cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc26q1xx
title: CCDC 2046989: Experimental Crystal Structure Determination

description: Related Article: Ding Xu, Wei-Gang Lou, Jia Xu, Shan Pan|2021|J.Mol.Struct.|1242|130726|doi:10.1016/j.molstruc.2021.130726
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.cc26q1yy
title: CCDC 2046990: Experimental Crystal Structure Determination

description: Related Article: Ding Xu, Wei-Gang Lou, Jia Xu, Shan Pan|2021|J.Mol.Struct.|1242|130726|doi:10.1016/j.molstruc.2021.130726
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.cc270wtz
title: CCDC 2056441: Experimental Crystal Structure Determination

description: Related Article: Qian Xu,  Yan-Lai Xiao,  Xiao-Qing Su,  Xiao-Bo Zhang,  Zhuo-Jun Deng|2021|J.Coord.Chem.|74|1663|doi:10.1080/00958972.2021.1918338
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.cc27n165
title: CCDC 2074836: Experimental Crystal Structure Determination

description: Related Article: Xin-Lu Liu, Wan-Qin Gao, Yun-Ping Wu|2022|J.Mol.Struct.|1247|131328|doi:10.1016/j.molstruc.2021.131328
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.cc27qr3v
title: CCDC 2077437: Experimental Crystal Structure Determination

description: Related Article: Juan Yang, Wei Song, Guoping Xiong, Ting Shen|2021|J.Mol.Struct.|1244|130849|doi:10.1016/j.molstruc.2021.130849
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.cc27qr4w
title: CCDC 2077438: Experimental Crystal Structure Determination

description: Related Article: Juan Yang, Wei Song, Guoping Xiong, Ting Shen|2021|J.Mol.Struct.|1244|130849|doi:10.1016/j.molstruc.2021.130849
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.cc27tgyh
title: CCDC 2080067: Experimental Crystal Structure Determination

description: Related Article: Hang-Wei Wen, Huan Xia, Yin Yu, Xiaoyu He, Jiang Wang|2021|J.Mol.Struct.|1244|130984|doi:10.1016/j.molstruc.2021.130984
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.cc27tgzj
title: CCDC 2080068: Experimental Crystal Structure Determination

description: Related Article: Hang-Wei Wen, Huan Xia, Yin Yu, Xiaoyu He, Jiang Wang|2021|J.Mol.Struct.|1244|130984|doi:10.1016/j.molstruc.2021.130984
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.cc278vv7
title: CCDC 2064099: Experimental Crystal Structure Determination

description: Related Article: Yuzhen Zhou, Huixian Chen, Xiaofeng Gu, Xiaoyan Bian|2022|J.Mol.Struct.|1254|132324|doi:10.1016/j.molstruc.2021.132324
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: 10.5287/ora-pvadm5me0
title: SHV_01_map1_Oxford_Mat

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.5287/ora-8r5gnqbn9
title: SHV_01_Oxford_ES

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.6084/m9.figshare.24293518
title: <b>The plasma membrane contributes to </b><b>temperature-induced spermatozoa motility parameters in short-term stored sperm of common carp (</b><b><i>Cyprinus carpio</i></b><b>)</b>

description: Figure S1: A schematic showing experimental design of the present study.Video S1: Sperm motility and flagellum beating of demembranated aged sperm were recorded with a microscope and adaptor set at 25 fps post 16 s activation at an incubation and activation temperature of 20 ℃. Aged sperm was demembranated by a medium (45 mM NaCl, 5 mM KCl, 30 mM Tris pH 8, 1 mM EGTA, 1 mM MgCl<sub>2</sub>, 0.02% Triton X-100, 2 mg/mL BSA, 50 µL) and activated with 1.25 mM ATP (10 µL, vanadate free).Upload data: The uploaded data corresponds to all figures.
DOI: 10.6084/m9.figshare.24293518.v1
title: <b>The plasma membrane contributes to </b><b>temperature-induced spermatozoa motility parameters in short-term stored sperm of common carp (</b><b><i>Cyprinus carpio</i></b><b>)</b>

description: Figure S1: A schematic showing experimental design of the present study.Video S1: Sperm motility and flagellum beating of demembranated aged sperm were recorded with a microscope and adaptor set at 25 fps post 16 s activation at an incubation and activation temperature of 20 ℃. Aged sperm was demembranated by a medium (45 mM NaCl, 5 mM KCl, 30 mM Tris pH 8, 1 mM EGTA, 1 mM MgCl<sub>2</sub>, 0.02% Triton X-100, 2 mg/mL BSA, 50 µL) and activated with 1.25 mM ATP (10 µL, vanadate free).Upload data: The uploaded data corresponds to all figures.
DOI: 10.5287/ora-2anmaaj2e
title: SHV_02_map 2_Leeds

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.5287/ora-b7bzqkvgo
title: SHV_02_map_1_Leeds

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.5517/ccdc.csd.cc278vw8
title: CCDC 2064100: Experimental Crystal Structure Determination

description: Related Article: Yuzhen Zhou, Huixian Chen, Xiaofeng Gu, Xiaoyan Bian|2022|J.Mol.Struct.|1254|132324|doi:10.1016/j.molstruc.2021.132324
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.cc287f65
title: CCDC 2092506: Experimental Crystal Structure Determination

description: Related Article: Zhiyuan Feng, Lin Cheng, Hong Fan, Jia Liu, Fusheng Han|2021|J.Mol.Struct.|1250|131794|doi:10.1016/j.molstruc.2021.131794
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.cc287f76
title: CCDC 2092507: Experimental Crystal Structure Determination

description: Related Article: Zhiyuan Feng, Lin Cheng, Hong Fan, Jia Liu, Fusheng Han|2021|J.Mol.Struct.|1250|131794|doi:10.1016/j.molstruc.2021.131794
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.cc28x56l
title: CCDC 2112439: Experimental Crystal Structure Determination

description: Related Article: Li Zhao, Rong Bian, Hao Chen|2022|J.Mol.Struct.|1254|132411|doi:10.1016/j.molstruc.2022.132411
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.cc28x57m
title: CCDC 2112440: Experimental Crystal Structure Determination

description: Related Article: Li Zhao, Rong Bian, Hao Chen|2022|J.Mol.Struct.|1254|132411|doi:10.1016/j.molstruc.2022.132411
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.cc28zld8
title: CCDC 2114770: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yi Gu, Ri-Lan Bai, Jiu-Wei Cui|2022|J.Mol.Struct.|1256|132484|doi:10.1016/j.molstruc.2022.132484
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.cc28zlf9
title: CCDC 2114771: Experimental Crystal Structure Determination

description: Related Article: Xiao-Yi Gu, Ri-Lan Bai, Jiu-Wei Cui|2022|J.Mol.Struct.|1256|132484|doi:10.1016/j.molstruc.2022.132484
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: 10.5287/ora-r5kpeo084
title: SHV_02_map_1_Oxford_Mat

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.34740/kaggle/dsv/6670587
title: Global Crypto Currency Price Database
DOI: 10.5519/qd.6cgm2ax0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (119 records)
DOI: 10.5287/ora-go4zeypko
title: SHV_02_map_2_Oxford_Mat

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.5287/ora-qzpvxagnz
title: SHV_02_map_3_Oxford_Mat

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.5287/ora-b7mpvo2mb
title: SHV_04_map_1_Oxford_mat

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.6073/pasta/963467c3263e286f049c4a9449446279
title: Aeolian dust weights sampled by BSNE collectors quarterly from the CSIS study at Jornada Basin LTER, 2012-ongoing

description: This dataset contains weights of windblown dust collected by BSNE collectors at long-term observation plots that are part of the Jornada Basin LTER Cross-Scale Interaction Study (CSIS) located at the Jornada Experimental Range. There are 15 experimental blocks (or sites) in this study. Within each block, there are 4 plots with different experimental treatments: 1 control, 1 with mesquite herbicide applied, 1 with connectivity modifiers (Conmods) installed, and 1 with Conmods AND mesquite herbicide applied. The intent of Conmods is to decrease gap size between perennial vegetation. The plots are 8 x 8 meters and have an 8 x 8 meter buffer zone on both the upwind and downwind sides of the plot. There are two BSNE (aeolian dust collector) stands per experimental plot positioned at the edge of the upwind and downwind 8m x 8m buffers. Each stand has 3 collectors positioned at heights of 10 cm, 30 cm, and 50 cm, and all collector openings face the prevailing wind direction. Upwind BSNEs collected the amount of dust entering the plot, and the downwind BSNEs collected the amount of dust moving off the plot. These collectors estimate the effectiveness of the plot surface in obstructing wind blown dust. This study is ongoing with data collected quarterly each year.
DOI: 10.5287/ora-9o8bwznvv
title: SHV_04_map_2_Oxford_mat

description: Raw EBSD data collected from Soufriere Hills experimentally deformed pumice sample. Compatible with MTEX software.
DOI: 10.5281/zenodo.8429576
title: Simulation results for "The transcriptional legacy of developmental stochasticity"

description: Output from https://github.com/sarbal/ayotochtli
DOI: 10.5281/zenodo.8429575
title: Simulation results for "The transcriptional legacy of developmental stochasticity"

description: Output from https://github.com/sarbal/ayotochtli
DOI: 10.5281/zenodo.8433069
title: Transcriptome-derived SNP markers for population assignment of sandfish, Holothuria (Metriatyla) scabra

description: The genotype data used for the assignment analyses provided as a GenePop file (.gen)
DOI: 10.5281/zenodo.8433068
title: Transcriptome-derived SNP markers for population assignment of sandfish, Holothuria (Metriatyla) scabra

description: The genotype data used for the assignment analyses provided as a GenePop file (.gen)
DOI: 10.5281/zenodo.8433077
title: Multi-subject simulated scRNA-seq trajectory data

description: - Simulated scRNA-seq counts with a trajectory structure - Simulation was performed using the scaffold R package - Based on pancreas reference dataset from Baron et al (2017) - Data are comprised of 3 subjects with 400 cells apiece for a total of 1200 cells - Counts have been processed using a SingleCellExperiment-based workflow (normalization, dimension reduction, clustering) - Ground-truth pseudotime for each cell is stored in the colData slot in the variable <strong>cell_time_normed</strong>
description: {"references": ["https://academic.oup.com/nar/article/50/2/e12/6438026", "https://doi.org/10.1016/j.cels.2016.08.011"]}
DOI: 10.5281/zenodo.8433076
title: Multi-subject simulated scRNA-seq trajectory data

description: - Simulated scRNA-seq counts with a trajectory structure - Simulation was performed using the scaffold R package - Based on pancreas reference dataset from Baron et al (2017) - Data are comprised of 3 subjects with 400 cells apiece for a total of 1200 cells - Counts have been processed using a SingleCellExperiment-based workflow (normalization, dimension reduction, clustering) - Ground-truth pseudotime for each cell is stored in the colData slot in the variable <strong>cell_time_normed</strong>
description: {"references": ["https://academic.oup.com/nar/article/50/2/e12/6438026", "https://doi.org/10.1016/j.cels.2016.08.011"]}
DOI: 10.26188/24295243
title: Thesis Data Repository

description: Availability of data, code, and plot creation for various figures throughout my PhD thesis. Rough organisation currently. Pertains to Figures 5.4, 5.8, 6.11, 6.18, 7.3, 7.12, and Table 6.1.
DOI: 10.26188/24295243.v1
title: Thesis Data Repository

description: Availability of data, code, and plot creation for various figures throughout my PhD thesis. Rough organisation currently. Pertains to Figures 5.4, 5.8, 6.11, 6.18, 7.3, 7.12, and Table 6.1.
DOI: 10.6084/m9.figshare.24295251
title: Nondestructive prediction of physicochemical properties of kimchi sauce with artificial and convolutional neural networks

description: This study presents a comparison of prediction performances by an artificial neural network (ANN), well-known deep convolutional neural network (D-CNN) models, and four proposed shallow convolutional neural network (S-CNN) models to forecast three key physicochemical properties (PCPs): salinity, °Brix, and moisture content of kimchi sauce (KS). The S-CNN models effectively minimized underfitting issues found in D-CNN models, predicting PCPs with a low error rate even with small image datasets. Furthermore, the ANN model using color values also allowed for competitive predictions. We used two nondestructive prediction strategies: (i) using color values with ANNs for immediate application in small-scale enterprises and (ii) using photographs as input for S-CNN models, allowing for faster and more accurate quality prediction. These results highlight the potential for image-based quality prediction in food science, possibly enhancing the efficiency and accuracy of real-time quality control. Future enhancements could incorporate additional data sources for improved predictive performance.
DOI: 10.6084/m9.figshare.24295251.v1
title: Nondestructive prediction of physicochemical properties of kimchi sauce with artificial and convolutional neural networks

description: This study presents a comparison of prediction performances by an artificial neural network (ANN), well-known deep convolutional neural network (D-CNN) models, and four proposed shallow convolutional neural network (S-CNN) models to forecast three key physicochemical properties (PCPs): salinity, °Brix, and moisture content of kimchi sauce (KS). The S-CNN models effectively minimized underfitting issues found in D-CNN models, predicting PCPs with a low error rate even with small image datasets. Furthermore, the ANN model using color values also allowed for competitive predictions. We used two nondestructive prediction strategies: (i) using color values with ANNs for immediate application in small-scale enterprises and (ii) using photographs as input for S-CNN models, allowing for faster and more accurate quality prediction. These results highlight the potential for image-based quality prediction in food science, possibly enhancing the efficiency and accuracy of real-time quality control. Future enhancements could incorporate additional data sources for improved predictive performance.
DOI: 10.17592/001.2023050101
title: Ecosystem structure data sets of an open canopy black spruce forest in Interior Alaska for ecosystem modeling

description: Recent warming trends in the Arctic and boreal regions overwhelm the global average and this trend is likely to continue in the future. The detailed and well-described forest ecosystem structures including understory plant communities are necessary to test and evaluate the current ecosystem models. In this data paper, we presented a synthesis data set of the above-ground forest structural characteristics. Field campaigns were conducted from 2010 to 2018 in the Poker Flat Research Range of the Geophysical Institute, University of Alaska, Fairbanks located outskirts of the city of Fairbanks, AK, USA. The forest is a sparse evergreen needle-leaf forest (see section 2). The field campaigns include (1) tree census surveys in the years 2010 and 2014, (2) direct measurement of tree above-ground biomass profile in the year 2012, (3) tree leaf area index (LAI) measurements by the non-destructive method in the year 2018, and (4) biomass and LAI survey of forest floor vegetation by the direct sampling method in the year 2018. The ecosystem structure data sets described in this paper are useful for the development, improvement, and validation of the ecosystem and land surface models. The data are also useful to understand the relationship between greenhouse gas fluxes and the ecosystem structure and functioning.
DOI: 10.5281/zenodo.8433085
title: Edición 78 Revista Varona

description: Artículos publicados en la edición 78 de la Revista Varona, pertenecientes al período septiembre-diciembre del año 2023.
DOI: 10.5281/zenodo.8433084
title: Edición 78 Revista Varona

description: Artículos publicados en la edición 78 de la Revista Varona, pertenecientes al período septiembre-diciembre del año 2023.
DOI: 10.6084/m9.figshare.24295255
title: Dung burial data by dung beetles over twelve months across three dung types

description: The research investigated the impact of different pasture species on cattle dung burial by the New England Tablelands dung beetle community. The research was based out of Armidale, NSW, Australia, with the university of New England. This is part of a PhD thesis.
DOI: 10.6084/m9.figshare.24295255.v1
title: Dung burial data by dung beetles over twelve months across three dung types

description: The research investigated the impact of different pasture species on cattle dung burial by the New England Tablelands dung beetle community. The research was based out of Armidale, NSW, Australia, with the university of New England. This is part of a PhD thesis.
DOI: 10.5281/zenodo.8433087
title: FEW-meter project data archive_31_12_2020

description: Data collected in the FEW-meter project for the growing season 2020 from all case studies. The state as of December 31, 2020.
DOI: 10.5281/zenodo.8433086
title: FEW-meter project data archive_31_12_2020

description: Data collected in the FEW-meter project for the growing season 2020 from all case studies. The state as of December 31, 2020.