cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.25377/sussex.7462016.v1
title: Research data for technical report: PhD supervisors and faculty members might help to avoid burnout as well as enhance engagement and organisational citizenship behaviour (OCB) among PhD students.

description: <b>Description:</b><br>The original dataset with responses to survey questions in .dta and .sav formats. A copy of STATA and SPSS for Statistics is required to view these datasets offline. <br>A .inp and .dat file are attached to carry out Structural Equation Modeling (SEM). A copy of Mplus software is required to view and manipulate these datasets offline. <br> The original survey showing the question export tags is available in Word format (PhD_students_survey_uk.docx). <br>An excel file (var_list_phd_survey_uk.xlsx) contains the following information regarding the items used in this study: a) Question export tags (codes in the dataset)b) Construct measuredc) Dimension of the construct measuredd) Source of the item or scale.<br> <b>Abstract:</b> There has been increased interest in the wellbeing and mental health of postgraduate students in light of the recent portrayal of the academic career as overworked and isolated. Research points to PhD students as being particularly at risk, yet the factors that contribute to PhD students’ compromised wellbeing are unclear. In this study (<i>N</i>= 392), we combine the social cure approach in social psychology with advances in organizational psychology to investigate potential predictors of work-related wellbeing and organisational citizenship behaviour (OCB) among PhD students in the UK. In particular, we explore the relationships between social support, willingness to support others, clarity of role, group belonging, engagement, and burnout using structural equation modelling (SEM). Our results point to the importance of support provided by both the supervisor and faculty members in helping to avoid burnout and enhance engagement among students. We also found that students’ identification with supervisors and faculty members together with clarity of role are positively associated with students’ work-related well-being. Moreover, although particular processes differ for early vs. late stage PhD students, our findings suggest that support from faculty members is a key predictor of intentions to perform OCB. Thus, received support is positively related to performing OCB both directly and indirectly via a sense of identification with faculty members. We discuss the implications of our findings in relation to policies aiming at improving the well-being of PhD students.
DOI: 10.25392/leicester.data.7461986.v1
title: Assessing Member States’ capacity for reliable ‘authorisation of PPPs’, and its uniformity - Report for EIA on Regulation (EC) 1107/2009 on the Placing of Plant Protection Products on the Market

description: Data relating to a research project into the EU zonal system of authorising pesticides under the Plant Protection Product Regulation, Regulation (EU) 1107/2009. Data includes: empirical data, largely questionnaires, emails to which questionnaires are attached and other documents produced as part of the methodology, eg stakeholder lists and early drafts of the report which contain confidential information.
DOI: 10.7284/123639
title: Speedlog data collected during research cruise MGL1610 using a Furuno DS-50 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123644
title: TSG (Thermosalinograph) data collected during research cruise MGL1610 using a Sea-Bird SBE-21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123895
title: ADCP (Acoustic Doppler Current Profiler) data collected during research cruise MGL1701 using a Hawaii UHDAS instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461938
title: Vitamin D deficiency

description: Vitamin D deficiency dataset using machine learning approaches
DOI: 10.7284/123884
title: Expendable Probe data collected during research cruise MGL1701 using a Sippican MK21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123892
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1701 using a C&C C-Nav 2000 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123897
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1701 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461827
title: Supplementary Material for: Identification of A Ring-Hydroxylating Dioxygenases Capable of Anthracene and Benz[a]anthracene Oxidization from <b><i>Rhodococcus</i></b> sp. P14

description: Nowadays, contamination of soil and marine sediments by polycyclic aromatic hydrocarbons (PAHs) has become a serious problem all over the world. <i>Rhodococcus</i> sp. P14 was isolated from sediments with crude oil contaminate and showed degradation ability on various PAHs. The genome of <i>Rhodococcus</i> sp. P14 was sequenced. A gene cluster encoding a ring-hydroxylating dioxygenase Baa related to PAH degradation was identified by bioinformatics. The expression level of gene <i>baaA</i> was increased when P14 was cultured with anthracene, pyrene, phenanthrene, or benz[a]­anthracene as the single carbon source. The recombinant protein Baa was overexpressed in <i>E. coli</i> BL21 (DE3). Further investigations on the recombinant protein Baa in <i>E. coli</i> demonstrated that it was able to oxidize anthracene and benz [a]anthracene, resulting in 9,10-dihydroxyanthracene and 7, 12-dihydroxybenz[a]anthracene as metabolites, respectively. These results indicate that Baa plays an important role in PAH degradation in <i>Rhodococcus</i> sp. P14 and Baa has potential application in the bioremediation of PAHs in the contaminated environment.
DOI: 10.6084/m9.figshare.7461782
title: TzPain Data.xls

description: Dataset of pain scores, injuries, interventions of Emergency Department patients with injuries at Kilimanjaro Christian Medical Center in Moshi, Tanzania.
DOI: 10.7284/123893
title: Gravimeter data collected during research cruise MGL1701 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461782.v1
title: TzPain Data.xls

description: Dataset of pain scores, injuries, interventions of Emergency Department patients with injuries at Kilimanjaro Christian Medical Center in Moshi, Tanzania.
DOI: 10.7284/123891
title: Gyrocompass data collected during research cruise MGL1701 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461776
title: Gene expression data sources for in silico approach to assessing activation of AKT/mTOR signalling pathway in ER-positive early Breast Cancer

description: This dataset contains data files and identifiers for original data sources for 39 gene expression datasets from over 7,000 individuals with estrogen receptor positive (ER-positive) Breast Cancer (BC).<br><b>Background</b><br>The related study developed a novel in silico approach to assess activation of different signalling pathways. The phosphatidylinositol 3-kinase (PI3K)/AKT/mTOR signalling pathway mediates key cellular functions, including growth, proliferation and survival and is frequently involved in carcinogenesis, tumor progression and metastases. This research seeks to target relative contribution of AKT and mTOR (downstream of PI3K) in BC outcomes using the in silico approach via integrated reverse phase protein array (RPPA) and matched gene expression.<br><br><b>Methods and sample size</b><br>The methodology includes the development of gene signatures that reflect level of expression of pAKT and p-mTOR separately. Pooled analysis of gene expression data from over 7,000 patients with ER-positive BC was then performed. This data record holds links to the repositories holding these data, as well as the R-data files for each data record used in the analysis. All gene signatures developed are captured in <b>Supplementary Data Sonnenblick.pdf.xlsx</b><br><br><b>Data sources</b><br>The dataset name, relevant DOI, accession number or access requirements are listed alongside the file type and repository name or other source where applicable.<br>GEO=Gene Expression OmnibusEGA=European Genome-phenome Archive<br>This data table is available to download as <b>NPJBCANCER-00304R1-data-sources.xlsx </b>including more detailed information and web urls to each data source. <b>data_db.tab</b> contains more detailed technical metadata for each data source.<br><br> Dataset Data location Permanent identifier/url NKI CCB NKI http://ccb.nki.nl/data/van-t-Veer_Nature_2002/<br><br> UCSF GEO GSE123833 STNO2 GEO GSE4335 NCI Research Article (Supplementary files) 10.1073/pnas.1732912100 UNC4 GEO GSE18229 CAL Array Express E-TABM-158 MDA4 GEO GSE123832<br> KOO GEO GSE123831 HLP Array Express E-TABM-543 EXPO GEO GSE2109 VDX GEO GSE2034/GSE5327 MSK GEO GSE2603 UPP GEO GSE3494 STK GEO GSE1456 UNT GEO GSE2990 DUKE GEO GSE3143 TRANSBIG GEO GSE7390 DUKE2 GEO GSE6961 MAINZ GEO GSE11121 LUND2 GEO GSE5325 LUND GEO GSE5325 FNCLCC GEO GSE7017 EMC2 GEO GSE12276 MUG GEO GSE10510 NCCS GEO GSE5364 MCCC GEO GSE19177 EORTC10994 GEO GSE1561 DFHCC GEO GSE19615 DFHCC2 GEO GSE18864 DFHCC3 GEO GSE3744 DFHCC4 GEO GSE5460 MAQC2 GEO GSE20194 TAM GEO GSE6532/GSE9195 MDA5 GEO GSE17705 VDX3 GEO GSE12093 METABRIC EGA EGAS00000000083 TCGA TCGA https://tcga-data.nci.nih.gov/docs/publications/brca_2012/ DNA methylation (Dedeurwaerder et al. 2011) GEO https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE20713
DOI: 10.6084/m9.figshare.7461776.v1
title: Gene expression data sources for in silico approach to assessing activation of AKT/mTOR signalling pathway in ER-positive early Breast Cancer

description: This dataset contains data files and identifiers for original data sources for 39 gene expression datasets from over 7,000 individuals with estrogen receptor positive (ER-positive) Breast Cancer (BC).<br><b>Background</b><br>The related study developed a novel in silico approach to assess activation of different signalling pathways. The phosphatidylinositol 3-kinase (PI3K)/AKT/mTOR signalling pathway mediates key cellular functions, including growth, proliferation and survival and is frequently involved in carcinogenesis, tumor progression and metastases. This research seeks to target relative contribution of AKT and mTOR (downstream of PI3K) in BC outcomes using the in silico approach via integrated reverse phase protein array (RPPA) and matched gene expression.<br><br><b>Methods and sample size</b><br>The methodology includes the development of gene signatures that reflect level of expression of pAKT and p-mTOR separately. Pooled analysis of gene expression data from over 7,000 patients with ER-positive BC was then performed. This data record holds links to the repositories holding these data, as well as the R-data files for each data record used in the analysis. All gene signatures developed are captured in <b>Supplementary Data Sonnenblick.pdf.xlsx</b><br><br><b>Data sources</b><br>The dataset name, relevant DOI, accession number or access requirements are listed alongside the file type and repository name or other source where applicable.<br>GEO=Gene Expression OmnibusEGA=European Genome-phenome Archive<br>This data table is available to download as <b>NPJBCANCER-00304R1-data-sources.xlsx </b>including more detailed information and web urls to each data source. <b>data_db.tab</b> contains more detailed technical metadata for each data source.<br><br> Dataset Data location Permanent identifier/url NKI CCB NKI http://ccb.nki.nl/data/van-t-Veer_Nature_2002/<br><br> UCSF GEO GSE123833 STNO2 GEO GSE4335 NCI Research Article (Supplementary files) 10.1073/pnas.1732912100 UNC4 GEO GSE18229 CAL Array Express E-TABM-158 MDA4 GEO GSE123832<br> KOO GEO GSE123831 HLP Array Express E-TABM-543 EXPO GEO GSE2109 VDX GEO GSE2034/GSE5327 MSK GEO GSE2603 UPP GEO GSE3494 STK GEO GSE1456 UNT GEO GSE2990 DUKE GEO GSE3143 TRANSBIG GEO GSE7390 DUKE2 GEO GSE6961 MAINZ GEO GSE11121 LUND2 GEO GSE5325 LUND GEO GSE5325 FNCLCC GEO GSE7017 EMC2 GEO GSE12276 MUG GEO GSE10510 NCCS GEO GSE5364 MCCC GEO GSE19177 EORTC10994 GEO GSE1561 DFHCC GEO GSE19615 DFHCC2 GEO GSE18864 DFHCC3 GEO GSE3744 DFHCC4 GEO GSE5460 MAQC2 GEO GSE20194 TAM GEO GSE6532/GSE9195 MDA5 GEO GSE17705 VDX3 GEO GSE12093 METABRIC EGA EGAS00000000083 TCGA TCGA https://tcga-data.nci.nih.gov/docs/publications/brca_2012/ DNA methylation (Dedeurwaerder et al. 2011) GEO https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE20713
DOI: 10.7284/123888
title: INS (Inertial Navigation System) data collected during research cruise MGL1701 using a Kongsberg Seapath 200 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123894
title: INS (Inertial Navigation System) data collected during research cruise MGL1701 using a Applanix POS/MV-320 V3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.17028/rd.lboro.7461722
title: Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis'

description: Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis'.<br>Abstract:This paper uses site suitability analysis to identify locations for solar farms in the UK to help meet climate change targets. A set of maps, each representing a given suitability criterion, is created with geographical information systems (GIS) software. These are combined to give a Boolean map of areas which are appropriate for large-scale solar farm installation. Several scenarios are investigated by varying the criteria, which include geographical (land use) factors, solar energy resource and electrical distribution network constraints. Some are dictated by the physical and technical requirements of large-scale solar construction, and some by government or distribution network operator (DNO) policy. It is found that any suitability map which does not heed planning permission and grid constraints will overstate potential solar farm area by up to 97%. This research finds sufficient suitable land to meet Future Energy Scenarios (UK National Grid outlines for the coming energy landscape).
DOI: 10.7284/123887
title: Magnetometer data collected during research cruise MGL1701 using a Geometrics G-882 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123896
title: pCO2 (Partial Pressure of Carbon Dioxide) data collected during research cruise MGL1701 using a LDEO pCO2 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461701.v1
title: Quantile co-movement in financial markets: A panel quantile model with unobserved heterogeneity

description: This paper introduces a new procedure for analyzing the quantile co-movement of a large number of financial time series based on a large-scale panel data model with factor structures. The proposed method attempts to capture the unobservable heterogeneity of each of the financial time series based on sensitivity to explanatory variables and to the unobservable factor structure. In our model, the dimension of the common factor structure varies across quantiles, and the explanatory variables is allowed to depend on the factor structure. The proposed method allows for both cross-sectional and serial dependence, and heteroskedasticity, which are common in financial markets. We propose new estimation procedures for both frequentist and Bayesian frameworks. Consistency and asymptotic normality of the proposed estimator are established. We also propose a new model selection criterion for determining the number of common factors together with theoretical support. We apply the method to analyze the returns for over 6,000 international stocks from over 60 countries during the subprime crisis, European sovereign debt crisis, and subsequent period. The empirical analysis indicates that the common factor structure varies across quantiles. We find that the common factors for the quantiles and the common factors for the mean are different.
DOI: 10.7284/123889
title: Singlebeam Echosounder data collected during research cruise MGL1701 using a Knudsen 3260 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123886
title: Speedlog data collected during research cruise MGL1701 using a Furuno DS-50 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/123890
title: TSG (Thermosalinograph) data collected during research cruise MGL1701 using a Sea-Bird SBE-21 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461611
title: Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location

description: The following data are available. The experimental data are obtained at Kolkata (22<sup>o</sup>34’N, 88<sup>o</sup>22’E), India for the period 2012-13. <br>1) Electric Field data obtained from Electric Field Mill2) Black carbon concentration data from aethalometer3) Rain rate and rain accumulation data from disdrometer and micro rain radar4) Cloud base height and liquid water path data from radiometer<br>Reference:<br>S. Jana and A. Maitra, "Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location" , Journal of Geophysical Research: Atmosphere, 2018.<br><br><br><br>
DOI: 10.7284/127216
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1702 using a C&C C-Nav 2000 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.7284/127219
title: GNSS (Global Navigation Satellite System) data collected during research cruise MGL1702 using a C&C C-Nav 3050 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461611.v1
title: Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location

description: The following data are available. The experimental data are obtained at Kolkata (22<sup>o</sup>34’N, 88<sup>o</sup>22’E), India for the period 2012-13. <br>1) Electric Field data obtained from Electric Field Mill2) Black carbon concentration data from aethalometer3) Rain rate and rain accumulation data from disdrometer and micro rain radar4) Cloud base height and liquid water path data from radiometer<br>Reference:<br>S. Jana and A. Maitra, "Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location" , Journal of Geophysical Research: Atmosphere, 2018.<br><br><br><br>
DOI: 10.6084/m9.figshare.7461611.v3
title: Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location

description: The following data are available. The experimental data are obtained at Kolkata (22<sup>o</sup>34’N, 88<sup>o</sup>22’E), India for the period 2012-13. <br>1) Electric Field data obtained from Electric Field Mill2) Black carbon concentration data from aethalometer3) Rain rate and rain accumulation data from disdrometer and micro rain radar4) Cloud base height and liquid water path data from radiometer<br>Reference:<br>S. Jana and A. Maitra, "Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location" , Journal of Geophysical Research: Atmosphere, 2018.<br><br><br><br>
DOI: 10.7284/127217
title: Gravimeter data collected during research cruise MGL1702 using a Bell BGM-3 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461611.v2
title: Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location

description: The following data are available. The experimental data are obtained at Kolkata (22<sup>o</sup>34’N, 88<sup>o</sup>22’E), India for the period 2012-13. <br>1) Electric Field data obtained from Electric Field Mill2) Black carbon concentration data from aethalometer3) Rain rate and rain accumulation data from disdrometer and micro rain radar4) Cloud base height and liquid water path data from radiometer<br>Reference:<br>S. Jana and A. Maitra, "Electric Field Variation in Clear and Convective Conditions at a Tropical Urban Location" , Journal of Geophysical Research: Atmosphere, 2018.<br><br><br><br>
DOI: 10.7284/127215
title: Gyrocompass data collected during research cruise MGL1702 using a Kongsberg Simrad GC80 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition
DOI: 10.6084/m9.figshare.7461557
title: Supplementary Material for: A 2018 European Thyroid Association Survey on the Use of Selenium Supplementation in Graves’ Hyperthyroidism and Graves’ Orbitopathy

description: <b><i>Objective:</i></b> Selenium (Se) supplementation has been suggested in the treatment of Graves’ disease (GD). We sought to investigate Se prescription patterns for GD across European countries. <b><i>Methods:</i></b> Members of the European Thyroid Association were invited to participate in an online survey investigating the use of Se in GD either without or with orbitopathy (GO). Of 872 invited members, 244 (28%) completed the survey. After exclusion of basic scientists and non-European members, 197 responses were retrieved out of clinical trials (nearly half of clinician members), of whom 61 do not use Se. Thus, 136 respondents remained for further analyses. <b><i>Results:</i></b> Among the 136 analyzed respondents, most (64.7%) were not aware of the Se status in their populations, did not assess Se levels (78.7%), nor considered iodine status (74.3%). In GD without GO, 38.2% recommend Se supplementation (“sometimes” [27.2%], “frequently” [5.9%] or “always” [5.1%]). When GO occurs, 94.1% recommend Se supplementation (“sometimes” [39%], “frequently” [30.1%] or “always” [25%]). Of these, 60.1% recommend Se as an alternative to watchful waiting in patients with mild ocular involvement and 44.9% as an adjuvant to the established treatment modalities in patients with moderate to severe ocular involvement. <b><i>Conclusions:</i></b> In Graves’ hyperthyroidism without GO, 38.2% of ETA (European Thyroid Association) members recommend Se supplementation. Conversely, Se is recommended by the majority of respondents in GO, both in patients with mild and moderate to severe ocular involvement. This clinical practice is partially in disagreement with current European treatment guidelines that recommend Se as a 6-month treatment in mild GO only.
DOI: 10.7284/127213
title: Speedlog data collected during research cruise MGL1702 using a Furuno DS-50 instrument system onboard the platform RV Marcus G. Langseth

description: Original (unprocessed) data collected during a Field_expedition