cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7880869
title: Ostia Antica Digitized

description: Shapefiles of Ostia Antica relating to the excavated built environment, classified buildings and their function, excavated street network, and the extended street network. All work based on: Crawford, K.A. (2018) "In the Footsteps of the Gods: The use of computational methods to explore the role of mobility in the religious landscape of 2nd century AD Ostia". Unpublished PhD Thesis: University of Southampton. The data has been used in the following open access publications: Crawford, K.A (2019) “Rethinking approaches for the study of urban movement at Ostia” In P. Verhagen – J. Joyce – M. Groenhuijzen (eds.), pp. 313–327, <em>Finding the Limits of the Limes</em>. Springer. DOI: 10.1007/978-3-030-04576-0_15 Crawford, K.A. (2019) “Visualising Ostia’s Processional Landscape through a Multi-layered Computational Approach: Case Study of the Cult of the Magna Mater” <em>Open Archaeology </em>5(1): 444–467. DOI: 10.1515/opar-2019-0028 Crawford, K.A. (2020) “Unravelling Urban Religious Landscapes: the impact of commercial activity on religious movement at Ostia.” In G. Glover – J. Moss – D. Rissolo (eds.), pp. 61–72, <em>Digital Archaeologies, Material Worlds (Past and Present): Proceedings of the 45rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology. </em>Tübingen: Tübingen University Press. DOI: 10.15496/publikation-43231 Crawford, K.A. (2022)<strong> </strong>‘Displaying Rituals: Simulating Potential Routes of the <em>navigium Isidis </em>Procession.’ <em>Journal of Urban Archaeology </em>6: 49–70.<em> </em>DOI: https://doi.org/10.1484/J.JUA.5.131733
DOI: 10.5281/zenodo.7880868
title: Ostia Antica Digitized

description: Shapefiles of Ostia Antica relating to the excavated built environment, classified buildings and their function, excavated street network, and the extended street network. All work based on: Crawford, K.A. (2018) "In the Footsteps of the Gods: The use of computational methods to explore the role of mobility in the religious landscape of 2nd century AD Ostia". Unpublished PhD Thesis: University of Southampton. The data has been used in the following open access publications: Crawford, K.A (2019) “Rethinking approaches for the study of urban movement at Ostia” In P. Verhagen – J. Joyce – M. Groenhuijzen (eds.), pp. 313–327, <em>Finding the Limits of the Limes</em>. Springer. DOI: 10.1007/978-3-030-04576-0_15 Crawford, K.A. (2019) “Visualising Ostia’s Processional Landscape through a Multi-layered Computational Approach: Case Study of the Cult of the Magna Mater” <em>Open Archaeology </em>5(1): 444–467. DOI: 10.1515/opar-2019-0028 Crawford, K.A. (2020) “Unravelling Urban Religious Landscapes: the impact of commercial activity on religious movement at Ostia.” In G. Glover – J. Moss – D. Rissolo (eds.), pp. 61–72, <em>Digital Archaeologies, Material Worlds (Past and Present): Proceedings of the 45rd Annual Conference on Computer Applications and Quantitative Methods in Archaeology. </em>Tübingen: Tübingen University Press. DOI: 10.15496/publikation-43231 Crawford, K.A. (2022)<strong> </strong>‘Displaying Rituals: Simulating Potential Routes of the <em>navigium Isidis </em>Procession.’ <em>Journal of Urban Archaeology </em>6: 49–70.<em> </em>DOI: https://doi.org/10.1484/J.JUA.5.131733
DOI: 10.5281/zenodo.7880371
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2019

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 monthly 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 2019. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2018</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2020</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 1km Temporal Resolution: 1 month 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.7880370
title: MUSES Leaf Area Index (LAI) Monthly Global 1km SIN Grid in 2019

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 monthly 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 2019. <em>Please <strong>click here</strong> to download the MUSES LAI product <strong>in 2018</strong></em>, <em>and <strong>click here</strong> to download the MUSES LAI product <strong>in 2020</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 1km Temporal Resolution: 1 month 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.7880899
title: The GPS file and FEM model file

description: This file contains the GPS data and FEM model used in our study, which was submitted to GCUED.
DOI: 10.5281/zenodo.7880898
title: The GPS file and FEM model file

description: This file contains the GPS data and FEM model used in our study, which was submitted to GCUED.
DOI: 10.6084/m9.figshare.22723618
title: H3K9me3 bs from UM.bam files

description: H3K9me3 bw file from uniquely mapped bam
DOI: 10.6084/m9.figshare.22723618.v1
title: H3K9me3 bs from UM.bam files

description: H3K9me3 bw file from uniquely mapped bam
DOI: 10.5281/zenodo.7880955
title: calameuta_pygmaea_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7880954
title: calameuta_pygmaea_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7880971
title: carcharhinus_longimanus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7880970
title: carcharhinus_longimanus_zanfona_1.fasta.gz

description: .
DOI: 10.5281/zenodo.7880089
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2019

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 500m spatial resolution and monthly 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 500m 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. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2018</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2020</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 500m Temporal Resolution: 1 month 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.7880088
title: MUSES Fractional Vegetation Coverage (FVC) Monthly Global 500m SIN Grid in 2019

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 500m spatial resolution and monthly 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 500m 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. <em>Please <strong>click here</strong> to download the MUSES FVC product <strong>in 2018</strong></em>, and <em><strong>click here</strong> to download the MUSES FVC product <strong>in 2020</strong></em>. <strong>Dataset Characteristics:</strong> Spatial Coverage: Global Temporal Coverage: 2019 Spatial Resolution: 500m Temporal Resolution: 1 month 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.22723652
title: Dataset of Questionnaire Result from the respondents of : The Moderating Effect of Diffident Silence on the Relationship between Collectivity and Affective Commitment

description: Dataset of Questionnaire Result from the respondents of : The Moderating Effect of Diffident Silence on the Relationship between Collectivity and Affective Commitment
DOI: 10.6084/m9.figshare.22723652.v1
title: Dataset of Questionnaire Result from the respondents of : The Moderating Effect of Diffident Silence on the Relationship between Collectivity and Affective Commitment

description: Dataset of Questionnaire Result from the respondents of : The Moderating Effect of Diffident Silence on the Relationship between Collectivity and Affective Commitment
DOI: 10.34740/kaggle/dsv/5566561
title: Türk Milli Takımı Macları (1923-2023)
DOI: 10.5517/ccdc.csd.cc2f46f7
title: CCDC 2238368: Experimental Crystal Structure Determination

description: Related Article: Shintaro Takahashi, Raphaël Nougué, Thibault Troadec, Antoine Baceiredo, Nathalie Saffon-Merceron, Vicenç Branchadell, Tsuyoshi Kato|2023|Inorg.Chem.|62|6488|doi:10.1021/acs.inorgchem.3c00513
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.cc2f46g8
title: CCDC 2238369: Experimental Crystal Structure Determination

description: Related Article: Shintaro Takahashi, Raphaël Nougué, Thibault Troadec, Antoine Baceiredo, Nathalie Saffon-Merceron, Vicenç Branchadell, Tsuyoshi Kato|2023|Inorg.Chem.|62|6488|doi:10.1021/acs.inorgchem.3c00513
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.cc2f6ngs
title: CCDC 2240725: Experimental Crystal Structure Determination

description: Related Article: Shintaro Takahashi, Raphaël Nougué, Thibault Troadec, Antoine Baceiredo, Nathalie Saffon-Merceron, Vicenç Branchadell, Tsuyoshi Kato|2023|Inorg.Chem.|62|6488|doi:10.1021/acs.inorgchem.3c00513
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.cc2f6zk6
title: CCDC 2241038: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6zl7
title: CCDC 2241039: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6zm8
title: CCDC 2241040: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6zn9
title: CCDC 2241041: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6zpb
title: CCDC 2241042: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6zqc
title: CCDC 2241043: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6zrd
title: CCDC 2241044: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6zsf
title: CCDC 2241045: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f6ztg
title: CCDC 2241046: Experimental Crystal Structure Determination

description: Related Article: Xian-Tao An, Xiao-Min Ge, Xin-Yu Liu, Yu-Han Yang, Xian-He Zhao, Xiao-Yan Ma, Chao Peng, Yi-Jun Fan, Yong Qin, Chun-An Fan|2023|J.Am.Chem.Soc.|145|9233|doi:10.1021/jacs.3c01572
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.cc2f7lfq
title: CCDC 2241623: Experimental Crystal Structure Determination

description: Related Article: Dionisio Poveda, Ángela Vivancos, Delia Bautista, Pablo González-Herrero|2023|Inorg.Chem.|62|6207|doi:10.1021/acs.inorgchem.3c00688
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.