Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,832
datasets available to search
ShareScore release 0.9.0
Dataset results
1,832 results for “Cameras”
NCAS CAO NLC-Camera Time-Lapse Video starting at 2020-06-21 20:00 UTC
<p>A time-lapse video showing Noctilucent Clouds (NLCs) seen from southern England (51.15°N,-1.44°E) during the night of 21st/22nd June 2020. NLCs are a seasonal wonder of the natural world. They can only be seen from upper-middle and high latitudes during the mid-summer months (between mid May and mid August in the northern hemisphere). They are the result of ice crystals forming at the extraordinarily high altitude of around 82 km. This is 70 km higher than virtually all other clouds seen at these latitudes and qualifies as being at the edge of space (the atmospheric density and pressure are approximately 100,000th of their values at sea level). NLCs can only be seen during twilight hours, hence the name noctilucent, which means night-shining. In this video there is a mild display of NLCs during the dusk followed by a much more impressive display during the dawn. Note that British Summer Time (BST) is one hour ahead of Coordinated Universal Time (UTC). The solar elevation angles do not take account of atmospheric refraction, which is only noticeable when the sun is close to the horizon.</p>
NERC MSTRF Sky-Camera Time-Lapse Video for 2010-09-07 16:50 UTC (showing Cumulonimbus cloud development at sunset).
<p>A time-lapse video showing Cumulonimbus cloud development at sunset. Most of the first Cumulonimbus cloud is obscured by the smaller Cumulus clouds in the foreground. Its anvil is clearly visible. Three further Cumulonimbus clouds cast crepuscular rays from the light of the setting sun. Their anvils merge together. This video has been created from images taken by the NERC MST Radar Facility's Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>
NERC MSTRF Sky-Camera Time-Lapse Video for 2007-09-30 14:30 UTC (showing Altocumulus clouds displaying both undulatus and lenticularis features).
<p>A time-lapse video showing Altocumulus clouds displaying both undulatus and lenticularis features. A lower cloud layer can be seen moving in a different direction at the beginning of the sequence. Contrails and cirrus clouds can be seen at higher levels. This video has been created from images taken by the NERC MST Radar Facility's Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>
NERC MSTRF Sky-Camera Time-Lapse Video for 2008-07-13 18:00 UTC.
<p>A time-lapse video showing Cirrostratus clouds giving rise to a 22° Halo around the Sun. A number of aircraft Contrails pass through the field of view and a Sun Dog can be seen briefly towards the end of the sequence. This video has been created from images taken by the NERC MST Radar Facility's Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>
NCAS CDAO Sky-Camera Time-Lapse Video for 2007-10-04 05:30 UTC (showing Cumulus mediocris clouds).
<p>A time-lapse video showing Cumulus mediocris clouds (with occasional Cirrus clouds and contrails at a higher level). The Cumulus clouds are in a continuous state of change. Many can be seen to form and/or to evaporate within the field of view. The evaporating clouds give rise to ragged Cumulus fractus formations. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk .</p>
NERC MSTRF Sky-Camera Time-Lapse Video for 2007-05-29 03:00 UTC.
<p>A time-lapse video showing the development of Cumulus congestus clouds, leading to a Rain Shower and a Rainbow. This video has been created from images taken by the NERC MST Radar Facility's Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>
NERC MSTRF Sky-Camera Time-Lapse Video for 2010-09-07 05:30 UTC (showing widespread development of Cumulonimbus clouds, some of which have extensive Anvils).
<p>A time-lapse video showing widespread development of Cumulonimbus clouds, some of which have extensive Anvils. A variety of other cumuloform clouds can be seen. The origin of the widespread cirrus cloud seen during the second half of the sequence is probably outflow from Cumulonimbus anvils. This video has been created from images taken by the NERC MST Radar Facility's Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>
NCAS CDAO Sky-Camera Time-Lapse Video for 2008-10-05 11:00 UTC (showing Cumulus humilis clouds, which are also known as fair weather cumulus).
<p>A time-lapse video showing Cumulus humilis clouds, which are also known as fair weather cumulus. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk .</p>
NERC MSTRF Sky-Camera Time-Lapse Video for 2008-01-02 15:00 UTC (showing Altocumulus lenticularis clouds revealing Mountain Wave activity).
<p>A time-lapse video showing Altocumulus lenticularis clouds revealing Mountain Wave activity. Notice how the positions of the clouds remain fixed relative to the landscape. This contrasts with the lower-level (Cumulus) clouds, seen at the beginning of the sequence, which move downstream with the wind. This video has been created from images taken by the NERC MST Radar Facility's Sky-Camera, which is located near Aberystwyth in West Wales. The images are freely available, under an Open (UK) Government License, from http://tinyurl.com/nerc-mstrf-sky-camera/ . For an explanation of the atmospheric phenomena that can be seen, download the resource available at http://cedadocs.ceda.ac.uk/1259/ .</p>
NCAS CDAO Sky-Camera Time-Lapse Video for 2007-05-21 03:00 UTC (showing Altocumulus undulatus clouds).
<p>A time-lapse video showing Altocumulus undulatus clouds. The cloud layer initially appears to be of Stratocumulus type, with relatively poorly-defined undulatus elements. However, the layer soon breaks up to give well-defined Altocumulus undulatus. Cirrus clouds and contrails can be seen at a higher level towards the end of the sequence. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk .</p>
NCAS CAO NLC-Camera Time-Lapse Video starting at 2020-07-11 00:00 UTC
<p>A time-lapse video showing Noctilucent Clouds (NLCs) and a Comet seen from southern England (51.15°N,-1.44°E) during the dawn of 11th July 2020. NLCs are a seasonal wonder of the natural world. They can only be seen from upper-middle and high latitudes during the mid-summer months (between mid May and mid August in the northern hemisphere). They are the result of ice crystals forming at the extraordinarily high altitude of around 82 km. This is 70 km higher than virtually all other clouds seen at these latitudes and qualifies as being at the edge of space (the atmospheric density and pressure are approximately 100,000th of their values at sea level). NLCs can only be seen during twilight hours, hence the name noctilucent, which means night-shining. Note that British Summer Time (BST) is one hour ahead of Coordinated Universal Time (UTC). The solar elevation angles do not take account of atmospheric refraction, which is only noticeable when the sun is close to the horizon. The brightest star seen in the video is Capella, which is in the constellation Auriga. It starts near the bottom-centre and moves in an arc towards the right and upwards. The comet NEOWISE can be seen following a similar path from approximately 01:20 UTC.</p>
NCAS CDAO Sky-Camera Time-Lapse Video for 2007-09-04 17:50 UTC (showing Stratocumulus clouds that develop wave-like asperitas features).
<p>A time-lapse video showing Stratocumulus clouds that develop wave-like asperitas features. During the early part of the sequence, there appear to be layers of cloud at two distinct levels. These are lit differently by the setting sun. The asperitas features begin to appear approximately half way through the sequence. Altocumulus undulatus clouds can be seen towards the end. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk .</p>
NCAS CDAO Sky-Camera Time-Lapse Video for 2009-03-25 17:25 UTC (showing Altocumulus fluctus and Altocumulus undulatus clouds followed by Altocumulus lenticularis)
<p>A time-lapse video showing Altocumulus fluctus and Altocumulus undulatus clouds followed by Altocumulus lenticularis. The short-lived fluctus cloud feature is caused by Kelvin-Helmholtz wave activity, which is generated where the wind speed changes sharply with altitude. The initial telephoto image shows the characteristic breaking-wave pattern. This was taken (at 17:37 UTC) at the same location as the camera used to to generate the video sequence, but shows a narrower field of view. The wave activity is also revealed by the Altocumulus undulatus cloud elements, which form in parallel bands. There is evidence of mountain wave activity throughout the sequence and Altocumulus lenticularis becomes the dominant cloud type towards the end. These clouds remain stationary relative to the landscape rather moving with the wind. Occasional contrails and Cirrus clouds can be seen at a higher level (one of the contrails develops undulatus features). These remain illuminated for longer than the Altocumulus clouds as the sun sets. This video has been created from images taken by the Sky-Camera at the National Centre for Atmospheric Science (NCAS) Capel Dewi Atmospheric Observatory (CDAO) near Aberystwyth, UK - formerly known as the Natural Environment Research Council (NERC) Mesosphere-Stratosphere-Troposphere (MST) Radar Facility. The images are freely available under a UK Open Government Licence from http://tinyurl.com/nerc-mstrf-sky-camera/ . For more details visit http://mst.nerc.ac.uk .</p>
Benchmark datasets for detection and identification of insects from camera trap images with deep learning
<p><strong>Insect benchmark datasets for training, validation and test (train1201.zip, val1201.zip and test1201.zip) with time-lapse images as described in paper:</strong></p> <p><a href="https://www.biorxiv.org/content/10.1101/2022.10.25.513484v1">Bjerge K, Alison J, Dyrmann M, Frigaard C.E., Mann H. M. R., Høye T.T., Accurate detection and identification of insects from camera trap images with deep learning, bioRxiv:10.1101/2022.10.25.513484v1</a></p> <p>Labels in <strong>YOLO format: <a href="https://github.com/ultralytics/yolov5/issues/2293">ultralytics/yolov5: label format</a></strong></p> <p>The annotated training and validation datasets contains insects of nine different species as listed below:</p> <table> <tbody> <tr> <td>0 <em>Coccinellidae septempunctata</em></td> </tr> <tr> <td>1 <em>Apis mellifera</em></td> </tr> <tr> <td>2 <em>Bombus lapidarius</em></td> </tr> <tr> <td>3 <em>Bombus terrestris</em></td> </tr> <tr> <td>4 <em>Eupeodes corolla</em></td> </tr> <tr> <td>5 <em>Episyrphus balteatus</em></td> </tr> <tr> <td>6 <em>Aglais urticae</em></td> </tr> <tr> <td>7 <em>Vespula vulgaris</em></td> </tr> <tr> <td>8 <em>Eristalis tenax</em></td> </tr> </tbody> </table> <p>The test dataset contains additional classes of insects.</p> <table> <tbody> <tr> <td>9 Non-Bombus Anthophila</td> </tr> <tr> <td>10 Bombus spp.</td> </tr> <tr> <td>11 Syrphidae</td> </tr> <tr> <td>12 Fly spp.</td> </tr> <tr> <td>13 Unclear insect</td> </tr> <tr> <td>14 Mixed animals:<br> ——————————<br> Rhopalocera<br> Non-Anthophila Hymenoptera<br> Non-Syrphidae Diptera<br> Non-Conccinalidae Coleoptera<br> Concinellidae<br> Other animals</td> </tr> </tbody> </table> <p><strong>There are two naming conventions for image (.jpg) and label (.txt) files.</strong></p> <p><em>Background images without insects are named</em>:<br> “<strong>X_Seq-YYYYMMDDHHMMSS</strong>-snapshot”.<br> E.g.:<br> Background image: 12_13-20190704172200-snapshot.jpg<br> Empty label file: 12_13-20190704172200-snapshot.txt</p> <p><em>Images annotated with insects are named:</em><br> “<strong>SZ_IP-MonthDate_C_Seq-YYYYMMDDHHMMSS</strong>”.<br> E.g.:<br> Image file: S1_146-Aug23_1_156-20190822133230.jpg<br> Label file: S1_146-Aug23_1_156-20190822133230.txt</p> <p><strong>Abbreviations</strong>:</p> <p><strong>YYYYMMDDHHMMSS </strong>– Capture timestamp with year, month, date, hour, minutes, and second<br> <strong>Seq</strong> – Sequence number created by the motion program to separate images<br> <strong>C</strong> – Identification of two cameras with Id=0 or Id=1 in system identified by <strong>SZ_IP</strong><br> <strong>MonthDate </strong>– Folder name for where the original image were stored in the system<br> <strong>SZ_IP</strong> – Identification of five camera systems: S1_123, S2_146, S3_194, S4_199, S5_187 (Two cameras in each system)<br> <strong>X</strong> – An index number related to a specific camera and folder ensuring unique file names of background images from different camera systems.<br> <br> The important information in a filename is system (<strong>SZ_IP</strong>), camera Id (<strong>C</strong>) and timestamp (<strong>YYYYMMDDHHMMSS</strong>).</p> <p><strong>The three best YOLOv5 models (YOLOv5models.zip) from the paper are available in pytorch format.</strong></p> <p>All models are tested with YOLOv5 release v7.0 (22-11-2022): <a href="https://github.com/ultralytics/yolov5">ultralytics/yolov5: YOLOv5 in PyTorch</a></p> <p><strong>insect1201-bestF1-640v5m.pt</strong>: Model no. 6 in Table 2 (F1=0.912)<br> <strong>insect1201-bestF1-1280v5m6.pt</strong>: Model no. 8 in Table 2 (F1=0.925)<br> <strong>insect1201-bestF1-1280v5m6.pt</strong>: Model no. 10 in Table 2 (F1=0.932)</p> <p><strong>insects-1201val.yaml</strong>: YAML file with label names to train YOLOv5</p> <p><strong>trainInsects-1201m.sh</strong>: Linux bash shell script with parameters to train YOLOv5m6<br> <strong>valInsectsF1-1201.sh</strong>: Linux bash shell script with parameters to validated models</p> <p> </p>
Drone survey, time-lapse camera, and satellite SAR data covering the 2021 summit craters and late fractures at Tajogaite volcano, Cumbre Vieja, La Palma
<p>A new eruption started on 19 September 2021 at the Tajogaite volcano, which is at the western flank of the Cumbre Vieja, just 1•5km to the north of the vents of the 1949 eruption, and terminated after 85 days on 13 December 2021. The location of the 2021 eruption at the Cumbre Vieja was not foreseen, although a diffuse unrest was identified years before already. At the location of the eruption, the slope of the edifice was gentle, but a number of older vents, mostly open to the west, were evident. Here we present field and satellite data showing (a) the development of the craters at the summit of the evolving Tajogaite volcano, and (b) the formation of a pronounced structural trend interpreted to be related to tensile faulting during the late stage of the eruption.</p> <p>Data contains:</p> <ol> <li>Drone data acquired by DJI drones (Phantom RTK and Mavic2) during two periods showing the summit craters and the tensile fracture set in detail.</li> <li>Time-lapse camera records from the east and the north-northeast showing eruption and morphology changes.</li> <li>Satellite radar amplitude data acquired in three different geometries (2 ascending and 1 descending track) of the Cosmo Skymed Satellite constellation</li> </ol> <p>Use data without restriction but cite our work; for details on acquisition geometries and maps refer to the papers published by:</p> <ul> <li>Walter, T.R.; Zorn, E.Z.; Gonzalez, P.J.; Sansosti, E.; Munoz, V.; Shevchenko, A.V.; Plank, S.; Reale, D.; Richter, N. (in press) Late complex tensile fracturing interacts with topography at Cumbre Vieja, La Palma, VOLCANICA 5(2): 300–316. https://doi.org/10.30909/vol.05.02.300</li> <li>Muñoz, V.; Walter, T.R.; Zorn, E.U.; Shevchenko, A.V.; González, P.J.; Reale, D.; Sansosti, E. Satellite Radar and Camera Time Series Reveal Transition from Aligned to Distributed Crater Arrangement during the 2021 Eruption of Cumbre Vieja, La Palma (Spain). Remote Sens. 2022, 14, 6168. https://doi.org/10.3390/rs14236168</li> </ul> <p> </p>
Data for: Tailored frequency conversion makes infrared light visible for streak cameras
<p>Data for the publication "Tailored frequency conversion makes infrared light visible for streak cameras".</p> <p>Streak cameras are one of the most common and convenient devices to measure pulsed emission e.g. from semiconductor lightsources with picosecond time resolution. However, they are most sensitive in the visible range and possess low or negligible efficiency in the infrared and telecom regime. In this work, we present a frequency conversion based on sum-frequency generation that converts infrared to visible signals while preserving their temporal properties, making them detectable with a streak camera. We demonstrate and verify the functionality of our device by converting the emission from a quantum dot laser.</p> <p>Funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – SFB-Geschäftszeichen TRR142/3-2022 – Projektnummer 231447078, Project C01.</p>
Hyperspectral image using Specim IQ camera from Chatzivariti Winery (survey date 2021-08-13) #33
<p>The image contains the hyperspectral data from Chatzivariti Winery captured with Specim IQ hyperspectral camera. The grape variety of the field is Traminer (Gewürztraminer). The image captured at 2021-08-13 (#33) and it was processed using Specim IQ Studio.</p>
Hyperspectral image using Specim IQ camera from Chatzivariti Winery (survey date 2021-07-23) #20
<p>The image contains the hyperspectral data from Chatzivariti Winery captured with Specim IQ hyperspectral camera. The grape variety of the field is Traminer (Gewürztraminer). The image captured at 2021-07-23 (#20) and it was processed using Specim IQ Studio.</p>
Hyperspectral image using Specim IQ camera from Chatzivariti Winery (survey date 2021-08-13) #17
<p>The image contains the hyperspectral data from Chatzivariti Winery captured with Specim IQ hyperspectral camera. The grape variety of the field is Xinomavro. The image captured at 2021-08-13 (#17) and it was processed using Specim IQ Studio.</p>
Insights into Batch Selection for Event-camera Motion Estimation - Datasets
<p>See <a href="https://github.com/event-driven-robotics/batch-selection-experiments">https://github.com/event-driven-robotics/batch-selection-experiments</a> for examples on how to read and process the data.</p> <p>Simulated datasets were used to accurately have a ground-truth of 3 DoF camera rotation, for valid training and evaluation. Four photo-realistic simulated environments from UnrealCV Zoo were selected as they are publicly available indoor scenes and include diverse lighting textures, shadows, reflections and object clutter. The camera was positioned inside the virtual room and rotated along all its three axes randomly at a variety of speeds. Frames were generated at >1 kHz from which the event-stream is generated using log-image-difference techniques. Five velocity trajectories were used for <em>arch1</em>, four velocity trajectories were used for <em>arch2</em>, and three trajectories for <em>arch3</em>. Including the final <em>room</em> dataset, a total of 13 different datasets (each with a different velocity trajectory) cover a total of 190 seconds of data. Note: <em>room</em> is split into 3 archived files.</p> <p>Please cite:</p> <blockquote> <p>Valerdi, J.L., Bartolozzi, C. and Glover, A., 2023. Insights into Batch Selection for Event-Camera Motion Estimation. <em>Sensors</em>, <em>23</em>(7), p.3699.</p> </blockquote> <pre><code>@article{valerdi2023insights, title={Insights into Batch Selection for Event-Camera Motion Estimation}, author={Valerdi, Juan L and Bartolozzi, Chiara and Glover, Arren}, journal={Sensors}, volume={23}, number={7}, pages={3699}, year={2023}, publisher={MDPI} }</code></pre>
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.