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ZENODO

DataRaw22RodoThesis
Research datakeyboard_double_arrow_right Dataset 2022Publisher:Zenodo
Authors: Rodo, Miguel;
doi: 10.5281/zenodo.7325828 , 10.5281/zenodo.7325829
doi: 10.5281/zenodo.7325828 , 10.5281/zenodo.7325829
Raw data to build `bookdown` book Manuscript22RodoThesis
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ZENODO
Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022
Data sources: ZENODO
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Dataset . 2022
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ZENODO
Dataset . 2022
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"中国区域地震学参考模型"成果中心预建设模型:中国区域浅层地壳模型
Research datakeyboard_double_arrow_right Dataset 2023Publisher:Zenodo
doi: 10.5281/zenodo.7832883
doi: 10.5281/zenodo.7832883
我们利用从1990年以来部署在中国大陆及邻区3848个台站的数据提取的P波偏振、瑞利波椭率和接收函数作为约束,构建中国区域地壳顶部10 km范围内的高分辨率浅层三维地震学模型,包含浅层地壳三维剪切波速度、沉积物厚度和近地表平均剪切波速度。该浅层模型在南北地震带和华北造山带地区的空间分辨率为 ,在中国大陆其他地区的空间分辨率为 (除塔里木盆地和西藏西南地区)。用于构建浅层参考模型的P波偏振、短周期瑞利波椭率和浅层平均接收函数数据库已经可供读者申请使用,下载数据请点击链接。参考文献: Xiao, X., Cheng, S., Wu, J., Wang, W., Sun, L., Wang, X., & Wen, L. (2021). Shallow seismic structure beneath the continental China revealed by P-wave polarization, Rayleigh wave ellipticity and receiver function. Geophysical Journal International, 225(2), 998-1019. 链接若读者在使用这些模型时遇到任何问题,请随时与论文作者肖晓联系:xiaox.seis@gmail.com 。
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Dataset . 2023
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Dataset . 2023
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uprolls2018-278
Research datakeyboard_double_arrow_right Dataset 2022Publisher:Zenodo
Authors: Raphael Susewind;
doi: 10.5281/zenodo.5859652 , 10.5281/zenodo.5859653
doi: 10.5281/zenodo.5859652 , 10.5281/zenodo.5859653
This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
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Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022
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Dataset . 2022
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ZENODO
Dataset . 2022
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Hourly Aerosol Assimilation Of Himawari-8 Aot Using The Four-Dimensional Local Ensemble Transform Kalman Filter
Research datakeyboard_double_arrow_right Dataset 2018Publisher:Zenodo
Authors: Dai Tie;
doi: 10.5281/zenodo.1482782 , 10.5281/zenodo.1482783
doi: 10.5281/zenodo.1482782 , 10.5281/zenodo.1482783
These data are simulated results used in the manuscript titled "Hourly aerosol assimilation of Himawari-8 AOT using the four-dimensional local ensemble transform Kalman filter" to Journal of Advances in Modeling Earth Systems.
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Dataset . 2018
Data sources: Datacite
ZENODO
Dataset . 2018
Data sources: ZENODO
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Dataset . 2018
Data sources: Datacite
ZENODO
Dataset . 2018
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Supplementary Data: Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures
Research datakeyboard_double_arrow_right Dataset 2023 English Publisher:Zenodo
Authors: Zhao, Xin;
doi: 10.5281/zenodo.8244014 , 10.5281/zenodo.8244015
doi: 10.5281/zenodo.8244014 , 10.5281/zenodo.8244015
This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures". The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: realxinzhao/paper-LandBasedCDR-GCAM. In addition, the data were used for generating results used in the paper. See more information at realxinzhao/paper-LandBasedCDR-DisplayItems.
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ZENODO
Dataset . 2023
Data sources: Datacite
ZENODO
Dataset . 2023
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Dataset . 2023
Data sources: Datacite
ZENODO
Dataset . 2023
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DTM - VALENCIA
Research datakeyboard_double_arrow_right Dataset 2020Publisher:Zenodo
Authors: IGN;
doi: 10.5281/zenodo.4035167 , 10.5281/zenodo.4035168
doi: 10.5281/zenodo.4035167 , 10.5281/zenodo.4035168
DTM FROM IGN
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ZENODO
Dataset . 2020
Data sources: Datacite
ZENODO
Dataset . 2020
Data sources: ZENODO
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Dataset . 2020
Data sources: Datacite
ZENODO
Dataset . 2020
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A Comparative study on insecticidal properties of botanicals against sucking pests of horticultural crops
Research datakeyboard_double_arrow_right Dataset 2022 English Publisher:Zenodo
Authors: Prasannakumar; Keshava rao V; Jyothi N; Saroja S; +2 Authors
Prasannakumar; Keshava rao V; Jyothi N; Saroja S; Lokesha AN; Ramkumar G;
doi: 10.5281/zenodo.6513314 , 10.5281/zenodo.6513315
doi: 10.5281/zenodo.6513314 , 10.5281/zenodo.6513315
Bioassays of effect of botanical extracts against sucking pests of Horticultural crops
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ZENODO
Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022 . Peer-reviewed
Data sources: ZENODO
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Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022 . Peer-reviewed
Data sources: ZENODO
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Moral decision making in healthcare and medical professions during the COVID-19 pandemic
Research datakeyboard_double_arrow_right Dataset 2020Publisher:Zenodo
Authors: Hamed Borhany;
doi: 10.5281/zenodo.4362280 , 10.5281/zenodo.4362281
doi: 10.5281/zenodo.4362280 , 10.5281/zenodo.4362281
The Data supports the findings of the article with the same name.
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ZENODO
Dataset . 2020
Data sources: Datacite
ZENODO
Dataset . 2020
Data sources: ZENODO
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Dataset . 2020
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Dataset . 2020
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Heart failure multi-modality data
Research datakeyboard_double_arrow_right Dataset 2019 English Publisher:Zenodo
Authors: Gary Tse; Sharen Lee; Ishan Lakhani; Christien Ka Hou Li; +7 Authors
Gary Tse; Sharen Lee; Ishan Lakhani; Christien Ka Hou Li; Chengye Yin; Keith Leung; Samuel Woo; Matthew Lam; Ivan Ko; John Hung; Ronald Siu;
doi: 10.5281/zenodo.3266163 , 10.5281/zenodo.3464699 , 10.5281/zenodo.3406645 , 10.5281/zenodo.3406867
doi: 10.5281/zenodo.3266163 , 10.5281/zenodo.3464699 , 10.5281/zenodo.3406645 , 10.5281/zenodo.3406867
Disclaimer: These datasets were generated during the course of academic research conducted at the Faculty of Medicine, The Chinese University of Hong Kong, which received ethics approval by The Joint Chinese University of Hong Kong �� New Territories East Cluster Clinical Research Ethics Committee and/or the Institutional Review Board of the University of Hong Kong/Hospital Authority Hong Kong West Cluster of the Hospital Authority. They are published for further advancement of medical research in full compliance with University Regulations and Policy on Dataset Deposit and Sharing. For additional information: https://libguides.lib.cuhk.edu.hk/RDM/dataset_deposit The use of these datasets should provide acknowledgements of such efforts by citing this DOI. Data set on heart failure due to different causes
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ZENODO
Dataset . 2019
Data sources: Datacite
ZENODO
Dataset . 2019
Data sources: ZENODO
ZENODO
Dataset . 2019
Data sources: ZENODO
ZENODO
Dataset . 2019
Data sources: ZENODO
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ZENODO
Dataset . 2019
Data sources: Datacite
ZENODO
Dataset . 2019
Data sources: ZENODO
ZENODO
Dataset . 2019
Data sources: ZENODO
ZENODO
Dataset . 2019
Data sources: ZENODO
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uprolls2022-117
Research datakeyboard_double_arrow_right Dataset 2022Publisher:Zenodo
Authors: Raphael Susewind;
doi: 10.5281/zenodo.5935834 , 10.5281/zenodo.5935835
doi: 10.5281/zenodo.5935834 , 10.5281/zenodo.5935835
This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2022 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2022
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ZENODO
Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022
Data sources: ZENODO
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Dataset . 2022
Data sources: Datacite
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Dataset . 2022
Data sources: ZENODO
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9,997 Research products

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DataRaw22RodoThesis
Research datakeyboard_double_arrow_right Dataset 2022Publisher:Zenodo
Authors: Rodo, Miguel;
doi: 10.5281/zenodo.7325828 , 10.5281/zenodo.7325829
doi: 10.5281/zenodo.7325828 , 10.5281/zenodo.7325829
Raw data to build `bookdown` book Manuscript22RodoThesis
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Dataset . 2022
Data sources: Datacite
ZENODO
Dataset . 2022
Data sources: ZENODO
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Dataset . 2022
Data sources: Datacite
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Dataset . 2022
Data sources: ZENODO
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"中国区域地震学参考模型"成果中心预建设模型:中国区域浅层地壳模型
Research datakeyboard_double_arrow_right Dataset 2023Publisher:Zenodo
doi: 10.5281/zenodo.7832883
doi: 10.5281/zenodo.7832883
我们利用从1990年以来部署在中国大陆及邻区3848个台站的数据提取的P波偏振、瑞利波椭率和接收函数作为约束,构建中国区域地壳顶部10 km范围内的高分辨率浅层三维地震学模型,包含浅层地壳三维剪切波速度、沉积物厚度和近地表平均剪切波速度。该浅层模型在南北地震带和华北造山带地区的空间分辨率为 ,在中国大陆其他地区的空间分辨率为 (除塔里木盆地和西藏西南地区)。用于构建浅层参考模型的P波偏振、短周期瑞利波椭率和浅层平均接收函数数据库已经可供读者申请使用,下载数据请点击链接。参考文献: Xiao, X., Cheng, S., Wu, J., Wang, W., Sun, L., Wang, X., & Wen, L. (2021). Shallow seismic structure beneath the continental China revealed by P-wave polarization, Rayleigh wave ellipticity and receiver function. Geophysical Journal International, 225(2), 998-1019. 链接若读者在使用这些模型时遇到任何问题,请随时与论文作者肖晓联系:xiaox.seis@gmail.com 。
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ZENODO
Dataset . 2023
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Dataset . 2023
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uprolls2018-278
Research datakeyboard_double_arrow_right Dataset 2022Publisher:Zenodo
Authors: Raphael Susewind;
doi: 10.5281/zenodo.5859652 , 10.5281/zenodo.5859653
doi: 10.5281/zenodo.5859652 , 10.5281/zenodo.5859653
This deposit serves as a long-term archive for the unprocessed raw data behind the uprolls2018 table in my comprehensive dataset on religion and politics in India, which is available at https://github.com/raphael-susewind/india-religion-politics/tree/master/uprolls2018
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Data sources: Datacite
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Hourly Aerosol Assimilation Of Himawari-8 Aot Using The Four-Dimensional Local Ensemble Transform Kalman Filter
Research datakeyboard_double_arrow_right Dataset 2018Publisher:Zenodo
Authors: Dai Tie;
doi: 10.5281/zenodo.1482782 , 10.5281/zenodo.1482783
doi: 10.5281/zenodo.1482782 , 10.5281/zenodo.1482783
These data are simulated results used in the manuscript titled "Hourly aerosol assimilation of Himawari-8 AOT using the four-dimensional local ensemble transform Kalman filter" to Journal of Advances in Modeling Earth Systems.
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Dataset . 2018
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Dataset . 2018
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Dataset . 2018
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Supplementary Data: Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures
Research datakeyboard_double_arrow_right Dataset 2023 English Publisher:Zenodo
Authors: Zhao, Xin;
doi: 10.5281/zenodo.8244014 , 10.5281/zenodo.8244015
doi: 10.5281/zenodo.8244014 , 10.5281/zenodo.8244015
This compressed dataset includes the queried CVS files from 16 GCAM data bases generated for the study titled "Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures". The data sets provided here came from the GCAM model output. Please find the model and code information at the GitHub repo: realxinzhao/paper-LandBasedCDR-GCAM. In addition, the data were used for generating results used in the paper. See more information at realxinzhao/paper-LandBasedCDR-DisplayItems.
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"中国区域地震学参考模型"成果中心预建设模型:中国区域浅层地壳模型

uprolls2018-278

Hourly Aerosol Assimilation Of Himawari-8 Aot Using The Four-Dimensional Local Ensemble Transform Kalman Filter

Supplementary Data: Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures

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A Comparative study on insecticidal properties of botanicals against sucking pests of horticultural crops

Moral decision making in healthcare and medical professions during the COVID-19 pandemic

Heart failure multi-modality data

uprolls2022-117

DataRaw22RodoThesis

"中国区域地震学参考模型"成果中心预建设模型:中国区域浅层地壳模型

uprolls2018-278

Hourly Aerosol Assimilation Of Himawari-8 Aot Using The Four-Dimensional Local Ensemble Transform Kalman Filter

Supplementary Data: Trade-Offs in Land-Based Carbon Removal Measures under 1.5°C and 2°C Futures

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