cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15129/df052d7c-5106-4793-8a39-6765c068e8af
title: Data for: "Simple corrections for the static dielectric constant of liquid mixtures from model force fields"

description: This zip file contains the input files required to run the molecular dynamics simulations associated with the manuscript titled 'Simple corrections for the static dielectric constant of liquid mixtures from model force fields'. The simulations were performed using GROMACS 2019.3. The archive is organised in folders that correspond to the different temperatures and mole fractions of ethanol for each of the mixtures analysed in this study. The four different folders that can be found within each mole fraction correspond to the four independent runs performed for each system. Each folder contains six files: - md.mdp: GROMACS input file containing the run parameters for the simulation. - conf_eq.gro: Configuration of the system after thermal equilibration (coordinates of every atom in the simulation box). - mixture.top, atomtypes.itp, ethanol_TraPPE_UA.itp and benzene_TraPPE_EH.itp / water_TIP4P.itp / water_FwSPC.itp: Topology files with the interaction parameters for the force fields used in this work. The simulation can be run executing the following commands within each folder: gmx grompp -f md.mdp -c conf_eq.gro -p mixture.top gmx mdrun -v
DOI: 10.5517/ccdc.csd.cc2398k8
title: CCDC 1945329: Experimental Crystal Structure Determination

description: Related Article: Agris Be̅rziņš, Artis Kons, Kristaps Saršu̅ns, Sergey Belyakov, Andris Actiņš|2020|Cryst.Growth Des.|20|5767|doi:10.1021/acs.cgd.0c00331
DOI: 10.5517/ccdc.csd.cc24qv0r
title: CCDC 1988154: Experimental Crystal Structure Determination

description: Related Article: Lidija Kanižaj, Vedran Vuković, Emmanuel Wenger, Marijana Jurić, Krešimir Molčanov|2020|Polyhedron|189|114723|doi:10.1016/j.poly.2020.114723
DOI: 10.5517/ccdc.csd.cc24xsgb
title: CCDC 1993872: Experimental Crystal Structure Determination

description: Related Article: Amita Singh, Archisman Dutta, Ashish Kumar Singh, Manoj Trivedi, Gabriele Kociok‐Köhn, Mohd. Muddassir, Abhinav Kumar|2020|Appl.Organomet.Chem.|34|e5879|doi:10.1002/aoc.5879
DOI: 10.5517/ccdc.csd.cc24xshc
title: CCDC 1993873: Experimental Crystal Structure Determination

description: Related Article: Amita Singh, Archisman Dutta, Ashish Kumar Singh, Manoj Trivedi, Gabriele Kociok‐Köhn, Mohd. Muddassir, Abhinav Kumar|2020|Appl.Organomet.Chem.|34|e5879|doi:10.1002/aoc.5879
DOI: 10.5517/ccdc.csd.cc24xsjd
title: CCDC 1993874: Experimental Crystal Structure Determination

description: Related Article: Amita Singh, Archisman Dutta, Ashish Kumar Singh, Manoj Trivedi, Gabriele Kociok‐Köhn, Mohd. Muddassir, Abhinav Kumar|2020|Appl.Organomet.Chem.|34|e5879|doi:10.1002/aoc.5879
DOI: 10.5517/ccdc.csd.cc24zs42
title: CCDC 1995784: Experimental Crystal Structure Determination

description: Related Article: Dmitri V. Konarev, Aleksey V. Kuzmin, Salavat S. Khasanov, Alexander F. Shestakov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Rimma N. Lyubovskaya|2020|Chem.Asian J.|15|2689|doi:10.1002/asia.202000615
DOI: 10.5517/ccdc.csd.cc24zslj
title: CCDC 1995798: Experimental Crystal Structure Determination

description: Related Article: Dmitri V. Konarev, Aleksey V. Kuzmin, Salavat S. Khasanov, Alexander F. Shestakov, Akihiro Otsuka, Hideki Yamochi, Hiroshi Kitagawa, Rimma N. Lyubovskaya|2020|Chem.Asian J.|15|2689|doi:10.1002/asia.202000615
DOI: 10.5517/ccdc.csd.cc25035h
title: CCDC 1996095: Experimental Crystal Structure Determination

description: Related Article: Yandie Zhang, Xiaohong Liang, Zhijian Ouyang, Meng Yang|2021|J.Mol.Struct.|1225|129155|doi:10.1016/j.molstruc.2020.129155
DOI: 10.5517/ccdc.csd.cc25036j
title: CCDC 1996096: Experimental Crystal Structure Determination

description: Related Article: Yandie Zhang, Xiaohong Liang, Zhijian Ouyang, Meng Yang|2021|J.Mol.Struct.|1225|129155|doi:10.1016/j.molstruc.2020.129155
DOI: 10.5517/ccdc.csd.cc251q43
title: CCDC 1997644: Experimental Crystal Structure Determination

description: Related Article: Qi Zhang, Ying Wang, Junbo Gong, Xin Zhang|2020|Dyes Pigm.|184|108652|doi:10.1016/j.dyepig.2020.108652
DOI: 10.5517/ccdc.csd.cc25274n
title: CCDC 1998140: Experimental Crystal Structure Determination

description: Related Article: Subramani Sangeetha, Govindasamy Sekar|2020|Chem.Commun.|56|10906|doi:10.1039/D0CC04647G
DOI: 10.5281/zenodo.4034819
title: Supplementary material for 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching'

description: Supplementary material for the https://github.com/Living-with-machines/LwM_SIGSPATIAL2020_ToponymMatching repository, containing the underlying code and materials for the paper 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching', accepted to SIGSPATIAL2020 as a poster paper. Coll Ardanuy, M., Hosseini, K., McDonough, K., Krause, A., van Strien, D. and Nanni, F. (2020): A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching, SIGSPATIAL: Poster Paper.
DOI: 10.5281/zenodo.4034818
title: Supplementary material for 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching'

description: Supplementary material for the https://github.com/Living-with-machines/LwM_SIGSPATIAL2020_ToponymMatching repository, containing the underlying code and materials for the paper 'A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching', accepted to SIGSPATIAL2020 as a poster paper. Coll Ardanuy, M., Hosseini, K., McDonough, K., Krause, A., van Strien, D. and Nanni, F. (2020): A Deep Learning Approach to Geographical Candidate Selection through Toponym Matching, SIGSPATIAL: Poster Paper.
DOI: 10.6084/m9.figshare.12967970
title: Supplementary material - Ardeche Tracks

description: 3D models and DEMs for Dinosaur Tracks related to the article published in Palaios: <b>TRACKING DINOSAURS IN COARSE-GRAINED SEDIMENTS FROM THE UPPER TRIASSIC OF ARDÈCHE (SOUTHEASTERN FRANCE)</b> LEO SZEWCZYK, EMMANUELLE VENNIN, JEAN-DAVID MOREAU, GEORGES GAND, MICHEL VEROLET, NICOLAS KLEE AND EMMANUEL FARA<br>
DOI: 10.5281/zenodo.4034797
title: The spatial signature of introgression after a biological invasion with hybridization

description: <strong>Simulated Data and Custom Scripts</strong> This repository contains data for performing simulations with SPLATCHE3 and the custom R scripts used in the following manuscript: Quilodrán CS, Tsoupas A and M Currat. 2020. The spatial signature of introgression after a biological invasion with hybridization. Frontiers in Ecology and Evolution. There are three main folders (.zip files): Settings: the setting files of SPLATCHE3 used in all explored scenarios. The example folder for each scenario (01_newset) contains the setting file and setting folder needed to run SPLATCHE3. This example folder contains a single simulation of the interbreeding rate (MigrRate_P1_to_P2 and MigrRate_P2_to_P1) that generates an output of 10,000 simulated loci. The folder also contains a public version of SPLATCHE3 for Linux. The software version for other platforms (Mac OS X and Windows) can be obtained from “http://www.splatche.com/splatche3". Results: all results obtained in the different scenarios. The three simulations in a square world are presented for the invasive (NC files) and local organisms (NCbis). The neanderthal scenario presents the simulated proportion of introgression in modern humans sampled in France and China. Rcustom: custom R functions and files used for plotting the results. There are also four R scripts for plotting all main figures in the manuscript. <strong>Acknowledgments </strong><br> This study was financed by grants from the Swiss National Science Foundation n° 31003A_182577 to MC and P400PB_183930 to CSQ. All computations were performed using the High-Performance Computing (HPC) cluster at baobab.unige.ch
DOI: 10.5281/zenodo.4034796
title: The spatial signature of introgression after a biological invasion with hybridization

description: <strong>Simulated Data and Custom Scripts</strong> This repository contains data for performing simulations with SPLATCHE3 and the custom R scripts used in the following manuscript: Quilodrán CS, Tsoupas A and M Currat. 2020. The spatial signature of introgression after a biological invasion with hybridization. Frontiers in Ecology and Evolution. There are three main folders (.zip files): Settings: the setting files of SPLATCHE3 used in all explored scenarios. The example folder for each scenario (01_newset) contains the setting file and setting folder needed to run SPLATCHE3. This example folder contains a single simulation of the interbreeding rate (MigrRate_P1_to_P2 and MigrRate_P2_to_P1) that generates an output of 10,000 simulated loci. The folder also contains a public version of SPLATCHE3 for Linux. The software version for other platforms (Mac OS X and Windows) can be obtained from “http://www.splatche.com/splatche3". Results: all results obtained in the different scenarios. The three simulations in a square world are presented for the invasive (NC files) and local organisms (NCbis). The neanderthal scenario presents the simulated proportion of introgression in modern humans sampled in France and China. Rcustom: custom R functions and files used for plotting the results. There are also four R scripts for plotting all main figures in the manuscript. <strong>Acknowledgments </strong><br> This study was financed by grants from the Swiss National Science Foundation n° 31003A_182577 to MC and P400PB_183930 to CSQ. All computations were performed using the High-Performance Computing (HPC) cluster at baobab.unige.ch
DOI: 10.6084/m9.figshare.12968059.v1
title: Dwarf mongoose response to alarm call playbacks from Dwarf mongoose alarm calls: investigating a complex non-human animal call

description: Data concerning the different responses of dwarf mongooses to the playback of alarm calls (aerial, terrestrial and type 3)
DOI: 10.6084/m9.figshare.12968059
title: Dwarf mongoose response to alarm call playbacks from Dwarf mongoose alarm calls: investigating a complex non-human animal call

description: Data concerning the different responses of dwarf mongooses to the playback of alarm calls (aerial, terrestrial and type 3)
DOI: 10.6084/m9.figshare.12968062.v1
title: Acoustic measurements of dwarf mongoose alarm calls from Dwarf mongoose alarm calls: investigating a complex non-human animal call

description: Measurements of different acoustic parameters of the various alarm calls of dwarf mongooses
DOI: 10.6084/m9.figshare.12968062
title: Acoustic measurements of dwarf mongoose alarm calls from Dwarf mongoose alarm calls: investigating a complex non-human animal call

description: Measurements of different acoustic parameters of the various alarm calls of dwarf mongooses
DOI: 10.5281/zenodo.3773102
title: Depth of the sea floor along the 5-minute resolution cruise track of the Antarctic Circumnavigation Expedition (ACE) derived from GEBCO 2019 bathymetry data.

description: <strong>Dataset abstract</strong> Depth of the seabed along the five-minute averaged cruise track (Landwehr et al., 2020; DOI: 10.5281/zenodo.3752691) of the Antarctic Circumnavigation Expedition (ACE) was calculated from the the General Bathymetric Chart of the Oceans (GEBCO; GEBCO Compilation Group, 2019) 2019 gridded 30-arc second bathymetry data. The nearest gridded value from the bathymetry dataset was used to find the depth at the averaged position. Provided within this dataset is the average position of the vessel during a five-minute time period (where the time given is the middle time of the averaging interval). <strong>Dataset contents</strong> cruise_track_gebco2019_depth_5min.csv, data file, comma-separated values data_file_header.txt, metadata, text README.txt, metadata, text ace_cruise_track_gebco2019_depth_5min_change_log.txt, metadata, text <strong>Change log</strong> <strong>v1.1</strong> - Added additional data coverage and therefore track coverage from 2016-11-17 - 2016-11-22 inclusive. Updated README.txt with information about data coverage. Added change_log file. <strong>v1.0</strong> - Initial release of depth along cruise track data set. <strong>Dataset license</strong> This GEBCO sea floor depth along the cruise track dataset from ACE is made available under the Creative Commons Attribution 4.0 International License (CC BY 4.0) whose full text can be found at https://creativecommons.org/licenses/by/4.0/
description: The Antarctic Circumnavigation Expedition was made possible by funding from the Swiss Polar Institute and Ferring Pharmaceuticals.
description: {"references": ["GEBCO Compilation Group (2019) GEBCO 2019 Grid (doi:10.5285/836f016a-33be-6ddc-e053-6c86abc0788e)", "Thomas, Jenny, & Pina Estany, Carles. (2020, April 9). Swiss-Polar-Institute/science-data-utils v0.4.0 (Version v0.4.0). Zenodo. http://doi.org/10.5281/zenodo.3746110", "Landwehr, Sebastian, Thomas, Jenny, & Schmale, Julia. (2020). Five-minute average cruise track and ship velocity of the Antarctic Circumnavigation Expedition (ACE) undertaken during the austral summer of 2016/2017. (Version 1.1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3772377", "Rasterio, MapBox, 2018. https://github.com/mapbox/rasterio/blob/master/docs/index.rst"]}
DOI: 10.15156/bio/sh2082464.08fu
title: SH2082464.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2654920.08fu
title: SH2654920.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2654921.08fu
title: SH2654921.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2082465.08fu
title: SH2082465.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2082466.08fu
title: SH2082466.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2082467.08fu
title: SH2082467.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2654922.08fu
title: SH2654922.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2654923.08fu
title: SH2654923.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.
DOI: 10.15156/bio/sh2654924.08fu
title: SH2654924.08FU

description: UNITE provides a unified way for delimiting, identifying, communicating, and working with DNA-based Species Hypotheses (SH). All fungal ITS sequences in the international nucleotide sequence databases are clustered to approximately the species level by applying a set of dynamic distance values (<0.5 - 3.0%). All species hypotheses are given a unique, stable name in the form of a DOI, and their taxonomic and ecological annotations are verified through distributed, web-based third-party annotation efforts. SHs are connected to a taxon name and its classification as far as possible (phylum, class, order, etc.) by taking into account identifications for all sequences in the SH. An automatically or manually designated sequence is chosen to represent each such SH. These sequences are released (https://unite.ut.ee/repository.php) for use by the scientific community in, for example, local sequence similarity searches and next-generation sequencing analysis pipelines. The system and the data are updated automatically as the number of public fungal ITS sequences grows.