DOI: 10.5517/ccdc.csd.cc25k9y0
title: CCDC 2012642: Experimental Crystal Structure Determination

description: Related Article: Wenhao Li, Wenxue Duan, Qingxuan Tang, Zhan-Ting Li, Guanyu Yang|2021|Green Chemistry|23|1136|doi:10.1039/D0GC03861J
DOI: 10.5517/ccdc.csd.cc25k9z1
title: CCDC 2012643: Experimental Crystal Structure Determination

description: Related Article: Wenhao Li, Wenxue Duan, Qingxuan Tang, Zhan-Ting Li, Guanyu Yang|2021|Green Chemistry|23|1136|doi:10.1039/D0GC03861J
DOI: 10.5517/ccdc.csd.cc25kb03
title: CCDC 2012644: Experimental Crystal Structure Determination

description: Related Article: Wenhao Li, Wenxue Duan, Qingxuan Tang, Zhan-Ting Li, Guanyu Yang|2021|Green Chemistry|23|1136|doi:10.1039/D0GC03861J
DOI: 10.20351/29he20090405
title: CARIBE-NORTE Cruise, RV Hespérides

description: CARIBE-NORTE Cruise (29HE20090405) carried out on the Research Vessel Hespérides in 2009
DOI: 10.5517/ccdc.csd.cc25t63b
title: CCDC 2020211: Experimental Crystal Structure Determination

description: Related Article: wenxue Duan|2020|CSD Communication|||
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DOI: 10.5517/ccdc.csd.cc25t64c
title: CCDC 2020212: Experimental Crystal Structure Determination

description: Related Article: wenxue Duan|2020|CSD Communication|||
description: Related Article: Wenhao Li, Wenxue Duan, Qingxuan Tang, Zhan-Ting Li, Guanyu Yang|2021|Green Chemistry|23|1136|doi:10.1039/D0GC03861J
DOI: 10.5517/ccdc.csd.cc24ym80
title: CCDC 1994672: Experimental Crystal Structure Determination

description: Related Article: Rupam Roy, Rohit Bhowal, Vikas Sharma, Deepak Chopra, Apurba Lal Koner|2021|J.Mater.Chem.C|9|1778|doi:10.1039/D0TC04980H
DOI: 10.5517/ccdc.csd.cc25x6nz
title: CCDC 2023111: Experimental Crystal Structure Determination

description: Related Article: Wenhao Li, Wenxue Duan, Qingxuan Tang, Zhan-Ting Li, Guanyu Yang|2021|Green Chemistry|23|1136|doi:10.1039/D0GC03861J