cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.24031053
title: Data from: Importance of habitat heterogeneity in tidal flats to the conservation of migratory shorebirds

description: Data for: Importance of habitat heterogeneity in tidal flats to the conservation of migratory shorebirdsShangxiao Cai, Tong Mu, He-Bo Peng, Zhijun Ma, David S. WilcoveConservation Biology (2022) https://doi.org/10.1111/cobi.14153<br>Data collected at Nanpu, China, in spring 2017. Methods for data collection and analyses were detailed in the paper and associated Supporting Information. Detailed dataset information in README_Nanpu2017.txt
DOI: 10.6084/m9.figshare.24031053.v1
title: Data from: Importance of habitat heterogeneity in tidal flats to the conservation of migratory shorebirds

description: Data for: Importance of habitat heterogeneity in tidal flats to the conservation of migratory shorebirdsShangxiao Cai, Tong Mu, He-Bo Peng, Zhijun Ma, David S. WilcoveConservation Biology (2022) https://doi.org/10.1111/cobi.14153<br>Data collected at Nanpu, China, in spring 2017. Methods for data collection and analyses were detailed in the paper and associated Supporting Information. Detailed dataset information in README_Nanpu2017.txt
DOI: 10.6084/m9.figshare.24031056
title: Antenna array one type and three types of faults dataset

description: Radiation pattern dataset of 4 x 4 antenna array is available in two folders, folder name "one type of fault" contains 663 radiation pattern samples related to one type of fault and folder name "Three types of faults" contains 1911 Radiation pattern samples related to three types of faults.
DOI: 10.5517/ccdc.csd.cc28c17y
title: CCDC 2095979: Experimental Crystal Structure Determination

description: Related Article: Jie Yan, Min Song, Dong-Ying Zhou, Shek-Man Yiu, Liang-Sheng Liao, Yun Chi, Mo Xie|2023|Organometallics|42|2070|doi:10.1021/acs.organomet.3c00245
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.cc2dqskh
title: CCDC 2226437: Experimental Crystal Structure Determination

description: Related Article: Gabriel Durin, Mi-Young Lee, Martina A. Pogany, Thomas Weyhermüller, Nicolas Kaeffer, Walter Leitner|2023|J.Am.Chem.Soc.|145|17103|doi:10.1021/jacs.3c03340
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.cc2f3mx3
title: CCDC 2237825: Experimental Crystal Structure Determination

description: Related Article: Radosław Starosta, Rodrigo F.M. de Almeida, Małgorzata Puchalska, Jakub Suchodolski, Daria Derkacz, Anna Krasowska|2023|J.Inorg.Biochem.|248|112355|doi:10.1016/j.jinorgbio.2023.112355
description: Related Article: Radoslaw Starosta|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: 10.5517/ccdc.csd.cc2f3my4
title: CCDC 2237826: Experimental Crystal Structure Determination

description: Related Article: Radosław Starosta, Rodrigo F.M. de Almeida, Małgorzata Puchalska, Jakub Suchodolski, Daria Derkacz, Anna Krasowska|2023|J.Inorg.Biochem.|248|112355|doi:10.1016/j.jinorgbio.2023.112355
description: Related Article: Radoslaw Starosta|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: 10.5517/ccdc.csd.cc2f4s2g
title: CCDC 2238915: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fnhg2
title: CCDC 2254024: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fnhh3
title: CCDC 2254025: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fnhj4
title: CCDC 2254026: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fnhk5
title: CCDC 2254027: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fnhl6
title: CCDC 2254028: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fnhm7
title: CCDC 2254029: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fsx7d
title: CCDC 2258264: Experimental Crystal Structure Determination

description: Related Article: Mia Guo, Yu Zhang, Meng-Jiao Zhang, Tian Li, Jia-Yi Wu, Feng-Shou Liu|2023|Organometallics|42|2028|doi:10.1021/acs.organomet.3c00225
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.cc2fsx8f
title: CCDC 2258265: Experimental Crystal Structure Determination

description: Related Article: Mia Guo, Yu Zhang, Meng-Jiao Zhang, Tian Li, Jia-Yi Wu, Feng-Shou Liu|2023|Organometallics|42|2028|doi:10.1021/acs.organomet.3c00225
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.cc2ft93p
title: CCDC 2258632: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2ft94q
title: CCDC 2258633: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fv7fz
title: CCDC 2259541: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fv7g0
title: CCDC 2259542: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.cc2fx7g2
title: CCDC 2261464: Experimental Crystal Structure Determination

description: Related Article: Richard R. Schrock, René Riedel, Milan Maji, Matthew P. Conley, Veronica Carta|2023|Organometallics|42|2038|doi:10.1021/acs.organomet.3c00229
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.24031281
title: <b>Causal effects of non-alcoholic fatty liver disease on </b><b>osteoporosis</b><b>: A Mendelian randomization study</b>

description: There is an ongoing debate on whether non-alcoholic fatty liver disease (NAFLD) is an active contributor or an innocent bystander in the pathogenesis of osteoporosis (OP). The aim of this study was to assess the causal association between NAFLD and OP, using the publicly available genome‐wide association study (GWAS) data.<b> </b>We performed two‐sample Mendelian randomization (MR) analyses to investigate the casual association between genetically predicted NAFLD (i.e., imaging‐based liver fat content [LFC], chronically elevated serum alanine aminotransferase [cALT] and biopsy-confirmed NAFLD) and risk of OP. The inverse variant weighted method was performed as main analysis to obtain the casual estimates.<b> </b>We found that <b>i</b>maging-based LFC and biopsy-confirmed NAFLD demonstrated a suggestive causal association with OP. The association between cALT and OP showed a similar direction, but was not statistically significant. Repeated analyses after exclusion of genes associated with confounding factors showed consistent results. Sensitivity analysis indicated low heterogeneity, high reliability and low pleiotropy of the causal estimates. In summary, the two‐sample MR analyses suggest a casual association between genetically predicted NAFLD and OP.
DOI: 10.6084/m9.figshare.24031281.v1
title: <b>Causal effects of non-alcoholic fatty liver disease on </b><b>osteoporosis</b><b>: A Mendelian randomization study</b>

description: There is an ongoing debate on whether non-alcoholic fatty liver disease (NAFLD) is an active contributor or an innocent bystander in the pathogenesis of osteoporosis (OP). The aim of this study was to assess the causal association between NAFLD and OP, using the publicly available genome‐wide association study (GWAS) data.<b> </b>We performed two‐sample Mendelian randomization (MR) analyses to investigate the casual association between genetically predicted NAFLD (i.e., imaging‐based liver fat content [LFC], chronically elevated serum alanine aminotransferase [cALT] and biopsy-confirmed NAFLD) and risk of OP. The inverse variant weighted method was performed as main analysis to obtain the casual estimates.<b> </b>We found that <b>i</b>maging-based LFC and biopsy-confirmed NAFLD demonstrated a suggestive causal association with OP. The association between cALT and OP showed a similar direction, but was not statistically significant. Repeated analyses after exclusion of genes associated with confounding factors showed consistent results. Sensitivity analysis indicated low heterogeneity, high reliability and low pleiotropy of the causal estimates. In summary, the two‐sample MR analyses suggest a casual association between genetically predicted NAFLD and OP.
DOI: 10.6084/m9.figshare.24031668
title: Supplementary Data for Metastatic Osteosarcoma Bioinformatic Analysis.docx

description: Detailed dataset and figure from poster
DOI: 10.6084/m9.figshare.24031668.v1
title: Supplementary Data for Metastatic Osteosarcoma Bioinformatic Analysis.docx

description: Detailed dataset and figure from poster
DOI: 10.5281/zenodo.8277951
title: A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft

description: Openly available supplementary data to accompany paper https://doi.org/10.3390/aerospace10090746. Data set includes geometry, Pointwise (2022.1.2) and Fluent (2022R1) grid files and corrected experimental data for lift, drag and pitching moment at a freestream velocity of 20 m/s and standard sea level conditions for the SSAM-Gen5 model. When using this data, please cite: Giannelis, N.F.; Bykerk, T.; Vio, G.A. A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft. Aerospace 2023, 10, 746.
DOI: 10.5281/zenodo.8277950
title: A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft

description: Openly available supplementary data to accompany paper https://doi.org/10.3390/aerospace10090746. Data set includes geometry, Pointwise (2022.1.2) and Fluent (2022R1) grid files and corrected experimental data for lift, drag and pitching moment at a freestream velocity of 20 m/s and standard sea level conditions for the SSAM-Gen5 model. When using this data, please cite: Giannelis, N.F.; Bykerk, T.; Vio, G.A. A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft. Aerospace 2023, 10, 746.
DOI: 10.5281/zenodo.8280935
title: A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft (CGNS grid files)

description: Openly available supplementary data to accompany paper https://doi.org/10.3390/aerospace10090746. This data set includes unstructured CGNS grid files to facilitate code comparison. When using this data, please cite: Giannelis, N.F.; Bykerk, T.; Vio, G.A. A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft. Aerospace 2023, 10, 746.
DOI: 10.5281/zenodo.8280934
title: A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft (CGNS grid files)

description: Openly available supplementary data to accompany paper https://doi.org/10.3390/aerospace10090746. This data set includes unstructured CGNS grid files to facilitate code comparison. When using this data, please cite: Giannelis, N.F.; Bykerk, T.; Vio, G.A. A Generic Model for Benchmark Aerodynamic Analysis of Fifth-Generation High-Performance Aircraft. Aerospace 2023, 10, 746.
DOI: 10.25415/ujhb.23954772
title: Microsatellite dataset - foregrounding geodiversity.xlsx

description: Sampling:Transect sampling was conducted on eastern Marion Island at two sampling areas, namely Nellie Humps (NH) Skua Ridge (SR). The NH site included 24 sampling points separated from each other by a geographic distance ranging from 30 to 120 m, while the SR site comprised 21 sampling points separated by distances ranging from 60 and 190 m. <i>Cryptopygus antarcticus travei</i> specimens were collected by extracting them from sampled moss and/or ferns (approximately 10 cm<sup>3</sup>) using Berlese-Tullgren funnels. Twenty individuals of <i>C. a. travei </i>from each sampling point were identified and sorted using a compound light microscope, and stored in absolute ethanol (Merck, South Africa).Microsatellite genotyping:Whole genomic DNA was extracted using the DNeasy<sup>®</sup> Blood and Tissue Kit (Qiagen<sup>®</sup>, Hilden, Germany), according to the manufacturer's recommendations, with minor modifications that included a longer digestion step (overnight, but not more than 20 hours) and a reduced final elution volume (75 μl instead of 100 μl). Microsatellite loci were amplified in multiplex reactions (seven multiplex sets based on the criteria described by Rastorgueff et al., 2016) using 21 highly variable and species-specific markers (Rastorgueff et al., 2016), and fragment analysis was performed on a MultiGene<sup>TM</sup> OptiMax Thermal Cycler (Applied Biosystems). Cleaned PCR amplicons were sized using the ABI Prism<sup>®</sup> 3500XL Genetic Analyser (Applied Biosystems, Foster City, California, USA). Alleles were analysed, scored, and binned manually using the Geneious v8.1.5 microsatellite plugin 1.4 (Kearse et al., 2012).The dataset added to the repository consists of the scored genotype data for all individuals from both sampling localities.
DOI: 10.25415/ujhb.23954772.v1
title: Monsanto et al., - dataset - foregrounding geodiversity.xlsx

description: Sampling:Transect sampling was conducted on eastern Marion Island at two sampling areas, namely Nellie Humps (NH) Skua Ridge (SR). The NH site included 24 sampling points separated from each other by a geographic distance ranging from 30 to 120 m, while the SR site comprised 21 sampling points separated by distances ranging from 60 and 190 m. <i>Cryptopygus antarcticus travei</i> specimens were collected by extracting them from sampled moss and/or ferns (approximately 10 cm<sup>3</sup>) using Berlese-Tullgren funnels. Twenty individuals of <i>C. a. travei </i>from each sampling point were identified and sorted using a compound light microscope, and stored in absolute ethanol (Merck, South Africa).Microsatellite genotyping:Whole genomic DNA was extracted using the DNeasy<sup>®</sup> Blood and Tissue Kit (Qiagen<sup>®</sup>, Hilden, Germany), according to the manufacturer's recommendations, with minor modifications that included a longer digestion step (overnight, but not more than 20 hours) and a reduced final elution volume (75 μl instead of 100 μl). Microsatellite loci were amplified in multiplex reactions (seven multiplex sets based on the criteria described by Rastorgueff et al., 2016) using 21 highly variable and species-specific markers (Rastorgueff et al., 2016), and fragment analysis was performed on a MultiGene<sup>TM</sup> OptiMax Thermal Cycler (Applied Biosystems). Cleaned PCR amplicons were sized using the ABI Prism<sup>®</sup> 3500XL Genetic Analyser (Applied Biosystems, Foster City, California, USA). Alleles were analysed, scored, and binned manually using the Geneious v8.1.5 microsatellite plugin 1.4 (Kearse et al., 2012).The dataset added to the repository consists of the scored genotype data for all individuals from both sampling localities.