cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc22gbkg
title: CCDC 1920405: Experimental Crystal Structure Determination

description: Related Article: Heng Liu, Joseph M. Tanski|2022|Polyhedron|224|115999|doi:10.1016/j.poly.2022.115999
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.cc22grs3
title: CCDC 1920815: Experimental Crystal Structure Determination

description: Related Article: Heng Liu, Joseph M. Tanski|2022|Polyhedron|224|115999|doi:10.1016/j.poly.2022.115999
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.cc22h2xl
title: CCDC 1921129: Experimental Crystal Structure Determination

description: Related Article: Heng Liu, Joseph M. Tanski|2022|Polyhedron|224|115999|doi:10.1016/j.poly.2022.115999
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.cc245bl8
title: CCDC 1971339: Experimental Crystal Structure Determination

description: Related Article: Eniya Palaniyasan, Anbarasan Radhakrishnan, Shivaraj R. Maidur, Parutagouda Shankaragouda Patil, Kalyana Sundar Jeyaperumal|2022|J.Mol.Struct.|1268|133557|doi:10.1016/j.molstruc.2022.133557
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.cc28wwnq
title: CCDC 2112174: Experimental Crystal Structure Determination

description: Related Article: Janusz Lipkowski, Anna Bielejewska, Oliver Presly|2022|Carbohydr.Res.|520|108601|doi:10.1016/j.carres.2022.108601
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.cc22ghsv
title: CCDC 1920567: Experimental Crystal Structure Determination

description: Related Article: Heng Liu, Joseph M. Tanski|2022|Polyhedron|224|115999|doi:10.1016/j.poly.2022.115999
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.6836381
title: Gridded Dataset for the Southern Ocean with a Topographic Constraint Scheme

description: This study investigated a method for creating a climatological dataset with improved reproducibility and reliability for the Southern Ocean. Despite sparse observational sampling, the Southern Ocean has a dominant physical characteristic of a strong topographic constraint formed under weak stratification and strong Coriolis effect. To increase the fidelity of gridded data, the topographic constraint is incorporated into the interpolation method, the weighting function of which includes a contribution from bottom depth differences and horizontal distances. Spatial variability of physical properties was also analyzed to estimate a realistic decorrelation scale for horizontal distance and bottom depth differences using hydrographic datasets. A new gridded dataset, the topographic constraint incorporated (TCI), was then developed for temperature, salinity, and dissolved oxygen, using the newly derived weighting function and decorrelation scales. The root-meansquare (RMS) of the difference between the interpolated values and the neighboring observed values (RMS difference) was compared among available gridded datasets. That the RMS differences are smaller for the TCI than for the previous datasets by 12%–21% and 8%–20% for potential temperature and salinity, respectively, demonstrates the effectiveness of incorporating the topographic constraint and realistic decorrelation scales. Furthermore, a comparison of decorrelation scales and an analysis of interpolation error suggests that the decorrelation scales adopted in previous gridded datasets are 2 times or more larger than realistic scales and that the overestimation would increase the interpolation error. The interpolation method proposed in this study can be applied to other high-latitude oceans, which are weakly stratified but undersampled.
DOI: 10.5281/zenodo.6836380
title: Gridded Dataset for the Southern Ocean with a Topographic Constraint Scheme

description: This study investigated a method for creating a climatological dataset with improved reproducibility and reliability for the Southern Ocean. Despite sparse observational sampling, the Southern Ocean has a dominant physical characteristic of a strong topographic constraint formed under weak stratification and strong Coriolis effect. To increase the fidelity of gridded data, the topographic constraint is incorporated into the interpolation method, the weighting function of which includes a contribution from bottom depth differences and horizontal distances. Spatial variability of physical properties was also analyzed to estimate a realistic decorrelation scale for horizontal distance and bottom depth differences using hydrographic datasets. A new gridded dataset, the topographic constraint incorporated (TCI), was then developed for temperature, salinity, and dissolved oxygen, using the newly derived weighting function and decorrelation scales. The root-meansquare (RMS) of the difference between the interpolated values and the neighboring observed values (RMS difference) was compared among available gridded datasets. That the RMS differences are smaller for the TCI than for the previous datasets by 12%–21% and 8%–20% for potential temperature and salinity, respectively, demonstrates the effectiveness of incorporating the topographic constraint and realistic decorrelation scales. Furthermore, a comparison of decorrelation scales and an analysis of interpolation error suggests that the decorrelation scales adopted in previous gridded datasets are 2 times or more larger than realistic scales and that the overestimation would increase the interpolation error. The interpolation method proposed in this study can be applied to other high-latitude oceans, which are weakly stratified but undersampled.
DOI: 10.6084/m9.figshare.19501945
title: Suarez et al. Urban birds functional diversity EAP21-0638

description: Supplementary data paper:<br>Disentangling direct and indirect effects of landscape structure on urban bird richness and functional diversity <br><br>Andrés Felipe Suárez-Castro, Martine Maron, Matthew G.E. Mitchell and Jonathan R. Rhodes<br><br>Table D1: Species recorded in the landscape units during the 5-minute point count surveys. We report the species traits and the guilds we used to classify each species. Species included within a guild are based on the main item of consumption (&gt; 60 %) as reported by Wilman et al. (2014). Groups used to estimate species abundances and the model with the lowest AIC and the coefficient of variation (CV) is shown. Within each group, we used species (s) as a covariate to model the scale parameter. Other potential covariates were season (se) and percentage of tree cover (t); hn = half detection function. Species with NA in the density estimates did not have enough records to fit the detection function. Species of raptors (<i>Ellanus axillaris</i>, <i>Aviceda subcristata </i>and <i>Haliastur sphenurus</i>) that were recorded sporadically during the point counts are omitted. <br>
DOI: 10.6084/m9.figshare.19501945.v1
title: Suarez et al. Bird data Brisbane 2016

description: Supplementary data paper:<br>Disentangling direct and indirect effects of landscape structure on urban bird richness and functional diversity <br><br>Andrés Felipe Suárez-Castro, Martine Maron, Matthew G.E. Mitchell and Jonathan R. Rhodes<br><br>Table D1: Species recorded in the landscape units during the 5-minute point count surveys. We report the species traits and the guilds we used to classify each species. Species included within a guild are based on the main item of consumption (&gt; 60 %) as reported by Wilman et al. (2014). Groups used to estimate species abundances and the model with the lowest AIC and the coefficient of variation (CV) is shown. Within each group, we used species (s) as a covariate to model the scale parameter. Other potential covariates were season (se) and percentage of tree cover (t); hn = half detection function. Species with NA in the density estimates did not have enough records to fit the detection function. Species of raptors (<i>Ellanus axillaris</i>, <i>Aviceda subcristata </i>and <i>Haliastur sphenurus</i>) that were recorded sporadically during the point counts are omitted. <br>
DOI: 10.34740/kaggle/dsv/3944680
title: OntoUML/UFO Catalog
DOI: 10.25919/560q-yn44
title: Parkes observations for project P1054 semester 2022APRS_15

description: With this proposal we ask time to continue our timing follow-up campaign of pulsars discovered with the MeerKAT telescope. Fourteen sources have been discovered in targeted observations of Fermi unidentified point sources, three in the Small Magellanic Cloud, 37 in Globular Clusters and 34 in a survey of the Galactic plane. A large fraction of the new discoveries are recycled pulsars (including at least one double neutron star system and several 'spider' binaries), or young pulsars. Timing observations have an essential role in exploiting the full potential of any pulsar discovery, allowing the precise measurement of rotational, astrometric and orbital parameters which, in turn, give us powerful tools to improve our understanding of the physics in extreme environments as well as of the population of neutron stars as a whole. The UWL receiver of the Parkes telescope is a sensitive, versatile instrument that is allowing us to successfully time these new sources, in the bright-end of TRAPUM discoveries. The UWL has also the unique advantage of allowing detailed studies of the eclipses of the so-called 'spider' pulsars, which make up about 1/3rd of the sources we aim at following-up with this project.
DOI: 10.5281/zenodo.6301037
title: Sandwich Bluff Rock Magnetic Data

description: Rock magnetic measurement level data for 2G Enterprises SQuID magnetometer following the RAPID protocols on 6 specimens from Sandwich Bluff, Vega Island, Antarctica. The protocol for each specimen was measurements of alternating field demagnetization of the natural remanent magnetization (NRM), anhysteretic remanent magnetization (ARM) acquisition and demagnetization, isothermal remanent magnetization (IRM) acquisition and demagnetization, and backfield IRM acquisition.
DOI: 10.5281/zenodo.6301036
title: Sandwich Bluff Rock Magnetic Data

description: Rock magnetic measurement level data for 2G Enterprises SQuID magnetometer following the RAPID protocols on 6 specimens from Sandwich Bluff, Vega Island, Antarctica. The protocol for each specimen was measurements of alternating field demagnetization of the natural remanent magnetization (NRM), anhysteretic remanent magnetization (ARM) acquisition and demagnetization, isothermal remanent magnetization (IRM) acquisition and demagnetization, and backfield IRM acquisition.
DOI: 10.6084/m9.figshare.20315712
title: Table A-Factors of OHS training management

description: <strong>System dynamics simulation of management cause model based on Netlogo</strong>
DOI: 10.6084/m9.figshare.20315712.v2
title: Table A-Factors of OHS training management

description: <strong>System dynamics simulation of management cause model based on Netlogo</strong>
DOI: 10.6084/m9.figshare.20315712.v1
title: Table A-Factors of OHS training management

description: <strong>System dynamics simulation of management cause model based on Netlogo</strong>
DOI: 10.5439/1418674
title: Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): engineering data

description: This datastream encapsulates the contents of the ASSIST "hkp" (housekeeping) files. The reported values are from one-wire sensors that capture and report a variety of system measurements including T, RH, and voltages.
DOI: 10.5439/1418675
title: Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): channel 1 data

description: This datastream encapsulates the contents of the ASSIST "cha" files of calibrated sky radiances, brightness temperatures and noise equivalent radiance files.
DOI: 10.5439/1418676
title: Atmospheric Sounder Spectrometer for Infrared Spectral Technology (ASSIST): channel 2 data

description: This datastream encapsulates the contents of the ASSIST "chb" files of calibrated sky radiances, brightness temperatures and noise equivalent radiance files.
DOI: 10.5517/ccdc.csd.cc24kdy2
title: CCDC 1982944: Experimental Crystal Structure Determination

description: Related Article: Chandresh Kumari, Avijit Goswami|2022|J.Org.Chem.|87|8396|doi:10.1021/acs.joc.2c00301
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.cc278bgb
title: CCDC 2063591: Experimental Crystal Structure Determination

description: Related Article: Chandresh Kumari, Avijit Goswami|2022|J.Org.Chem.|87|8396|doi:10.1021/acs.joc.2c00301
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.cc278jmp
title: CCDC 2063782: Experimental Crystal Structure Determination

description: Related Article: Chandresh Kumari, Avijit Goswami|2022|J.Org.Chem.|87|8396|doi:10.1021/acs.joc.2c00301
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.cc2790g1
title: CCDC 2064242: Experimental Crystal Structure Determination

description: Related Article: Chandresh Kumari, Avijit Goswami|2022|J.Org.Chem.|87|8396|doi:10.1021/acs.joc.2c00301
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.cc2799rm
title: CCDC 2064530: Experimental Crystal Structure Determination

description: Related Article: Chandresh Kumari, Avijit Goswami|2022|J.Org.Chem.|87|8396|doi:10.1021/acs.joc.2c00301
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.cc279tjx
title: CCDC 2065019: Experimental Crystal Structure Determination

description: Related Article: Chandresh Kumari, Avijit Goswami|2022|J.Org.Chem.|87|8396|doi:10.1021/acs.joc.2c00301
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.cc27kb8f
title: CCDC 2072234: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kb9g
title: CCDC 2072235: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbbh
title: CCDC 2072236: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbcj
title: CCDC 2072237: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbdk
title: CCDC 2072238: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbfl
title: CCDC 2072239: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbgm
title: CCDC 2072240: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbhn
title: CCDC 2072241: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbpv
title: CCDC 2072247: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.cc27kbqw
title: CCDC 2072248: Experimental Crystal Structure Determination

description: Related Article: Joshua A. Malone, Satish Chandra Philkhana, Jacob R. Stepherson, Fatimat O. Badmus, Frank R. Fronczek, Rendy Kartika|2022|Org.Lett.|24|4810|doi:10.1021/acs.orglett.2c01890
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.