cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7932207
title: Raw output data for "Chemical design of electronic and magnetic energy scales of tetravalent praseodymium materials", DOI: 10.1038/s41467-023-38431-7

description: This repository contains output data from the first-principles calculations reported in the following article: <strong>Authors:</strong> Arun Ramanathan, Jensen Kaplan, Dumitru-Claudiu Sergentu, Jacob A. Branson, Mykhaylo Ozerov, Alexander I. Kolesnikov, Stefan G. Minasian, Jochen Autschbach, John W. Freeland, Zhigang Jiang, Martin Mourigal, Henry S. La Pierre <strong>Title:</strong> Chemical Design of Electronic and Magnetic Energy Scales in Tetravalent Praseodymium <strong>Published in</strong> Nature Communications at: https://doi.org/10.1038/s41467-023-38431-7 <strong>Preprint on</strong> arXiv at: https://doi.org/10.48550/arXiv.2212.10401 <strong>Description:</strong> The archive contains raw output files generated from quantum chemistry calculations conducted using the OpenMolcas program. OpenMolcas is a freely available program that can be accessed at https://gitlab.com/Molcas/OpenMolcas. For specific details about the content of the archive, please refer to the '00README' file included in the archive.
DOI: 10.5281/zenodo.7879911
title: Curvature effects on the structure of near-wall turbulence

description: The results contained in this repository are computed from a database produced with Direct Numerical Simulation of the turbulent incompressible flow in a plane channel with a small concave-convex-concave bump on the bottom wall. The database is documented by Banchetti, Luchini & Quadrio, J. Fluid Mech. 896, A10 (2020).<br> The Reynolds number based on the bulk velocity and on the channel half-height is Re=3173.<br> We provide the two-dimensional mean field as well as all the non-null components of the second-order structure function tensor, and the terms involved in their budget equations, i.e. the Anisotropic Generalised Kolmogorov Equations (AGKE). Further details can be found on the accompanying paper (same title, same authors), currently submitted to the Journal of Fluid Mechanics. The data are provided in VTK format, so that they can be visualised with several applications, as for example the open-source package ParaView. The file mean.vtk contains the mean flow in terms of velocity components and pressure field. The files dudu-Budget.vtk, dvdv-Budget.vtk, dwdw-Budget.vtk, dudv-Budget.vtk and dqdq-Budget.vtk contain the complete set of terms appearing in the budget equations for the non-null components of the second-order structure function tensor, and for its trace, i.e. the AGKE.
DOI: 10.5281/zenodo.7879910
title: Curvature effects on the structure of near-wall turbulence

description: The results contained in this repository are computed from a database produced with Direct Numerical Simulation of the turbulent incompressible flow in a plane channel with a small concave-convex-concave bump on the bottom wall. The database is documented by Banchetti, Luchini & Quadrio, J. Fluid Mech. 896, A10 (2020).<br> The Reynolds number based on the bulk velocity and on the channel half-height is Re=3173.<br> We provide the two-dimensional mean field as well as all the non-null components of the second-order structure function tensor, and the terms involved in their budget equations, i.e. the Anisotropic Generalised Kolmogorov Equations (AGKE). Further details can be found on the accompanying paper (same title, same authors), currently submitted to the Journal of Fluid Mechanics. The data are provided in VTK format, so that they can be visualised with several applications, as for example the open-source package ParaView. The file mean.vtk contains the mean flow in terms of velocity components and pressure field. The files dudu-Budget.vtk, dvdv-Budget.vtk, dwdw-Budget.vtk, dudv-Budget.vtk and dqdq-Budget.vtk contain the complete set of terms appearing in the budget equations for the non-null components of the second-order structure function tensor, and for its trace, i.e. the AGKE.
DOI: 10.6084/m9.figshare.22794788.v1
title: The role of perceptual and action effector strength in the metaphorical processing of mathematical concepts

description: Norms of perceptual strength of some spatial and motion concepts used to metaphorically describe numbers, addition, and subtraction Norms of action effector strength of some spatial and motion concepts used to metaphorically describe numbers, addition, and subtraction Norms of perceptual strength of numbers, addition, and subtraction Norms of action effector strength of numbers, addition, and subtraction Norms of perceptual strength of some spatial and motion concepts used to metaphorically describe limit of function and derivative of function Norms of action effector strength of some spatial and motion concepts used to metaphorically describe limit of function and derivative of function
DOI: 10.6084/m9.figshare.22794788
title: The role of perceptual and action effector strength in the metaphorical processing of mathematical concepts

description: Norms of perceptual strength of some spatial and motion concepts used to metaphorically describe numbers, addition, and subtraction Norms of action effector strength of some spatial and motion concepts used to metaphorically describe numbers, addition, and subtraction Norms of perceptual strength of numbers, addition, and subtraction Norms of action effector strength of numbers, addition, and subtraction Norms of perceptual strength of some spatial and motion concepts used to metaphorically describe limit of function and derivative of function Norms of action effector strength of some spatial and motion concepts used to metaphorically describe limit of function and derivative of function
DOI: 10.5281/zenodo.7932331
title: IEK3STE Model bridge matrices

description: To make the hybrid energy-economy-environment model, IEK3STE, operational, a number of bridge matrices are required. These bridge matrices are presented in aggregate form in the file provided. The first worksheet, named aggregate bridge, outlines the bridge between the energy systems model and the Input-Output (IO) model in an aggregate format. This conversion process maps the 54 energy system sectors and technologies to the relevant 163 IO sectors. The second worksheet, sector import quota, displays the standard import quota used in the model. The third worksheet, product import shock, outlines the assumed import shares for the base version of the model. These assumed import shares are in addition to the previously imposed sector import quota.
DOI: 10.5281/zenodo.7932330
title: IEK3STE Model bridge matrices

description: To make the hybrid energy-economy-environment model, IEK3STE, operational, a number of bridge matrices are required. These bridge matrices are presented in aggregate form in the file provided. The first worksheet, named aggregate bridge, outlines the bridge between the energy systems model and the Input-Output (IO) model in an aggregate format. This conversion process maps the 54 energy system sectors and technologies to the relevant 163 IO sectors. The second worksheet, sector import quota, displays the standard import quota used in the model. The third worksheet, product import shock, outlines the assumed import shares for the base version of the model. These assumed import shares are in addition to the previously imposed sector import quota.
DOI: 10.34740/kaggle/dsv/5675050
title: 🇺🇦 Ukraine Conflict Twitter Dataset
DOI: 10.34740/kaggle/dsv/5675098
title: AutoXGB
DOI: 10.34740/kaggle/dsv/5675084
title: Health Workforce Shortage Areas
DOI: 10.5281/zenodo.7932357
title: South Sudan OAE Data

description: The age-specific OAE data from South Sudan have been used to estimate parameters of new OnNCHOSIM-OAE model, published in PLoS Neglected Tropical Disease.
DOI: 10.5281/zenodo.7932356
title: South Sudan OAE Data

description: The age-specific OAE data from South Sudan have been used to estimate parameters of new OnNCHOSIM-OAE model, published in PLoS Neglected Tropical Disease.
DOI: 10.6084/m9.figshare.22815713
title: Prevalence of <em>Helicobacter pylori</em> infection in dyspeptic patients presenting to a tertiary care center of a developing country

description: This is an original cross-sectional study conducted in a hospital setting.
DOI: 10.25345/c5s756w03
title: MassIVE MSV000091932 - Ribosome associated proteins of functional ribosomes from murine spermatocytes and round spermatids
title: Murine spermatocytes and round spermatids were isolated by STA-PUT method (J Vis Exp. 2013; (80): 50648.). In order to avoid contamination of nuclear ribosomal subunits and proteins, cytoplasm fractions were extracted by REAP method(BMC Res Notes 3, 294 (2010).) right after cell collection. Immunoprecipitation of functional ribosomes was performed by targeting Rpl36 with the corresponding antibody (Bethyl Laboratories, A305065A). This procedure to capture functional ribosomes was supported by a previous publication (Cell . 2017 Jun 1;169(6):1051-1065.e18.). Rabbit IgG (Cell Signalling Technology, #2729) was used as the negative control. Quantitative mass spectrometry analyses were performed by TMT10plex Isobaric Label Reagents and Kits (Thermo Scientific, 90110).
DOI: 10.6069/r6by-8y54
title: Global Burden of Disease Study 2019 (GBD 2019) Human Resources for Health 1990-2019

description: The Global Burden of Disease Study 2019 (GBD 2019), coordinated by the Institute for Health Metrics and Evaluation (IHME), estimated the burden of diseases, injuries, and risk factors for 204 countries and territories and selected subnational locations. A GBD 2019 analysis also produced estimates for health workforce densities for 204 countries and territories from 1990–2019. Data used come from WHO’s Global Health Observatory and cross-sectional surveys and censuses that sampled general working-age populations (defined as ages 15–69) in which respondents self-reported employment status and current occupation. Employment and occupation data were mapped to the International Standard Classification of Occupations (ISCO) 88. This dataset includes annual estimates by location for health workforce densities per 10,000 employed individuals for 23 health worker cadres.
DOI: 10.5066/p9rc8eie
title: Geographic distribution of black mangrove (Avicennia germinans) in coastal Louisiana in 2009

description: Black mangrove (Avicennia germinans (L.) L.) has historically occurred along the Louisiana coast in saline wetland habitats, but its distribution has been sparse. Mangroves are tropical to semi-tropical species and their distribution is limited by freezing temperatures. Black mangrove distribution and abundance has increased and decreased in the coastal zone of Louisiana according to freeze frequency and duration and concomitant freeze damage and dieback or lack thereof. In 2009, a fixed wing aircraft was used to conduct an aerial cruise census of the entire coastal area of Louisiana to document and map the total distribution of mangroves in the state.
DOI: 10.17632/jf3pv98m9g.1
title: A dataset of DDH x-ray images

description: The hip X-ray images (in anteroposterior view) were collected locally at King Abdullah University Hospital, Jordan University of Science and Technology, Irbid, Jordan and at Alsafa specialized hospital, Jarash, Jordan . The dataset used in the relevant research article included 354 subjects (120 DDH, 234 normal) .  The images are available in  sizes suitable for various deep learning models (e.g., [227 227 3])
DOI: 10.5281/zenodo.7607564
title: TCOM-HF : Daily global gap-free stratospheric hydrogen fluoride (HF) profile data set based on TOMCAT CTM and Occultation Measurements

description: <strong>Methodology: TOMCAT simulation is performed at T64L32 resolution for the 1991-2021 time period. Collocated hydrogen fluoride (HF) profiles are divided in five latitude bins: SH polar (90S-50S), SH mid-lat (70S-20S), tropics (40S-40N), NH mid-lat (20N-70N) and NH polar (50N-90N). Initially, model-measurement differences are calculated for each zonal bins (46 height levels, 15km to 60km). Separate XGBoost regression models are trained for the differences between TOMCAT and measurements at each level for a given latitude bin. XGBoost model is then used to estimate error corrections for all the TOMCAT grids ( day/night, 2 X11323 time steps). TOMCAT output sampled at 1.30 am and 1.30 pm local time at the equator. Estimated corrections for a given model grid that are added to the original TOMCAT simulated day and night time hydrogen fluoride profiles. Height resolved data are then interpolated on 28-pressure levels (300 - 0.1hPa). For overlapping latitude bins, we use averages and then calculate daily zonal mean values. For more details see attached presentation.</strong> <strong>Dataset also includes two files containing daily mean zonal mean hydrogen fluoride profiles on height (15-60 km) and pressure (300-0.1 hPa) levels:</strong> <strong>zmhf_TCOM_hlev_T2Dz_1991_2021.nc – height level data (15 to 60 km)</strong> <strong>zmhf_TCOM_plev_T2Dz_1991_2021.nc – pressure level data (300 to 0.1 hPa)</strong> <strong>Daily 3D profiles on height and pressure levels would be made available on request.</strong>
description: This work was supported by the NERC SISLAC (NE/R001782/1) and LSO3 (NE/V0011863/1) projects
DOI: 10.5281/zenodo.7912904
title: TCOM-H2O: TOMCAT CTM and Occultation Measurements based daily zonal stratospheric H2O profile dataset [1991-2021] constructed using machine-learning.

description: Methodology: TOMCAT simulation is performed at T64L32 resolution that is similar to the one used in Dhomse et al., (2021, 2022) for 1991-2021 time period. Simulations are performed using ERA-5 reanalysis data. Collocated H2O profiles are divided in five latitude bins: SH polar (90S-50S), SH mid-lat (70S-20S), tropics (40S-40N), NH mid-lat (20N-70N) and NH polar (50N-90N). Initially, differences between TOMCAT and satellite measurements are calculated for each zonal bins for 46 height levels (15km to 60km). A separate XGBoost regression models are trained for the H2O differences at each level for a given latitude bin. These trained XGBoost models are used to estimate H2O bias correction for all day/night-time (2 X11323 days) TOMCAT grids sampled at 1.30 am and 1.30 pm local time at the equator. This way we get bias corrections for a given model grid that are added to the original TOMCAT day and night time profiles. Height resolved H2O profile data are then interpolated on 28-pressure levels (300 - 0.1hPa), using pressure levels at TOMCAT grids. For overlapping latitude bins, we use averages and then calculate daily zonal mean values, to get somewhat smoother fields near the boundaries. For more details see attached presentation. Dataset also includes two files containing daily mean zonal mean H2O profiles on height (15-60 km) and pressure (300-0.1 hPa) levels: zmh2o_TCOM_hlev_T2Dz_1991_2021.nc – height level data (15 to 60 km) zmh2o_TCOM_plev_T2Dz_1991_2021.nc – pressure level data (300 to 0.1 hPa) We are aware of the dry biases in original TOMCAT H2O profiles as TTL entry mixing ratios are fixed for all the model time step. Therefore, H2O enhancement due to tropical convective clouds is absent in our model. A methodology description paper (for TCOM-CH4 and TCOM-N2O data) is under review in ESSD Dhomse, S. S. and Chipperfield, M. P.: Using machine-learning to construct TOMCAT model and occultation measurement-based stratospheric methane (TCOM-CH4) and nitrous oxide (TCOM-N2O) profile data sets, Earth Syst. Sci. Data Discuss. [preprint], https://doi.org/10.5194/essd-2023-47, in review, 2023
description: This work was supported by the NERC SISLAC (NE/R001782/1) and LSO3 (NE/V0011863/1) project.
DOI: 10.6084/m9.figshare.21080470.v5
title: Effects of secondary carbonate precipitation and dissolution on Changjiang (Yangtze) river chemistry and estimates of silicate weathering rates

description: Supporting data of Li et al., Global Biogeochemical cycles
DOI: 10.5281/zenodo.7930195
title: Buddhist Landscapes in Central India

description: Julia Shaw, <em>Buddhist Landscapes in Central India</em> (London: SSAS, 2007), figures. Excavations (Archaeology) -- India -- Sānchi Site.<br> Buddhist art and symbolism -- India -- Sānchi Site.<br> Buddhist art and symbolism.<br> Excavations (Archaeology)<br> Sānchi Site (India)<br> India -- Sānchi Sites.
DOI: 10.5281/zenodo.7930194
title: Buddhist Landscapes in Central India

description: Julia Shaw, <em>Buddhist Landscapes in Central India</em> (London: SSAS, 2007), figures. Excavations (Archaeology) -- India -- Sānchi Site.<br> Buddhist art and symbolism -- India -- Sānchi Site.<br> Buddhist art and symbolism.<br> Excavations (Archaeology)<br> Sānchi Site (India)<br> India -- Sānchi Sites.
DOI: 10.6084/m9.figshare.21080470.v6
title: Effects of secondary carbonate precipitation and dissolution on Changjiang (Yangtze) river chemistry and estimates of silicate weathering rates

description: Supporting data of Li et al., Global Biogeochemical cycles
DOI: 10.57841/casdc.0000585
title: 盾构机主轴承制造数据集
DOI: 10.5281/zenodo.7875965
title: Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps

description: <strong>Title:</strong> Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps <strong>Citation:</strong> Seeger, K.; Minderhoud, P. S. J., Peffeköver, A., Vogel, A., Brückner, H., Kraas, F., Nay Win Oo, Brill, D. (2023): Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps. Zenodo, https://doi.org/10.5281/zenodo.7875965. <strong>Supplement to:</strong> Seeger, K., Minderhoud, P. S. J., Peffeköver, A., Vogel, A., Brückner, H., Kraas, F., Nay Win Oo, and Brill, D. (2023): Assessing land elevation in the Ayeyarwady Delta (Myanmar) and its relevance for studying sea level rise and delta flooding. EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1425. <strong>Abstract:</strong> The local digital elevation model (DEM) of the Ayeyarwady Delta, referred to as AD-DEM, was generated based on elevation data of topographic maps at scale of 1:50,000 published in 2014 while source data was compiled between 2000 and 2004. Empirical Bayesian Kriging with empirical data transformation and exponential modelling was applied to interpolate ~5100 elevation points (spot heights) and ~13600 elevation points extracted from contour data of the topographic maps. Elevation values higher than 10 m were excluded from interpolation and the SRTM water body mask created in 2000 was applied to the processed AD-DEM. The AD-DEM was transformed from its original vertical reference of local mean sea level at Kyaikkhami tide gauge to continuous mean sea level based on the mean dynamic topography data (CNES-CLS18 dataset of Mulet et al. (2021; https://doi.org/10.5194/os-17-789-2021) that we transposed to EGM96) in order to account for sea level variations along the Myanmar coast. The AD-DEM contains itself some uncertainty due to the lack of evenly distributed spot heights in areas of the upper delta, for which a separate shapefile is provided. However, we highlight to consider the AD-DEM as being the currently best available model against the background of the lacking possibility of ground truthing and being independent from satellite-based measurements. For further information on data processing, including DEM interpolation, determination of local mean sea level and vertical datum conversions, as well as DEM performance, see the corresponding paper and supplementary material. File name: ADDEM_Con250m_lesseq10_MDT_AD_MMR2000_masked_maskedSRTM.tif File format: GEOTIFF file Spatial reference: MMR2000_46N Vertical reference: local continuous mean sea level, i.e., mean dynamic topography (CNES-CLS18 dataset of Mulet et al. (2021; https://doi.org/10.5194/os-17-789-2021) transposed to EGM96 Cell size: 750 × 750 m File name: DataPoorAreas_MMR2000.shp File format: ESRI Shapefile Spatial reference: MMR2000_46N
DOI: 10.5281/zenodo.7875964
title: Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps

description: <strong>Title:</strong> Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps <strong>Citation:</strong> Seeger, K.; Minderhoud, P. S. J., Peffeköver, A., Vogel, A., Brückner, H., Kraas, F., Nay Win Oo, Brill, D. (2023): Local digital elevation model for the Ayeyarwady Delta in Myanmar (AD-DEM) derived from digitised spot and contour heights of topographic maps. Zenodo, https://doi.org/10.5281/zenodo.7875965. <strong>Supplement to:</strong> Seeger, K., Minderhoud, P. S. J., Peffeköver, A., Vogel, A., Brückner, H., Kraas, F., Nay Win Oo, and Brill, D. (2023): Assessing land elevation in the Ayeyarwady Delta (Myanmar) and its relevance for studying sea level rise and delta flooding. EGUsphere [preprint], https://doi.org/10.5194/egusphere-2022-1425. <strong>Abstract:</strong> The local digital elevation model (DEM) of the Ayeyarwady Delta, referred to as AD-DEM, was generated based on elevation data of topographic maps at scale of 1:50,000 published in 2014 while source data was compiled between 2000 and 2004. Empirical Bayesian Kriging with empirical data transformation and exponential modelling was applied to interpolate ~5100 elevation points (spot heights) and ~13600 elevation points extracted from contour data of the topographic maps. Elevation values higher than 10 m were excluded from interpolation and the SRTM water body mask created in 2000 was applied to the processed AD-DEM. The AD-DEM was transformed from its original vertical reference of local mean sea level at Kyaikkhami tide gauge to continuous mean sea level based on the mean dynamic topography data (CNES-CLS18 dataset of Mulet et al. (2021; https://doi.org/10.5194/os-17-789-2021) that we transposed to EGM96) in order to account for sea level variations along the Myanmar coast. The AD-DEM contains itself some uncertainty due to the lack of evenly distributed spot heights in areas of the upper delta, for which a separate shapefile is provided. However, we highlight to consider the AD-DEM as being the currently best available model against the background of the lacking possibility of ground truthing and being independent from satellite-based measurements. For further information on data processing, including DEM interpolation, determination of local mean sea level and vertical datum conversions, as well as DEM performance, see the corresponding paper and supplementary material. File name: ADDEM_Con250m_lesseq10_MDT_AD_MMR2000_masked_maskedSRTM.tif File format: GEOTIFF file Spatial reference: MMR2000_46N Vertical reference: local continuous mean sea level, i.e., mean dynamic topography (CNES-CLS18 dataset of Mulet et al. (2021; https://doi.org/10.5194/os-17-789-2021) transposed to EGM96 Cell size: 750 × 750 m File name: DataPoorAreas_MMR2000.shp File format: ESRI Shapefile Spatial reference: MMR2000_46N
DOI: 10.25921/wd7y-rw49
title: Reson7125 Water Column Sonar Data Collected During NF1604
DOI: 10.25921/wzyx-bv52
title: EM2040 Water Column Sonar Data Collected During NF2201