cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5519/qd.123g3dho
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.57778/wsrc-jh08
title: Abundances and body size of infauna collected from around the mouth of Mobile Bay, AL, in June 2021
DOI: 10.6084/m9.figshare.22519831
title: Water quality conditions for 52 stations across the northern nearshore of the Laurentian Great Lakes (2000-2019)

description: We provide the first comprehensive analysis of spatial heterogeneity in the Canadian nearshore regions of the Laurentian Great Lakes spanning from 2000 to 2019 with water quality variables for 52 nearshore sites.
DOI: 10.6084/m9.figshare.22519831.v1
title: Water quality conditions for 52 stations across the northern nearshore of the Laurentian Great Lakes (2000-2019)

description: We provide the first comprehensive analysis of spatial heterogeneity in the Canadian nearshore regions of the Laurentian Great Lakes spanning from 2000 to 2019 with water quality variables for 52 nearshore sites.
DOI: 10.5517/ccdc.csd.cc28tf3n
title: CCDC 2109801: Experimental Crystal Structure Determination

description: Related Article: Eyad A. Younes, Nayyef Aljaar, Maryam F. Abdollahi, Majed Shtaiwi, Maram J. Issa, Yuming Zhao|2023|New J.Chem.|47|6708|doi:10.1039/D2NJ06320D
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.cc2b5hyz
title: CCDC 2150251: Experimental Crystal Structure Determination

description: Related Article: Małgorzata E. Zakrzewska, Paulo J. L. André, Clara S. B. Gomes, Ana V. M. Nunes, Vitor Rosa|2023|New J.Chem.|47|6551|doi:10.1039/D2NJ05621F
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.cc2b5hz0
title: CCDC 2150252: Experimental Crystal Structure Determination

description: Related Article: Małgorzata E. Zakrzewska, Paulo J. L. André, Clara S. B. Gomes, Ana V. M. Nunes, Vitor Rosa|2023|New J.Chem.|47|6551|doi:10.1039/D2NJ05621F
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.cc2b5j02
title: CCDC 2150253: Experimental Crystal Structure Determination

description: Related Article: Małgorzata E. Zakrzewska, Paulo J. L. André, Clara S. B. Gomes, Ana V. M. Nunes, Vitor Rosa|2023|New J.Chem.|47|6551|doi:10.1039/D2NJ05621F
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.cc2c343r
title: CCDC 2177753: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c344s
title: CCDC 2177754: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c345t
title: CCDC 2177755: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c346v
title: CCDC 2177756: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c347w
title: CCDC 2177757: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c348x
title: CCDC 2177758: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c349y
title: CCDC 2177759: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c34bz
title: CCDC 2177760: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2c34c0
title: CCDC 2177761: Experimental Crystal Structure Determination

description: Related Article: Jing Sun, Chen Yan, Qiu Sun, Ying Han, Chao-Guo Yan|2023|New J.Chem.|47|6694|doi:10.1039/D3NJ00013C
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.cc2cx76r
title: CCDC 2201874: Experimental Crystal Structure Determination

description: Related Article: Alebel Nibret Belay, Johan Andries Venter, Orbett Teboho Alexander, and Andreas Roodt|2022|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: 10.25612/837.g6eqrv32jkew
title: Aggregated Crash Data from TxDOT (2022) - City of Houston

description: Summary tables derived from TxDOT crash data for the City of Houston in 2022 comparing the severity of the crash, ethnicity/race, age group, and mode of transportation.
DOI: 10.5517/ccdc.csd.cc2dcbns
title: CCDC 2215435: Experimental Crystal Structure Determination

description: Related Article: Nikita R. Romanenko, Maxim A. Faraonov, Nikita G. Osipov, Alexey V. Kuzmin, Salavat S. Khasanov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Dmitri V. Konarev|2023|New J.Chem.|47|6924|doi:10.1039/D3NJ00506B
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.21334896
title: Data from: A survey of researchers' methods sharing practices and priorities

description: Research data associated with the preprint "A survey of researchers' methods sharing practices and priorities." This dataset has two files: A pdf of the survey instrument, as presented to respondents An Excel spreadsheet containing the 997 completed responses to the survey. To mitigate the risk of identifying respondents, some answers have been removed. Country-level data were also replaced by region-level data. Anonymization details are in the README tab of the Excel spreadsheet. The associated preprint is available on MetaArXiv: https://osf.io/preprints/metaarxiv/7jxav.
DOI: 10.5517/ccdc.csd.cc2dnczf
title: CCDC 2224125: Experimental Crystal Structure Determination

description: Related Article: Eyad A. Younes, Nayyef Aljaar, Maryam F. Abdollahi, Majed Shtaiwi, Maram J. Issa, Yuming Zhao|2023|New J.Chem.|47|6708|doi:10.1039/D2NJ06320D
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.cc2dxwz6
title: CCDC 2232309: Experimental Crystal Structure Determination

description: Related Article: Kazuya Tanimura, Masayuki Gon, Kazuo Tanaka|2023|Inorg.Chem.|62|4590|doi:10.1021/acs.inorgchem.2c04478
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.cc2dxx08
title: CCDC 2232310: Experimental Crystal Structure Determination

description: Related Article: Kazuya Tanimura, Masayuki Gon, Kazuo Tanaka|2023|Inorg.Chem.|62|4590|doi:10.1021/acs.inorgchem.2c04478
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.cc2dyvt1
title: CCDC 2233234: Experimental Crystal Structure Determination

description: Related Article: Ming Liu, Yan Xiong, Weixiu Xu, Yong Wang|2023|New J.Chem.|47|6796|doi:10.1039/D3NJ00049D
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.cc2dyvv2
title: CCDC 2233235: Experimental Crystal Structure Determination

description: Related Article: Ming Liu, Yan Xiong, Weixiu Xu, Yong Wang|2023|New J.Chem.|47|6796|doi:10.1039/D3NJ00049D
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: 10.5519/qd.z9fd68zc
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (137480 records)
DOI: 10.5519/qd.kuoj911a
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (137480 records)
DOI: 10.5519/qd.a4lfeoqt
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (137480 records)
DOI: 10.6084/m9.figshare.22533610
title: Supplementary tables of the structural connectivity statistical analysis results in the Portete Bay seascape

description: Results of statistical tests to compare structural connectivity indices in each ecosystem (seagrasses, mangroves and reefs) and between bay zones (south, central and north) at Portete Kaurrele Bay MPA.
DOI: 10.6084/m9.figshare.22533610.v1
title: Supplementary tables of the structural connectivity statistical analysis results in the Portete Bay seascape

description: Results of statistical tests to compare structural connectivity indices in each ecosystem (seagrasses, mangroves and reefs) and between bay zones (south, central and north) at Portete Kaurrele Bay MPA.
DOI: 10.5281/zenodo.7603429
title: The shrinking Great Salt Lake contributes to record high dust-on-snow deposition in the Wasatch Mountains during the 2022 snowmelt season

description: This site contains inputs/outputs used for atmospheric backward trajectory analyses (.zip files) and snowmelt mass and energy balance modeling (all other files) in this study. The abstract of the study is below: Seasonal snowmelt from the Wasatch Mountains of northern Utah, USA is a primary control on water availability for the metropolitan Wasatch Front, surrounding agricultural valleys, and the Great Salt Lake (GSL). Prolonged drought, increased evaporation due to warming temperatures, and sustained agricultural and domestic water consumption have caused GSL water levels to reach record low stands in 2021 and 2022, resulting in increased exposure of dry lakebed sediment. When dust emitted from the GSL dry lakebed is deposited on the adjacent Wasatch snowpack, the snow is darkened, and snowmelt is accelerated. Regular observations of dust-on-snow (DOS) began in the Wasatch Mountains in 2009, and the 2022 season was notable for both having the most dust deposition events and the highest snowpack dust concentrations. To understand if record high DOS concentrations were linked to record low GSL levels, dust source regions for each dust event were identified through a backward trajectory model analysis combined with aerosol measurements and field observations. Backward trajectories indicated that the exposed lakebed of the GSL likely contributed 23% of total dust deposition and had the highest dust emissions per surface area. The other potential primary contributors were the Great Salt Lake Desert (45%) and the Sevier + Tule dry lakebeds (17%), both with lower per-area emissions. The impact on snowmelt, quantified by mass and energy balance modeling in the presence and absence of snow darkening by dust, was over two weeks (17 days) earlier. The impact of dust on snowmelt could have been more dramatic if the spring had been drier, but frequent snowfall buried dust layers, delaying dust-accelerated snowmelt later into the melt season.
DOI: 10.5281/zenodo.7603430
title: The shrinking Great Salt Lake contributes to record high dust-on-snow deposition in the Wasatch Mountains

description: Seasonal snowmelt from the Wasatch Mountains of northern Utah is a primary control on water availability for the metropolitan Wasatch Front, surrounding agricultural valleys, and the Great Salt Lake (GSL). Prolonged drought, increased evaporation from warming temperatures, and sustained agricultural and domestic water consumption has led to record-setting declines in GSL levels and increased exposure of dry lakebed sediment. When dust emitted from the GSL dry lakebed is deposited on the adjacent Wasatch snowpack, the snow is darkened, and snowmelt is accelerated. Regular observations of dust-on-snow (DOS) began in the Wasatch in 2009, and the 2022 season was notable for both having the most dust deposition events and most dust deposited. To understand if record high DOS concentrations were linked to record low GSL levels, dust source regions for each dust event were identified through backward trajectory model analysis combined with aerosol measurements and field observations. Modeling indicated that the exposed lakebed of the GSL contributed 23% of total dust deposition and had the highest dust emissions per surface area. The other primary contributors were the Great Salt Lake Desert (45%) and the Sevier + Tule dry lakebeds (17%), with dust lower intensity emissions over larger areas. The impact on snowmelt, quantified by simulating melting in the presence and absence of snow darkening by dust, was over two weeks (17 days) earlier. This impact could have been more dramatic if the spring had been drier, but frequent snowfall buried dust layers and delayed the timing of snow darkening until late in the melt season.
DOI: 10.5281/zenodo.7796458
title: The shrinking Great Salt Lake contributes to record high dust-on-snow deposition in the Wasatch Mountains during the 2022 snowmelt season

description: This site contains inputs/outputs used for atmospheric backward trajectory analyses (.zip files) and snowmelt mass and energy balance modeling (all other files) in this study. The abstract of the study is below: Seasonal snowmelt from the Wasatch Mountains of northern Utah, USA is a primary control on water availability for the metropolitan Wasatch Front, surrounding agricultural valleys, and the Great Salt Lake (GSL). Prolonged drought, increased evaporation due to warming temperatures, and sustained agricultural and domestic water consumption have caused GSL water levels to reach record low stands in 2021 and 2022, resulting in increased exposure of dry lakebed sediment. When dust emitted from the GSL dry lakebed is deposited on the adjacent Wasatch snowpack, the snow is darkened, and snowmelt is accelerated. Regular observations of dust-on-snow (DOS) began in the Wasatch Mountains in 2009, and the 2022 season was notable for both having the most dust deposition events and the highest snowpack dust concentrations. To understand if record high DOS concentrations were linked to record low GSL levels, dust source regions for each dust event were identified through a backward trajectory model analysis combined with aerosol measurements and field observations. Backward trajectories indicated that the exposed lakebed of the GSL likely contributed 23% of total dust deposition and had the highest dust emissions per surface area. The other potential primary contributors were the Great Salt Lake Desert (45%) and the Sevier + Tule dry lakebeds (17%), both with lower per-area emissions. The impact on snowmelt, quantified by mass and energy balance modeling in the presence and absence of snow darkening by dust, was over two weeks (17 days) earlier. The impact of dust on snowmelt could have been more dramatic if the spring had been drier, but frequent snowfall buried dust layers, delaying dust-accelerated snowmelt later into the melt season.
DOI: 10.5281/zenodo.7796477
title: The shrinking Great Salt Lake contributes to record high dust-on-snow deposition in the Wasatch Mountains during the 2022 snowmelt season

description: This site contains inputs/outputs used for atmospheric backward trajectory analyses (.zip files) and snowmelt mass and energy balance modeling (all other files) in this study. The abstract of the study is below: Seasonal snowmelt from the Wasatch Mountains of northern Utah, USA is a primary control on water availability for the metropolitan Wasatch Front, surrounding agricultural valleys, and the Great Salt Lake (GSL). Prolonged drought, increased evaporation due to warming temperatures, and sustained agricultural and domestic water consumption have caused GSL water levels to reach record low stands in 2021 and 2022, resulting in increased exposure of dry lakebed sediment. When dust emitted from the GSL dry lakebed is deposited on the adjacent Wasatch snowpack, the snow is darkened, and snowmelt is accelerated. Regular observations of dust-on-snow (DOS) began in the Wasatch Mountains in 2009, and the 2022 season was notable for both having the most dust deposition events and the highest snowpack dust concentrations. To understand if record high DOS concentrations were linked to record low GSL levels, dust source regions for each dust event were identified through a backward trajectory model analysis combined with aerosol measurements and field observations. Backward trajectories indicated that the exposed lakebed of the GSL likely contributed 23% of total dust deposition and had the highest dust emissions per surface area. The other potential primary contributors were the Great Salt Lake Desert (45%) and the Sevier + Tule dry lakebeds (17%), both with lower per-area emissions. The impact on snowmelt, quantified by mass and energy balance modeling in the presence and absence of snow darkening by dust, was over two weeks (17 days) earlier. The impact of dust on snowmelt could have been more dramatic if the spring had been drier, but frequent snowfall buried dust layers, delaying dust-accelerated snowmelt later into the melt season.
DOI: 10.6084/m9.figshare.22525099.v2
title: Figures

description: Data and code to recreate main figures in Identifying Properties of Pattern Completion Neurons in a Computational Model of the Visual Cortex
DOI: 10.6084/m9.figshare.22525099.v3
title: Main Figures

description: Data and code to recreate main figures in Identifying Properties of Pattern Completion Neurons in a Computational Model of the Visual Cortex