cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6945470
title: Observed Upper Deep Branch of the Pacific Meridional Overturning Circulation North of New Guinea

description: This dataset contains velocity and potential temperature data observed by the mooring in the deep channel north of New Guinea. It is supplementary of the paper "<strong>Observed Upper Deep Branch of the Pacific Meridional Overturning Circulation North of New Guinea</strong>" submitted to the <em>Journal of Physical Oceanography</em>. Please let me know if you need any more information.
DOI: 10.7924/r4mc93m7j
title: Phonon and Raman caculation data from: Coherent Phonon‐Induced Modulation of Charge Transfer in 2D Hybrid Perovskites

description: Electron-phonon interactions play an essential role in charge transport and transfer processes in semiconductors. For most structures, tailoring electron-phonon interactions for specific functionality remains elusive. Here, we show that, in hybrid perovskites, coherent phonon modes can be used to manipulate charge transfer. In the two-dimensional double perovskite, (AE2T)2AgBiI8 (AE2T: 5,5'-diylbis(amino-ethyl)-(2,2'-(2)thiophene)), the valence band maximum derived from the [Ag0.5Bi0.5I4]-2 framework lies in close proximity to the AE2T-derived HOMO level, thereby forming a type-II heterostructure. During transient absorption spectroscopy, pulsed excitation creates sustained coherent phonon modes, which periodically modulate the associated electronic levels. Thus, the energy offset at the organic-inorganic interface also oscillates periodically, providing a unique opportunity for modulation of interfacial charge transfer. Density-functional theory corroborates the mechanism and identifies specific phonon modes as likely drivers of the coherent charge transfer. These observations are a striking example of how electron-phonon interactions can be used to manipulate fundamentally important charge and energy transfer processes in hybrid perovskites. 

Acknowledgments: D.S., K.G., X.Q., V.B., M.K.J., D.B.M., S.J., and W.Y., acknowledge support from the NSF DMREF program under grant numbers DMR-1729297, DMR-1728921, and DMR-1729383. The authors acknowledge the NCSU Imaging and Kinetic Spectroscopy facility. S.M.J. thanks the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) for a postdoctoral fellowship, Grant No. 393196393.
DOI: 10.15131/shef.data.21830094.v2
title: Near-field Multislice Ptychography

description: This folder includes all multislice near-field ptychography data for both optical bench experiment and x-ray experiment appeared in this paper. Detailed implementation of the algorithm is available within the paper and the original 3PIE paper by Dr. Andrew Maiden. Code available upon request.
DOI: 10.6084/m9.figshare.22189156
title: Data of cores ECS-1302 and ECS-1401.xlsx

description: These data are from the two cores and they were shown in figures.
DOI: 10.6084/m9.figshare.22189156.v3
title: Data of cores ECS-1302 and ECS-1401.xlsx

description: These data are from the two cores and they were shown in figures.
DOI: 10.6084/m9.figshare.22189156.v2
title: Data of grain sizes and foraminifers of cores ECS-1302 and ECS-1401.xlsx

description: These data are from the two cores and they were shown in figures.
DOI: 10.6084/m9.figshare.22247161
title: Copy of Mental Health Survey 2021_August 16, 2022_12.33.xlsx

description: Mental health survey data from medical students in all four class cohorts collected during the Spring of 2021. The survey is a modified version of the survey used by Gold et al., 2014 and Young Imposter Syndrome Quiz. The survey was composed of questions about demographics, stress and burnout, imposter syndrome, general and Mental Health/ Health Seeking Behaviors, academic Help Seeking Behaviors, Attitudes to Mental Health, and Personal Health and Coping Behaviors.
DOI: 10.25345/c54x54s4v
title: MassIVE MSV000091458 - FLAG-TDG-N140A-CD co-immunoprecipitation in HEK293 cells
title: Co-immunoprecipitation expreiment of FLAG-tagged human TDG catalytic domain with N140A mutation (FLAG-TDG-N140A-CD) stably expressed in HEK293 cells, compared to control empty (no FLAG-TDG-N140A-CD) HEK293 cells.
DOI: 10.5281/zenodo.7714299
title: ARTICULO DE OPINION SOBRE LA ENSEÑANZA DE VALORES EN LOS ESTUDIANTES UNIVERSITARIOS

description: La enseñanza o práctica de los valores en los estudiantes universitarios es muy importante para la convivencia social. La formación del estudiante pasa por un proceso de elaboración personal en virtud, en el cual pasan por una interacción social, la convivencia entre estudiantes, en este campo de acción es donde empiezan a construir sus propios valores. La formación de valores es uno de los requisitos previos de la educación superior, y el proceso de aprendizaje asociado a la universidad es una de las metas, que incluye el desarrollo integral de la personalidad del estudiante. La enseñanza o práctica de los valores en los estudiantes universitarios es muy importante para la convivencia social. La formación del estudiante pasa por un proceso de elaboración personal en virtud, en el cual pasan por una interacción social, la convivencia entre estudiantes, en este campo de acción es donde empiezan a construir sus propios valores. La formación de valores es uno de los requisitos previos de la educación superior, y el proceso de aprendizaje asociado a la universidad es una de las metas, que incluye el desarrollo integral de la personalidad del estudiante.
DOI: 10.5281/zenodo.7714298
title: ARTICULO DE OPINION SOBRE LA ENSEÑANZA DE VALORES EN LOS ESTUDIANTES UNIVERSITARIOS

description: La enseñanza o práctica de los valores en los estudiantes universitarios es muy importante para la convivencia social. La formación del estudiante pasa por un proceso de elaboración personal en virtud, en el cual pasan por una interacción social, la convivencia entre estudiantes, en este campo de acción es donde empiezan a construir sus propios valores. La formación de valores es uno de los requisitos previos de la educación superior, y el proceso de aprendizaje asociado a la universidad es una de las metas, que incluye el desarrollo integral de la personalidad del estudiante. La enseñanza o práctica de los valores en los estudiantes universitarios es muy importante para la convivencia social. La formación del estudiante pasa por un proceso de elaboración personal en virtud, en el cual pasan por una interacción social, la convivencia entre estudiantes, en este campo de acción es donde empiezan a construir sus propios valores. La formación de valores es uno de los requisitos previos de la educación superior, y el proceso de aprendizaje asociado a la universidad es una de las metas, que incluye el desarrollo integral de la personalidad del estudiante.
DOI: 10.6084/m9.figshare.22247176
title: Integrated_normalized_counts

description: Normalized counts extracted from the integrated assay of the final NSCLC dataset.
DOI: 10.5281/zenodo.7714314
title: RESEÑA SOBRE EL CURRICULO POR COMPETENCIAS EN EL CONTEXTO UNIVERSITARIO

description: Esta reseña es el punto de vista del doctor Sergio Tobón, sobre el currículo basado en competencias en el contexto universitario su dialogo dado en la capacitación a los docentes en la USS realizado en mayo del año 2021; es un aporte valioso e importante para el campo de la educación, ya que muestra cómo centra la atención en el proceso en términos constructivistas, que incentiva a transferir conocimientos a los estudiantes, no solo en la situación inmediata, si no a la vida misma.
DOI: 10.5281/zenodo.7714313
title: RESEÑA SOBRE EL CURRICULO POR COMPETENCIAS EN EL CONTEXTO UNIVERSITARIO

description: Esta reseña es el punto de vista del doctor Sergio Tobón, sobre el currículo basado en competencias en el contexto universitario su dialogo dado en la capacitación a los docentes en la USS realizado en mayo del año 2021; es un aporte valioso e importante para el campo de la educación, ya que muestra cómo centra la atención en el proceso en términos constructivistas, que incentiva a transferir conocimientos a los estudiantes, no solo en la situación inmediata, si no a la vida misma.
DOI: 10.5517/ccdc.csd.cc2d48pj
title: CCDC 2208647: Experimental Crystal Structure Determination

description: Related Article: Xue-Qing Mou, Liang-Chen Ren, Min Wang, Huan-Huan Zhang, Ang Cai, Kuan-Xin Wan, Shi-Min Zhang, Bao-Dong Cui, Yun Zhang, Yong-Zheng Chen|2023|J.Org.Chem.|88|3238|doi:10.1021/acs.joc.3c00015
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.cc2d48qk
title: CCDC 2208648: Experimental Crystal Structure Determination

description: Related Article: Xue-Qing Mou, Liang-Chen Ren, Min Wang, Huan-Huan Zhang, Ang Cai, Kuan-Xin Wan, Shi-Min Zhang, Bao-Dong Cui, Yun Zhang, Yong-Zheng Chen|2023|J.Org.Chem.|88|3238|doi:10.1021/acs.joc.3c00015
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.cc2d6w7r
title: CCDC 2211144: Experimental Crystal Structure Determination

description: Related Article: Fenghua Ding, Kent J. Griffith, Weiguo Zhang, Shaoxin Cui, Chi Zhang, Yiran Wang, Kendall Kamp, Hongwei Yu, P. Shiv Halasyamani, Zhihua Yang, Shilie Pan, Kenneth R. Poeppelmeier|2023|J.Am.Chem.Soc.|145|4928|doi:10.1021/jacs.2c12069
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.cc2d7rfv
title: CCDC 2211987: Experimental Crystal Structure Determination

description: Related Article: Surjya Kumar Bora, Sudip Shit, Archana Kumari Sahu, Anil K. Saikia|2023|J.Org.Chem.|88|3012|doi:10.1021/acs.joc.2c02715
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: 10.18119/n9f317
title: Phosphoproteomic interaction networks for fibrin
DOI: 10.18119/n9990p
title: Phosphoproteomic interaction networks for iC3b, GO-enriched subnetwork
DOI: 10.18119/n95k6g
title: Phosphoproteomic interaction networks for fibrin, GO-enriched subnetwork
DOI: 10.18119/n91s5x
title: Phosphoproteomic interaction networks for iC3b
DOI: 10.6084/m9.figshare.13263881.v7
title: How fast is Australia's broadband (vs Top Ten Trading Partners; Speedtest Global Index 2017-2020)?

description: This data collates an excerpt from Speedtest Global Index, over time (2018 - 2020), for Australia's Top Ten Trading Partners by imports and exports. Download speeds are in Mbps. Figures are rounded to nearest 5Mbps, except for % growth, and smallest observations.<br>Australia's Top 10 Trading Partners are sourced from:- Observatory of Economic Complexity (https://oec.world).<br>A version of this data (2018 - 19) was published in the Journal of Telecommunications and the Digital Economy (JTDE link below), Figure 3 (Ferrers 2020) in 2020, and presented at a Telsoc NBN Future Forum on Learning from International Experiences. Data from paper is at Figshare (link below).<br>File is provided in formats:- numbers with paper graph, and formulae- csv (for browsing)- png version of Figure 3 from JTDE paper.<br>This dataset is intended to be updated annually. Speedtest provides monthly updates.<br>Versions:v7 - NZ is twice as fast as AU. Pic and data excerpt.v6 - updated Dec 2020 figures. add graph 2018-2020.v5 - added link to Whirlpool, querying Australia's recent 40% jump in download vs ACCC Sept 2020 report - link belowv4 - simplified titlev3 - include graph image from JTDE paper (Figure 3) 2018 - 19.v2 - Amended title to include yearsv1 - Initial Load
DOI: 10.5281/zenodo.7714334
title: Observation of entanglement transition of pseudo-random mixed states

description: Experimental data in the manuscript "Observation of entanglement transition of pseudo-random mixed states".
DOI: 10.5281/zenodo.7714333
title: Observation of entanglement transition of pseudo-random mixed states

description: Experimental data in the manuscript "Observation of entanglement transition of pseudo-random mixed states".
DOI: 10.6084/m9.figshare.22247563
title: Study on The Impact of Hierarchical Network Structure on Knowledge Sharing between Mentors and Apprentices in Or-ganizations.rar

description: This is the data of the paper to study the effect of network structure within the organization on the knowledge sharing of mentors and apprentices, the data include: network structure data and organizational knowledge sharing quality
DOI: 10.6084/m9.figshare.22247563.v1
title: Study on The Impact of Hierarchical Network Structure on Knowledge Sharing between Mentors and Apprentices in Or-ganizations.rar

description: This is the data of the paper to study the effect of network structure within the organization on the knowledge sharing of mentors and apprentices, the data include: network structure data and organizational knowledge sharing quality
DOI: 10.5281/zenodo.7500030
title: Emergent chirality in a polar meron to skyrmion phase transition

description: The 4D-STEM dataset of polar skyrmions along with a python notebook for simple analysis and plotting. https://arxiv.org/abs/2101.04545
DOI: 10.5281/zenodo.7494063
title: Emergent chirality in a polar meron to skyrmion phase transition

description: The 4D-STEM dataset of polar skyrmions along with a python notebook for simple analysis and plotting. https://arxiv.org/abs/2101.04545
DOI: 10.25584/data.2018-12.623/1484509
title: HDD and CDD Projections for BEND-GCAM

description: These are state-level annual heating and cooling degree day projections generated from downscaled climate model output for RCP 4.5 and RCP 8.5.
DOI: 10.25584/data.2019-04.720/1508166
title: Input data to electricity_entity_boundaries workflow

description: The EIA 861 electricity entity information dataset which acts as the input data to the electricity_entity_boundaries workflow (https://github.com/IMMM-SFA/electricity_entity_boundaries).
DOI: 10.25584/data.2019-04.721/1508393
title: Ancillary metadata for electricity_entity_boundaries workflow

description: County metadata and shapefiles used as input to the electricity_entity_boundaries workflow (https://github.com/IMMM-SFA/electricity_entity_boundaries)
DOI: 10.25584/data.2019-05.722/1510802
title: Agent-Based Model for Analyzing the Role of Risk Perception in Water Management Decisions

description: Data associated with the Hyun et al. 2019 paper in Hydrology and Earth System Science.
DOI: 10.25584/data.2019-08.939/1558807
title: Figures and scripts from Taylor, et al's "A multi-scale calibration approach for process-oriented aggregated building energy demand models"

description: This dataset includes all figures that were generated in the course of writing Taylor, et al's "A multi-scale calibration approach for process-oriented aggregated building energy demand models." It includes the figures and tables from the paper, a large number of additional figures that were not included in the paper, and the underlying data and R scripts that were used to generate the figures.
DOI: 10.25584/data.2019-09.968/1565962
title: WRF-UCM CDD (cooling degree days) data

description: The MATLAB (.mat) files (spatial grids of daily CDD data) are generated by a suit of WRF-UCM simulations over California at 4.5 km resolution (1.5 km resolution over cities) for 5 scenarios
DOI: 10.25584/data.2019-11.1048/1574145
title: Data from Sun et al. (2019, JAMES, DOI: 10.1029/2019MS001831)

description: Nudging is a simulation technique widely used in sensitivity studies and in the evaluation of atmosphere models. Output from various experiments for evaluating the different nudging strategies in E3SM is shared.
DOI: 10.25584/data.2020-02.1114/1597292
title: Cheng et al. 2019 Input and Output Data

description: Data associated with Cheng et al. 2019 in the Journal of Advances in Modeling Earth Systems.
DOI: 10.25584/data.2020-03.1181/1603675
title: Data from Wan et al. (2020, JAMES, DOI: 10.1029/2019MS001982)

description: This data set includes the simple condensation model output and CAM4 model output used to generate figures presented in the following paper: Wan, H., Woodward, C. S., Zhang, S., Vogl, C. J., Stinis, P., Gardner, D. J., Rasch, P. J., Zeng, X., Larson, V. E., and Singh, B. (2020): Improving time-step convergence in an atmosphere model with simplified physics: the impacts of closure assumption and process coupling, Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2019MS001982
DOI: 10.25584/data.2020-04.1187/1609025
title: Global Land Use under SSP-RCP scenarios

description: This dataset includes global land use projections at 0.05-degree resolution under 15 SSP-RCP scenarios in the 21st century, produced by GCAM and Demeter and forced by five global climate models.
DOI: 10.25584/data.2020-03.1182/1615520
title: Data for publication Wan et al. (2020, JAMES), Improving time-step convergence in an atmosphere model with simplified physics: the impacts of closure assumption and process coupling

description: This dataset contains simple condensation mdoel output and CAM4 model output that were used to produce figures in the following paper: Wan, H., Woodward, C. S., Zhang, S., Vogl, C. J., Stinis, P., Gardner, D. J., Rasch, P. J., Zeng, X., Larson, V. E., and Singh, B. (2020): Improving time-step convergence in an atmosphere model with simplified physics: the impacts of closure assumption and process coupling, Journal of Advances in Modeling Earth Systems, https://doi.org/10.1029/2019MS001982
DOI: 10.5281/zenodo.7714375
title: A Network-of-Networks Coordination for Cross-Industry Supply Chain Adaptation

description: Data and code for reproducing the results in paper entitled "A Network-of-Networks Coordination for Cross-Industry Supply Chain Adaptation"
DOI: 10.5281/zenodo.7714374
title: A Network-of-Networks Coordination for Cross-Industry Supply Chain Adaptation

description: Data and code for reproducing the results in paper entitled "A Network-of-Networks Coordination for Cross-Industry Supply Chain Adaptation"
DOI: 10.25584/data.2020-04.1190/1615771
title: GCAM-Demeter-LU

description: This GCAM-Demeter-LU is made available under the Open Data Commons Attribution License:http://opendatacommons.org/licenses/by/1.0/. The dataset includes the projected global gridded land cover (excluding the Antarctic) for the period of 2015-2100 at 0.05-degree resolution and 5-year time step under fifteen SSP-RCP scenarios driven by five GCMs (i.e., gfdl, hadgem, ipsl, miroc, and noresm), using the Global Change Analysis Model (GCAM) and a geospatial downscaling model (Demeter). The data has been stored in self-describing NetCDF format. The dataset also includes the mean and standard deviation of the results driven by the five GCMs. More specifically, the data in each year includes grid-explicit fraction (in percent) of each of the 32 plant functional types that are widely used in current Earth system models. The NetCDF files are named as “GCAM_Demeter_LU_SSP_RCP_Model_Year.nc”, where “SSP” and “RCP” denote the SSP and RCP scenarios, including 'ssp1_rcp26', 'ssp1_rcp45', 'ssp1_rcp60', 'ssp2_rcp26', 'ssp2_rcp45', 'ssp2_rcp60', 'ssp3_rcp45', 'ssp3_rcp60', 'ssp4_rcp26', 'ssp4_rcp45', 'ssp4_rcp60', 'ssp5_rcp26', 'ssp5_rcp45', 'ssp5_rcp60', and 'ssp5_rcp85'. “Year” denotes the year of the land use data, and “GCM” denotes the source driving forcing data from five global climate models (gfdl, hadgem, ipsl, miroc, and noresm), or the mean (“modelmean”) and the standard deviation (“modelstd”) of the results from the five GCMs.See https://github.com/JGCRI/chen_et_al_2020a for details on how to reproduce this data. Rights and permissions Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article
DOI: 10.25584/data.2020-04.1193/1616451
title: Yang_et_al_2020_Hydrology_Data

description: Data supporting the paper "Impact of climate change on adaptive management decisions in the face of water scarcity" in the Journal of Hydrology.
DOI: 10.5517/ccdc.csd.cc2dp9hx
title: CCDC 2225009: Experimental Crystal Structure Determination

description: Related Article: Sotaro Kusumoto, Youssef Atoini, Shunya Masuda, Yoshihiro Koide, Jee Young Kim, Shinya Hayami, Yang Kim, Jack Harrowfield, Pierre Thuéry|2023|Inorg.Chem.|62|3929|doi:10.1021/acs.inorgchem.2c04321
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: 10.25584/data.2020-05.1195/1617473
title: 2010 U.S. Census Regions and Divisions

description: State and county mapping of U.S. census regions and divisions based on 2010 data. The raw and processed data sources are included as well as maps of the output.
DOI: 10.5517/ccdc.csd.cc2dp9jy
title: CCDC 2225010: Experimental Crystal Structure Determination

description: Related Article: Sotaro Kusumoto, Youssef Atoini, Shunya Masuda, Yoshihiro Koide, Jee Young Kim, Shinya Hayami, Yang Kim, Jack Harrowfield, Pierre Thuéry|2023|Inorg.Chem.|62|3929|doi:10.1021/acs.inorgchem.2c04321
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.cc2dp9kz
title: CCDC 2225011: Experimental Crystal Structure Determination

description: Related Article: Sotaro Kusumoto, Youssef Atoini, Shunya Masuda, Yoshihiro Koide, Jee Young Kim, Shinya Hayami, Yang Kim, Jack Harrowfield, Pierre Thuéry|2023|Inorg.Chem.|62|3929|doi:10.1021/acs.inorgchem.2c04321
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.