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564 results for “June”
Figure 3. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 3. - Field sampling with yellow pan traps in Tuscany claystones (courtesy of D. Inclán).
Figure 2. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 2. - Malaise trap in an oak-hornbeam forest in north-eastern Italy.
Figure 1. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 1. - Italian administrative regions.
Figure 7. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 7. - Agrothereutesmonticola (Habermehl, 1935), female.
Figure 6. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 6. - Teleutaeastriata (Gravenhorst, 1829), male.
Figure 5. from: New records of Ichneumonidae (Hymenoptera) for the Italian fauna - Biodiversity Data Journal 3: e5057 (19 June 2015) https://doi.org/10.3897/BDJ.3.e5057
Figure 5. - Baranisobashibericus Heinrich, 1972, female, dorsal view.
Figure 3b. 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 3b. - Horniolussororius sp. n.Figure 3a.Dorsal viewFigure 3b.Lateral view <br> Lateral view
Figure 3a. 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 3a. - Horniolussororius sp. n.Figure 3a.Dorsal viewFigure 3b.Lateral view <br> Dorsal view
Photometer Network - June - 2017
<p>Dataset with the measurements taken by the STARS4ALL photometers network</p>
PheKnowLator Human Disease KG Benchmarks: Class-Inverse Relations-OWL (v2.1.0 - June 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Class-Inverse Relations-OWL</i></p><p><strong>Build Date: </strong>June 01, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/June-01%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWL (v2.1.0 - June 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Instance-Standard Relations-OWL</i></p><p><strong>Build Date: </strong>June 01, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/June-01%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Instance-Standard Relations-OWLNETS (v2.1.0 - June 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Instance-Standard Relations-OWLNETS</i></p><p><strong>Build Date: </strong>June 01, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/June-01%2C-2021">here</a>.</li></ul>
PheKnowLator Human Disease KG Benchmarks: Class-Standard Relations-OWLNETS (v2.1.0 - June 2021)
<p><strong>PKT Human Disease Knowledge Graph Benchmark Builds (v2.1.0)</strong></p><p><strong>Build Type: </strong><i>Class-Standard Relations-OWLNETS</i></p><p><strong>Build Date: </strong>June 01, 2021</p><p> </p><h3><strong>Important Build Information</strong></h3><p>The benchmarks were originally built and stored using Google Cloud Platform (GCP) resources. For details and a complete description of this process, can be found on GitHub (<a href="https://github.com/callahantiff/PheKnowLator/tree/master/builds#readme">here</a>). Note that we have developed an archive for the builds on Zenodo. While the original GCP resources contained all associated files, due to the file size upload limits associated with each archive, we have limited the uploaded files to the KGs, associated metadata, and log files. The list of resources, including their URLs, and date of download, can all be found in the associated logs.</p><p>Details on each of the files generated by the build process can be found in the file associated with this directory (<a href="https://zenodo.org/records/10065431/files/PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx?download=1">PheKnowLator_HumanDiseaseKG_Output_FileInformation.xlsx</a>).</p><p> </p><p>🚨 <strong>AVAILABLE FILES </strong>🚨 </p><ul><li>Available KG benchmark files are zipped and listed below.</li><li>For additional details on what each file contains, please see the associated Wiki page 👉 <a href="https://github.com/callahantiff/PheKnowLator/wiki/June-01%2C-2021">here</a>.</li></ul>
Binned TIMED/SEE VUV irradiance data (January 2002 to June 2013)
<p>This dataset contains the binned EUV irradiance daily index from January 2002 to June of 2013. </p>
Aerosol, Temperature and Water Vapor profiling during the BIOSPHERE Athens Campaign - NTUA - Level 3 - June 2023
<p>June 2023 - Level 3 of the lidar data obtained by the EOLE and DEPOLE lidar systems in the National Technical University of Athens (NTUA), during the EURAMET European Partnership on Metrology (EPM) project BIOSPHERE.</p>
Saltoun Mausoleum, Fraserburgh - June 2020
Photogrammetry model of Saltoun Mausoleum, Fraserburgh. Survey undertaken 09/06/20. Model created using 891 images, captured on a Nikon DSLR camera. Source: Objaverse 1.0 / Sketchfab
Nam June Paik - Requiem for the 20th Century
1936 Chrysler Airstream, video, audio, monitors, speakers 1997, this 3D scan 2014 Scanned at: deCordova Sculpture Garden Source: Objaverse 1.0 / Sketchfab
Nam June Paik - Requiem for the 20th Century
1936 Chrysler Airstream, video, audio, monitors, speakers 1997, this 3D scan 2014 Scanned at: deCordova Sculpture Garden Source: Objaverse 1.0 / Sketchfab
IGS TEC data grid, 10-16 June 2022
<p>This dataset provides the processed IGS TEC map data that were used in the study by Stephan et al. (2024, submitted).</p> <p>Data are an IDL save set, with the following gridded arrays:</p> <p>; IGSDATE FLOAT = griday[6, 576]<br>; IGSDOY FLOAT = griday[576] ; DOY 161 to 167, corresponding to June 10-16 2022<br>; IGSLAT FLOAT = griday[71]<br>; IGSLON FLOAT = griday[73]<br>; IGSTEC FLOAT = griday[73, 71, 576]<br>;</p> <p>Elements within IGSDATE array:<br>;print, igsdate(*,0)<br>; year month dom hour min sec <br>;2022.00 6.00000 11.0000 0.00000 0.00000 0.00000</p>
Meteorological Data from Chios: June 2024 Baseline Measurements for the MUSICA Project
<h2><strong>June 2024 – Chios (Chiostown)</strong></h2> <h3>Introduction</h3> <p>The present meteorological data is collected from the weather station in Chiostown, located in Chios, and is published on the Zenodo platform for open access. The station is positioned at an elevation of 32 meters, and the data includes measurements of temperature, rainfall, wind speed, and wind direction, covering the period from June 1st to June 30th, 2024. These measurements are conducted as part of the <strong>MUSICA</strong> project, which aims to monitor climate changes in the Chiostown area and the broader region of Chios. The data for June 2024 captures the onset of summer, with rising temperatures and the absence of rainfall, reflecting typical seasonal patterns for the region.</p> <p>The files include:</p> <ul> <li><strong>Date and time of recording</strong>: For accurate time tracking of the data.</li> <li><strong>Temperature</strong>: Daily average, maximum, and minimum temperatures in degrees Celsius (°C).</li> <li><strong>Rainfall</strong>: Daily rainfall in millimeters (mm).</li> <li><strong>Wind speed</strong>: Average and maximum daily wind speed in kilometers per hour (km/h).</li> <li><strong>Wind direction</strong>: The prevailing wind direction of the day.</li> </ul> <h3>Data Highlights for June 2024</h3> <ul> <li><strong>Highest temperature</strong>: 36.7°C, recorded on June 13th, 2024, at 16:50.</li> <li><strong>Lowest temperature</strong>: 16.6°C, recorded on June 1st, 2024, at 04:00.</li> <li><strong>Total rainfall</strong>: No rainfall was recorded throughout June 2024.</li> <li><strong>Highest wind speed</strong>: 53.1 km/h, recorded on June 21st, 2024, at 16:20.</li> </ul> <h3>Data Usage</h3> <p>The data is free to use. Users are welcome to download, analyze, and utilize the data for personal, educational, or research purposes, as well as for developing applications and tools that contribute to understanding and addressing weather and climate phenomena.</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.