cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xbn3hj4mz7.3
title: Full Top Down NOx Fire Emission 

description: This dataset provides the full top-down nitrogen oxides (NOx = NO2 + NO) fire emission estimation at the temporal resolution of one day and spatial resolution of 1o degree in northeastern Asia (longitude: 110 E–145 E; latitude: 40 N–55 N) during 2012–2019. We developed this dataset based on fire radiative power density from the public dataset Global Fire Assimilation System (GFAS, https://apps.ecmwf.int/datasets/data/cams-gfas/) and NOx EC derived in our research article Fu et al. (2022) entitled “Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia”. The data can be used as fundamental input data for climate and weather models, and can be applied for investigation of fire emission characteristic, fire emission feedback to climate, air quality, impacts on air pollution and human health effect. As a full top-down emission dataset, it can also serve as reference for other existing emission inventories that are mostly based on bottom-up approaches.
DOI: 10.17632/xbn3hj4mz7.1
title: Full Top Down NOx Fire Emission 

description: This dataset provides the full top-down nitrogen oxides (NOx = NO2 + NO) fire emission estimation at the temporal resolution of one day and spatial resolution of 1o degree in northeastern Asia ((longitude: 110 E–145 E; latitude: 40 N–55 N)) during 2012–2019. We developed this dataset based on fire radiative power flux from the Global Fire Assimilation System (GFAS, https://www.acom.ucar.edu/Data/fire/) and NOx EC derived in our research article Fu et al. (2022) entitled “Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia”. The data can be used as fundamental input data for climate and weather models, and can be applied for investigation of fire emission characteristic, fire emission feedback to climate, air quality, impacts on air pollution and human health effect. As a full top-down emission dataset, it can also serve as reference for other existing emission inventories that are mostly based on bottom-up approaches.
DOI: 10.17632/xbn3hj4mz7.2
title: Full Top Down NOx Fire Emission 

description: This dataset provides the full top-down nitrogen oxides (NOx = NO2 + NO) fire emission estimation at the temporal resolution of one day and spatial resolution of 1o degree in northeastern Asia (longitude: 110 E–145 E; latitude: 40 N–55 N) during 2012–2019. We developed this dataset based on fire radiative power flux from the Global Fire Assimilation System (GFAS, https://apps.ecmwf.int/datasets/data/cams-gfas/) and NOx EC derived in our research article Fu et al. (2022) entitled “Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia”. The data can be used as fundamental input data for climate and weather models, and can be applied for investigation of fire emission characteristic, fire emission feedback to climate, air quality, impacts on air pollution and human health effect. As a full top-down emission dataset, it can also serve as reference for other existing emission inventories that are mostly based on bottom-up approaches.
DOI: 10.17632/xbn3hj4mz7.4
title: Full Top Down NOx Fire Emission 

description: This dataset provides the full top-down nitrogen oxides (NOx = NO2 + NO) fire emission estimation at the temporal resolution of one day and spatial resolution of 1o degree in northeastern Asia (longitude: 110 E–145 E; latitude: 40 N–55 N) during 2012–2019. We developed this dataset based on fire radiative power density from the public dataset Global Fire Assimilation System (GFAS, https://apps.ecmwf.int/datasets/data/cams-gfas/) and NOx EC derived in our research article Fu et al. (2022) entitled “Investigating the impacts of satellite fire observation accuracy on the top-down nitrogen oxides emission estimation in northeastern Asia”. The data can be used as fundamental input data for climate and weather models, and can be applied for investigation of fire emission characteristic, fire emission feedback to climate, air quality, impacts on air pollution and human health effect. As a full top-down emission dataset, it can also serve as reference for other existing emission inventories that are mostly based on bottom-up approaches.
DOI: 10.17632/8c3w28t77d.1
title: ETS data source and FDM simulation of the reaction-cross-diffusion model

description: The ETS data for Cascadia subduction zone is obtained from the Jet Propulsion Laboratory, Caltech, and the data for Hikurangi subduction zone is from GeoNet, Geological hazard information for New Zealand.
(https://sideshow.jpl.nasa.gov/post/series.html, https://www.geonet.org.nz)

FDM (finite difference method) is used to numerically solve the model and fit the ETS data via Hopf instability. The validity of the simulation has been studied in our previous publication, where some other instability scenarios are also discussed. (https://doi.org/10.1093/gji/ggac115)
DOI: 10.17632/w9hpjv84k9.1
title: Artificial - Repair (modified)

description: This dataset is one of the data owned by Boudewijn van Dongen from Eindhoven University of Technology through the Web https://www.futurelearn.com/info/courses/process-mining/0/steps/15620. The dataset used is the Artificial - Repair dataset (but one column has been added, namely cost)
DOI: 10.17632/5cgxyhvzr6.1
title: NOP16 is a histone mimetic that regulates Histone H3K27 methylation and gene repression. Takashima K et al 

description: Raw data of Western blot data in this paper
DOI: 10.17632/sj8hwjxvf7.1
title: Successful grafting elite cocoa clones (Theobroma cacao L.) as a function of the age of rootstock

description: Agromorphological data of cocoa clones grafted at different rootstock ages in nursery.
DOI: 10.25919/t3wj-eq02
title: Black soldier fly larvae proteome dataset

description: Complementary protein extraction buffers were used to extract proteins from black soldier fly larvae body and gut.
DOI: 10.6073/pasta/9c27c057aa71a88f329606ae453184e9
title: Aquatic macrophyte, snail, and crayfish abundance and richness data for ten lakes in Vilas County, WI, USA, 1987-2020

description: Data accompanying the paper Szydlowski et al. "Macrophyte and snail community responses to 30 years of population declines of invasive rusty crayfish (Faxonius rusticus)." Macrophytes and snails were sampled in ten lakes in Vilas County, Wisconsin, USA during summer sampling events in 1987, 2002, 2011, and 2020. Lakes had varying levels of invasion by F. rusticus, which affected measures of macrophytes and snails. Macrophytes were sampled using a point-intercept transect method and snails were sampled using different sampler types which were dependent on substrate. Macrophytes were sampled at 6-14 sites per lake and snails were sampled at 16-31 sites per lake. Crayfish were regularly sampled at either 24 or 36 sites per lake between 1987 and 2020. Overall, this dataset provides abundance and richness data for over 25 species of snails and over 40 species of macrophytes in 10 north temperate lakes.
DOI: 10.6084/m9.figshare.21440877
title: test.txt

description: This file is only to test the data uploading
DOI: 10.6084/m9.figshare.21440877.v1
title: test.txt

description: This file is only to test the data uploading
DOI: 10.5281/zenodo.7268710
title: Database of Himalayan glacial lakes

description: This dataset contains a shapefile of 2231 Himalayan glacial lakes ranging in size between 875 m<sup>2</sup> to 5.6 km<sup>2</sup>. The lakes were manually digitized using high-resolution imagery in GoogleEarth in 2015. The dataset has been mapped and used by Schwanghart et al. (2016). In addition, the dataset contains a shapefile of the great circle that describes the Himalayan Arc (Bendick and Bilham, 2001) as well as a polygon shape which segments the Himalayan arc along the the great circle into 99 polygon. <strong>References</strong> Bendick, R. and Bilham, R.: How perfect is the Himalayan arc?, Geology, 29, 791–794, https://doi.org/10.1130/0091-7613(2001)029&lt;0791:HPITHA&gt;2.0.CO;2, 2001. Schwanghart, W., Worni, R., Huggel, C., Stoffel, M., and Korup, O.: Uncertainty in the Himalayan energy–water nexus: estimating regional exposure to glacial lake outburst floods, Environ. Res. Lett., 11, 074005, https://doi.org/10.1088/1748-9326/11/7/074005, 2016.
description: {"references": ["Schwanghart, W., Worni, R., Huggel, C., Stoffel, M., and Korup, O.: Uncertainty in the Himalayan energy\u2013water nexus: estimating regional exposure to glacial lake outburst floods, Environ. Res. Lett., 11, 074005, https://doi.org/10.1088/1748-9326/11/7/074005, 2016."]}
DOI: 10.5281/zenodo.7268709
title: Database of Himalayan glacial lakes

description: This dataset contains a shapefile of 2231 Himalayan glacial lakes ranging in size between 875 m<sup>2</sup> to 5.6 km<sup>2</sup>. The lakes were manually digitized using high-resolution imagery in GoogleEarth in 2015. The dataset has been mapped and used by Schwanghart et al. (2016). In addition, the dataset contains a shapefile of the great circle that describes the Himalayan Arc (Bendick and Bilham, 2001) as well as a polygon shape which segments the Himalayan arc along the the great circle into 99 polygon. <strong>References</strong> Bendick, R. and Bilham, R.: How perfect is the Himalayan arc?, Geology, 29, 791–794, https://doi.org/10.1130/0091-7613(2001)029&lt;0791:HPITHA&gt;2.0.CO;2, 2001. Schwanghart, W., Worni, R., Huggel, C., Stoffel, M., and Korup, O.: Uncertainty in the Himalayan energy–water nexus: estimating regional exposure to glacial lake outburst floods, Environ. Res. Lett., 11, 074005, https://doi.org/10.1088/1748-9326/11/7/074005, 2016.
description: {"references": ["Schwanghart, W., Worni, R., Huggel, C., Stoffel, M., and Korup, O.: Uncertainty in the Himalayan energy\u2013water nexus: estimating regional exposure to glacial lake outburst floods, Environ. Res. Lett., 11, 074005, https://doi.org/10.1088/1748-9326/11/7/074005, 2016."]}
DOI: 10.5517/ccdc.csd.cc298g9c
title: CCDC 2123292: Experimental Crystal Structure Determination

description: Related Article: Hai Li, Kai-Cheng Yu, Jia-Kun Su, Wei Ouyang, Nai-Li Fan, Xiang-Guo Hu|2022|Green Chemistry|24|8280|doi:10.1039/D2GC01513G
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.cc298gbd
title: CCDC 2123293: Experimental Crystal Structure Determination

description: Related Article: Hai Li, Kai-Cheng Yu, Jia-Kun Su, Wei Ouyang, Nai-Li Fan, Xiang-Guo Hu|2022|Green Chemistry|24|8280|doi:10.1039/D2GC01513G
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.cc2bf802
title: CCDC 2157693: Experimental Crystal Structure Determination

description: Related Article: Mingming Ruan, Anqi Li, Yaping Wen, Lian Zhou, Jun Zhang, Xiaopeng Xuan|2022|CrystEngComm|24|7420|doi:10.1039/D2CE01092E
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.cc2bfg9k
title: CCDC 2157888: Experimental Crystal Structure Determination

description: Related Article: Yuyang Zhang, Fuqiang Chen, Jie Zheng, Zhongming Song, Yanping Wang, Yueyuan Mao, Jing Tang, Jiahao Guo, Xuchun Wang|2022|CrystEngComm|24|7405|doi:10.1039/D2CE01015A
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.cc2chk6n
title: CCDC 2189691: Experimental Crystal Structure Determination

description: Related Article: Jiazhi Liang, Jian Huang, Qin Yang, Yang Fu, Qiuping Ding, Yiyuan Peng|2022|Green Chemistry|24|8441|doi:10.1039/D2GC03020A
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.cc2ck99k
title: CCDC 2191368: Experimental Crystal Structure Determination

description: Related Article: Hai-Xia Wang, Zhi-Hao Li, Wan-Wan Li, Gui-Rong Qu, Qi-Liang Yang, Hai-Ming Guo|2022|Green Chemistry|24|8377|doi:10.1039/D2GC03218J
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.cc2ck9cm
title: CCDC 2191370: Experimental Crystal Structure Determination

description: Related Article: Hai-Xia Wang, Zhi-Hao Li, Wan-Wan Li, Gui-Rong Qu, Qi-Liang Yang, Hai-Ming Guo|2022|Green Chemistry|24|8377|doi:10.1039/D2GC03218J
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.cc2ck9dn
title: CCDC 2191371: Experimental Crystal Structure Determination

description: Related Article: Hai-Xia Wang, Zhi-Hao Li, Wan-Wan Li, Gui-Rong Qu, Qi-Liang Yang, Hai-Ming Guo|2022|Green Chemistry|24|8377|doi:10.1039/D2GC03218J
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.cc2ck9fp
title: CCDC 2191372: Experimental Crystal Structure Determination

description: Related Article: Hai-Xia Wang, Zhi-Hao Li, Wan-Wan Li, Gui-Rong Qu, Qi-Liang Yang, Hai-Ming Guo|2022|Green Chemistry|24|8377|doi:10.1039/D2GC03218J
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.cc2cnprh
title: CCDC 2194637: Experimental Crystal Structure Determination

description: Related Article: Bin Tan, Chao Chen, Yun-Rui Chen, Jie Zhang, Guo-Yu Yang|2022|CrystEngComm|24|7493|doi:10.1039/D2CE01166B
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.cc2cnpsj
title: CCDC 2194638: Experimental Crystal Structure Determination

description: Related Article: Bin Tan, Chao Chen, Yun-Rui Chen, Jie Zhang, Guo-Yu Yang|2022|CrystEngComm|24|7493|doi:10.1039/D2CE01166B
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.cc2cnptk
title: CCDC 2194639: Experimental Crystal Structure Determination

description: Related Article: Bin Tan, Chao Chen, Yun-Rui Chen, Jie Zhang, Guo-Yu Yang|2022|CrystEngComm|24|7493|doi:10.1039/D2CE01166B
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.cc2cp5hr
title: CCDC 2195094: Experimental Crystal Structure Determination

description: Related Article: Hai-Xia Wang, Zhi-Hao Li, Wan-Wan Li, Gui-Rong Qu, Qi-Liang Yang, Hai-Ming Guo|2022|Green Chemistry|24|8377|doi:10.1039/D2GC03218J
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.cc2cwlb6
title: CCDC 2201258: Experimental Crystal Structure Determination

description: Related Article: Juan Zhou, Wanting Yu, Sisi Tang, Xiaomin He, Xinlei Zhang, Lian Zhou, Lin Sun, Jun Zhang|2022|CrystEngComm|24|7500|doi:10.1039/D2CE01131J
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.cc2cwlc7
title: CCDC 2201259: Experimental Crystal Structure Determination

description: Related Article: Juan Zhou, Wanting Yu, Sisi Tang, Xiaomin He, Xinlei Zhang, Lian Zhou, Lin Sun, Jun Zhang|2022|CrystEngComm|24|7500|doi:10.1039/D2CE01131J
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.cc2cwld8
title: CCDC 2201260: Experimental Crystal Structure Determination

description: Related Article: Juan Zhou, Wanting Yu, Sisi Tang, Xiaomin He, Xinlei Zhang, Lian Zhou, Lin Sun, Jun Zhang|2022|CrystEngComm|24|7500|doi:10.1039/D2CE01131J
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.cc2cx11d
title: CCDC 2201683: Experimental Crystal Structure Determination

description: Related Article: Li-Li Shao, Han-Fei Liu, Hua-Yong Lou, Feng-Wei Ma, Chao Chen, Jin-Yu Li, Wei-Dong Pan|2022|Tetrahedron|123|132987|doi:10.1016/j.tet.2022.132987
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.7268757
title: Structural basis for lipid and copper regulation of the ABC transporter MsbA

description: Raw native MS data for manuscript
DOI: 10.5281/zenodo.7268756
title: Structural basis for lipid and copper regulation of the ABC transporter MsbA

description: Raw native MS data for manuscript
DOI: 10.6084/m9.figshare.21440913
title: photoacoustic_patch

description: These files are data generated in the article 'A photoacoustic patch for three-dimensional imaging of hemoglobin and core temperature'.
DOI: 10.25549/usctheses-ouc11255651
title: Unknown
DOI: 10.25549/usctheses-ouc11255652
title: Unknown
DOI: 10.25549/usctheses-ouc11255664
title: Unknown
DOI: 10.25549/usctheses-ouc11256227
title: Unknown
DOI: 10.25549/usctheses-ouc11256232
title: Unknown
DOI: 10.25549/usctheses-ouc11256235
title: Unknown
DOI: 10.6084/m9.figshare.21440925
title: PA_patch

description: These files are data generated in the article 'A photoacoustic patch for three-dimensional imaging of hemoglobin and core temperature'.
DOI: 10.13020/a37y-t692
title: Enhanced Sensitivity of 1H,1H Nuclear Overhauser Effects using Water Irradiation Devoid Pulses

description: The nuclear Overhauser effect (NOE) is one of NMR spectroscopy's most important and versatile parameters. NOE is routinely utilized to determine the structures of medium-to-large size biomolecules and characterize protein-protein, protein-RNA, protein-DNA, and protein-ligand inter-actions. Since NMR studies of biomacromolecules are carried out in aqueous solutions, [1H,1H] NOESY pulse sequences must incorporate water suppression schemes to reduce the water signal that dominates 1H detected experiments. These pulse schemes are also designed to minimize signal intensity losses due to unwanted polarization exchange between water and labile protons. However, at high- and ultra-high magnetic fields, the excitation of the water signal during the execution of the NOESY pulse sequences may cause significant attenuation of NOE cross-peak intensities. Using an evolutionary algorithm coupled with artificial intelligence, we recently designed high-fidelity pulses [Water irrAdiation DEvoid (WADE) pulses] that elude water excitation and irradiate broader bandwidths relative to commonly used pulses. Here, we demonstrate that WADE pulses implemented into the 2D [1H,1H] NOESY experiments increase the intensity of the NOE cross-peaks for labile and, to a lesser extent, non-exchangeable protons. We applied the new [1H,1H] WADE-NOESY pulse sequence to two well-folded medium-size proteins, i.e., the K48C mutant of ubiquitin and the Raf kinase inhibitor protein (RKIP). The new pulse sequence shows a net increase of the NOE intensities varying from 30 to 170% compared to the commonly used NOESY experiments with excitation sculpting sequence as a water suppression element. The new WADE pulses can be easily implemented into 2D and 3D homo- and hetero-nuclear NOESY pulse sequences.
description: wadenoesygpph_ndec.mpp : BRUKER NMR pulse program. wadepi2x_rf0.00_25.700p1_bw1.85B1.mrf : BRUKER radio frequency pulse shape. wadepix_NP_2_rf0.00_34.595p1_bw0.82B1.mrf: BRUKER radio frequency pulse shape.