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87 results for “Hydra”
2023 HYDRAS Proof of concept experiment with soybean genotypes
<h2>Description</h2> <p>This data sets contains metadata and data of the <strong>2023_POC experiment in the HYDRAS facility</strong>.</p> <p> The 2023 proof-of-concept study in hydras tested all standard field-phenotyping measurement types available in the infrastructure with 3 contrasting varieties of soybean + a control and a drought treatment using rain-out shelters. Start date: 23/5/2023, End dat: 4/10/2023. Location: Melle, Belgium. </p> <p>Data set contains: UAV sensor data, Electrical Resistivity Tomography data, soil point sensor data (water content, water potential and temperature), weather data, yield data and associated experimental information. </p> <h2>Content</h2> <ul> <li>2023_POC_metadata.xlsx contains all information about the experiment (goal, design, sensors, treatments, biological material, ...) and about the associated data files.</li> <li>Subfolder SPATIAL_INFO contains all spatial information about the experimental layout (location of field, plots, sensors, transects, ...) in GEOJSON files</li> <li>Other subfolders contain the actual data from various sources as .csv files. </li> </ul>
HYDRA dataset
<p> </p> <p>This repository contains a large dataset for the research of domain generation algorithms (DGAs) and machine learning. At the time of writing the dataset contains more than 90m of domains and more than 100 families.</p> <p>The dataset consists of SLDs from DGAs and their extracted features. The main sources for the DGAs are the following:</p> <ul> <li><a href="https://dgarchive.caad.fkie.fraunhofer.de/">DGArchive</a></li> <li><a href="https://data.netlab.360.com/dga/">The DGA feed from Network Security Research Lab at 360</a></li> <li><a href="http://osint.bambenekconsulting.com/feeds/">The OSINT feeds for DGA from Bambenek Consulting</a></li> </ul> <p>When the samples were sparse, we used the reversed code to create new ones.</p> <ul> <li><a href="https://github.com/baderj/domain_generation_algorithms">Johannes Bader Github repo</a></li> </ul> <p>Moreover, it has SLDs from three adversarial DGAs (referred to deception, deception2 and khaos) DGAs and SLDs from the top 1m Alexa domains.</p> <p>Features by the order they appear in the dataset</p> <ul> <li>Family: DGA Family</li> <li>SLD: SLD of the domain</li> <li>L-HEX: The domain name is represented with hexadecimal characters</li> <li>L-LEN: The length of Dom</li> <li>L-DIG: The number of digits in Dom</li> <li>L-DOT: The number of dots in the raw domain</li> <li>L-CON-MAX: The maximum number of consecutive consonants Dom</li> <li>L-VOW-MAX: The maximum number of consecutive vowels Dom</li> <li>L-W2: Number of words with more than 2 characters in Dom</li> <li>L-W3: Number of words with more than 3 characters in Dom</li> <li>R-CON-VOW: Ratio of consonants and vowels ofDom</li> <li>R-Dom-3G: Ratio of benign grams in Dom-3G</li> <li>R-Dom-4G: Ratio of benign grams in Dom-4G</li> <li>R-Dom-5G: Ratio of benign grams in Dom-5G</li> <li>R-VOW-3G: Ratio of grams that contain a vowel in Dom-3G</li> <li>R-VOW-4G: Ratio of grams that contain a vowel in Dom-4G</li> <li>R-VOW-5G: Ratio of grams that contain a vowel in Dom-5G</li> <li>R-WS-LEN: Dom-WS divided by L-LEN</li> <li>R-WD-LEN: Dom-WD divided by L-LEN</li> <li>R-WDS-LEN: Dom-WDS divided by L-LEN</li> <li>R-W2-LEN: Dom-W2 divided by L-LEN</li> <li>R-W2-LEN-D: Dom-W2 divided by Dom-D</li> <li>R-W3-LEN: Dom-W3 divided by L-LEN</li> <li>R-W3-LEN-D: Dom-W3 divided by Dom-D</li> <li>GIB-1-Dom: Gibberish detector 1 applied to Dom</li> <li>GIB-1-Dom-WS: Gibberish detector 1 applied to Dom-WS</li> <li>GIB-1-Dom-D: Gibberish detector 1 applied to Dom-D</li> <li>GIB-1-Dom-WDS: Gibberish detector 1 applied to Dom-WDS</li> <li>GIB-1-Dom-W2: Gibberish detector 1 applied to Dom-W2</li> <li>GIB-1-Dom-W3: Gibberish detector 1 applied to Dom-W3</li> <li>GIB-2-Dom: Gibberish detector 2 applied to Dom</li> <li>GIB-2-Dom-WS: Gibberish detector 2 applied to Dom-WS</li> <li>GIB-2-Dom-D: Gibberish detector 2 applied to Dom-D</li> <li>GIB-2-Dom-WDS: Gibberish detector 2 applied to Dom-WDS</li> <li>GIB-2-Dom-W2: Gibberish detector 2 applied to Dom-W2</li> <li>GIB-2-Dom-W3: Gibberish detector 2 applied to Dom-W3</li> <li>E-Dom: Entropy ofDom</li> <li>E-Dom-WS: Entropy of Dom-WS</li> <li>E-Dom-D: Entropy of Dom-D</li> <li>E-Dom-WDS: Entropy of Dom-WDS</li> <li>E-Dom-W2: Entropy of Dom-W2</li> <li>E-Dom-W3: Entropy of Dom-W3</li> </ul>
Automatic monitoring of neural activity with single-cell resolution in behaving Hydra
<p>The ability to record every spike from every neuron in a behaving animal is one of the holy grails of neuroscience. Here, we report coming one step closer towards this goal with the development of an end-to-end pipeline that automatically tracks and extracts calcium signals from individual neurons in the cnidarian <em>Hydra vulgaris</em>. We imaged dually labeled (nuclear tdTomato and cytoplasmic GCaMP7s) transgenic <em>Hydra </em>and developed an open-source Python platform (TraSE-IN) for the Tracking and Spike Estimation of Individual Neurons in the animal during behavior. The TraSE-IN platform comprises a series of modules that segments and tracks each nucleus over time and extracts the corresponding calcium activity in the GCaMP channel. Another series of signal processing modules allows robust prediction of individual spikes from each neuron's calcium signal. This complete pipeline will facilitate the automatic generation and analysis of large-scale datasets of single-cell resolution neural activity in <em>Hydra</em>, and potentially other model organisms, paving the way towards deciphering the neural code of an entire animal.</p>
FIGURE 1 in The oldest record of gnathostome fossils from Greece: Chondrichthyes from the Lopingian of Hydra Island
FIGURE 1. Geographical and geological context of the Hydriot chondrichthyan fossils. 1, Map of Greece showing the location of Hydra Island; 2, Outcrop map of Hydra Island showing the location of the sampled section "EP" south of the village of Episkopi. Outcrop map after Grant et al. (1991); 3, Stratigraphic section of the Episkopi Formation showing the provenance ("EP-Z") of the examined gnathostome fossils.
FIGURE 2. Chondrichthyan material from Hydra. 1-5 in The oldest record of gnathostome fossils from Greece: Chondrichthyes from the Lopingian of Hydra Island
FIGURE 2. Chondrichthyan material from Hydra. 1-5, Hybodontiformes indet. tooth (AMPG 550) in occlusal (1), basal (2), presumed lingual (3), profile (4), and presumed labial (5) views. Scale bar equals 5 mm. 6, Euselachii indet. dermal denticle (AMPG 551) in anterolateral view. Scale bar equals 100 μm.
Generic injuries are sufficient to induce ectopic Wnt organizers in Hydra
Open the record for dataset details and reuse information.
Peptide-driven control of somersaulting in Hydra vulgaris
Open the record for dataset details and reuse information.
Automatic monitoring of neural activity with single-cell resolution in behaving Hydra
Open the record for dataset details and reuse information.
Phragmotheca hydra Fern. Alonso from Colombia collected by Wilmar López Oviedo #2721
<p><strong>File Name</strong>: <span>TOLI-27864-JBP-04-F15-04.jpg</span></p> <p><strong>CÓDIGO FOTO</strong>: <span>TOLI-27864-JBP-04-F15-04</span></p> <p><strong>Nº TOLI</strong>: <span>TOLI-27864</span></p> <p><strong>PARCELA</strong>: <span>JBP-04</span></p> <p><strong>CÓDIGO</strong>: <span>F15-</span></p> <p><strong>Nº COLECTA</strong>: <span>2721</span></p> <p><strong>COLECTORES</strong>: <span>Wilmar López Oviedo </span></p> <p><strong>Nº MUESTRAS MONTADAS</strong>: <span>1</span></p> <p><strong>Homologación</strong>: <span>Homologado</span></p> <p><strong>Fecha del evento</strong>: <span>28/11/2018.</span></p> <p><strong>Proyecto </strong>: <span>Recursos Botánicos Disponibles en Línea (BRAVO) para la flora colombiana</span></p> <p><strong>Continente</strong>: <span>SA</span></p> <p><strong>Pais</strong>: <span>Colombia</span></p> <p><strong>Estado/Provincia</strong>: <span>Chocó</span></p> <p><strong>Municipio</strong>: <span>Bahía Solano</span></p> <p><strong>Centro poblado / Cabecera municipal</strong>: <span>Jardín Botánico del Pacifico</span></p> <p><strong>Elevación minima en metros</strong>: <span>0</span></p> <p><strong>Elevación maxima en metros</strong>: <span>200</span></p> <p><strong>Latitud</strong>: <span>6.26924</span></p> <p><strong>Longitud original</strong>: <span>-77.385422</span></p> <p><strong>datum geodésico</strong>: <span>WGS 84</span></p> <p><strong>Latitud decimal</strong>: <span>6.26924</span></p> <p><strong>Longitud decimal</strong>: <span>-77.385422</span></p> <p><strong>Identificado por</strong>: <span>Jaime Cabezas </span></p> <p><strong>Fecha de identificación</strong>: <span>05/10/2019.</span></p> <p><strong>Familia antigua</strong>: <span>Malvaceae</span></p> <p><strong>Especie antigua</strong>: <span>Matisia leptandra</span></p> <p><strong>Nombre cientifico</strong>: <span>Phragmotheca hydra Fern. Alonso</span></p> <p><strong>Reino</strong>: <span>Plantae</span></p> <p><strong>Filo</strong>: <span>Magnoliophyta</span></p> <p><strong>Clase</strong>: <span>Equisetopsida</span></p> <p><strong>Orden</strong>: <span>Malpighiales </span></p> <p><strong>Familia nueva</strong>: <span>Malvaceae</span></p> <p><strong>Género nuevo</strong>: <span>Phragmotheca</span></p> <p><strong>especie nueva</strong>: <span>hydra</span></p> <p><strong></strong>: <span>Fern. Alonso</span></p> <p><strong>genero herbario</strong>: <span>Phragmotheca</span></p> <p><strong>especie herbario</strong>: <span>hydra</span></p> <p><strong>Especie de herbario para TNRS</strong>: <span>Phragmotheca hydra</span></p> <p><strong>Especie corregida herbario y desde TNRS</strong>: <span>Phragmotheca hydra</span></p> <p><strong>Familia corregida desde TNRS</strong>: <span>Malvaceae</span></p> <p><strong></strong>: <span>278</span></p>
Ensemble synchronization in the reassembly of Hydra's nervous system
<p class="Default">Although much is known about how the structure of the nervous system develops, it is still unclear how its functional modularity arises. A dream experiment would be to observe the entire development of a nervous system, correlating the emergence of functional units with their associated behaviors. This is possible in the cnidarian <i>Hydra vulgaris</i>, which, after its complete dissociation into individual cells, can reassemble itself back together into a normal animal. We used calcium imaging to monitor the complete neuronal activity of dissociated <i>Hydra </i>as they re-aggregated over several days. Initially uncoordinated neuronal activity became synchronized into coactive neuronal ensembles. These local modules then synchronized with others, building larger functional ensembles that eventually extended throughout the entire reaggregate, generating neuronal rhythms similar to those of intact animals. Global synchronization was not due to neurite outgrowth but to strengthening of functional connections between ensembles. We conclude that <i>Hydra's</i> nervous system achieves its functional reassembly through the hierarchical modularity of neuronal ensembles.</p>
Supplementary Information – HyDRA challenge
<p>Related Output files for the geometry optimizations (wB97xD/def2-TZVP) of train and blind set of Hydra Challenge.</p>
Data from: Parasite-driven cascades or hydra effects: susceptibility and foraging depression shape parasite-host-resource interactions
<p>This contains data for the manuscript listed in the title.<br><br>We measured the foraging rates of individual zooplankton hosts, <em>Daphnia dentifera</em>, on phytoplankton resources, <em>Ankistrodesmus falcatus</em>, in the presence of fungal parasites of zooplankton, <em>Metschnikowia bicuspidata</em>. Some of these data are previously published (Genotypes12_foraging.csv by Strauss, Alexander T., et al. "Genotypic variation in parasite avoidance behaviour and other mechanistic, nonlinear components of transmission." <em>Proceedings of the Royal Society B</em> 286.1915 (2019): 20192164.) and some are published now for the first time (Genotype3_foraging.csv).<br><br>In addition, we present novel evidence from a mesocosm experiment (Mesocosm_data1.csv-Mesocosm_data20.csv) of populations of each genotype or each pair of genotypes with phytoplankton resources and fungal parasites present or absent; our last treatment was low or high nutrient supply for the phytoplankton. With data on infection prevalence, host density, and phytoplankton density, we show how host traits and nutrients control outcomes for prevalence, host density, and phytoplankton density.<br><br>These data may be reused with appropriate citation.</p>
12 selected stations from NVE Hydra II for QDF analysis
<p>Streamflow data, in cubic meters per second, and date in YYYMMDD/HHMM for twelve hydrologic gauging stations in Norway. </p> <p>Filename - station name:</p> <p>35_2000013 - Sjodalsvatn</p> <p>35_6000010 - Gryta</p> <p>35_11000004 - Elgtjern</p> <p>35_12000070 - Etna</p> <p>35_16000066 - Grosettjern</p> <p>35_19000079 - Gravå</p> <p>35_55000004 - Røykenes</p> <p>35_55000005 - Dyrdalsvatn</p> <p>35_83000002 - Viksvatn</p> <p>35_122000017 - Hugdal Bru</p> <p>35_138000001 - Øyungen</p> <p>35_206000003 - Manndalen Bru</p>
RNA-seq of green hydra strains' ( Hydra viridissima) response to the removal or exchange of symbionts
<p>The symbiotic hydra <em>Hydra </em><em>viridissima</em> has a stable symbiotic relationship with the green alga <em>Chlorella</em>. This hydra appears to cospeciate with the symbiotic alga, and some strains are known to have strain-specific host/symbiont combinations. To investigate the mechanism of the specificity between host and symbiont, we explored the effect of the removal or exchange of symbionts in two distantly related <em>H. viridissima</em> strains (K10 and M9). In this study, we compared the gene expression of symbiont-removed, symbiont-exchanged hosts for each strain. The data include the raw read fastaq, assembled sequences, and read counts of RNA-seq. We also attached the results of differential gene expression analyses for all combinations of the hosts. </p>
Figure 5 in Statistical analysis on the cnidome of genus Hydra using Generalized Linear Models
Figure 5. Relative abundances of each type of cnidocyst for each species. (A) stenotele, (B) desmoneme, (C) atrichous isorhiza and (D) holotrichous isorhiza.
Figure 1 in Statistical analysis on the cnidome of genus Hydra using Generalized Linear Models
Figure 1. Cnidome of Hydra viridissima. (A) stenotele, (B) desmoneme, (C) atrichous isorhiza and (D) holotrichous isorhiza. Scale bar: 3 μm.
Figure 4 in Statistical analysis on the cnidome of genus Hydra using Generalized Linear Models
Figure 4. Different morphotypes of holotrichous isorhiza. (A) Hydra viridissima, (B) Hydra vulgaris pedunculata, C and (D) Hydra vulgaris. Scale bar: 2.45 μm.
Figure 8 in Statistical analysis on the cnidome of genus Hydra using Generalized Linear Models
Figure 8. GLM adjustment graphs used for comparison between species. (A) scatter plot, (B) Q-Q Plots.
Figure 3 in Statistical analysis on the cnidome of genus Hydra using Generalized Linear Models
Figure 3. Cnidome of Hydra vulgaris pedunculata. (A) stenotele, (B) desmoneme, (C) atrichous isorhiza and (D) holotrichous isorhiza. Scale bar: 2.7 μm.
Figure 2 in Statistical analysis on the cnidome of genus Hydra using Generalized Linear Models
Figure 2. Cnidome of Hydra vulgaris. (A) stenotele, (B) desmoneme, (C) atrichous isorhiza and (D) holotrichous isorhiza. Scale bar: 2.85 μm.
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