Skip to main content
Powered by ShareScore

Find research datasets worth reusing

Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.

866

datasets available to search

ShareScore release 0.7.1

Reset

Dataset results

866 results for “attack”

Learn how ShareScore rates datasets ↗
zenodo32/100

FIGURE 2. a in A note on Szelenyiopria pampeana (Loiácono) n. comb., parasitoid wasps (Hymenoptera: Diapriidae) attacking the fungus growing ant, Acromyrmex lobicornis Emery (Hymenoptera: Formicidae: Attini) in La Pampa, Argentina

FIGURE 2. a. Szelenyiopria pampeana female, mesosoma, detail of specialized setae with truncate apices. b. Formicid sexual larvae, detail of tegument with ancoriformes setae.

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURE 1. Ant larvae. a–b in A note on Szelenyiopria pampeana (Loiácono) n. comb., parasitoid wasps (Hymenoptera: Diapriidae) attacking the fungus growing ant, Acromyrmex lobicornis Emery (Hymenoptera: Formicidae: Attini) in La Pampa, Argentina

FIGURE 1. Ant larvae. a–b. showing immature states of diapriines, c. with adult diapriid emerging, d. after diapriid emergence. e. Szelenyiopria adult female (upper) and ant worker (lower).

opennotspecifiedDec 2009View details →
zenodo32/100

FIGURES 12–17 in A new species of gall midge (Diptera: Cecidomyiidae) attacking jujube, Ziziphus jujuba in China

FIGURES 12–17. Dasineura jujubifolia sp. nov.: 12, Pupa (ventrolateral view). 13, Mature larva (ventral view). 14, Sternal spatula on mature larva (ventral view). 15, Rolled leaf galls on young green leaves. 16, Rolled leaf galls on older purple-brown leaves. 17, A rolled young leaf gall cut open to show reddish and translucent eggs.

opennotspecifiedDec 2017View details →
zenodo32/100

FIGURES 1–7 in A new species of gall midge (Diptera: Cecidomyiidae) attacking jujube, Ziziphus jujuba in China

FIGURES 1–7. Dasineura jujubifolia sp. nov.: 1, Female palpus (lateral view). 2, 3rd male flagellomere (dorsal view). 3, 3rd female flagellomere (dorsal view). 4, Male wing (dorsal view). 5, Male fore acropod (lateral view). 6, Male genitalia (dorsal view, one gonopod removed). 7, Male genitalia (ventral view, one gonopod removed)

opennotspecifiedDec 2017View details →
zenodo32/100

POMABuster: Detecting Price Oracle Manipulation Attacks in Decentralized Finance

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
zenodo32/100

Effects of host essential oils and log length on bark beetle attack

Open the record for dataset details and reuse information.

opencc-by-4.0Mar 2023View details →
zenodo32/100

Defensive symbiont genotype distributions are linked to parasitoid attack networks - Dataset and scripts

<p>This R project includes data and scripts for paper - Defensive symbiont genotype distributions are linked to parasitoid attack networks</p> <p>Script for analysis:</p> <p>&nbsp; &nbsp; Run all the scripts in order, to get all analyses and results in this paper.&nbsp;</p> <p>&nbsp; &nbsp; Script_0_package_install_load.R:&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Installs and loads the necessary R packages required for all subsequent scripts.<br>&nbsp; &nbsp; &nbsp; &nbsp; This R project</p> <p>&nbsp; &nbsp; Script_1_Extract_from_Table_S2.R<br>&nbsp; &nbsp; &nbsp; &nbsp; Extracts information from:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Table_S2.csv (located in /Rawdata/) &nbsp; &nbsp;Data_4_Aphid_sequences.fas<br>&nbsp; &nbsp; &nbsp; &nbsp; Generates 10 files for further analyses:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid relatedness distance:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid_phylogenetic_relatedness_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid_phylogenetic_relatedness_22species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid_phylogenetic_relatedness_31species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella - Aphid Matrices:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella_Aphid_matrix_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella_Aphid_matrix_22species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella_Aphid_matrix_31species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Parasitoid - Aphid Matrices:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Para_Aphid_matrix_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Para_Aphid_matrix_22species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Plant - Aphid Matrices:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Plant_Aphid_matrix_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Plant_Aphid_matrix_31species.csv</p> <p><br>&nbsp; &nbsp; Script_2_BarPlot_Fig1.R:&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Generates Fig. 1 using:&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Data_11_Parasitoid_genus_aphid_22_species_Fig.1.csv &nbsp;Data_12_Plant_genus_aphid_31_species_Fig.1.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; The bar order in Fig. 1 is arranged by proportion, which is not directly supported in the ggplot2 package in R. Therefore, we need manually reordered if using the first plot code; or, manually colour it using the second plot code.&nbsp;</p> <p><br>&nbsp; &nbsp; Script_3_MMRR_analysis.R<br>&nbsp; &nbsp; &nbsp; &nbsp; Uses 10 distance/distribution matrices of Parasitoid, Plant, Hamiltonella, and Aphid relationships to compute matrix correlations with the MMRR (Multiple Matrix Regression with Randomization) model.</p> <p><br>&nbsp; &nbsp; Script_4_Species_linkage_Fig2_FigS4.R<br>&nbsp; &nbsp; &nbsp; &nbsp; Uses 7 distribution matrices of Parasitoid, Plant, and Hamiltonella relationships with Aphids (excluding Aphid genetic distance matrices) to generate the species linkage diagrams for Fig. 2 and Fig. S4, For aesthetic purposes, unconnected sample points have been moved.</p> <p><br>&nbsp; &nbsp; Script_5_MMRR_Fig3_FigS5.R<br>&nbsp; &nbsp; &nbsp; &nbsp; Plots the MMRR correlations using the 10 distance/distribution matrices for Parasitoid, Plant, Hamiltonella, and Aphid relationships (Fig. 3 &amp; Fig. S5).&nbsp;</p> <p>&nbsp; &nbsp; Script_6_parasitoid_specialization_Fig4.R<br>&nbsp; &nbsp; &nbsp; &nbsp; Computes specialization levels using the H2 Index for:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Parasitoid-Aphid<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid-Hamiltonella<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Parasitoid-Hamiltonella relationships&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Generates Figure 4.</p> <p>&nbsp; &nbsp; Script_7_Ecologicial_indices&amp;plots_Table1_FigS3.R<br>&nbsp; &nbsp; &nbsp; &nbsp; Uses 7 distribution matrices of Parasitoid, Plant, and Hamiltonella relationships with Aphids (excluding Aphid genetic distance matrices) to:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Calculate ecological indices (Richness, Shannon Index, Simpson Index).<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Use linear models to analyze the relationships between Parasitoid/Plant-Aphid and Aphid-Hamiltonella communities. &nbsp;&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Outputs results for Table 1 and Figure S3.</p> <p><br>&nbsp; &nbsp; Script_8_Bubble_plot_FigS2.R<br>&nbsp; &nbsp; &nbsp; &nbsp; This script using&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella_Aphid_matrix_31species.csv&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; and two phylogeny trees&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Data_8_Aphid_species_phylogeny.txt &amp;&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Data_9_Hamiltonella_phylogeny.txt<br>&nbsp; &nbsp; &nbsp; &nbsp; To create a Cophylogeny tree of Hamiltonella strains and aphid species that we identified in this study and previously known strains. (Fig. S2)</p> <p>&nbsp; &nbsp; Script_9_DADA2_pipeline.R<br>&nbsp; &nbsp; &nbsp; &nbsp; This script is the DADA2 pipeline used to processing the raw COI sequencing data into ASV (Amplicon Sequence Variant) count files. After processing, the ASV files required manual curation to link each ASV with a distinct parasitoid and aphid species name based on BLAST results. In our updated version, we have provided both the raw data (BioProject PRJNA1139364) as well as the manually curated files (Data_1 and Data_2) which includes the ASV species names. All subsequent analyses can be reproduced using the curated datasets (Data_1 and Data_2), ensuring clarity and replicability for users.<br>&nbsp; &nbsp; &nbsp; &nbsp; We have incorporated the SRA Toolkit to streamline the process. This allows users to download raw SRR sequencing files directly and convert them into FASTQ files, which can then be input into the DADA2 pipeline. The pipeline produces two ASV count files, one for each sequencing run.</p> <p>&nbsp;</p> <p>Raw data and inofrmation:</p> <p>&nbsp; &nbsp; Table_S2.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; The Dataset from Supplementary Table S2: After manual pooling the Parasitoid/Aphid species based on the Data_1,2 and 6.<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; No: the number of this sample<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; City: The city that collected this sample<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Location: the location of sample collection<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Sample category: Aphid mummies or alive aphids<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Sample code: the name of sample (self defined)<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Collection year: when this sample was collected<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid taxa / Wasp taxa / Plant species /Hamiltonella strain: The Aphid/Parasitoid/Plant/Hamiltonella species&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Sequencing method: Illumina or Sanger sequencing &nbsp;&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Sequencing date: the date of sending this sample to sequencing<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Data source: From this study or from Wu et al. 2022: Local adaptation to hosts and parasitoids shape Hamiltonella defensa genotypes across aphid species</p> <p>&nbsp; &nbsp; Data_1_Deep_sequencing_data_block_1.xlsx &amp; Data_2_Deep_sequencing_data_block_2.xlsx&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Sample: The sample name from Illumina sequencing, which can later be found on GenBank (BioProject PRJNA1139364).<br>&nbsp; &nbsp; &nbsp; &nbsp; Aphid: The detected aphid species for each sample.<br>&nbsp; &nbsp; &nbsp; &nbsp; Parasitoid: The detected parasitoid species.<br>&nbsp; &nbsp; &nbsp; &nbsp; The remaining columns contain ASV (Amplicon Sequence Variant) data derived from high-throughput barcoding sequencing.<br>&nbsp; &nbsp; &nbsp; &nbsp; Data1 and Data_2 are the manually curated versions of the BioProject PRJNA1139364 with added species names for each ASV.&nbsp;</p> <p>&nbsp; &nbsp; Data_3_Parasitoid sequences.fas &amp;&nbsp;<br>&nbsp; &nbsp; Data_4_Aphid sequences.fas &amp;&nbsp;<br>&nbsp; &nbsp; Data_5_Hamiltonella sequences.fas,<br>&nbsp; &nbsp; &nbsp; &nbsp; FASTA files for:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Parasitoid species<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid species<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella strains<br>&nbsp; &nbsp; &nbsp; &nbsp; These sequences were used for phylogenetic reconstruction and subsequent analyses.</p> <p>&nbsp; &nbsp; Data_6_Parasitoid_Aphid_pooled_table.xlsx&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Contains the OTU (Operational Taxonomic Unit) manual pooling results for Parasitoid and Aphid species based on 99% (4 base pair) sequence similarity:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Parasitoid pooling together group &amp; Aphid pooling together group: Original names from Illumina sequencing.<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Original name: Representative sequences for each group.<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Pooled species name: Final species names used in all analyses.<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Pooled sequences: Final representative sequences used in all analyses.<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; The result of manual pooling see the Table_S2.csv</p> <p>&nbsp; &nbsp; Data_7_Parasitoid_species_phylogeny.txt &amp; Data_8_Aphid_species_phylogeny.txt &amp; Data_9_Hamiltonella_phylogeny.txt&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Phylogenetic trees for:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Parasitoid species<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Aphid species<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella strains<br>&nbsp; &nbsp; &nbsp; &nbsp; These trees were generated using the PhyML tool on the ATGC Montpellier platform, original fasta file was Data_3, 4 &amp; 5.</p> <p>&nbsp; &nbsp; Data_10_aphid_host_info.csv&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Provides aphid host information for generating Figure 2 and Figure S4:<br>&nbsp; &nbsp; &nbsp; &nbsp; Aphid: Names of aphid species included in this study.<br>&nbsp; &nbsp; &nbsp; &nbsp; Host: Host categories:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1: Herb aphids<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2: Grass aphids<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3: Tree aphids<br>&nbsp; &nbsp; &nbsp; &nbsp; Host_category: Detailed descriptions of host categories.</p> <p>&nbsp; &nbsp; Data_11_Parasitoid_genus_aphid_22_species_Fig.1.csv &amp; Data_12_Plant_genus_aphid_31_species_Fig.1.csv&nbsp;<br>&nbsp; &nbsp; &nbsp; &nbsp; Reduced matrices used for Figure 1, created by merging data from:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; OTUs associated with the same parasitoid species.<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Plant species belonging to the same genus.</p> <p>&nbsp; &nbsp; 7 Distribution Matrices (from Script_1_Extract_from_Table_S2.R)<br>&nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella-Aphid Matrices:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;Hamiltonella_Aphid_matrix_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella_Aphid_matrix_22species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Hamiltonella_Aphid_matrix_31species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; Parasitoid-Aphid Matrices:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Para_Aphid_matrix_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Para_Aphid_matrix_22species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; Plant-Aphid Matrices:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Plant_Aphid_matrix_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Plant_Aphid_matrix_31species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; Structure:<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Rows represent aphid species.<br>&nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; Columns represent Hamiltonella strains, parasitoid species, or host plant species linked to each aphid species.<br>&nbsp; &nbsp; &nbsp; &nbsp; Usage: These matrices were used to generate Figures 2, 3, 4, Figures S2, S3, S4, S5, and for MMRR tests, ecological indices, and H2 index calculations.</p> <p>&nbsp; &nbsp; 3 Aphid phylogenetic relatedness matrices derived from Script_1_Extract_from_Table_S2.R<br>&nbsp; &nbsp; &nbsp; &nbsp; Aphid_phylogenetic_relatedness_16species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; Aphid_phylogenetic_relatedness_22species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; Aphid_phylogenetic_relatedness_31species.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; These matrices provide phylogenetic distance information, showing pairwise genetic distances between the 31 aphid species included in this study.</p> <p>&nbsp; &nbsp; SraRunTable.csv<br>&nbsp; &nbsp; &nbsp; &nbsp; The BioProject (PRJNA1139364) information downloaded directly from Genbank.&nbsp;</p>

opencc-by-4.0Jul 2024View details →
dryad32/100

Beneficial worm allies warn plants of parasite attack belowground and reduce aboveground herbivore preference and performance

<p>We investigated responses of tomato (<i>Solanum lycopersicum</i>) to two functional guilds of nematodes - plant parasite (<i>Meloidogyne javanica</i>) and entomopathogens (<i>Heterorhabditis bacteriophora</i>, <i>Steinernema feltiae</i> belowground, and <i>S. carpocapsae</i>) - as well as a leaf mining insect (<i>Tuta absoluta</i>) aboveground. Our results indicate that entomopathogenic nematodes (EPNs): 1) induced plant defense responses, 2) reduced root knot nematode (RKN) infestation belowground and 3) reduced herbivore (<i>T. absoluta</i>) host preference and performance aboveground. Concurrently, we investigated the plant signaling mechanisms underlying these interactions using biochemical and transcriptome analyses. We found that both entomopathogen and parasite triggered immune responses in plant roots with shared gene expression. Tomato plants responded similarly to presence of RKN or EPN in the rootzone, by rapidly activating polyphenol oxidase (PPO) and guaiacol peroxidase (GP) activity in roots, but simultaneously suppressed this activity in aboveground tissues. We quantified changes in gene expression in tomato that may play essential roles in defense response to RKN, which were also coincidentally triggered by EPN. <span>For example, <i>PR-14</i> expression was greater in plants inoculated with EPN than in plants co-inoculated with </span>both nematode functional guilds<span>. Overall, EPN inoculation directly mediated enhanced plant defense and </span>reduced subsequent RKN infection. Likewise, we show that EPNs modulate plant defense against RKN invasion, in part, by suppressing active expression of antioxidant enzymes. Inoculation of tomato roots with EPNs belowground reduced both host preference and performance of the aboveground herbivore, <i>T. absoluta</i>.  Inoculations of roots with EPN also triggered an immune response in tomato via up-regulated phenylpropanoid metabolism and synthesis of protease inhibitors (PIs) in plant tissues, which could explain an observed decrease in egg laying and developmental performance exhibited by herbivores on EPN-inoculated plants. Our results support the hypothesis that subterranean EPNs activate a battery of plant defenses associated with systemic acquired resistance (SAR) and/or induced systemic resistance (ISR) with concomitant antagonistic effects on temporally co-occurring subterranean plant pathogenic nematodes and terrestrial herbivores.</p>

opencc-zeroNov 2021View details →
dryad32/100

The angle of attack: Rapping technique predicts skill in hermit crab contests

<p>Skill, the ability to perform a challenging behaviour well, has been shown to be an important determinant of success in a variety of contexts, including human sports, animal courtship and most recently, animal contests. Because skilful movement requires precise motor control, skill is assumed to be underpinned by traits that determine these abilities. However, while these traits determine an individual's potential to perform skilful movements (known as technique), this potential may not translate into skilful fighting due to interference from the opponent. Here, we investigate the relationship between technique and skill using the European hermit crab <i>Pagurus bernhardus</i>. By examining the spatial distribution of shell raps, we find that on average, technique exhibited during a "training" fight predicts the level of skill displayed in a real contest. However, our results also demonstrate substantial among-individual variation in the direction of change across the two fights, with some individuals exhibiting better technique than skill and others showing the opposite pattern. Finally, we find that winners, but not losers, progressively adapt their targeting of strikes when faced with a fully functional opponent. Our results indicate that skill is a combination of innate technique and the ability to adapt to an opponent's behaviour.</p>

opencc-zeroDec 2021View details →
zenodo32/100

FIGURE 3 in A new Polylopha species attacking cinnamon trees in Vietnam (Lepidoptera: Tortricidae: Chlidanotinae: Polyorthini)

FIGURE 3. Polylopha vietnama sp. nov., adult in resting position, Vietnam (Yen Bai Prov.) (photo D.-N. Quang).

opennotspecifiedFeb 2022View details →
zenodo32/100

FIGURE 2 in A new Polylopha species attacking cinnamon trees in Vietnam (Lepidoptera: Tortricidae: Chlidanotinae: Polyorthini)

FIGURE 2. Head views of Polylopha vietnama sp. nov., female holotype, Vietnam (Yen Bai Prov.): 2) lateral view (photo 15107HL), and 2a) dorsal view (photo 15107HD).

opennotspecifiedFeb 2022View details →
zenodo32/100

FIGURE 1 in A new Polylopha species attacking cinnamon trees in Vietnam (Lepidoptera: Tortricidae: Chlidanotinae: Polyorthini)

FIGURE 1. Polylopha vietnama sp. nov., female holotype (11.2mm wingspan), Vietnam (Yen Bai Prov.) (photo 15107) (MGCL).

opennotspecifiedFeb 2022View details →
zenodo32/100

FIGURE 4 in A new Polylopha species attacking cinnamon trees in Vietnam (Lepidoptera: Tortricidae: Chlidanotinae: Polyorthini)

FIGURE 4. Polylopha vietnama sp. nov., male genitalia (paratype), with valvae and juxta complex below (when together, the corematal tufts of segment 8 fit inside valval walls), and details, a) central features enlarged (valvae removed, and enlargements of the half-pipe-like uncus tip and the reverse-spined gnathos tip), b) aedeagus (enlarged), and c) posterior of abdomen, with sternal plates 6–7 (gen. slide JBH–4118) (MGCL).

opennotspecifiedFeb 2022View details →
zenodo32/100

Mitigating RF Jamming Attacks at the Physical Layer with Machine Learning Dataset

<p>Data files were used in support of the research paper titled &ldquo;<em>Mitigating RF Jamming Attacks at the Physical Layer with Machine Learning</em>&quot; which has been submitted to the IET Communications journal.</p> <p>---------------------------------------------------------------------------------------------</p> <p>All data was collected using the SDR implementation shown here: https://github.com/mainland/dragonradio/tree/iet-paper. Particularly for antenna state selection, the files developed for this paper are located in &#39;dragonradio/scripts/:&#39;</p> <ul> <li>&#39;ModeSelect.py&#39;: class used to defined the antenna state selection algorithm</li> <li>&#39;standalone-radio.py&#39;: SDR implementation for normal radio operation with reconfigurable antenna</li> <li>&#39;standalone-radio-tuning.py&#39;: SDR implementation for hyperparameter tunning</li> <li>&#39;standalone-radio-onmi.py&#39;: SDR implementation for omnidirectional mode only</li> </ul> <p>---------------------------------------------------------------------------------------------</p> <p>Authors: Marko Jacovic, Xaime Rivas Rey, Geoffrey Mainland, Kapil R. Dandekar<br> Contact: krd26@drexel.edu</p> <p>---------------------------------------------------------------------------------------------</p> <p>Top-level directories and content will be described below. Detailed descriptions of experiments performed are provided in the paper.</p> <p>---------------------------------------------------------------------------------------------</p> <p>classifier_training: files used for training classifiers that are integrated into SDR platform</p> <ul> <li>&#39;logs-8-18&#39; directory contains OTA SDR collected log files for each jammer type and under normal operation (including congested and weaklink states)</li> <li>&#39;classTrain.py&#39; is the main parser for training the classifiers</li> <li>&#39;trainedClassifiers&#39; contains the output classifiers generated by &#39;classTrain.py&#39;</li> </ul> <p>post_processing_classifier: contains logs of online classifier outputs and processing script</p> <ul> <li>&#39;class&#39; directory contains .csv logs of each RTE and OTA experiment for each jamming and operation scenario</li> <li>&#39;classProcess.py&#39; parses the log files and provides classification report and confusion matrix for each multi-class and binary classifiers for each observed scenario - found in &#39;results-&gt;classifier_performance&#39;</li> </ul> <p>post_processing_mgen: contains MGEN receiver logs and parser</p> <ul> <li>&#39;configs&#39; contains JSON files to be used with parser for each experiment</li> <li>&#39;mgenLogs&#39; contains MGEN receiver logs for each OTA and RTE experiment described. Within each experiment logs are separated by &#39;mit&#39; for mitigation used, &#39;nj&#39; for no jammer, and &#39;noMit&#39; for no mitigation technique used. File names take the form *_cj_* for constant jammer, *_pj_* for periodic jammer, *_rj_* for reactive jammer, and *_nj_* for no jammer. Performance figures are found in &#39;results-&gt;mitigation_performance&#39;</li> </ul> <p>ray_tracing_emulation: contains files related to Drexel area, Art Museum, and UAV Drexel area validation RTE studies.</p> <ul> <li>Directory contains detailed &#39;readme.txt&#39; for understanding.</li> <li>Please note: the processing files and data logs present in &#39;validation&#39; folder were developed by Wolfe et al. and should be cited as such, unless explicitly stated differently.&nbsp; <ul> <li>S. Wolfe, S. Begashaw, Y. Liu and K. R. Dandekar, &quot;Adaptive Link Optimization for 802.11 UAV Uplink Using a Reconfigurable Antenna,&quot; MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM), 2018, pp. 1-6, doi: 10.1109/MILCOM.2018.8599696.</li> </ul> </li> </ul> <p>results: contains results obtained from study</p> <ul> <li>&#39;classifier_performance&#39; contains .txt files summarizing binary and multi-class performance of online SDR system. Files obtained using &#39;post_processing_classifier.&#39;</li> <li>&#39;mitigation_performance&#39; contains figures generated by &#39;post_processing_mgen.&#39;</li> <li>&#39;validation&#39; contains RTE and OTA performance comparison obtained by &#39;ray_tracing_emulation-&gt;validation-&gt;matlab-&gt;outdoor_hover_plots.m&#39;</li> </ul> <p>tuning_parameter_study: contains the OTA log files for antenna state selection hyperparameter study</p> <ul> <li>&#39;dataCollect&#39; contains a folder for each jammer considered in the study, and inside each folder there is a CSV file corresponding to a different configuration of the learning parameters of the reconfigurable antenna. The configuration selected was the one that performed the best across all these experiments and is described in the paper.</li> <li>&#39;data_summary.txt&#39;this file contains the summaries from all the CSV files for convenience.</li> </ul>

opencc-by-4.0Feb 2022View details →
dryad32/100

Adrenomedullin induces migraine-like attacks in patients with migraine without aura

<p><b>Objective</b>: To determine whether the intravenous infusion of adrenomedullin, a potent vasodilator belonging to calcitonin family of peptides, provokes attacks of migraine in patients.</p> <p><b>Methods</b>: We have enlisted twenty migraine without aura patients to participate in a placebo-controlled and double-blinded clinical study. In a randomized and crossover design the patients received an intravenous infusion of human adrenomedullin (19.9 picomole/kg/min) or placebo (saline) administrated via an automated intravenous pump for period of (20 minutes). The patients participated in two study days with washout period of minimum of seven days. The main outcome of the study was predefined as a difference in migraine incidence (0–12 h).</p> <p><b>Results</b>: Eleven migraine without aura patients (55%) fulfilled migraine attacks criteria after adrenomedullin infusion in comparison to only three patients reported attack (15%) after placebo (<i>P= </i>0.039). We found that patients reported in a period of (0-12 hours) stronger headache intensity after adrenomedullin in comparison to placebo infusion (<i>P= </i>0.035).</p> <p><b>Conclusion</b>: Our data implicate adrenomedullin in migraine pathogenesis. This suggests that adrenomedullin and/or its receptors are novel therapeutic targets for the treatment of migraine. However, we cannot discount for the possibility that adrenomedullin may be acting through the canonical CGRP receptor.</p>

opencc-zeroFeb 2022View details →
zenodo32/100

Refinement of an Attacker Model for Attack Paths Generation | Test Dataset

<p>This repository contains the test models and associated tests of the evaluation of the bachelor thesis &quot;Refinement of an Attacker Model for Attack Paths Generation&quot; / German: &quot;Verfeinerung des Angreifermodells und F&auml;higkeiten in einer Angriffspfadgenerierung&quot;. The basis for the model used is the TravelPlaner CaseStudy. The tests for measuring the performance delta are also included.</p> <p>Palladio Bench 5, Java 11 and the following GitHub repositories are used for execution:<br> Analysis: https://github.com/Patrick-Spiesberger/Palladio-Addons-ContextConfidentialityAnalysis_Mitigation<br> Meta model: https://github.com/Patrick-Spiesberger/Palladio-Addons-ContextConfidentialityMetamodell_Mitigation<br> <br> Environment installation is included in the README files. See also the previous work by Maximilian Walter:<br> Analysis: https://github.com/FluidTrust/Palladio-Addons-ContextConfidentiality-Analysis<br> Meta Model: https://github.com/FluidTrust/Palladio-Addons-ContextConfidentiality-Metamodel</p>

opencc-by-4.0Mar 2022View details →
dryad32/100

Data for: The paradoxical rarity of a parasitic fruit fly fungus attacking a broad range of hosts

<p><span><span><span><span><span><span><span><span><span><span><span>Understanding the factors that determine the realized and potential distribution of a species requires knowledge of abiotic, physiological, limitations as well as ecological interactions. Entomopathogenic fungi of the order Laboulbeniales specialize on arthropod hosts and are typically thought to be highly specialized on a single host or closely related group of hosts. Because infections are solely transmitted through direct contact of the hosts, the host ecology to a large extent determines the distribution and occurrence of the fungus. We examined ~20,000 fruit flies (Diptera: Dacinae) collected in Malaysia, Sulawesi, Australia and the Solomon Islands between 2017–2019 for ectoparasitic fungal infections and found 197 infected flies across eight different <i>Bactrocera </i>species. Morphology and small subunit (18S) DNA sequences both support that the infections are from a single polyphagous fungal species. This presents the paradox of why <i>S. dacinus </i>is not more common when its hosts are widespread and ubiquitous. In addition, the hosts are all <i>Bactrocera, </i>a genus with ~480 species,<i> </i>but many sympatric <i>Bactrocera </i>were never infected. Host-selection does not appear to be phylogenetically correlated. Our results show that a single fungus species can be found on different host species in different continents. We discuss factors that might be involved in determining the host and distribution range of <i>S. dacinus</i>, such as host resistance, and discuss the potential for population control of agriculturally important hosts, such as the pestiferous Oriental fruit fly <i>Bactrocera dorsalis </i>and the Queensland fruit fly <i>B. tryoni</i>.</span></span></span></span></span></span></span></span></span></span></span></p>

opencc-zeroMar 2022View details →
zenodo32/100

Intramolecular Hydroxyl Nucleophilic Attack Pathway by a Polymeric Water Oxidation Catalyst with Single Cobalt Sites

<p>Exploring efficient water oxidation catalysts (WOCs) is the primary challenge in converting renewable energy into fuels. Here we report a molecularly well-defined heterogeneous WOC with Aza-fused-&pi;-conjugated-microporous-polymer (Aza-CMP) coordinated single cobalt sites (Aza-CMP-Co). The single cobalt sites in Aza-CMP-Co exhibited superior activity under alkaline and near-neutral conditions. Moreover, the molecular nature of the isolated catalytic sites makes Aza-CMP-Co a reliable model for studying the heterogeneous water oxidation mechanism. By combining the experimental and theoretical results, a pH-dependent nucleophilic attack pathway for O-O bond formation was proposed. Under alkaline conditions, the intramolecular hydroxyl nucleophilic attack (IHNA) process that the adjacent -OH group nucleophilically attacks Co<sup>4+</sup>=O was identified as the rate-determining step. The process leads to lower activation energy and boosted kinetics than that of the intermolecular water nucleophilic attack pathway. This study provides significant insights into the crucial function of electrolyte pH in water oxidation catalysis and enhancement of the water oxidation activity by regulating the IHNA pathway.</p>

opencc-by-4.0Mar 2022View details →
zenodo32/100

FIGURE 3 in Synopsis of the Neotropical Sclerodermus Latreille (Hymenoptera, Bethylidae) with description of a new species attacking human beings

FIGURE 3. Sclerodermus chicomendesi sp. nov., female. A. Habitus, lateral view; B. Habitus, dorsal view; C–D. Head (C frontal view, D lateral view); E. Mesosoma, lateral view). Scale-bars: 100µm, except 200µm for A–B.

opennotspecifiedApr 2022View details →
zenodo32/100

FIGURE 5 in Synopsis of the Neotropical Sclerodermus Latreille (Hymenoptera, Bethylidae) with description of a new species attacking human beings

FIGURE 5. Phylogenetic maximum-likelihood tree based on the COI sequences. Ultrafast bootstrap values below the nodes.

opennotspecifiedApr 2022View details →

ScienceDex guides

Understand access before you commit

These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.

Compare curated datasets

Allen Brain Atlas

Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.

allen-brain-atlas
neuroscienceopenDocumentation, web resources, and API references are available online.
Last verified 2026-04-30Open record

Annotated Behaviour and Observability Dataset (ABODe)

ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
behavioral-neuroscienceopenThe DataShare record exposes download links for annotations, documentation, license text, and the zipped per-snippet data directory.
Last verified 2026-04-30Open record

DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
neuroscienceopenPublished datasets are available on demand over the internet.
Last verified 2026-04-29Open record