cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.5611419
title: Mapeo sistemático: Violencia hacia la pareja y resiliencia en mujeres, 2021.

description: La presente investigación, se analizó mediante un mapeo sistemático con las diversas investigaciones realizadas sobre resiliencia en mujeres víctimas de violencia de las últimas décadas. Para lo cual, se realizó una búsquedas de artículos en la base de datos de Scielo, Scopus y Redalyc. La técnica que se utilizó fue el análisis documental general. Obteniendo 117 artículos en total, de los cuales se excluyó 71 investigaciones, y luego de una selección de acuerdo a los criterios de inclusión y exclusión se obtuvieron 09 artículos, encontrando que el diseño que prevalece es cualitativo. Asimismo, se hallaron vínculos con variables relacionadas como estrés postraumático, estrategias de afrontamiento y acoso relacional. Finalmente en los estudios publicados entre los años 2010 y 2020, la resiliencia se afronta tanto por sus características, validación, niveles, repercusiones, como factor que genera empoderamiento, incremento en lo personal y lazos afectivos donde, brindar y recibir afecto, genera conductas de afrontamiento en mujeres víctimas de violencia.
DOI: 10.21227/1xyc-vh10
title: Agen Joker123

description: sabung ayam sv388sabung ayam sv388idnsportidn sportidnsportagen joker123agen joker123situs judi slot onlinesitus judi slot onlinesitus judi slot online
DOI: 10.6084/m9.figshare.15163968.v3
title: Spatial Knowledge Spillovers Across Technologies and an Inter-Regional Innovation Network

description: Matrices and results<br>matdissimilarity.dta: the dissimilarity matrix.<br>numberofPatents08-19.dta: yearly number of patent applications by NUTS2 and IPC class.<br>cloglog_b2.dta: saves all regression results,including MEs of distance and distance*dissimilarity, the coefficients (b's), standard errors(se's), p values (p's), lower limits (ll's) and upper limits (ul's)<br>pairwise b2.dta: calculates the overall effect of distance, b=\beta^0_{m}+\beta^1_{m}*dissimilarity, its standard error and t value.<br><br>predictValue_cloglog2_NUTS2.dta: The expected patent output calculated based on the predicted probabilities. Then RCAs can be calculated based on the expected patent output. <br>
DOI: 10.6084/m9.figshare.15163968
title: Inter-Regional Innovation Network and Smart Specialization

description: Matrices and results<br>matdissimilarity.dta: the dissimilarity matrix.<br>numberofPatents08-19.dta: yearly number of patent applications by NUTS2 and IPC class.<br>cloglog_b2.dta: saves all regression results,including MEs of distance and distance*dissimilarity, the coefficients (b's), standard errors(se's), p values (p's), lower limits (ll's) and upper limits (ul's)<br>pairwise b2.dta: calculates the overall effect of distance, b=\beta^0_{m}+\beta^1_{m}*dissimilarity, its standard error and t value.<br><br>predictValue_NUTS2_long.dta: The expected patent output calculated based on the predicted probabilities. Then RCAs are calculated based on the expected patent output. <br>
DOI: 10.6084/m9.figshare.15163968.v5
title: Inter-Regional Innovation Network and Smart Specialization

description: Matrices and results<br>matdissimilarity.dta: the dissimilarity matrix.<br>numberofPatents08-19.dta: yearly number of patent applications by NUTS2 and IPC class.<br>cloglog_b2.dta: saves all regression results,including MEs of distance and distance*dissimilarity, the coefficients (b's), standard errors(se's), p values (p's), lower limits (ll's) and upper limits (ul's)<br>pairwise b2.dta: calculates the overall effect of distance, b=\beta^0_{m}+\beta^1_{m}*dissimilarity, its standard error and t value.<br><br>predictValue_NUTS2_long.dta: The expected patent output calculated based on the predicted probabilities. Then RCAs are calculated based on the expected patent output. <br>
DOI: 10.6084/m9.figshare.15163968.v4
title: Spatial Knowledge Spillovers Across Technologies and an Inter-Regional Innovation Network

description: Matrices and results<br>matdissimilarity.dta: the dissimilarity matrix.<br>numberofPatents08-19.dta: yearly number of patent applications by NUTS2 and IPC class.<br>cloglog_b2.dta: saves all regression results,including MEs of distance and distance*dissimilarity, the coefficients (b's), standard errors(se's), p values (p's), lower limits (ll's) and upper limits (ul's)<br>pairwise b2.dta: calculates the overall effect of distance, b=\beta^0_{m}+\beta^1_{m}*dissimilarity, its standard error and t value.<br><br>predictValue_NUTS2_long.dta: The expected patent output calculated based on the predicted probabilities. Then RCAs are calculated based on the expected patent output. <br>
DOI: 10.5517/ccdc.csd.cc27xtxx
title: CCDC 2083290: Experimental Crystal Structure Determination

description: Related Article: J. Andrew P. Maitland, Jamie A. Leitch, Ken Yamazaki, Kirsten E. Christensen, Doyle J. Cassar, Trevor A. Hamlin, Darren J. Dixon|2021|Angew.Chem.,Int.Ed.|60|24116|doi:10.1002/anie.202107253
DOI: 10.5517/ccdc.csd.cc28266s
title: CCDC 2087484: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28267t
title: CCDC 2087485: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28268v
title: CCDC 2087486: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28332l
title: CCDC 2088348: Experimental Crystal Structure Determination

description: Related Article: Markus Lerch, Andreas J. Achazi, Doreen Mollenhauer, Jonathan Becker, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|4122|doi:10.1002/ejic.202100711
DOI: 10.5517/ccdc.csd.cc28333m
title: CCDC 2088349: Experimental Crystal Structure Determination

description: Related Article: Markus Lerch, Andreas J. Achazi, Doreen Mollenhauer, Jonathan Becker, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|4122|doi:10.1002/ejic.202100711
DOI: 10.5517/ccdc.csd.cc283z6l
title: CCDC 2089189: Experimental Crystal Structure Determination

description: Related Article: Manfred Drusgala, Philipp Frühwirt, Gabriel Glotz, Katharina Hogrefe, Ana Torvisco, Roland C. Fischer, H. Martin R. Wilkening, Anne-Marie Kelterer, Georg Gescheidt, Michael Haas|2021|Angew.Chem.,Int.Ed.|60|23646|doi:10.1002/anie.202111636
DOI: 10.5517/ccdc.csd.cc283z7m
title: CCDC 2089190: Experimental Crystal Structure Determination

description: Related Article: Manfred Drusgala, Philipp Frühwirt, Gabriel Glotz, Katharina Hogrefe, Ana Torvisco, Roland C. Fischer, H. Martin R. Wilkening, Anne-Marie Kelterer, Georg Gescheidt, Michael Haas|2021|Angew.Chem.,Int.Ed.|60|23646|doi:10.1002/anie.202111636
DOI: 10.5517/ccdc.csd.cc283z8n
title: CCDC 2089191: Experimental Crystal Structure Determination

description: Related Article: Manfred Drusgala, Philipp Frühwirt, Gabriel Glotz, Katharina Hogrefe, Ana Torvisco, Roland C. Fischer, H. Martin R. Wilkening, Anne-Marie Kelterer, Georg Gescheidt, Michael Haas|2021|Angew.Chem.,Int.Ed.|60|23646|doi:10.1002/anie.202111636
DOI: 10.5517/ccdc.csd.cc283z9p
title: CCDC 2089192: Experimental Crystal Structure Determination

description: Related Article: Manfred Drusgala, Philipp Frühwirt, Gabriel Glotz, Katharina Hogrefe, Ana Torvisco, Roland C. Fischer, H. Martin R. Wilkening, Anne-Marie Kelterer, Georg Gescheidt, Michael Haas|2021|Angew.Chem.,Int.Ed.|60|23646|doi:10.1002/anie.202111636
DOI: 10.5517/ccdc.csd.cc28737w
title: CCDC 2092197: Experimental Crystal Structure Determination

description: Related Article: Azusa Kondoh, Rihaku Ojima, Masahiro Terada|2021|Org.Lett.|23|7894|doi:10.1021/acs.orglett.1c02907
DOI: 10.5517/ccdc.csd.cc287vzc
title: CCDC 2092933: Experimental Crystal Structure Determination

description: Related Article: Martin Hejda, Daniel Duvinage, Enno Lork, Antonín Lyčka, Zdeněk Černošek, Jan Macháček, Sergey Makarov, Sergey Ketkov, Stefan Mebs, Libor Dostál, Jens Beckmann|2021|Chem.-Eur.J.|27|14577|doi:10.1002/chem.202103181
DOI: 10.5517/ccdc.csd.cc287w0f
title: CCDC 2092934: Experimental Crystal Structure Determination

description: Related Article: Martin Hejda, Daniel Duvinage, Enno Lork, Antonín Lyčka, Zdeněk Černošek, Jan Macháček, Sergey Makarov, Sergey Ketkov, Stefan Mebs, Libor Dostál, Jens Beckmann|2021|Chem.-Eur.J.|27|14577|doi:10.1002/chem.202103181
DOI: 10.5517/ccdc.csd.cc287w1g
title: CCDC 2092935: Experimental Crystal Structure Determination

description: Related Article: Martin Hejda, Daniel Duvinage, Enno Lork, Antonín Lyčka, Zdeněk Černošek, Jan Macháček, Sergey Makarov, Sergey Ketkov, Stefan Mebs, Libor Dostál, Jens Beckmann|2021|Chem.-Eur.J.|27|14577|doi:10.1002/chem.202103181
DOI: 10.5517/ccdc.csd.cc287w2h
title: CCDC 2092936: Experimental Crystal Structure Determination

description: Related Article: Martin Hejda, Daniel Duvinage, Enno Lork, Antonín Lyčka, Zdeněk Černošek, Jan Macháček, Sergey Makarov, Sergey Ketkov, Stefan Mebs, Libor Dostál, Jens Beckmann|2021|Chem.-Eur.J.|27|14577|doi:10.1002/chem.202103181
DOI: 10.5517/ccdc.csd.cc287w3j
title: CCDC 2092937: Experimental Crystal Structure Determination

description: Related Article: Martin Hejda, Daniel Duvinage, Enno Lork, Antonín Lyčka, Zdeněk Černošek, Jan Macháček, Sergey Makarov, Sergey Ketkov, Stefan Mebs, Libor Dostál, Jens Beckmann|2021|Chem.-Eur.J.|27|14577|doi:10.1002/chem.202103181
DOI: 10.5517/ccdc.csd.cc288jkn
title: CCDC 2093571: Experimental Crystal Structure Determination

description: Related Article: Shailja Data, Jeffery Leung Wai, Saawan Kumar, Alan J. Cameron, Manon Trehet, Emeka J. Itumoh, Joey Feld, Tilo Söhnel, Erin M. Leitao|2021|Eur.J.Org.Chem.|2021|5468|doi:10.1002/ejoc.202101062
DOI: 10.5517/ccdc.csd.cc288jlp
title: CCDC 2093572: Experimental Crystal Structure Determination

description: Related Article: Shailja Data, Jeffery Leung Wai, Saawan Kumar, Alan J. Cameron, Manon Trehet, Emeka J. Itumoh, Joey Feld, Tilo Söhnel, Erin M. Leitao|2021|Eur.J.Org.Chem.|2021|5468|doi:10.1002/ejoc.202101062
DOI: 10.5517/ccdc.csd.cc288jmq
title: CCDC 2093573: Experimental Crystal Structure Determination

description: Related Article: Shailja Data, Jeffery Leung Wai, Saawan Kumar, Alan J. Cameron, Manon Trehet, Emeka J. Itumoh, Joey Feld, Tilo Söhnel, Erin M. Leitao|2021|Eur.J.Org.Chem.|2021|5468|doi:10.1002/ejoc.202101062
DOI: 10.5517/ccdc.csd.cc28cw3n
title: CCDC 2096781: Experimental Crystal Structure Determination

description: Related Article: Niki Mavragani, Dylan Errulat, Diogo A. Gálico, Alexandros A. Kitos, Akseli Mansikkamäki, Muralee Murugesu|2021|Angew.Chem.,Int.Ed.|60|24206|doi:10.1002/anie.202110813
DOI: 10.5517/ccdc.csd.cc27pz64
title: CCDC 2076696: Experimental Crystal Structure Determination

description: Related Article: Guo-Bin Sun, Xin-Da Huang, Tao Shang, Shuo Yan, Song-Song Bao, Xiao-Mei Lu, Yi-Quan Zhang, Li-Min Zheng|2021|Eur.J.Inorg.Chem.|2021|4207|doi:10.1002/ejic.202100538
DOI: 10.5517/ccdc.csd.cc28f11t
title: CCDC 2097895: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28f12v
title: CCDC 2097896: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28f13w
title: CCDC 2097897: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28f14x
title: CCDC 2097898: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28f15y
title: CCDC 2097899: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.5517/ccdc.csd.cc28f16z
title: CCDC 2097900: Experimental Crystal Structure Determination

description: Related Article: Sara-Cathrin Krieg, Jennifer Grimmer, Philipp Kramer, Michael Bolte, Harald Kelm, Georg Manolikakes|2021|Angew.Chem.,Int.Ed.|60|23667|doi:10.1002/anie.202109752
DOI: 10.15151/esrf-es-565008886
title: PROTEINS RELATED TO PATHOGENESIS OF DISEASES, VIRAL PROTEINS, CELL DIVISION, SIGNALLING AND CHROMATIN PROCESSES

description: Our BAG is composed of seven PIs at six different institutions in Italy and Austria. We focus on different protein targets and address diverse biological contexts by combining structural biology with biochemistry, biophysics, cellular and in vivo investigations.
DOI: 10.15151/esrf-es-536299674
title: Austrian Crystallographic Diffraction Consortium

description: This proposed Austrian Crystallographic Diffraction Consortium (ACDC) BAG is to support various macromolecular structural biology groups across Austria (totally 15 research groups at 8 institutions in 5 cities). We employ mainly the technique of X-ray crystallography to characterize macromolecular biological complexes. Approval of this BAG will be absolutely essential for researchers in all these groups to carry out their structural studies on various health-related subjects, which are targeted at characterizing large molecular assemblies or proteins currently under-represented in the PDB, including membrane proteins. Corresponding high-resolution diffraction data are only obtainable through the use of synchrotron radiation sources. Thus regular synchrotron access is highly desirable to maintain a competitive advantage in our individual research fields.
DOI: 10.15151/esrf-es-541045893
title: IBS BAG

description: The IBS BAG currently includes 24 IBS teams and 4 external groups from CERMAV and iRTSV/CEA (Grenoble), CEA-Cadarache (St Paul lez Durance) and IRBA (Brétigny-sur-Orge). We study structure-function relationships of proteins emphasizing in human health, biotechnology and methodology. Most of the projects can be grouped in different topics as follows: host-pathogen interaction, immunology, new drug targets, fundamental cellular mechanisms, membrane proteins, intrinsically disordered proteins, biotechnological applications and methodology. Some of these projects use integrative approaches (X-ray crystallography, SAXS, NMR (and cryo-EM), together with other biophysical studies) with the aim to fully understand the complexity of the biological macromolecular systems on study. Some other teams are dedicated to serial crystallography and its developments, for which the new ESRF-EBS might be the perfect tool.
DOI: 10.15151/esrf-es-541100972
title: Structural Biology at EMBL Grenoble, IBS-CIBB and IAB

description: The proposals covers a broad range of structural biology projects related to pathogen biology, host-pathogen interactions, RNA biology and structure-based drug development that are carried out by PIs at EMBL Grenoble, IBS-CIBB and IAB. The proposers have long-standing experience in the use, as well as the development of beam lines for macromolecular crystallography and have participated in successive BAG applications over the years, mostly at the ESRF but also at other synchrotrons (e.g. Soleil, Petra III, Diamond, SLS).
DOI: 10.15151/esrf-es-541418331
title: Structural investigation of membrane and water soluble proteins

description: The portfolio of this BAG includes structural investigation of membrane proteins as well as soluble proteins relevant to various scientific fields. These range from basic science to application-related projects with impact on biotechnology (optogenetics, biocatalysts) and medicine (understanding and combating bacterial and viral pathogens).
DOI: 10.15151/esrf-es-538776761
title: The ones that got away: anatomy and evolution of exceptional early teleost fish fossils

description: The staggeringly diverse and abundant teleost fishes account for 99% of the 36,000 living species of ray-finned fishes. Despite an abundance of exceptional three-dimensional fossils, our understanding of the anatomy and relationships of the early members of this group is poorly constrained. Early teleosts are both taxonomically and morphologically diverse, and their anatomically complex skulls and braincases have the potential to resolve outstanding questions. Propagation phase contrast synchrotron X-ray µCT of key early teleost specimens provides an unrivalled opportunity to peer inside the heads of these fossils. By revealing new and detailed anatomical information, questions of phylogenetic affinity and morphological innovation leading to the extant teleost radiation can be confronted. Once a robust hypothesis of phylogenetic relationships has been established, macroevolutionary patterns relating to teleost evolution, diversification, and extinction pressures can be investigated.
DOI: 10.6084/m9.figshare.16908028
title: CIBERSORT

description: CIBERSORT reference and data source
DOI: 10.5517/ccdc.csd.cc28jcz5
title: CCDC 2101117: Experimental Crystal Structure Determination

description: Related Article: Weinan Hu, Xu Wang, Xiaoni Yu, Xinju Zhu, Xin‐Qi Hao, Mao‐Ping Song|2021|Asian J.Org.Chem|10|2557|doi:10.1002/ajoc.202100515
DOI: 10.5517/ccdc.csd.cc28jd29
title: CCDC 2101120: Experimental Crystal Structure Determination

description: Related Article: Weinan Hu, Xu Wang, Xiaoni Yu, Xinju Zhu, Xin‐Qi Hao, Mao‐Ping Song|2021|Asian J.Org.Chem|10|2557|doi:10.1002/ajoc.202100515
DOI: 10.5517/ccdc.csd.cc28k2nl
title: CCDC 2101789: Experimental Crystal Structure Determination

description: Related Article: Markus Lerch, Andreas J. Achazi, Doreen Mollenhauer, Jonathan Becker, Siegfried Schindler|2021|Eur.J.Inorg.Chem.|2021|4122|doi:10.1002/ejic.202100711
DOI: 10.5517/ccdc.csd.cc28lb3b
title: CCDC 2102981: Experimental Crystal Structure Determination

description: Related Article: Takumi Matsuo, Tatsuya Yamaguchi, Tomoki Hirohata, Masaaki Nakamoto, Yohsuke Yamamoto, Yutaka Maeda, Atsushi Kawachi|2021|Eur.J.Inorg.Chem.|2021|4096|doi:10.1002/ejic.202100668
DOI: 10.5517/ccdc.csd.cc27pz75
title: CCDC 2076697: Experimental Crystal Structure Determination

description: Related Article: Guo-Bin Sun, Xin-Da Huang, Tao Shang, Shuo Yan, Song-Song Bao, Xiao-Mei Lu, Yi-Quan Zhang, Li-Min Zheng|2021|Eur.J.Inorg.Chem.|2021|4207|doi:10.1002/ejic.202100538
DOI: 10.5281/zenodo.4286098
title: Longitudinal data to explore changes in flood risk awareness and preparedness

description: This upload includes two different longitudinal datasets. The Panel datasets includes two rounds of surveys where the same individuals were interviewed. The Repeated Cross-Sectional includes two rounds of surveys where different individuals were interviewed in each round. The first survey round is the same in the two datasets. Data were collected in the municipality of Negrar (VR), in North-eastern Italy in February 2019 and in February 2020, following a flash flood which occurred in September 2018.
DOI: 10.5281/zenodo.5624237
title: Large Eddy Simulation data of flow in a rectangular diffuser

description: This dataset contains the results of large-eddy simulations of the flow in a rectangular asymmetric diffuser. Here only the D2 diffuser's data are provided because experimental and DNS data are avilable for D1. .
DOI: 10.5281/zenodo.5624236
title: Large Eddy Simulation data of flow in a rectangular diffuser

description: This dataset contains the results of large-eddy simulations of the flow in a rectangular asymmetric diffuser. Here only the D2 diffuser's data are provided because experimental and DNS data are avilable for D1. .
DOI: 10.48324/dandi.000034/0.211030.0713
title: SpikeInterface, a unified framework for spike sorting

description: SpikeInterface is a Python framework designed to make the analysis of extracellular electrophysiology data more accessible and standardized. The SpikeInterface documentation can be found at https://spikeinterface.readthedocs.io/en/latest/.

This dataset contains all recordings analysed in the paper: "SpikeInterface, a unified framework for spike sorting." Alessio P. Buccino, Cole L. Hurwitz, Samuel Garcia, Jeremy Magland, Joshua H. Siegle, Roger Hurwitz, Matthias H. Hennig, eLife - doi: https://doi.org/10.7554/eLife.61834;
DOI: 10.5281/zenodo.5617851
title: SMARTEES Timisoara Survey

description: Survey of Timisoara City residents conducted by the West University of Timisoara for the SMARTEES project between March and August 2020 (n=439). The survey was aimed at (1) understanding individual behaviours related to the environment and energy in general, and (2) assessing how people make decisions about energy efficiency measures in particular (i.e., perceptions about existing regional or national programmes aiming to improve the energy efficiency of homes through upgrades to the building fabric with a neighbourhood-scale heat network retrofit). It includes data about citizens' attitudes, behaviours and social networks. Files include the dataset in two formats: .csv and .sav. The questionnaire, a data dictionary and background and sampling details are also included.
DOI: 10.5281/zenodo.5617850
title: SMARTEES Timisoara Survey

description: Survey of Timisoara City residents conducted by the West University of Timisoara for the SMARTEES project between March and August 2020 (n=439). The survey was aimed at (1) understanding individual behaviours related to the environment and energy in general, and (2) assessing how people make decisions about energy efficiency measures in particular (i.e., perceptions about existing regional or national programmes aiming to improve the energy efficiency of homes through upgrades to the building fabric with a neighbourhood-scale heat network retrofit). It includes data about citizens' attitudes, behaviours and social networks. Files include the dataset in two formats: .csv and .sav. The questionnaire, a data dictionary and background and sampling details are also included.
DOI: 10.5281/zenodo.5624205
title: Data and code for the manuscript

description: Data and code we used to calculate the concentration distirbution in our manuscript.
DOI: 10.5281/zenodo.5624204
title: Data and code for the manuscript

description: Data and code we used to calculate the concentration distirbution in our manuscript.
DOI: 10.6084/m9.figshare.16908418.v1
title: data_public.dta

description: it includes publicly listed firms of Chinese firms during 2010 to 2019, and in dta style. It can be used in regression <br>
DOI: 10.6084/m9.figshare.16908418
title: data_public.dta

description: it includes publicly listed firms of Chinese firms during 2010 to 2019, and in dta style. It can be used in regression <br>