cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8275572
title: ELITE land surface temperature: Landsat LST over China (2005.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 5 in July 2005. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 5 in January 2005. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2005.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5517/ccdc.csd.cc2dm4ls
title: CCDC 2222935: Experimental Crystal Structure Determination

description: Related Article: Hanhua Xu, Ze-Jie Lv, Junnian Wei, Zhenfeng Xi|2023|Dalton Trans.|52|11565|doi:10.1039/D3DT01767B
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.cc2dm7t3
title: CCDC 2223035: Experimental Crystal Structure Determination

description: Related Article: Maoqing Shi, Gejun Niu, Tianyuan Zhang, Aimin Xu, Rimei Zheng, Abdulla Yusuf, Taoda Shi, Wenhao Hu, Yu Qian|2023|Chem.Commun.|59|10311|doi:10.1039/D3CC03253A
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: 10.5281/zenodo.8275583
title: ELITE land surface temperature: Landsat LST over China (2012.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 7 in January 2012. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 7 in July 2012. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2012.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275582
title: ELITE land surface temperature: Landsat LST over China (2012.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity . Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 7 in January 2012. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 7 in July 2012. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2012.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5517/ccdc.csd.cc2fhdq2
title: CCDC 2249134: Experimental Crystal Structure Determination

description: Related Article: Hanhua Xu, Ze-Jie Lv, Junnian Wei, Zhenfeng Xi|2023|Dalton Trans.|52|11565|doi:10.1039/D3DT01767B
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: 10.17632/2dgczhmnx6.1
title: JDS miRNA supplemental Figure S7

description: Scatter plots illustrating the number of reads (log-transformed) of each of the 34 differential abundant circulating miRNAs in the 34 samples.
DOI: 10.17632/2dgczhmnx6.2
title: JDS miRNA supplemental Figure S7

description: Scatter plots illustrating the number of reads (log-transformed) of each of the 34 differential abundant circulating miRNAs in the 34 samples.
DOI: 10.5517/ccdc.csd.cc2g5190
title: CCDC 2268961: Experimental Crystal Structure Determination

description: Related Article: Ling-Kun Wu, Qing-Hua Zou, Hai-Quan Yao, Heng-Yun Ye, Jian-Rong Li|2023|Dalton Trans.|52|11558|doi:10.1039/D3DT01823G
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.cc2gfddq
title: CCDC 2276993: Experimental Crystal Structure Determination

description: Related Article: Vivian Xu, Bedraj Pandey, J. P. I. Dulmini Jayawardhena, Jeanette A. Krause, Hairong Guan|2023|Dalton Trans.|52|11543|doi:10.1039/D3DT02023A
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.cc2gfdfr
title: CCDC 2276994: Experimental Crystal Structure Determination

description: Related Article: Vivian Xu, Bedraj Pandey, J. P. I. Dulmini Jayawardhena, Jeanette A. Krause, Hairong Guan|2023|Dalton Trans.|52|11543|doi:10.1039/D3DT02023A
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.cc2gfdht
title: CCDC 2276996: Experimental Crystal Structure Determination

description: Related Article: Vivian Xu, Bedraj Pandey, J. P. I. Dulmini Jayawardhena, Jeanette A. Krause, Hairong Guan|2023|Dalton Trans.|52|11543|doi:10.1039/D3DT02023A
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: 10.5281/zenodo.8289079
title: EU-TEACHING / teaching-avionics-dataset

description: The dataset contains traces concerning the behaviour of critical software tasks of an embedded Flight Management System and generated by during the execution of multiple flight plans. Traces have been generated under diverse conditions spanning both normal execution and anomalous execution due to attacks/irregularities. Such behavioural traces are used as training samples to build the AI-based anomaly detection system which is part of the TEACHING final demonstrators. The dataset is released under a permissive Creative Commons Attribution Non-Commercial ShareAlike 4.0 International public license (CC BY-NC-SA). The dataset is publicly available on the TEACHING Github at https://github.com/EU-TEACHING/teaching-avionics-dataset.
DOI: 10.5281/zenodo.8289078
title: EU-TEACHING / teaching-avionics-dataset

description: The dataset contains traces concerning the behaviour of critical software tasks of an embedded Flight Management System and generated by during the execution of multiple flight plans. Traces have been generated under diverse conditions spanning both normal execution and anomalous execution due to attacks/irregularities. Such behavioural traces are used as training samples to build the AI-based anomaly detection system which is part of the TEACHING final demonstrators. The dataset is released under a permissive Creative Commons Attribution Non-Commercial ShareAlike 4.0 International public license (CC BY-NC-SA). The dataset is publicly available on the TEACHING Github at https://github.com/EU-TEACHING/teaching-avionics-dataset.
DOI: 10.5281/zenodo.8275594
title: ELITE land surface temperature: Landsat LST over China (2014.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in January 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in July 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275593
title: ELITE land surface temperature: Landsat LST over China (2014.1)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in January 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in July 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.1 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275596
title: ELITE land surface temperature: Landsat LST over China (2014.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in July 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8275595
title: ELITE land surface temperature: Landsat LST over China (2014.7)

description: The <strong>E</strong>ssential therma<strong>L</strong> <strong>I</strong>nfrared remo<strong>T</strong>e s<strong>E</strong>nsing (<strong>ELITE</strong>) product suite currently has four types of products, including land surface temperature (LST: clear-sky and all-sky), emissivity (NBE: narrowband emissivity; BBE: broadband emissivity; and spectral emissivity), the component of surface radiation and energy budget (SLUR: surface longwave upwelling radiation; SLDR: surface longwave downward radiation SLDR; SLNR: surface longwave net radiation), and the component of Earth’s radiation budget (OLR; outgoing longwave radiation; RSR: reflected solar radiation). The spatial-temporal resolutions of the ELITE products are mainly determined by the employed satellite data sources. For more information about ELITE products, please refer to the website (https://elite.bnu.edu.cn). This dataset is the ELITE Landsat LST dataset over China generated by the radiative transfer method (Cheng et al., 2021). Firstly, a new scheme was used to determine the real-time Landsat 5/7/8 narrowband emissivity. Then, the MERRA2 reanalysis product was used for thermal infrared data atmospheric correction (Meng and Cheng, 2018). Finally, an LST product with 30m spatial resolution was generated using the radiative transfer equation method. This is the ELITE Landsat LST dataset from Landsat 8 in July 2014. Please <em>click here</em> to download the ELITE Landsat LST from Landsat 8 in January 2014. <strong>Dataset Characteristics:</strong> Spatial Coverage: China Temporal Coverage: 2014.7 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.01 <strong>Citation </strong>(Please cite these papers when using the data)<strong>:</strong> Cheng, J., Meng, X., Dong, S., & Liang, S. (2021). Generating the 30-m land surface temperature product over continental China and USA from landsat 5/7/8 data. Science of Remote Sensing, 4, 100032 Meng, X., & Cheng, J. (2018). Evaluating Eight Global Reanalysis Products for Atmospheric Correction of Thermal Infrared Sensor—Application to Landsat 8 TIRS10 Data. Remote Sensing, 10, 474 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).