cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.23992698
title: i4 -- raw regression output with regards to flight

description: Microbiome associations with spaceflight across classifiers, sequencing modalities, and microbiome features. Raw outputs are stored as .rds files. CSV files are the "categorized" (i.e., parsed) regression based on each feature's trajectory relative to flight (transiently increased, transiently decreased, persistently increased, persistently decreased, etc). Brief methods are as follows:<br><br>We grouped microbial features associated with flight into six different categories. These were determined due to the fact that our model contained a categorical variable encoding a sample’s timing relative to flight: whether it was taken before, during, or afterwards. Since the modeling reference group was “MID-FLIGHT,” meaning that the interpretation of any coefficients would be directionally oriented relative to mid-flight microbial feature abundances. As a result, we were able to categorize features based on the jointly considered direction of association and significance for the “PRE-FLIGHT” and “POST-FLIGHT” levels of this variable. The below listed categories are all included in the association summaries provided in Supplementary Table 3.Transient increase in-flight – negative coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable, statistically significant for both Transient increase in-flight (low priority) – negative coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable, statistically significant for at least one of the twoTransient decrease in-flight – positive coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for both Transient decrease in-flight (low priority) – positive coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the twoPotential persistent increase – negative coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the twoPotential persistent decrease – positive coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the two<br><br>
DOI: 10.6084/m9.figshare.23992698.v2
title: i4 -- raw regression output with regards to flight

description: Microbiome associations with spaceflight across classifiers, sequencing modalities, and microbiome features. Raw outputs are stored as .rds files. CSV files are the "categorized" (i.e., parsed) regression based on each feature's trajectory relative to flight (transiently increased, transiently decreased, persistently increased, persistently decreased, etc). Brief methods are as follows:<br><br>We grouped microbial features associated with flight into six different categories. These were determined due to the fact that our model contained a categorical variable encoding a sample’s timing relative to flight: whether it was taken before, during, or afterwards. Since the modeling reference group was “MID-FLIGHT,” meaning that the interpretation of any coefficients would be directionally oriented relative to mid-flight microbial feature abundances. As a result, we were able to categorize features based on the jointly considered direction of association and significance for the “PRE-FLIGHT” and “POST-FLIGHT” levels of this variable. The below listed categories are all included in the association summaries provided in Supplementary Table 3.Transient increase in-flight – negative coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable, statistically significant for both Transient increase in-flight (low priority) – negative coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable, statistically significant for at least one of the twoTransient decrease in-flight – positive coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for both Transient decrease in-flight (low priority) – positive coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the twoPotential persistent increase – negative coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the twoPotential persistent decrease – positive coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the two<br><br>
DOI: 10.6084/m9.figshare.23992698.v1
title: i4 -- raw regression output with regards to flight

description: Microbiome associations with spaceflight across classifiers, sequencing modalities, and microbiome features. Raw outputs are stored as .rds files. CSV files are the "categorized" (i.e., parsed) regression based on each feature's trajectory relative to flight (transiently increased, transiently decreased, persistently increased, persistently decreased, etc). Brief methods are as follows:<br><br>We grouped microbial features associated with flight into six different categories. These were determined due to the fact that our model contained a categorical variable encoding a sample’s timing relative to flight: whether it was taken before, during, or afterwards. Since the modeling reference group was “MID-FLIGHT,” meaning that the interpretation of any coefficients would be directionally oriented relative to mid-flight microbial feature abundances. As a result, we were able to categorize features based on the jointly considered direction of association and significance for the “PRE-FLIGHT” and “POST-FLIGHT” levels of this variable. The below listed categories are all included in the association summaries provided in Supplementary Table 3.Transient increase in-flight – negative coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable, statistically significant for both Transient increase in-flight (low priority) – negative coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable, statistically significant for at least one of the twoTransient decrease in-flight – positive coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for both Transient decrease in-flight (low priority) – positive coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the twoPotential persistent increase – negative coefficient on the PRE-FLIGHT variable level, positive coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the twoPotential persistent decrease – positive coefficient on the PRE-FLIGHT variable level, negative coefficient on the POST-FLIGHT variable level, statistically significant for at least one of the two<br><br>
DOI: 10.5517/ccdc.csd.cc26x7m0
title: CCDC 2052932: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26x7p2
title: CCDC 2052934: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26x7r4
title: CCDC 2052936: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26x7s5
title: CCDC 2052937: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26x7n1
title: CCDC 2052933: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc27005g
title: CCDC 2055584: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26zzqx
title: CCDC 2055570: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc27006h
title: CCDC 2055585: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26zzkr
title: CCDC 2055565: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26zzmt
title: CCDC 2055567: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26zzsz
title: CCDC 2055572: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26zzls
title: CCDC 2055566: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.8266255
title: brotogeris_tirica_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.8266254
title: brotogeris_tirica_spades_01.fasta.gz

description: .
DOI: 10.5517/ccdc.csd.cc2drp84
title: CCDC 2227296: Experimental Crystal Structure Determination

description: Related Article: Zhan-Peng Ge, Yuan Gao, Yan Zhang, Hong-Chun Liu, Jin-Xin Zhao, Jian-Min Yue|2023|J.Org.Chem.|88|11122|doi:10.1021/acs.joc.3c01104
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.cc2drpb6
title: CCDC 2227298: Experimental Crystal Structure Determination

description: Related Article: Zhan-Peng Ge, Yuan Gao, Yan Zhang, Hong-Chun Liu, Jin-Xin Zhao, Jian-Min Yue|2023|J.Org.Chem.|88|11122|doi:10.1021/acs.joc.3c01104
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.cc2drpd8
title: CCDC 2227300: Experimental Crystal Structure Determination

description: Related Article: Zhan-Peng Ge, Yuan Gao, Yan Zhang, Hong-Chun Liu, Jin-Xin Zhao, Jian-Min Yue|2023|J.Org.Chem.|88|11122|doi:10.1021/acs.joc.3c01104
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.cc2dvgzq
title: CCDC 2229984: Experimental Crystal Structure Determination

description: Related Article: Zhan-Peng Ge, Yuan Gao, Yan Zhang, Hong-Chun Liu, Jin-Xin Zhao, Jian-Min Yue|2023|J.Org.Chem.|88|11122|doi:10.1021/acs.joc.3c01104
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.cc2dvhf6
title: CCDC 2229998: Experimental Crystal Structure Determination

description: Related Article: Zhan-Peng Ge, Yuan Gao, Yan Zhang, Hong-Chun Liu, Jin-Xin Zhao, Jian-Min Yue|2023|J.Org.Chem.|88|11122|doi:10.1021/acs.joc.3c01104
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.cc26zzt0
title: CCDC 2055573: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.cc26x7q3
title: CCDC 2052935: Experimental Crystal Structure Determination

description: Related Article: Matthew Allison, Pablo Caramés-Méndez, Benjamin J. Hofmann, Christopher M. Pask, Roger M. Phillips, Rianne M. Lord, Patrick C. McGowan|2023|Organometallics|42|1869|doi:10.1021/acs.organomet.2c00553
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.22255873.v4
title: Labeled 17 Hardwood Species and 55 Genotypes of Populus Stomatal Images Datasets

description: Research has indicated the potential of using machine learning algorithms to detect and measure stomata automatically. However, the current limitation for further improving and fine-tuning machine learning-based stomatal study methods is due to the small, inconsistent, and monotypic nature of stomatal datasets, which are also not easily accessible. To address this issue, our collection comprises more than 11,000 unique images of hardwood leaf stomata gathered from projects conducted between 2015 and 2020-2022. The dataset includes over 7,000 images of 17 frequently encountered hardwood species, including oak, maple, ash, elm, and hickory, as well as over 3,000 images of 55 genotypes from seven Populus taxa (as detailed in Table 1). Each image has been labeled as either stomata (stomatal aperture only) or whole_stomata (stomatal aperture and guard cells) and has a corresponding YOLO label file that can be transformed to other annotation formats. These images and labels are publicly available, making it easier to train machine-learning models and examine leaf stomatal traits. By utilizing our dataset, users can (1) use state-of-the-art machine learning models to identify, count, and quantify leaf stomata; (2) investigate the diverse range of stomatal characteristics across different types of hardwood trees; and (3) create new indices for measuring stomata.
DOI: 10.6084/m9.figshare.23994270
title: Spatial distribution of optimal astronomical observatories development in Indonesia

description: Astronomical observatory construction plays an essential role in astronomy research, education, and tourism development worldwide. This study develops siting distribution scenarios for astronomical observatory locations in Indonesia using a suitability analysis by integrating the physical and atmospheric observatory suitability indexes, machine learning models, and long-term climate models. . The provided dataset presents a bivariate analysis showcasing the comparative outcomes between the multi-machine learning approach and the multi-criteria analysis, culminating in the formulation of the Indonesia Astronomy Observatory Suitability Index.
DOI: 10.6084/m9.figshare.23994270.v1
title: Spatial distribution of optimal astronomical observatories development in Indonesia

description: Astronomical observatory construction plays an essential role in astronomy research, education, and tourism development worldwide. This study develops siting distribution scenarios for astronomical observatory locations in Indonesia using a suitability analysis by integrating the physical and atmospheric observatory suitability indexes, machine learning models, and long-term climate models. . The provided dataset presents a bivariate analysis showcasing the comparative outcomes between the multi-machine learning approach and the multi-criteria analysis, culminating in the formulation of the Indonesia Astronomy Observatory Suitability Index.
DOI: 10.5517/ccdc.csd.cc2fwtdk
title: CCDC 2261059: Experimental Crystal Structure Determination

description: Related Article: Tao Wang, Ji-Xun Guan, Yun-Xuan Tan, Ping Tian|2023|Org.Lett.|25|5935|doi:10.1021/acs.orglett.3c01958
description: Related Article: Yun-Xuan Tan|2023|CSD Communication|||
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.8266270
title: aquila_rapax_spades_01.fasta.gz

description: .