cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.18170/dvn/e0eld5
title: Seafloor magnetism under hydrothermal alteration: insights from magnetomineralogy and magnetic properties of the Southwest Indian Ridge Basalts

description: This data set contains rock magnetic data for fresh and hydrothermally-altered basalt from the Southwest Indian Ridges. These data include alternating-field (AF) demagnetization, thermal demagnetization (TD), temperature-dependent magnetic susceptibility (k-T), isothermal remanent magnetization (IRM) acquisition curves and the unmixed components, low-temperature magnetic property measurements, hysteresis loops, and the first-order reversal curves (FORC). Samples and their lithologies are described in the Excel file named ''Data form.xlsx" with their bulk magnetic parameters as well.
DOI: 10.5255/ukda-sn-855206
title: Sleep Deprivation and Language Learning, 2017-2021

description: This research demonstrated that although new memories for individual items can be acquired rapidly, the process of discovering regularities across individual items to permit generalisation requires a period of overnight memory consolidation. The aim of the present research project is to discover whether sleep is the critical factor in the acquisition of general linguistic knowledge, and further, to describe the neural processes arising during sleep that facilitate this form of learning. This collection contains stimuli, data, and analysis code for the article: Tamminen, J. et al. (2020). Generalisation in language learning can withstand total sleep deprivation. Neurobiology of Learning and Memory, 173, 107274. Data and data documentation are housed on the Open Science Framework (https://osf.io/2kyrd/).
DOI: 10.5255/ukda-sn-855193
title: Mental Health and Wellbeing of Postgraduate Researchers Survey Data, 2018-2019

description: High rates of mental ill-health in postgraduate researchers (PGRs) represent a significant barrier to life satisfaction and academic success. Nevertheless, there is little knowledge about the extent and origins of mental health problems of PGRs in the UK. The current study addresses this gap by assessing investigating the prevalence and provenance of anxiety, depression, sleep problems, subjective mental wellbeing, and suicide behaviours of PGRs in the UK. An online survey (N=479) was used to measure the mental health outcomes and assess their relationship with influence of demographic, trait and academic variables, and social support. We found a high prevalence of mental ill-health and low levels of wellbeing in the current sample. Factors associated with poorer outcomes were female and non-binary gender, non-heterosexual identity, maladaptive perfectionism, workaholism and being in the 5th year of study or above. Resilience, adaptive perfectionism, higher levels of social support and positive evaluations of progress and preparation, departmental climate, and supervisory relationship were associated with more positive outcomes. The current findings contribute new knowledge about the prevalence of mental health symptoms in PGRs in the UK, implying that institutional efforts to improve PGR wellbeing should include strategies to promote equality, diversity, resilience, integration and work-life balance of PGRs.
DOI: 10.3886/e151381
title: Pregnancy & Breastfeeding AEFI COVID-19 vaccine

description: Research project on AEFI in breastfeeding and pregnant women doctors after administration of COVID-19 vaccine
DOI: 10.3886/e151381v1
title: Pregnancy & Breastfeeding AEFI COVID-19 vaccine

description: Research project on AEFI in breastfeeding and pregnant women doctors after administration of COVID-19 vaccine
DOI: 10.5281/zenodo.5482368
title: Characterization of NR-PM1 and source apportionment of organic aerosol in Krakow, Poland

description: Krakow is routinely affected by very high air pollution levels, especially during the winter months. Although a lot of effort has been done on characterization of ambient aerosols, there is a lack of online and long-term measurements of non-refractory aerosols. Our measurements at AGH University provide online long-term chemical composition of ambient submicron particulate matter (PM<sub>1</sub>) between January 2018 and April 2019. Here we report the chemical characterization of non-refractory submicron aerosols and source apportionment of the organic fraction by positive matrix factorization (PMF). In contrast to other long-term source apportionment studies, we let a small PMF window roll over the dataset instead of performing PMF over the full dataset or on separate seasons. In this way, the seasonal variation of the source profiles can be captured. The uncertainties of the PMF solutions are addressed by the bootstrap resampling strategy and the random <em>a</em>-value approach for constrained factors. We observe clear seasonal patterns in concentration and composition of PM<sub>1</sub>, with high concentrations during the winter months and lower concentrations during the summer months. Organics are the dominant species throughout the campaign. Five organic aerosol (OA) factors are resolved, of which three are of primary nature (hydrocarbon-like OA (HOA), biomass burning OA (BBOA) and coal combustion OA (CCOA)) and two are of secondary nature (more oxidized oxygenated OA (MO-OOA) and less oxidized oxygenated OA (LO-OOA)). While HOA contributes on average 8.6 % ± 2.3 % throughout the campaign, the solid fuel combustion related BBOA and CCOA show a clear seasonal trend with average contributions of 10.4 % ± 2.7 % and 14.1 %, ± 2.1 % respectively. Not only BBOA but also CCOA is associated with residential heating because of the pronounced yearly cycle where the highest contributions are observed during wintertime. Throughout the campaign, the OOA can be separated into MO-OOA and LO-OOA with average contribution of 38.4 % ± 8.4 % and 28.5 % ± 11.2 %, respectively.
DOI: 10.5281/zenodo.5482367
title: Characterization of NR-PM1 and source apportionment of organic aerosol in Krakow, Poland

description: Krakow is routinely affected by very high air pollution levels, especially during the winter months. Although a lot of effort has been done on characterization of ambient aerosols, there is a lack of online and long-term measurements of non-refractory aerosols. Our measurements at AGH University provide online long-term chemical composition of ambient submicron particulate matter (PM<sub>1</sub>) between January 2018 and April 2019. Here we report the chemical characterization of non-refractory submicron aerosols and source apportionment of the organic fraction by positive matrix factorization (PMF). In contrast to other long-term source apportionment studies, we let a small PMF window roll over the dataset instead of performing PMF over the full dataset or on separate seasons. In this way, the seasonal variation of the source profiles can be captured. The uncertainties of the PMF solutions are addressed by the bootstrap resampling strategy and the random <em>a</em>-value approach for constrained factors. We observe clear seasonal patterns in concentration and composition of PM<sub>1</sub>, with high concentrations during the winter months and lower concentrations during the summer months. Organics are the dominant species throughout the campaign. Five organic aerosol (OA) factors are resolved, of which three are of primary nature (hydrocarbon-like OA (HOA), biomass burning OA (BBOA) and coal combustion OA (CCOA)) and two are of secondary nature (more oxidized oxygenated OA (MO-OOA) and less oxidized oxygenated OA (LO-OOA)). While HOA contributes on average 8.6 % ± 2.3 % throughout the campaign, the solid fuel combustion related BBOA and CCOA show a clear seasonal trend with average contributions of 10.4 % ± 2.7 % and 14.1 %, ± 2.1 % respectively. Not only BBOA but also CCOA is associated with residential heating because of the pronounced yearly cycle where the highest contributions are observed during wintertime. Throughout the campaign, the OOA can be separated into MO-OOA and LO-OOA with average contribution of 38.4 % ± 8.4 % and 28.5 % ± 11.2 %, respectively.
DOI: 10.6084/m9.figshare.16716106
title: Behavioral Responses

description: Online Behavioral Data<br>In this experiment, 60 participants viewed images and pressed keys to indicate their current perception of the image. The images were shown in 3 different sizes and 4 different locations. Each of these was shown for 2x60 second trials Each participant saw one of three images: Rubin face-vase Necker cube with the view from above consistent with the green face being closest Necker cube with the view from above consistent with the blue face being closest<br><br>This .mat file contains the raw responses to each of the images. All times are given in ms from the start of the trial.Responses can be for one of the 2 percepts, or for UNSURE. NaN indicates pressing a button unrelated to the percepts.For Rubin face vase, the percepts are face or vase.For Necker cube, the percepts are green or blue, which is the colour of the face perceived as closest.<br>The trial condition is found in the field Subjects.data.size.trial.image and Subjects.data.location.trial.image <br>size conditions for Necker Cube = Small (4deg), Centre (8deg) , Big (12deg)size conditions for FaceVase = Centre (8deg) , Big (12deg) , XLarge (16deg)<br><br>location conditions = Left, Right, Bottom, Top
DOI: 10.18112/openneuro.ds003826.v1.0.0
title: Structural (t1) images of 113 young healthy adults; study of effects of chronotype on brain structure
DOI: 10.5517/ccdc.csd.cc27fq0f
title: CCDC 2068754: Experimental Crystal Structure Determination

description: Related Article: Michael Morgen,  Piotr Fabrowski,  Eberhard Amtmann,  Nikolas Gunkel,  Aubry K. Miller|2021|Chem.-Eur.J.|27|12156|doi:10.1002/chem.202101366
DOI: 10.5517/ccdc.csd.cc27fq1g
title: CCDC 2068755: Experimental Crystal Structure Determination

description: Related Article: Michael Morgen,  Piotr Fabrowski,  Eberhard Amtmann,  Nikolas Gunkel,  Aubry K. Miller|2021|Chem.-Eur.J.|27|12156|doi:10.1002/chem.202101366
DOI: 10.5517/ccdc.csd.cc27fq2h
title: CCDC 2068756: Experimental Crystal Structure Determination

description: Related Article: Michael Morgen,  Piotr Fabrowski,  Eberhard Amtmann,  Nikolas Gunkel,  Aubry K. Miller|2021|Chem.-Eur.J.|27|12156|doi:10.1002/chem.202101366
DOI: 10.5517/ccdc.csd.cc27fq3j
title: CCDC 2068757: Experimental Crystal Structure Determination

description: Related Article: Michael Morgen,  Piotr Fabrowski,  Eberhard Amtmann,  Nikolas Gunkel,  Aubry K. Miller|2021|Chem.-Eur.J.|27|12156|doi:10.1002/chem.202101366
DOI: 10.5517/ccdc.csd.cc27fq4k
title: CCDC 2068758: Experimental Crystal Structure Determination

description: Related Article: Michael Morgen,  Piotr Fabrowski,  Eberhard Amtmann,  Nikolas Gunkel,  Aubry K. Miller|2021|Chem.-Eur.J.|27|12156|doi:10.1002/chem.202101366
DOI: 10.5517/ccdc.csd.cc27fq5l
title: CCDC 2068759: Experimental Crystal Structure Determination

description: Related Article: Michael Morgen,  Piotr Fabrowski,  Eberhard Amtmann,  Nikolas Gunkel,  Aubry K. Miller|2021|Chem.-Eur.J.|27|12156|doi:10.1002/chem.202101366
DOI: 10.25405/data.ncl.16636282
title: Simulated detention ponds in the Ouseburn Catchment, Newcastle upon Tyne using Shetran hydrological model

description: Set of 6 shetran hydrological model simulations of the Ouseburn catchment. <br><br>Three relating to the Kingston Park development and three relating to the Melbury development. Nanings can be seen here:shetran-simulations-namings.txt<br><br>The results are published here:<br><br>https://www.mdpi.com/2073-4441/13/18/2521<br>
DOI: 10.25405/data.ncl.16636282.v1
title: Simulated detention ponds in the Ouseburn Catchment, Newcastle upon Tyne using Shetran hydrological model

description: Set of 6 shetran hydrological model simulations of the Ouseburn catchment. <br><br>Three relating to the Kingston Park development and three relating to the Melbury development. Nanings can be seen here:shetran-simulations-namings.txt<br><br>The results are published here:<br><br>https://www.mdpi.com/2073-4441/13/18/2521<br>
DOI: 10.5285/ac43cee2bf5e4942970492209ba95e49
title: Surface velocity map of the Afar Rift Zone from 2014-19

description: This dataset contains a map of ground movements covering the Afar Rift Zone in Ethiopia, Eritrea, and Djibouti for the time period between October 2014 and August 2019. The Afar region is located where three tectonic plates are pulling apart, creating rift segments which are 50-100 km long. Surface deformation on these segments is not constant in time, with episodes of rifting occurring periodically and magma intrusions causing sudden ground movements. We use frequent Sentinel-1 satellite Interferometric Synthetic Aperture Radar (InSAR) observations to measure surface displacements through time across the whole region. We relate these to ground based Global Navigation Satellite Systems (GNSS) observations and combine data from different satellite tracks to produce maps of the average surface velocity in three directions (perpendicular to the rift zone, parallel to the rift zone, and vertical). The continued observation of these time-varying ground movements is important for understanding how continents break up, with data here providing evidence of how tightly focussed extension is around the rift segments and of the subsurface magma movement at several volcanic centres.
DOI: 10.25646/9104
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5255/ukda-sn-855220
title: UK Dairy Farmer Survey on Production Practices and Attitudes Towards Grass-based and Indoor Systems, 2018-2019

description: The results of a survey about UK dairy farmers' production practices and views of grass-based and indoor systems. The survey was disseminated between August 2018 and February 2019 online through social media (twitter and facebook), farming and local press and agricultural organisations and in the form of a paper survey posted to 909 Scottish farmers. Postal addresses for Scottish farmers were obtained from the Scottish government. There were 371 responses - 254 from Scotland, 76 from England, 26 from Northern Ireland and 15 from Wales. There were 237 responses to the postal survey in Scotland (additional Scottish surveys were filled in online) and 11 surveys were returned stating that the dairy farm was no longer in business, giving a response rate of 26%. The terms ‘grass-based’ system is used to refer to systems where the cows graze for part of the year. These systems may involve year-round grazing but usually involve a period of housing the cows in winter. An indoor system means that the cows are housed all year-round and do not graze.The aim of the survey was to explore farmers' current practices and their views on the economic, animal welfare and environmental aspects of different systems.
DOI: 10.17037/data.00002527
title: Support files for: "Electronic data collection, management and analysis tools used for outbreak response in low- and middle-income countries: a systematic review and stakeholder survey"

description: A collection of files that underpin the analysis outlined in "Electronic data collection, management and analysis tools used for outbreak response in low- and middle-income countries: a systematic review and stakeholder survey". It consists of (1)a document that outlines the search strategies applied; (2) a list of definitions used for data extraction; (3) a data dictionary of the online Enketo Stakeholder survey on electronic data collection, management and analysis tools; (4) a dataset outlining studies excluded from the systematic review and the reasons for exclusion; (5) a documentation outlining number and percentage of respondents to the stakeholder survey per responding organisation; (6) a dataset that lists electronic tools reported by organisations with at least two respondents to the survey; (7) a dataset that lists electronic tools identified and their reported uses from the systematic review (2010–2020 and/or stakeholder survey; (8) a dataset that lists technical characteristics of identified tools; and (9) the PRISMA checklist.
DOI: 10.6084/m9.figshare.16719536
title: Appendix C. Origin of Fe–Ni–Cu (Co) sulfide and Fe–Ti oxide minerals in the <i>c</i>. 1.77 Ga dolerite dyke, Singhbhum Craton (eastern India)

description: EPMA and SEM-EDS analysis of sulfide minerals (EDS data normalized to 100%)
DOI: 10.13140/rg.2.2.19660.74887
title: A Complete List of Methods, Tutors, Treatises and A Complete List of Etudes, Caprices, Exercises for the Violoncello in the XVIII and XIX centuries
DOI: 10.6084/m9.figshare.16719533
title: Appendix A. Origin of Fe–Ni–Cu (Co) sulfide and Fe–Ti oxide minerals in the <i>c</i>. 1.77 Ga dolerite dyke, Singhbhum Craton (eastern India)

description: EPMA of clinopyroxene, orthopyroxene, plagioclase and amphibole
DOI: 10.6084/m9.figshare.16719536.v1
title: Appendix C. Origin of Fe–Ni–Cu (Co) sulfide and Fe–Ti oxide minerals in the <i>c</i>. 1.77 Ga dolerite dyke, Singhbhum Craton (eastern India)

description: EPMA and SEM-EDS analysis of sulfide minerals (EDS data normalized to 100%)
DOI: 10.6084/m9.figshare.16719539
title: Appendix B. Origin of Fe–Ni–Cu (Co) sulfide and Fe–Ti oxide minerals in the <i>c</i>. 1.77 Ga dolerite dyke, Singhbhum Craton (eastern India)

description: EPMA of titanomagnetite and ilmenite
DOI: 10.6084/m9.figshare.16719539.v1
title: Appendix B. Origin of Fe–Ni–Cu (Co) sulfide and Fe–Ti oxide minerals in the <i>c</i>. 1.77 Ga dolerite dyke, Singhbhum Craton (eastern India)

description: EPMA of titanomagnetite and ilmenite
DOI: 10.5281/zenodo.5541484
title: Life-Cycle Inventory (LCI) For the comparative Life-Cycle Assessment of a restoration and renovation of a traditional Danish farmer house

description: This document provides the Life-Cycle Inventory of the study comparing the environmental performance of the restoration (Scenario 1, also mentioned as "S1") or renovation (Scenario 2, "S2") of a traditional Danish farmer house. The LCI is used as input for the life-cycle impact assessment phase in the LCA where the inputs and outputs of elementary flows in the LCI are characterized as potential impacts on the environment. The LCI is based on primary data from the "Apprentices' House" combined with secondary data from materials specific environmental product declaration and the large LCI database ecoinvent v3. The file contains several spreadsheets organized as follows: Thicknesses,S1 - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1 Thicknesses, S1b - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1b Thicknesses, S1c - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1c Thicknesses, S2 - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S2 Surfaces - Reports the area of all surfaces of the house (walls, ceilings, floors) for all scenarios. Bill of materials - Sums up the list and quantity of all the materials used in all scenarios, providing details as to the quantity kept from the actual house, as well as the new input and output of materials during the restoration/renovation Heat loss, S1 - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1 Heat loss, S1b - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1b Heat loss, S1c - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1c Heat loss, S2 - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 2 Parameters - Describes the main parameters used in the LCI and their corresponding uncertainty LCI Materials - Provides the full breakdown of the processes created and used for the LCI modelling on OpenLCA LCI Building - Provides the full breakdown of the processes created and used for the LCI modelling on OpenLCA
DOI: 10.5281/zenodo.5541483
title: Life-Cycle Inventory (LCI) For the comparative Life-Cycle Assessment of a restoration and renovation of a traditional Danish farmer house

description: This document provides the Life-Cycle Inventory of the study comparing the environmental performance of the restoration (Scenario 1, also mentioned as "S1") or renovation (Scenario 2, "S2") of a traditional Danish farmer house. The LCI is used as input for the life-cycle impact assessment phase in the LCA where the inputs and outputs of elementary flows in the LCI are characterized as potential impacts on the environment. The LCI is based on primary data from the "Apprentices' House" combined with secondary data from materials specific environmental product declaration and the large LCI database ecoinvent v3. The file contains several spreadsheets organized as follows: Thicknesses,S1 - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1 Thicknesses, S1b - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1b Thicknesses, S1c - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S1c Thicknesses, S2 - Reports the materials and their corresponding thicknesses used for walls, ceilings, floors and insulation in S2 Surfaces - Reports the area of all surfaces of the house (walls, ceilings, floors) for all scenarios. Bill of materials - Sums up the list and quantity of all the materials used in all scenarios, providing details as to the quantity kept from the actual house, as well as the new input and output of materials during the restoration/renovation Heat loss, S1 - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1 Heat loss, S1b - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1b Heat loss, S1c - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 1c Heat loss, S2 - Provides details for the calculation of heat loss through the building envelope of the house in Scenario 2 Parameters - Describes the main parameters used in the LCI and their corresponding uncertainty LCI Materials - Provides the full breakdown of the processes created and used for the LCI modelling on OpenLCA LCI Building - Provides the full breakdown of the processes created and used for the LCI modelling on OpenLCA
DOI: 10.5281/zenodo.5541095
title: Wave Parameters - North Atlantic Ocean - Period 2081-2099 - RCP8.5 - MODEL: Wavewatch III - Global Driver: HadGEM

description: <strong>Wave Model:</strong> WAVEWATCH_III - version number 5.16 <strong>Global driver: </strong> HadGEM (Hadley Centre Global Environmental Model) <strong>Variables:</strong> Significant Wave Height Mean period, peak frequency Mean wave direction 0.25° x 0.25° horizontal resolution - 3h time resolution <strong>Region: </strong> southernmost latitude = 10° northernmost latitude = 42° westernmost longitude = -70° easternmost longitude = -5° <strong>360-day calendar</strong> <strong>NetCDF format</strong>
description: The data can also be downloaded from the SOCLIMPACT FTP Repository hosted at https://giotto.casaccia.enea.it/soclimpact/index.php/