cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14478786
title: Additional file 21 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 21: Table S8. KEGG and GO enrichment analysis on genes assigned to polymorphic short tandem repeats (pSTRs) that show significant differentiation between domestic and wild boars in Asia or Europe.
DOI: 10.6084/m9.figshare.14478789
title: Additional file 22 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 22: Table S9. Summary of polymorphic short tandem repeats (pSTRs) showing significant associations with annual mean temperatures or altitudes and that were annotated as LOF pSTRs or expanded pSTRs, or showing greater differentiation than SNPs within ± 100 kb flanking regions.
DOI: 10.6084/m9.figshare.14478789.v1
title: Additional file 22 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 22: Table S9. Summary of polymorphic short tandem repeats (pSTRs) showing significant associations with annual mean temperatures or altitudes and that were annotated as LOF pSTRs or expanded pSTRs, or showing greater differentiation than SNPs within ± 100 kb flanking regions.
DOI: 10.6084/m9.figshare.14478786.v1
title: Additional file 21 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 21: Table S8. KEGG and GO enrichment analysis on genes assigned to polymorphic short tandem repeats (pSTRs) that show significant differentiation between domestic and wild boars in Asia or Europe.
DOI: 10.6084/m9.figshare.14478795.v1
title: Additional file 24 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 24: Table S11. Summary of candidate genes assigned to top polymorphic short tandem repeats (pSTRs) with the most significant associations with annual mean temperatures or altitudes. The description of the function of these genes is based on the annotation entries of GO and KEGG.
DOI: 10.6084/m9.figshare.14478795
title: Additional file 24 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 24: Table S11. Summary of candidate genes assigned to top polymorphic short tandem repeats (pSTRs) with the most significant associations with annual mean temperatures or altitudes. The description of the function of these genes is based on the annotation entries of GO and KEGG.
DOI: 10.6084/m9.figshare.14478792.v1
title: Additional file 23 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 23: Table S10. KEGG and GO enrichment analysis on genes assigned to polymorphic short tandem repeats (pSTRs) that show significant associations with annual mean temperatures or altitudes among the Chinese indigenous breeds.
DOI: 10.6084/m9.figshare.14478792
title: Additional file 23 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 23: Table S10. KEGG and GO enrichment analysis on genes assigned to polymorphic short tandem repeats (pSTRs) that show significant associations with annual mean temperatures or altitudes among the Chinese indigenous breeds.
DOI: 10.6084/m9.figshare.14478810.v1
title: Additional file 5 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 5: Table S2. Comparison of 16 pairs of replicated samples for pSTRs calling.
DOI: 10.6084/m9.figshare.14478810
title: Additional file 5 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 5: Table S2. Comparison of 16 pairs of replicated samples for pSTRs calling.
DOI: 10.6084/m9.figshare.14478816
title: Additional file 7 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 7: Table S3. Summary of different types of polymorphic short tandem repeats (pSTRs) by motif sequences and lengths.
DOI: 10.6084/m9.figshare.14478816.v1
title: Additional file 7 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 7: Table S3. Summary of different types of polymorphic short tandem repeats (pSTRs) by motif sequences and lengths.
DOI: 10.6084/m9.figshare.14478822
title: Additional file 9 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 9: Table S4. Summary of polymorphic short tandem repeats (pSTRs) hotspots on different chromosomes.
DOI: 10.6084/m9.figshare.14478822.v1
title: Additional file 9 of A worldwide map of swine short tandem repeats and their associations with evolutionary and environmental adaptations

description: Additional file 9: Table S4. Summary of polymorphic short tandem repeats (pSTRs) hotspots on different chromosomes.
DOI: 10.6084/m9.figshare.14478849.v1
title: Additional file 2 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 2.
DOI: 10.6084/m9.figshare.14478849
title: Additional file 2 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 2.
DOI: 10.6084/m9.figshare.14478852
title: Additional file 3 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 3.
DOI: 10.6084/m9.figshare.14478855
title: Additional file 4 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 4.
DOI: 10.6084/m9.figshare.14478858
title: Additional file 5 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 5.
DOI: 10.6084/m9.figshare.14478858.v1
title: Additional file 5 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 5.
DOI: 10.6084/m9.figshare.14478852.v1
title: Additional file 3 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 3.
DOI: 10.6084/m9.figshare.14478855.v1
title: Additional file 4 of Engineering Resistance to Bacterial Blight and Bacterial Leaf Streak in Rice

description: Additional file 4.
DOI: 10.6084/m9.figshare.14478869.v1
title: Additional file 1 of A review of the diversity and impact of invasive non-native species in tropical marine ecosystems

description: Additional file 1. A list of marine non-native species in tropical regions (including Tropical Atlantic, Indo-Pacific and Tropical Eastern Pacific).
DOI: 10.6084/m9.figshare.14478869
title: Additional file 1 of A review of the diversity and impact of invasive non-native species in tropical marine ecosystems

description: Additional file 1. A list of marine non-native species in tropical regions (including Tropical Atlantic, Indo-Pacific and Tropical Eastern Pacific).
DOI: 10.6084/m9.figshare.14478888
title: Additional file 2 of Notch signaling is a critical initiator of roof plate formation as revealed by the use of RNA profiling of the dorsal neural tube

description: Additional file 2: Table S1. A list of transcripts downregulated in RP when compared to NC. Excel file containing the list of transcripts downregulated in RP when compared to the premigratory NC stage. Based on triplicate samples for each stage. See Methods for technical details.
DOI: 10.6084/m9.figshare.14478888.v1
title: Additional file 2 of Notch signaling is a critical initiator of roof plate formation as revealed by the use of RNA profiling of the dorsal neural tube

description: Additional file 2: Table S1. A list of transcripts downregulated in RP when compared to NC. Excel file containing the list of transcripts downregulated in RP when compared to the premigratory NC stage. Based on triplicate samples for each stage. See Methods for technical details.
DOI: 10.6084/m9.figshare.14478891.v1
title: Additional file 3 of Notch signaling is a critical initiator of roof plate formation as revealed by the use of RNA profiling of the dorsal neural tube

description: Additional file 3: Table S2. A list of transcripts upregulated in RP when compared to NC. Excel file containing the list of transcripts enriched in the RP when compared to the premigratory NC stage. Based on triplicate samples for each stage. See Methods for technical details.
DOI: 10.6084/m9.figshare.14478930
title: Additional file 4 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 4. Excel model file for the 40L-50I-10H scenario.
DOI: 10.6084/m9.figshare.14478930.v1
title: Additional file 4 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 4. Excel model file for the 40L-50I-10H scenario.
DOI: 10.6084/m9.figshare.14478933
title: Additional file 5 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 5. Excel model file for the 40L-55I-5H scenario.
DOI: 10.6084/m9.figshare.14478933.v1
title: Additional file 5 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 5. Excel model file for the 40L-55I-5H scenario.
DOI: 10.6084/m9.figshare.14478936
title: Additional file 6 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 6.Excel model file for the 60L-30I-10H scenario.
DOI: 10.6084/m9.figshare.14478936.v1
title: Additional file 6 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 6.Excel model file for the 60L-30I-10H scenario.
DOI: 10.6084/m9.figshare.14478939
title: Additional file 7 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 7. Excel model file for the 60L-35I-5H scenario.
DOI: 10.6084/m9.figshare.14478939.v1
title: Additional file 7 of Cost effectiveness analysis of a polygenic risk tailored breast cancer screening programme in Singapore

description: Additional file 7. Excel model file for the 60L-35I-5H scenario.
DOI: 10.6084/m9.figshare.14478942
title: Additional file 1 of Host phylogeny and host ecology structure the mammalian gut microbiota at different taxonomic scales

description: Additional file 1: Tables S1-S8. Table S1. Previously published dietary � data for the surveyed herbivores. Table S2. PERMANOVA tests that include sample month, host dietary guild, and host species using the entire dataset (11 sp). Table S3-S6. Multiple-comparison testing of gut microbiota alpha-diversity among host families, species, and dietary guilds. Table S4. Previously published dietary � data for the surveyed herbivores. Table S7. PERMANOVA tests that included sample month, geographic region, host dietary guild and host species for the combined Masai Mara and Laikipia dataset. Table S8. Partial correlation coefficient statistics regressing microbiota similarity against host phylogenetic relatedness or diet. Table S9. Proportion of ASVs that were differentially enriched in herbivores from one geographic region compared to the other according to LEfSe. Table S10. Sample sizes for each month for the combined Masai Mara and Laikipia dataset (.xlxs 29 KB).
DOI: 10.6084/m9.figshare.14478942.v1
title: Additional file 1 of Host phylogeny and host ecology structure the mammalian gut microbiota at different taxonomic scales

description: Additional file 1: Tables S1-S8. Table S1. Previously published dietary � data for the surveyed herbivores. Table S2. PERMANOVA tests that include sample month, host dietary guild, and host species using the entire dataset (11 sp). Table S3-S6. Multiple-comparison testing of gut microbiota alpha-diversity among host families, species, and dietary guilds. Table S4. Previously published dietary � data for the surveyed herbivores. Table S7. PERMANOVA tests that included sample month, geographic region, host dietary guild and host species for the combined Masai Mara and Laikipia dataset. Table S8. Partial correlation coefficient statistics regressing microbiota similarity against host phylogenetic relatedness or diet. Table S9. Proportion of ASVs that were differentially enriched in herbivores from one geographic region compared to the other according to LEfSe. Table S10. Sample sizes for each month for the combined Masai Mara and Laikipia dataset (.xlxs 29 KB).
DOI: 10.5281/zenodo.4683136
title: XXX

description: XXX
DOI: 10.5281/zenodo.4683135
title: XXX

description: XXX
DOI: 10.6084/m9.figshare.14478891
title: Additional file 3 of Notch signaling is a critical initiator of roof plate formation as revealed by the use of RNA profiling of the dorsal neural tube

description: Additional file 3: Table S2. A list of transcripts upregulated in RP when compared to NC. Excel file containing the list of transcripts enriched in the RP when compared to the premigratory NC stage. Based on triplicate samples for each stage. See Methods for technical details.
DOI: 10.6084/m9.figshare.14479107
title: Table

description: The herringbone gear power-split transmission is widely used in high-speed and heavy-load transmission systems, and its dynamic analysis is becoming increasingly important. The characteristic sensitivity of a gear transmission system indicates the influence of the dynamic parameters on the natural frequency of the gear transmission system, and it functions as an important theoretical reference value in the dynamic design of a herringbone gear power-split transmission system. In this paper, the dynamic equations of a herringbone gear power-split transmission system for a ship are presented, and the natural frequencies and modal shapes are calculated based on the free torsional vibration differential equation. Subsequently, the modal shapes were classified into the coupling vibration model and the branch vibration model. The characteristics sensitivity was studied using modal analysis, and the characteristics sensitivity calculation equations for single and double root of natural frequency were deduced, and the characteristic sensitivity of the natural frequencies to the mesh stiffness was computed. Finally, the relationship between the modal strain energy and the characteristic sensitivity was analyzed, and the physics essence of the characteristic sensitivity was revealed.
DOI: 10.6084/m9.figshare.14479107.v1
title: Table

description: The herringbone gear power-split transmission is widely used in high-speed and heavy-load transmission systems, and its dynamic analysis is becoming increasingly important. The characteristic sensitivity of a gear transmission system indicates the influence of the dynamic parameters on the natural frequency of the gear transmission system, and it functions as an important theoretical reference value in the dynamic design of a herringbone gear power-split transmission system. In this paper, the dynamic equations of a herringbone gear power-split transmission system for a ship are presented, and the natural frequencies and modal shapes are calculated based on the free torsional vibration differential equation. Subsequently, the modal shapes were classified into the coupling vibration model and the branch vibration model. The characteristics sensitivity was studied using modal analysis, and the characteristics sensitivity calculation equations for single and double root of natural frequency were deduced, and the characteristic sensitivity of the natural frequencies to the mesh stiffness was computed. Finally, the relationship between the modal strain energy and the characteristic sensitivity was analyzed, and the physics essence of the characteristic sensitivity was revealed.
DOI: 10.5281/zenodo.4600461
title: Dataset for the Paper: "Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study"

description: This is the dataset for the paper: "Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study". It contains 3084 Self-Claimed Assumptions (SCAs) extracted from nine deep learning frameworks (i.e., TensorFlow, Theano, PyTorch, Caffe, MXNet, Keras, CNTK, DL4J, and PaddlePaddle).
DOI: 10.5281/zenodo.4600460
title: Dataset for the Paper: "Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study"

description: This is the dataset for the paper: "Self-Claimed Assumptions in Deep Learning Frameworks: An Exploratory Study". It contains 3084 Self-Claimed Assumptions (SCAs) extracted from nine deep learning frameworks (i.e., TensorFlow, Theano, PyTorch, Caffe, MXNet, Keras, CNTK, DL4J, and PaddlePaddle).
DOI: 10.5517/ccdc.csd.cc230b5n
title: CCDC 1936730: Experimental Crystal Structure Determination

description: Related Article: Jing Hu, Jiajia Qi, Yun Luo, Tianyue Yin, Jie Wang, Chunjing Wang, Wenge Li, Lili Liang|2021|Arab.J.Chem.|14|103117|doi:10.1016/j.arabjc.2021.103117
DOI: 10.5517/ccdc.csd.cc24yfzj
title: CCDC 1994508: Experimental Crystal Structure Determination

description: Related Article: Rajendra Prasad Nandi, Chinna Ayya Swamy P, Pandi Dhanalakshmi, Santosh Kumar Behera, Pakkirisamy Thilagar|2021|Inorg.Chem.|60|5452|doi:10.1021/acs.inorgchem.0c02739
DOI: 10.5517/ccdc.csd.cc25rlk3
title: CCDC 2018675: Experimental Crystal Structure Determination

description: Related Article: Qun-bo Mei, Lei Liu, Jiu-chang Yang, Shang-hui Ye, Bi-hai Tong|2021|Dyes Pigm.|191|109360|doi:10.1016/j.dyepig.2021.109360
DOI: 10.5517/ccdc.csd.cc26j5gd
title: CCDC 2041333: Experimental Crystal Structure Determination

description: Related Article: Hui Jiang, Cai Sun, Cao-Ming Yu, Ming-Sheng Wang, Guo-Cong Guo|2021|Inorg.Chem.|60|5538|doi:10.1021/acs.inorgchem.0c03375
DOI: 10.5517/ccdc.csd.cc26j5jg
title: CCDC 2041335: Experimental Crystal Structure Determination

description: Related Article: Hui Jiang, Cai Sun, Cao-Ming Yu, Ming-Sheng Wang, Guo-Cong Guo|2021|Inorg.Chem.|60|5538|doi:10.1021/acs.inorgchem.0c03375
DOI: 10.5517/ccdc.csd.cc26n456
title: CCDC 2045137: Experimental Crystal Structure Determination

description: Related Article: Gaorong Wu, Binghan Pang, Yangyang Wang, Li Yan, Lu Chen, Tao Ma, Yafei Ji|2021|J.Org.Chem.|86|5933|doi:10.1021/acs.joc.1c00520
DOI: 10.5517/ccdc.csd.cc26nlyf
title: CCDC 2045595: Experimental Crystal Structure Determination

description: Related Article: Melissa R. Hoffbauer, Vlad M. Iluc|2021|J.Am.Chem.Soc.|143|5592|doi:10.1021/jacs.0c12175
DOI: 10.5517/ccdc.csd.cc26nm1k
title: CCDC 2045598: Experimental Crystal Structure Determination

description: Related Article: Melissa R. Hoffbauer, Vlad M. Iluc|2021|J.Am.Chem.Soc.|143|5592|doi:10.1021/jacs.0c12175
DOI: 10.5517/ccdc.csd.cc26nm2l
title: CCDC 2045599: Experimental Crystal Structure Determination

description: Related Article: Melissa R. Hoffbauer, Vlad M. Iluc|2021|J.Am.Chem.Soc.|143|5592|doi:10.1021/jacs.0c12175
DOI: 10.5517/ccdc.csd.cc26nm3m
title: CCDC 2045600: Experimental Crystal Structure Determination

description: Related Article: Melissa R. Hoffbauer, Vlad M. Iluc|2021|J.Am.Chem.Soc.|143|5592|doi:10.1021/jacs.0c12175
DOI: 10.5517/ccdc.csd.cc26nm4n
title: CCDC 2045601: Experimental Crystal Structure Determination

description: Related Article: Melissa R. Hoffbauer, Vlad M. Iluc|2021|J.Am.Chem.Soc.|143|5592|doi:10.1021/jacs.0c12175
DOI: 10.5517/ccdc.csd.cc26nm6q
title: CCDC 2045603: Experimental Crystal Structure Determination

description: Related Article: Melissa R. Hoffbauer, Vlad M. Iluc|2021|J.Am.Chem.Soc.|143|5592|doi:10.1021/jacs.0c12175
DOI: 10.5517/ccdc.csd.cc26p0sq
title: CCDC 2045993: Experimental Crystal Structure Determination

description: Related Article: Md Kamal Hossain, Maxym O. Plutenko, Jörg A. Schachner, Matti Haukka, Nadia C. Mösch-Zanetti, Igor O. Fritsky, Ebbe Nordlander|2021|J.Indian Chem.Soc.|98|100006|doi:10.1016/j.jics.2021.100006
DOI: 10.5517/ccdc.csd.cc26p0tr
title: CCDC 2045994: Experimental Crystal Structure Determination

description: Related Article: Md Kamal Hossain, Maxym O. Plutenko, Jörg A. Schachner, Matti Haukka, Nadia C. Mösch-Zanetti, Igor O. Fritsky, Ebbe Nordlander|2021|J.Indian Chem.Soc.|98|100006|doi:10.1016/j.jics.2021.100006
DOI: 10.5517/ccdc.csd.cc26pnrb
title: CCDC 2046612: Experimental Crystal Structure Determination

description: Related Article: Yoshinobu Kamakura, Chinatsu Sakura, Akinori Saeki, Shigeyuki Masaoka, Akito Fukui, Daisuke Kiriya, Kazuyoshi Ogasawara, Hirofumi Yoshikawa, Daisuke Tanaka|2021|Inorg.Chem.|60|5436|doi:10.1021/acs.inorgchem.0c03801
DOI: 10.5517/ccdc.csd.cc26y1gp
title: CCDC 2053702: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc26y1hq
title: CCDC 2053703: Experimental Crystal Structure Determination

description: Related Article: Mengyu Niu, Xiaoping Yang, Yanan Ma, Wenxin Hao, Xilong Leng, Desmond Schipper|2021|Inorg.Chem.|60|5764|doi:10.1021/acs.inorgchem.1c00037