cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc28668z
title: CCDC 2091330: Experimental Crystal Structure Determination

description: Related Article: Michael Wiesinger, Bastian Rösch, Christian Knüpfer, Jonathan Mai, Jens Langer, Sjoerd Harder|2021|Eur.J.Inorg.Chem.|2021|3731|doi:10.1002/ejic.202100529
DOI: 10.5517/ccdc.csd.cc286z4m
title: CCDC 2092070: Experimental Crystal Structure Determination

description: Related Article: Peng Zhang, Xiao-Mei Wang, Qi Xu, Chang-Qiu Guo, Peng Wang, Chuan-Jun Lu, Ren-Rong Liu|2021|Angew.Chem.,Int.Ed.|60|21718|doi:10.1002/anie.202108747
DOI: 10.5517/ccdc.csd.cc286z5n
title: CCDC 2092071: Experimental Crystal Structure Determination

description: Related Article: Peng Zhang, Xiao-Mei Wang, Qi Xu, Chang-Qiu Guo, Peng Wang, Chuan-Jun Lu, Ren-Rong Liu|2021|Angew.Chem.,Int.Ed.|60|21718|doi:10.1002/anie.202108747
DOI: 10.5517/ccdc.csd.cc288bd9
title: CCDC 2093380: Experimental Crystal Structure Determination

description: Related Article: Andrii Malashchuk, Anton V. Chernykh, Alexey V. Dobrydnev, Oleksandr O. Grygorenko|2021|Eur.J.Org.Chem.|2021|4897|doi:10.1002/ejoc.202100804
DOI: 10.5517/ccdc.csd.cc288h9c
title: CCDC 2093532: Experimental Crystal Structure Determination

description: Related Article: Shrey P. Desai, Mark S. Taylor|2021|Org.Lett.|23|7049|doi:10.1021/acs.orglett.1c02412
DOI: 10.21942/uva.16699009
title: 3D digital reconstruction of Nihonbashi Street in the year of 1805 as a historical hypothesis

description: The 3D reconstruction digitally represents street life on Edo’s (present-day Tokyo) Nihonbashi Street at the southwest corner of Honshirogane-cho Street during the Bunka Era at the beginning of the 19th century - specifically, in 1805 - as accurately as the historical evidence allows. It attempts to present a particular instance of street life in a visual way that spatializes historical knowledge and presents a legitimate hypothesis on lost built environment of Tokyo.<br><br>For the method and data resources please see: Saygi G. and Yasunaga M. (forthcoming). The digital urban experience of a lost city: using mixed methods to depict the historical street life of Edo/Tokyo. Magazen, International Journal for Digital and Public Humanities, 2(2).
DOI: 10.21942/uva.16699009.v1
title: 3D digital reconstruction of Nihonbashi Street in the year of 1805 as a historical hypothesis

description: The 3D reconstruction digitally represents street life on Edo’s (present-day Tokyo) Nihonbashi Street at the southwest corner of Honshirogane-cho Street during the Bunka Era at the beginning of the 19th century - specifically, in 1805 - as accurately as the historical evidence allows. It attempts to present a particular instance of street life in a visual way that spatializes historical knowledge and presents a legitimate hypothesis on lost built environment of Tokyo.<br><br>For the method and data resources please see: Saygi G. and Yasunaga M. (forthcoming). The digital urban experience of a lost city: using mixed methods to depict the historical street life of Edo/Tokyo. Magazen, International Journal for Digital and Public Humanities, 2(2).
DOI: 10.6084/m9.figshare.16708819
title: Supplementary Material for: Influenza A-Associated In-Hospital Mortality in Very Older People: Does Inflammation Also Play a Role?

description: <b><i>Background:</i></b> The aim of the study was to analyze the clinical manifestations and outcome of the oldest old (people aged ≥85 years) who were admitted to the hospital with a confirmed influenza A virus infection in comparison with younger patients and to assess the role of inflammation in the outcome of influenza infection in this population. <b><i>Methods:</i></b> This is an observational prospective study including all adult patients with influenza A virus infection hospitalized in a tertiary teaching hospital in Madrid, in 2 consecutive influenza seasons (2016–17 and 2017–18). <b><i>Results:</i></b> Five hundred nine hospitalized patients with influenza A infection were included, of whom 117 (23%) were older than 85 years (median age: 89.3 ± 3.2). We compared the clinical characteristics and outcome with those of the rest of the population (median age: 72.8 ± 15.7). Overall, mortality was higher in older patients (10% vs. 4%; <i>p</i> = 0.03) with no differences in clinical presentation. Patients older than 85 years who ultimately died (12 out of 117) showed increased systemic inflammation expressed by higher levels of C-reactive protein (CRP) and ferritin compared to survivors who were discharged (odds ratio [OR] of CRP &gt;20 mg/dL: 5.16, 95% confidence interval [CI]: 1.29–20.57, and OR of ferritin &gt;500 mg: 4.3, 95% CI: 1.04–17.35). <b><i>Conclusions:</i></b> Patients aged 85 and older with influenza A virus infection presented a higher in-hospital mortality than younger subjects. CRP and ferritin levels were higher in the oldest old who died, suggesting that inflammation could play a key role in the outcome of this subset of patients.
DOI: 10.6084/m9.figshare.16708813
title: timelag2.xlsx

description: test
DOI: 10.6084/m9.figshare.16708813.v1
title: timelag2.xlsx

description: test
DOI: 10.34740/kaggle/dsv/2665106
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.16708738.v1
title: Fig3C.lpdm_data.xlsx

description: 48-hour retroplume (footprint residence time) showing transport pathways of air masses at YRD and PRD during the two pollution phrases, respectively.
DOI: 10.6084/m9.figshare.16708735.v1
title: Fig3a-b.Temp_diff.nc

description: Spatial distribution of 2-meter air temperature anomaly in the phase of YRD pollution and PRD pollution, respectively
DOI: 10.6084/m9.figshare.16708738
title: Fig3C.lpdm_data.xlsx

description: 48-hour retroplume (footprint residence time) showing transport pathways of air masses at YRD and PRD during the two pollution phrases, respectively.
DOI: 10.6084/m9.figshare.16708789.v1
title: Fig3D.xlsx

description: Comparisons of isoprene emissions during the historic typhoon period from 2013 to 2018 and the summer average in YRD and PRD
DOI: 10.6084/m9.figshare.16708732
title: Fig3b_prd_pollution_diffisop.nc

description: Spatial distribution of BVOCs emission enhancement in the phase of PRD pollution while the typhoon Nesat approaching China
DOI: 10.6084/m9.figshare.16708735
title: Fig3a-b.Temp_diff.nc

description: Spatial distribution of 2-meter air temperature anomaly in the phase of YRD pollution and PRD pollution, respectively
DOI: 10.6084/m9.figshare.16708789
title: Fig3D.xlsx

description: Comparisons of isoprene emissions during the historic typhoon period from 2013 to 2018 and the summer average in YRD and PRD
DOI: 10.6084/m9.figshare.16708726
title: Fig3a_yrd_pollution_diffisop.nc

description: Spatial distribution of BVOCs emission enhancement (contour)in the phase of YRD pollution while the typhoon Nesat approaching China
DOI: 10.6084/m9.figshare.16708726.v1
title: Fig3a_yrd_pollution_diffisop.nc

description: Spatial distribution of BVOCs emission enhancement (contour)in the phase of YRD pollution while the typhoon Nesat approaching China
DOI: 10.6084/m9.figshare.16708732.v1
title: Fig3b_prd_pollution_diffisop.nc

description: Spatial distribution of BVOCs emission enhancement in the phase of PRD pollution while the typhoon Nesat approaching China
DOI: 10.6084/m9.figshare.16708714
title: Fig1a-b.xlsx

description: Averaged MD8A O<sub>3</sub> anomaly between typhoon-associated period and summer period (dotted) and summer averaged isoprene emission calculated with MEGAN model. Distribution of annual anthropogenic NOx emissions (contoured with blue), averaged 500 hPa pressure (contoured with red) and wind based on ERA5 reanalysis data during the phase of YRD O<sub>3</sub> pollution. The solid black line highlights the position of western pacific subtropical high. The green lines show the tracks of historic typhoons crossing Taiwan Strait.
DOI: 10.6084/m9.figshare.16708717
title: Fig1c-d_typhoontrakcs_MD8O3.xlsx

description: MDA8 O<sub>3</sub> levels in YRD and PRD corresponding to the position of typhoon.
DOI: 10.6084/m9.figshare.16708717.v1
title: Fig1c-d_typhoontrakcs_MD8O3.xlsx

description: MDA8 O<sub>3</sub> levels in YRD and PRD corresponding to the position of typhoon.
DOI: 10.6084/m9.figshare.16708720
title: Fig2A-B_wind_SLP.xlsx

description: <b>Typhoon modulated wind circulations and meteorological conditions at different ozone pollution phases</b>. Averaged wind and sea level pressure showing the position of typhoon at the phase of YRD pollution and PRD pollution, respectively.
DOI: 10.6084/m9.figshare.16708720.v1
title: Fig2A-B_wind_SLP.xlsx

description: <b>Typhoon modulated wind circulations and meteorological conditions at different ozone pollution phases</b>. Averaged wind and sea level pressure showing the position of typhoon at the phase of YRD pollution and PRD pollution, respectively.
DOI: 10.6084/m9.figshare.16708714.v1
title: Fig1a-b.xlsx

description: Averaged MD8A O<sub>3</sub> anomaly between typhoon-associated period and summer period (dotted) and summer averaged isoprene emission calculated with MEGAN model. Distribution of annual anthropogenic NOx emissions (contoured with blue), averaged 500 hPa pressure (contoured with red) and wind based on ERA5 reanalysis data during the phase of YRD O<sub>3</sub> pollution. The solid black line highlights the position of western pacific subtropical high. The green lines show the tracks of historic typhoons crossing Taiwan Strait.
DOI: 10.6084/m9.figshare.16708723
title: Fig2C-D.xlsx

description: difference of 2-meter temperature (Temp), relative humidity (RH) and incident ultraviolet radiation b (UVB) at 14:00 local time between typhoon-associated weather system and the summertime climatology in PRD and YRD, respectively.
DOI: 10.34740/kaggle/dsv/2665126
title: 2021 World Population (updated daily)
DOI: 10.5517/ccdc.csd.cc2775l8
title: CCDC 2062479: Experimental Crystal Structure Determination

description: Related Article: José F. Rodríguez,  Anji Zhang,  Jonathan Bajohr,  Andrew Whyte,  Bijan Mirabi,  Mark Lautens|2021|Angew.Chem.,Int.Ed.|60|18478|doi:10.1002/anie.202103323
DOI: 10.5517/ccdc.csd.cc2775m9
title: CCDC 2062480: Experimental Crystal Structure Determination

description: Related Article: José F. Rodríguez,  Anji Zhang,  Jonathan Bajohr,  Andrew Whyte,  Bijan Mirabi,  Mark Lautens|2021|Angew.Chem.,Int.Ed.|60|18478|doi:10.1002/anie.202103323
DOI: 10.5517/ccdc.csd.cc28c14v
title: CCDC 2095976: Experimental Crystal Structure Determination

description: Related Article: Amit Kumar, Chelsea G. Comadoll, Daniel S. King, Allen G. Oliver, Victor W. Day, James D. Blakemore|2021|Inorg.Chem.|60|14047|doi:10.1021/acs.inorgchem.1c01362
DOI: 10.5517/ccdc.csd.cc28c2sj
title: CCDC 2096027: Experimental Crystal Structure Determination

description: Related Article: Miguel A. Medel, Carlos M. Cruz, Delia Miguel, Victor Blanco, Sara P. Morcillo, Araceli G. Campaña|2021|Angew.Chem.,Int.Ed.|60|22051|doi:10.1002/anie.202109310
DOI: 10.5517/ccdc.csd.cc28fljv
title: CCDC 2098437: Experimental Crystal Structure Determination

description: Related Article: Xiaoxiao Chen, Guoxiang Zhang, Rong Zeng|2021|Org.Lett.|23|7144|doi:10.1021/acs.orglett.1c02558
DOI: 10.5517/ccdc.csd.cc26wzz2
title: CCDC 2052695: Experimental Crystal Structure Determination

description: Related Article: P. Li, T. Zhang, L.-L. Li, W.-K. Dong|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|848|doi:10.1107/S2052520621008441
DOI: 10.5517/ccdc.csd.cc26x016
title: CCDC 2052697: Experimental Crystal Structure Determination

description: Related Article: P. Li, T. Zhang, L.-L. Li, W.-K. Dong|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|848|doi:10.1107/S2052520621008441
DOI: 10.5517/ccdc.csd.cc26x005
title: CCDC 2052696: Experimental Crystal Structure Determination

description: Related Article: P. Li, T. Zhang, L.-L. Li, W.-K. Dong|2021|Acta Crystallogr.,Sect.B:Struct.Sci.,Cryst.Eng. and Mat.|77|848|doi:10.1107/S2052520621008441
DOI: 10.5517/ccdc.csd.cc28m79g
title: CCDC 2103855: Experimental Crystal Structure Determination

description: Related Article: Fangzhi Han, Guangju Liu, Chaofan Jin, Jinghan Wang, Jianwei Liu, Liang Wang, Yue Chen|2021|Org.Lett.|23|7069|doi:10.1021/acs.orglett.1c02476
DOI: 10.5517/ccdc.csd.cc28nhq5
title: CCDC 2105077: Experimental Crystal Structure Determination

description: Related Article: Yang-Ming Li, Yu-Tong Sun, Bi-Yuan Li, Hong-Bo Qin|2021|Org.Lett.|23|7254|doi:10.1021/acs.orglett.1c02641
DOI: 10.6084/m9.figshare.16708927
title: Supplementary Material for: Topographic Evolution of Anterior Cerebral Artery Infarction and Its Impact on Motor Impairment

description: <b><i>Introduction:</i></b> Motor deficit is common following anterior cerebral artery (ACA) stroke. This study aimed to determine the impact on the motor outcome, given the location of descending corticofugal fiber tracts (from the primary motor cortex [M1], dorsal and ventral premotor area [PMdv], and supplementary motor area [SMA]) and the regional variations in collateral support of the ACA territory. <b><i>Methods:</i></b> Patients with ACA vessel occlusion were included. Disruption to corticofugal fibers was inferred by overlap of tracts with a lesion on computed tomography perfusion at the onset and on magnetic resonance imaging (MRI) poststroke. The motor outcome was defined by dichotomized and combined National Institute of Health Stroke Scale (NIHSS) sub-scores for the arm and leg. Multivariate hierarchical partitioning was used to analyze the proportional contribution of the corticofugal fibers to the motor outcome. <b><i>Results:</i></b> Forty-seven patients with a median age of 77.5 (interquartile range 68.0–84.5) years were studied. At the stroke onset, 96% of patients showed evidence of motor deficit on the NIHSS, and the proportional contribution of the corticofugal fibers to motor deficit was M1-33%, SMA-33%, and PMdv-33%. By day 7, motor deficit was present in &lt;50% of patients and contribution of M1 fiber tracts to the motor deficit was reduced (M1-10.2%, SMA-61.0%, PMdv-28.8%). We confirmed our findings using publicly available high-resolution templates created from Human Connectome Project data. This also showed a reduction in involvement of M1 fiber tracts on initial perfusion imaging (33%) compared to MRI at a median time of 7 days poststroke (11%). <b><i>Conclusion:</i></b> Improvements in the motor outcome seen in ACA stroke may be due to the relative sparing of M1 fiber tracts from infarction. This may occur as a consequence of the posterior location of M1 fiber tracts and the evolving topography of ACA stroke due to the compensatory capacity of leptomeningeal anastomoses.
DOI: 10.6084/m9.figshare.16708927.v1
title: Supplementary Material for: Topographic Evolution of Anterior Cerebral Artery Infarction and Its Impact on Motor Impairment

description: <b><i>Introduction:</i></b> Motor deficit is common following anterior cerebral artery (ACA) stroke. This study aimed to determine the impact on the motor outcome, given the location of descending corticofugal fiber tracts (from the primary motor cortex [M1], dorsal and ventral premotor area [PMdv], and supplementary motor area [SMA]) and the regional variations in collateral support of the ACA territory. <b><i>Methods:</i></b> Patients with ACA vessel occlusion were included. Disruption to corticofugal fibers was inferred by overlap of tracts with a lesion on computed tomography perfusion at the onset and on magnetic resonance imaging (MRI) poststroke. The motor outcome was defined by dichotomized and combined National Institute of Health Stroke Scale (NIHSS) sub-scores for the arm and leg. Multivariate hierarchical partitioning was used to analyze the proportional contribution of the corticofugal fibers to the motor outcome. <b><i>Results:</i></b> Forty-seven patients with a median age of 77.5 (interquartile range 68.0–84.5) years were studied. At the stroke onset, 96% of patients showed evidence of motor deficit on the NIHSS, and the proportional contribution of the corticofugal fibers to motor deficit was M1-33%, SMA-33%, and PMdv-33%. By day 7, motor deficit was present in &lt;50% of patients and contribution of M1 fiber tracts to the motor deficit was reduced (M1-10.2%, SMA-61.0%, PMdv-28.8%). We confirmed our findings using publicly available high-resolution templates created from Human Connectome Project data. This also showed a reduction in involvement of M1 fiber tracts on initial perfusion imaging (33%) compared to MRI at a median time of 7 days poststroke (11%). <b><i>Conclusion:</i></b> Improvements in the motor outcome seen in ACA stroke may be due to the relative sparing of M1 fiber tracts from infarction. This may occur as a consequence of the posterior location of M1 fiber tracts and the evolving topography of ACA stroke due to the compensatory capacity of leptomeningeal anastomoses.
DOI: 10.3886/e151223v1
title: ES-Coach: A Smartphone and Web-based Performance Coaching Application for Employment Specialists and Teams - Interview transcripts

description: The purpose of these interviews was to solicit feedback on the daily survey project developed under previous NIDILLR grants # 90RT5028 and #90RT5019. Two subject matter experts on best practices for employment specialists, four employment specialists, two employment provider directors, and one self-advocate were interviewed about the questions asked on the daily survey and how they could be improved for the ES-Coach application.
DOI: 10.3886/e151262
title: When does subordinate performance strengthen abusive supervision?

description: We conducted a time-lagged survey with 142 matched reports from supervisors and subordinates who had direct reporting relationships with the supervisors in the South Korean military. Using the data, we examine the association between supervisor perception of subordinate performance and abusive supervision (AS), and the interaction effects of a supervisor’s need for achievement and second-level superiors’ close monitoring of first-line supervisors, as key boundary conditions for the performance-AS relationship.
DOI: 10.3886/e151262v1
title: When does subordinate performance strengthen abusive supervision?

description: We conducted a time-lagged survey with 142 matched reports from supervisors and subordinates who had direct reporting relationships with the supervisors in the South Korean military. Using the data, we examine the association between supervisor perception of subordinate performance and abusive supervision (AS), and the interaction effects of a supervisor’s need for achievement and second-level superiors’ close monitoring of first-line supervisors, as key boundary conditions for the performance-AS relationship.
DOI: 10.5281/zenodo.3626245
title: Pore-scale investigation of forced imbibition in porous media

description: Dataset for the manuscript titled" <strong>Pore-scale investigation of forced imbibition in porous media</strong>"
DOI: 10.6084/m9.figshare.16709077.v1
title: Tabla 1.docx

description: Datos de los mensajes analizados en redes sociales
DOI: 10.6084/m9.figshare.16709077
title: Tabla 1.docx

description: Datos de los mensajes analizados en redes sociales
DOI: 10.5281/zenodo.5541510
title: GeoClaw input files of the 2004 Sumatra-Andaman tsunami scenarios published in Ulrich et al. (2021)

description: This dataset contains the input files of the GeoClaw scenarios of the 2004 Sumatra-Andaman tsunami presented in: Ulrich, T., Gabriel, A. A., Madden, E. H. (2021). Stress, rigidity and sediment strength control megathrust earthquake and tsunami dynamics. doi: 10.31223/osf.io/s9263. <strong>runconverterLMU_WGS84.sh</strong>: contains all the steps to transform a SeisSol surface output to a Geoclaw tt3 file.<br> It uses the displacement converter of Samoa to rasterize a SeisSol surface output to NetCDF.<br> See <strong>README_build_displacement-converter.txt</strong> for the procedure to download and build the displacement converter.<br> Note that the SAMPLER (https://github.com/SeisSol/SAMPLER) will replace the displacement-converter in the future.<br> <br> <strong>convert_geographic_SeisSol_geom.py</strong>: to transform the geometry array of a SeisSol surface output file to the geocentric coordinate system (latitude, longitude).<br> <strong>tapperNetcdf.py</strong>: to apply a Hanning window on a NetCDF file. This prevents sharp displacement discontinuities at the limits of the region of imposed displacements, which could generate spurious waves.<br> <strong>convert_netcdf_tt3.py</strong>: to convert a NetCDF displacement file to the tt3 format (GeoClaw).<br> <br> The GeoClaw simulations require the following files:<br> <br> <strong>displacement_tt3_files.tar.gz</strong> : rasterized input files in tt3 format for 4 earthquake scenarios.<br> <strong>gebco_2019_n25.0_s-21.0_w55.0_e110.0.nc</strong>: input bathymetry and topography data in NetCDF format downloaded from https://www.gebco.net/.<br> <strong>setrun.py</strong> which defines the simulation parameters.<br> a Makefile, plateform specific see e.g. https://github.com/clawpack/geoclaw/blob/master/examples/tsunami/chile2010/Makefile<br> <strong>setplot_fig4.py</strong>: configures GeoClaw for generating outputs for figure 4. <br> <strong>setplot_animation.py</strong>: configures GeoClaw for generating outputs for the supplementary animations. <br> GeoClaw simulations are run with `make .plots`.
DOI: 10.5281/zenodo.5541509
title: GeoClaw input files of the 2004 Sumatra-Andaman tsunami scenarios published in Ulrich et al. (2021)

description: This dataset contains the input files of the GeoClaw scenarios of the 2004 Sumatra-Andaman tsunami presented in: Ulrich, T., Gabriel, A. A., Madden, E. H. (2021). Stress, rigidity and sediment strength control megathrust earthquake and tsunami dynamics. doi: 10.31223/osf.io/s9263. <strong>runconverterLMU_WGS84.sh</strong>: contains all the steps to transform a SeisSol surface output to a Geoclaw tt3 file.<br> It uses the displacement converter of Samoa to rasterize a SeisSol surface output to NetCDF.<br> See <strong>README_build_displacement-converter.txt</strong> for the procedure to download and build the displacement converter.<br> Note that the SAMPLER (https://github.com/SeisSol/SAMPLER) will replace the displacement-converter in the future.<br> <br> <strong>convert_geographic_SeisSol_geom.py</strong>: to transform the geometry array of a SeisSol surface output file to the geocentric coordinate system (latitude, longitude).<br> <strong>tapperNetcdf.py</strong>: to apply a Hanning window on a NetCDF file. This prevents sharp displacement discontinuities at the limits of the region of imposed displacements, which could generate spurious waves.<br> <strong>convert_netcdf_tt3.py</strong>: to convert a NetCDF displacement file to the tt3 format (GeoClaw).<br> <br> The GeoClaw simulations require the following files:<br> <br> <strong>displacement_tt3_files.tar.gz</strong> : rasterized input files in tt3 format for 4 earthquake scenarios.<br> <strong>gebco_2019_n25.0_s-21.0_w55.0_e110.0.nc</strong>: input bathymetry and topography data in NetCDF format downloaded from https://www.gebco.net/.<br> <strong>setrun.py</strong> which defines the simulation parameters.<br> a Makefile, plateform specific see e.g. https://github.com/clawpack/geoclaw/blob/master/examples/tsunami/chile2010/Makefile<br> <strong>setplot_fig4.py</strong>: configures GeoClaw for generating outputs for figure 4. <br> <strong>setplot_animation.py</strong>: configures GeoClaw for generating outputs for the supplementary animations. <br> GeoClaw simulations are run with `make .plots`.
DOI: 10.6084/m9.figshare.16438797
title: Lo Bue et al. 2021 - Files for visualization in Paraview

description: This dataset is to visualise in Paraview the Model CM at 20 Myr described in the paper Lo Bue et al. 2021, JGR: “The role of Adria plate lithospheric structures on the recent dynamics of the Central Mediterranean region”. The datasets saved in files named *.h5 can be loaded on PARAVIEW with the corresponding files *.xmf. For further material and information, please contact the authors directly.