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564 results for “June”
Figure 2b. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 2b. - Diagnostic characters of Scymnus (Pullus) rajeshwariae sp. n.Figure 2a.Prosternal processFigure 2b.Tarsal claw in female (left) and male (right)Figure 2c.Abdominal postcoxal lineFigure 2d.Male genitalia: Tegmen, lateral viewFigure 2e.Male genitalia: Tegmen, ventral viewFigure 2f.Male genitalia: Penis <br> Tarsal claw in female (left) and male (right)
Figure 4b. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 4b. - Diagnostic characters of Horniolussororius sp. n.Figure 4a.Abdominal postcoxal lineFigure 4b.Male genitalia: Tegmen, ventral viewFigure 4c.Male genitalia: Tegmen, ventral viewFigure 4d.Male genitalia: PenisFigure 4e.Male genitalia: Penis apexFigure 4f.Female genitalia: Spermatheca <br> Male genitalia: Tegmen, ventral view
Figure 2f. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 2f. - Diagnostic characters of Scymnus (Pullus) rajeshwariae sp. n.Figure 2a.Prosternal processFigure 2b.Tarsal claw in female (left) and male (right)Figure 2c.Abdominal postcoxal lineFigure 2d.Male genitalia: Tegmen, lateral viewFigure 2e.Male genitalia: Tegmen, ventral viewFigure 2f.Male genitalia: Penis <br> Male genitalia: Penis
Figure 1d. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 1d. - Scymnus (Pullus) rajeshwariae sp. n.Figure 1a.Larva feeding on Pseudoregmabambusicola on bambooFigure 1b.Larva feeding on Pseudoregmabambusicola on bambooFigure 1c.Larva feeding on Pseudoregmabambusicola on bambooFigure 1d.Adult feeding on Pseudoregmabambusicola on bambooFigure 1e.Adult, dorsal viewFigure 1f.Female genitalia: Spermatheca <br> Adult feeding on Pseudoregmabambusicola on bamboo
Figure 1c. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 1c. - Scymnus (Pullus) rajeshwariae sp. n.Figure 1a.Larva feeding on Pseudoregmabambusicola on bambooFigure 1b.Larva feeding on Pseudoregmabambusicola on bambooFigure 1c.Larva feeding on Pseudoregmabambusicola on bambooFigure 1d.Adult feeding on Pseudoregmabambusicola on bambooFigure 1e.Adult, dorsal viewFigure 1f.Female genitalia: Spermatheca <br> Larva feeding on Pseudoregmabambusicola on bamboo
Figure 1f. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 1f. - Scymnus (Pullus) rajeshwariae sp. n.Figure 1a.Larva feeding on Pseudoregmabambusicola on bambooFigure 1b.Larva feeding on Pseudoregmabambusicola on bambooFigure 1c.Larva feeding on Pseudoregmabambusicola on bambooFigure 1d.Adult feeding on Pseudoregmabambusicola on bambooFigure 1e.Adult, dorsal viewFigure 1f.Female genitalia: Spermatheca <br> Female genitalia: Spermatheca
Figure 4a. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 4a. - Diagnostic characters of Horniolussororius sp. n.Figure 4a.Abdominal postcoxal lineFigure 4b.Male genitalia: Tegmen, ventral viewFigure 4c.Male genitalia: Tegmen, ventral viewFigure 4d.Male genitalia: PenisFigure 4e.Male genitalia: Penis apexFigure 4f.Female genitalia: Spermatheca <br> Abdominal postcoxal line
Figure 2e. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 2e. - Diagnostic characters of Scymnus (Pullus) rajeshwariae sp. n.Figure 2a.Prosternal processFigure 2b.Tarsal claw in female (left) and male (right)Figure 2c.Abdominal postcoxal lineFigure 2d.Male genitalia: Tegmen, lateral viewFigure 2e.Male genitalia: Tegmen, ventral viewFigure 2f.Male genitalia: Penis <br> Male genitalia: Tegmen, ventral view
Figure 1e. from: Two new species of Scymnini (Coleoptera: Coccinellidae) from Karnataka, India - Biodiversity Data Journal 3: e5296 (22 June 2015) https://doi.org/10.3897/BDJ.3.e5296
Figure 1e. - Scymnus (Pullus) rajeshwariae sp. n.Figure 1a.Larva feeding on Pseudoregmabambusicola on bambooFigure 1b.Larva feeding on Pseudoregmabambusicola on bambooFigure 1c.Larva feeding on Pseudoregmabambusicola on bambooFigure 1d.Adult feeding on Pseudoregmabambusicola on bambooFigure 1e.Adult, dorsal viewFigure 1f.Female genitalia: Spermatheca <br> Adult, dorsal view
Level A Pan Europe Solar Index for estimation of Potential evaporation June
Solar Index for estimation of Potential evaporation June. Solar Index (SI) maps are input needed for spatial estimation of potential evaporation by using modified Blaney Criddle method (Schrödter 1985, Parajka et al., 2003). SI maps are available for each month. SI maps are available for each month. Spatial resolution: 1km2. Solar Index maps (SI_xxx) for estimation of potential evaporation by using modified Blaney Criddle method. Maps are available for each month (xxx). Format ArcGIS ASCII grid. Maps are estimated from GTOPO30 DEM. Coordinates: geographical. SI index is estimated in GIS GRASS (r.sun module).
ADAPT/SIFT Solar Magnetic Sums (June 1992 to May 2017)
<h2>General Description:</h2><p>The magSum data file includes the values for the magnetic sums of photospheric magnetic flux on the Earth-side of the Sun (also referred to as magnetic indices, MIs) based on ADAPT (Air Force Data Assimilative Photospheric Flux Transport) global solar magnetic maps (<a href="https://doi.org/10.1029/2011SW000748">Henney et al. 2012</a> and <a href="https://doi.org/10.1002/2014SW001118">Henney et al. 2015</a>; plus see, e.g., Arge et al. 2010; Hickmann et al. 2015). The solar MIs data is typically used as a measure of solar activity (see, e.g., Parker et al. 1997; Chapman and Boyden 1986). In addition, the solar magSum data is applied as an input to the SIFT (Solar Indices Forecasting Tool) model to forecast/estimate, e.g., the solar radio flux at 10.7 cm (i.e., F10.7), Mg II index, sunspot number (SSN), and EUV/FUV irradiance variability (see <a href="https://doi.org/10.1029/2011SW000748">Henney et al. 2012</a> and <a href="https://doi.org/10.1002/2014SW001118">Henney et al. 2015</a>). To read more about SIFT real-time forecasts, see <a href="https://nso.edu/data/nisp-data/sift-forecasts/">https://nso.edu/data/nisp-data/sift-forecasts/</a>. The ADAPT maps used here were generated using input magnetograph data from ground-based instruments from the National Solar Observatory, specifically the Kitt Peak Vacuum Telescope [KPVT] and the Vector SpectroMagnetograph [VSM]. The magnetic sums are the absolute magnetic field of the Earth side pixels from ADAPT global maps within two bins: values greater than 20 G and less than 150 G (representing a plage index, M_P) and greater than or equal to 150 G (representing an active region index, M_A).</p>
Vertical profiles of stable water isotopes and thermodynamic properties from research flights during the L-WAIVE field campaign in June 2019
<p>This datasets contains the measurements of stable water isotopes conducted during the Lacustrine-Water vApor Isotope inVentory Experiment (L-WAIVE) field campaign taking place in June 2019 in the Annecy valley in the French Alps (Chazette et al. 2021). The measurements were conducted using a Picarro laser spectrometer L2130-i that was installed on an ultralight aircraft. The Picarro measurements of atmospheric humidity are merged measurements of thermodynamic properties by a fast-response temperature and humidity probe (iMet XQ-2; see also Chazette et al. 2021) interpolated on 10s temporal resolution.</p> <p>The data is provided on a one file per flight. All variables are described in README.</p> <p>This dataset has been used in Thurnherr et al. (submitted) for a comparison study of stable water isotopes measurements from various platforms and COSMOiso model simulations.</p>
Vertical profiles of air temperature, relative humidity, wind speed and direction observed using UAV over the Mukhrino peatland in June 2022
<p>Vertical profiles of air temperature and relative humidity were measured using the iMetXQ2 sensor onboard DJI Phantom 4 quad-copter; vertical profiles of wind speed and direction were obtained from the Phantom 4 flight logs as produced by the DJI proprietary algorithm. </p>
Recurring Trans-Atlantic Dust Pathways during June-July
<p>These data represent a self-organizing map (SOM) classification of all trans-Atlantic integrated dust fluxes (IDT) between June-July 1981-2020 as presented in:</p><p><strong>Miller, P. W., </strong>and C. Ramseyer, In press: The relationship between the Saharan Air Layer, convective environmental conditions, and precipitation in Puerto Rico. <i>Journal of Geophysical Research: Atmospheres</i>. </p><p>Each daily IDT field is paired to one of 12 discrete pathways in idt_bmus_junjul.csv. The mean composite IDT over the tropical North Atlantic for each of these 12 patterns, as well as the mean composite Galvez-Davison Index (ERS_idt_node_gdi_1981_2020_junjul.nc) and mean composite precipitation over Puerto Rico (ERS_idt_node_prcp_1981_2020_junjul.nc) for the same node-date pairings are also provided. See the above-referenced manuscript for more details.</p>
Dataset shown on the HMC FAIR Data Dashboard as of June 2023
<p>This dataset contains literature metadata harvested for 15 research centers of the Helmholtz Association of German research centers (KIT, FZJ, DESY, AWI, DLR, GFZ, HZB, GEOMAR, MDC, UFZ, HZDR, DZNE, GSI, CISPA, HMGU) during the first two quarters of 2023 as well as metadata of linked data publications, as extracted from the ScholExplorer API. F-UJI scores for these data publications are based on F-UJI version 1.4.7 using the FAIRsFAIR metrics 0.4. The status of the data represents the data shown on the HMC Dashboard on Open and FAIR Data in Helmholtz (<a title="https://fairdashboard.helmholtz-metadaten.de/" href="https://fairdashboard.helmholtz-metadaten.de/">https://fairdashboard.helmholtz-metadaten.de/</a>) as of June 2023.</p>
Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June. in Review of methods for the forecast of mollusk's spat productivity in sea-farms of Primorye and probable ways of their enhancement
Рис. 5. Зависимость начала нереста приморского гребешка и тихоокеанской устрицы в Зал. Петра Великого от суммы поверхностных температур (март–июнь): 1 – начало нереста приморского гребешка; 2 – начало нереста тихоокеанской устрицы; 3 – сумма поверхностных температур За период с марта по июнь. Fig. 5. Dependence of start of spawning of the Japanese scallop and Pacific (giant) oyster in Peter the Great Bay on the sum of sea surface temperatures (March–June): 1 – beginning of spawning of the Japanese scallop; 2 – beginning of spawning of the Pacific oyster; 3 – sum of sea surface temperatures for the period from March to June.
Solar and meteorological data collected from the Cilaos Bras Sec station (La Réunion) by the ENERGY-lab at the University of La Reunion between December 2012 and June 2013
<p>Scientific data provided by ENERGY-lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Caverne Dufour station (La Réunion) by the ENERGY-Lab at the University of La Reunion between June 2021 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Piton des Neiges station (La Réunion) by the ENERGY-Lab at the University of La Reunion between June 2021 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
Solar and meteorological data collected from the Marla station (La Réunion) by the ENERGY-Lab at the University of La Reunion between June 2023 and December 2024
<p>Scientific data provided by ENERGY-Lab located at the University of La Reunion. These data come from solar and meteorological stations present in the following territories: La Reunion, Comoros, Madagascar, Mauritius, Seychelles and South Africa. A THREDDS Data Server was created as part of the IOS-net (Indian Ocean Solar Network, https://galilee.univ-reunion.fr) project which aims to study the solar field and the optimisation of intelligent solar energy systems in the countries of the IOC (Indian Ocean Commission). These data are served by Unidata's Thematic Realtime Environmental Distributed Data Services (THREDDS) Data Server (TDS) in a variety of interoperable data services and output formats.</p> <p>Dataset is available from the THREDDS Data Server to this url: <a href="https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html"> https://galilee.univ-reunion.fr/thredds/catalog/dataStations/catalog.html</a>.</p> <p>Data are also viewable and exploitable on the mobile application of the IOS-net project. The SolarIO app is downloadable in all stores.</p> <p><strong><em>ENERGY-Lab data may be reused, provided that related metadata explaining the data has been reviewed by the user, and that the data are appropriately acknowledged.</em></strong></p>
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.