cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8308449
title: ELITE emissivity: Global Landsat NBE (2020.1.1-2020.1.15)

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 narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset for Landsat 8 from January 1, 2020 to January 15,2020. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset for Landsat 8 from January 16, 2020 to January 31, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.1-2020.1.15 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8311188
title: ELITE emissivity: Global Landsat NBE (2020.1.16-2020.1.31)

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 narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset for Landsat 8 from January 16, 2020 to January 31,2020. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset for Landsat 8 from January 1, 2020 to January 15, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.16-2020.1.31 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8385394
title: Mg/Ca and Stable isotopes measured on G. inflata of sediment core PS75/059-2 for the last ~420 ka

description: Mg/Ca and Stable isotopes measured on G. inflata of sediment core PS75/059-2 for the last ~420 ka
DOI: 10.5281/zenodo.8311187
title: ELITE emissivity: Global Landsat NBE (2020.1.16-2020.1.31)

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 narrowband (NBE) emissivity dataset (Landsat8 Channel 10) over the continental United States (Cheng et al. 2021). For the non-vegetated surfaces, the LSEs were estimated using an empirical method that establishes the linkages between the ASTER NBE product and the Landsat SR product. For the vegetated surfaces, the LSEs were derived by using the 4SAIL model established lookup table (LUT) provided with the NBE of the leaf emissivity, soil background emissivity, and leaf area index (LAI). This is the ELITE Landsat NBE dataset for Landsat 8 from January 16, 2020 to January 31,2020. Please <strong><em>click here</em></strong> to download the ELITE Landsat NBE dataset for Landsat 8 from January 1, 2020 to January 15, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.16-2020.1.31 Spatial Resolution: 30m Temporal Resolution: 16 days Data Format: Geotiff Scale: 0.001 <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 If you have any questions, please contact Prof. Jie Cheng (eliteqrs@126.com).
DOI: 10.5281/zenodo.8385393
title: Mg/Ca and Stable isotopes measured on G. inflata of sediment core PS75/059-2 for the last ~420 ka

description: Mg/Ca and Stable isotopes measured on G. inflata of sediment core PS75/059-2 for the last ~420 ka
DOI: 10.5281/zenodo.8304131
title: ELITE land surface temperature: Global Landsat LST (2020.1.1-2020.1.5)

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 Global ELITE Landsat LST dataset 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 for Landsat 8 from January 1, 2020 to January 5, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 6, 2020 to January 10, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage:Global landmass Temporal Coverage: 2020.1.1-2020.1.5 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.8304130
title: ELITE land surface temperature: Global Landsat LST (2020.1.1-2020.1.5)

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 Global ELITE Landsat LST dataset 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 for Landsat 8 from January 1, 2020 to January 5, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 6, 2020 to January 10, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage:Global landmass Temporal Coverage: 2020.1.1-2020.1.5 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.8312636
title: ELITE land surface temperature: Global Landsat LST (2020.1.6-2020.1.10)

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 Global ELITE Landsat LST dataset 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 for Landsat 8 from January 6, 2020 to January 10, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 1, 2020 to January 5, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 11, 2020 to January 15, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.6-2020.1.10 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.8312637
title: ELITE land surface temperature: Global Landsat LST (2020.1.6-2020.1.10)

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 Global ELITE Landsat LST dataset 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 for Landsat 8 from January 6, 2020 to January 10, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 1, 2020 to January 5, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 11, 2020 to January 15, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.6-2020.1.10 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: 10.48579/pro/fzefme
title: Data from: New light shed on Triadophlebiomorpha wing morphology and systematics (Insecta: Odonata)

description: The Reflectance Transforming Imaging (RTI) documentation contained in this dataset involved the specimens SMNS Grauvogel collection 7885 (‘Staatliches Museum für Naturkunde Stuttgart’, Stuttgart, Germany; wing base; holotype of ‘Triadotypus’ guillaumei), the specimen SNSB-BSPG 1908 I 49 (‘Bayerische Staatssammlung für Paläontologie und Geologie’, Munich, Germany; holotype of Reisia gelasii) and the specimen MNHN.F.B09711 (Palaeontology collection, Muséum National d’Histoire Naturelle, Paris, France; holotype of Piroutetia liasina Meunier, 1907). Photographs were taken using a digital camera Canon EOS 5DS coupled to a Canon 50 mm macro lens (specimen SNSB-BSPG 1908 I 49) and a Canon MP-E 65 mm macro lens (specimens SMNS Grauvogel collection 7885 and MNHN.F.B09711) (all Canon, Tokyo, Japan). Each RTI file was derived from a set of 54 photographs obtained using a light dome of about 30 cm in diameter and equipped with the same number of LEDs (but because of the expansion of the MP-E 65 mm macro lens inside the dome, only 47 photographs were useful in the case of the wing base of the holotype of the specimen SMNS Grauvogel collection 7885). Both the light dome and camera were driven by a control box. Obtained images were then batch-optimized using Adobe Photoshop CS6 and were further compiled into an RTI file using the RTI Builder software v.2.0.2 using the HSH fitter (software freely available from Cultural Heritage Imaging). The holotype of Piroutetia liasina is crossed by a fault filled with calcite. As a consequence, the two sides mismatch. In order to ease comparison with other taxa, they were readjusted digitally prior to the computation of the RTI file, as part of the batch-optimization. The RTIViewer v1.1 software, available from Cultural Heritage Imaging, allows visualizing these files.
DOI: 10.5281/zenodo.8385313
title: Data for "Absolute binding free energy calculation based on the fragment molecular orbital method and its application in designing novel SHP-2 allosteric inhibitors"

description: Data for publication "Absolute binding free energy calculation based on the fragment molecular orbital method and its application in designing novel SHP-2 allosteric inhibitors".All structures of complex and input files for FMO , FMO/SMD , FMO/PCM , and COSMO calculation are provided .
DOI: 10.5281/zenodo.8385312
title: Data for "Absolute binding free energy calculation based on the fragment molecular orbital method and its application in designing novel SHP-2 allosteric inhibitors"

description: Data for publication "Absolute binding free energy calculation based on the fragment molecular orbital method and its application in designing novel SHP-2 allosteric inhibitors".All structures of complex and input files for FMO , FMO/SMD , FMO/PCM , and COSMO calculation are provided .
DOI: 10.5281/zenodo.8385419
title: Data set to 'Microplastics in aquaculture - potential impacts on inflammatory processes in Nile tilapia'

description: Raw and analyzed data sets to the publication 'Microplastics in aquaculture - potential impacts on inflammatory processes in Nile tilapia'
DOI: 10.5281/zenodo.8385418
title: Data set to 'Microplastics in aquaculture - potential impacts on inflammatory processes in Nile tilapia'

description: Raw and analyzed data sets to the publication 'Microplastics in aquaculture - potential impacts on inflammatory processes in Nile tilapia'
DOI: 10.5281/zenodo.8312641
title: ELITE land surface temperature: Global Landsat LST (2020.1.11-2020.1.15)

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 Global ELITE Landsat LST dataset 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 for Landsat 8 from January 11, 2020 to January 15, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 6, 2020 to January 10, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 16, 2020 to January 20, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.11-2020.1.15 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).