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opencc-by-4.0Feb 2022View details →

Complete Inertial Pose (CIP) Dataset

<pre>Contains the Complete Inertial Pose (CIP) Dataset: 1) Ergowear: acquisition using custom Ergowear wearable system (9 low-cost MARG sensors - MPU9250) and custom software. Contains ~4.17M@100Hz samples of data. 2) MTwAwinda: acquisition using XsensAwinda Mocap system (17 high-end MARG sensors - MTw) and the XsensMtManager software. Contains ~1.0M@60Hz samples of data. Both systems contain synchronized GT data from a commercial MoCap system (XsensAwinda Hardware + XsensAnalyse Software), sampled at 60Hz. </pre> Usage: Follow readme.md on the "code" folder. Updated code, with extended functionality can be accessed on <a href="https://github.com/ManuelPalermo/HumanInertialPose.git">github.com/ManuelPalermo/HumanInertialPose</a>.

opencc-by-4.0Oct 2019View details →

Space of Optimal Solutions of the Correlation Clustering Problem for Complete Signed Graphs

Description. This is the data used in the experiments of the following paper: <ul> <li>N. Arınık, R. Figueiredo, and V. Labatut, “Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs,” Journal of Complex Networks 8(6):cnaa025, 2020. DOI: <a href="http://doi.org/10.1093/comnet/cnaa025">10.1093/comnet/cnaa025</a> ⟨<a href="https://hal.archives-ouvertes.fr/hal-02994011">hal-02994011</a>⟩</li> </ul> This dataset contains: <ul> <li>Plot files used in the article;</li> <li>Input signed networks;</li> <li>All optimal solutions (i.e. optimal solution space) of the corresponding networks;</li> <li>Evaluation files.</li> </ul> Source code. The code source is accessible on GitHub: <a href="https://github.com/CompNet/Sosocc">https://github.com/CompNet/Sosocc</a> Citation. If you use the data or source code, please cite the above article. <code>@Article{Arinik2020,</code> <code>  author    = {Arınık, Nejat and Figueiredo, Rosa and Labatut, Vincent},</code> <code>  title     = {Multiplicity and Diversity: Analyzing the Optimal Solution Space of the Correlation Clustering Problem on Complete Signed Graphs},</code> <code>  journal   = {Journal of Complex Networks},</code> <code>  year      = {2020},</code> <code>  volume    = {8},</code> <code>  number    = {6},</code> <code>  pages     = {cnaa025},</code> <code>  doi       = {10.1093/comnet/cnaa025},</code> <code>}</code> -------------------------------------------- Details. # PLOT FILES * `Figure1.zip`: Figures showing that there might be many distinct optimal solutions of a small-sized network. * `Figure2.zip`: Figures showing that distinct optimal solutions of a given network might be partition-wise very similar or different. * `Figure4: All Results.zip`: Figure 4 in the article contains only a few plots regarding the results for space considerations. This zip file contains all plots, and it is organized by the values of `l0`. In each `l0` folder, the results are shown in three different perspectives: --- Detected Imbalance Percentage vs Graph Order (i.e. number of vertices) --- Prop mispl vs Graph order --- Graph order vs Prop mispl * `workflow.pdf`: The workflow of the methodology used in the article. * `Syrian network With All Solutions.pdf`: Syrian network (on top) with core part information through node colors, and its optimal solutions in which node colors represent partition information (on bottom).   #NETWORKS All networks are in `Input Signed Networks.tar.gz`. Networks are generated through a simple random model (available in https://github.com/CompNet/SignedBenchmark) designed to produce complete (or uncomplete) unweighted networks with built-in modular structure. There are 3 parameters used for the generation: <ol> <li>number of nodes (`n`)</li> <li>initial number of modules (`l0`)</li> <li>proportion of misplaced links, i.e. proportion of frustrated links, (`qm`)</li> </ol> Inside `Input Signed Networks.tar.gz`: NETWORKS |__n=NB-NODE_l0=INIT_NB_MODULE_dens=1.0000 ....|__propMispl=PROP_MISPL ........|__propNeg=PROP_NEG ............|__network=NETWORK_NO - The first hierarchy => the folders are named as follows: n=NB-NODE_l0=INIT-NB-MODULE_dens=1.0000 The number of nodes, the initial number of modules and the network density are given. The network density is always 1, since we treat only complete signed networks. - The second hierarchy => the folders are named as follows: propMispl=PROP_MISPL Proportion of misplaced links is given. - The third hierarchy => the folders are named as follows: propNeg=PROP_NEG Proportion of negative links (`qn`) is specified. `qn` changes depending on `n` and `l0`. Since only complete signed networks are studied, this parameter is automatically computed from the other input parameters. - The fourth hierarchy => the folders are named as follows: network=NETWORK_NO Network numbers are shown. In the end, thre are three file formats describing the same network content: GraphML (.graphml), Pajek NET (.net) or .G format. # PARTITIONS All partition results are in `Partition Results.tar.gz`. Note that all optimal partitions of a signed network are obtained through an exact partitioning method. The code source is accessible here: https://github.com/arinik9/ExCC Inside `Partition Results.tar.gz`: PARTITIONS |__n=NB-NODE_l0=INIT_NB_MODULE_dens=1.0000 ....|__propMispl=PROP_MISPL ........|__propNeg=PROP_NEG ............|__network=NETWORK_NO ................|__"ExCC-all" ....................|__"signed-unweighted" - The first hierarchy => the folders are named as follows: n=NB-NODE_l0=INIT-NB-MODULE_dens=1.0000 - The second hierarchy => the folders are named as follows: propMispl=PROP_MISPL - The third hierarchy => the folders are named as follows: propNeg=PROP_NEG - The fourth hierarchy => the folders are named as follows: network=NETWORK_NO - The fifth hierarchy => the folders are named as follows: "ExCC-all" The name of the partitioning method are shown. Since an exact partitioning method is used to obtain all distinct optimal solutions, it is named as "ExCC-all". - The sixth hierarchy => the folders are named as follows: "signed-unweighted" The type of signed networks are shown: signed and unweighted In the end, the partition results are located, and the file names are named as follows: membership.txt. Note that the first partition result number starts from zero.   # EVALUATIONS Evaluation results related to our plots are in `Evaluation Results.tar.gz. Note that the hierarchy of this folder is the same as that of 'Partitions'. Inside `Evaluation Results.tar.gz`: - `Best-k-for-kmedoids.csv`: It contains three columns. 1) the number of solution classes via kmedoids, 2) the best Silhouette score, 3) the best clustering in terms of Silhouette score, which represents solution classes. - `class-core-part-size-tresh=1.00.csv`. It indicates the proportion of core part size for each solution class. - `exec-time.csv`: It indicates the execution time in seconds. - `imbalance.csv`: It contains the information of imbalance as 1) count and 2) percentage - `nb-solution.csv`: It indicates the total number of solutions -------------------------------------------- Funding: this research benefited from the support of the Agorantic FR 3621, as well as the FMJH Program PGMO and from the support to this program from EDF-THALES-ORANGE-CRITEO.

opencc-by-4.0Oct 2022View details →

MarsQuakeNet: A More Complete Marsquake Catalogue Obtained by Deep Learning Techniques (Supporting Material, JGR Planets)

Supporting Material (JGR Planets, 2022JE007503) - contains: <ul> <li>Extended marsquake catalogue</li> <li>List of all detections</li> <li>Sol-wise predictions</li> <li>Snapshot of MarsQuakeNet code</li> </ul> MarsQuakeNet code (dynamic version) also available from: https://github.com/niko-d/MarsQuakeNet.git

opencc-by-4.0Dec 2021View details →

Text-fig. 7. Vertical polished sections of samples from selected layers. a: Layer No. 2, completely bioturbated, collection of the Czech Geological Survey (abbr. BK), BK 7; b: Layer No. 3, low: nearly completely bioturbated, upper: cross- to ripple bedding, weakly bioturbated, BK 6; c: Layer No. 7, incompletely bioturbated siltstone/mudstone, BK 5; d: Layer No. 8, low: totally bioturbated background with Zoophycos ichnofabric, upper: spotted, completely bioturbated siltstone, BK 4; e: Layer No. 8, low: in Early Complex Tiering Pattern: Upper Ordovician, Barrandian Area, The Czech Republic

Text-fig. 7. Vertical polished sections of samples from selected layers. a: Layer No. 2, completely bioturbated, collection of the Czech Geological Survey (abbr. BK), BK 7; b: Layer No. 3, low: nearly completely bioturbated, upper: cross- to ripple bedding, weakly bioturbated, BK 6; c: Layer No. 7, incompletely bioturbated siltstone/mudstone, BK 5; d: Layer No. 8, low: totally bioturbated background with Zoophycos ichnofabric, upper: spotted, completely bioturbated siltstone, BK 4; e: Layer No. 8, low:

Fig. 3 in Sequencing and analysis of the complete mitochondrial genome of the giant dobsonfly Acanthacorydalis orientalis (McLachlan) (Insecta: Megaloptera: Corydalidae)

Fig. 3. Predicted secondary structure of the rrnl in the Acanthacorydalis orientalis mt genome. Roman numerals denote the conserved Watson-Crick base pairing and dot (•) indicates G-U base pairing.

Fig. 4 in Sequencing and analysis of the complete mitochondrial genome of the giant dobsonfly Acanthacorydalis orientalis (McLachlan) (Insecta: Megaloptera: Corydalidae)

Fig. 4. Predicted secondary structure of the rrns in the A. orientalis mt genome. Roman numerals denote the conserved domain structure. Dash (-) indicates Watson-Crick base pairing and dot (•) indicates G-U base pairing.

Fig. 1 in Sequencing and analysis of the complete mitochondrial genome of the giant dobsonfly Acanthacorydalis orientalis (McLachlan) (Insecta: Megaloptera: Corydalidae)

Fig. 1. Mitochondrial genome map of Acanthacorydalis orientalis. The tRNAs are denoted by the color blocks and are labeled according to the IUPACIUB single-letter amino acid codes. Gene name without underline indicates the direction of transcription

Fig. 2 in Sequencing and analysis of the complete mitochondrial genome of the giant dobsonfly Acanthacorydalis orientalis (McLachlan) (Insecta: Megaloptera: Corydalidae)

Fig. 2. Inferred secondary structure of 22 tRNAs of the Acanthacorydalis orientalis mt genome. The tRNAs are labeled with the abbreviations of their corresponding amino acids. Dash (-) indicates Watson-Crick bonds and dot (·) indicates GU bonds.

Fig. 5 in Sequencing and analysis of the complete mitochondrial genome of the giant dobsonfly Acanthacorydalis orientalis (McLachlan) (Insecta: Megaloptera: Corydalidae)

Fig. 5. Phylogenetic relationships among the sequenced Megaloptera insects. Numbers at the nodes are Bayesian posterior probabilities (left) and ML bootstrap values (right).

opencc-by-4.0Aug 2022View details →

Text-fig. 4. Laminated silts with almost complete leaves at the top of bed GLA20: Dicotylophyllum sp. 3 (left: MGPTPU141032) and Laurophyllum sp. 2 (right: MGPT-PU141082). Scale bar 10 mm. in Remains Of A Subtropical Humid Forest In A Messinian Evaporitebearing Succession At Govone, Northwestern Italy - Preliminary Results

Text-fig. 4. Laminated silts with almost complete leaves at the top of bed GLA20: Dicotylophyllum sp. 3 (left: MGPTPU141032) and Laurophyllum sp. 2 (right: MGPT-PU141082). Scale bar 10 mm.

Fig. 6 in Complete mitochondrial genome sequence of Bonasa sewerzowi (Galliformes: Phasianidae) and phylogenetic analysis

Fig. 6. The phylogenetic relationship of Bonasa among Galliformes based on the complete mitogenome. Branch lengths and topologies were obtained from Maximum Likelihood analyses. The numbers were the bootstrap values of MP/ML/BI trees in turn. * indicates that MP or BI tree was inconsistent with ML tree.

Fig. 4 in Complete mitochondrial genome sequence of Bonasa sewerzowi (Galliformes: Phasianidae) and phylogenetic analysis

Fig. 4. The structure of CR in Bonasa sewerzowi mitochondrial genome and comparasion with B. bonasia.

Fig. 5 in Complete mitochondrial genome sequence of Bonasa sewerzowi (Galliformes: Phasianidae) and phylogenetic analysis

Fig. 5. Nucleotide composition of different partitions from two Bonasa mitogenomes. AT-skew, (A-T)/(A+T); GC-skew, (G-C)/(G+C); PCG-1st, the first codon positions of PCGs; PCG-2nd, the second codon positions of PCGs; PCG-3rd, the third codon positions of PCGs.

Fig. 3 in Complete mitochondrial genome sequence of Bonasa sewerzowi (Galliformes: Phasianidae) and phylogenetic analysis

Fig. 3. The srRNA secondary structure of Bonasa sewerzowi mitogenome and comparasion with B. bonasia. The different nucleotides in B. bonasia was pointed out.

Fig. 1 in Complete mitochondrial genome sequence of Bonasa sewerzowi (Galliformes: Phasianidae) and phylogenetic analysis

Fig. 1. Gene map of the B. sewerzowi mitochondrial genome. Transfer RNA genes are designated by single-letter amino acid codes. L1, L2, S1, and S2 denote trnL (uur), trnL (cun), trnS (ucn) and trnS (agy), respectively.

Fig. 2 in Complete mitochondrial genome sequence of Bonasa sewerzowi (Galliformes: Phasianidae) and phylogenetic analysis

Fig. 2. The lrRNA secondary structure of Bonasa sewerzowi mitogenome and comparasion with B. bonasia. The different nucleotides in B.

Figure 4 in Complete mitochondrial genomes from museum specimens clarify millipede evolution in the Eastern Arc Mountains

Figure 4. Maximum likelihood-based phylogeny, with 100 bootstrap replicates and using all the 26 mitochondrial genomes generated in this study. The dataset was supplemented with Thyropygus sp. and Abacion magnum as outgroups, with sequences derived from GenBank. GenBank accession numbers are given in parentheses. Colours represent Tropostreptus sample origins. The upper right inset shows the topology of the Tropostreptus hamatus lineage, enlarged to clarify the branching order. Only support values <100 are shown. *Thyropygus sp. (red font) is very likely to be a species misidentification; for more information, see Discussion text.

Figure 5. Bayesian phylogeny, with species divergence age estimates reconstructed with BEAST using all the 26 in Complete mitochondrial genomes from museum specimens clarify millipede evolution in the Eastern Arc Mountains

Figure 5. Bayesian phylogeny, with species divergence age estimates reconstructed with BEAST using all the 26 mitochondrial genomes generated in this study. The dataset was supplemented with Thyropygus sp. and Abacion magnum as outgroups, derived from GenBank. GenBank accession numbers are provided in parentheses. Blue bars indicate the 95% highest probability density intervals for node ages. Age estimation for lineage divergence was based on a general arthropod mitochondrial DNA substitution rate and should be considered with caution. *Thyropygus sp. (red font) is very likely to be a misidentification; for more information, see the Discussion.

Figure 1 in Complete mitochondrial genomes from museum specimens clarify millipede evolution in the Eastern Arc Mountains

Figure 1. Typical Tropostreptus appearance exemplified by a Tropostreptus hamatus individual from Udzungwa Mountains, Tanzania (photograph credit: Nikolaj Scharff).

Figure 2 in Complete mitochondrial genomes from museum specimens clarify millipede evolution in the Eastern Arc Mountains

Figure 2. Map showing the origin of the millipede specimens used in the study, with the accuracy of location restricted to mountain blocks. Coloured circles all represent Tropostreptus species, whereas grey symbols represent species from other millipede genera. Base map published by permission of the Eastern Arc Mountains Conservation Endowment Fund.