cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc25s358
title: CCDC 2019159: Experimental Crystal Structure Determination

description: Related Article: Ming Jiang, Jinhui Pang, Xiaoying Jia, Yong Chu, Wenjuan Li, Hong Liang, Feng Yang|2023|Dalton Trans.|52|6029|doi:10.1039/D3DT00148B
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.cc2dzyt5
title: CCDC 2234288: Experimental Crystal Structure Determination

description: Related Article: Ming Jiang, Jinhui Pang, Xiaoying Jia, Yong Chu, Wenjuan Li, Hong Liang, Feng Yang|2023|Dalton Trans.|52|6029|doi:10.1039/D3DT00148B
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.cc2dzys4
title: CCDC 2234287: Experimental Crystal Structure Determination

description: Related Article: Ming Jiang, Jinhui Pang, Xiaoying Jia, Yong Chu, Wenjuan Li, Hong Liang, Feng Yang|2023|Dalton Trans.|52|6029|doi:10.1039/D3DT00148B
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.cc2dzyhv
title: CCDC 2234278: Experimental Crystal Structure Determination

description: Related Article: Ming Jiang, Jinhui Pang, Xiaoying Jia, Yong Chu, Wenjuan Li, Hong Liang, Feng Yang|2023|Dalton Trans.|52|6029|doi:10.1039/D3DT00148B
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.cc2dzyv6
title: CCDC 2234289: Experimental Crystal Structure Determination

description: Related Article: Ming Jiang, Jinhui Pang, Xiaoying Jia, Yong Chu, Wenjuan Li, Hong Liang, Feng Yang|2023|Dalton Trans.|52|6029|doi:10.1039/D3DT00148B
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: 10.6084/m9.figshare.22791098
title: <strong>Combined genetic screening and traditional newborn screening to improve the screening efficiency of congenital hypothyroidism</strong>

description: Congenital hypothyroidism (CH) is an neonatal endocrine disorder. Traditional newborn screening is the mainstream method of CH screening, so as to ensure the early detection and treatment of CH. This method is limited as it has high rates of false positives and negatives. Genetic screening can be used to address the shortcomings of traditional newborn Screening (NBS); however, the comprehensive clinical value of genetic screening is yet to be systematically studied.
DOI: 10.6084/m9.figshare.22791098.v1
title: <strong>Combined genetic screening and traditional newborn screening to improve the screening efficiency of congenital hypothyroidism</strong>

description: Congenital hypothyroidism (CH) is an neonatal endocrine disorder. Traditional newborn screening is the mainstream method of CH screening, so as to ensure the early detection and treatment of CH. This method is limited as it has high rates of false positives and negatives. Genetic screening can be used to address the shortcomings of traditional newborn Screening (NBS); however, the comprehensive clinical value of genetic screening is yet to be systematically studied.
DOI: 10.5281/zenodo.7916837
title: Data for Research Submission 318 for ISWC 2023

description: Data accompanying the paper "Embedding Geospatial and Linked Data for Geo-Entity Semantic Typing" (submission 318) submitted for review to ISWC 2023.
DOI: 10.5281/zenodo.7916836
title: Data for Research Submission 318 for ISWC 2023

description: Data accompanying the paper "Embedding Geospatial and Linked Data for Geo-Entity Semantic Typing" (submission 318) submitted for review to ISWC 2023.
DOI: 10.5281/zenodo.7916807
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2009

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 1 km 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 1 km 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 2009. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2008</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2010</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2009 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <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.7916806
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2009

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 1 km 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 1 km 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 2009. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2008</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2010</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2009 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <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.7916772
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2010

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 1 km 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 1 km 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 2010. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2009</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2011</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <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.7916771
title: MUSES Fractional Vegetation Coverage (FVC) 8-Day Global 1km SIN Grid in 2010

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 1 km 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 1 km 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 2010. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2009</strong></em>, <em>and <strong>click here</strong> to download the MUSES FVC product <strong>in 2011</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2010 Spatial Resolution: 1 km Temporal Resolution: 8 days Projection: Sinusoidal Data Format: HDF Scale: 0.004 Valid Range: 0 – 250 <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: 10.6084/m9.figshare.22790924
title: R Project (data and R scripts) to make data figures and tables from "Unpacking the recruitment potential of seeds in reconstructed soils and varying rainfall patterns" Authors: Todd E. Erickson, John M. Dwyer, Emma L. Dalziell, Jeremy J. James, Miriam Muñoz-Rojas, David J. Merritt Accepted for publication in Australian Journal of Botany on 24 April 2023

description: R Project (data and R scripts) to make data figures and tables from "Unpacking the recruitment potential of seeds in reconstructed soils and varying rainfall patterns". Refer to the README file for detailed metadata.
DOI: 10.6084/m9.figshare.22790924.v1
title: R Project (data and R scripts) to make data figures and tables from "Unpacking the recruitment potential of seeds in reconstructed soils and varying rainfall patterns" Authors: Todd E. Erickson, John M. Dwyer, Emma L. Dalziell, Jeremy J. James, Miriam Muñoz-Rojas, David J. Merritt Accepted for publication in Australian Journal of Botany on 24 April 2023

description: R Project (data and R scripts) to make data figures and tables from "Unpacking the recruitment potential of seeds in reconstructed soils and varying rainfall patterns". Refer to the README file for detailed metadata.
DOI: 10.3886/e191261
title: The impact of knowledge creation of Mexican engineering

description: Engineers make things, make things work, and make things work better and easier. This kind of knowledge is crucial for innovation, and much of the explicit knowledge developed by engineers is embodied in scientific publications. In this paper, we analyze the evolution of publications and citations in Engineering in a middle-income country such as Mexico. Using a database of all Mexican publications in Web of Science from 2004 to 2017, we explore the characteristics of publications that tend to have the greatest impact; this is the highest number of citations. Among the variables studied are the type of collaboration (no collaboration, domestic, bilateral, or multilateral), the number of coauthors and countries, the language of the article, controlling for an coauthor from the USA and the affiliation institution of the Mexican author(s). Our results emphasize the overall importance of joint international efforts and suggest that publications with the highest number of citations are those with multinational collaboration (coauthors from three or more countries), written in English, and when one of the coauthors is from the USA.
DOI: 10.3886/e191261v1
title: The impact of knowledge creation of Mexican engineering

description: Engineers make things, make things work, and make things work better and easier. This kind of knowledge is crucial for innovation, and much of the explicit knowledge developed by engineers is embodied in scientific publications. In this paper, we analyze the evolution of publications and citations in Engineering in a middle-income country such as Mexico. Using a database of all Mexican publications in Web of Science from 2004 to 2017, we explore the characteristics of publications that tend to have the greatest impact; this is the highest number of citations. Among the variables studied are the type of collaboration (no collaboration, domestic, bilateral, or multilateral), the number of coauthors and countries, the language of the article, controlling for an coauthor from the USA and the affiliation institution of the Mexican author(s). Our results emphasize the overall importance of joint international efforts and suggest that publications with the highest number of citations are those with multinational collaboration (coauthors from three or more countries), written in English, and when one of the coauthors is from the USA.
DOI: 10.6084/m9.figshare.22791167
title: 剖面厚度统计.xlsx

description: dddd
DOI: 10.6084/m9.figshare.22791167.v1
title: 剖面厚度统计.xlsx

description: dddd
DOI: 10.5517/ccdc.csd.cc2fgsxm
title: CCDC 2248551: Experimental Crystal Structure Determination

description: Related Article: Yi Ding, Mohd Nazish, Paul Niklas Ruth, Regine Herbst-Irmer, Dietmar Stalke, Herbert W. Roesky|2023|Dalton Trans.|52|6175|doi:10.1039/D3DT00811H
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.cc2fgsyn
title: CCDC 2248552: Experimental Crystal Structure Determination

description: Related Article: Yi Ding, Mohd Nazish, Paul Niklas Ruth, Regine Herbst-Irmer, Dietmar Stalke, Herbert W. Roesky|2023|Dalton Trans.|52|6175|doi:10.1039/D3DT00811H
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.cc2fgszp
title: CCDC 2248553: Experimental Crystal Structure Determination

description: Related Article: Yi Ding, Mohd Nazish, Paul Niklas Ruth, Regine Herbst-Irmer, Dietmar Stalke, Herbert W. Roesky|2023|Dalton Trans.|52|6175|doi:10.1039/D3DT00811H
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.cc2dzycq
title: CCDC 2234274: Experimental Crystal Structure Determination

description: Related Article: Aytuğ Okumuş, Gamze Elmas, Arzu Binici, Ekrem Tunca, Tuncer Hökelek, Zeynel Kılıç|2023|New J.Chem.|47|8578|doi:10.1039/D3NJ00721A
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.cc2fpwjk
title: CCDC 2255359: Experimental Crystal Structure Determination

description: Related Article: F.N. Naghiyev, V.N. Khrustalev, M. Akkurt, A.N. Khalilov, A. Bhattarai, F.S. Kerimli, İ.G. Mamedov|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|494|doi:10.1107/S2056989023003237
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.cc267ybr
title: CCDC 2033424: Experimental Crystal Structure Determination

description: Related Article: M.M. Bhadbhade, J. Gao, A.M. Rich, C.E. Marjo|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|488|doi:10.1107/S2056989023003353
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.cc2fq1mv
title: CCDC 2255517: Experimental Crystal Structure Determination

description: Related Article: E.G. Karimli, V.N. Khrustalev, M.N. Kurasova, M. Akkurt, A.N. Khalilov, A. Bhattarai, İ.G. Mamedov|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|474|doi:10.1107/S205698902300333X
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.cc2fqd8v
title: CCDC 2255847: Experimental Crystal Structure Determination

description: Related Article: O.O. Shtokvysh, V.V. Dyakonenko, L.I. Koval, V.I. Pekhnyo|2023|Acta Crystallogr.,Sect.E:Cryst.Commun.|79|478|doi:10.1107/S2056989023003377
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.cc2fsr88
title: CCDC 2258110: Experimental Crystal Structure Determination

description: Related Article: Marcel Schorpp, Ravi Yadav, Daniel Roth, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202207963|doi:10.1002/anie.202207963
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.cc2fsr99
title: CCDC 2258111: Experimental Crystal Structure Determination

description: Related Article: Marcel Schorpp, Ravi Yadav, Daniel Roth, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202207963|doi:10.1002/anie.202207963
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.cc2fsrbb
title: CCDC 2258112: Experimental Crystal Structure Determination

description: Related Article: Marcel Schorpp, Ravi Yadav, Daniel Roth, Lutz Greb|2022|Angew.Chem.,Int.Ed.|61|e202207963|doi:10.1002/anie.202207963
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.