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564 results for “June”
Catten Stones 03 (June 2012)
Prehistoric carving found in the Catten Stones area of Shipley Glen, Baildon, West Yorkshire. This area of outcrop is referenced IAG136 in Boughey & Vickerman's 2003 publication 'Prehistoric Rock Art of the West Riding', where it's described as: 'Large, flat, striated, pitted bedrock with crack down face. Enclosure type angular grooves and two cups.' The CSI: Rombalds Moor project subsequently referenced the exposure 'Catten Stones 03', and uploaded the record to ERA in 2013. ERA info https://archaeologydataservice.ac.uk/era/section/panel/details.jsf?eraId=2441 Model created from 11 stereo pairs captured by Dave Spencer, Barry Wilkinson and Colin Beecham (CSI team) in July 2013. The imagery forms part of the HLF funded CSI: Rombalds Moor / Watershed Landscape Project archive deposited with ERA/ADS. Source: Objaverse 1.0 / Sketchfab
Dour Hill Long Cairn c (June 2007)
Probable outcrop in a 50 metre long Neolithic Long Cairn within a private plantation on Dour Hill, NW of Rochester, Northumberland. Referenced 'Dour Hill Long Cairn c' on the Beckensall Archive (BA) the motifs are described as: 'About 15 cups, one with a faint penannular, on an almost vertical outcrop at the eastern approach to the mound.' NADRAP added a record to ERA in 2008, but moss and detritus coverage prevented cross referencing of motifs. Historic England scheduling: https://historicengland.org.uk/listing/the-list/list-entry/1009379 ERA & BA info: https://archaeologydataservice.ac.uk/era/section/panel/overview.jsf?eraId=1561 This model just shows a small section of moss covered stone and was created from 3 images captured by Joe Gibson (NADRAP Team 2) in June 2007. The imagery forms part of the full NADRAP archive deposited with Historic England and Northumberland County Council. Source: Objaverse 1.0 / Sketchfab
GNSS data from Irkutsk stations during the 2015 June 22
<p>Raw data from 2 GNSS stations in Irkutsk, Russia during the 2015 June 22. Irk_15JUN22_000000.rar contains S4, phase scintillations records; ISTP_2015_06_22_00.00.00.jps contains L1, L2, P1, P2 records. We upload GPStation-6 and Javad Delta-G3T data. It is raw data in .gps (https://www.novatel.com/assets/Documents/Manuals/om-20000132.pdf) and .GREIS (http://www.javad.com/jgnss/support/manuals.html) formats.</p>
data of precipitation cloud system information for April-June 2018-2022 in South China
<p>The three-dimensional structural information of precipitation cloud systems in South China for April-June 2018-2022 is recorded in this data, including the rain cells': id, latitude, longitude, DSD, precipitation contour, radar reflectivity factor, rainstorm top height, melting layer height and so on.</p>
LPL1 - June 2024
<p>Measurements of LPL1 (Teide NP) in June 2024</p> <p>Tenerife</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL1">info</a></p>
LPL5 - June 2024
<p>Measurements of LPL5 (Tejeda) in June 2024</p> <p>Gran Canaria</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL5">info</a></p>
LPL3 - June 2024
<p>Measurements of LPL3 (Madeira East Coast) in June 2024</p> <p>Madeira</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL3">info</a></p>
LPL11 - June 2024
<p>Measurements of LPL11 (Frontera Rural Park) in June 2024</p> <p>El Hierro</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL11">info</a></p>
LPL12 - June 2024
<p>Measurements of LPL12 (Ilhas Desertas) in June 2024</p> <p>Madeira</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL12">info</a></p>
SG - June 2024
<p>Measurements of SG (Global) in June 2024</p> <p></p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/SG">info</a></p>
LPL8 - June 2024
<p>Measurements of LPL8 (Timanfaya NP) in June 2024</p> <p>Lanzarote</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL8">info</a></p>
LPL4 - June 2024
<p>Measurements of LPL4 (Ilha do Corvo) in June 2024</p> <p>Corvo</p><p> Light Pollution Laboratorie <a href="https://data.eelabs.eu/api/lpls/LPL4">info</a></p>
Ozone 3D field from IRS OSSE Control run - June 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the control run for June 2019. One file per day including hourly fields, gathered in 3 tar files.</p>
Ozone 3D field from IRS OSSE Nature run - June 2019
<p>In the frame of Vittorioso's PhD, an Observing System Simulation Experiment has bee set up to evaluate the future benefit of the geostationary IRS sounder on ozone field over Europe. The full set-up is composed of a Nature Run (reality), a Control Run (no assimilation) and an Assimilation Run (assimilation or IRS) over the months June to August 2019.<br>This dataset is Ozone 3D field from the nature run for June 2019. One file per day including hourly fields, gathered in 3 tar files.</p>
Data for "Unusually Low Dust Activity in North Africa in June 2023: Causes, Impacts and Future Projections"
<p>Datasets for manuscript entitled "Unusually Low Dust Activity in North Africa in June 2023: Causes, Impacts and Future Projections"</p>
Sub-hourly output over Tropical Western Pacific for June, July, August 1997
<p>To evaluate the simulation of deep convection over the Tropical Western Pacific (TWP) in the Canadian Atmospheric Model version 4.3 (CanAM4.3) we compare sub-hourly output against output from the super-parameterized Community Atmospheric Model version 5 (spCAM5). Both models used observed sea-surface temperatures, sea-ice distribution and atmospheric gases and simulated the period January through August, 1997. Model output related to deep convection for CanAM4.3 is saved every 15 minutes over the region bounded by 150 and 170 E and 0 to 10 N while the spCAM5 output was saved every 10 minutes over the same region. The CanAM4.3 data includes results from a single simulation and from a 5 member ensemble of CanAM4.3 simulations.</p> <p><br> <em>Relevant publications:</em></p> <p><br> <strong>Description of CanAM:</strong></p> <p><br> von Salzen, K., Scinocca, J. F., McFarlane, N. A., Li, J., Cole, J. N. S., Plummer, D., Verseghy, D., Reader, M. C., Ma, X., Lazare, M., and Solheim, L.: The Canadian Fourth Generation Atmospheric Global Climate Model (CanAM4). Part I: representation of physical processes. Atmosphere Ocean, 51, 104-125, doi:10.1080/07055900.2012.755610, 2013.</p> <p><strong>Description of CAM5 and spCAM5: </strong></p> <p>Khairoutdinov, M. F. and Randall, D. A.: A cloud resolving model as a cloud parameterization in the NCAR community climate system model: preliminary results. Geophys, Res. Lett., 28: 3617–3620, 2001.</p> <p>Khairoutdinov, M. F. and Randall, D. A.: Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities, J. Atmos. Sci., 60, 607–625, 2003.</p> <p>Neale, R. B., and Coauthors.: Description of the NCAR Community Atmosphere Model (CAM 5.0). NCAR Tech. Note TN-35 486, 274 pp, 2012.</p> <p><strong>Description of simulations and analysis: </strong></p> <p>Mitovski T.,Cole, J. N. S., McFarlane, N. A., von Salzen, K., and Zhang, G. J.: Convective response to large-scale forcing in the Tropical Western Pacific simulated by spCAM5 and CanAM4.3. submitted to GMD, July 2018.</p> <p> </p>
Australasia Preserves June 2019 Monthly Meetup
<p>Since the beginning of the Australasia Preserves digital preservation community of practice in February 2018, the Digital Scholarship team at the University of Melbourne has been running monthly meetups for the community, featuring practitioners and academics working in the field of digital preservation in the Australasian region. This June monthly meetup for 2019 was organised in collaboration with the National and State Libraries Australia (NSLA) digital preservation community of practice. This meetup was held on Friday 7 June, 9.30am-12pm (AEST), and the community welcomed guest speakers Micky Lindlar and Melanie Swalwell. This dataset contains a video recording of Micky Lindlar's presentation (introduced by Jaye Weatherburn), Micky Lindlar's slides, community collaborative notes, and a collection of Tweets from the event. </p>
6th International Conference "Fracture Mechanics of Materials and Structural Integrity" (June 3–6, 2019, Lviv, Ukraine)
<p><strong>12.06.2019</strong></p> <p>03–06 червня 2019 року у м. Львові відбулася 6-та Міжнародна конференція з механіки руйнування матеріалів і цілісності конструкцій (“Fracture Mechanics of Materials and Structural Integrity”, FMSI 2019). Співорганізаторами конференції виступили Європейське товариство з цілісності конструкцій (European Structural Integrity Society, ESIS), Українське товариство з механіки руйнування матеріалів, Фізико-механічний інститут імені Г.В. Карпенка НАН України та Національний університет “Львівська політехніка”.</p> <p><em>Матеріали прес-служби НАН України</em></p>
Google search trends for different vaccines from 1st June 2014 to 31st May 2019
<p>This is "Additional file" for the manuscript "Global search trends on common vaccine-related information in English on the internet"</p>
GNSS Ground Monitoring Data of the Hongyanzi Landslide Area in China from November 11, 2021 to June 4, 2022
<p>This dataset comprises Global Navigation Satellite System (GNSS) ground monitoring data collected from five distinct locations within the Hongyanzi landslide area in China. The data spans a critical time period from November 11, 2021, to June 4, 2022, providing valuable insights into the temporal deformation behavior of the landslide.</p> <p>To enhance the applicability and comparability of these GNSS measurements, we have processed the raw three-dimensional (3D) displacement vectors and projected them onto the Line-Of-Sight (LOS) direction of Interferometric Synthetic Aperture Radar (InSAR) observations. This transformation facilitates direct comparisons between the GNSS-derived deformation rates and those derived from InSAR data, enabling a more comprehensive understanding of the landslide dynamics.</p> <p>The dataset includes:</p> <ul> <li><strong>Time series of 1D displacement measurements</strong> along the InSAR LOS direction for each of the five GNSS stations.</li> </ul> <p>The high-resolution temporal coverage of this dataset, coupled with the transformation to the InSAR LOS direction, makes it an invaluable resource for researchers investigating the geomechanics of the Hongyanzi landslide, as well as for validation and calibration of remote sensing-based deformation monitoring techniques.</p> <p><strong>Potential Uses</strong>:</p> <ul> <li>Validation of InSAR-derived deformation maps and velocity fields.</li> <li>Study of landslide kinematics and triggering mechanisms.</li> <li>Integration with other geophysical and geological datasets for comprehensive hazard assessments.</li> <li>Development and testing of advanced deformation monitoring and early warning systems.</li> </ul> <p><strong>Access and Citation</strong>:<br>This dataset is freely available for research purposes under the <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank" rel="noopener noreferrer">Creative Commons Attribution 4.0 International License</a>. Please cite this dataset using the following reference (to be filled in upon upload completion):</p> <p>Aoqing Guo, 2024. GNSS Ground Monitoring Data for the Hongyanzi Landslide Area in China: Transformed to InSAR LOS Direction (November 11, 2021 - June 4, 2022). Zenodo. 10.5281/zenodo.13254357.</p>
ScienceDex guides
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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.