cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19208613
title: parsed_redd_-00000-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208613.v1
title: parsed_redd_-00000-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208619
title: parsed_redd_-00004-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208619.v1
title: parsed_redd_-00004-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208622
title: parsed_redd_-00004-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208622.v1
title: parsed_redd_-00004-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208634
title: parsed_redd_-00002-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208634.v1
title: parsed_redd_-00002-of-00005.csv

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19208610.v1
title: parsed_redd_-00002-of-00005.json

description: The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.The dataset of the paper: ``Dataset and Case Studies for Visual Near-Duplicates Detection in the Context of Social Media'', by Hana Matatov, Mor Naaman, and Ofra Amir.<br>See the Github repository for details.
DOI: 10.6084/m9.figshare.19367864
title: Data Sheet.pdf

description: Data from the content analysis of university question papers in Forensic Medicine & toxicology
DOI: 10.6084/m9.figshare.19367864.v1
title: Data Sheet.pdf

description: Data from the content analysis of university question papers in Forensic Medicine & toxicology
DOI: 10.5285/a9832e62-4054-42ba-9251-bf48dd363ef6
title: Quaternary deposits summary lithologies across the UK Continental Shelf (2014 Version)

description: The Quaternary deposits summary lithologies dataset is a digital geological map across the bulk of the UK Continental Shelf (UKCS), for areas up to a water depth of 200 m, which groups the deposits into classes based on similar engineering geology characteristics. 
The map is derived from (unpublished) BGS 1:1,000,000 scale Quaternary digital geological mapping, so is effective at that scale. The map was produced in 2014 in collaboration with, and co-funded by, The Crown Estate as part of a wider commissioned project to assess seabed geological constraints on engineering infrastructure across the UKCS. 
The divisions on the map combine the Quaternary deposits into 7 categories of similar strength and lithological variability, each with a ‘Category’ title that summarises their main lithological character: diamict; firm to hard interbedded (layered); firm to hard mud; sand and gravel; soft interbedded; soft mud; undifferentiated. These categories can be used as a basis for assessing, in conjunction with a range of other geological factors, the geological constraints on engineering structures at or close to the seabed.
The data are held by the BGS as an ESRI ArcGIS Shapefile.
DOI: 10.5285/0f755bcb-8291-4c43-8ad3-4032fa8aca2f
title: Bedrock summary lithologies across the UK Continental Shelf (2014 Version)

description: The Bedrock summary lithologies dataset is digital geological map across the bulk of the UK Continental Shelf (UKCS), for areas up to a water depth of 200m, which groups the bedrock lithologies (rock types) into classes based on similar engineering geology characteristics. 
The map is derived from the 1:250,000 scale digital bedrock map of the UKCS, called DiGRock250k, which is available separately from the BGS. The map was produced in 2014 in collaboration with, and co-funded by, The Crown Estate as part of a wider commissioned project to assess seabed geological constraints on engineering infrastructure across the UKCS. 
The divisions on the map combine the bedrock formations into 8 classes (with several subdivisions) of similar strength and lithological variability, each with a ‘Category’ title that summarises their main lithological character: Class1 – Igneous; Class 2 - Tertiary Sandstone and Limestone; Class 2.5 - Tertiary Sandstone and Limestone Interbedded; Class 3 - Tertiary Mudstone; Class 4 - Mesozoic Sandstone and Limestone; Class 4.5 - Mesozoic Sandstone and Limestone Interbedded; Class 5 - Mesozoic Mudstone; Class 6 – Chalk; Class 7 – Metamorphic; Class 8 - Palaeozoic Sedimentary.
The data are held by the BGS as an ESRI ArcGIS Shapefile.
DOI: 10.5285/0cc60652-c02c-4931-b5bf-def9299b68f2
title: Quaternary deposits thickness across the UK Continental Shelf (2014 Version)

description: The Quaternary deposits thickness dataset is a digital geological map across the bulk of the UK Continental Shelf (UKCS), for areas up to a water depth of 200m, which shows the thickness of the deposits over bedrock in three categories: <5m, 5-50m, and >50m Quaternary cover. These depth bands were picked because they represent the horizons that have impact on offshore infrastructure deployment. 
The map is derived from (unpublished) BGS 1:1000000 scale Quaternary digital geological mapping. The map was produced in 2014 in collaboration with, and co-funded by, The Crown Estate as part of a wider commissioned project to assess seabed geological constraints on engineering infrastructure across the UKCS. 
The data are held by the BGS as an ESRI ArcGIS Shapefile.
DOI: 10.6084/m9.figshare.19358408.v2
title: The fear of war scale (FOWARS): development and initial validation

description: The emergence of the Ukraine-Russia war and its consequences has led to fears, worries, and anxiety among individuals worldwide, mostly, but not exclusively in the immediate neighbors of these fighting countries. The present study aims at developing the fear of war scale (FOWARS) so as to fill the gap in the literature that currently/presently lacks proper assessment tools for measuring the fear of war orwartime circumstances. The sample consists of N = 722 Hungarian speaking participants, mainly from Romania and Hungary,, addressed online for the survey. Exploratory factor analysis evinced a two-factor solution of the scale, and after the exclusion of cross loading items, the final version was confirmed by confirmatory factor analysis. The 13-items fear of war scale (FOWARS) has robust psychometric properties and proves appropriate to assess the fear of war among the general population on two factors, namely emotional and physiological dimensions of fear. The scale is available in three different languages: English, Hungarian and Romanian<br>
DOI: 10.6084/m9.figshare.19367888
title: Receptive field area_nyxnob.xlsx

description: <b>Abstract: </b>Patients with congenital nystagmus, unvoluntary eye movements, often have a reduced visual acuity. Some of these patients have a retinal-specific mutation in the protein nyctalopin, which is also present in the <i>Nyx<sup>nob</sup></i> mouse. In these mice, retinal ganglion cells (RGCs) have oscillatory activity, which leads to expanded axonal projections towards the dLGN and consequently to a desegregation of retinal projections to the brain [1]. In this study, we investigate whether the receptive fields of <i>Nyx<sup>nob</sup></i> RGCs have also expanded by measuring the size of their receptive fields using MEA recordings. Contrary to our expectation, relative to wild-type (WT) mice we found receptive field sizes in the <i>Nyx<sup>nob</sup></i> retina had not increased but instead had decreased for green-light preferring RGCs. Additionally, we also found the receptive fields of UV-light preferring RGCs are larger than green-light preferring RGCs in both WT and <i>Nyx<sup>nob</sup></i> mouse.
DOI: 10.6084/m9.figshare.19367888.v1
title: Receptive field area_nyxnob.xlsx

description: <b>Abstract: </b>Patients with congenital nystagmus, unvoluntary eye movements, often have a reduced visual acuity. Some of these patients have a retinal-specific mutation in the protein nyctalopin, which is also present in the <i>Nyx<sup>nob</sup></i> mouse. In these mice, retinal ganglion cells (RGCs) have oscillatory activity, which leads to expanded axonal projections towards the dLGN and consequently to a desegregation of retinal projections to the brain [1]. In this study, we investigate whether the receptive fields of <i>Nyx<sup>nob</sup></i> RGCs have also expanded by measuring the size of their receptive fields using MEA recordings. Contrary to our expectation, relative to wild-type (WT) mice we found receptive field sizes in the <i>Nyx<sup>nob</sup></i> retina had not increased but instead had decreased for green-light preferring RGCs. Additionally, we also found the receptive fields of UV-light preferring RGCs are larger than green-light preferring RGCs in both WT and <i>Nyx<sup>nob</sup></i> mouse.
DOI: 10.6084/m9.figshare.19367927
title: Supplementary Material for: Gestational Age-Dependent Reference Ranges for Albumin Levels in Cord Serum

description: <b><i>Background:</i></b> To diagnose hypoalbuminemia in newborns, it is essential to establish a definition applicable to those with a different gestational age (GA) and clinical conditions. A positive correlation between serum albumin levels and GA has been reported, but the study was limited to small numbers of newborns. We therefore investigated the GA-dependent reference ranges for serum albumin levels using cord venous blood (UC-Alb levels) from a large number of newborns delivered at a tertiary perinatal center. <b><i>Methods:</i></b> Albumin levels were assessed in 2,917 newborns at 22–41 weeks of GA after exclusion of those with congenital disorders. Linear regression analysis was used to correlate GA and UC-Alb levels. After calculation of the percentile values of UC-Alb levels for each week of GA, the distributions were approximated by the least-squares method. To validate the determined linear approximation of the 5%ile value, the UC-Alb levels in newborns with hydrops fetalis and gastroschisis were used. <b><i>Results:</i></b> A significant positive correlation between GA and UC-Alb levels was found (<i>r</i><sub>s</sub> = 0.701, <i>p</i> &lt; 0.001, respectively). The distribution of the 5%ile of UC-Alb levels (<i>Y</i>) by GA (<i>X</i>) was approximated as a straight line (<i>Y</i> = 0.062 × <i>X</i> + 0.326, <i>R</i><sup>2</sup> = 0.951). Among the 59 and 18 newborns with hydrops fetalis and gastroschisis, 51 (86.4%) and 15 (83.3%), respectively, were below the line. <b><i>Conclusions:</i></b> We established GA-dependent reference ranges for serum albumin levels, which may be useful to accurately diagnose hypoalbuminemia in newborns.
DOI: 10.5517/ccdc.csd.cc28f530
title: CCDC 2098021: Experimental Crystal Structure Determination

description: Related Article: Kenji Yamashita, Ryo Hirokawa, Mamoru Ichikawa, Tatsunari Hisanaga, Yoshihiro Nagao, Ryo Takita, Kohei Watanabe, Yuji Kawato, Yoshitaka Hamashima|2022|J.Am.Chem.Soc.|144|3913|doi:10.1021/jacs.1c11816
DOI: 10.5517/ccdc.csd.cc28vkh6
title: CCDC 2110898: Experimental Crystal Structure Determination

description: Related Article: Kento Kosugi, Hina Kashima, Mio Kondo, Shigeyuki Masaoka|2022|Chem.Commun.|58|2975|doi:10.1039/D1CC05880K
DOI: 10.5517/ccdc.csd.cc28xhh6
title: CCDC 2112758: Experimental Crystal Structure Determination

description: Related Article: Anna Lo, David A. Gutierrez, Garrett Toth-Williams, James C. Fettinger, Jared T. Shaw|2022|J.Org.Chem.|87|2773|doi:10.1021/acs.joc.1c02691
DOI: 10.5517/ccdc.csd.cc28xhj7
title: CCDC 2112759: Experimental Crystal Structure Determination

description: Related Article: Anna Lo, David A. Gutierrez, Garrett Toth-Williams, James C. Fettinger, Jared T. Shaw|2022|J.Org.Chem.|87|2773|doi:10.1021/acs.joc.1c02691
DOI: 10.5517/ccdc.csd.cc28xxdj
title: CCDC 2113158: Experimental Crystal Structure Determination

description: Related Article: Zhe Fan, Shao-Fei Ni, Jin-Yu Pang, Li-Ting Guo, Hao Yang, Ke Li, Cheng Ma, Ji-Kai Liu, Bin Wu, Jin-Ming Yang|2022|J.Org.Chem.|87|3066|doi:10.1021/acs.joc.1c02849
DOI: 10.5517/ccdc.csd.cc28y8xf
title: CCDC 2113515: Experimental Crystal Structure Determination

description: Related Article: haiyang huang|2021|CSD Communication|||
description: Related Article: Chenchen Li, Haiyang Huang, Fen Liu, Chengxiong Yuan, Siyu Chen, Yuhui Hua, Haixin Ding, Xian-Rong Song, Qiang Xiao|2022|J.Org.Chem.|87|2632|doi:10.1021/acs.joc.1c02577
DOI: 10.5517/ccdc.csd.cc28y8yg
title: CCDC 2113516: Experimental Crystal Structure Determination

description: Related Article: haiyang huang|2021|CSD Communication|||
description: Related Article: Chenchen Li, Haiyang Huang, Fen Liu, Chengxiong Yuan, Siyu Chen, Yuhui Hua, Haixin Ding, Xian-Rong Song, Qiang Xiao|2022|J.Org.Chem.|87|2632|doi:10.1021/acs.joc.1c02577
DOI: 10.5517/ccdc.csd.cc28y8zh
title: CCDC 2113517: Experimental Crystal Structure Determination

description: Related Article: haiyang huang|2021|CSD Communication|||
description: Related Article: Chenchen Li, Haiyang Huang, Fen Liu, Chengxiong Yuan, Siyu Chen, Yuhui Hua, Haixin Ding, Xian-Rong Song, Qiang Xiao|2022|J.Org.Chem.|87|2632|doi:10.1021/acs.joc.1c02577
DOI: 10.5281/zenodo.6361693
title: Global Shipping Lanes

description: Global Shipping Lanes / Routes GIS Dataset
DOI: 10.6084/m9.figshare.17099657.v1
title: Raw Data

description: Raw data underlying the figures of the paper<br>
DOI: 10.6084/m9.figshare.17057813
title: Data_S5

description: Data S5, SnpEff and the gvcf in Data S1 were used to predict the effect of SNPs and small indels (with “HIGH” or “MODERATE” impact) in the coding sequence of genes located at QTL1 and QTL2 of BSA MR-VL and BSA MAR-AB. SnpSift was subsequenty used to retain only variants where the variant allele was present in the resistant parental strain, absent in the susceptible parental strain and enriched in all selected populations (i.e. allelic depth of variant allele being higher than the allelic depth of the reference allele).
DOI: 10.6084/m9.figshare.17057813.v2
title: Data_S5

description: Data S5, SnpEff and the gvcf in Data S1 were used to predict the effect of SNPs and small indels (with “HIGH” or “MODERATE” impact) in the coding sequence of genes located at QTL1 and QTL2 of BSA MR-VL and BSA MAR-AB. SnpSift was subsequenty used to retain only variants where the variant allele was present in the resistant parental strain, absent in the susceptible parental strain and enriched in all selected populations (i.e. allelic depth of variant allele being higher than the allelic depth of the reference allele).
DOI: 10.6084/m9.figshare.17057813.v1
title: File_S5

description: File S5, SnpEff and File S1 were used to predict the effect of SNPs and small indels (with “HIGH” or “MODERATE” impact) in the coding sequence of genes located at QTL1 and QTL2 of BSA MR-VL and BSA MAR-AB. SnpSift was subsequenty used to retain only variants where the variant allele was present in the resistant parental strain, absent in the susceptible parental strain and enriched in all selected populations (i.e. allelic depth of variant allele being higher than the allelic depth of the reference allele).
DOI: 10.6084/m9.figshare.17057810
title: Data_S4

description: Data S4, output of of the RUN_BSA1.02.py script for BSA MAR-AB.
DOI: 10.6084/m9.figshare.17057810.v2
title: Data_S4

description: Data S4, output of of the RUN_BSA1.02.py script for BSA MAR-AB.
DOI: 10.6084/m9.figshare.17057810.v1
title: File_S4

description: File S4, output of of the RUN_BSA1.02.py script for BSA MAR-AB.
DOI: 10.6084/m9.figshare.17057807
title: Data_S3

description: Data S3, output of the RUN_BSA1.02.py script for BSA MR-VL.
DOI: 10.6084/m9.figshare.17057807.v2
title: Data_S3

description: Data S3, output of the RUN_BSA1.02.py script for BSA MR-VL.
DOI: 10.6084/m9.figshare.17057807.v1
title: File_S3

description: File S3, output of the RUN_BSA1.02.py script for BSA MR-VL.
DOI: 10.6084/m9.figshare.17057801
title: Data_S2

description: Data S2, RUN_BSA1.02.py commands using the gvcf in Data S1 as input.
DOI: 10.6084/m9.figshare.17057801.v3
title: Data_S2

description: Data S2, RUN_BSA1.02.py commands using the gvcf in Data S1 as input.
DOI: 10.6084/m9.figshare.17057801.v2
title: File_S2

description: File S2, RUN_BSA1.02.py commands using File S1 as input.
DOI: 10.6084/m9.figshare.17057780
title: Data_S1

description: Data S1, genomic VCF (gzipped) used as input for the RUN_BSA1.02.py script available at https://github.com/rmclarklab/BSA.
DOI: 10.6084/m9.figshare.17057780.v2
title: Data_S1

description: Data S1, genomic VCF (gzipped) used as input for the RUN_BSA1.02.py script available at https://github.com/rmclarklab/BSA.
DOI: 10.6084/m9.figshare.17057780.v1
title: File_S1

description: File S1, genomic VCF (gzipped) used for as input for the RUN_BSA1.02.py script available at https://github.com/rmclarklab/BSA.
DOI: 10.5281/zenodo.5720838
title: hueblerstability

description: The dataset complements the research article "Phylogenetic signal and rate of evolutionary change in language structures".
DOI: 10.5281/zenodo.5720837
title: hueblerstability

description: The dataset complements the research article "Phylogenetic signal and rate of evolutionary change in language structures".
DOI: 10.5281/zenodo.5582001
title: RAVLT Trial 1 Raw data

description: Raw data for RAVLT Trial 1
DOI: 10.5281/zenodo.5582000
title: RAVLT Trial 1 Raw data

description: Raw data for RAVLT Trial 1
DOI: 10.5281/zenodo.6361868
title: SingleCellExperiment Object MIS-C data (Hoste et al., 2022)

description: Data from https://rupress.org/jem/article/219/2/e20211381/212918/TIM3-TRBV11-2-T-cells-and-IFN-signature-in
description: {"references": ["Levi Hoste, Lisa Roels, Leslie Naesens, Victor Bosteels, Stijn Vanhee, Sam Dupont, Cedric Bosteels, Robin Browaeys, Niels Vandamme, Kevin Verstaen, Jana Roels, Karel F.A. Van Damme, Bastiaan Maes, Elisabeth De Leeuw, Jozefien Declercq, Helena Aegerter, Leen Seys, Ursula Smole, Sofie De Prijck, Manon Vanheerswynghels, Karlien Claes, Veronique Debacker, Gert Van Isterdael, Lynn Backers, Kathleen B.M. Claes, Paul Bastard, Emmanuelle Jouanguy, Shen-Ying Zhang, Gilles Mets, Joke Dehoorne, Kristof Vandekerckhove, Petra Schelstraete, Jef Willems, MIS-C Clinicians, Patrick Stordeur, Sophie Janssens, Rudi Beyaert, Yvan Saeys, Jean-Laurent Casanova, Bart N. Lambrecht, Filomeen Haerynck, Simon J. Tavernier; TIM3+ TRBV11-2 T cells and IFN\u03b3 signature in patrolling monocytes and CD16+ NK cells delineate MIS-C. J Exp Med 7 February 2022; 219 (2): e20211381. doi: https://doi.org/10.1084/jem.20211381"]}
DOI: 10.6084/m9.figshare.19368008
title: ARAT-HAND-MOTION

description: Hand Motion (Flexion angles & Force)
DOI: 10.6084/m9.figshare.19368008.v1
title: ARAT-HAND-MOTION

description: Hand Motion (Flexion angles & Force)
DOI: 10.6084/m9.figshare.19368026
title: Phylogenetics and taxonomy of <i>Habenaria</i> sect. <i>Micranthae</i> (Orchidaceae), with the description of an overlooked new species from the Espinhaço mountain range, Eastern Brazil

description: <i>Habenaria</i> sect. <i>Micranthae</i> is one of the 14 Neotropical sections of the genus and in its current delimitation, comprises 14 morphologically heterogeneous species. Previous phylogenetic analyses have shown that the section is polyphyletic, so that both the species composition and the morphological characterization of the section are undefined. Furthermore, among the species associated with the section, <i>H. bahiensis</i> has a long history of obscure taxonomic identity and <i>H. gollmeri</i> of undefined phylogenetic relationships. To revise the taxonomic and morphological circumscription of <i>H</i>. sect. <i>Micranthae</i> and clarify the identity of <i>H. bahiensis</i> and phylogenetic relationships of both these species, we collected fresh samples to generate new sequences of DNA markers (ETS, ITS, <i>matK-trnK</i>, and <i>rps16-trnK</i>), performed Bayesian and parsimony analyses, and reassessed morphological features. Based on our analyses, <i>H.</i> sect. <i>Micranthae</i> is re-circumscribed to include eight phylogenetically and morphologically related species, characterized by their sulcate viscidia. Our results indicate that <i>H. gollmeri</i> belongs to <i>H.</i> sect. <i>Micranthae</i> and to the <i>H. parviflora</i> clade. Because none of the samples collected or examined exactly matched the original description of <i>H. bahiensis</i>, the identity of this species remains elusive. Specimens from the Espinhaço mountain range, previously identified as <i>H. bahiensis</i>, represent a new species described here as <i>H. abscondita</i>. In addition, we lectotypified <i>H. maderoi</i> and <i>H. moritzii</i> and proposed the synonymization of this last species with <i>H. armata</i>.