cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.3954405
title: Biodiversidata vascular plant occurrence records from Uruguay

description: As part of the second phase of the Biodiversidata initiative, we present the first comprehensive open-access species-level database of the vascular plant diversity recorded in Uruguay to date (i.e.: all species for which data is currently available and species presence has been confirmed). It contains 12,470 occurrence records from across 1,648 species and 160 families, which roughly represents 60% of the total recorded flora of Uruguay. The primary biodiversity data include extant native and introduced species from the lycophytes, ferns, gymnosperms, and angiosperms groups. Records were collated from multiple sources including data available in the peer-reviewed scientific literature, institutional scientific collections, and datasets contributed by members of the Biodiversidata initiative.
description: Biodiversidata is a collaborative association of experts with the aim of assembling a constantly growing database for Uruguay's biodiversity. The initiative was launched in 2018 under the direction of Florencia Grattarola as part of her PhD project at the University of Lincoln in partnership with the MacroBiodiversity Lab at Queen's University Belfast (UK), led by Daniel Pincheira-Donoso. Its open-access platform (https://biodiversidata.org/) aims to make the biodiversity data of Uruguay openly available by integrating a broad range of resources including databases, publications, maps, reports and infographics, derived from the work of the team of expert scientific members. Current funds for developing Biodiversidata are conditioned to Grattarola's PhD project concluding in December 2020. The database presented in this study will continue to be improved and updated with new records periodically (yearly). Members of the Biodiversidata Consortium: Florencia Grattarola, Germán Botto, Arley Camargo, Laura Capuccio, Inés da Rosa, César Fagúndez, Noelia Gobel, Andrés González, Enrique M. González, Javier González, Daniel Hernández, Gabriel Laufer, Patricia Mai, Raúl Maneyro, María Martínez, Juan A. Martínez-Lanfranco, Daniel E. Naya, Ana L. Rodales, Florencia Rossi, Mateo Senseber, Franco Teixeira de Mello, Lucía Urtado, Lucía Ziegler and Daniel Pincheira-Donoso.
DOI: 10.6084/m9.figshare.13142804
title: R0312_20191115a_videos

description: Rat 0312, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5066/p9cxsck4
title: Geomorphic and larval lamprey surveys in tributaries of the Umpqua River, Oregon

description: Interactions between geomorphic processes at multiple scales shape the distributions of habitats, species, and life stages that a river can support. Understanding these hierarchical processes may be helpful for proactive monitoring and restoration of native Western Brook Lamprey (Lampetra richardsoni) and Pacific Lamprey (Entosphenus tridentatus) in Pacific Northwest rivers. The processes creating thick, fine-grained sediment deposits that lamprey larvae rely on as rearing habitat were assessed in part through field sampling in the Umpqua River basin, southwestern Oregon, USA. Local factors, such as substrate, boulders, wood, and water, that control sediment erosion and deposition, affecting larval lamprey habitat, were systematically mapped with a total station at the reach-scale for two reaches along Little Wolf, Slide, and South Fork Calapooya Creeks in the Umpqua River Basin, southwest Oregon. This overall dataset includes: 1) GIS layers defining the extent and grain-size of substrate patches, extent of the wetted water surface, locations of boulders, and locations of large wood for all six study reaches that are included in a file geodatabase, 2) a csv file of the raw particle counts used to determine the grain size of the sediment patches, and 3) a csv file of the lengths of larval lamprey detected in the reaches. The datasets were developed by completing geomorphic and larval lamprey surveys in 2014.
DOI: 10.21227/06sw-9k54
title: PVDF-HFP 15%: from electrospinning / electroformation to nonwoven fabric materials

description: See our next articles.
DOI: 10.21227/5svq-2m68
title: PVDF-HFP 15%: from electrospinning / electroformation to nonwoven fabric materials

description: See our next articles.
DOI: 10.21227/bqsj-7d92
title: PVDF-HFP 15%: from electrospinning / electroformation to nonwoven fabric materials

description: See our next articles.
DOI: 10.5517/ccdc.csd.cc25vydd
title: CCDC 2021894: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vyff
title: CCDC 2021895: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vygg
title: CCDC 2021896: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vyhh
title: CCDC 2021897: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vyjj
title: CCDC 2021898: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vykk
title: CCDC 2021899: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vyll
title: CCDC 2021900: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vymm
title: CCDC 2021901: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vynn
title: CCDC 2021902: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vypp
title: CCDC 2021903: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25vyqq
title: CCDC 2021904: Experimental Crystal Structure Determination

description: Related Article: Fabio Mazzotta, Karl W. Törnroos, Doris Kunz|2020|Organometallics|39|3590|doi:10.1021/acs.organomet.0c00556
DOI: 10.5517/ccdc.csd.cc25wvxv
title: CCDC 2022778: Experimental Crystal Structure Determination

description: Related Article: Santosh K. Pagire, Naoya Kumagai, Masakatsu Shibasaki|2020|Org.Lett.|22|7853|doi:10.1021/acs.orglett.0c02760
DOI: 10.5517/ccdc.csd.cc25wvyw
title: CCDC 2022779: Experimental Crystal Structure Determination

description: Related Article: Santosh K. Pagire, Naoya Kumagai, Masakatsu Shibasaki|2020|Org.Lett.|22|7853|doi:10.1021/acs.orglett.0c02760
DOI: 10.5517/ccdc.csd.cc25wvzx
title: CCDC 2022780: Experimental Crystal Structure Determination

description: Related Article: Santosh K. Pagire, Naoya Kumagai, Masakatsu Shibasaki|2020|Org.Lett.|22|7853|doi:10.1021/acs.orglett.0c02760
DOI: 10.6084/m9.figshare.13144538
title: Spectral analysis of Klaran UVC-LED from Purgaty disinfection study

description: Study: Spectral analysis of Klaran UVC-LED from Purgaty disinfection workMethod: Confirmed using Ocean Optics USB4000 photospectrometer
DOI: 10.6084/m9.figshare.13144538.v1
title: Spectral analysis of Klaran UVC-LED from Purgaty disinfection study

description: Study: Spectral analysis of Klaran UVC-LED from Purgaty disinfection workMethod: Confirmed using Ocean Optics USB4000 photospectrometer
DOI: 10.21227/qwsg-xj17
title: PVDF-like segnetoelectric polymer based substances: PVDF MEC-DMF. Some differences between polymer pouring and slectrospinning / electroformation

description: See our next articles.
DOI: 10.21227/7t70-hc31
title: PVDF-like segnetoelectric polymer based substances: PVDF MEC-DMF. Some differences between polymer pouring and slectrospinning / electroformation

description: See our next articles.
DOI: 10.5281/zenodo.4135199
title: Cayla et al., 2020, Wellcome Open Research - Underlying data

description: Underlying dataset for the identifications of low-complexity regions (LCRs) in the proteome of Trypanosoma brucei. - Supplement File 2.xlsx (Position of every InterPro domain and LCR identified. All genes are provided with indication on chromosome localisation, presence of transmembrane domains, signal peptides and the localisation of the encoded proteins, either predicted using DeepLoc<sup>37</sup> or observed (Tryptag<sup>38</sup>)). - Supplement File 3.xlsx (List of genes and Molecular Function gene ontology (GO) enrichment analysis of proteins with predicted LCRs in the N-terminal, central part or C-terminal or the different possible combinations.) - Supplement File 4.xlsx (Property analysis of sequences of every InterPro and LCRs identified.) - Supplement File 5.xlsx (List of genes and Molecular GO enrichment analysis of proteins presenting a Low (&lt;8) or High (&gt;9) polarity index level.) - Supplement File 6.xlsx (List and position of PTMs present on InterPro domains and LCRs. The different datasets from which the PTMs have been extracted can be found in the Zhang2020, Benz2019, Cayla2019, Urbaniak2013, Ooi2020, Fisk2012, Lott2012 and Moretti2017<sup>12,13,15,17–19,27,28</sup> columns. The sequence properties of the domains/LCRs on which these PTMs are located are also indicated. The list of modifications identified in Ooi <em>et al.</em> 2020<sup>28</sup> present on LCRs are indicated in the second sheet.) - Supplement File 7.xlsx (List and position of LCRs, signal peptides and their overlap.)
description: This work was also supported by the Marie Sklodowska Curie postdoctoral fellowship (proposal number 65470) and a Royal Society Research merit award [WM140045]
description: {"references": ["Cayla et al (2020). A global analysis of low-complexity regions in the Trypanosoma brucei proteome reveals enrichment in the C-terminus of nucleic acid binding proteins providing potential targets of phosphorylation. Wellcome Open Res, 5:219 (https://doi.org/10.12688/wellcomeopenres.16286.1)"]}
DOI: 10.5281/zenodo.4015043
title: Cayla et al., 2020, Wellcome Open Research - Underlying data

description: Underlying dataset for the identifications of low-complexity regions (LCRs) in the proteome of Trypanosoma brucei. - Supplement File 2.xlsx (Position of every InterPro domain and LCR identified. All genes are provided with indication on chromosome localisation, presence of transmembrane domains, signal peptides and the localisation of the encoded proteins, either predicted using DeepLoc<sup>37</sup> or observed (Tryptag<sup>38</sup>)). - Supplement File 3.xlsx (List of genes and Molecular Function gene ontology (GO) enrichment analysis of proteins with predicted LCRs in the N-terminal, central part or C-terminal or the different possible combinations.) - Supplement File 4.xlsx (Property analysis of sequences of every InterPro and LCRs identified.) - Supplement File 5.xlsx (List of genes and Molecular GO enrichment analysis of proteins presenting a Low (&lt;8) or High (&gt;9) polarity index level.) - Supplement File 6.xlsx (List and position of PTMs present on InterPro domains and LCRs. The different datasets from which the PTMs have been extracted can be found in the Zhang2020, Benz2019, Cayla2019, Urbaniak2013, Ooi2020, Fisk2012, Lott2012 and Moretti2017<sup>12,13,15,17–19,27,28</sup> columns. The sequence properties of the domains/LCRs on which these PTMs are located are also indicated. The list of modifications identified in Ooi <em>et al.</em> 2020<sup>28</sup> present on LCRs are indicated in the second sheet.) - Supplement File 7.xlsx (List and position of LCRs, signal peptides and their overlap.)
description: This work was also supported by the Marie Sklodowska Curie postdoctoral fellowship (proposal number 65470) and a Royal Society Research merit award [WM140045]
description: {"references": ["Cayla et al (2020). A global analysis of low-complexity regions in the Trypanosoma brucei proteome reveals enrichment in the C-terminus of nucleic acid binding proteins providing potential targets of phosphorylation. Wellcome Open Res, 5:219 (https://doi.org/10.12688/wellcomeopenres.16286.1)"]}
DOI: 10.5281/zenodo.4134470
title: Population Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate

description: Files from the analyses performed in "Population Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate." Please note that the original PAGE Wojcik et al 2019 GWAS Summary Statistics are not included in this Zenodo repository.
DOI: 10.5281/zenodo.4015235
title: Population Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate

description: Files from the analyses performed in "Population Matched Transcriptome Prediction Increases TWAS Discovery and Replication Rate." Please note that the original PAGE Wojcik et al 2019 GWAS Summary Statistics are not included in this Zenodo repository.
DOI: 10.5519/qd.v5ic2h0n
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (373 records)
DOI: 10.25810/gvdn-f515
title: Toward Entrainment Thresholds in Fluvial Plucking

description: The data in this repository were generated using COMSOL Multiphysics 5.5 CFD package. The files are in .dat format for u-component velocities, pressures, and location of the zero-pressure contour line. Each file includes a heading describing the run-file used and date/time and labels for each column of data. Additionally, a .csv file contains the data used for the calculations of pressure variations and Froude numbers.
DOI: 10.6084/m9.figshare.13142804.v1
title: R0312_20191115a_videos

description: Rat 0312, skilled reaching data collected in Leventhal laboratory by Alexandra Bova
DOI: 10.5281/zenodo.4135378
title: Dataset for paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing"

description: This dataset includes all results presented in the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020<br> DOI: 10.1002/admt.202000659.<br> URL:<br> https://onlinelibrary.wiley.com/doi/full/10.1002/admt.202000659 List of data in this dataset:<br> Fig.1-Theoretical Analysis and Basic characteristics.xlsx<br> Fig.2-Experimental results-Coil design.xlsx<br> Fig.3-Cyclic Bending and Folding.xlsx<br> Fig.4-Folding Angle Sensing Performance Evaluation.xlsx<br> Fig.5-Case studies.xlsx All the data included in this dataset were collected and processed by Dr. Hongbo Wang. Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com
description: This dataset includes all results presented in the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020 (DOI: 10.1002/admt.202000659).
DOI: 10.5281/zenodo.4135377
title: Dataset for paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing"

description: This dataset includes all results presented in the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020<br> DOI: 10.1002/admt.202000659.<br> URL:<br> https://onlinelibrary.wiley.com/doi/full/10.1002/admt.202000659 List of data in this dataset:<br> Fig.1-Theoretical Analysis and Basic characteristics.xlsx<br> Fig.2-Experimental results-Coil design.xlsx<br> Fig.3-Cyclic Bending and Folding.xlsx<br> Fig.4-Folding Angle Sensing Performance Evaluation.xlsx<br> Fig.5-Case studies.xlsx All the data included in this dataset were collected and processed by Dr. Hongbo Wang. Contact person:<br> Dr. Hongbo Wang, ustcwhb@gmail.com
description: This dataset includes all results presented in the paper entitled "Folding and Bending Planar Coils for Highly Precise Soft Angle Sensing", published in Advanced Materials Technologies, vol.5, 2000659, 2020 (DOI: 10.1002/admt.202000659).
DOI: 10.15482/usda.adc/1520160
title: Data from: Retention of Pantoea agglomerans Sc1R across stadia of the southern green stink bug, Nezara viridula (L.) (Hemiptera: Pentatomidae)
DOI: 10.6084/m9.figshare.13146206
title: Beyond inclusive fitness benefits in alloparenting: pay-to-stay is supported in a promiscuous breeding ground squirrel

description: Dataset for manuscript
DOI: 10.6084/m9.figshare.13146206.v1
title: Beyond inclusive fitness benefits in alloparenting: pay-to-stay is supported in a promiscuous breeding ground squirrel

description: Dataset for manuscript
DOI: 10.6084/m9.figshare.6972956
title: A Shiny Update to an Old Experiment Game

description: Games can be a powerful tool for learning about statistical methodology. Effective game design involves a fine balance between caricature and realism, to simultaneously illustrate salient concepts in a controlled setting and serve as a testament to real-world applicability. Striking that balance is particularly challenging in response surface and design domains, where real-world scenarios often play out over long time scales, during which theories are revised, model and inferential techniques are improved, and knowledge is updated. Here, I present a game, borrowing liberally from one first played over 40 years ago, which attempts to achieve that balance while reinforcing a cascade of topics in modern nonparametric response surfaces, sequential design, and optimization. The game embeds a blackbox simulation within a shiny app whose interface is designed to simulate a realistic information–availability setting, while offering a stimulating, competitive environment wherein students can try out new methodology, and ultimately appreciate its power and limitations. Interface, rules, timing with course material, and evaluation are described, along with a “case study” involving a cohort of students at Virginia Tech. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.6972956.v3
title: A Shiny Update to an Old Experiment Game

description: Games can be a powerful tool for learning about statistical methodology. Effective game design involves a fine balance between caricature and realism, to simultaneously illustrate salient concepts in a controlled setting and serve as a testament to real-world applicability. Striking that balance is particularly challenging in response surface and design domains, where real-world scenarios often play out over long time scales, during which theories are revised, model and inferential techniques are improved, and knowledge is updated. Here, I present a game, borrowing liberally from one first played over 40 years ago, which attempts to achieve that balance while reinforcing a cascade of topics in modern nonparametric response surfaces, sequential design, and optimization. The game embeds a blackbox simulation within a shiny app whose interface is designed to simulate a realistic information–availability setting, while offering a stimulating, competitive environment wherein students can try out new methodology, and ultimately appreciate its power and limitations. Interface, rules, timing with course material, and evaluation are described, along with a “case study” involving a cohort of students at Virginia Tech. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.6972956.v2
title: A Shiny Update to an Old Experiment Game

description: Games can be a powerful tool for learning about statistical methodology. Effective game design involves a fine balance between caricature and realism, to simultaneously illustrate salient concepts in a controlled setting and serve as a testament to real-world applicability. Striking that balance is particularly challenging in response surface and design domains, where real-world scenarios often play out over long time scales, during which theories are revised, model and inferential techniques are improved, and knowledge is updated. Here, I present a game, borrowing liberally from one first played over 40 years ago, which attempts to achieve that balance while reinforcing a cascade of topics in modern nonparametric response surfaces, sequential design, and optimization. The game embeds a blackbox simulation within a shiny app whose interface is designed to simulate a realistic information–availability setting, while offering a stimulating, competitive environment wherein students can try out new methodology, and ultimately appreciate its power and limitations. Interface, rules, timing with course material, and evaluation are described, along with a “case study” involving a cohort of students at Virginia Tech. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.13146225
title: Generating Correlation Matrices With Specified Eigenvalues Using the Method of Alternating Projections

description: This article describes a new algorithm for generating correlation matrices with specified eigenvalues. The algorithm uses the method of alternating projections (MAP) that was first described by Neumann. The MAP algorithm for generating correlation matrices is both easy to understand and to program in higher-level computer languages, making this method accessible to applied researchers with no formal training in advanced mathematics. Simulations indicate that the new algorithm has excellent convergence properties. Correlation matrices with specified eigenvalues can be profitably used in Monte Carlo research in statistics, psychometrics, computer science, and related disciplines. To encourage such use, R code (R Core Team) for implementing the algorithm is provided in the supplementary material.
DOI: 10.6084/m9.figshare.13146225.v1
title: Generating Correlation Matrices With Specified Eigenvalues Using the Method of Alternating Projections

description: This article describes a new algorithm for generating correlation matrices with specified eigenvalues. The algorithm uses the method of alternating projections (MAP) that was first described by Neumann. The MAP algorithm for generating correlation matrices is both easy to understand and to program in higher-level computer languages, making this method accessible to applied researchers with no formal training in advanced mathematics. Simulations indicate that the new algorithm has excellent convergence properties. Correlation matrices with specified eigenvalues can be profitably used in Monte Carlo research in statistics, psychometrics, computer science, and related disciplines. To encourage such use, R code (R Core Team) for implementing the algorithm is provided in the supplementary material.
DOI: 10.5517/ccdc.csd.cc24301b
title: CCDC 1969090: Experimental Crystal Structure Determination

description: Related Article: Mahesha, M. K. Hema, C. S. Karthik, K. J. Pampa, P. Mallu, N. K. Lokanath|2020|New J.Chem.|44|18048|doi:10.1039/D0NJ03567J
DOI: 10.5517/ccdc.csd.cc24n0lf
title: CCDC 1985444: Experimental Crystal Structure Determination

description: Related Article: Baoyue Zhang, Jun Ying, Xinyue Zhang, Chen Wang, Aixiang Tian|2020|New J.Chem.|44|18074|doi:10.1039/D0NJ03485A
DOI: 10.5517/ccdc.csd.cc24n0qk
title: CCDC 1985448: Experimental Crystal Structure Determination

description: Related Article: Baoyue Zhang, Jun Ying, Xinyue Zhang, Chen Wang, Aixiang Tian|2020|New J.Chem.|44|18074|doi:10.1039/D0NJ03485A