cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8385295
title: Database of Short Term Damage Equivalent Loads (DEL) of IWT7.5MW wind turbine depending on wind, TI, yaw and derating

description: Two datasets for short term damage equivalent loads (DEL) and energy production of the IWT7.5 MW research wind turbine (https://doi.org/10.24406/IWES-N-518562) are provided. dataset_Derating is a subset of dataSet_Derating_withYaw. The damage equivalent loads are computed with the rainflow counting algorithm applied to time series loads. They are based on Miner's rule. Further details can be found in: <br> Requate, N., Meyer, T., and Hofmann, R.: From wind conditions to operational strategy: Optimal planning of wind turbine damage progression over its lifetime, Wind Energ. Sci., accepted for publication, 2023. In the paper, the dataset_Derating was used to create surrogate models. A fullfactorial approach to simulate different parameter-combination was applied. <br> Information about the signals and units is provided in the yml files.<br> The range of parameters is given by python code in the yml file. <br> For each set of parameters, 6 different 10 minute-realizations of a turbulent wind field ("seeds") were created. The turbine was then simulated separately for each turbulent wind field.<br> Each folder contains the short term DELs for each 10 minute simulation and the aggregated short term DELs over all 6 wind realizations. Outliers from simulation error were removed.<br> The data was originally intended to create surrogate models of the variation of outputs values throughout the parameter space. Further usage is possible and encouraged.
DOI: 10.5281/zenodo.8313500
title: ELITE land surface temperature: Global Landsat LST (2020.1.26-2020.1.30)

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 26, 2020 to January 30, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 21, 2020 to January 25, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 on January 31, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.26-2020.1.30 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.8312640
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).
DOI: 10.5281/zenodo.8313495
title: ELITE land surface temperature: Global Landsat LST (2020.1.21-2020.1.25)

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 21, 2020 to January 25, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 16, 2020 to January 20, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 26, 2020 to January 30, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.21-2020.1.25 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.8313496
title: ELITE land surface temperature: Global Landsat LST (2020.1.21-2020.1.25)

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 21, 2020 to January 25, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 16, 2020 to January 20, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 26, 2020 to January 30, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.21-2020.1.25 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.8313499
title: ELITE land surface temperature: Global Landsat LST (2020.1.26-2020.1.30)

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 26, 2020 to January 30, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 21, 2020 to January 25, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 on January 31, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.26-2020.1.30 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.8312646
title: ELITE land surface temperature: Global Landsat LST (2020.1.16-2020.1.20)

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 16, 2020 to January 20, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 11, 2020 to January 15, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 21, 2020 to January 25, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.16-2020.1.20 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.8312645
title: ELITE land surface temperature: Global Landsat LST (2020.1.16-2020.1.20)

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 16, 2020 to January 20, 2020. Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 11, 2020 to January 15, 2020 and <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 21, 2020 to January 25, 2020. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.16-2020.1.20 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.7978721
title: HHD-Ethiopic: A Historical Handwritten Dataset for Ethiopic OCR

description: HHD-Ethiopic is a historical handwritten dataset for Ethiopic text-image recognition.
description: This work was partially supported by ChaLearn, the ANR ( L'agence Nationale de la Recherche)288 under the Chair for AI Democratization , project grant number ANR-19-CHIA-0022 and ICT4D289 research center of Bahir Dar Institute of Technology.
DOI: 10.5281/zenodo.7978722
title: HHD-Ethiopic: A Historical Handwritten Dataset for Ethiopic OCR

description: HHD-Ethiopic is a historical handwritten dataset for Ethiopic text-image recognition.
description: This work was partially supported by ChaLearn, the ANR ( L'agence Nationale de la Recherche)288 under the Chair for AI Democratization , project grant number ANR-19-CHIA-0022 and ICT4D289 research center of Bahir Dar Institute of Technology.
DOI: 10.5281/zenodo.8313508
title: ELITE land surface temperature: Global Landsat LST (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 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 on January 31, 2020 . Please <em>click here</em> to download the ELITE Landsat LST for Landsat 8 from January 26, 2020 to January 30, 2020 <strong>Dataset Characteristics:</strong> Spatial Coverage: Global landmsss Temporal Coverage: 2020.1.31 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).