cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2d1g75
title: CCDC 2205936: Experimental Crystal Structure Determination

description: Related Article: Sarah A. French, Christopher J. Sumby, David M. Huang, Jonathan H. George|2022|J.Am.Chem.Soc.|144|22844|doi:10.1021/jacs.2c09978
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.cc2d9nlz
title: CCDC 2213821: Experimental Crystal Structure Determination

description: Related Article: Jordan K. Pierce, Lindsey D. Hiatt, James R. Howard, Huaiyuan Hu, Fengrui Qu, Kevin H. Shaughnessy|2022|Organometallics|41|3861|doi:10.1021/acs.organomet.2c00518
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.cc2d9nn1
title: CCDC 2213823: Experimental Crystal Structure Determination

description: Related Article: Jordan K. Pierce, Lindsey D. Hiatt, James R. Howard, Huaiyuan Hu, Fengrui Qu, Kevin H. Shaughnessy|2022|Organometallics|41|3861|doi:10.1021/acs.organomet.2c00518
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.7498056
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2019 (001–177)

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 FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2019 (001–177). Please <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2018 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2019 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5281/zenodo.7498055
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 250m SIN Grid in 2019 (001–177)

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 FVC product at 250m spatial resolution and 8-day temporal resolution. The MUSES FVC product is provided on a Sinusoidal grid and spans from 2000 to 2019 (continuously updated). It was generated from the MUSES LAI product at 250m resolution and other ancillary information using the complement to unity of the transmittance of light through the entire canopy in the nadir viewing direction (Xiao <em>et al</em>., 2016). The MUSES FVC values are physically consistent with the corresponding MUSES LAI values. The MUSES FVC product is spatially complete and temporally continuous. This dataset is the MUSES FVC product in 2019 (001–177). Please <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2018 (185–361)</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2019 (185–361</strong></em><em><strong>)</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 (001–177) Spatial Resolution: 250m Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.01 Valid Range: 0 – 100 <strong>Citation </strong>(Please cite this paper whenever these data are used)<strong>:</strong> Xiao Zhiqiang, <em>et a</em>l. (2016). Estimating the Fractional Vegetation Cover from GLASS Leaf Area Index Product. <em>Remote Sensing</em>, 8, 337. If you have any questions, please contact Prof. Zhiqiang Xiao (zhqxiao@bnu.edu.cn).
DOI: 10.5517/ccdc.csd.cc2dbx5v
title: CCDC 2215017: Experimental Crystal Structure Determination

description: Related Article: Mei Duan, You Wang, Shaolin Zhu|2022|Tetrahedron Lett.|114|154247|doi:10.1016/j.tetlet.2022.154247
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.cc2dc194
title: CCDC 2215145: Experimental Crystal Structure Determination

description: Related Article: Maria Talavera, Raquel Pereira-Cameselle, Ángeles Peña-Gallego, Irene Vázquez-Carballo, Inmaculada Prieto, J. Lorenzo Alonso-Gómez, Sandra Bolaño|2022|Dalton Trans.|52|487|doi:10.1039/D2DT03465D
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.cc2bhfcn
title: CCDC 2159781: Experimental Crystal Structure Determination

description: Related Article: Jan. A. Zienkiewicz, Karolina Kaduńska, Katarzyna Fedoruk, Antonio J. Barros dos Santos, Mariusz Stefanski, Waldeci Paraguassu, Tadeusz M. Muzio, Maciej Ptak|2022|Inorg.Chem.|61|20886|doi:10.1021/acs.inorgchem.2c03287
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.cc2bhl0g
title: CCDC 2159925: Experimental Crystal Structure Determination

description: Related Article: Rong-Da Lai, Zeng-Kui Zhu, Yan-lan Wu, Yan-Qiong Sun, Cai Sun, Xin-Xiong Li, Shou-Tian Zheng|2022|Inorg.Chem.|61|21047|doi:10.1021/acs.inorgchem.2c03576
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.7502614
title: IODP Expedition 351 Magnetic remanence (SRM-longcore)

description: Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
DOI: 10.5281/zenodo.7502613
title: IODP Expedition 351 Magnetic remanence (SRM-longcore)

description: Magnetic remanence was measured on section halves (and rarely on whole-round sections) using a 2G Enterprises 760R cryogenic magnetometer, first as natural remanent magnetization (NRM) and then after demagnetization steps were performed on the samples by alternating field (AF) demagnetizer coils mounted in-line within the instrument.
DOI: 10.5281/zenodo.7094044
title: IODP Expedition 351 Scanning electron microscope images

description: Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
DOI: 10.5281/zenodo.7094043
title: IODP Expedition 351 Scanning electron microscope images

description: Microscopic images of discrete samples were acquired using a scanning electron microscope (SEM) and captured as image files. These files were uploaded along with a brief description and a record of the microscopic conditions when the image was taken.
DOI: 10.25914/5f7565ead2799
title: Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium squared over thorium
DOI: 10.25914/5f7565bfa7ee9
title: Radiometric Grid of Australia (Radmap) v4 2019 ratio thorium over potassium
DOI: 10.25914/5f7566e8284fc
title: Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium over thorium
DOI: 10.25914/5f7565a94c9ec
title: Radiometric Grid of Australia (Radmap) v4 2019 filtered pct potassium grid
DOI: 10.25914/5f7566824f9c7
title: Radiometric Grid of Australia (Radmap) v4 2019 ratio uranium over potassium
DOI: 10.25914/5f7564f7cad07
title: Radiometric Grid of Australia (Radmap) v4 2019 unfiltered terrestrial dose rate
DOI: 10.25914/5f75654e8d12a
title: Radiometric Grid of Australia (Radmap) v4 2019 filtered terrestrial dose rate
DOI: 10.25914/5f75657fc73ec
title: Radiometric Grid of Australia (Radmap) v4 2019 unfiltered pct potassium
DOI: 10.25914/5f7566578b894
title: Radiometric Grid of Australia (Radmap) v4 2019 filtered ppm uranium
DOI: 10.25914/5f75664b5ab4a
title: Radiometric Grid of Australia (Radmap) v4 2019 unfiltered ppm thorium
DOI: 10.25914/5f75661700266
title: Radiometric Grid of Australia (Radmap) v4 2019 unfiltered ppm uranium
DOI: 10.25914/5f75659054697
title: Radiometric Grid of Australia (Radmap) v4 2019 filtered ppm thorium
DOI: 10.25914/5f75640aae140
title: Total Magnetic Intensity Grid of Australia 2019 - First Vertical Derivative (1VD)
DOI: 10.25914/5f756475c7fea
title: Total Magnetic Intensity (TMI) Grid of Australia 2019 - seventh edition - 40 m cell size
DOI: 10.6084/m9.figshare.21791756
title: Supplemental Table 3

description: Master relative abundance dataset.
DOI: 10.6084/m9.figshare.21791756.v1
title: Supplemental Table 3

description: Master relative abundance dataset.
DOI: 10.25914/5f756440af920
title: Total Magnetic Intensity (TMI) Grid of Australia 2019 - seventh edition - 80 m cell size
DOI: 10.25914/5f7564adc0c8a
title: Total Magnetic Intensity (TMI) Grid of Australia with Variable Reduction to Pole (VRTP) 2019 - seventh edition
DOI: 10.5281/zenodo.7502652
title: Data for 1D/2D verification of AWP-ODC-Iwan implementation

description: Input data files and output synthetics for 1D and 2D benchmarks for Noah, Noah2D, and AWP-ODC-Iwan.
DOI: 10.5281/zenodo.7502651
title: Data for 1D/2D verification of AWP-ODC-Iwan implementation

description: Input data files and output synthetics for 1D and 2D benchmarks for Noah, Noah2D, and AWP-ODC-Iwan.
DOI: 10.5281/zenodo.7500885
title: Atmospheric Dust Source Contributions and Synoptic Scale Adjustments in the East Asian Region in April of 2021

description: The WRF-Chem simulations were conducted to assess the source contributions to the concentrations and ratios across the East Asian region in April 2021. The WRF-Chem baseline was compiled, and sensitivity simulations were conducted regarding the source contributions to the concentrations of PM10 BASE, PM10 Anthro, PM10 Dust, and PM10 Biomass. In our dataset, you can find PM10 concentrations of WRF-Chem baseline simulations and other sensitivity-simulated PM10 concentrations of multi-sources of anthropogenic, wind-blown dust, and biomass-burning emissions. Furthermore, model meteorological variables of air temperature, wind, surface level pressure, and geopotential height can be found here. If you have any difficulty downloading these datasets, please feel free to contact the first author, kimhsung@gmail.com. All references and acknowledgments can be found in our paper.
DOI: 10.5281/zenodo.7500884
title: Atmospheric Dust Source Contributions and Synoptic Scale Adjustments in the East Asian Region in April of 2021

description: The WRF-Chem simulations were conducted to assess the source contributions to the concentrations and ratios across the East Asian region in April 2021. The WRF-Chem baseline was compiled, and sensitivity simulations were conducted regarding the source contributions to the concentrations of PM10 BASE, PM10 Anthro, PM10 Dust, and PM10 Biomass. In our dataset, you can find PM10 concentrations of WRF-Chem baseline simulations and other sensitivity-simulated PM10 concentrations of multi-sources of anthropogenic, wind-blown dust, and biomass-burning emissions. Furthermore, model meteorological variables of air temperature, wind, surface level pressure, and geopotential height can be found here. If you have any difficulty downloading these datasets, please feel free to contact the first author, kimhsung@gmail.com. All references and acknowledgments can be found in our paper.
DOI: 10.25914/5f7567c199dc8
title: Complete Bouguer Gravity Anomaly Grid of Onshore Australia 2016
DOI: 10.25914/5f8581a50eb3e
title: Location of electromagnetic surveys conducted in Australia
DOI: 10.6084/m9.figshare.21809838
title: Examining the immunoepigenetic-gut microbiome axis in the context of self-esteem among Native Hawaiians and other Pacific Islanders

description: There are two parts of the dataset: <br> - Metadata consists of demographic variables used in the analysis <br> - OTU file consists of the absolute abundance of each sample <br> <br> sn is a participant number matching between the metadata and OTU file
DOI: 10.6084/m9.figshare.21809838.v1
title: Examining the immunoepigenetic-gut microbiome axis in the context of self-esteem among Native Hawaiians and other Pacific Islanders

description: There are two parts of the dataset: <br> - Metadata consists of demographic variables used in the analysis <br> - OTU file consists of the absolute abundance of each sample <br> <br> sn is a participant number matching between the metadata and OTU file
DOI: 10.25914/5f756827e3eb2
title: Bouguer Gravity Anomaly Grid of Onshore Australia 2016
DOI: 10.25914/6052c91e43be2
title: Geoscience Australia Airborne Geophysical Survey Sub-collection
DOI: 10.25914/5f76b265d7ce0
title: Geoscience Australia National Geophysical Compilations Sub-collection
DOI: 10.25914/6052c810995b2
title: Geoscience Australia Marine Potential Field Survey Sub-collection
DOI: 10.25914/6052c73e854c1
title: Geoscience Australia Ground Gravity Survey Sub-collection
DOI: 10.25914/5f7567f94a5cd
title: Isostatic Residual Gravity Anomaly Grid of Onshore Australia 2016
DOI: 10.25914/dq0f-dz65
title: ERA5 monthly averaged by hour of day data on potential vorticity levels

description: ERA5 is the fifth generation model reanalysis of the global climate from the European Centre for Medium-range Weather Forecasts (ECMWF). Data at NCI is replicated through the Meteorological Archival and Retrieval System (MARS) and hosted for use by the Australian research community. This dataset includes monthly averaged by hour of day (MNTH) data on potential vorticity levels from 1979 to present time (approx. 3 months in arrears). Please note that the initial release of this dataset may not include all available products. Please see the NCI ERA5 Community site for information on the NCI data replication status. Full details of the model and outputs can be found in the ECMWF ERA5 Data Documentation.
DOI: 10.5281/zenodo.6983982
title: Data Set for Sandanbata et al. (2022: JGR-Solid Earth) entitled "Sub-decadal Volcanic Tsunamis Due to Submarine Trapdoor Faulting at Sumisu Caldera in the Izu-Bonin Arc"

description: <strong>Descriptions</strong> This dataset contains supplementary materials for the following research article: Sandanbata, O., Watada, S., Satake, K., Kanamori, H., Rivera, L., & Zhan, Z. (2022). Sub-decadal volcanic tsunamis due to submarine trapdoor faulting at Sumisu caldera in the Izu–Bonin Arc. <em>Journal of Geophysical Research: Solid Earth</em>, 127, e2022JB024213. https://doi.org/10.1029/2022JB024213 We construct earthquake source models for the 2015 earthquake at Sumisu caldera in the Izu-Bonin Arc. Four source models, presented in Figures 4a, S8a, S9a, and S14a, are contained in this dataset.
DOI: 10.5281/zenodo.6983981
title: Data Set for Sandanbata et al. (2022: JGR-Solid Earth) entitled "Sub-decadal Volcanic Tsunamis Due to Submarine Trapdoor Faulting at Sumisu Caldera in the Izu-Bonin Arc"

description: <strong>Descriptions</strong> This dataset contains supplementary materials for the following research article: Sandanbata, O., Watada, S., Satake, K., Kanamori, H., Rivera, L., & Zhan, Z. (2022). Sub-decadal volcanic tsunamis due to submarine trapdoor faulting at Sumisu caldera in the Izu–Bonin Arc. <em>Journal of Geophysical Research: Solid Earth</em>, 127, e2022JB024213. https://doi.org/10.1029/2022JB024213 We construct earthquake source models for the 2015 earthquake at Sumisu caldera in the Izu-Bonin Arc. Four source models, presented in Figures 4a, S8a, S9a, and S14a, are contained in this dataset.
DOI: 10.25914/5fb115a54fdce
title: ERA5 monthly averaged by hour of day data on single levels
DOI: 10.25914/5fb115b38e938
title: ERA5 monthly averaged by hour of day on pressure levels
DOI: 10.25914/5fb115c72c285
title: ERA5-Land monthly averaged by hour of day
DOI: 10.25914/5fb115a110c9e
title: ERA5 monthly averaged data on single levels
DOI: 10.25914/5fb115c1e621e
title: ERA5-Land monthly averaged by day
DOI: 10.5517/ccdc.csd.cc2cy9tg
title: CCDC 2202916: Experimental Crystal Structure Determination

description: Related Article: Clemens Kaußler, Darren Wragg, Claudia Schmidt, Guillermo Moreno-Alcántar, Christian Jandl, Johannes Stephan, Roland A. Fischer, Stefano Leoni, Angela Casini, Riccardo Bonsignore|2022|Inorg.Chem.|61|20405|doi:10.1021/acs.inorgchem.2c03041
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: 10.25914/5fb115aeb3c27
title: ERA5 monthly averaged on pressure levels
DOI: 10.5517/ccdc.csd.cc2cy9vh
title: CCDC 2202917: Experimental Crystal Structure Determination

description: Related Article: Clemens Kaußler, Darren Wragg, Claudia Schmidt, Guillermo Moreno-Alcántar, Christian Jandl, Johannes Stephan, Roland A. Fischer, Stefano Leoni, Angela Casini, Riccardo Bonsignore|2022|Inorg.Chem.|61|20405|doi:10.1021/acs.inorgchem.2c03041
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.cc2cy9wj
title: CCDC 2202918: Experimental Crystal Structure Determination

description: Related Article: Clemens Kaußler, Darren Wragg, Claudia Schmidt, Guillermo Moreno-Alcántar, Christian Jandl, Johannes Stephan, Roland A. Fischer, Stefano Leoni, Angela Casini, Riccardo Bonsignore|2022|Inorg.Chem.|61|20405|doi:10.1021/acs.inorgchem.2c03041
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.cc2cy9xk
title: CCDC 2202919: Experimental Crystal Structure Determination

description: Related Article: Clemens Kaußler, Darren Wragg, Claudia Schmidt, Guillermo Moreno-Alcántar, Christian Jandl, Johannes Stephan, Roland A. Fischer, Stefano Leoni, Angela Casini, Riccardo Bonsignore|2022|Inorg.Chem.|61|20405|doi:10.1021/acs.inorgchem.2c03041
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.cc2cy9yl
title: CCDC 2202920: Experimental Crystal Structure Determination

description: Related Article: Clemens Kaußler, Darren Wragg, Claudia Schmidt, Guillermo Moreno-Alcántar, Christian Jandl, Johannes Stephan, Roland A. Fischer, Stefano Leoni, Angela Casini, Riccardo Bonsignore|2022|Inorg.Chem.|61|20405|doi:10.1021/acs.inorgchem.2c03041
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.cc2czm55
title: CCDC 2204167: Experimental Crystal Structure Determination

description: Related Article: Cambell S. Conour, Daniel G. Droege, Beatriz Ehlke, Timothy C. Johnstone, Scott R. J. Oliver|2022|Inorg.Chem.|61|20824|doi:10.1021/acs.inorgchem.2c03110
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.