cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.4309929
title: 3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 20 August 2018 at 16:56 UTC

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 20 August 2018. The UAV survey commenced at 16:56 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_814-817 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.5281/zenodo.4309655
title: Phylogenomic analysis reveals convergent evolution of shrubby Clematis species

description: <em>Clematis </em>of the buttercup family is one of the most popular garden flowers in the world, being crowned as the “Queen of Climbers.” It is well known for its climbing habit, but it also has shrubby members with poorly known evolutionary origins. The relationships among the major <em>Clematis </em>groups still remain controversial. In this study, we assembled the complete plastome and nrDNA sequences of 56 <em>Clematis </em>species representing most of the sections, and reconstructed the phylogenetic framework using both datasets. Our sampling covered all species of the shrubby <em>C</em>. sect. <em>Fruticella s. str.</em> and the taxonomically controversial species allied to the section to test the monophyly of section <em>Fruticella </em>and trace the evolution of habits in the genus. Using both likelihood and Bayesian methods, the two datasets of DNA sequences generated similar, but not identical, phylogenetic relationships. The complete plastome sequences delivered a better resolved phylogeny, supporting five well-resolved major clades for all sampled species, except for a first-diverged African species. Many of the morphological characters widely used for taxonomy were shown to represent parallel or convergent evolution. Molecular dating inferred that all major <em>Clematis </em>clades radiated during the early Pliocene, with a species radiation during the Quaternary. The erect, shrubby habits of <em>Clematis </em>were inferred to have evolved multiple times in eastern Asia. <em>Clematis</em> sect. <em>Meclatis</em> is likely sister to <em>C</em>. sect.<em> Fruticella</em>, and the latter diversified during the late Quaternary. The cold, dry Quaternary climate was hypothesized to have facilitated species diversification and dispersal of <em>C</em>. sect. <em>Fruticella.</em>
DOI: 10.5281/zenodo.4309654
title: Phylogenomic analysis reveals convergent evolution of shrubby Clematis species

description: <em>Clematis </em>of the buttercup family is one of the most popular garden flowers in the world, being crowned as the “Queen of Climbers.” It is well known for its climbing habit, but it also has shrubby members with poorly known evolutionary origins. The relationships among the major <em>Clematis </em>groups still remain controversial. In this study, we assembled the complete plastome and nrDNA sequences of 56 <em>Clematis </em>species representing most of the sections, and reconstructed the phylogenetic framework using both datasets. Our sampling covered all species of the shrubby <em>C</em>. sect. <em>Fruticella s. str.</em> and the taxonomically controversial species allied to the section to test the monophyly of section <em>Fruticella </em>and trace the evolution of habits in the genus. Using both likelihood and Bayesian methods, the two datasets of DNA sequences generated similar, but not identical, phylogenetic relationships. The complete plastome sequences delivered a better resolved phylogeny, supporting five well-resolved major clades for all sampled species, except for a first-diverged African species. Many of the morphological characters widely used for taxonomy were shown to represent parallel or convergent evolution. Molecular dating inferred that all major <em>Clematis </em>clades radiated during the early Pliocene, with a species radiation during the Quaternary. The erect, shrubby habits of <em>Clematis </em>were inferred to have evolved multiple times in eastern Asia. <em>Clematis</em> sect. <em>Meclatis</em> is likely sister to <em>C</em>. sect.<em> Fruticella</em>, and the latter diversified during the late Quaternary. The cold, dry Quaternary climate was hypothesized to have facilitated species diversification and dispersal of <em>C</em>. sect. <em>Fruticella.</em>
DOI: 10.5286/isis.e.rb2010640-2
title: Metal Ions in Choline Chloride: Urea: Glycerol Ternary Deep Eutectic Solvents

description: Deep eutectic solvents (DES) are novel liquids composed of inexpensive components, and are non-flammable, with a low volatility. We wish to use the ternary choline chloride:urea:glycerol DES for the surfactant templated synthesis of metal oxide nanoparticles. Our previous experiments have shown that the successful synthesis and isolation of iron oxide nanoparticles is highly dependent on the urea:glycerol ratio within the DES, with a higher urea content being favourable. This suggests a difference in the speciation and interaction of the iron precursor with the DES, varying with the urea:glycerol content. Here, we aim to study these interactions further using neutron diffraction techniques and determine the effect of the urea:glycerol ratio on the metal ion-DES interactions. This understanding will be crucial in designing appropriate systems for templated metal oxide synthesis.
DOI: 10.34740/kaggle/dsv/1721570
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.21227/z14e-b165
title: LowEndInsight-PyPI

description: The Python Packaging Index is an invaluable resource that is used by developers to improve their projects; however, there are glaring issues in its implementation that will hinder development until resolved. The Python Packaging Index (PyPI) is the official third-party software repository for Python where the majority of open-source Python packages are published. Each package has wheel and egg files accessible from the Python package management system PIP, as well as queryable metadata that contains important package information. The PyPI metadata provides key information such as package license, source code, and dependencies which are necessary for developers working with a given open-source package to ascertain its security and legal risks; however since PyPI currently does not support an effective means of tracking some of this information, it forces a developer to cope with uncertain risk if they wish to use open-source code. In its current state, Python open-source code facilitates project development at the risk of unknown vulnerabilities; however, developers should not be sacrificing efficiency for security. This dataset provides some insight into the PyPI ecosystem, using the LowEndInsight analyzer to process all packages, traverse from module to source code, and then identify potential risks. The dataset is the result of upstream HPC processing against the PyPI generated raw data.
DOI: 10.13140/rg.2.2.30261.09447
title: Survey system for an academic week, 2011
DOI: 10.5281/zenodo.4309942
title: 3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 21 August 2018 at 17:09 UTC

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 21 August 2018. The UAV survey commenced at 17:09 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_417-419 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.5281/zenodo.4309941
title: 3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 21 August 2018 at 17:09 UTC

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 21 August 2018. The UAV survey commenced at 17:09 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_417-419 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.25380/iastate.12762011
title: Long Term Cover Cropping Effects on Weed Seedbanks

description: We utilized four long-term (10+ years) research trials in Iowa to quantify germinable weed seedbank densities and compositions in maize (Zea mays L.)-soybean (Glycine max (L.) Merr.) rotations managed with and without the inclusion of a winter rye (Secale cereal L.) cover crop. This dataset includes the raw seedling counts, cover crop biomass productions at each trial, trial descriptions, and weed descriptions.
DOI: 10.25380/iastate.12762011.v1
title: Long Term Cover Cropping Effects on Weed Seedbanks

description: We utilized four long-term (10+ years) research trials in Iowa to quantify germinable weed seedbank densities and compositions in maize (Zea mays L.)-soybean (Glycine max (L.) Merr.) rotations managed with and without the inclusion of a winter rye (Secale cereal L.) cover crop. This dataset includes the raw seedling counts, cover crop biomass productions at each trial, trial descriptions, and weed descriptions.
DOI: 10.15468/ycznwm
title: Description of a new Neotropical spider genus in the family Ctenidae Keyserling 1877 (Araneae: Lycosoidea) from the Brazilian Amazon rainforest

description: This dataset contains the digitized treatments in Plazi based on the original journal article Pereira, Maria Paula, Labarque, Facundo, Polotow, Daniele (2020): Description of a new Neotropical spider genus in the family Ctenidae Keyserling 1877 (Araneae: Lycosoidea) from the Brazilian Amazon rainforest. Zootaxa 4890 (3): 375-396, DOI: https://doi.org/10.11646/zootaxa.4890.3.5
DOI: 10.5281/zenodo.4309956
title: 3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 21 August 2018 at 21:31 UTC

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 21 August 2018. The UAV survey commenced at 21:31 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_767-773 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.5281/zenodo.4309955
title: 3D mesh model and raw images of a drifting iceberg in Dickson Fjord (NE Greenland) on 21 August 2018 at 21:31 UTC

description: This dataset consists of low-altitude aerial imagery that was acquired by a DJI Phantom 3 Standard unoccupied aerial vehicle (UAV) in Dickson Fjord in northeast Greenland on 21 August 2018. The UAV survey commenced at 21:31 UTC. These images were processed in Agisoft PhotoScan Pro (v1.4; Linux Ubuntu). During the image alignment step in PhotoScan, the ‘High’ accuracy setting and key point and tie point limits of 60000 and 0 were used. Generic and reference preselection were disabled. Gradual selection was used to remove tie points that exceeded thresholds for the projection accuracy, reconstruction uncertainty, and reprojection error and the lens parameters were computed. Reference data from images DJI_767-773 were used to scale the sparse point cloud. The dense point cloud was then computed using the ‘High’ setting, followed by the textured mesh. The mesh model was exported in .obj and .pdf formats. A complete file list is provided in the README file that accompanies this dataset. This dataset is discussed in: Carlson et al. Quantifying iceberg deterioration using UAV imagery and Structure from Motion photogrammetry software. Submitted to <em>Remote Sensing.</em>
DOI: 10.25346/s6/vtfxsx
title: Replication Data for: An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks

description: Data for the paper, "An automated pipeline for the discovery of conspiracy and conspiracy theory narrative frameworks: Bridgegate, Pizzagate and storytelling on the web." The data consists of comments and posts to discussion forums related to the Pizzagate conspiracy theory, and to news articles related to the Bridgegate conspiracy. Data was cleaned for spam, photographs, extraneous records, and filtered to remove junk characters and other unrelated to topic. Metadata was retained for external verification purposes only. Please see accompanying article for preprocessing and data analysis methodologies. All of our data are from publicly available sources, and conform to the Terms of Services of their source sites.
DOI: 10.15468/vtwawd
title: First partial mitogenome of a new Seira Lubbock species (Collembola, Entomobryidae, Seirinae) from Cambodia reveals a possible separate lineage from the Neotropical Seirinae

description: This dataset contains the digitized treatments in Plazi based on the original journal article Godeiro, Nerivania Nunes, Zhang, Feng, Cipola, Nikolas Gioia (2020): First partial mitogenome of a new Seira Lubbock species (Collembola, Entomobryidae, Seirinae) from Cambodia reveals a possible separate lineage from the Neotropical Seirinae. Zootaxa 4890 (4): 451-472, DOI: https://doi.org/10.11646/zootaxa.4890.4.1
DOI: 10.15468/7zzkz5
title: A new species of the subgenus Idopterum Hampson, 1894 of the genus Ammatho Walker, 1855 from China (Lepidoptera: Erebidae: Arctiinae: Lithosiini), with redefinition of the subgenus Idopterum

description: This dataset contains the digitized treatments in Plazi based on the original journal article Huang, Si-Yao, Volynkin, Anton V., Wang, Min, Fan, Xiao-Ling (2020): A new species of the subgenus Idopterum Hampson, 1894 of the genus Ammatho Walker, 1855 from China (Lepidoptera: Erebidae: Arctiinae: Lithosiini), with redefinition of the subgenus Idopterum. Zootaxa 4885 (2): 271-276, DOI: https://doi.org/10.11646/zootaxa.4885.2.9
DOI: 10.5517/ccdc.csd.cc232mxr
title: CCDC 1938954: Experimental Crystal Structure Determination

description: Related Article: Xing Jiang,  Hai-Bao Duan,  Marcus J. Jellen,  Yu Chen,  Tim S. Chung,  Yong Liang,  Miguel A. Garcia-Garibay|2019|J.Am.Chem.Soc.|141|16802|doi:10.1021/jacs.9b07518
DOI: 10.5517/ccdc.csd.cc232mys
title: CCDC 1938955: Experimental Crystal Structure Determination

description: Related Article: Xing Jiang,  Hai-Bao Duan,  Marcus J. Jellen,  Yu Chen,  Tim S. Chung,  Yong Liang,  Miguel A. Garcia-Garibay|2019|J.Am.Chem.Soc.|141|16802|doi:10.1021/jacs.9b07518
DOI: 10.5517/ccdc.csd.cc232mzt
title: CCDC 1938956: Experimental Crystal Structure Determination

description: Related Article: Xing Jiang,  Hai-Bao Duan,  Marcus J. Jellen,  Yu Chen,  Tim S. Chung,  Yong Liang,  Miguel A. Garcia-Garibay|2019|J.Am.Chem.Soc.|141|16802|doi:10.1021/jacs.9b07518
DOI: 10.5517/ccdc.csd.cc232n0w
title: CCDC 1938957: Experimental Crystal Structure Determination

description: Related Article: Xing Jiang,  Hai-Bao Duan,  Marcus J. Jellen,  Yu Chen,  Tim S. Chung,  Yong Liang,  Miguel A. Garcia-Garibay|2019|J.Am.Chem.Soc.|141|16802|doi:10.1021/jacs.9b07518
DOI: 10.5517/ccdc.csd.cc23htk0
title: CCDC 1951622: Experimental Crystal Structure Determination

description: Related Article: Akhila Kumar Sahoo, Rajeshwer Vanjari, Shubham Dutta, B. Prabagar, Vincent Gandon|2019|Chem.Asian J.|14|4828|doi:10.1002/asia.201901251
DOI: 10.5517/ccdc.csd.cc23pm7p
title: CCDC 1957192: Experimental Crystal Structure Determination

description: Related Article: Fabian Fischer, Tobias Pientka, Haijun Jiao, Anke Spannenberg, Marko Hapke|2020|Cat.Sci.Tech.|10|8005|doi:10.1039/D0CY00876A
DOI: 10.5517/ccdc.csd.cc23pm8q
title: CCDC 1957193: Experimental Crystal Structure Determination

description: Related Article: Fabian Fischer, Tobias Pientka, Haijun Jiao, Anke Spannenberg, Marko Hapke|2020|Cat.Sci.Tech.|10|8005|doi:10.1039/D0CY00876A
DOI: 10.5517/ccdc.csd.cc23pm9r
title: CCDC 1957194: Experimental Crystal Structure Determination

description: Related Article: Fabian Fischer, Tobias Pientka, Haijun Jiao, Anke Spannenberg, Marko Hapke|2020|Cat.Sci.Tech.|10|8005|doi:10.1039/D0CY00876A
DOI: 10.5517/ccdc.csd.cc23pmbs
title: CCDC 1957195: Experimental Crystal Structure Determination

description: Related Article: Fabian Fischer, Tobias Pientka, Haijun Jiao, Anke Spannenberg, Marko Hapke|2020|Cat.Sci.Tech.|10|8005|doi:10.1039/D0CY00876A
DOI: 10.5517/ccdc.csd.cc23pmct
title: CCDC 1957196: Experimental Crystal Structure Determination

description: Related Article: Fabian Fischer, Tobias Pientka, Haijun Jiao, Anke Spannenberg, Marko Hapke|2020|Cat.Sci.Tech.|10|8005|doi:10.1039/D0CY00876A
DOI: 10.5517/ccdc.csd.cc23pmdv
title: CCDC 1957197: Experimental Crystal Structure Determination

description: Related Article: Fabian Fischer, Tobias Pientka, Haijun Jiao, Anke Spannenberg, Marko Hapke|2020|Cat.Sci.Tech.|10|8005|doi:10.1039/D0CY00876A
DOI: 10.5517/ccdc.csd.cc23xppf
title: CCDC 1963995: Experimental Crystal Structure Determination

description: Related Article: Congyuan Wei, Zhonghai Tang, Weifeng Zhang, Jianyao Huang, Yankai Zhou, Liping Wang, Gui Yu|2020|Polym.Chem.|11|7340|doi:10.1039/D0PY01399D
DOI: 10.5517/ccdc.csd.cc23xpqg
title: CCDC 1963996: Experimental Crystal Structure Determination

description: Related Article: Congyuan Wei, Zhonghai Tang, Weifeng Zhang, Jianyao Huang, Yankai Zhou, Liping Wang, Gui Yu|2020|Polym.Chem.|11|7340|doi:10.1039/D0PY01399D
DOI: 10.5517/ccdc.csd.cc244p55
title: CCDC 1970706: Experimental Crystal Structure Determination

description: Related Article: He Jiang, Ye Tao, Jibiao Jin, Yizhong Dai, Lijie Xian, Jun Wang, Shuang Wang, Runfeng Chen, Chao Zheng, Wei Huang|2020|Materials Horizons|7|3298|doi:10.1039/D0MH01252A
DOI: 10.5517/ccdc.csd.cc25k7kk
title: CCDC 2012568: Experimental Crystal Structure Determination

description: Related Article: Ming-Zhong Zhang, Long Liu, Quan Gou, Qi Wang, Yi Li, Wan-Ting Li, Fei Luo, Min Yuan, Tieqiao Chen, Wei-Min He|2020|Green Chemistry|22|8369|doi:10.1039/D0GC02205E
DOI: 10.5517/ccdc.csd.cc25ww76
title: CCDC 2022788: Experimental Crystal Structure Determination

description: Related Article: Zhuang-Zhuang Chen, Wen-Ze Zhang, Ting Zhang, Yang Zhang, Wen-Kui Dong|2020|New J.Chem.|44|19836|doi:10.1039/D0NJ04126B
DOI: 10.5517/ccdc.csd.cc25ww87
title: CCDC 2022789: Experimental Crystal Structure Determination

description: Related Article: Zhuang-Zhuang Chen, Wen-Ze Zhang, Ting Zhang, Yang Zhang, Wen-Kui Dong|2020|New J.Chem.|44|19836|doi:10.1039/D0NJ04126B
DOI: 10.5517/ccdc.csd.cc244pgg
title: CCDC 1970715: Experimental Crystal Structure Determination

description: Related Article: He Jiang, Ye Tao, Jibiao Jin, Yizhong Dai, Lijie Xian, Jun Wang, Shuang Wang, Runfeng Chen, Chao Zheng, Wei Huang|2020|Materials Horizons|7|3298|doi:10.1039/D0MH01252A
DOI: 10.23708/t51fnt
title: Concentrations and size characteristics of anthropogenic fibers measured monthly in the Saigon River, Vietnam (2016-2017)

description: Anthropogenic fibers, gathering synthetic fibers (including fibers of plastic origin), artificial fibers (including fibers of plastic origin) and natural fibers were measured in the surface water of the Saigon River, crossing the developing megacity Ho Chi Minh City in Vietnam. Bulk samples were taken monthly from July 2016 to December 2017. Samples were analyzed in the laboratory following a three steps digestion and a filtration. The filters, retaining the anthropogenic fibers, were observed by stereomicroscope with HD camera. The dataset presents the concentrations of anthropogenic fibers in each sample, and the individual length and diameter of the fibers.
DOI: 10.5517/ccdc.csd.cc26l6hj
title: CCDC 2043287: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26l6jk
title: CCDC 2043288: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26l6kl
title: CCDC 2043289: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26l6lm
title: CCDC 2043290: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lb38
title: CCDC 2043399: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Phil S. Baran|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lb49
title: CCDC 2043400: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Phil S. Baran|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc26lk6l
title: CCDC 2043619: Experimental Crystal Structure Determination

description: Related Article: Xin Zhou, Semin Lee, Frank R. Fronczek|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.ccwql9g
title: CCDC 826066: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Phil S. Baran|2020|CSD Communication|||
DOI: 10.5517/ccdc.csd.ccwqlbh
title: CCDC 826067: Experimental Crystal Structure Determination

description: Related Article: Arnold L. Rheingold and Phil S. Baran|2020|CSD Communication|||