cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.13507590.v2
title: Bilingual_Translation_Interlocutor-context.csv

description: This dataset contains reaction time, and accuracy data of a study conducted on thirty nine participants in the University of Hyderabad, India. The aim of the study was to investigate the role of interlocutor-context on cross-linguistic lexical activation and translation in bilinguals. The participants were Hindi-English bilinguals. Their first language was Hindi, and second language was English.
DOI: 10.6084/m9.figshare.13507590.v1
title: Bilingual_Translation_Interlocutor-context.csv

description: This dataset contains reaction time, and accuracy data of a study conducted on thirty nine participants in the University of Hyderabad, India. The aim of the study was to investigate the role of interlocutor-context on cross-linguistic lexical activation and translation in bilinguals. The participants were Hindi-English bilinguals. Their first language was Hindi, and second language was English.
DOI: 10.15468/an9jd5
title: Epimecia tekes, a new species from south-eastern Kazakhstan (Lepidoptera Noctuidae, Oncocnemidinae)

description: This dataset contains the digitized treatments in Plazi based on the original journal article Benedek, Bal?zs, Babics, J?nos, Volynkin, Anton V., Saldaitis, Aidas (2020): Epimecia tekes, a new species from south-eastern Kazakhstan (Lepidoptera Noctuidae, Oncocnemidinae). Zootaxa 4845 (2): 288-292, DOI: https://doi.org/10.11646/zootaxa.4845.2.10
DOI: 10.25919/p2ke-k523
title: High resolution nitrogen runoff chemical data from alternate furrow flood irrigated cotton field

description: This collection contains nitrogen runoff data for an alternate furrow flood irrigation system. Data contains concentration and flow values, disaggregated by furrow type for irrigations 1, 2 and 4 of a single season. Chemical data includes pH, electrical conductivity (EC) and water temperature measured in situ, and nitrate—N (NO3—N), ammonium—N (NH4—N), urea—N and total dissolved N (TDN) measured from collected samples. Chemical sampling occurred at 30 minute intervals within irrigations. Flow data was measured at 30 second intervals. Data was performed at the Australian Cotton Research Institute (ACRI), Narrabri Australia.
DOI: 10.7910/dvn/fu2zr2
title: Replication Data for: Examining Democratic and Republican National Committee Party Branding Activity, 1953-2012

description: Recent scholarship on the role of national party organizations in American politics – specifically, the Democratic and Republican National Committees – has argued that political science research has thus far undervalued the importance of these organizations. Specifically, these studies have noted the importance party leaders – including presidents, Congressional leaders, and governors – place on the national committees’ role in trying to shape a party brand. Notably, these studies are all qualitative historical accounts – perhaps because finding consistent quantitative data from within the DNC and RNC across time is very difficult. In this paper, I present a new quantitative data set measuring DNC and RNC activity on the basis of an external source: New York Times coverage of national committee activity in the period 1953-2012. I use this data to test the claim that, while ‘party branding’ is a core national committee goal, the DNC and RNC do not consistently engage in it. Specifically, I find that monthly New York Times references of party branding operations decline for parties that hold the White House. Notably, coverage of other service operations does not decline, suggesting committees specifically step back their branding role when their party has control of the executive branch of the federal government.
DOI: 10.15468/9mz29n
title: New species of Thoonchus (Enoplida, Enchelidiidae) from the Yellow Sea and redescription of T. giganticus Belogurova et al., 1986

description: This dataset contains the digitized treatments in Plazi based on the original journal article Zograf, Julia K., Pavlyuk, Olga N., Trebukhova, Yulia A., Baoquan, Li (2020): New species of Thoonchus (Enoplida, Enchelidiidae) from the Yellow Sea and redescription of T. giganticus Belogurova et al., 1986. Zootaxa 4845 (2): 239-252, DOI: https://doi.org/10.11646/zootaxa.4845.2.5
DOI: 10.15468/ekmzda
title: Madangella koumacensis, a new species of palaemonid shrimps (Decapoda Palaemonidae) from New Caledonia

description: This dataset contains the digitized treatments in Plazi based on the original journal article Frolov?, Pavl?na, ?uri?, Zden?k (2020): Madangella koumacensis, a new species of palaemonid shrimps (Decapoda Palaemonidae) from New Caledonia. Zootaxa 4845 (2): 253-263, DOI: https://doi.org/10.11646/zootaxa.4845.2.6
DOI: 10.15468/xarbnn
title: Moth flies (Diptera, Psychodidae) living in the dark of caves in the Dinaric Karst

description: This dataset contains the digitized treatments in Plazi based on the original journal article Wagner, R?diger, Rada, Ton?i (2020): Moth flies (Diptera, Psychodidae) living in the dark of caves in the Dinaric Karst. Zootaxa 4845 (2): 275-282, DOI: https://doi.org/10.11646/zootaxa.4845.2.8
DOI: 10.15468/rbvwez
title: First report of the tribe Chlidanotini (Lepidoptera: Tortricidae) from Korea, with the description of a new genus and species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Byun, Bong-Kyu (2020): First report of the tribe Chlidanotini (Lepidoptera: Tortricidae) from Korea, with the description of a new genus and species. Zootaxa 4845 (2): 283-287, DOI: https://doi.org/10.11646/zootaxa.4845.2.9
DOI: 10.5281/zenodo.4406623
title: Training data for 'Genome annotation with Maker' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with Maker. It is based on data used in another Maker tutorial. The full genome was downloaded from NCBI, and mitochondria sequence removed from it for simplicity.
DOI: 10.5281/zenodo.1402566
title: Training data for 'Genome annotation with Maker' tutorial (Galaxy Training Material)

description: The data provided here are part of a Galaxy Training Network tutorial for genome annotation with Maker. It is based on data used in another Maker tutorial. The full genome was downloaded from NCBI, and mitochondria sequence removed from it for simplicity.
DOI: 10.5281/zenodo.4131137
title: Silica Nanoparticles Enhance Disease Resistance in Arabidopsis Plants - RAW DATA

description: These datasets are used to produce the figures/graphs published in our article <strong>Silica Nanoparticles Enhance Disease Resistance in <em>Arabidopsis</em> Plants</strong> in <em>Nat. Nanotechnol.</em> (2020). https://doi.org/10.1038/s41565-020-00812-0 <strong>Correspondence: </strong> fabienne.schwab@alumni.ethz.ch, Tel: +41 78 736 00 19; m.shetehy@uky.edu, Tel. +41 76 455 56 02 Further raw data related to qPCR and microbiology are available upon reasonable request from M.H. El‑Shetehy. Further raw data related to the nanoparticles and plant microscopy are available upon reasonable request by F. Schwab. <strong>Abstract</strong> In plants, pathogen attack can induce an immune response known as systemic acquired resistance (SAR) that protects against a broad spectrum of pathogens. In the search for safer agrochemicals, silica nanoparticles (SiO<sub>2</sub>‑NPs, food additive E551) have recently been proposed as a new tool. However, initial results are controversial, and the molecular mechanisms of SiO<sub>2</sub>‑NP-induced disease resistance are unknown. Here, we show that SiO<sub>2</sub>‑NPs, as well as soluble orthosilicic acid (Si(OH)<sub>4</sub>), can induce SAR in a dose-dependent manner, that involves the defence hormone salicylic acid. Nanoparticle uptake and action occurred exclusively through stomata (leaf pores facilitating gas exchange) and involved extracellular adsorption in leaf air spaces of the spongy mesophyll. In contrast to treatment with SiO<sub>2</sub>‑NPs, induction of SAR by Si(OH)<sub>4 </sub>was problematic, since high concentrations caused stress. We conclude that SiO<sub>2</sub>‑NPs have the potential to serve as an inexpensive, highly efficient, safe, and sustainable alternative for plant disease protection.
description: M.E. S. was supported by the Swiss State Secretariat for Education, Research, and Innovation by a Swiss Government Excellence Scholarship for Foreign Scholars. F.S. and M.M. were supported by the Swiss National Science Foundation under the Ambizione grant "Enhancing Legume Defenses" (168187) and Innosuisse (project 38515.1 IP-EE). We are grateful to Nicola F. Schäppi for his help with the graphic design and to Martine Schorderet for excellent technical assistance with microtoming. This research was also supported by the National Center of Competence in Research "Bioinspired Materials", the Adolphe Merkle Foundation, and the University of Fribourg.
description: {"references": ["El-Shetehy, M., Moradi, A., Maceroni, M. et al. Silica nanoparticles enhance disease resistance in Arabidopsis plants. Nat. Nanotechnol. (2020). https://doi.org/10.1038/s41565-020-00812-0"]}
DOI: 10.5281/zenodo.4131136
title: Silica Nanoparticles Enhance Disease Resistance in Arabidopsis Plants - RAW DATA

description: These datasets are used to produce the figures/graphs published in our article <strong>Silica Nanoparticles Enhance Disease Resistance in <em>Arabidopsis</em> Plants</strong> in <em>Nat. Nanotechnol.</em> (2020). https://doi.org/10.1038/s41565-020-00812-0 <strong>Correspondence: </strong> fabienne.schwab@alumni.ethz.ch, Tel: +41 78 736 00 19; m.shetehy@uky.edu, Tel. +41 76 455 56 02 Further raw data related to qPCR and microbiology are available upon reasonable request from M.H. El‑Shetehy. Further raw data related to the nanoparticles and plant microscopy are available upon reasonable request by F. Schwab. <strong>Abstract</strong> In plants, pathogen attack can induce an immune response known as systemic acquired resistance (SAR) that protects against a broad spectrum of pathogens. In the search for safer agrochemicals, silica nanoparticles (SiO<sub>2</sub>‑NPs, food additive E551) have recently been proposed as a new tool. However, initial results are controversial, and the molecular mechanisms of SiO<sub>2</sub>‑NP-induced disease resistance are unknown. Here, we show that SiO<sub>2</sub>‑NPs, as well as soluble orthosilicic acid (Si(OH)<sub>4</sub>), can induce SAR in a dose-dependent manner, that involves the defence hormone salicylic acid. Nanoparticle uptake and action occurred exclusively through stomata (leaf pores facilitating gas exchange) and involved extracellular adsorption in leaf air spaces of the spongy mesophyll. In contrast to treatment with SiO<sub>2</sub>‑NPs, induction of SAR by Si(OH)<sub>4 </sub>was problematic, since high concentrations caused stress. We conclude that SiO<sub>2</sub>‑NPs have the potential to serve as an inexpensive, highly efficient, safe, and sustainable alternative for plant disease protection.
description: M.E. S. was supported by the Swiss State Secretariat for Education, Research, and Innovation by a Swiss Government Excellence Scholarship for Foreign Scholars. F.S. and M.M. were supported by the Swiss National Science Foundation under the Ambizione grant "Enhancing Legume Defenses" (168187) and Innosuisse (project 38515.1 IP-EE). We are grateful to Nicola F. Schäppi for his help with the graphic design and to Martine Schorderet for excellent technical assistance with microtoming. This research was also supported by the National Center of Competence in Research "Bioinspired Materials", the Adolphe Merkle Foundation, and the University of Fribourg.
description: {"references": ["El-Shetehy, M., Moradi, A., Maceroni, M. et al. Silica nanoparticles enhance disease resistance in Arabidopsis plants. Nat. Nanotechnol. (2020). https://doi.org/10.1038/s41565-020-00812-0"]}
DOI: 10.6084/m9.figshare.13507662.v1
title: Observed NIC on the continental shelf of East China Sea.mat

description: The original data was collected using a bottom-moored ADCP on the continental shelf of the East China Sea. The Near Inertial Current (NIC) data was extracted from the observed horizontal velocity using a bandpass filter in the frequency range between 0.8 f and 1.2 f (here f represents the local inertial frequency, which is 0.9997 cycles per day in our observation site).<br><br>The description of the data structure are as follows:Time: Observation time from 18:00, September 7, 2013 in hours.Depth: depth in m.U: east-west near inertial current in m/s.V: south-north near inertial current in m/s.<br>
DOI: 10.6073/pasta/5b2a3a76e463dc4de00024c50eca9c58
title: Total and non-hydrolyzable soil carbon and nitrogen:BioCON : Biodiversity, Elevated CO2, and N Enrichment

description: BioCON (Biodiversity, CO2, and Nitrogen) is an ecological experiment started in 1997 at the University of Minnesota's Cedar Creek Ecosystem Science Reserve. BioCON's goal is to explore the ways in which plant communities will respond to three environmental changes that are known to be occurring on a global scale: increasing nitrogen deposition, increasing atmospheric CO2, and decreasing biodiversity. Why Biodiversity, CO2, and Nitrogen? While there are many uncertainties in global change biology, there are also some well documented facts. Some of these are: 1. The amount of carbon dioxide (CO2) in the atmosphere is rising. Since the industrial revolution, the CO2 concentration in the atmosphere has increased from approximately 275 parts per million (ppm) to about 378 ppm today. This has been largely the result of fossil fuel burning. It is expected that CO2 levels will continue to rise, and that by the year 2050 these levels will be approximately 550 ppm. CO2 is the raw material for photosynthesis and is known to affect plant growth and development. 2. The amount of nitrogen moving through terrestrial ecosystems has increased in the recent past. While natural "background" levels of nitrogen fixation have remained constant, human additions to the system through fertilizer production and fossil fuel use have increased dramatically. Nitrogen is a key nutrient for plant growth and plays a critical role in plant community structure and composition in many environments. 3. Biodiversity levels are falling. While the research and data are not as complete as they are for CO2 and nitrogen, data indicate that the number of species globally, is being reduced. Perhaps more important for ecosystem function, diversity levels on local to regional scales have fallen due to land use change, biotic invasion and many other drivers. While much is known about how each of these factors affects ecosystem functioning, many questions remain. There is also little data on how these issues affect each other, and what emergent qualities may arise when systems are exposed to these changes simultaneously. BioCON seeks to address these issues with this multi-year study at Cedar Creek Ecosytem Science Preserve.
DOI: 10.6084/m9.figshare.13507662.v2
title: Observed NIC on ECS.mat

description: The Near Inertial Current (NIC) data was extracted from the observed horizontal velocity using a bandpass filter in the frequency range between 0.8 f and 1.2 f (here f represents the local inertial frequency, which is 0.9997 cycles per day in our observation site). The original data was collected using a bottom-moored ADCP on the continental shelf of the East China Sea.<br><br><br>The description of the data structure are as follows:Time: Observation time from 18:00, September 7, 2013 in hours.Depth: depth in m.U: east-west near inertial current in m/s.V: south-north near inertial current in m/s.<br>
DOI: 10.5281/zenodo.4405140
title: Deutschsprachige Indienreiseberichte um 1900: Korpus von ca. 40 Texten (PDF)

description: In diesem Ordner befindet sich das Untersuchungskorpus des folgenden Buchs: https://www.transcript-verlag.de/978-3-8376-5227-7/topik-zwischen-modellierung-und-operationalisierung/ (aus urheberrechtlichen Gründen im "restricted access").
DOI: 10.5281/zenodo.4405139
title: Deutschsprachige Indienreiseberichte um 1900: Korpus von ca. 40 Texten (PDF)

description: In diesem Ordner befindet sich das Untersuchungskorpus des folgenden Buchs: https://www.transcript-verlag.de/978-3-8376-5227-7/topik-zwischen-modellierung-und-operationalisierung/ (aus urheberrechtlichen Gründen im "restricted access").
DOI: 10.5517/ccdc.csd.cc223r87
title: CCDC 1910228: Experimental Crystal Structure Determination

description: Related Article: Hong‐Xia Ren,  Ying Zhang,  Hui‐Ling Wang|2020|J.Heterocycl.Chem.|57|4322|doi:10.1002/jhet.4139
DOI: 10.5517/ccdc.csd.cc23vfv8
title: CCDC 1961830: Experimental Crystal Structure Determination

description: Related Article: Álvaro Dávila García, Sylvain Bernès, Fernando Sartillo‐Piscil, Rosa Luisa Meza‐León|2020|J.Heterocycl.Chem.|57|4373|doi:10.1002/jhet.4137
DOI: 10.5517/ccdc.csd.cc23vfw9
title: CCDC 1961831: Experimental Crystal Structure Determination

description: Related Article: Álvaro Dávila García, Sylvain Bernès, Fernando Sartillo‐Piscil, Rosa Luisa Meza‐León|2020|J.Heterocycl.Chem.|57|4373|doi:10.1002/jhet.4137
DOI: 10.5517/ccdc.csd.cc23y609
title: CCDC 1964470: Experimental Crystal Structure Determination

description: Related Article: Wen-Bin Cao, Shijun Li, Meng-Meng Xu, Haiyan Li, Xiao-Ping Xu, Yu Lan, Shun-Jun Ji|2020|Angew.Chem.,Int.Ed.|59|21425|doi:10.1002/anie.202008110
DOI: 10.5517/ccdc.csd.cc24fjch
title: CCDC 1979206: Experimental Crystal Structure Determination

description: Related Article: Hui Sun, Guannan Cui, Huijian Shang, Bin Cui|2020|J.Org.Chem.|85|15241|doi:10.1021/acs.joc.0c02086
DOI: 10.5517/ccdc.csd.cc25hnq2
title: CCDC 2011054: Experimental Crystal Structure Determination

description: Related Article: Chandan Kr Barik, Rakesh Ganguly, Jian Ming Kwan, Zhiyong Lam, Si Yuan Wong, Weng Kee Leong|2021|Polyhedron|193|114890|doi:10.1016/j.poly.2020.114890
DOI: 10.5517/ccdc.csd.cc25hnr3
title: CCDC 2011055: Experimental Crystal Structure Determination

description: Related Article: Chandan Kr Barik, Rakesh Ganguly, Jian Ming Kwan, Zhiyong Lam, Si Yuan Wong, Weng Kee Leong|2021|Polyhedron|193|114890|doi:10.1016/j.poly.2020.114890
DOI: 10.5517/ccdc.csd.cc25hs1j
title: CCDC 2011157: Experimental Crystal Structure Determination

description: Related Article: Thirupathi Reddy Penjarla, Maheshwar Kundarapu, Krishnan Rangan, Anupam Bhattacharya|2020|Org.Biomol.Chem.|18|9623|doi:10.1039/D0OB01903H
DOI: 10.5517/ccdc.csd.cc25hs2k
title: CCDC 2011158: Experimental Crystal Structure Determination

description: Related Article: Thirupathi Reddy Penjarla, Maheshwar Kundarapu, Krishnan Rangan, Anupam Bhattacharya|2020|Org.Biomol.Chem.|18|9623|doi:10.1039/D0OB01903H
DOI: 10.5517/ccdc.csd.cc25kz2t
title: CCDC 2013266: Experimental Crystal Structure Determination

description: Related Article: Irina V. Klimovich, Alexander V. Zhilenkov, Lidiya I. Кuznetsova, Lubov A. Frolova, Olga R. Yamilova, Sergey I. Troyanov, Konstantin A. Lyssenko, Pavel A. Troshin|2020|Dyes Pigm.|186|108966|doi:10.1016/j.dyepig.2020.108966
DOI: 10.5517/ccdc.csd.cc25kz3v
title: CCDC 2013267: Experimental Crystal Structure Determination

description: Related Article: Irina V. Klimovich, Alexander V. Zhilenkov, Lidiya I. Кuznetsova, Lubov A. Frolova, Olga R. Yamilova, Sergey I. Troyanov, Konstantin A. Lyssenko, Pavel A. Troshin|2020|Dyes Pigm.|186|108966|doi:10.1016/j.dyepig.2020.108966
DOI: 10.5517/ccdc.csd.cc25p5qs
title: CCDC 2016355: Experimental Crystal Structure Determination

description: Related Article: Daniel J. Martin, Samantha I. Johnson, Brandon Q. Mercado, Simone Raugei, James M. Mayer|2020|Inorg.Chem.|59|17402|doi:10.1021/acs.inorgchem.0c02703
DOI: 10.5517/ccdc.csd.cc25scv6
title: CCDC 2019428: Experimental Crystal Structure Determination

description: Related Article: Andreas Berkefeld, Michael Roemelt, Christina Römelt, Hartmut Schubert, Gunnar Jeschke|2020|Inorg.Chem.|59|17234|doi:10.1021/acs.inorgchem.0c02467
DOI: 10.5517/ccdc.csd.cc25fcll
title: CCDC 2008849: Experimental Crystal Structure Determination

description: Related Article: Tunde L. Yusuf, Taiwo W. Quadri, Gideon F. Tolufashe, Lukman O. Olasunkanmi, Eno E. Ebenso, Werner E. van Zyl|2020|RSC Advances|10|41967|doi:10.1039/D0RA07770D
DOI: 10.5517/ccdc.csd.cc260tmp
title: CCDC 2026582: Experimental Crystal Structure Determination

description: Related Article: Andrey N. Usoltsev, Nikita A. Korobeynikov, Alexander S. Novikov, Pavel E. Plyusnin, Boris A. Kolesov, Vladimir P. Fedin, Maxim N. Sokolov, Sergey A. Adonin|2020|Inorg.Chem.|59|17320|doi:10.1021/acs.inorgchem.0c02599
DOI: 10.5517/ccdc.csd.cc260tln
title: CCDC 2026581: Experimental Crystal Structure Determination

description: Related Article: Andrey N. Usoltsev, Nikita A. Korobeynikov, Alexander S. Novikov, Pavel E. Plyusnin, Boris A. Kolesov, Vladimir P. Fedin, Maxim N. Sokolov, Sergey A. Adonin|2020|Inorg.Chem.|59|17320|doi:10.1021/acs.inorgchem.0c02599
DOI: 10.5517/ccdc.csd.cc25fb87
title: CCDC 2008808: Experimental Crystal Structure Determination

description: Related Article: C.J. McMonagle, D.R. Allan, M.R. Warren, K.V. Kamenev, G.F. Turner, S.A. Moggach|2020|J.Appl.Crystallogr.|53|1519|doi:10.1107/S1600576720013710
DOI: 10.6084/m9.figshare.13507662
title: Observed NIC on ECS.mat

description: The Near Inertial Current (NIC) data was extracted from the observed horizontal velocity using a bandpass filter in the frequency range between 0.8 f and 1.2 f (here f represents the local inertial frequency, which is 0.9997 cycles per day in our observation site). The original data was collected using a bottom-moored ADCP on the continental shelf of the East China Sea.<br><br><br>The description of the data structure are as follows:Time: Observation time from 18:00, September 7, 2013 in hours.Depth: depth in m.U: east-west near inertial current in m/s.V: south-north near inertial current in m/s.<br>
DOI: 10.6084/m9.figshare.13507662.v3
title: Observed NIC on ECS.mat

description: The Near Inertial Current (NIC) data was extracted from the observed horizontal velocity using a bandpass filter in the frequency range between 0.8 f and 1.2 f (here f represents the local inertial frequency, which is 0.9997 cycles per day in our observation site). The original data was collected using a bottom-moored ADCP on the continental shelf of the East China Sea.<br><br><br>The description of the data structure are as follows:Time: Observation time from 18:00, September 7, 2013 in hours.Depth: depth in m.U: east-west near inertial current in m/s.V: south-north near inertial current in m/s.<br>