cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7695432
title: Revisiones sistemáticas ByD

description: Fichero de datos de revisiones sistemáticas publicadas en revistas españolas de Biblioteconomía y Documentación
DOI: 10.57745/fmmu5b
title: PARLAC-Dataset.tab

description: :unav
DOI: 10.48579/pro/fo651x
title: Valeurs de concentration en éléments chimiques dans des mousses collectées en France métropolitaine en 2000

description: Dépourvues de système vasculaire développé et de véritables racines, les mousses sont directement exposées aux variations du milieu. Elles répondent rapidement aux perturbations environnementales et fournissent ainsi des informations utiles sur la qualité des milieux aquatiques et terrestres ainsi que sur les changements globaux. Au travers de très nombreuses études, les mousses terrestres sont apparues comme des bioaccumulateurs efficaces du dépôt atmosphérique particulaire et soluble. La concentration d’un élément dans une mousse permet d'estimer le niveau d’exposition du brin vis-à-vis des contaminants atmosphériques. Cette technique de biosurveillance est une méthode relative qui permet de classer les sites de collecte les uns par rapport aux autres en fonction de la valeur de concentration mesurée dans l’échantillon de mousses. Le dispositif BRAMM (Biosurveillance des Retombées Atmosphériques Métalliques par les Mousses) permet de cartographier et de modéliser les concentrations en contaminants métalliques et azoté dans des mousses forestières sur l’ensemble du territoire métropolitain. Des campagnes quinquennales sont réalisées depuis 1996 (1996, 2000, 2006, 2011, 2016 et 2021) et portent sur environ 500 sites de collectes répartis sur l’ensemble du territoire. Ces sites sont localisés en milieu rural, loin des sources locales de pollution, et forestier, sous couvert arboré. Le dispositif BRAMM est la participation française au programme European moss survey piloté par le PIC-Végétation dans le cadre de la Convention de Genève sur la Pollution Atmosphérique Transfrontière à Longue Distance (UNECE-LRATP).
DOI: 10.6084/m9.figshare.21444144
title: Circles App Evaluation Trial Data

description: This dataset was produced in a 4 week randomised control trial of the Circles app v2, from the SERVICE project (https://serviceproject.org.uk/) funded by the EPSRC. <br> <strong>The SERVICE project is a non-profit academic effort to understand and support the emotional needs of older adults impacted by COVID-19.</strong> <br> <br> We seek to understand experiences of the pandemic among older people and their supporters. <br> <br> We are creating a non-profit and open-source digital platform which helps people support each other while respecting and protecting their privacy and security. <br> <br> <br> <br> <strong>Our planned academic contributions are:</strong> <br> <br> To share multi-method datasets, presentations, and publications on older people’s experiences of COVID-19, well-being, loneliness, emotion regulation, and social support. <br> This dataset contains 1) csv file with pre, mid, and end point survey data (0, 2 weeks, 4 weeks) captured from January 2022, and the documentation accompanying the surveys including the qualtrics files. 2) anonymised app data collected by the Circles app over the 4 week trial. 3) screenshots of the Circles app. The code for the app itself is available on Github: https://github.com/OU-STEM-SIES/SERVICE_server and https://github.com/OU-STEM-SIES/SERVICE_mobile All data have been anonymised and are not linkable to participant personal information. <br> This study was approved by the ethics comittees at the collaborating institutions (Nottingham Trent University, University of Exeter, and the Open University). <br> Study Design: An online mixed methods 4-week randomised 2 x 3 trial with an app using group compared to a wait list control. The app group also completed post-trial interviews (transcripts have not been made available). <br> Methods: Older adults (<em>N</em>=102, aged 50+) completed three surveys with quantitative measures of loneliness, wellbeing, mental health. Participants in the app using group were encouraged to use the app daily to log their wellbeing, loneliness, activities, social connections and time spent in different locations. <br>
DOI: 10.6084/m9.figshare.21444144.v3
title: Circles App Evaluation Trial Data

description: This dataset was produced in a 4 week randomised control trial of the Circles app v2, from the SERVICE project (https://serviceproject.org.uk/) funded by the EPSRC. <br> <strong>The SERVICE project is a non-profit academic effort to understand and support the emotional needs of older adults impacted by COVID-19.</strong> <br> <br> We seek to understand experiences of the pandemic among older people and their supporters. <br> <br> We are creating a non-profit and open-source digital platform which helps people support each other while respecting and protecting their privacy and security. <br> <br> <br> <br> <strong>Our planned academic contributions are:</strong> <br> <br> To share multi-method datasets, presentations, and publications on older people’s experiences of COVID-19, well-being, loneliness, emotion regulation, and social support. <br> This dataset contains 1) csv file with pre, mid, and end point survey data (0, 2 weeks, 4 weeks) captured from January 2022, and the documentation accompanying the surveys including the qualtrics files. 2) anonymised app data collected by the Circles app over the 4 week trial. 3) screenshots of the Circles app. The code for the app itself is available on Github: https://github.com/OU-STEM-SIES/SERVICE_server and https://github.com/OU-STEM-SIES/SERVICE_mobile All data have been anonymised and are not linkable to participant personal information. <br> This study was approved by the ethics comittees at the collaborating institutions (Nottingham Trent University, University of Exeter, and the Open University). <br> Study Design: An online mixed methods 4-week randomised 2 x 3 trial with an app using group compared to a wait list control. The app group also completed post-trial interviews (transcripts have not been made available). <br> Methods: Older adults (<em>N</em>=102, aged 50+) completed three surveys with quantitative measures of loneliness, wellbeing, mental health. Participants in the app using group were encouraged to use the app daily to log their wellbeing, loneliness, activities, social connections and time spent in different locations. <br>
DOI: 10.6084/m9.figshare.21444144.v2
title: Circles App Evaluation Trial Data

description: This dataset was produced in a 4 week randomised control trial of the Circles app v2, from the SERVICE project (https://serviceproject.org.uk/) funded by the EPSRC. <br> <strong>The SERVICE project is a non-profit academic effort to understand and support the emotional needs of older adults impacted by COVID-19.</strong> <br> <br> We seek to understand experiences of the pandemic among older people and their supporters. <br> <br> We are creating a non-profit and open-source digital platform which helps people support each other while respecting and protecting their privacy and security. <br> <br> <br> <br> <strong>Our planned academic contributions are:</strong> <br> <br> To share multi-method datasets, presentations, and publications on older people’s experiences of COVID-19, well-being, loneliness, emotion regulation, and social support. <br> This dataset contains 1) csv file with pre, mid, and end point survey data (0, 2 weeks, 4 weeks) captured from January 2022, and the documentation accompanying the surveys including the qualtrics files. 2) anonymised app data collected by the Circles app over the 4 week trial. 3) screenshots of the Circles app. The code for the app itself is available on Github: https://github.com/OU-STEM-SIES/SERVICE_server and https://github.com/OU-STEM-SIES/SERVICE_mobile All data have been anonymised and are not linkable to participant personal information. <br> This study was approved by the ethics comittees at the collaborating institutions (Nottingham Trent University, University of Exeter, and the Open University). <br> Study Design: An online mixed methods 4-week randomised 2 x 3 trial with an app using group compared to a wait list control. The app group also completed post-trial interviews (transcripts have not been made available). <br> Methods: Older adults (<em>N</em>=102, aged 50+) completed three surveys with quantitative measures of loneliness, wellbeing, mental health. Participants in the app using group were encouraged to use the app daily to log their wellbeing, loneliness, activities, social connections and time spent in different locations. <br>
DOI: 10.48579/pro/niltnb
title: Valeurs de concentration en éléments chimiques dans des mousses collectées en France métropolitaine en 2006

description: Dépourvues de système vasculaire développé et de véritables racines, les mousses sont directement exposées aux variations du milieu. Elles répondent rapidement aux perturbations environnementales et fournissent ainsi des informations utiles sur la qualité des milieux aquatiques et terrestres ainsi que sur les changements globaux. Au travers de très nombreuses études, les mousses terrestres sont apparues comme des bioaccumulateurs efficaces du dépôt atmosphérique particulaire et soluble. La concentration d’un élément dans une mousse permet d'estimer le niveau d’exposition du brin vis-à-vis des contaminants atmosphériques. Cette technique de biosurveillance est une méthode relative qui permet de classer les sites de collecte les uns par rapport aux autres en fonction de la valeur de concentration mesurée dans l’échantillon de mousses. Le dispositif BRAMM (Biosurveillance des Retombées Atmosphériques Métalliques par les Mousses) permet de cartographier et de modéliser les concentrations en contaminants métalliques et azoté dans des mousses forestières sur l’ensemble du territoire métropolitain. Des campagnes quinquennales sont réalisées depuis 1996 (1996, 2000, 2006, 2011, 2016 et 2021) et portent sur environ 500 sites de collectes répartis sur l’ensemble du territoire. Ces sites sont localisés en milieu rural, loin des sources locales de pollution, et forestier, sous couvert arboré. Le dispositif BRAMM est la participation française au programme European moss survey piloté par le PIC-Végétation dans le cadre de la Convention de Genève sur la Pollution Atmosphérique Transfrontière à Longue Distance (UNECE-LRATP).
DOI: 10.5281/zenodo.7694856
title: Thermoelectric sample Cu2.3Mn0.7GeS4 - M289 - Stannite phase

description: <strong><em>M289-Stannite</em></strong> The following submission contains the data collection and processing of datasets for the sample M289, with composition Cu2.3Mn0.7GeS4 - Stannite phase, in the framework of the publication: Pavan Kumar, V., Passuti, S., Zhang, B., Fujii, S., Yoshizawa, K., Boullay, P., ... & Guilmeau, E. (2022). Engineering Transport Properties in Interconnected Enargite‐Stannite Type Cu2+ xMn1− xGeS4 Nanocomposites. <em>Angewandte Chemie International Edition</em>, <em>61</em>(49), e202210600. A crystal was identified, and precession data acquisition techniques were used to collect datasets on the same crystal. The data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder. <strong>Precession:</strong> <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR12 Project Label Cu2+xMn1-xGeS4 Sample Label Cu2.3Mn0.7GeS4 Data set Label Cu2.3Mn0.7GeS4-Stannite-PEDT <strong>Instrumental:</strong> Instrument Transmission electron microscope Jeol F200 Radiation source Cold FEG Accelerating voltage 200 kV Wavelength 0.0251 Å Probe Type Microdiffraction Beam Diameter 70nm Beam Convergence Parallel beam, convergence &lt;0.1mrad Detector Hybrid pixel detector ASI Cheetah M3 (bottom mounted) Number of pixels in the image 512 x 512 Pixel size 55 µm x 55 µm Effective camera length 200 mm Calibration constant 0.00 716 Å<sup>-1</sup>/pixel <strong>Sample description:</strong> Name Stannite Chemical composition Cu<sub>2.3</sub>Mn<sub>0.7</sub>GeS<sub>4</sub> Sample preparation Powder crushed on a mortar and dispersed in n-butanol, drop deposited on a Cu grid with holey C film <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method PEDT Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 99 tilt range, tilt step, tilt per frame -35.8° to +61.5°, 1°, 0° Precession angle 1.2° Exposure time per frame 500ms <strong>Software:</strong> Software used for the data collection Instamatic software Software used for processing PETS2 (ver 2.1.20211012.1037) <strong>Authorship and bibliography</strong> Author(s) of the data Sara Passuti (ESR12) Related data Publication(s) Engineering Transport Properties in Interconnected Enargite-Stannite Type Cu2+xMn1-xGeS4 Nanocomposites DOI 10.1002/anie.202210600 <strong>Files and data formats</strong> Image folder raw-data\tiff: Folder containing images of the diffraction pattern from each frames. Image format tiff_16bit Additional folders/files M289.tif : image of the crystal M289-Stannite.pts2 :input file for the program PETS2 used for processing the data <strong>Notes:</strong>
DOI: 10.5281/zenodo.7694857
title: Thermoelectric sample Cu2.3Mn0.7GeS4 - M289 - Stannite phase

description: <strong><em>M289-Stannite</em></strong> The following submission contains the data collection and processing of datasets for the sample M289, with composition Cu2.3Mn0.7GeS4 - Stannite phase, in the framework of the publication: Pavan Kumar, V., Passuti, S., Zhang, B., Fujii, S., Yoshizawa, K., Boullay, P., ... & Guilmeau, E. (2022). Engineering Transport Properties in Interconnected Enargite‐Stannite Type Cu2+ xMn1− xGeS4 Nanocomposites. <em>Angewandte Chemie International Edition</em>, <em>61</em>(49), e202210600. A crystal was identified, and precession data acquisition techniques were used to collect datasets on the same crystal. The data sets were processed with PETS2 software. The table below summarizes the data collection parameters for the data sets. The following data is also included as a text file in the data folder. <strong>Precession:</strong> <strong>General information:</strong> Project NanED (www.naned.eu) ESR Project ESR12 Project Label Cu2+xMn1-xGeS4 Sample Label Cu2.3Mn0.7GeS4 Data set Label Cu2.3Mn0.7GeS4-Stannite-PEDT <strong>Instrumental:</strong> Instrument Transmission electron microscope Jeol F200 Radiation source Cold FEG Accelerating voltage 200 kV Wavelength 0.0251 Å Probe Type Microdiffraction Beam Diameter 70nm Beam Convergence Parallel beam, convergence &lt;0.1mrad Detector Hybrid pixel detector ASI Cheetah M3 (bottom mounted) Number of pixels in the image 512 x 512 Pixel size 55 µm x 55 µm Effective camera length 200 mm Calibration constant 0.00 716 Å<sup>-1</sup>/pixel <strong>Sample description:</strong> Name Stannite Chemical composition Cu<sub>2.3</sub>Mn<sub>0.7</sub>GeS<sub>4</sub> Sample preparation Powder crushed on a mortar and dispersed in n-butanol, drop deposited on a Cu grid with holey C film <strong>Experimental:</strong> Data Type Electron diffraction data - 3D ED Data collection method PEDT Temperature (K) used during data collection 293 K Number of crystals contributing to the data set 1 Number of experimental frames 99 tilt range, tilt step, tilt per frame -35.8° to +61.5°, 1°, 0° Precession angle 1.2° Exposure time per frame 500ms <strong>Software:</strong> Software used for the data collection Instamatic software Software used for processing PETS2 (ver 2.1.20211012.1037) <strong>Authorship and bibliography</strong> Author(s) of the data Sara Passuti (ESR12) Related data Publication(s) Engineering Transport Properties in Interconnected Enargite-Stannite Type Cu2+xMn1-xGeS4 Nanocomposites DOI 10.1002/anie.202210600 <strong>Files and data formats</strong> Image folder raw-data\tiff: Folder containing images of the diffraction pattern from each frames. Image format tiff_16bit Additional folders/files M289.tif : image of the crystal M289-Stannite.pts2 :input file for the program PETS2 used for processing the data <strong>Notes:</strong>
DOI: 10.25451/flinders.22210681
title: Comparison of tutorial group allocation data.csv

description: Near-peer tutoring in ophthalmic optics - comparison of final grades based on tutorial group allocation
DOI: 10.25451/flinders.22210681.v1
title: Comparison of tutorial group allocation data.csv

description: Near-peer tutoring in ophthalmic optics - comparison of final grades based on tutorial group allocation
DOI: 10.6084/m9.figshare.22210660
title: WOB Texture Corruption

description: The dataset used to regression test the World-v0 environment in the WOB platform, see: https://benedictwilkins.github.io/world-of-bugs/ https://github.com/BenedictWilkins/thesis https://github.com/BenedictWilkins/thesis-reproduce
DOI: 10.6084/m9.figshare.22210660.v1
title: WOB Texture Corruption

description: The dataset used to regression test the World-v0 environment in the WOB platform, see: https://benedictwilkins.github.io/world-of-bugs/ https://github.com/BenedictWilkins/thesis https://github.com/BenedictWilkins/thesis-reproduce
DOI: 10.5281/zenodo.7695156
title: High-rate GNSS Raw Doppler Positive Impact on Cascading Filter-based Approach for Improving Real-time Transient Coseismic Velocities Modeling

description: The high-rate GNSS average and instantaneous coseismic velocity waveforms for the 2016 Mw 6.6 Norcia earthquake and the 2011 Mw 9.1 Tohoku earthquake are included in this repository.
DOI: 10.5281/zenodo.7695155
title: High-rate GNSS Raw Doppler Positive Impact on Cascading Filter-based Approach for Improving Real-time Transient Coseismic Velocities Modeling

description: The high-rate GNSS average and instantaneous coseismic velocity waveforms for the 2016 Mw 6.6 Norcia earthquake and the 2011 Mw 9.1 Tohoku earthquake are included in this repository.
DOI: 10.5281/zenodo.7691761
title: DataTest

description: test
DOI: 10.15129/3c4691b7-2f26-42fb-8886-20a7dbbe1d3f
title: Analysis of GLUT4 dispersal in cultured adipocytes

description: Insulin stimulates glucose transport in muscle and adipocytes. This is achieved by regulated delivery of intracellular glucose transporter (GLUT4)-containing vesicles to the plasma membrane where they dock and fuse, resulting in increased cell surface GLUT4 levels. Recent work identified a potential further regulatory step, in which insulin increases the dispersal of GLUT4 in the plasma membrane away from the sites of vesicle fusion. EFR3 is a scaffold protein that facilitates localisation of phosphatidylinositol 4-kinase type IIIalpha to the cell surface. Using direct stochastic reconstruction microscopy, dSTORM, we show that EFR3 knockdown impairs insulin stimulated GLUT4 dispersal in the plasma membrane. Enclosed here are the dSTORM datasets and associated analyses for all experiments, presented as a single folder for each experiment. Please also refer to 'dSTORM imaging files for EFR3.. ' record for additional files and analyses.
DOI: 10.5281/zenodo.7691760
title: DataTest

description: test
DOI: 10.5258/soton/d2520
title: Dataset supporting University of Southampton Doctoral Thesis 'The impacts of nutrient enrichment and skewed nitrogen: phosphorus (N:P) stoichiometries on the skeletal microstructure and geochemistry of zooxanthellate corals'.

description: This data supports University of Southampton Doctoral Thesis 'The impacts of nutrient enrichment and skewed nitrogen: phosphorus (N:P) stoichiometries on the skeletal microstructure and geochemistry of zooxanthellate corals'. The data includes CT scans, mass spectrometry raw data, environmental data and working sheets. Due to the size of the data it is stored offline and is available on request: https://library.soton.ac.uk/datarequest Data will become available at the end of the embargo period after 31.3.25 You can contact joerg.wiedenmann@noc.soton.ac.uk for more information.
DOI: 10.5281/zenodo.7695464
title: GEOLAB - Transnational Access project QC-CEM - Mapping quick clay with geophysical methods

description: Quick clay is characterised by complete collapse and liquid-like mobility when overloaded. Quick clay is found primarily in Norway and Sweden, but also exists in Finland, Russia, Canada and Alaska. Quick clay landslides, with their retrogression characteristics and extreme mobility, pose significant risk to human lives, infrastructure, property and surrounding ecosystems. Hence, the proper characterization of quick clay sites is essential for ensuring the safety and resilience of infrastructure in Norway and elsewhere in Europe.<br> The current practice for mapping quick clay in Norway relies heavily on borehole data with either rotary sounding or total sounding and core samples tested in the laboratory. The only method for identifying quick clay with certainty is physical testing in the laboratory, but it is time-consuming, expensive and gives limited information, i.e., only at the depths and locations where the samples are taken. In Norway, rotary sounding and total soundings are frequently used in mapping of quick clay. There is increasing interest in using geophysical methods such as Electrical Resistivity Tomography (ERT) to supplement the results from soundings, particularly in early stage of ground investigation for mapping of quick clay. ERT is a near surface geophysical method that uses direct current to measure the earth's electrical resistivity. The current is injected into the subsurface through steel electrodes installed 10-20 cm into the ground, and the apparent resistivity distribution along a profile or area is measured. Using data processing and inverse modelling a 2D or 3D resistivity model of the subsurface can be derived.<br> Geophysical methods such as ERT show capability to identify not quick clay such as sand, silt, dry crust, moraine and bed rock reasonably accurate, but the identification of quick clay is still generally limited. The detection of leached clay (thus potentially quick clay) is however possible.<br> Transnational Access project QC-CEM is funded through the 1st call for proposal for the GEOLAB project. This project aims at testing various geophysical methods for their capability for soil characterisation, particularly for detecting quick clay. The objectives of the QC-CEM project are:<br> (i) to test different configurations of Electrical Resistivity Tomography survey for detection of quick clay<br> (ii) to test innovative and efficient electromagnetic based methods for mapping of quick clay. Results from this investigation is not available to share at this stage.<br> (iii) to investigation the effectiveness of cross-interpretation using different geophysical methods for soil characterisation. The results from this activity will be published in open publication after they are processed.