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5,954 results for “wasps”
Mapping of multiple complementary sex determination loci in a parasitoid wasp
<p>Files required to reproduce the analysis from the manuscript "Mapping of Multiple Complementary Sex Determination Loci in a Parasitoid Wasp" published in Genome Biology and Evolution (doi: 10.1093/gbe/evz219). The code is hosted on the github repository CSD_lfabarum github repository (https://github.com/cmdoret/CSD_lfabarum.</p>
Products and Models for "Early Release Science of the Exoplanet WASP-39b with JWST NIRCam"
<p>Associated Publication: <a href="https://www.nature.com/articles/s41586-022-05590-4">https://www.nature.com/articles/s41586-022-05590-4</a><br> <br> OVERVIEW: Measuring the metallicity and carbon-to-oxygen (C/O) ratio in exoplanet atmospheres is a fundamental step towards constraining the dominant chemical processes at work and, if in equilibrium, revealing planet formation histories. Transmission spectroscopy<sup> </sup>provides the necessary means by constraining the abundances of oxygen- and carbon-bearing species; however, this requires broad wavelength coverage, moderate spectral resolution, and high precision that, together, are not achievable with previous observatories. Now that JWST has commenced science operations, we are able to observe exoplanets at previously uncharted wavelengths and spectral resolutions. Here we report time-series observations of the transiting exoplanet WASP-39b using JWST’s Near InfraRed Camera (NIRCam). The long-wavelength spectroscopic and short-wavelength photometric light curves span 2.0 – 4.0 µm, exhibit minimal systematics, and reveal well-defined molecular absorption features in the planet’s spectrum. Specifically, we detect gaseous H<sub>2</sub>O in the atmosphere and place an upper limit on the abundance of CH<sub>4</sub>. The otherwise prominent CO<sub>2</sub> feature at 2.8 µm is largely masked by H<sub>2</sub>O. The best-fit chemical equilibrium models favour an atmospheric metallicity of 1–100× solar (i.e., an enrichment of elements heavier than helium relative to the Sun) and a sub-stellar carbon-to-oxygen (C/O) ratio. The inferred high metallicity and low C/O ratio may indicate significant accretion of solid materials during planet formation<sup> </sup>or disequilibrium processes in the upper atmosphere.</p>
Synchrotron X-ray Computed Tomography scan of a wasp
<h4>Contents:</h4><ul><li><i>bee_yazeed-20231001T170032.h5</i> - SXCT scan of a wasp performed at beamline <a href="https://www.sesame.org.jo/beamlines/beats">ID10-BEATS</a> of SESAME.</li><li><i>SESAME_wasp_yazeed.avi -</i> 3D video rendering of phase-contrast CT reconstruction of <i>bee_yazeed-20231001T170032</i>. The dataset was reconstructed using <a href="https://github.com/gianthk/alrecon/tree/master">alrecon</a>. The video was created using ORS Dragonfly.</li></ul><h4>H5 dataset information:</h4><ul><li>Raw experimental data (sinogram, flat fields and dark fields) and metadata are stored in a common .H5 file.</li><li>The HDF5 file is organized hierarchically following the <a href="https://dxfile.readthedocs.io/en/latest/">Scientific Data Exchange (DXfile)</a> community standard.</li></ul><h4>How to reconstruct:</h4><ul><li>You can use <a href="http://www.silx.org/">Silx</a> to read and explore the .H5 dataset.</li><li>The file can be read within Python using the <a href="https://dxchange.readthedocs.io/en/latest/">DXChange</a> package.</li><li>See the <a href="https://beats.readthedocs.io/reconstruction.html">ID10-BEATS beamline user guide</a> for a detailed description on how to process and reconstruct the scan.</li></ul>
Dataset for "Implementation of disequilibrium chemistry to spectral retrieval code ARCiS and application to 16 exoplanet transmission spectra. Indication of disequilibrium chemistry for HD 209458b and WASP-39b"
<p>This is the supplemental materials for the Astronomy & Astrophysics publication "Implementation of disequilibrium chemistry to spectral retrieval code ARCiS and application to 16 exoplanet transmission spectra. Indication of disequilibrium chemistry for HD 209458b and WASP-39b". Please refer to "README.md" for details.</p>
Geostrophic wind shear from CFSR v2 data for usage in WAsP
<p>The change of the geostrophic wind speed has an impact on boundary layer mixing that can be important for microscale flow modelling for wind energy purposes. The WAsP software is often used for this purpose. This dataset contains the climatological geostrophic wind shear and direction over the whole global on a 0.5 degree grid that has been used in WAsP 12. It was obtained from the 6-hourly CFSR v2 reanalysis for the period 2011 to 2017 (see https://doi.org/10.5065/D61C1TXF). The omni-directional geostrophic wind shear vector denotes how much the geostrophic wind speed is changing over a certain vertical distance. Because we are interested in geostrophic wind shear changes that contribute to turbulent mixing in the atmospheric boundary layer, it was estimated by using the data on pressure levels from the pressure level closest to the surface up to 500 hPa above that heights.p><p dir="ltr">More details about the implementation of the model in the WAsP software and a validation can be found in the corresponding technical report:<br>Floors, R. R., Troen, I., & Kelly, M. C. (2018). <i>Implementation of large-scale average geostrophic wind shear in WAsP12.1i>. DTU Wind Energy. DTU Wind Energy E No. 0169p><p><br>p><ul><li>meandgdz_2010_2017_CFSRv3.nc: version with coordinate reference system in the coordinates for usage in GIS programs. NaN values at the poles are filled with 0.0, i.e. assuming barotropic atmosphere, which avoids crashes in the pywasp code. A single sector variable has been added, indicating that these values are valid for all wind direction, as opposed to other files that have values for each wind direction sector (for example: https://data.dtu.dk/articles/dataset/ERA5_atmospheric_stability_for_usage_in_WAsP_12_8/19576042). Naming conventions are in accordance with the windkit package (https://docs.wasp.dk/windkit/)</p> <p>Mirror of https://data.dtu.dk/articles/dataset/Geostrophic_wind_shear_from_CFSR_v2_data_for_usage_in_WAsP/21975482</p>
Annual land cover maps of Germany based on Sentinel-2 MSI Level 3A (WASP) data
<p>Overview:<br> This annual land cover product is available for the years 2016, 2019, 2020, 2021 for the whole of Germany. It was generated based on Sentinel-2 MSI L3A WASP Data provided by DLR (https://geoservice.dlr.de/data-assets/4hcq6dgkj648.html). For a complete description of the classification procedure please refer to<br> Riembauer, G.; Weinmann, A.; Xu, S.; Eichfuss, S.; Eberz, C.; Neteler, M.: Germany-wide Sentinel-2 based land cover classification and change detection for settlement and infrastructure monitoring. In: Proceedings of the 2021 conference on Big Data from Space (doi:10.2760/125905), 2021.</p> <p>Source data:</p> <ul> <li>Satellite data <ul> <li>German Aerospace Center (DLR): Sentinel-2 MSI - Level 3A (MAJA/WASP Tiles) - Germany, DOI: 10.15489/4hcq6dgkj648</li> </ul> </li> <li>Auxiliary data <ul> <li>European Union, Copernicus Land Monitoring Service, European Environment Agency (EEA), <strong>Copernicus High Resolution Layer: Imperviousness Status Map, 2018 </strong>(https://land.copernicus.eu/pan-european/high-resolution-layers/imperviousness/status-maps/imperviousness-density-2018)</li> <li><strong>OpenStreetMap</strong> Planet dump retrieved from https://planet.osm.org, https://www.openstreetmap.org</li> <li><strong>S2GLC Map of Europe</strong> (R. Malinowski, S. Lewiński, M. Rybicki, E. Gromny, M. Jenerowicz, M. Krupiński, A. Nowakowski, C. Wojtkowski, M. Krupiński, E. Krätzschmar, and P. Schauer, "Automated Production of a Land Cover/Use Map of Europe Based on Sentinel-2 Imagery," Remote Sensing, vol. 12, no. 21, p. 3523, 2020.)</li> </ul> </li> </ul> <p>File naming:<br> classification_map_germany_[year].tif example: classification_map_germany_2020.tif</p> <p>Projection + EPSG code:<br> WGS 84 / UTM zone 32N (EPSG: 32632)</p> <p>Spatial extent:<br> north: 55:03:38.646483N<br> south: 47:08:24.738401N<br> west: 5:33:47.816647E<br> east: 15:34:24.108516E</p> <p>Spatial resolution:<br> 10 m</p> <p>Format: COG (Cloud-Optimized GeoTIFF)</p> <p>Pixel values:<br> 10: forest<br> 20: low vegetation<br> 30: water<br> 40: built-up<br> 50: bare soil<br> 60: agriculture</p> <p>Temporal coverage:<br> Years 2016, 2019, 2020, 2021</p> <p>Software used:<br> GRASS 7.8, actinia</p> <p>Original dataset license:<br> The Sentinel-2 level 3A data produced and distributed by DLR are based on Copernicus Sentinel-2 level 1C data, which are subject to the following license: https://theia.cnes.fr/atdistrib/documents/TC_Sentinel_Data_31072014.pdf One of the following citations is mandatory for using the provided MAJA/WASP L3A product: German Aerospace Center (DLR): Sentinel-2 MSI - Level 3A (MAJA/WASP Tiles) - Germany, DOI: 10.15489/4hcq6dgkj648 or Contains modified Copernicus Sentinel data, processed by DLR, licensed under CC-BY 4.0</p> <p>Processed by:<br> mundialis GmbH & Co. KG, Germany (<a href="https://www.mundialis.de/">https://www.mundialis.de/</a>)</p>
Products and Models for "Detection of carbon monoxide's 4.6 micron fundamental band structure in WASP-39b's atmosphere with JWST NIRSpec G395H"
<p>Overview:</p> <p>Carbon monoxide (CO) is predicted to be the dominant carbon-bearing molecule in giant planet atmospheres, and, along with water, is important for discerning the oxygen and therefore carbon-to-oxygen ratio of these planets. The fundamental absorption mode of CO has a broad double-branched structure composed of many individual absorption lines from 4.3 to 5.1 µm, which can now be spectroscopically measured with JWST. Here we present a technique for detecting the rotational sub-band structure of CO at medium resolution with the NIRSpec G395H instrument. We use a single transit observation of the hot Jupiter WASP-39b from the JWST Transiting Exoplanet Community Early Release Science (JTEC ERS) program at the native resolution of the instrument (R ~ 2700) to resolve the CO absorption structure. We robustly detect absorption by CO, with an increase in transit depth of 264 <span>\(\pm\)</span> 68 ppm, in agreement with the predicted CO contribution from the best-fit model at low resolution. This detection confirms our theoretical expectations that CO is the dominant carbon-bearing molecule in WASP-39b's atmosphere, and further supports the conclusions of low C/O and super-solar metallicities presented in the JTEC ERS papers for WASP-39b. </p>
Fig. 1 in Phylogenetic notes on the rare Mediterranean digger wasp Psenulus fulvicornis (Schenck, 1857) (Hymenoptera: Crabronidae) new to Switzerland
Fig. 1. Sampling sites of Psenulus fulvicornis (Schenck, 1857) (large filled circles) and Psenulus schencki (Tournier, 1889) (squares) used for the DNA barcode sequencing of the mitochondrial cox1 locus. Small filled circles show georeferenced distribution records of P. fulvicornis with confirmed determinations by Schmid-Egger (2002) together with newer records by Gayubo et al. (2012), Mokrousov & Popov (2016), Reder & Niehuis (2014), Standfuss & Standfuss (2012) and Zsolt (2008). The triangle represents the undetermined specimen (PSC-7) from Pisa, Italy.
Fig. 5 in Phylogenetic notes on the rare Mediterranean digger wasp Psenulus fulvicornis (Schenck, 1857) (Hymenoptera: Crabronidae) new to Switzerland
Fig. 5. Maximum likelihood tree showing the phylogenetic relationships within Psenulus taxa based on cox1 and the GTR+G substitution model. All bifurcations with bootstrap values below 60% were collapsed. The bold black lines indicate bootstrap of at least 70% and the thick grey bifurcations 60-70%. Both Diodontus minutus (Fabricius, 1793) and Pemphredon lethifer (Shuckard, 1837) sequences root this tree. Specimens are labelled with the sample ID, their GenBank accession number or the Barcode Identification Number of the BOLD System, and the collection site if known (see supplementary Table S1). Six lineages I–VI were found within the P. fulvicornis-Group.
Figure 8. E in Phylogenetic analysis of species of the neotropical social wasp Epipona Latreille, 1802 (Hymenoptera, Vespidae, Polistinae, Epiponini)
Figure 8. E. niger, propodeum, dorsal view. Scale bar = 1.0 mm. Figure 9. E. guerini, propodeum, dorsal view. Scale bar = 1.0 mm. Figure 10. E. niger, head, dorsal view. Scale bar = 1.0 mm. Figure 11. E. guerini, head, dorsal view. Scale bar = 1.0 mm. Figure 12. E. tatua, Tergum II, dorsal view. Scale bar = 1.0 mm. Figure 13. E. media, Tergum II, dorsal view. Scale bar = 1.0 mm.
Figure 3 in The first fossil leptofoenine wasp (Hymenoptera, Pteromalidae): A new species of Leptofoenus in Miocene amber from the Dominican Republic
Figure 3. Leptofoenus pittfieldae Engel sp. n. (KU DR-019), photomicrograph of male holotype (length of specimen 8.8 mm).
Figure 1 in A checklist to the wasps of Peru (Hymenoptera, Aculeata)
Figure 1. Map of Peru with the 353 collecting localities marked. Density of collecting points for each department is indicated by color intensity.
Figure 1. E in Phylogenetic analysis of species of the neotropical social wasp Epipona Latreille, 1802 (Hymenoptera, Vespidae, Polistinae, Epiponini)
Figure 1. E. quadrituberculata, humeri, dorsal view. Scale bar = 1.0 mm. Figure 2. E. tatua, humeri, dorsal view. Scale bar = 1.0 mm. Figure 3. E. guerini, propodeal concavity, frontal view. Scale bar = 1.0 mm. Figure 4. E. tatua, propodeal cancavity, frontal view. Scale bar = 1.0 mm. Figure 5. E. quadrituberculata, Tergum I, dorsal view. Scale bar = 1.0 mm. Figure 6. E. tatua, Tergum I, dorsal view. Scale bar = 1.0 mm.
Figure 13 in Phylogenetic analysis of species of the neotropical social wasp Epipona Latreille, 1802 (Hymenoptera, Vespidae, Polistinae, Epiponini)
Figure 13. Cladogram of species of Epipona. Character numbers (see table 1) are placed above hash marks, with the state numbers below, separated by ">" to indi- cate the transitions between states. Filled hash marks indicate an uncontroverted step, while open hash marks indicate homoplastic change.
Figure 15 in Geographic variation in host selection in the spider wasps Entypus unifasciatus (Say) and Tachypompilus ferrugineus (Say) (Hymenoptera: Pompilidae)
Figure 15. Combined geographic distribution of 39 host species of Lycosidae, Trechaleidae, Pisauridae, Ctenidae, Zoropsidae, Agelenidae and Sparassidae for Entypus unifasciatus and Tachypompilus ferrugineus based on ~9040 SCAN collection records and online images. Northwestern Mexico is undersampled and Colorado is oversampled on this map. Note scarcity of records from the Pacific Northwest.
Figures 7–12. Tachypompilus ferrugineus, 7 in Geographic variation in host selection in the spider wasps Entypus unifasciatus (Say) and Tachypompilus ferrugineus (Say) (Hymenoptera: Pompilidae)
Figures 7–12. Tachypompilus ferrugineus, 7) Female with immobilized Rabidosa rabida (Lycosidae), adult female, Meadowlands Nature Area, Bergen County, NJ. Photograph © Natalie Gregorio. 8) Female with immobilized Dolomedes albineus (light morph) (Pisauridae), adult female, Wolfskin District, Oglethorpe County, GA. Photograph © Wayne Hughes. 9) Female with immobilized Dolomedes albineus (dark morph) (Pisauridae), adult or subadult female, Azle, Tarrant County, TX. Photograph © Tracey Fandre. 10) Female with immobilized Agelenopsis?naevia (Agelenidae), adult female, Mansfield, Tarrant County, TX. Photograph © Don McMillan. 11) Female with immobilized Cupiennius coccineus (Trechaleidae), adult female, Rancho Naturalista, Cartago Province, Costa Rica. Photograph © Debbie Hall. 12) Female with immobilized Phoneutria boliviensis (Ctenidae), adult female, Playa Paunch near Bluff Beach, Isla Colón, Bocas del Toro Province, Panama. Photograph © Ray Hamilton.
Figures 1–6. Entypus unifasciatus. 1 in Geographic variation in host selection in the spider wasps Entypus unifasciatus (Say) and Tachypompilus ferrugineus (Say) (Hymenoptera: Pompilidae)
Figures 1–6. Entypus unifasciatus. 1) Entypus unifasciatus unifasciatus (Say), female, with immobilized Hogna sp., subadult female (Lycosidae), Clark County, IN. Photograph © David Brown. 2) Entypus unifasciatus unifasciatus, female, with immobilized Dolomedes albineus (Pisauridae) (light morph), adult female, Acadiana Park Nature Station, Lafayette, Lafayette Parish, LA. Photograph © James Beck. 3) Entypus unifasciatus cressoni (Townes), female, with immobilized Olios giganteus (Sparassidae), adult female, Gilbert Riparian Reserve, Maricopa County, AZ. Photograph © Kelly Gibson. 4) Entypus unifasciatus cressoni, female, with immobilized Tigrosa sp. (Lycosidae), adult or subadult female, Santa Elena Canyon, Chihuahua State, Mexico. Photograph © Aaron Balam. 5) Entypus unifasciatus cressoni, female, with immobilized?Ctenus sp. (Ctenidae), adult female, Amozoc, Puebla State, Mexico. Photograph © Luis Fuentes. 6) Entypus unifasciatus cressoni, female, with immobilized Cupiennius salei (Trechaleidae), adult or subadult female, Zihuateutla, Bosque Mesófilo Xecotepec, Puebla State, Mexico. Photograph © A. D. Hernández-Saint Martin.
Figures 4-5 in The first fossil leptofoenine wasp (Hymenoptera, Pteromalidae): A new species of Leptofoenus in Miocene amber from the Dominican Republic
Figures 4-5. Photomicrographs of holotype male of Leptofoenus pittfieldae Engel sp. n. (KU DR-019). 4 Detail of lateral surface of pronotum showing posterior striolate region. 5 Basal third of forewing showing sclerotized spot and distribution of setae along M+Cu and within basal cell.
Figures 1-2 in The first fossil leptofoenine wasp (Hymenoptera, Pteromalidae): A new species of Leptofoenus in Miocene amber from the Dominican Republic
Figures 1-2. Photomicrographs of representative modern Leptofoenus species and lateral aspects of their pronota. 1 Leptofoenus rufus LaSalle and Stage, female. 2 Leptofoenus stephanoides (Roman), male. Specimens from the collection of the Division of Entomology, University of Kansas Natural History Museum.
Fig. 15 in Ichneumonid wasps from Madagascar. VI. The genus Pristomerus (Hymenoptera: Ichneumonidae: Cremastinae)
Fig. 15. Pristomerus vahaza sp. nov. A. ♀, habitus, profile. B. ♀, head, facial. C. ♀, hind femur, profile. D. ♂, hind femur, profile.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research 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.
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.
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.
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.
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.