cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26fjqx
title: CCDC 2038799: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fjry
title: CCDC 2038800: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fjsz
title: CCDC 2038801: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fjt0
title: CCDC 2038802: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fjv1
title: CCDC 2038803: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fjw2
title: CCDC 2038804: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fjx3
title: CCDC 2038805: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fjz5
title: CCDC 2038807: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk07
title: CCDC 2038808: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk18
title: CCDC 2038809: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk29
title: CCDC 2038810: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk3b
title: CCDC 2038811: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk4c
title: CCDC 2038812: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk5d
title: CCDC 2038813: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk6f
title: CCDC 2038814: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk7g
title: CCDC 2038815: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fk8h
title: CCDC 2038816: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fkbk
title: CCDC 2038818: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fkcl
title: CCDC 2038819: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fkdm
title: CCDC 2038820: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fkfn
title: CCDC 2038821: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fkgp
title: CCDC 2038822: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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.cc26fkhq
title: CCDC 2038823: Experimental Crystal Structure Determination

description: Related Article: Shoko Kikkawa, Misaki Okayasu, Hidemasa Hikawa, Isao Azumaya|2021|Cryst.Growth Des.|21|1148|doi:10.1021/acs.cgd.0c01469
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: 10.35077/act-bus
title: Neuron Morphology data in .swc format from Patch-seq experiments in mouse cortex, Cell ID 643536919

description: Mouse cortical neurons display diverse morphology, physiology and gene expression profiles. We use a method called Patch-seq, where these three data modalities are assayed simultaneously from the same neuron, to understand how the genetic profile of mouse cortical neuron types corresponds to their morphological and electrophysiological phenotypes. This collection may contain image stacks (TIFF), reconstruction files in image space (.swc, µm), a transformed file (.swc, µm) oriented so that the y axis extends vertically towards the pia surface, and a marker file (.marker, µm) indicating nodes where dendrites were truncated (10), reconstruction was not continued (20), or surface of tissue was closest to soma (30).
description: manual tracing
description: DATASET METADATA: title:'Neuron Morphology data in .swc format from Patch-seq experiments in mouse cortex, Cell ID 643536919', GeneralModality:'cell morphology', Technique:'PATCH-Seq' SPECIMEN METADATA: LocalID:'643536919', Species:'mouse', NCBITaxonomy:'NCBI:txid10090', Genotype:'Chrna2-Cre_OE25/wt;Ai14(RCL-tdT)/wt', SampleLocalID:'643536919', Locations:'VISpm5' INSTRUMENT METADATA: MicroscopeType:'NA', MicroscopeManufacturerAndModel:'NA' IMAGE METADATA: xAxis:'NA', yAxis:'NA', zAxis:'NA', stepSizeX:'0.114', stepSizeY:'0.114', stepSizeZ:'0.28'
DOI: 10.5281/zenodo.7576958
title: Seasonal ocean forecasts to improve predictions of Dungeness crab catch rates, co-developed with state and tribal fishery managers

description: Historical (hindcast) and September initialized forecast fields from the J-SCOPE system (more information here: https://www.nanoos.org/products/j-scope/). The historical fields are annual averages while the forecasts are averaged monthly. The fields here were used to generate the CPUE models described in Norton et al. (2023). Abstract from the paper: The commercial Dungeness crab (Metacarcinus magister) fishery in Oregon and Washington (USA) is one of the most valuable fisheries in the region, but it experiences high interannual variability. These fluctuations have been attributed to environmental drivers on seasonal and annual timescales. In this study, researchers and state and tribal fisheries managers develop a statistical model for Dungeness crab catch per unit effort (CPUE) to help inform dynamic management decisions in Oregon and Washington. Fishing observations were matched to seasonally forecast and lagged ocean conditions from J-SCOPE, a regional forecast system (http://www.nanoos.org/products/j-scope/). Inclusion of dynamic and lagged ocean conditions improved model skill compared to simpler models, and the best model captured intraseasonal trends and interannual variability in catch rates, and spatial catch patterns. We also found that model skill relied on fishing behaviour, which varies interannually, highlighting the need for advanced fishing behaviour modelling to reduce uncertainty. The relationships between catch rates and ocean conditions may help elucidate environmental influences of catch variability. Forecast products were co-designed with managers to meet their needs for key decision points. Our results illustrate a seasonal forecasting approach for management of other highly productive, but also dynamic, invertebrates that increasingly contribute to global fisheries yield.
description: NOAA Climate Program Office MAPP (grant # NA17OAR4310112) supported this work.
DOI: 10.5281/zenodo.7576957
title: Seasonal ocean forecasts to improve predictions of Dungeness crab catch rates, co-developed with state and tribal fishery managers

description: Historical (hindcast) and September initialized forecast fields from the J-SCOPE system (more information here: https://www.nanoos.org/products/j-scope/). The historical fields are annual averages while the forecasts are averaged monthly. The fields here were used to generate the CPUE models described in Norton et al. (2023). Abstract from the paper: The commercial Dungeness crab (Metacarcinus magister) fishery in Oregon and Washington (USA) is one of the most valuable fisheries in the region, but it experiences high interannual variability. These fluctuations have been attributed to environmental drivers on seasonal and annual timescales. In this study, researchers and state and tribal fisheries managers develop a statistical model for Dungeness crab catch per unit effort (CPUE) to help inform dynamic management decisions in Oregon and Washington. Fishing observations were matched to seasonally forecast and lagged ocean conditions from J-SCOPE, a regional forecast system (http://www.nanoos.org/products/j-scope/). Inclusion of dynamic and lagged ocean conditions improved model skill compared to simpler models, and the best model captured intraseasonal trends and interannual variability in catch rates, and spatial catch patterns. We also found that model skill relied on fishing behaviour, which varies interannually, highlighting the need for advanced fishing behaviour modelling to reduce uncertainty. The relationships between catch rates and ocean conditions may help elucidate environmental influences of catch variability. Forecast products were co-designed with managers to meet their needs for key decision points. Our results illustrate a seasonal forecasting approach for management of other highly productive, but also dynamic, invertebrates that increasingly contribute to global fisheries yield.
description: NOAA Climate Program Office MAPP (grant # NA17OAR4310112) supported this work.
DOI: 10.3886/e117443
title: Data and Code for: The Long-Run Effects of a Public Policy on Alcohol Tastes and Mortality

description: We study the long-run effects of Russia's anti-alcohol campaign, which dramatically altered the relative supply of hard and light alcohol in the late 1980s. We find that this policy shifted young men's long-run preferences from hard to light alcohol decades later and we estimate the age at which consumers form their tastes. We show that the large beer market expansion in the late 1990s had similar effects on young consumers' tastes, while older consumers' tastes remained largely unchanged. We then link these long-run changes in alcohol consumption patterns to changes in male mortality. The shift from hard to light alcohol reduced incidences of binge drinking substantially, leading to fewer alcohol-related deaths. We conclude that the resulting large cohort differences in current alcohol consumption shares explain a significant part of the recent decrease in male mortality. Simulations suggest that mortality will continue to decrease by another 23% over the next twenty years due to persistent changes in consumer tastes. Program impact evaluations that focus only on contemporaneous effects can therefore severely underestimate the total effect of such public policies that change preferences for goods.
DOI: 10.6084/m9.figshare.21967030
title: R code from Can species naming drive scientific attention? A perspective from plant-feeding arthropods

description: R code for all analyses reported
DOI: 10.6084/m9.figshare.21967030.v1
title: R code from Can species naming drive scientific attention? A perspective from plant-feeding arthropods

description: R code for all analyses reported
DOI: 10.3886/e117443v1
title: Data and Code for: The Long-Run Effects of a Public Policy on Alcohol Tastes and Mortality

description: We study the long-run effects of Russia's anti-alcohol campaign, which dramatically altered the relative supply of hard and light alcohol in the late 1980s. We find that this policy shifted young men's long-run preferences from hard to light alcohol decades later and we estimate the age at which consumers form their tastes. We show that the large beer market expansion in the late 1990s had similar effects on young consumers' tastes, while older consumers' tastes remained largely unchanged. We then link these long-run changes in alcohol consumption patterns to changes in male mortality. The shift from hard to light alcohol reduced incidences of binge drinking substantially, leading to fewer alcohol-related deaths. We conclude that the resulting large cohort differences in current alcohol consumption shares explain a significant part of the recent decrease in male mortality. Simulations suggest that mortality will continue to decrease by another 23% over the next twenty years due to persistent changes in consumer tastes. Program impact evaluations that focus only on contemporaneous effects can therefore severely underestimate the total effect of such public policies that change preferences for goods.
DOI: 10.18434/mds2-2762
title: Software and Data associated with "Binding, Brightness, or Noise? Extracting Temperature-dependent Properties of Dye Bound to DNA"