cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7588842
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2000

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2000. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2001</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2000 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7588841
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2000

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2000. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2001</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2000 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7587968
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2002

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2002. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2001</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2003</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2002 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7587967
title: MUSES Leaf Area Index (LAI) 8-Day Global 1km SIN Grid in 2002

description: The MUltiscale Satellite remotE Sensing (MUSES) product suite includes products with different spatial and temporal resolutions for parameters such as Normalized Difference Vegetation Index (NDVI), Near-Infrared Reflectance of Vegetation (NIRv), Leaf Area Index (LAI), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fractional Vegetation Coverage (FVC), Gross Primary Production (GPP), Net Primary Production (NPP). For more information about the MUSES products, please refer to this website (https://muses.bnu.edu.cn/). This dataset is the MUSES global LAI product at 1km spatial resolution and 8-day temporal resolution. The MUSES LAI product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from time-series Moderate Resolution Imaging Spectroradiometer (MODIS) surface reflectance product using general regression neural networks (GRNNs) (Xiao <em>et al</em>., 2014; Xiao <em>et al.</em>, 2016). The MUSES LAI product is spatially complete and temporally continuous. This dataset is the MUSES LAI product in 2002. <em>Please <strong>click here</strong> to download the MUSES LAI product<strong> in 2001</strong></em>, and <em><strong>click here</strong> to download the MUSES LAI product <strong>in 2003</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2002 Spatial Resolution: 1km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 1000 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et al</em>. (2014). Use of General Regression Neural Networks for Generating the GLASS Leaf Area Index Product From Time-Series MODIS Surface Reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 52, 209-223. Xiao Zhiqiang, <em>et al</em>. (2016). Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. <em>IEEE Transactions on Geoscience and Remote Sensing</em>, 54, 5301-5318. Xiao Zhiqiang, Jinling Song, Hua Yang, Rui Sun and Juan Li. (2022). A 250 m resolution global leaf area index product derived from MODIS surface reflectance data. <em>International Journal of Remote Sensing</em>, 43(4), 1199-1225. Xiao Zhiqiang, <em>et al</em>. (2017). Evaluation of four long time-series global leaf area index products. <em>Agricultural and Forest Meteorology</em>, 246, 218-230. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5517/ccdc.csd.cc26rhp5
title: CCDC 2048377: Experimental Crystal Structure Determination

description: Related Article: Andreas O. Schüren, Benjamin M. Ridgway, Florencia Di Salvo, Luca M. Carella, Verena K. Gramm, Elisa Metzger, Fabio Doctorovich, Eva Rentschler, Volker Schünemann, Uwe Ruschewitz, Axel Klein|2023|Dalton Trans.|52|1277|doi:10.1039/D2DT03203A
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.cc2703r4
title: CCDC 2055695: Experimental Crystal Structure Determination

description: Related Article: Andreas O. Schüren, Benjamin M. Ridgway, Florencia Di Salvo, Luca M. Carella, Verena K. Gramm, Elisa Metzger, Fabio Doctorovich, Eva Rentschler, Volker Schünemann, Uwe Ruschewitz, Axel Klein|2023|Dalton Trans.|52|1277|doi:10.1039/D2DT03203A
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.cc24g0bz
title: CCDC 1979670: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc24g08x
title: CCDC 1979668: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc201r3y
title: CCDC 1848719: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc24g0d1
title: CCDC 1979672: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc24g09y
title: CCDC 1979669: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc201r0v
title: CCDC 1848716: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc201r1w
title: CCDC 1848717: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc24g06v
title: CCDC 1979666: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc24g07w
title: CCDC 1979667: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc24g05t
title: CCDC 1979665: Experimental Crystal Structure Determination

description: Related Article: You-Song Ding, William J. A. Blackmore, Yuan-Qi Zhai, Marcus J. Giansiracusa, Daniel Reta, Inigo Vitorica-Yrezabal, Richard E. P. Winpenny, Nicholas F. Chilton, Yan-Zhen Zheng|2022|Inorg.Chem.|61|227|doi:10.1021/acs.inorgchem.1c02779
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.cc27dgsx
title: CCDC 2067569: Experimental Crystal Structure Determination

description: Related Article: Luca Münzfeld, Xiaofei Sun, Sören Schlittenhardt, Christoph Schoo, Adrian Hauser, Sebastian Gillhuber, Florian Weigend, Mario Ruben, Peter W. Roesky|2022|Chemical Science|13|945|doi:10.1039/D1SC03805B
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.cc27dgty
title: CCDC 2067570: Experimental Crystal Structure Determination

description: Related Article: Luca Münzfeld, Xiaofei Sun, Sören Schlittenhardt, Christoph Schoo, Adrian Hauser, Sebastian Gillhuber, Florian Weigend, Mario Ruben, Peter W. Roesky|2022|Chemical Science|13|945|doi:10.1039/D1SC03805B
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.cc27dgvz
title: CCDC 2067571: Experimental Crystal Structure Determination

description: Related Article: Luca Münzfeld, Xiaofei Sun, Sören Schlittenhardt, Christoph Schoo, Adrian Hauser, Sebastian Gillhuber, Florian Weigend, Mario Ruben, Peter W. Roesky|2022|Chemical Science|13|945|doi:10.1039/D1SC03805B
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.cc27dgw0
title: CCDC 2067572: Experimental Crystal Structure Determination

description: Related Article: Luca Münzfeld, Xiaofei Sun, Sören Schlittenhardt, Christoph Schoo, Adrian Hauser, Sebastian Gillhuber, Florian Weigend, Mario Ruben, Peter W. Roesky|2022|Chemical Science|13|945|doi:10.1039/D1SC03805B
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.cc27dgx1
title: CCDC 2067573: Experimental Crystal Structure Determination

description: Related Article: Luca Münzfeld, Xiaofei Sun, Sören Schlittenhardt, Christoph Schoo, Adrian Hauser, Sebastian Gillhuber, Florian Weigend, Mario Ruben, Peter W. Roesky|2022|Chemical Science|13|945|doi:10.1039/D1SC03805B
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.cc27dgy2
title: CCDC 2067574: Experimental Crystal Structure Determination

description: Related Article: Luca Münzfeld, Xiaofei Sun, Sören Schlittenhardt, Christoph Schoo, Adrian Hauser, Sebastian Gillhuber, Florian Weigend, Mario Ruben, Peter W. Roesky|2022|Chemical Science|13|945|doi:10.1039/D1SC03805B
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.