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564 results for “June”
Mean wind and stability time series at FINO1 between June and July 2015 (from OBLEX-F1)
<p>Data collected from a sonic anemometer mounted at 15m above the mean sea level at the geographical location of FINO1 offshore met-mast. Time series cover yeardays between 160 and 210, 2015.</p> <p>% % Datasets are as follows:</p> <p>% % time15: mean time at each 30-min burst of 15m sonic data.</p> <p>% % umean15: mean wind speed at 15m height from average of each sonic 30-min segment at 15m sonic.</p> <p>% % UU10: wind at 10m heigh from umean15 using logarithmic wind profile.</p> <p>% % ti_ref: reference time - first of January 2015.</p> <p>% % wdir: wind direction at 15m measured from high freq. sonic data.</p> <p>% % wa: wave age data estimated from sonic data and wave phase speed (see OBLEX-F1 data).</p> <p>% % L15: Moninnon-Obukhov length scale measured by 25Hz sonic data at 15m height.</p> <p>% %</p> <p>% % Mostafa Bakhoday Paskyabi, 10 Dec. 2022</p> <p>% % Mostafa.Bakhoday-Paskyabi@uib.no</p> <p> </p> <p> </p>
Four-dimensional wind fields retrieved from FY4B GIIRS during 15-minute interval intensified observations from 24 to 26 June 2022
<p>This dataset is the four-dimensional (time, pressure, u, v) wind fields retrieved from FY4B GIIRS observations with a 15-minute interval during a northeastern cold vortex event in China.</p>
OLAC Nightly Data Dump (XML) from 1 June 2011
<p>Open Language Archive Community (OLAC) Nightly Data Dump (XML) from 1 June 2011. Downloaded on June 1st, therefore likely the nightly compiled on the 31st of May. OLAC <em>does</em> uniquely name the nightly downloads in their uncompressed form, but it does not persist them.</p>
Fungal Planet 2023 June - Penicillium nudgee
<p>Alignment and tree for Penicillium nudgee.</p>
Fungal Planet 2023 June - Aschersonia mackerrasiae
<p>Alignment and tree for Aschersonia mackerrasiae.</p>
BKS SuperDARN data June 2-5, 2022
<p>BKS SuperDARN fitacf3 data between June 2 and 5, 2022.</p>
City of Washington Shipwreck (June 2017)
Model of the *City of Washington* shipwreck in the NOAA Florida Keys National Marine Sanctuary Shipwreck Trail. The ship was built in 1887 in Chester, Penssylvania to transport passengers and cargo between New York, Cuba, and Mexico. The *City of Washington* was present in Havana, Cuba when the *USS Maine* exploded in February 15, 1898, suffering minor damage and rescuing survivors after the blast. The *City of Washington* sank on July 10, 1917 after running aground on Elbow Reef while being towed by the tugboat *Luchenbach #4*. For additional historical and archaeological information, visit http://floridakeys.noaa.gov/shipwrecktrail/cityofwashington.html. The photogrammetric model is composed of 6301 aligned images collected June 2, 2017 by Indiana University and NOAA scientific divers with support from a Preserve America grant. Model area is ~3190 square meters. Estimated error is 0.0032397 m. Model and texture resolution reduced for upload. Matthew Maus, Indiana University. Source: Objaverse 1.0 / Sketchfab
A Prospective Study of Traumatic Eye Injuries in the Period From January 2022 to June 2022 in Sohag University Hospitals
ClinicalTrials.gov study NCT05164588. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Evaluation of the Sanitary Safety of a Healthcare Professional Conference Held 9-11 June 2021 in Paris
ClinicalTrials.gov study NCT04918160. IPD Sharing: NO. Countries: 1. Publications: 1.
Evaluation of Direct Antiviral Treatments Against SARS-CoV-2 in Immunocompromised Patients With Covid-19. A G2i Study, National Multicenter Observational and Retrospective From June 2023 to April 2024
ClinicalTrials.gov study NCT06683937. IPD Sharing: NO. Countries: 1. Publications: 4.
Data from: "White-tailed deer (Odocoileus virginianus) transcriptome assembly and SNP discovery" in Genomic Resources Notes accepted 1 June 2013-31 July 2013
Open the record for dataset details and reuse information.
Data from: "De novo assembled transcriptome of organs involved in reproduction in an endangered endemic Iberian cyprinid fish (Squalius pyrenaicus)" in Genomic Resources Notes Accepted 1 June 2015 to 31 July 2015
Open the record for dataset details and reuse information.
MERLIN H2020 Project: Video of the MERLIN workshop, 8th June 2018 - CIVITTA
<p>Video of the MERLIN workshop, 8th June 2018 - CIVITTA</p>
Fig. 9. Freshfield Insect Survey, June 1959 in The Earwig Collection (Dermaptera) of the Manchester Museum, UK, with a complete type catalogue
Fig. 9. Freshfield Insect Survey, June 1959. Left to right: W.D. Hincks, M.W.R. de Vere Graham, A. Brindle and C.H. Wallace Pugh (MMUE archive).
Figure 2 in The green June beetle (Cotinis nitida) (Coleoptera: Scarabaeidae): local variation in the beetle's major avian predators and in the competition for mates
Figure 2. The first male (on the left) to reach a female has fallen back exposing the upper surface of his mate. A male arriving a short time later has mounted the female and is attempting (unsuccessfully) to copulate with her while she is in copula with the first male. Even after the first male disengaged and left the female she remained unreceptive to the second male.
Data from: "You are not what you eat: massive parallel sequencing reveals that gut microbiome is not diet-related in larval Dilophus febrilis (Diptera: Bibionidae)" in Genomic Resources Notes Accepted 1 June 2015 to 31 July 2015
This article documents the public availability of metagenome sequence data from 454 amplicon sequencing of larval dipteran gut (Dilophus febrilis) and their potential food sources dwarf shrub litter (Vaccinium gaultheroides), grass litter (Dactylis glomerata), and cow dung (Bos primigenius taurus).
FIGURE 1. Periclimenes vaubani Bruce, 1990 in Pontoniine shrimps from the 2003 NORFANZ Expedition, 10 May – 16 June (Crustacea: Decapoda: Palaemonidae)
FIGURE 1. Periclimenes vaubani Bruce, 1990, Male, carapace and rostrum. Scale bar 1.0 mm.
PheKnowLator Human Disease KG Benchmarks: Instance-Inverse 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-Inverse 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-Inverse 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-Inverse 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-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-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>
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.