cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.rgzvzd
title: Occurrence Download

description: A dataset containing 618966 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Phalaris arundinacea L."
 ]
}

 The dataset includes 618966 records from 2265 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0073547-240321170329656/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.4139626
title: Sample data of the 99 simulated brains dataset

description: This archive is a supplement for the 99 simulated brains dataset http://dx.doi.org/10.6097/e230-20200511_1 and contains the data of one single sample subject created using MITK Diffusion [1]. It contains simulated MR images (T1, T2, dMRI) of 1 healthy subject as well as corresponding reference fiber tracts used for the MRI simulation. For more details, please refer to the full dataset [2]. If you are using this dataset in your work, please cite it and also cite the full dataset. [1] Neher, Peter. <em>MIC-DKFZ/MITK-Diffusion</em>. C++. 2019. Reprint, MIC-DKFZ, 2020. https://github.com/MIC-DKFZ/MITK-Diffusion. [2] Neher, Peter, und Klaus Maier-Hein. „Simulated MRI Images and Reference Fiber Tracts of 99 Subjects.“ German Cancer Research Center, 2020. https://doi.org/10.6097/e230-20200511_1. <strong>Acknowledgements:</strong> Data were provided [in part] by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. This work was supported by the Collaborative Research Center (SFB/TRR 125 Cognition-Guided Surgery) of the German Research Foundation (DFG) grant number INST 35/1120-1, DFG grant MA 6340/10-1, DFG grant MA 6340/12-1 and by the Helmholtz Association Initiative and Networking Fund under project number ZT-I-0003.
DOI: 10.21227/1hzp-cf09
title: Baseline3

description: •Baseline 1 : monthly average per month over all smart meters•Monthly average value for January, March, April,…•Baseline 2:monthly average per smartmeter over the data available•Monthly average value for smart meter 1, Smart meter 2, …•Building baseline 3 computing the average between baseline 1 and 2.
DOI: 10.5281/zenodo.4139625
title: Sample data of the 99 simulated brains dataset

description: This archive is a supplement for the 99 simulated brains dataset http://dx.doi.org/10.6097/e230-20200511_1 and contains the data of one single sample subject created using MITK Diffusion [1]. It contains simulated MR images (T1, T2, dMRI) of 1 healthy subject as well as corresponding reference fiber tracts used for the MRI simulation. For more details, please refer to the full dataset [2]. If you are using this dataset in your work, please cite it and also cite the full dataset. [1] Neher, Peter. <em>MIC-DKFZ/MITK-Diffusion</em>. C++. 2019. Reprint, MIC-DKFZ, 2020. https://github.com/MIC-DKFZ/MITK-Diffusion. [2] Neher, Peter, und Klaus Maier-Hein. „Simulated MRI Images and Reference Fiber Tracts of 99 Subjects.“ German Cancer Research Center, 2020. https://doi.org/10.6097/e230-20200511_1. <strong>Acknowledgements:</strong> Data were provided [in part] by the Human Connectome Project, WU-Minn Consortium (Principal Investigators: David Van Essen and Kamil Ugurbil; 1U54MH091657) funded by the 16 NIH Institutes and Centers that support the NIH Blueprint for Neuroscience Research; and by the McDonnell Center for Systems Neuroscience at Washington University. This work was supported by the Collaborative Research Center (SFB/TRR 125 Cognition-Guided Surgery) of the German Research Foundation (DFG) grant number INST 35/1120-1, DFG grant MA 6340/10-1, DFG grant MA 6340/12-1 and by the Helmholtz Association Initiative and Networking Fund under project number ZT-I-0003.
DOI: 10.5281/zenodo.4139704
title: Emetophobia Dataset

description: This dataset contains 300 positive examples and 300 negative examples of triggering sentences for emetophobia.
DOI: 10.5281/zenodo.4139703
title: Emetophobia Dataset

description: This dataset contains 300 positive examples and 300 negative examples of triggering sentences for emetophobia.
DOI: 10.5281/zenodo.3739095
title: Axiom Pinpointing for Lightweight Description Logics through Incremental SAT

description: This repository contains results of empirical evaluation of the procedure described in article SATPin: Axiom Pinpointing for Lightweight Description Logics through Incremental SAT, and input for this evaluation.
DOI: 10.5281/zenodo.3739094
title: Axiom Pinpointing for Lightweight Description Logics through Incremental SAT

description: This repository contains results of empirical evaluation of the procedure described in article SATPin: Axiom Pinpointing for Lightweight Description Logics through Incremental SAT, and input for this evaluation.
DOI: 10.17632/jsy2zsktcf.1
title: Dataset of compounds in herbicides without glyphosate

description: Linked to "Data in Brief" with the same title and to the Research Paper "Toxic Compounds in Herbicides Without Glyphosate in Food and Chemical Toxicology just accepted DOI : https://doi.org/10.1016/j.fct.2020.111770 Abstract : Glyphosate has been banned in some herbicidal formulations. We analyse for the first time 14 marketed products where glyphosate was replaced by acetic, pelargonic, caprylic or capric acids, or even benzalkonium chloride, to be supposedly less toxic. 35 heavy metals, 16 polycyclic aromatic hydrocarbons (PAHs), and essential minerals were tested by specific mass spectrometry associated with gas chromatography or inductively coupled plasma methods in the formulations. Essential minerals do not reach toxic levels, but heavy metals are found at levels up to 39 mg/L, depending on the product, and include silicon, arsenic, lead, iron, nickel, and titanium. Their presence at up to several hundred times the admissible levels in water may be due to nanoparticles embedding pesticides. PAHs reach levels of 32–2430 μg/L in 12 of the 14 samples; for instance, the carcinogen benzo(A)pyrene was detected. It was found to be present at up to several thousand times above the norm in water, as was benzo(A)anthracene. These compounds did not add significant herbicidal effects. Low levels of glyphosate were detected in 2 samples. These variable levels of undeclared toxic chemicals violate European Union rules on pesticides and may have health and environmental consequences, especially when exposure is long-term.
DOI: 10.25386/genetics.13138577
title: Supplemental Material for Veller et al., 2020

description: Supplemental Information for Veller et al. (2020) "Variation in genetic relatedness is determined by the aggregate recombination process"
DOI: 10.25386/genetics.13138577.v1
title: Supplemental Material for Veller et al., 2020

description: Supplemental Information for Veller et al. (2020) "Variation in genetic relatedness is determined by the aggregate recombination process"
DOI: 10.5281/zenodo.4086062
title: iGEM Heidelberg 2020 Judging Release Datasets for PRISM

description: Datasets for the initial training of the generative neural network PRISM. Datasets are generated by the provided preprocessing pipeline. For usage please insert into: "./PRISM/Databases/data/training" A detailed description of the dataset and PRISM can be found here: https://2020.igem.org/Team:Heidelberg/Software/PRISM
DOI: 10.5281/zenodo.4086061
title: iGEM Heidelberg 2020 Judging Release Datasets for PRISM

description: Datasets for the initial training of the generative neural network PRISM. Datasets are generated by the provided preprocessing pipeline. For usage please insert into: "./PRISM/Databases/data/training" A detailed description of the dataset and PRISM can be found here: https://2020.igem.org/Team:Heidelberg/Software/PRISM
DOI: 10.6084/m9.figshare.11100974
title: Stakeholder - Business Development

description: Concept maps and content analysis generated using Leximancer for the stakeholder group - Business Development
DOI: 10.6084/m9.figshare.11100974.v1
title: Stakeholder - Business Development

description: Concept maps and content analysis generated using Leximancer for the stakeholder group - Business Development
DOI: 10.5258/soton/d1488
title: Dataset for: Silicon single-electron random number generator based on random telegraph signals at room temperature

description: Data set for paper: AUTHORS: K. Ibukuro, F. Liu, M. K. Husain, M. Sotto, J. Hillier, Z, Li, I. Tomita, Y. Tsuchiya, H. Rutt, and S. Saito. TITLE: Silicon single-electron random number generator based on random telegraph signals at room temperature JOURNAL: AIP Advances
DOI: 10.5281/zenodo.4118224
title: data for pnas paper "Accumulation of styrene oligomers alters lipid membrane phase order and miscibility"

description: Data set for PNAS paper "Accumulation of styrene oligomers alters lipid membrane phase order and miscibility" by Morandi etal. The data concerns four techniques: small angle neutron scattering (sans), differential scanning calorimetry (dsc), epifluorescence microscopy of giant unilamellar vesicles (guvs) and spectrophotometric data from vesicles with the probe laurdan (laurdan). Data from each technique is stored as a compressed zip file containing the data and a readme.txt file with the corresponding data information.
DOI: 10.5281/zenodo.4118223
title: data for pnas paper "Accumulation of styrene oligomers alters lipid membrane phase order and miscibility"

description: Data set for PNAS paper "Accumulation of styrene oligomers alters lipid membrane phase order and miscibility" by Morandi etal. The data concerns four techniques: small angle neutron scattering (sans), differential scanning calorimetry (dsc), epifluorescence microscopy of giant unilamellar vesicles (guvs) and spectrophotometric data from vesicles with the probe laurdan (laurdan). Data from each technique is stored as a compressed zip file containing the data and a readme.txt file with the corresponding data information.
DOI: 10.5258/soton/d0056
title: Data for Optoelectronic Oscillator incorporating Hollow Core Photonic Bandgap Fiber

description: This dataset contains data (X and Y data with labels and units) that was used to plot the graphs in the paper U. S. Mutugala, J. Kim, T. D. Bradley, N. V. Wheeler, S. R. Sandoghchi, J. R. Hayes, E. Numkam Fokoua, F. Poletti, M. N. Petrovich, D. J. Richardson, and R. Slavík, "Optoelectronic oscillator incorporating hollow-core photonic bandgap fiber," Opt. Lett. 42, 2647-2650 (2017) DOI:https://doi.org/10.1364/OL.42.002647
DOI: 10.5258/soton/d1599
title: Data for "Testing dissipative collapse models with a levitated micromagnet"

description: Data for the journal article: Vinante, A, Gasbarri, G, Timberlake, C, Toros, M & Ulbricht, H 2020, 'Testing dissipative collapse models with a levitated micromagnet', Physical Review Research.
DOI: 10.6084/m9.figshare.12726941
title: Supplementary Material File by Chengyu Zhu

description: Sample location. U-Pb, (U-Th)/He and AFT ages
DOI: 10.6084/m9.figshare.12726941.v3
title: Supplementary Material File by Chengyu Zhu

description: Sample location. U-Pb, (U-Th)/He and AFT ages
DOI: 10.6084/m9.figshare.12726941.v2
title: U-Pb/AFT/AHe.xls

description: Zircon U-Pb/AFT/AHe
DOI: 10.5258/soton/d1603
title: Dataset for article - Effect of Pasteurisation on Methane Yield from Food Waste and other Substrates in AD

description: This dataset supports the publication: AUTHORS: Yue Zhang, Sigrid Kusch-Brandt, Sonia Heaven and Charles J. Banks TITLE: Effect of Pasteurisation on Methane Yield from Food Waste and other Substrates in Anaerobic Digestion JOURNAL: Processes DOI: https://doi.org/10.3390/pr8111351
DOI: 10.6084/m9.figshare.13122881
title: Rooting the animal tree of life

description: There has been considerable debate about the placement of the root in the animal tree of life, which has emerged as one of the most difficult problems in animal phylogenetics. This debate has major implications for our understanding of the earliest events in animal evolution, including the origin of the nervous system. Some phylogenetic analyses support a root that places the first split in the phylogeny of living animals between sponges and all other animals (the Porifera-sister hypothesis), and others find support for a split between comb jellies and all other animals (Ctenophora-sister). These analyses differ in many respects, including in the genes considered, species considered, molecular evolution models, and software. Here we systematically explore the rooting of the animal tree of life under consistent conditions by synthesizing data and results from 15 previous phylogenomic studies and performing a comprehensive set of new standardized analyses. It has previously been suggested that site-heterogeneous models favor Porifera-sister, but we find that this is not the case. Rather, Porifera-sister is only obtained under a narrow set of conditions when the number of site-heterogeneous categories is unconstrained and range into the hundreds. Site-heterogenous models with a fixed number of dozens of categories support Ctenophora-sister, and cross-validation indicates that such models fit the data just as well as the unconstrained models. Our analyses shed light on an important source of variation between phylogenomic studies of the animal root. The datasets and analyses consolidated here will also be a useful test-platform for the development of phylogenomic methods for this and other difficult problems.<br>
DOI: 10.5281/zenodo.4139767
title: Effect of deposition angle on fabrication of plasmonic gold nanocones and nanodiscs_experimetal dataset

description: This file contains the raw unprocessed experimental data for the results published in Liška et al., Effect of deposition angle on fabrication of plasmonic gold nanocones and nanodiscs, Microelectronic Engineering, Volume 228, 1 May 2020, 111326. .
description: This research was carried out under project GA17-33767L of Grant Agency of the Czech Republic, H2020 Twinning programme (project SINNCE, 810626) and Brno University of Technology (project FSI-S-17-4482). The work was also supported by the project CEITEC 2020 (LQ1601) with financial support from the Ministry of Education, Youth and Sports of the Czech Republic under the National Sustainability Programme II. We acknowledge CzechNanoLab Research Infrastructure supported by MEYS CR (LM2018110). The research was partly funded by the Austrian Science Fund (FWF) grant number I 3064 and by the City of Vienna Hochschuljubiläumsfonds project H-268476/2016.
DOI: 10.5281/zenodo.4139766
title: Effect of deposition angle on fabrication of plasmonic gold nanocones and nanodiscs_experimetal dataset

description: This file contains the raw unprocessed experimental data for the results published in Liška et al., Effect of deposition angle on fabrication of plasmonic gold nanocones and nanodiscs, Microelectronic Engineering, Volume 228, 1 May 2020, 111326. .
description: This research was carried out under project GA17-33767L of Grant Agency of the Czech Republic, H2020 Twinning programme (project SINNCE, 810626) and Brno University of Technology (project FSI-S-17-4482). The work was also supported by the project CEITEC 2020 (LQ1601) with financial support from the Ministry of Education, Youth and Sports of the Czech Republic under the National Sustainability Programme II. We acknowledge CzechNanoLab Research Infrastructure supported by MEYS CR (LM2018110). The research was partly funded by the Austrian Science Fund (FWF) grant number I 3064 and by the City of Vienna Hochschuljubiläumsfonds project H-268476/2016.
DOI: 10.21227/wr2y-6b02
title: Parallax input images

description: This dataset is input images for image stitching. The images have various parallax level. So, we grouped the images into five groups according to parallax level.Some images are from the existing dataset and the other images are added by us.
DOI: 10.21227/rr8w-7f33
title: Parallax input images

description: This dataset is input images for image stitching. The images have various parallax level. So, we grouped the images into five groups according to parallax level.Some images are from the existing dataset and the other images are added by us.
DOI: 10.5517/ccdc.csd.cc24zh6v
title: CCDC 1995507: Experimental Crystal Structure Determination

description: Related Article: Hojoon Park, Jin-Quan Yu|2020|J.Am.Chem.Soc.|142|16552|doi:10.1021/jacs.0c08290
DOI: 10.5517/ccdc.csd.cc24zh7w
title: CCDC 1995508: Experimental Crystal Structure Determination

description: Related Article: Hojoon Park, Jin-Quan Yu|2020|J.Am.Chem.Soc.|142|16552|doi:10.1021/jacs.0c08290
DOI: 10.5517/ccdc.csd.cc253y08
title: CCDC 1999779: Experimental Crystal Structure Determination

description: Related Article: M. P. Lijina, Alfy Benny, Remya Ramakrishnan, Nanditha G. Nair, Mahesh Hariharan|2020|J.Am.Chem.Soc.|142|17393|doi:10.1021/jacs.0c06016
DOI: 10.5517/ccdc.csd.cc254p89
title: CCDC 2000500: Experimental Crystal Structure Determination

description: Related Article: Gabriele Stevanato, Gilles Casano, Dominik J. Kubicki, Yu Rao, Laura Esteban Hofer, Georges Menzildjian, HAKIM KAROUI, Didier Siri, Manuel Cordova, Maxim Yulikov, Gunnar Jeschke, Moreno Lelli, Anne Lesage, Olivier Ouari, Lyndon Emsley|2020|J.Am.Chem.Soc.|142|16587|doi:10.1021/jacs.0c04911
DOI: 10.5517/ccdc.csd.cc254pbc
title: CCDC 2000502: Experimental Crystal Structure Determination

description: Related Article: Gabriele Stevanato, Gilles Casano, Dominik J. Kubicki, Yu Rao, Laura Esteban Hofer, Georges Menzildjian, HAKIM KAROUI, Didier Siri, Manuel Cordova, Maxim Yulikov, Gunnar Jeschke, Moreno Lelli, Anne Lesage, Olivier Ouari, Lyndon Emsley|2020|J.Am.Chem.Soc.|142|16587|doi:10.1021/jacs.0c04911
DOI: 10.5517/ccdc.csd.cc254pcd
title: CCDC 2000503: Experimental Crystal Structure Determination

description: Related Article: Gabriele Stevanato, Gilles Casano, Dominik J. Kubicki, Yu Rao, Laura Esteban Hofer, Georges Menzildjian, HAKIM KAROUI, Didier Siri, Manuel Cordova, Maxim Yulikov, Gunnar Jeschke, Moreno Lelli, Anne Lesage, Olivier Ouari, Lyndon Emsley|2020|J.Am.Chem.Soc.|142|16587|doi:10.1021/jacs.0c04911
DOI: 10.5517/ccdc.csd.cc254pfg
title: CCDC 2000505: Experimental Crystal Structure Determination

description: Related Article: Gabriele Stevanato, Gilles Casano, Dominik J. Kubicki, Yu Rao, Laura Esteban Hofer, Georges Menzildjian, HAKIM KAROUI, Didier Siri, Manuel Cordova, Maxim Yulikov, Gunnar Jeschke, Moreno Lelli, Anne Lesage, Olivier Ouari, Lyndon Emsley|2020|J.Am.Chem.Soc.|142|16587|doi:10.1021/jacs.0c04911
DOI: 10.5517/ccdc.csd.cc254phj
title: CCDC 2000507: Experimental Crystal Structure Determination

description: Related Article: Gabriele Stevanato, Gilles Casano, Dominik J. Kubicki, Yu Rao, Laura Esteban Hofer, Georges Menzildjian, HAKIM KAROUI, Didier Siri, Manuel Cordova, Maxim Yulikov, Gunnar Jeschke, Moreno Lelli, Anne Lesage, Olivier Ouari, Lyndon Emsley|2020|J.Am.Chem.Soc.|142|16587|doi:10.1021/jacs.0c04911
DOI: 10.5517/ccdc.csd.cc254pjk
title: CCDC 2000508: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc254pkl
title: CCDC 2000509: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc254plm
title: CCDC 2000510: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25mx91
title: CCDC 2015133: Experimental Crystal Structure Determination

description: Related Article: Omar M. Beleh, Edward Miller, F. Dean Toste, Scott J. Miller|2020|J.Am.Chem.Soc.|142|16461|doi:10.1021/jacs.0c08057
DOI: 10.5517/ccdc.csd.cc25mxb2
title: CCDC 2015134: Experimental Crystal Structure Determination

description: Related Article: Omar M. Beleh, Edward Miller, F. Dean Toste, Scott J. Miller|2020|J.Am.Chem.Soc.|142|16461|doi:10.1021/jacs.0c08057
DOI: 10.5517/ccdc.csd.cc25nx6z
title: CCDC 2016091: Experimental Crystal Structure Determination

description: Related Article: Jesse L. Peltier, Michele Soleilhavoup, David Martin, Rodolphe Jazzar, Guy Bertrand|2020|J.Am.Chem.Soc.|142|16479|doi:10.1021/jacs.0c07990
DOI: 10.5517/ccdc.csd.cc25nx70
title: CCDC 2016092: Experimental Crystal Structure Determination

description: Related Article: Jesse L. Peltier, Michele Soleilhavoup, David Martin, Rodolphe Jazzar, Guy Bertrand|2020|J.Am.Chem.Soc.|142|16479|doi:10.1021/jacs.0c07990
DOI: 10.5517/ccdc.csd.cc25nx81
title: CCDC 2016093: Experimental Crystal Structure Determination

description: Related Article: Jesse L. Peltier, Michele Soleilhavoup, David Martin, Rodolphe Jazzar, Guy Bertrand|2020|J.Am.Chem.Soc.|142|16479|doi:10.1021/jacs.0c07990
DOI: 10.5517/ccdc.csd.cc25nx92
title: CCDC 2016094: Experimental Crystal Structure Determination

description: Related Article: Jesse L. Peltier, Michele Soleilhavoup, David Martin, Rodolphe Jazzar, Guy Bertrand|2020|J.Am.Chem.Soc.|142|16479|doi:10.1021/jacs.0c07990
DOI: 10.5517/ccdc.csd.cc25qmg0
title: CCDC 2017742: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25rcy8
title: CCDC 2018470: Experimental Crystal Structure Determination

description: Related Article: Yusuke Kataoka, Yoshihiro Kohara, Natsumi Yano, Tatsuya Kawamoto|2020|Dalton Trans.|49|14373|doi:10.1039/D0DT02672G
DOI: 10.5517/ccdc.csd.cc25rcz9
title: CCDC 2018471: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25rd0c
title: CCDC 2018472: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25rw72
title: CCDC 2018944: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25rw83
title: CCDC 2018945: Experimental Crystal Structure Determination

description: Related Article: Wen Shao, Céline Besnard, Laure Guénée, Clément Mazet|2020|J.Am.Chem.Soc.|142|16486|doi:10.1021/jacs.0c08319
DOI: 10.5517/ccdc.csd.cc25rw94
title: CCDC 2018946: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25l0g8
title: CCDC 2013309: Experimental Crystal Structure Determination

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DOI: 10.5517/ccdc.csd.cc25ncw3
title: CCDC 2015585: Experimental Crystal Structure Determination

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