cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7737979
title: Simulation outputs required to generate figures for "Modeling Multi-Scale Deformation Cycles in Subduction Zones with a Continuum Visco-Elastic-Brittle Framework"

description: This file contains all of the model simulation outputs necessary to produce the figures for the paper "Modeling Multi-Scale Deformation Cycles in Subduction Zones with a Continuum Visco-Elastic-Brittle Framework". Below are the details of which file is required to produce which figure: <strong>Figure 5 (De_dam_fields.pdf) </strong> De_dam_We_0_001_dt_10_5_th_10_10_alpha_4_ddam_10.tar.gz <strong>Figure 6 (convergence.pdf)</strong> comp_dt_We_0_001_th_10_10_alpha_4_ddam10.tar.gz Contains 4 files, each one for a different temporal resolution (delta t). <strong>Figure C1 (convergence2.pdf, appendix)</strong> comp_dt_We_0_1_th_10_9_alpha_4_ddam10.tar.gz comp_dt_We_10_th_10_8_alpha_4_ddam10.tar.gz Each contains 4 files, one for each temporal resolution (delta t). <strong>Figure 7 (CPU_time.pdf)</strong> No simulation output file: all of the necessary information (CPU times) are included in the associated MATLAB code, available in the Github repository. <strong>Figure 8 (T_h.pdf)</strong> <strong>Left panels, a, c, e</strong> comp_th_We_0_001_dt_10_5_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_alpha_4_ddam_10.tar.gz Each contains 4 files, one for each healing time (T_h) <strong>Right panels, b, d, f</strong> comp_th_We_0_001_dt_10_5_th_10_11_alpha_4_ddam_10.tar.gz comp_th_We_0_001_dt_10_5_th_10_10_alpha_4_ddam_10.tar.gz comp_th_We_0_001_dt_10_5_th_10_9_alpha_4_ddam_10.tar.gz comp_th_We_0_001_dt_10_5_th_10_8_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_11_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_10_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_8_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_11_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_10_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_9_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_8_alpha_4_ddam_10.tar.gz Each contains 5 files, for 5 different realisations of the model simulations (same parameters, different initial noise on cohesion) <strong>Figure 9 (comp_ddam_We_0_001.pdf)</strong> comp_ddam_We_0_001_dt_10_5_th_10_10.tar.gz One file for each alpha value (2, 3, 4, 6, 8), one file for each delta d value (0.1, 0.3, 0.5, 0.7, 0.9) <strong>Figure 10 (comp_ddam_We_0_1.pdf)</strong> comp_ddam_We_0_1_dt_10_4_th_10_9.tar.gz One file for each alpha value (2, 3, 4, 6, 8), one file for each delta d value (0.1, 0.3, 0.5, 0.7, 0.9) <strong>Figure 11 (discussion.pdf)</strong> u_sfc_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_10.tar.gz u_sfc_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_50.tar.gz <strong>SI movie</strong> SI_movie.tar.gz
description: For any problem with reproducing the figures or uploading the simulation outputs, contact veronique.dansereau@univ-grenoble-alpes.fr
DOI: 10.5281/zenodo.7737978
title: Simulation outputs required to generate figures for "Modeling Multi-Scale Deformation Cycles in Subduction Zones with a Continuum Visco-Elastic-Brittle Framework"

description: This file contains all of the model simulation outputs necessary to produce the figures for the paper "Modeling Multi-Scale Deformation Cycles in Subduction Zones with a Continuum Visco-Elastic-Brittle Framework". Below are the details of which file is required to produce which figure: <strong>Figure 5 (De_dam_fields.pdf) </strong> De_dam_We_0_001_dt_10_5_th_10_10_alpha_4_ddam_10.tar.gz <strong>Figure 6 (convergence.pdf)</strong> comp_dt_We_0_001_th_10_10_alpha_4_ddam10.tar.gz Contains 4 files, each one for a different temporal resolution (delta t). <strong>Figure C1 (convergence2.pdf, appendix)</strong> comp_dt_We_0_1_th_10_9_alpha_4_ddam10.tar.gz comp_dt_We_10_th_10_8_alpha_4_ddam10.tar.gz Each contains 4 files, one for each temporal resolution (delta t). <strong>Figure 7 (CPU_time.pdf)</strong> No simulation output file: all of the necessary information (CPU times) are included in the associated MATLAB code, available in the Github repository. <strong>Figure 8 (T_h.pdf)</strong> <strong>Left panels, a, c, e</strong> comp_th_We_0_001_dt_10_5_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_alpha_4_ddam_10.tar.gz Each contains 4 files, one for each healing time (T_h) <strong>Right panels, b, d, f</strong> comp_th_We_0_001_dt_10_5_th_10_11_alpha_4_ddam_10.tar.gz comp_th_We_0_001_dt_10_5_th_10_10_alpha_4_ddam_10.tar.gz comp_th_We_0_001_dt_10_5_th_10_9_alpha_4_ddam_10.tar.gz comp_th_We_0_001_dt_10_5_th_10_8_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_11_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_10_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_10.tar.gz comp_th_We_0_1_dt_10_4_th_10_8_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_11_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_10_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_9_alpha_4_ddam_10.tar.gz comp_th_We_10_dt_10_3_th_10_8_alpha_4_ddam_10.tar.gz Each contains 5 files, for 5 different realisations of the model simulations (same parameters, different initial noise on cohesion) <strong>Figure 9 (comp_ddam_We_0_001.pdf)</strong> comp_ddam_We_0_001_dt_10_5_th_10_10.tar.gz One file for each alpha value (2, 3, 4, 6, 8), one file for each delta d value (0.1, 0.3, 0.5, 0.7, 0.9) <strong>Figure 10 (comp_ddam_We_0_1.pdf)</strong> comp_ddam_We_0_1_dt_10_4_th_10_9.tar.gz One file for each alpha value (2, 3, 4, 6, 8), one file for each delta d value (0.1, 0.3, 0.5, 0.7, 0.9) <strong>Figure 11 (discussion.pdf)</strong> u_sfc_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_10.tar.gz u_sfc_We_0_1_dt_10_4_th_10_9_alpha_4_ddam_50.tar.gz <strong>SI movie</strong> SI_movie.tar.gz
description: For any problem with reproducing the figures or uploading the simulation outputs, contact veronique.dansereau@univ-grenoble-alpes.fr
DOI: 10.5519/qd.96pd1gk9
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5501017 records)
DOI: 10.5281/zenodo.7740397
title: Geospatial Analysis of Economic Development in kenya by Province

description: This dataset presents both vector and raster data combinations for pm2.5, elevation, nightlight data, population density, area, and population that can be used to estimate the economic development of Kenya using distribution of banks as a proxy.
DOI: 10.5281/zenodo.7740396
title: Geospatial Analysis of Economic Development in kenya by Province

description: This dataset presents both vector and raster data combinations for pm2.5, elevation, nightlight data, population density, area, and population that can be used to estimate the economic development of Kenya using distribution of banks as a proxy.
DOI: 10.6084/m9.figshare.22266925.v2
title: Supplementary Table 1:List of the 518 V. vulnificus strains analyzed in this study

description: Supplementary Table 1 List of the 518 V. vulnificus strains analyzed in this study
DOI: 10.6084/m9.figshare.22266925
title: Supplementary Table S1. List of the 518 V. vulnificus strains analyzed in this study

description: Supplementary Table 1 List of the 518 V. vulnificus strains analyzed in this study
DOI: 10.6084/m9.figshare.22266925.v4
title: Supplementary Table S1. List of the 518 V. vulnificus strains analyzed in this study

description: Supplementary Table 1 List of the 518 V. vulnificus strains analyzed in this study
DOI: 10.6084/m9.figshare.22266925.v3
title: Supplementary Table 1. List of the 518 V. vulnificus strains analyzed in this study

description: Supplementary Table 1 List of the 518 V. vulnificus strains analyzed in this study
DOI: 10.6084/m9.figshare.22266940
title: Supplementary Table S4. Detailed information of coadaptation variants

description: Supplementary Table 2: Detailed information of coadaptation variants
DOI: 10.6084/m9.figshare.22266940.v4
title: Supplementary Table 4. Detailed information of coadaptation variants

description: Supplementary Table 2: Detailed information of coadaptation variants
DOI: 10.6084/m9.figshare.22266940.v5
title: Supplementary Table S4. Detailed information of coadaptation variants

description: Supplementary Table 2: Detailed information of coadaptation variants
DOI: 10.5281/zenodo.7129259
title: Data for the manuscript "Microscopic Description of Basal Stress Generated by Granular Free-surface Flows"

description: Code and Data for the manuscript "Microscopic Description of Basal Stress Generated by Granular Free-surface Flows" The following documents are necessary for reproducing the DEM case indicated in the main article. LIGGGHTS download insttuctions and operation manual can be found in this web site https://www.cfdem.com/media/DEM/docu/Manual.html #------------------------------------------------------------------------------------------------------------<br> geometry folder<br> -contains the commands needed to generate the geometry generation folder<br> -restart file contains the results from last stage<br> -contains the commands needed to generate the granular assembly evolution folder<br> -restart file contains the results from last stage<br> -contains the commands needed to enable granualr partilces evolving from static to a steady-flow condition steady flow folder<br> -restart file contains the results from last stage<br> -contains the commands needed to derive DEM data after flows achieve a steady state. Note: lmp_auto is the executable for LIGGGHTS. #------------------------------------------------------------------------------------------------------------<br> Run a case<br> In the sample case folder simply type in the console:<br> mpirun -np 4 lmp_auto &lt; [FILE_NAME] <br>
DOI: 10.3886/e184644v2-134060
title: How Right Now Mental Health & Coping Data

description: About The Study <br>The How Right Now campaign (HRN), which is made possible with support from the CDC Foundation and conducted in partnership with the Centers for Disease Control and Prevention (CDC), aims to help people cope, adapt, and be resilient throughout the COVID-19 pandemic. HRN prioritizes communities that have been disproportionately affected by COVID-19. To inform the development of this campaign and respond to the evolving needs of its audiences during the COVID-19 pandemic, HRN explored Americans’ mental health, emotional well-being and coping needs using an interrupted time series design. As part of the HRN campaign evaluation, survey data were collected in English and Spanish at three time points—May 2020, May 2021, and May 2022. Data is available for the last two waves of this survey here and at https://www.norc.org/Research/Projects/Pages/how-right-now-campaign.aspx. <br><br>About the Survey <br>These public use files contain data from two of the national probability panel surveys – May 2021 (fielded from May 26-June 1, 2021) and May 2022 (fielded from May 20-May 31, 2022). Both surveys used NORC’s AmeriSpeak® panel (https://amerispeak.norc.org/), a nationally representative probability panel of over 30,000 U.S. households.1 The total sample size for the May 2021 survey was 1,022 and the total sample size for May 2022 was 1,120. Data collection procedures and protocols were reviewed and approved by NORC's Institutional Review Board and were determined exempt under 45 CFR 46 102(1) by CDC.<br><br>More information is available in the document titled "How Right Now Campaign Mental Health and Coping Data – User Guide."<br><br>
DOI: 10.6084/m9.figshare.22226923
title: Dataset for "Estimating coccolithophore PIC:POC based on coccosphere and coccolith geometry"

description: Coccolith biometry: a total of 345 measurents for coccolithophore PIC:POC and coccolith geometry. Detached coccolith data: a total of 138 data points of detached coccoliths. 14 Myr PIC-POC: reconstructed coccolithophore PIC:POC over the past 14 Myr based the coccolith data of Bolton et al. (2016). PIC-POC SCS: E.huxleyi and G.oceanica PIC:POC in the South China Sea.
DOI: 10.6084/m9.figshare.22226923.v3
title: Dataset for "Estimating coccolithophore PIC:POC based on coccosphere and coccolith geometry"

description: Coccolith biometry: a total of 345 measurents for coccolithophore PIC:POC and coccolith geometry. Detached coccolith data: a total of 138 data points of detached coccoliths. 14 Myr PIC-POC: reconstructed coccolithophore PIC:POC over the past 14 Myr based the coccolith data of Bolton et al. (2016).
DOI: 10.15468/b6acdw
title: A checklist of birds of Anwase forest

description: The birding trips were to forest patches around Anwase village of Kwande Local Government Area in Benue State. No previous bird watching had been carried out in these forests. Our study of the geography of the place tells us that the portion of the Guinea forest which lies to the north of the largely montane upland extending from the Sankwala Mountains in Cross River State via the Obudu Plateau and the Bamenda Highlands in Cameroon to the Mambila Plateau in Taraba State is isolated from the main body of that forest to the south. The birding trips were undertaken between the 29th of December 2019 and 17th February 2023. On these trips, forest birds were observed including Chestnut-winged Starling Onichognathus fulgidus which is well known from the main forest belt in Nigeria but seen for the first time in these forests. A black paradise flycatcher which was similar to the enigmatic bird described by Yakhat Barshep in the African Bird Club Bulletin of 2020 was also seen. On this trip it was discovered that the forest still remaining in the area is fragmentary and under severe threat. It has exceptional ornithological importance with high probability of discovering new species and subspecies. This checklist contains 153 bird species recorded in these forest patches.
DOI: 10.34740/kaggle/dsv/5176935
title: Paradise-Panama-Papers
DOI: 10.5281/zenodo.7529592
title: Data from GB-SAR measurements on Lazaun rock glacier (Val Senales, South Tyrol, northern Italy)

description: The *.csv files report the kinematic data extracted from the displacement maps obtained from the processing of ground-based SAR measurements of Lazaun rock glacier (Senales Valley, Northern Italy) and presented in the paper <strong><em>“Unprecedented observation of a rock glacier hourly velocity”</em></strong> (Bertone et al., 2023, submitted). The data were used to display the time series reported in the paper. The data refer to two field campaigns named <em>survey1</em> (<em>from 09/08/2018 to 18/08/2018</em>), and <em>survey2 </em>(<em>from 13/09/2018 to 03/10/2018</em>). <em>TS_August_moving.cs</em>v: includes the survey 1 displacement data of moving points on the rock glacier. <em>TS_August_stable.csv</em>: includes the survey 1 displacement data of stable points outside the rock glacier. <em>TS_September_moving.csv</em>: includes the survey 2 displacement data of moving points on the rock glacier. <em>TS_ September_stable.csv</em>: includes the survey 2 displacement data on stable points outside the rock glacier. Each *.csv file contains the following fields: “<em>displacement</em>”: cumulative displacement (mm); “<em>pointName</em>”: name of point where the time series are computed, as displayed in figure 3; “<em>time</em>”: time of acquisition, in <em>day</em>/<em>month</em>-<em>hour</em>:<em>minute </em>format; “<em>velocity</em>”: velocity (mm/hour); “<em>X</em>” and “<em>Y</em>”: coordinates of points (EPGS 32632) where the time series were extracted. The polygon representing the area of the Lazaun rock glacier is provided by the shapefile <em>Polygon_RG_Lazaun.shp.</em> The velocity distribution on the Lazaun rock glacier as obtained in suvey1 and survey2 is provided by raster files. The velocities were obtained along the LOS and are in mm/day. The two raster files, named <em>raster_survey_1.tif</em> and <em>raster_survey_2.tif</em>, are completed by two files of the same name with the colored overlay (<em>raster_survey_1.lyr</em> and <em>raster_survey_2.lyr</em>). The two velocity maps obtained from survey1 and survey2 are also provided as complete georeferenced figures in geotiff format and named <em>figure_survey_1.tif</em> and<em> figure_survey_2.tif.</em> All the geospatial data are provided in the EPSG 32632 spatial reference.
DOI: 10.25430/researchdata.cab.unipd.it.00000850
title: Dataset: unraveling the dynamics of gas evasion in a step-and-pool configuration

description: This collection contains measured related to a flume experiment and a numerical simulation of a step-and-pool configuration.
DOI: 10.5517/ccdc.csd.cc2byyt2
title: CCDC 2173745: Experimental Crystal Structure Determination

description: Related Article: Alexander J. Menke, Camryn J. Gloor, Liam E. Claton, Magy A. Mekhail, Hongjun Pan, Mikaela D. Stewart, Kayla N. Green, Joseph H. Reibenspies, Giovanni M. Pavan, Riccardo Capelli, Eric E. Simanek|2023|J.Org.Chem.|88|2692|doi:10.1021/acs.joc.2c01984
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d7j9h
title: CCDC 2211766: Experimental Crystal Structure Determination

description: Related Article: Gao-Peng Li, Hai-Zhou Tang, Rui-Cheng Gao, Yao-Yu Wang, Xin Sun, Kun Zhang|2023|Cryst.Growth Des.|23|1575|doi:10.1021/acs.cgd.2c01198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2d7jbj
title: CCDC 2211767: Experimental Crystal Structure Determination

description: Related Article: Gao-Peng Li, Hai-Zhou Tang, Rui-Cheng Gao, Yao-Yu Wang, Xin Sun, Kun Zhang|2023|Cryst.Growth Des.|23|1575|doi:10.1021/acs.cgd.2c01198
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db4b7
title: CCDC 2214278: Experimental Crystal Structure Determination

description: Related Article: Sriram Sundaresan, Jonathan Kiehl, Luca M. Carrella, Eva Rentschler|2023|Cryst.Growth Des.|23|1648|doi:10.1021/acs.cgd.2c01254
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db4c8
title: CCDC 2214279: Experimental Crystal Structure Determination

description: Related Article: Sriram Sundaresan, Jonathan Kiehl, Luca M. Carrella, Eva Rentschler|2023|Cryst.Growth Des.|23|1648|doi:10.1021/acs.cgd.2c01254
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db4d9
title: CCDC 2214280: Experimental Crystal Structure Determination

description: Related Article: Sriram Sundaresan, Jonathan Kiehl, Luca M. Carrella, Eva Rentschler|2023|Cryst.Growth Des.|23|1648|doi:10.1021/acs.cgd.2c01254
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db4fb
title: CCDC 2214281: Experimental Crystal Structure Determination

description: Related Article: Sriram Sundaresan, Jonathan Kiehl, Luca M. Carrella, Eva Rentschler|2023|Cryst.Growth Des.|23|1648|doi:10.1021/acs.cgd.2c01254
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db5qn
title: CCDC 2214321: Experimental Crystal Structure Determination

description: Related Article: Xiuxiu Yang, Edward J. Reijerse, Nils Nöthling, Daniel J. SantaLucia, Markus Leutzsch, Alexander Schnegg, Josep Cornella|2023|J.Am.Chem.Soc.|145|5618|doi:10.1021/jacs.2c12564
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2db5rp
title: CCDC 2214322: Experimental Crystal Structure Determination

description: Related Article: Xiuxiu Yang, Edward J. Reijerse, Nils Nöthling, Daniel J. SantaLucia, Markus Leutzsch, Alexander Schnegg, Josep Cornella|2023|J.Am.Chem.Soc.|145|5618|doi:10.1021/jacs.2c12564
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dfrf1
title: CCDC 2217753: Experimental Crystal Structure Determination

description: Related Article: Wei Wang, Xueqing Li, Zewei Qi, Bingliang Ji, Zenghao Wang, Sujuan Wang, Jinchong Xiao|2022|Org.Lett.|25|1343|doi:10.1021/acs.orglett.2c03786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dfrg2
title: CCDC 2217754: Experimental Crystal Structure Determination

description: Related Article: Wei Wang, Xueqing Li, Zewei Qi, Bingliang Ji, Zenghao Wang, Sujuan Wang, Jinchong Xiao|2022|Org.Lett.|25|1343|doi:10.1021/acs.orglett.2c03786
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.