cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4459258
title: Kittel et al. (2021), The Cryosphere : MAR and ESMs data

description: Outputs used in: <em>Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere https://doi.org/10.5194/tc-2020-291,2021.</em> MAR outputs with yearly values of SMB and components over the Antarctic ice sheet (1980--2100) Grid file used in MAR simulations ESM and GCM yearly near-surface temperature over 1960--2100 (as downloaded from the ESGF nodes) <br> Associated daily datasets:<br> MAR(ACCESS1.3): 10.5281/zenodo.4525735<br> MAR(NorESM1-M): 10.5281/zenodo.4528998<br> MAR(CESM2): 10.5281/zenodo.4529002<br> MAR(CNRM-CM6-1): 10.5281/zenodo.4529004<br> <br> <br> If you need other variables or output frequencies from MAR, write me (c2kittel@gmail.com) and I will be glad to help you. I will also be happy to share the scripts I have developed to analyse the outputs and make the figures in this paper if needed. Please cite the paper if you use these MAR outputs.<br> <br> Data usage notice: If you use any of these results, please acknowledge the work of the people involved in producing them. Acknowledgements should have language similar to the below that contained both informations related to MAR and CMIP5/6. In order to document MAR scientific impact and enable ongoing support of the model, users are likely encouraged to contact C. Kittel to add their works in the list of MAR-related publications. "We thank C. Kittel and the MAR team which make available the model outputs, as well agencies (F.R.S - FNRS, CÉCI, and the Walloon Region) that provided computational resources for MAR simulations. We acknowledge the World Climate Research Programme, which, through it's Working Group on Coupled Modelling, coordinated and promoted CMIP5 and CMIP6. We thank the climate modeling groups for producing and making available their model output, the Earth System Grid Federation (ESGF) for archiving the CMIP data and providing access, and the multiple funding agencies who support CMIP5 and CMIP6 and ESGF. " You should also refer to and cite the following paper: Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-291, accepted, 2020.
description: {"references": ["Kittel, C., Amory, C., Agosta, C., Jourdain, N. C., Hofer, S., Delhasse, A., Doutreloup, S., Huot, P.-V., Lang, C., Fichefet, T., and Fettweis, X.: Diverging future surface mass balance between the Antarctic ice shelves and grounded ice sheet, The Cryosphere Discuss. [preprint], https://doi.org/10.5194/tc-2020-291, in review, 2020."]}
DOI: 10.5281/zenodo.4895864
title: GPS-IR measurements of ground surface elevation changes, surface soil moisture, and snow depth at a permafrost site in northeastern Qinghai-Tibet Plateau

description: This dataset contains the Global Positioning System interferometric reflectometry (GPS-IR) measurements of ground surface elevation changes and surface soil moisture within the layer of 0–5 cm depth during the day of year (DOY) 182–243 in 2018 and snow depth during DOY 112–156 in 2017 at a permafrost site in northeastern Qinghai-Tibet Plateau. At this site, an integrated weather station exists, which records soil moisture and ground temperature at various depths and other meteorological variables, e.g., precipitation and wind speed. If you are interested in those observations, please refer to the following paper as <em>Che, T., Li, X., Liu, S., Li, H., Xu, Z., Tan, J., Zhang, Y., Ren, Z., Xiao, L., Deng, J., Jin, R., Ma, M., Wang, J., & Yang, X. (2019). Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China. Earth System Science Data, 11, 1483-1499</em>.
DOI: 10.5281/zenodo.4895863
title: GPS-IR measurements of ground surface elevation changes, surface soil moisture, and snow depth at a permafrost site in northeastern Qinghai-Tibet Plateau

description: This dataset contains the Global Positioning System interferometric reflectometry (GPS-IR) measurements of ground surface elevation changes and surface soil moisture within the layer of 0–5 cm depth during the day of year (DOY) 182–243 in 2018 and snow depth during DOY 112–156 in 2017 at a permafrost site in northeastern Qinghai-Tibet Plateau. At this site, an integrated weather station exists, which records soil moisture and ground temperature at various depths and other meteorological variables, e.g., precipitation and wind speed. If you are interested in those observations, please refer to the following paper as <em>Che, T., Li, X., Liu, S., Li, H., Xu, Z., Tan, J., Zhang, Y., Ren, Z., Xiao, L., Deng, J., Jin, R., Ma, M., Wang, J., & Yang, X. (2019). Integrated hydrometeorological, snow and frozen-ground observations in the alpine region of the Heihe River Basin, China. Earth System Science Data, 11, 1483-1499</em>.
DOI: 10.6084/m9.figshare.14694879
title: Plant and soil nitrogen in oligotrophic boreal forest habitats with varying moss depths: does exclusion of large grazers matter?"

description: These data accompany the article "Plant and soil nitrogen in oligotrophic boreal forest habitats with varying moss depths: does exclusion of large grazers matter?" published in Oecologia (doi: 10.1007/s00442-021-04957-0).<br>
DOI: 10.5281/zenodo.4896259
title: Supplementary data

description: Supplementary files that provide provide additional information with regards to the analyses performed in the context of my master's thesis project.
DOI: 10.6084/m9.figshare.14723568
title: Geochemical and C-O isotopic study of ophiolite-derived carbonates of the Barzaman Formation, Oman: Evidence of natural CO2 sequestration via carbonation of ultramafic clasts

description: Major, trace, and REE data obtained by ICP-OES and ICP-MS techniques for carbonate rocks from the Barzaman Formation in Oman. C-O isotope data obtained by IRMS technique are also included for a model to determine the amount of CO2 stored by a carbonate sample precipitated via alteration of the Oman Ophiolite.
DOI: 10.5281/zenodo.4804489
title: Multiscale Reweighted Stochastic Embedding (MRSE): Deep Learning of Collective Variables for Enhanced Sampling [PLUMED Egg]

description: PLUMED egg (https://www.plumed-nest.org/) with data supporting the results of *Multiscale Reweighted Stochastic Embedding (MRSE): Deep Learning of Collective Variables for Enhanced Sampling*, arXiv: 2007.06377, 2021.
DOI: 10.5281/zenodo.4804488
title: Multiscale Reweighted Stochastic Embedding (MRSE): Deep Learning of Collective Variables for Enhanced Sampling [PLUMED Egg]

description: PLUMED egg (https://www.plumed-nest.org/) with data supporting the results of *Multiscale Reweighted Stochastic Embedding (MRSE): Deep Learning of Collective Variables for Enhanced Sampling*, arXiv: 2007.06377, 2021.
DOI: 10.5281/zenodo.4892800
title: Dutch Historical Word2Vec models

description: <strong>Introduction</strong> The repository contains Word2Vec models trained on Dutch historical newspaper data converting the period from 1840 to 1890. Models were created as part of a Research-in-Residence at the Dutch National Library. During my residency, I created language models trained on specific subsections of the newspaper corpus, to explore bias over time and by place or political leaning. To read more about this project, please read the introductory blog post. <strong>Code</strong> The code used for training the models is available on Github. Please look at the README for more instruction. <strong>Warning: </strong>the raw text data used was provided by Mirjam Cuper of the KB and is available only on request. Some code for loading and exploring the models is also available on Github. For more information on <strong>interactive lexicon creation using these models</strong>, go to this README. For more information on exploring <strong>bias on these model</strong>, go to this README. <strong>Models</strong> Models are available in zip files, one for each decade. We trained models using a window size of twenty years and a step size of five. The structure of the file names is as follows: <strong>{year_start}-{year_end}-{attribute}.w2v.model .</strong> For example <strong>1840-1860-Protestant.w2v.model</strong> is trained on all article published in protestant newspapers between 1840 and 1860. The <strong>attribute</strong> value is chosen from either the <strong>Politiek</strong> (political leaning) or <strong>Provincie</strong> (province) column in this metadata file.
DOI: 10.5281/zenodo.4892799
title: Dutch Historical Word2Vec models

description: <strong>Introduction</strong> The repository contains Word2Vec models trained on Dutch historical newspaper data converting the period from 1840 to 1890. Models were created as part of a Research-in-Residence at the Dutch National Library. During my residency, I created language models trained on specific subsections of the newspaper corpus, to explore bias over time and by place or political leaning. To read more about this project, please read the introductory blog post. <strong>Code</strong> The code used for training the models is available on Github. Please look at the README for more instruction. <strong>Warning: </strong>the raw text data used was provided by Mirjam Cuper of the KB and is available only on request. Some code for loading and exploring the models is also available on Github. For more information on <strong>interactive lexicon creation using these models</strong>, go to this README. For more information on exploring <strong>bias on these model</strong>, go to this README. <strong>Models</strong> Models are available in zip files, one for each decade. We trained models using a window size of twenty years and a step size of five. The structure of the file names is as follows: <strong>{year_start}-{year_end}-{attribute}.w2v.model .</strong> For example <strong>1840-1860-Protestant.w2v.model</strong> is trained on all article published in protestant newspapers between 1840 and 1860. The <strong>attribute</strong> value is chosen from either the <strong>Politiek</strong> (political leaning) or <strong>Provincie</strong> (province) column in this metadata file.
DOI: 10.6084/m9.figshare.13385834
title: Psychological and Psychophysiological Effects of Music Intensity and Lyrics on Simulated Urban Driving

description: To investigate the effect of musical characteristics (i.e., presence of lyrics and loudness) during simulated urban driving. Previous work has seldom isolated musical characteristics and examined these both singularly and interactively. We investigated the potentially distracting effects of processing lyrics through exposing young drivers to the same piece of music with/without lyrics and at different sound intensities (60 dBA [soft] and 75 dBA7 [loud]) using a counterbalanced, within-subjects design (N = 34; Mage = 22.2 years, SD = 2.0 years). Six simulator conditions were included that comprised low-intensity music with/without lyrics, high-intensity music with/without lyrics plus two controls – ambient incar noise and spoken lyrics. Between-subjects variables of driving style (defensive vs. assertive) and sex (women vs. men) were explored. A key finding was that the no lyrics/soft condition yielded lower affective arousal scores when compared to the other musicconditions. There was no main effect of condition for HRV data (SDNN and RMSSD). Exploratory analyses showed that, for assertive drivers, NASA-TLX Performance scores were lower in the no lyrics/soft condition compared to the lyrics/loud condition. Moreover,women exhibited higher mean heart rate than men in the presence of lyrics. Although some differences emerged in subjective outcomes, these were not replicated in HRV, which wasused as an objective index of emotionality. Drivers should consider the use of soft, non19lyrical music to optimise their affective state during urban driving.
DOI: 10.5281/zenodo.4694550
title: Data for publication: "Isolating large-scale smoke impacts on cloud and precipitation processes over the Amazon with convection permitting resolution"

description: Data and scripts for generating figures from the paper "Isolating large-scale smoke impacts on cloud and precipitation processes over the Amazon with convection permitting resolution" accepted for publication in JGR: Atmospheres in June 2021. The scripts are written in a jupyter lab book. Netcdf files for generating the figures are included as a tar file. Once relevant python modules have been installed the only thing that needs to be updated is the directory locations of the netcdf files and the output file. The original methods for manipulating the ICON model output are intact within the scripts.
DOI: 10.5281/zenodo.4445779
title: Data for publication: "Isolating large-scale smoke impacts on cloud and precipitation processes over the Amazon with convection permitting resolution"

description: Data and scripts for generating figures from the paper "Isolating large-scale smoke impacts on cloud and precipitation processes over the Amazon with convection permitting resolution" accepted for publication in JGR: Atmospheres in June 2021. The scripts are written in a jupyter lab book. Netcdf files for generating the figures are included as a tar file. Once relevant python modules have been installed the only thing that needs to be updated is the directory locations of the netcdf files and the output file. The original methods for manipulating the ICON model output are intact within the scripts.
DOI: 10.5281/zenodo.4883440
title: Images F480 staining on liver (part2)

description: F480 staining on mice liver
DOI: 10.5281/zenodo.4883439
title: Images F480 staining on liver (part2)

description: F480 staining on mice liver
DOI: 10.5517/ccdc.csd.cc26f921
title: CCDC 2038562: Experimental Crystal Structure Determination

description: Related Article: Peng Tao, Xiao-Kang Zheng, Xiao-Zhen Wei, Mei-Tung Lau, Yuk-Ki Lee, Zi-Kang Li, Ze-Ling Guo, Fang-Qing Zhao, Xing Liu, Shu-Juan Liu, Qiang Zhao, Yan-Qin Miao, Wai-Yeung Wong|2021|Mat.Today.Energy|21|100773|doi:10.1016/j.mtener.2021.100773
DOI: 10.5517/ccdc.csd.cc26f932
title: CCDC 2038563: Experimental Crystal Structure Determination

description: Related Article: Peng Tao, Xiao-Kang Zheng, Xiao-Zhen Wei, Mei-Tung Lau, Yuk-Ki Lee, Zi-Kang Li, Ze-Ling Guo, Fang-Qing Zhao, Xing Liu, Shu-Juan Liu, Qiang Zhao, Yan-Qin Miao, Wai-Yeung Wong|2021|Mat.Today.Energy|21|100773|doi:10.1016/j.mtener.2021.100773
DOI: 10.24381/cds.85a8f66e
title: Earth's radiation budget from 1979 to present derived from satellite observations
DOI: 10.6084/m9.figshare.13136069
title: populations.snps.vcf

description: SNPs data for Achondrostoma salmantinum<br>
DOI: 10.6084/m9.figshare.13136069.v1
title: populations.snps.vcf

description: SNPs data for Achondrostoma salmantinum<br>
DOI: 10.5281/zenodo.4892673
title: Causal coupling inference from multivariate time series based on ordinal partition transition networks - Microelectrode array recording.

description: This dataset contains the original microelectrode array recording used for the link publication. The HERMES_OPT_meta.pdf file contains the following information: - dataset structure and content, including file naming structure - brief description of the acquisition system, the biological sample used (more details provided in the linked publication) The dataset is uploaded as compressed folders in *.7z format. 7-Zip is a freeware, and can be downloaded at this link: https://www.7-zip.org/download.html
description: {"references": ["Narayan Puthanmadam Subramaniyam, Reik V. Donner, Davide Caron, Gabriella Panuccio, Jari Hyttinen. Causal coupling inference from multivariate time series based on ordinal partition transition networks."]}
DOI: 10.5281/zenodo.4892672
title: Causal coupling inference from multivariate time series based on ordinal partition transition networks - Microelectrode array recording.

description: This dataset contains the original microelectrode array recording used for the link publication. The HERMES_OPT_meta.pdf file contains the following information: - dataset structure and content, including file naming structure - brief description of the acquisition system, the biological sample used (more details provided in the linked publication) The dataset is uploaded as compressed folders in *.7z format. 7-Zip is a freeware, and can be downloaded at this link: https://www.7-zip.org/download.html
description: {"references": ["Narayan Puthanmadam Subramaniyam, Reik V. Donner, Davide Caron, Gabriella Panuccio, Jari Hyttinen. Causal coupling inference from multivariate time series based on ordinal partition transition networks."]}
DOI: 10.6084/m9.figshare.14723883
title: Processed_Model_Data.zip

description: Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invasive laboratory and noninvasive clinical and demographic data from patients’ day of admission. Three Support Vector Machine (SVM) models were developed and compared using invasive, non-invasive, and both groups. The results suggested that non-invasive features could provide mortality predictions that are similar to the invasive and roughly on par with the joint model. Feature inspection results from SVM-RFE and sparsity analysis displayed that, compared with the invasive model, the non-invasive model can provide better performances with a fewer number of features, pointing to the presence of high predictive information contents in several non-invasive features, including SPO<sub>2</sub>, age, and cardiovascular disorders. Furthermore, while the invasive model was able to provide better mortality predictions for the imminent future, non-invasive features displayed better performance for more distant expiration intervals. Early mortality prediction using non-invasive models can give us insights as to where and with whom to intervene. Combined with novel technologies, such as wireless wearable devices, these models can create powerful frameworks for various medical assignments and patient triage.
DOI: 10.6084/m9.figshare.14723883.v1
title: Processed_Model_Data.zip

description: Early prediction of patient mortality risks during a pandemic can decrease mortality by assuring efficient resource allocation and treatment planning. This study aimed to develop and compare prognosis prediction machine learning models based on invasive laboratory and noninvasive clinical and demographic data from patients’ day of admission. Three Support Vector Machine (SVM) models were developed and compared using invasive, non-invasive, and both groups. The results suggested that non-invasive features could provide mortality predictions that are similar to the invasive and roughly on par with the joint model. Feature inspection results from SVM-RFE and sparsity analysis displayed that, compared with the invasive model, the non-invasive model can provide better performances with a fewer number of features, pointing to the presence of high predictive information contents in several non-invasive features, including SPO<sub>2</sub>, age, and cardiovascular disorders. Furthermore, while the invasive model was able to provide better mortality predictions for the imminent future, non-invasive features displayed better performance for more distant expiration intervals. Early mortality prediction using non-invasive models can give us insights as to where and with whom to intervene. Combined with novel technologies, such as wireless wearable devices, these models can create powerful frameworks for various medical assignments and patient triage.
DOI: 10.5281/zenodo.4896450
title: Calculation of integrals and related data. Appendix to the paper «The electromagnetic field outside the steadily rotating relativistic uniform system»

description: There is 14 files with detailed description of integrals and related data used in the paper «The electromagnetic field outside the steadily rotating relativistic uniform system».
DOI: 10.5281/zenodo.4308209
title: Calculation of integrals and related data. Appendix to the paper «The electromagnetic field outside the steadily rotating relativistic uniform system»

description: There is 14 files with detailed description of integrals and related data used in the paper «The electromagnetic field outside the steadily rotating relativistic uniform system».
DOI: 10.6084/m9.figshare.14331092
title: Physical Activity Behaviors and Mental Well-Being Under COVID-19 Lockdown: A Cross-Sectional Multination Study

description: <b>Background: </b>COVID-19 lockdowns have reduced opportunities for physical activity (PA) and encouraged more sedentary lifestyles. A concomitant of sedentariness is compromised mental health. We investigated the effects of COVID-19 lockdown on PA, sedentary behavior, and mental health across four Western nations (USA, UK, France, and Australia).<b>Methods:</b><i> </i>An online survey was administered in the second quarter of 2020 (<i>N </i>= 2,541). We measured planned and unplanned dimensions of PA using the Brunel Lifestyle Physical Activity Questionnaire and mental health using the 12-item General Health Questionnaire. Steps per day were recorded only from participants who used an electronic device for this purpose, and sedentary behavior was reported in hours per day (sitting and screen time). <b>Results:</b> In the USA and Australia samples, there was a significant decline in planned PA from pre- to during lockdown. Among young adults, Australians exhibited the lowest planned PA scores, while in middle-aged groups, the UK recorded the highest. Young adults exhibited the largest reduction in unplanned PA. Across nations, there was a reduction of ~2000 steps per day. Large increases in sedentary behavior emerged during lockdown, which were most acute in young adults. Lockdown was associated with a decline in mental health that was more pronounced in women.<b>Conclusions:</b><i> </i>The findings illustrate the deleterious effects of lockdown on PA, sedentary behavior, and mental health across four Western nations. Australian young and lower middle-aged adults appeared to fare particularly badly in terms of planned PA. The reduction in steps per day is equivalent to the non-expenditure of ~100 kcal. Declines in mental health show how harmful lockdowns can be for women in particular.
DOI: 10.5281/zenodo.4896452
title: EMUE-D4-4-TransformerPowerLoadLoss

description: In this example, the evaluation of measurement uncertainty of power transformer losses are given. It is shown how this evaluation can be performed using the law of propagation of uncertainty from the “Guide to the expression of uncertainty in measurement” (GUM) as well as the propagation of distributions using the Monte Carlo method from GUM Supplement 1 (GUM-S1). It is shown how the approach using the Monte Carlo method can be used to validate the output from the law of propagation of uncertainty from the GUM. Files contained in the dataset: A2.2.4_Power_Load_Loss.pdf: report, A2.2.4_Power_Load_Loss.tex: LaTeX file to be compiled in order to produce “A2.2.4_Power_Load_Loss.pdf”, Compendium.bib: bibliography file, A224.bib: bibliography file, EMPIR.jpg: figure file, EMUELogo-03.jpg: figure file, EurametLogo.png: figure file, A224_Monte_Carlo_method.R: R-script developed for implementing the Monte Carlo method (GUM Supplement 1)